diff --git a/python/.github/skills/python-package-management/SKILL.md b/python/.github/skills/python-package-management/SKILL.md
index cd870c747d..258112184a 100644
--- a/python/.github/skills/python-package-management/SKILL.md
+++ b/python/.github/skills/python-package-management/SKILL.md
@@ -97,13 +97,20 @@ def __getattr__(name: str) -> Any:
 
 **Important:** Do not create a new package unless approved by the core team.
 
-### Initial Release (Preview)
+Every new package starts as `alpha`.
+
+### Alpha package checklist
 
 1. Create directory under `packages/` (e.g., `packages/my-connector/`)
 2. Add the package to `tool.uv.sources` in root `pyproject.toml`
-3. Include samples inside the package (e.g., `packages/my-connector/samples/`)
-4. Do **NOT** add to `[all]` extra in `packages/core/pyproject.toml`
-5. Do **NOT** create lazy loading in core yet
+3. Set the package version to the alpha pattern: `1.0.0a<date>`
+4. Set the package classifier to `Development Status :: 3 - Alpha`
+5. Include samples inside the package (e.g., `packages/my-connector/samples/`)
+6. Do **NOT** add to `[all]` extra in `packages/core/pyproject.toml`
+7. Do **NOT** create lazy loading in core yet
+8. Add the package to `python/PACKAGE_STATUS.md` and keep that file updated when packages are added,
+   removed, renamed, or promoted. If the package exposes individually staged APIs, keep the feature list
+   there current too.
 
 Recommended dependency workflow during connector implementation:
 
@@ -116,17 +123,83 @@ Recommended dependency workflow during connector implementation:
    `uv run poe add-dependency-and-validate-bounds --package core --dependency "<dependency-spec>"`
    If compatibility checks are not in place yet, add the dependency first, then implement tests before running bound validation.
 
-### Promotion to Stable
+### Promotion path
 
-1. Move samples to root `samples/` folder
-2. Add to `[all]` extra in `packages/core/pyproject.toml`
-3. Create provider folder in `agent_framework/` with lazy loading `__init__.py`
+Promotion work is not isolated to the package being promoted. If a promotion changes dependency
+metadata for downstream packages, also update the dependent packages' own versions so they publish
+new metadata alongside the promoted dependency bounds.
+Apply the internal package dependency update rules from the versioning section below during
+promotions as well as standalone version update work.
+
+#### Alpha -> Beta
+
+Move a package to `beta` when it is stable enough to be part of the main install surface.
+
+1. Update the package version to the beta pattern: `1.0.0b<date>`
+2. Update the classifier to `Development Status :: 4 - Beta`
+3. Add the package to `[all]` in `packages/core/pyproject.toml`
+4. Move samples to the root `samples/` tree and remove package-local samples
+5. Create or update the relevant lazy-loading namespace in core when the package belongs under one
+6. Update `python/PACKAGE_STATUS.md`
+
+After `alpha`, there should be no samples left inside a package folder.
+
+#### Beta -> RC
+
+Move a package to `rc` when its API is close to the final released shape.
+
+1. Update the package version to the release-candidate pattern: `1.0.0rc<number>`
+2. Keep the classifier at `Development Status :: 4 - Beta` because PyPI does not have a separate
+   release-candidate classifier
+3. Keep the package in `core[all]`
+4. Keep samples only in the root `samples/` tree
+5. Update `python/PACKAGE_STATUS.md` to show the package as `rc`
+
+#### RC -> Released
+
+Move a package to `released` when it no longer carries a prerelease qualifier.
+
+1. Update the package version to the stable pattern: `1.0.0`
+2. Update the classifier to `Development Status :: 5 - Production/Stable`
+3. Keep the package in `core[all]`
+4. Keep samples only in the root `samples/` tree
+5. Update `python/PACKAGE_STATUS.md` to show the package as `released`
+6. Update all `README.md` files that install that package with
+   `pip install agent-framework-... --pre` so they use `pip install agent-framework-...` without
+   the `--pre` suffix
 
 ## Versioning
 
+### Internal package dependency updates
+
+- If package A depends on package B within this repository, only update package A's dependency
+  declaration when the work on package B actually affects package A.
+- If package A does not need anything from the package B change, leave package A's dependency
+  declaration unchanged.
+- If package A does need something from the package B change, update package A's dependency
+  declaration to the version or versioning scheme that matches what package A now requires.
+- If package B is promoted to a different lifecycle stage, update package A's dependency
+  declaration to the new versioning scheme for package B even when the only change is the stage
+  transition itself.
+- Use this guidance both for ordinary version updates and for package promotion work.
+
 - All non-core packages declare a lower bound on `agent-framework-core`
 - When core version bumps with breaking changes, update the lower bound in all packages
 - Non-core packages version independently; only raise core bound when using new core APIs
+- If promoting a package changes a dependent package's published dependency metadata, bump the
+  dependent package's own version in the correct lifecycle pattern for its current stage
+- Lifecycle version patterns:
+  - `alpha`: `1.0.0a<date>`
+  - `beta`: `1.0.0b<date>`
+  - `rc`: `1.0.0rc<number>`
+  - `released`: `1.0.0`
+- Keep the `Development Status` classifier in `pyproject.toml` aligned with the lifecycle stage:
+  - `alpha` -> `Development Status :: 3 - Alpha`
+  - `beta` -> `Development Status :: 4 - Beta`
+  - `rc` -> `Development Status :: 4 - Beta`
+  - `released` -> `Development Status :: 5 - Production/Stable`
+- See the PyPI classifier list for the available classifier values:
+  `https://pypi.org/classifiers/`
 
 ## Installation Options
 
@@ -144,6 +217,10 @@ When changing a package, check if its `AGENTS.md` needs updates:
 - Changing the package's purpose or architecture
 - Modifying import paths or usage patterns
 
+Keep `python/PACKAGE_STATUS.md` updated when:
+- A package is added, removed, renamed, or promoted between lifecycle stages
+- A package starts or stops exposing individually staged experimental or release-candidate APIs
+
 When a package adds, removes, or renames environment variables, update the related documentation in the same
 change:
 - The package's `README.md` for package-level configuration/env var guidance
diff --git a/python/PACKAGE_STATUS.md b/python/PACKAGE_STATUS.md
new file mode 100644
index 0000000000..7a726812ff
--- /dev/null
+++ b/python/PACKAGE_STATUS.md
@@ -0,0 +1,71 @@
+# Python Package Status
+
+This file tracks the current lifecycle state of the Python packages in this workspace. Some packages at later stages might have features within them that are not ready yet, these have feature stage decorators on the relevant APIs, and for `experimental` features warnings are raised. See the [Feature-level staged APIs](#feature-level-staged-apis) section below for details on which features are in which stage and where to find them.
+
+Status is grouped into these buckets:
+
+- `alpha` - initial release and early development packages that are not yet ready for general use
+- `beta` - prerelease packages that are not currently release candidates
+- `rc` - release candidate packages, these are close to ready for release but may still have some breaking changes before the final release
+- `released` - stable packages without a prerelease suffix, these are stable packages that should not have breaking changes between versions
+- `deprecated` - removed or deprecated packages that should not be used for new work
+
+## Current packages
+
+| Package | Path | State |
+| --- | --- | --- |
+| `agent-framework` | `python/` | `released` |
+| `agent-framework-a2a` | `python/packages/a2a` | `beta` |
+| `agent-framework-ag-ui` | `python/packages/ag-ui` | `beta` |
+| `agent-framework-anthropic` | `python/packages/anthropic` | `beta` |
+| `agent-framework-azure-ai-search` | `python/packages/azure-ai-search` | `beta` |
+| `agent-framework-azure-cosmos` | `python/packages/azure-cosmos` | `beta` |
+| `agent-framework-azurefunctions` | `python/packages/azurefunctions` | `beta` |
+| `agent-framework-bedrock` | `python/packages/bedrock` | `beta` |
+| `agent-framework-chatkit` | `python/packages/chatkit` | `beta` |
+| `agent-framework-claude` | `python/packages/claude` | `beta` |
+| `agent-framework-copilotstudio` | `python/packages/copilotstudio` | `beta` |
+| `agent-framework-core` | `python/packages/core` | `released` |
+| `agent-framework-declarative` | `python/packages/declarative` | `beta` |
+| `agent-framework-devui` | `python/packages/devui` | `beta` |
+| `agent-framework-durabletask` | `python/packages/durabletask` | `beta` |
+| `agent-framework-foundry` | `python/packages/foundry` | `released` |
+| `agent-framework-foundry-local` | `python/packages/foundry_local` | `beta` |
+| `agent-framework-github-copilot` | `python/packages/github_copilot` | `beta` |
+| `agent-framework-lab` | `python/packages/lab` | `beta` |
+| `agent-framework-mem0` | `python/packages/mem0` | `beta` |
+| `agent-framework-ollama` | `python/packages/ollama` | `beta` |
+| `agent-framework-openai` | `python/packages/openai` | `released` |
+| `agent-framework-orchestrations` | `python/packages/orchestrations` | `beta` |
+| `agent-framework-purview` | `python/packages/purview` | `beta` |
+| `agent-framework-redis` | `python/packages/redis` | `beta` |
+
+## Deprecated / removed packages
+
+| Package | Previous path | State | Notes |
+| --- | --- | --- | --- |
+| `agent-framework-azure-ai` | `python/packages/azure-ai` | `deprecated` | The client classes within the `azure-ai` package were renamed, sometimes changed, and moved to `agent-framework-foundry`. |
+
+## Feature-level staged APIs
+
+The following feature IDs have explicit feature-stage decorators on public APIs in the packages
+listed below.
+
+### Experimental features
+
+#### `EVALS`
+
+- `agent-framework-core`: exported evaluation APIs from `agent_framework`, including
+  `LocalEvaluator`, `evaluate_agent`, `evaluate_workflow`, and the related evaluation types and
+  helper checks defined in `agent_framework/_evaluation.py`
+- `agent-framework-foundry`: `FoundryEvals`, `evaluate_traces`, and `evaluate_foundry_target`
+
+#### `SKILLS`
+
+- `agent-framework-core`: exported skills APIs from `agent_framework`, including `Skill`,
+  `SkillResource`, `SkillScript`, `SkillScriptRunner`, and `SkillsProvider` from
+  `agent_framework/_skills.py`
+
+### Release-candidate features
+
+There are currently no feature-level `rc` APIs.
diff --git a/python/README.md b/python/README.md
index 55af41d399..c721feb8cd 100644
--- a/python/README.md
+++ b/python/README.md
@@ -9,10 +9,10 @@ We recommend two common installation paths depending on your use case.
 If you are exploring or developing locally, install the entire framework with all sub-packages:
 
 ```bash
-pip install agent-framework --pre
+pip install agent-framework
 ```
 
-This installs the core and every integration package, making sure that all features are available without additional steps. The `--pre` flag is required while Agent Framework is in preview. This is the simplest way to get started.
+This installs the core and every integration package, making sure that all features are available without additional steps. This is the simplest way to get started.
 
 ### 2. Selective install
 
@@ -22,19 +22,19 @@ If you only need specific integrations, you can install at a more granular level
 # Core only
 # includes Azure OpenAI and OpenAI support by default
 # also includes workflows and orchestrations
-pip install agent-framework-core --pre
+pip install agent-framework-core
 
 # Core + Azure AI Foundry integration
-pip install agent-framework-foundry --pre
+pip install agent-framework-foundry
 
-# Core + Microsoft Copilot Studio integration
+# Core + Microsoft Copilot Studio integration (preview package)
 pip install agent-framework-copilotstudio --pre
 
 # Core + both Microsoft Copilot Studio and Azure AI Foundry integration
-pip install agent-framework-microsoft agent-framework-foundry --pre
+pip install --pre agent-framework-copilotstudio agent-framework-foundry
 ```
 
-This selective approach is useful when you know which integrations you need, and it is the recommended way to set up lightweight environments.
+This selective approach is useful when you know which integrations you need, and it is the recommended way to set up lightweight environments. Released packages such as `agent-framework`, `agent-framework-core`, and `agent-framework-foundry` no longer require `--pre`, while preview connectors such as `agent-framework-copilotstudio` still do.
 
 Supported Platforms:
 
diff --git a/python/packages/a2a/pyproject.toml b/python/packages/a2a/pyproject.toml
index 23b14cd01d..4171f72c4c 100644
--- a/python/packages/a2a/pyproject.toml
+++ b/python/packages/a2a/pyproject.toml
@@ -4,7 +4,7 @@ description = "A2A integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "a2a-sdk>=0.3.5,<0.3.24",
 ]
 
diff --git a/python/packages/ag-ui/getting_started/client.py b/python/packages/ag-ui/getting_started/client.py
index fc0dfc3884..8b1013bc61 100644
--- a/python/packages/ag-ui/getting_started/client.py
+++ b/python/packages/ag-ui/getting_started/client.py
@@ -44,7 +44,7 @@ async def main():
                 metadata = {"thread_id": thread_id} if thread_id else None
 
                 stream = client.get_response(
-                    [Message(role="user", text=message)],
+                    [Message(role="user", contents=[message])],
                     stream=True,
                     options={"metadata": metadata} if metadata else None,
                 )
diff --git a/python/packages/ag-ui/getting_started/client_advanced.py b/python/packages/ag-ui/getting_started/client_advanced.py
index 25f1edc7a4..74bb8e74b8 100644
--- a/python/packages/ag-ui/getting_started/client_advanced.py
+++ b/python/packages/ag-ui/getting_started/client_advanced.py
@@ -73,7 +73,7 @@ async def streaming_example(client: AGUIChatClient, thread_id: str | None = None
     print("Assistant: ", end="", flush=True)
 
     stream = client.get_response(
-        [Message(role="user", text="Tell me a short joke")],
+        [Message(role="user", contents=["Tell me a short joke"])],
         stream=True,
         options={"metadata": metadata} if metadata else None,
     )
@@ -100,7 +100,7 @@ async def non_streaming_example(client: AGUIChatClient, thread_id: str | None =
 
     print("\nUser: What is 2 + 2?\n")
 
-    response = await client.get_response([Message(role="user", text="What is 2 + 2?")], metadata=metadata)
+    response = await client.get_response([Message(role="user", contents=["What is 2 + 2?"])], metadata=metadata)
 
     print(f"Assistant: {response.text}")
 
@@ -139,7 +139,9 @@ async def tool_example(client: AGUIChatClient, thread_id: str | None = None):
     print("(Server must be configured with matching tools to execute them)\n")
 
     response = await client.get_response(
-        [Message(role="user", text="What's the weather in Seattle?")], tools=[get_weather, calculate], metadata=metadata
+        [Message(role="user", contents=["What's the weather in Seattle?"])],
+        tools=[get_weather, calculate],
+        metadata=metadata,
     )
 
     print(f"Assistant: {response.text}")
@@ -174,7 +176,7 @@ async def conversation_example(client: AGUIChatClient):
 
     # First turn
     print("User: My name is Alice\n")
-    response1 = await client.get_response([Message(role="user", text="My name is Alice")])
+    response1 = await client.get_response([Message(role="user", contents=["My name is Alice"])])
     print(f"Assistant: {response1.text}")
     thread_id = response1.additional_properties.get("thread_id")
     print(f"\n[Thread: {thread_id}]")
@@ -182,7 +184,7 @@ async def conversation_example(client: AGUIChatClient):
     # Second turn - using same thread
     print("\nUser: What's my name?\n")
     response2 = await client.get_response(
-        [Message(role="user", text="What's my name?")], options={"metadata": {"thread_id": thread_id}}
+        [Message(role="user", contents=["What's my name?"])], options={"metadata": {"thread_id": thread_id}}
     )
     print(f"Assistant: {response2.text}")
 
@@ -193,7 +195,7 @@ async def conversation_example(client: AGUIChatClient):
     # Third turn
     print("\nUser: Can you also tell me what 10 * 5 is?\n")
     response3 = await client.get_response(
-        [Message(role="user", text="Can you also tell me what 10 * 5 is?")],
+        [Message(role="user", contents=["Can you also tell me what 10 * 5 is?"])],
         options={"metadata": {"thread_id": thread_id}},
         tools=[calculate],
     )
diff --git a/python/packages/ag-ui/pyproject.toml b/python/packages/ag-ui/pyproject.toml
index dbe798fc81..36f9bb805f 100644
--- a/python/packages/ag-ui/pyproject.toml
+++ b/python/packages/ag-ui/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "agent-framework-ag-ui"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 description = "AG-UI protocol integration for Agent Framework"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "ag-ui-protocol==0.1.13",
     "fastapi>=0.115.0,<0.133.1",
     "uvicorn[standard]>=0.30.0,<0.42.0"
diff --git a/python/packages/ag-ui/tests/ag_ui/test_ag_ui_client.py b/python/packages/ag-ui/tests/ag_ui/test_ag_ui_client.py
index df6359b8ba..d473e5becc 100644
--- a/python/packages/ag-ui/tests/ag_ui/test_ag_ui_client.py
+++ b/python/packages/ag-ui/tests/ag_ui/test_ag_ui_client.py
@@ -67,8 +67,8 @@ class TestAGUIChatClient:
         """Test state extraction when no state is present."""
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         messages = [
-            Message(role="user", text="Hello"),
-            Message(role="assistant", text="Hi there"),
+            Message(role="user", contents=["Hello"]),
+            Message(role="assistant", contents=["Hi there"]),
         ]
 
         result_messages, state = client.extract_state_from_messages(messages)
@@ -87,7 +87,7 @@ class TestAGUIChatClient:
         state_b64 = base64.b64encode(state_json.encode("utf-8")).decode("utf-8")
 
         messages = [
-            Message(role="user", text="Hello"),
+            Message(role="user", contents=["Hello"]),
             Message(
                 role="user",
                 contents=[Content.from_uri(uri=f"data:application/json;base64,{state_b64}")],
@@ -125,8 +125,8 @@ class TestAGUIChatClient:
         """Test message conversion to AG-UI format."""
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         messages = [
-            Message(role="user", text="What is the weather?"),
-            Message(role="assistant", text="Let me check.", message_id="msg_123"),
+            Message(role="user", contents=["What is the weather?"]),
+            Message(role="assistant", contents=["Let me check."], message_id="msg_123"),
         ]
 
         agui_messages = client.convert_messages_to_agui_format(messages)
@@ -173,7 +173,7 @@ class TestAGUIChatClient:
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         monkeypatch.setattr(client.http_service, "post_run", mock_post_run)
 
-        messages = [Message(role="user", text="Test message")]
+        messages = [Message(role="user", contents=["Test message"])]
         chat_options = ChatOptions()
 
         updates: list[ChatResponseUpdate] = []
@@ -206,7 +206,7 @@ class TestAGUIChatClient:
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         monkeypatch.setattr(client.http_service, "post_run", mock_post_run)
 
-        messages = [Message(role="user", text="Test message")]
+        messages = [Message(role="user", contents=["Test message"])]
         chat_options = {}
 
         response = await client.inner_get_response(messages=messages, options=chat_options)
@@ -249,7 +249,7 @@ class TestAGUIChatClient:
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         monkeypatch.setattr(client.http_service, "post_run", mock_post_run)
 
-        messages = [Message(role="user", text="Test with tools")]
+        messages = [Message(role="user", contents=["Test with tools"])]
         chat_options = ChatOptions(tools=[test_tool])
 
         response = await client.inner_get_response(messages=messages, options=chat_options)
@@ -273,7 +273,7 @@ class TestAGUIChatClient:
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         monkeypatch.setattr(client.http_service, "post_run", mock_post_run)
 
-        messages = [Message(role="user", text="Test server tool execution")]
+        messages = [Message(role="user", contents=["Test server tool execution"])]
 
         updates: list[ChatResponseUpdate] = []
         async for update in client.get_response(messages, stream=True):
@@ -315,7 +315,7 @@ class TestAGUIChatClient:
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         monkeypatch.setattr(client.http_service, "post_run", mock_post_run)
 
-        messages = [Message(role="user", text="Test server tool execution")]
+        messages = [Message(role="user", contents=["Test server tool execution"])]
 
         async for _ in client.get_response(
             messages, stream=True, options={"tool_choice": "auto", "tools": [client_tool]}
@@ -331,7 +331,7 @@ class TestAGUIChatClient:
         state_b64 = base64.b64encode(state_json.encode("utf-8")).decode("utf-8")
 
         messages = [
-            Message(role="user", text="Hello"),
+            Message(role="user", contents=["Hello"]),
             Message(
                 role="user",
                 contents=[Content.from_uri(uri=f"data:application/json;base64,{state_b64}")],
@@ -388,7 +388,7 @@ class TestAGUIChatClient:
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         monkeypatch.setattr(client.http_service, "post_run", mock_post_run)
 
-        messages = [Message(role="user", text="Test")]
+        messages = [Message(role="user", contents=["Test"])]
         response = await client.inner_get_response(messages=messages, options={}, stream=False)
 
         assert response is not None
@@ -416,7 +416,7 @@ class TestAGUIChatClient:
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         monkeypatch.setattr(client.http_service, "post_run", mock_post_run)
 
-        messages = [Message(role="user", text="Test")]
+        messages = [Message(role="user", contents=["Test"])]
         updates: list[ChatResponseUpdate] = []
         async for update in client._inner_get_response(messages=messages, stream=True, options={"tools": [my_tool]}):
             updates.append(update)
@@ -451,7 +451,7 @@ class TestAGUIChatClient:
         client = StubAGUIChatClient(endpoint="http://localhost:8888/")
         monkeypatch.setattr(client.http_service, "post_run", mock_post_run)
 
-        messages = [Message(role="user", text="continue")]
+        messages = [Message(role="user", contents=["continue"])]
         options = {
             "available_interrupts": available_interrupts,
             "resume": resume_payload,
diff --git a/python/packages/anthropic/pyproject.toml b/python/packages/anthropic/pyproject.toml
index ff89124577..feed99a503 100644
--- a/python/packages/anthropic/pyproject.toml
+++ b/python/packages/anthropic/pyproject.toml
@@ -4,7 +4,7 @@ description = "Anthropic integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "anthropic>=0.80.0,<0.80.1",
 ]
 
diff --git a/python/packages/anthropic/tests/test_anthropic_client.py b/python/packages/anthropic/tests/test_anthropic_client.py
index c0567b6d87..52bb4c3a49 100644
--- a/python/packages/anthropic/tests/test_anthropic_client.py
+++ b/python/packages/anthropic/tests/test_anthropic_client.py
@@ -172,7 +172,7 @@ def test_anthropic_client_service_url(mock_anthropic_client: MagicMock) -> None:
 def test_prepare_message_for_anthropic_text(mock_anthropic_client: MagicMock) -> None:
     """Test converting text message to Anthropic format."""
     client = create_test_anthropic_client(mock_anthropic_client)
-    message = Message(role="user", text="Hello, world!")
+    message = Message(role="user", contents=["Hello, world!"])
 
     result = client._prepare_message_for_anthropic(message)
 
@@ -491,8 +491,8 @@ def test_prepare_messages_for_anthropic_with_system(
     """Test converting messages list with system message."""
     client = create_test_anthropic_client(mock_anthropic_client)
     messages = [
-        Message(role="system", text="You are a helpful assistant."),
-        Message(role="user", text="Hello!"),
+        Message(role="system", contents=["You are a helpful assistant."]),
+        Message(role="user", contents=["Hello!"]),
     ]
 
     result = client._prepare_messages_for_anthropic(messages)
@@ -509,8 +509,8 @@ def test_prepare_messages_for_anthropic_without_system(
     """Test converting messages list without system message."""
     client = create_test_anthropic_client(mock_anthropic_client)
     messages = [
-        Message(role="user", text="Hello!"),
-        Message(role="assistant", text="Hi there!"),
+        Message(role="user", contents=["Hello!"]),
+        Message(role="assistant", contents=["Hi there!"]),
     ]
 
     result = client._prepare_messages_for_anthropic(messages)
@@ -735,7 +735,7 @@ async def test_prepare_options_basic(mock_anthropic_client: MagicMock) -> None:
     """Test _prepare_options with basic ChatOptions."""
     client = create_test_anthropic_client(mock_anthropic_client)
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     chat_options = ChatOptions(max_tokens=100, temperature=0.7)
 
     run_options = client._prepare_options(messages, chat_options)
@@ -753,8 +753,8 @@ async def test_prepare_options_with_system_message(
     client = create_test_anthropic_client(mock_anthropic_client)
 
     messages = [
-        Message(role="system", text="You are helpful."),
-        Message(role="user", text="Hello"),
+        Message(role="system", contents=["You are helpful."]),
+        Message(role="user", contents=["Hello"]),
     ]
     chat_options = ChatOptions()
 
@@ -807,7 +807,7 @@ async def test_anthropic_shell_tool_is_invoked_in_function_loop(
     ]
 
     await client.get_response(
-        messages=[Message(role="user", text="Run pwd")],
+        messages=[Message(role="user", contents=["Run pwd"])],
         options={"tools": [shell_tool_instance], "max_tokens": 64},
     )
 
@@ -833,7 +833,7 @@ async def test_prepare_options_with_tool_choice_auto(
     """Test _prepare_options with auto tool choice."""
     client = create_test_anthropic_client(mock_anthropic_client)
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     chat_options = ChatOptions(tool_choice="auto", allow_multiple_tool_calls=False)
 
     run_options = client._prepare_options(messages, chat_options)
@@ -849,7 +849,7 @@ async def test_prepare_options_with_tool_choice_required(
     """Test _prepare_options with required tool choice."""
     client = create_test_anthropic_client(mock_anthropic_client)
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     # For required with specific function, need to pass as dict
     chat_options = ChatOptions(tool_choice={"mode": "required", "required_function_name": "get_weather"})
 
@@ -865,7 +865,7 @@ async def test_prepare_options_with_tool_choice_none(
     """Test _prepare_options with none tool choice."""
     client = create_test_anthropic_client(mock_anthropic_client)
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     chat_options = ChatOptions(tool_choice="none")
 
     run_options = client._prepare_options(messages, chat_options)
@@ -882,7 +882,7 @@ async def test_prepare_options_with_tools(mock_anthropic_client: MagicMock) -> N
         """Get weather for a location."""
         return f"Weather for {location}"
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     chat_options = ChatOptions(tools=[get_weather])
 
     run_options = client._prepare_options(messages, chat_options)
@@ -897,7 +897,7 @@ async def test_prepare_options_with_stop_sequences(
     """Test _prepare_options with stop sequences."""
     client = create_test_anthropic_client(mock_anthropic_client)
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     chat_options = ChatOptions(stop=["STOP", "END"])
 
     run_options = client._prepare_options(messages, chat_options)
@@ -909,7 +909,7 @@ async def test_prepare_options_with_top_p(mock_anthropic_client: MagicMock) -> N
     """Test _prepare_options with top_p."""
     client = create_test_anthropic_client(mock_anthropic_client)
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     chat_options = ChatOptions(top_p=0.9)
 
     run_options = client._prepare_options(messages, chat_options)
@@ -923,7 +923,7 @@ async def test_prepare_options_excludes_stream_option(
     """Test _prepare_options excludes stream when stream is provided in options."""
     client = create_test_anthropic_client(mock_anthropic_client)
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     chat_options: dict[str, Any] = {"stream": True, "max_tokens": 100}
 
     run_options = client._prepare_options(messages, chat_options)
@@ -941,7 +941,7 @@ async def test_prepare_options_filters_internal_kwargs(
     """
     client = create_test_anthropic_client(mock_anthropic_client)
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     chat_options: ChatOptions = {}
 
     # Simulate internal kwargs that get passed through the middleware pipeline
@@ -1174,10 +1174,7 @@ def test_parse_contents_server_tool_use_input_json_delta_ignored(
     delta_content.partial_json = '{"query": "latest news"}'
 
     result = client._parse_contents_from_anthropic([delta_content])
-    assert result == [], (
-        "input_json_delta after server_tool_use should produce no content, "
-        "but got: %r" % result
-    )
+    assert result == [], "input_json_delta after server_tool_use should produce no content, but got: %r" % result
 
     # A second delta must also be ignored
     delta_content_2 = MagicMock()
@@ -1186,8 +1183,7 @@ def test_parse_contents_server_tool_use_input_json_delta_ignored(
 
     result = client._parse_contents_from_anthropic([delta_content_2])
     assert result == [], (
-        "subsequent input_json_delta after server_tool_use should also be ignored, "
-        "but got: %r" % result
+        "subsequent input_json_delta after server_tool_use should also be ignored, but got: %r" % result
     )
 
 
@@ -1222,7 +1218,7 @@ async def test_inner_get_response(mock_anthropic_client: MagicMock) -> None:
 
     mock_anthropic_client.beta.messages.create.return_value = mock_message
 
-    messages = [Message(role="user", text="Hi")]
+    messages = [Message(role="user", contents=["Hi"])]
     chat_options = ChatOptions(max_tokens=10)
 
     response = await client._inner_get_response(  # type: ignore[attr-defined]
@@ -1248,7 +1244,7 @@ async def test_inner_get_response_ignores_options_stream_non_streaming(
     mock_message.stop_reason = "end_turn"
     mock_anthropic_client.beta.messages.create.return_value = mock_message
 
-    messages = [Message(role="user", text="Hi")]
+    messages = [Message(role="user", contents=["Hi"])]
     options: dict[str, Any] = {"max_tokens": 10, "stream": True}
 
     await client._inner_get_response(  # type: ignore[attr-defined]
@@ -1272,7 +1268,7 @@ async def test_inner_get_response_streaming(mock_anthropic_client: MagicMock) ->
 
     mock_anthropic_client.beta.messages.create.return_value = mock_stream()
 
-    messages = [Message(role="user", text="Hi")]
+    messages = [Message(role="user", contents=["Hi"])]
     chat_options = ChatOptions(max_tokens=10)
 
     chunks: list[ChatResponseUpdate] = []
@@ -1299,7 +1295,7 @@ async def test_inner_get_response_ignores_options_stream_streaming(
 
     mock_anthropic_client.beta.messages.create.return_value = mock_stream()
 
-    messages = [Message(role="user", text="Hi")]
+    messages = [Message(role="user", contents=["Hi"])]
     options: dict[str, Any] = {"max_tokens": 10, "stream": False}
 
     async for _ in client._inner_get_response(  # type: ignore[attr-defined]
@@ -1453,7 +1449,7 @@ async def test_anthropic_client_integration_basic_chat() -> None:
     """Integration test for basic chat completion."""
     client = AnthropicClient()
 
-    messages = [Message(role="user", text="Say 'Hello, World!' and nothing else.")]
+    messages = [Message(role="user", contents=["Say 'Hello, World!' and nothing else."])]
 
     response = await client.get_response(messages=messages, options={"max_tokens": 50})
 
@@ -1471,7 +1467,7 @@ async def test_anthropic_client_integration_streaming_chat() -> None:
     """Integration test for streaming chat completion."""
     client = AnthropicClient()
 
-    messages = [Message(role="user", text="Count from 1 to 5.")]
+    messages = [Message(role="user", contents=["Count from 1 to 5."])]
 
     chunks = []
     async for chunk in client.get_response(messages=messages, stream=True, options={"max_tokens": 50}):
@@ -1488,7 +1484,7 @@ async def test_anthropic_client_integration_function_calling() -> None:
     """Integration test for function calling."""
     client = AnthropicClient()
 
-    messages = [Message(role="user", text="What's the weather in San Francisco?")]
+    messages = [Message(role="user", contents=["What's the weather in San Francisco?"])]
     tools = [get_weather]
 
     response = await client.get_response(
@@ -1509,7 +1505,7 @@ async def test_anthropic_client_integration_hosted_tools() -> None:
     """Integration test for hosted tools."""
     client = AnthropicClient()
 
-    messages = [Message(role="user", text="What tools do you have available?")]
+    messages = [Message(role="user", contents=["What tools do you have available?"])]
     tools = [
         AnthropicClient.get_web_search_tool(),
         AnthropicClient.get_code_interpreter_tool(),
@@ -1536,8 +1532,8 @@ async def test_anthropic_client_integration_with_system_message() -> None:
     client = AnthropicClient()
 
     messages = [
-        Message(role="system", text="You are a pirate. Always respond like a pirate."),
-        Message(role="user", text="Hello!"),
+        Message(role="system", contents=["You are a pirate. Always respond like a pirate."]),
+        Message(role="user", contents=["Hello!"]),
     ]
 
     response = await client.get_response(messages=messages, options={"max_tokens": 50})
@@ -1553,7 +1549,7 @@ async def test_anthropic_client_integration_temperature_control() -> None:
     """Integration test with temperature control."""
     client = AnthropicClient()
 
-    messages = [Message(role="user", text="Say hello.")]
+    messages = [Message(role="user", contents=["Say hello."])]
 
     response = await client.get_response(
         messages=messages,
@@ -1572,11 +1568,11 @@ async def test_anthropic_client_integration_ordering() -> None:
     client = AnthropicClient()
 
     messages = [
-        Message(role="user", text="Say hello."),
-        Message(role="user", text="Then say goodbye."),
-        Message(role="assistant", text="Thank you for chatting!"),
-        Message(role="assistant", text="Let me know if I can help."),
-        Message(role="user", text="Just testing things."),
+        Message(role="user", contents=["Say hello."]),
+        Message(role="user", contents=["Then say goodbye."]),
+        Message(role="assistant", contents=["Thank you for chatting!"]),
+        Message(role="assistant", contents=["Let me know if I can help."]),
+        Message(role="user", contents=["Just testing things."]),
     ]
 
     response = await client.get_response(messages=messages)
@@ -2685,7 +2681,7 @@ async def test_anthropic_client_integration_tool_rich_content_image() -> None:
     client = AnthropicClient()
     client.function_invocation_configuration["max_iterations"] = 2
 
-    messages = [Message(role="user", text="Call the get_test_image tool and describe what you see.")]
+    messages = [Message(role="user", contents=["Call the get_test_image tool and describe what you see."])]
 
     response = await client.get_response(
         messages=messages,
diff --git a/python/packages/azure-ai-search/agent_framework_azure_ai_search/_context_provider.py b/python/packages/azure-ai-search/agent_framework_azure_ai_search/_context_provider.py
index f27df92a7b..de3c190e66 100644
--- a/python/packages/azure-ai-search/agent_framework_azure_ai_search/_context_provider.py
+++ b/python/packages/azure-ai-search/agent_framework_azure_ai_search/_context_provider.py
@@ -604,7 +604,9 @@ class AzureAISearchContextProvider(ContextProvider):
         if not result_messages:
             return
 
-        context.extend_messages(self.source_id, [Message(role="user", text=self.context_prompt), *result_messages])
+        context.extend_messages(
+            self.source_id, [Message(role="user", contents=[self.context_prompt]), *result_messages]
+        )
 
     def _find_vector_fields(self, index: Any) -> list[str]:
         """Find all fields that can store vectors."""
@@ -719,7 +721,7 @@ class AzureAISearchContextProvider(ContextProvider):
             doc_id = doc.get("id") or doc.get("@search.id")  # type: ignore[reportUnknownVariableType]
             doc_text: str = self._extract_document_text(doc, doc_id=doc_id)  # type: ignore[reportUnknownArgumentType]
             if doc_text:
-                result_messages.append(Message(role="user", text=doc_text))  # type: ignore[reportUnknownArgumentType]
+                result_messages.append(Message(role="user", contents=[doc_text]))  # type: ignore[reportUnknownArgumentType]
         return result_messages
 
     async def _ensure_knowledge_base(self) -> None:
@@ -951,7 +953,7 @@ class AzureAISearchContextProvider(ContextProvider):
             List of Messages, or a single default Message if no results found.
         """
         if not retrieval_result.response:
-            return [Message(role="assistant", text="No results found from Knowledge Base.")]
+            return [Message(role="assistant", contents=["No results found from Knowledge Base."])]
 
         annotations = AzureAISearchContextProvider._parse_references_to_annotations(retrieval_result.references)
 
@@ -972,7 +974,7 @@ class AzureAISearchContextProvider(ContextProvider):
                 result_messages.append(Message(role=kb_msg.role or "assistant", contents=contents))
 
         if not result_messages:
-            return [Message(role="assistant", text="No results found from Knowledge Base.")]
+            return [Message(role="assistant", contents=["No results found from Knowledge Base."])]
         return result_messages
 
     def _extract_document_text(self, doc: dict[str, Any], doc_id: str | None = None) -> str:
diff --git a/python/packages/azure-ai-search/pyproject.toml b/python/packages/azure-ai-search/pyproject.toml
index fc5f1e3b35..d6fe64ba36 100644
--- a/python/packages/azure-ai-search/pyproject.toml
+++ b/python/packages/azure-ai-search/pyproject.toml
@@ -4,7 +4,7 @@ description = "Azure AI Search integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "azure-search-documents>=11.7.0b2,<11.7.0b3",
 ]
 
diff --git a/python/packages/azure-ai-search/tests/test_aisearch_context_provider.py b/python/packages/azure-ai-search/tests/test_aisearch_context_provider.py
index 945c5079f6..64c12e0724 100644
--- a/python/packages/azure-ai-search/tests/test_aisearch_context_provider.py
+++ b/python/packages/azure-ai-search/tests/test_aisearch_context_provider.py
@@ -1370,7 +1370,7 @@ class TestPrepareMessagesForKbSearch:
         assert len(result) == 0
 
     def test_fallback_to_msg_text_when_no_contents(self) -> None:
-        msg = Message(role="user", text="fallback text")
+        msg = Message(role="user", contents=["fallback text"])
         result = AzureAISearchContextProvider._prepare_messages_for_kb_search([msg])
         assert len(result) == 1
         assert result[0].content[0].text == "fallback text"
diff --git a/python/packages/azure-cosmos/pyproject.toml b/python/packages/azure-cosmos/pyproject.toml
index d1bc91d3c1..1dc10cdf4a 100644
--- a/python/packages/azure-cosmos/pyproject.toml
+++ b/python/packages/azure-cosmos/pyproject.toml
@@ -4,7 +4,7 @@ description = "Azure Cosmos DB history provider integration for Microsoft Agent
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "azure-cosmos>=4.3.0,<5",
 ]
 
diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow.py
index a8774353ec..6fbdaf44f7 100644
--- a/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow.py
+++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow.py
@@ -240,11 +240,11 @@ def build_agent_executor_response(
     Returns:
         AgentExecutorResponse with reconstructed conversation
     """
-    final_text = response_text
+    final_text: str = response_text or ""
     if structured_response:
         final_text = json.dumps(structured_response)
 
-    assistant_message = Message(role="assistant", text=final_text)
+    assistant_message = Message(role="assistant", contents=[final_text])
 
     agent_response = AgentResponse(
         messages=[assistant_message],
@@ -255,7 +255,7 @@ def build_agent_executor_response(
     if isinstance(previous_message, AgentExecutorResponse) and previous_message.full_conversation:
         full_conversation.extend(previous_message.full_conversation)
     elif isinstance(previous_message, str):
-        full_conversation.append(Message(role="user", text=previous_message))
+        full_conversation.append(Message(role="user", contents=[previous_message]))
 
     full_conversation.append(assistant_message)
 
diff --git a/python/packages/azurefunctions/pyproject.toml b/python/packages/azurefunctions/pyproject.toml
index 83f48ea169..9d92e51d09 100644
--- a/python/packages/azurefunctions/pyproject.toml
+++ b/python/packages/azurefunctions/pyproject.toml
@@ -4,7 +4,7 @@ description = "Azure Functions integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "agent-framework-durabletask",
     "azure-functions>=1.24.0,<2",
     "azure-functions-durable>=1.3.1,<2",
diff --git a/python/packages/azurefunctions/tests/test_app.py b/python/packages/azurefunctions/tests/test_app.py
index 03084d5ada..61518fa44b 100644
--- a/python/packages/azurefunctions/tests/test_app.py
+++ b/python/packages/azurefunctions/tests/test_app.py
@@ -357,7 +357,7 @@ class TestAgentEntityOperations:
         """Test that entity can run agent operation."""
         mock_agent = Mock()
         mock_agent.run = AsyncMock(
-            return_value=AgentResponse(messages=[Message(role="assistant", text="Test response")])
+            return_value=AgentResponse(messages=[Message(role="assistant", contents=["Test response"])])
         )
 
         entity = AgentEntity(mock_agent, state_provider=_InMemoryStateProvider(thread_id="test-conv-123"))
@@ -374,7 +374,9 @@ class TestAgentEntityOperations:
     async def test_entity_stores_conversation_history(self) -> None:
         """Test that the entity stores conversation history."""
         mock_agent = Mock()
-        mock_agent.run = AsyncMock(return_value=AgentResponse(messages=[Message(role="assistant", text="Response 1")]))
+        mock_agent.run = AsyncMock(
+            return_value=AgentResponse(messages=[Message(role="assistant", contents=["Response 1"])])
+        )
 
         entity = AgentEntity(mock_agent, state_provider=_InMemoryStateProvider(thread_id="conv-1"))
 
@@ -406,7 +408,9 @@ class TestAgentEntityOperations:
     async def test_entity_increments_message_count(self) -> None:
         """Test that the entity increments the message count."""
         mock_agent = Mock()
-        mock_agent.run = AsyncMock(return_value=AgentResponse(messages=[Message(role="assistant", text="Response")]))
+        mock_agent.run = AsyncMock(
+            return_value=AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
+        )
 
         entity = AgentEntity(mock_agent, state_provider=_InMemoryStateProvider(thread_id="conv-1"))
 
@@ -445,7 +449,9 @@ class TestAgentEntityFactory:
     def test_entity_function_handles_run_operation(self) -> None:
         """Test that the entity function handles the run operation."""
         mock_agent = Mock()
-        mock_agent.run = AsyncMock(return_value=AgentResponse(messages=[Message(role="assistant", text="Response")]))
+        mock_agent.run = AsyncMock(
+            return_value=AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
+        )
 
         entity_function = create_agent_entity(mock_agent)
 
@@ -470,7 +476,9 @@ class TestAgentEntityFactory:
     def test_entity_function_handles_run_agent_operation(self) -> None:
         """Test that the entity function handles the deprecated run_agent operation for backward compatibility."""
         mock_agent = Mock()
-        mock_agent.run = AsyncMock(return_value=AgentResponse(messages=[Message(role="assistant", text="Response")]))
+        mock_agent.run = AsyncMock(
+            return_value=AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
+        )
 
         entity_function = create_agent_entity(mock_agent)
 
diff --git a/python/packages/azurefunctions/tests/test_entities.py b/python/packages/azurefunctions/tests/test_entities.py
index a9db60c9dc..bfd17ba176 100644
--- a/python/packages/azurefunctions/tests/test_entities.py
+++ b/python/packages/azurefunctions/tests/test_entities.py
@@ -19,7 +19,9 @@ FuncT = TypeVar("FuncT", bound=Callable[..., Any])
 
 def _agent_response(text: str | None) -> AgentResponse:
     """Create an AgentResponse with a single assistant message."""
-    message = Message(role="assistant", text=text) if text is not None else Message(role="assistant", text="")
+    message = (
+        Message(role="assistant", contents=[text]) if text is not None else Message(role="assistant", contents=[""])
+    )
     return AgentResponse(messages=[message])
 
 
diff --git a/python/packages/azurefunctions/tests/test_func_utils.py b/python/packages/azurefunctions/tests/test_func_utils.py
index 9155bad33e..6110c0f895 100644
--- a/python/packages/azurefunctions/tests/test_func_utils.py
+++ b/python/packages/azurefunctions/tests/test_func_utils.py
@@ -206,7 +206,7 @@ class TestSerializationRoundtrip:
 
     def test_roundtrip_chat_message(self) -> None:
         """Test Message survives encode → decode roundtrip."""
-        original = Message(role="user", text="Hello")
+        original = Message(role="user", contents=["Hello"])
         encoded = serialize_value(original)
         decoded = deserialize_value(encoded)
 
@@ -216,7 +216,7 @@ class TestSerializationRoundtrip:
     def test_roundtrip_agent_executor_request(self) -> None:
         """Test AgentExecutorRequest with nested Messages roundtrips."""
         original = AgentExecutorRequest(
-            messages=[Message(role="user", text="Hi")],
+            messages=[Message(role="user", contents=["Hi"])],
             should_respond=True,
         )
         encoded = serialize_value(original)
@@ -231,8 +231,8 @@ class TestSerializationRoundtrip:
         """Test AgentExecutorResponse with nested AgentResponse roundtrips."""
         original = AgentExecutorResponse(
             executor_id="test_exec",
-            agent_response=AgentResponse(messages=[Message(role="assistant", text="Reply")]),
-            full_conversation=[Message(role="assistant", text="Reply")],
+            agent_response=AgentResponse(messages=[Message(role="assistant", contents=["Reply"])]),
+            full_conversation=[Message(role="assistant", contents=["Reply"])],
         )
         encoded = serialize_value(original)
         decoded = deserialize_value(encoded)
@@ -272,8 +272,8 @@ class TestSerializationRoundtrip:
     def test_roundtrip_list_of_objects(self) -> None:
         """Test list of typed objects roundtrips."""
         original = [
-            Message(role="user", text="Q"),
-            Message(role="assistant", text="A"),
+            Message(role="user", contents=["Q"]),
+            Message(role="assistant", contents=["A"]),
         ]
         encoded = serialize_value(original)
         decoded = deserialize_value(encoded)
@@ -284,7 +284,7 @@ class TestSerializationRoundtrip:
 
     def test_roundtrip_dict_of_objects(self) -> None:
         """Test dict with typed values roundtrips (used for shared state)."""
-        original = {"count": 42, "msg": Message(role="user", text="Hi")}
+        original = {"count": 42, "msg": Message(role="user", contents=["Hi"])}
         encoded = serialize_value(original)
         decoded = deserialize_value(encoded)
 
diff --git a/python/packages/azurefunctions/tests/test_orchestration.py b/python/packages/azurefunctions/tests/test_orchestration.py
index 45e57f0dcf..a4ff77d89f 100644
--- a/python/packages/azurefunctions/tests/test_orchestration.py
+++ b/python/packages/azurefunctions/tests/test_orchestration.py
@@ -155,7 +155,7 @@ class TestAgentResponseHelpers:
 
         # Simulate successful entity task completion
         entity_task.state = TaskState.SUCCEEDED
-        entity_task.result = AgentResponse(messages=[Message(role="assistant", text="Test response")]).to_dict()
+        entity_task.result = AgentResponse(messages=[Message(role="assistant", contents=["Test response"])]).to_dict()
 
         # Clear pending_tasks to simulate that parent has processed the child
         task.pending_tasks.clear()
@@ -197,7 +197,9 @@ class TestAgentResponseHelpers:
 
         # Simulate successful entity task with JSON response
         entity_task.state = TaskState.SUCCEEDED
-        entity_task.result = AgentResponse(messages=[Message(role="assistant", text='{"answer": "42"}')]).to_dict()
+        entity_task.result = AgentResponse(
+            messages=[Message(role="assistant", contents=['{"answer": "42"}'])]
+        ).to_dict()
 
         # Clear pending_tasks to simulate that parent has processed the child
         task.pending_tasks.clear()
diff --git a/python/packages/azurefunctions/tests/test_workflow.py b/python/packages/azurefunctions/tests/test_workflow.py
index baba1c2602..f68af16902 100644
--- a/python/packages/azurefunctions/tests/test_workflow.py
+++ b/python/packages/azurefunctions/tests/test_workflow.py
@@ -177,10 +177,10 @@ class TestBuildAgentExecutorResponse:
         # Create a previous response with conversation history
         previous = AgentExecutorResponse(
             executor_id="prev",
-            agent_response=AgentResponse(messages=[Message(role="assistant", text="Previous")]),
+            agent_response=AgentResponse(messages=[Message(role="assistant", contents=["Previous"])]),
             full_conversation=[
-                Message(role="user", text="First"),
-                Message(role="assistant", text="Previous"),
+                Message(role="user", contents=["First"]),
+                Message(role="assistant", contents=["Previous"]),
             ],
         )
 
@@ -211,8 +211,8 @@ class TestExtractMessageContent:
         """Test extracting from AgentExecutorResponse with text."""
         response = AgentExecutorResponse(
             executor_id="exec",
-            agent_response=AgentResponse(messages=[Message(role="assistant", text="Response text")]),
-            full_conversation=[Message(role="assistant", text="Response text")],
+            agent_response=AgentResponse(messages=[Message(role="assistant", contents=["Response text"])]),
+            full_conversation=[Message(role="assistant", contents=["Response text"])],
         )
 
         result = _extract_message_content(response)
@@ -225,13 +225,13 @@ class TestExtractMessageContent:
             executor_id="exec",
             agent_response=AgentResponse(
                 messages=[
-                    Message(role="user", text="First"),
-                    Message(role="assistant", text="Last message"),
+                    Message(role="user", contents=["First"]),
+                    Message(role="assistant", contents=["Last message"]),
                 ]
             ),
             full_conversation=[
-                Message(role="user", text="First"),
-                Message(role="assistant", text="Last message"),
+                Message(role="user", contents=["First"]),
+                Message(role="assistant", contents=["Last message"]),
             ],
         )
 
@@ -244,8 +244,8 @@ class TestExtractMessageContent:
         """Test extracting from AgentExecutorRequest."""
         request = AgentExecutorRequest(
             messages=[
-                Message(role="user", text="First"),
-                Message(role="user", text="Last request"),
+                Message(role="user", contents=["First"]),
+                Message(role="user", contents=["Last request"]),
             ]
         )
 
diff --git a/python/packages/bedrock/pyproject.toml b/python/packages/bedrock/pyproject.toml
index 1583d44098..ac81bc66d2 100644
--- a/python/packages/bedrock/pyproject.toml
+++ b/python/packages/bedrock/pyproject.toml
@@ -4,7 +4,7 @@ description = "Amazon Bedrock integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "boto3>=1.35.0,<2.0.0",
     "botocore>=1.35.0,<2.0.0",
 ]
diff --git a/python/packages/chatkit/agent_framework_chatkit/_converter.py b/python/packages/chatkit/agent_framework_chatkit/_converter.py
index 5aa953e25a..e92583188c 100644
--- a/python/packages/chatkit/agent_framework_chatkit/_converter.py
+++ b/python/packages/chatkit/agent_framework_chatkit/_converter.py
@@ -102,7 +102,7 @@ class ThreadItemConverter:
 
         # If only text and no attachments, use text parameter for simplicity
         if text_content.strip() and not data_contents:
-            user_message = Message(role="user", text=text_content.strip())
+            user_message = Message(role="user", contents=[text_content.strip()])
         else:
             # Build contents list with both text and attachments
             contents: list[Content] = []
@@ -116,7 +116,7 @@ class ThreadItemConverter:
         if item.quoted_text and is_last_message:
             quoted_context = Message(
                 role="user",
-                text=f"The user is referring to this in particular:\n{item.quoted_text}",
+                contents=[f"The user is referring to this in particular:\n{item.quoted_text}"],
             )
             # Prepend quoted context before the main message
             messages.insert(0, quoted_context)
@@ -211,9 +211,9 @@ class ThreadItemConverter:
                     content="User's email: user@example.com",
                 )
                 message = converter.hidden_context_to_input(hidden_item)
-                # Returns: Message(role=SYSTEM, text="<HIDDEN_CONTEXT>User's email: ...</HIDDEN_CONTEXT>")
+                # Returns: Message(role=SYSTEM, contents=["<HIDDEN_CONTEXT>User's email: ...</HIDDEN_CONTEXT>"])
         """
-        return Message(role="system", text=f"<HIDDEN_CONTEXT>{item.content}</HIDDEN_CONTEXT>")
+        return Message(role="system", contents=[f"<HIDDEN_CONTEXT>{item.content}</HIDDEN_CONTEXT>"])
 
     def tag_to_message_content(self, tag: UserMessageTagContent) -> Content:
         """Convert a ChatKit tag (@-mention) to Agent Framework content.
@@ -292,7 +292,7 @@ class ThreadItemConverter:
             f"A message was displayed to the user that the following task was performed:\n<Task>\n{task_text}\n</Task>"
         )
 
-        return Message(role="user", text=text)
+        return Message(role="user", contents=[text])
 
     def workflow_to_input(self, item: WorkflowItem) -> Message | list[Message] | None:
         """Convert a ChatKit WorkflowItem to Agent Framework Message(s).
@@ -347,7 +347,7 @@ class ThreadItemConverter:
                 f"<Task>\n{task_text}\n</Task>"
             )
 
-            messages.append(Message(role="user", text=text))
+            messages.append(Message(role="user", contents=[text]))
 
         return messages if messages else None
 
@@ -389,7 +389,7 @@ class ThreadItemConverter:
         try:
             widget_json = item.widget.model_dump_json(exclude_unset=True, exclude_none=True)
             text = f"The following graphical UI widget (id: {item.id}) was displayed to the user:{widget_json}"
-            return Message(role="user", text=text)
+            return Message(role="user", contents=[text])
         except Exception:
             # If JSON serialization fails, skip the widget
             return None
@@ -415,7 +415,7 @@ class ThreadItemConverter:
         if not text_parts:
             return None
 
-        return Message(role="assistant", text="".join(text_parts))
+        return Message(role="assistant", contents=["".join(text_parts)])
 
     async def client_tool_call_to_input(self, item: ClientToolCallItem) -> Message | list[Message] | None:
         """Convert a ChatKit ClientToolCallItem to Agent Framework Message(s).
diff --git a/python/packages/chatkit/pyproject.toml b/python/packages/chatkit/pyproject.toml
index 7da827adcb..2cdce32a0d 100644
--- a/python/packages/chatkit/pyproject.toml
+++ b/python/packages/chatkit/pyproject.toml
@@ -4,7 +4,7 @@ description = "OpenAI ChatKit integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "openai-chatkit>=1.4.1,<2.0.0",
 ]
 
diff --git a/python/packages/claude/pyproject.toml b/python/packages/claude/pyproject.toml
index b78e00cf42..7740d553a3 100644
--- a/python/packages/claude/pyproject.toml
+++ b/python/packages/claude/pyproject.toml
@@ -4,7 +4,7 @@ description = "Claude Agent SDK integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "claude-agent-sdk>=0.1.36,<0.1.49",
 ]
 
diff --git a/python/packages/copilotstudio/pyproject.toml b/python/packages/copilotstudio/pyproject.toml
index 7a29537b7e..c9f6ac7b01 100644
--- a/python/packages/copilotstudio/pyproject.toml
+++ b/python/packages/copilotstudio/pyproject.toml
@@ -4,7 +4,7 @@ description = "Copilot Studio integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "microsoft-agents-copilotstudio-client>=0.3.1,<0.3.2",
 ]
 
diff --git a/python/packages/core/AGENTS.md b/python/packages/core/AGENTS.md
index 29fe978aef..d6940289ac 100644
--- a/python/packages/core/AGENTS.md
+++ b/python/packages/core/AGENTS.md
@@ -136,7 +136,7 @@ from agent_framework import BaseChatClient, ChatResponse, Message
 class MyClient(BaseChatClient):
     async def _inner_get_response(self, *, messages, options, **kwargs) -> ChatResponse:
         # Call your LLM here
-        return ChatResponse(messages=[Message(role="assistant", text="Hi!")])
+        return ChatResponse(messages=[Message(role="assistant", contents=["Hi!"])])
 
     async def _inner_get_streaming_response(self, *, messages, options, **kwargs):
         yield ChatResponseUpdate(...)
diff --git a/python/packages/core/README.md b/python/packages/core/README.md
index 86b6f44a72..b4039e6950 100644
--- a/python/packages/core/README.md
+++ b/python/packages/core/README.md
@@ -13,11 +13,11 @@ Highlights
 ## Quick Install
 
 ```bash
-pip install agent-framework-core --pre
+pip install agent-framework-core
 # Optional: Add Azure AI Foundry integration
-pip install agent-framework-foundry --pre
+pip install agent-framework-foundry
 # Optional: Add OpenAI integration
-pip install agent-framework-openai --pre
+pip install agent-framework-openai
 ```
 
 Supported Platforms:
diff --git a/python/packages/core/agent_framework/__init__.py b/python/packages/core/agent_framework/__init__.py
index 7c39e1ffea..497fc1496d 100644
--- a/python/packages/core/agent_framework/__init__.py
+++ b/python/packages/core/agent_framework/__init__.py
@@ -102,8 +102,6 @@ from ._middleware import (
 )
 from ._sessions import (
     AgentSession,
-    BaseContextProvider,  # type: ignore[reportDeprecated]
-    BaseHistoryProvider,  # type: ignore[reportDeprecated]
     ContextProvider,
     HistoryProvider,
     InMemoryHistoryProvider,
@@ -280,9 +278,7 @@ __all__ = [
     "Annotation",
     "BaseAgent",
     "BaseChatClient",
-    "BaseContextProvider",
     "BaseEmbeddingClient",
-    "BaseHistoryProvider",
     "Case",
     "CharacterEstimatorTokenizer",
     "ChatAndFunctionMiddlewareTypes",
diff --git a/python/packages/core/agent_framework/_clients.py b/python/packages/core/agent_framework/_clients.py
index e7a3e41dff..ddd765e654 100644
--- a/python/packages/core/agent_framework/_clients.py
+++ b/python/packages/core/agent_framework/_clients.py
@@ -253,7 +253,8 @@ class BaseChatClient(SerializationMixin, ABC, Generic[OptionsCoT]):
                     else:
                         # Non-streaming implementation
                         return ChatResponse(
-                            messages=[Message(role="assistant", text="Hello!")], response_id="custom-response"
+                            messages=[Message(role="assistant", contents=["Hello!"])],
+                            response_id="custom-response",
                         )
 
 
@@ -261,9 +262,9 @@ class BaseChatClient(SerializationMixin, ABC, Generic[OptionsCoT]):
             client = CustomChatClient()
 
             # Use the client to get responses
-            response = await client.get_response([Message(role="user", text="Hello, how are you?")])
+            response = await client.get_response([Message(role="user", contents=["Hello, how are you?"])])
             # Or stream responses
-            async for update in client.get_response([Message(role="user", text="Hello!")], stream=True):
+            async for update in client.get_response([Message(role="user", contents=["Hello!"])], stream=True):
                 print(update)
     """
 
diff --git a/python/packages/core/agent_framework/_compaction.py b/python/packages/core/agent_framework/_compaction.py
index 06879e3a16..dd76d1f0f4 100644
--- a/python/packages/core/agent_framework/_compaction.py
+++ b/python/packages/core/agent_framework/_compaction.py
@@ -877,7 +877,7 @@ class ToolResultCompactionStrategy:
             insertion_index = starts.get(group_id, 0)
             summary_message = Message(
                 role="assistant",
-                text=summary_text,
+                contents=[summary_text],
                 message_id=summary_id,
                 additional_properties={
                     GROUP_ANNOTATION_KEY: summary_annotation,
@@ -1015,10 +1015,10 @@ class SummarizationStrategy:
         try:
             summary_response: ChatResponse[None] = await self.client.get_response(
                 [
-                    Message(role="system", text=self.prompt),
+                    Message(role="system", contents=[self.prompt]),
                     Message(
                         role="user",
-                        text=_format_messages_for_summary(messages_to_summarize),
+                        contents=[_format_messages_for_summary(messages_to_summarize)],
                     ),
                 ],
                 stream=False,
@@ -1044,7 +1044,7 @@ class SummarizationStrategy:
 
         summary_message = Message(
             role="assistant",
-            text=summary_text,
+            contents=[summary_text],
             message_id=summary_id,
             additional_properties={
                 GROUP_ANNOTATION_KEY: summary_annotation,
diff --git a/python/packages/core/agent_framework/_middleware.py b/python/packages/core/agent_framework/_middleware.py
index eb87ba1946..64467b470e 100644
--- a/python/packages/core/agent_framework/_middleware.py
+++ b/python/packages/core/agent_framework/_middleware.py
@@ -502,7 +502,7 @@ class ChatMiddleware(ABC):
                     # Add system prompt to messages
                     from agent_framework import Message
 
-                    context.messages.insert(0, Message(role="system", text=self.system_prompt))
+                    context.messages.insert(0, Message(role="system", contents=[self.system_prompt]))
 
                     # Continue execution
                     await call_next()
diff --git a/python/packages/core/agent_framework/_serialization.py b/python/packages/core/agent_framework/_serialization.py
index 3313bf04a7..ccd28e7f76 100644
--- a/python/packages/core/agent_framework/_serialization.py
+++ b/python/packages/core/agent_framework/_serialization.py
@@ -40,7 +40,7 @@ class SerializationProtocol(Protocol):
 
 
             # Message implements SerializationProtocol via SerializationMixin
-            user_msg = Message(role="user", text="What's the weather like today?")
+            user_msg = Message(role="user", contents=["What's the weather like today?"])
 
             # Serialize to dictionary - automatic type identification and nested serialization
             msg_dict = user_msg.to_dict()
diff --git a/python/packages/core/agent_framework/_sessions.py b/python/packages/core/agent_framework/_sessions.py
index 11aa2419db..55d1a10a18 100644
--- a/python/packages/core/agent_framework/_sessions.py
+++ b/python/packages/core/agent_framework/_sessions.py
@@ -13,17 +13,11 @@ This module provides the core types for the context provider pipeline:
 from __future__ import annotations
 
 import copy
-import sys
 import uuid
 from abc import abstractmethod
 from collections.abc import Awaitable, Callable, Mapping, Sequence
 from typing import TYPE_CHECKING, Any, ClassVar, TypeGuard, cast
 
-if sys.version_info >= (3, 13):
-    from warnings import deprecated  # type: ignore # pragma: no cover
-else:
-    from typing_extensions import deprecated  # type: ignore # pragma: no cover
-
 from ._middleware import ChatContext, ChatMiddleware
 from ._types import AgentResponse, ChatResponse, Message, ResponseStream
 from .exceptions import ChatClientInvalidResponseException
@@ -698,30 +692,6 @@ class PerServiceCallHistoryPersistingMiddleware(ChatMiddleware):
         )
 
 
-@deprecated(
-    "BaseContextProvider is deprecated. Use ContextProvider instead.",
-    category=DeprecationWarning,
-)
-class BaseContextProvider(ContextProvider):
-    """Deprecated alias for :class:`ContextProvider`.
-
-    .. deprecated::
-        BaseContextProvider is deprecated. Use :class:`ContextProvider` instead.
-    """
-
-
-@deprecated(
-    "BaseHistoryProvider is deprecated. Use HistoryProvider instead.",
-    category=DeprecationWarning,
-)
-class BaseHistoryProvider(HistoryProvider):
-    """Deprecated alias for :class:`HistoryProvider`.
-
-    .. deprecated::
-        BaseHistoryProvider is deprecated. Use :class:`HistoryProvider` instead.
-    """
-
-
 class AgentSession:
     """A conversation session with an agent.
 
diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py
index a7ea6e1676..736474de60 100644
--- a/python/packages/core/agent_framework/_types.py
+++ b/python/packages/core/agent_framework/_types.py
@@ -1669,7 +1669,6 @@ class Message(SerializationMixin):
         role: RoleLiteral | str,
         contents: Sequence[Content | str | Mapping[str, Any]] | None = None,
         *,
-        text: str | None = None,
         author_name: str | None = None,
         message_id: str | None = None,
         additional_properties: MutableMapping[str, Any] | None = None,
@@ -1683,21 +1682,14 @@ class Message(SerializationMixin):
                 to TextContent), or dicts (parsed via Content.from_dict). Defaults to empty list.
 
         Keyword Args:
-            text: Deprecated. Text content of the message. Use contents instead.
-                This parameter is kept for backward compatibility with serialization.
             author_name: Optional name of the author of the message.
             message_id: Optional ID of the chat message.
             additional_properties: Optional additional properties associated with the chat message.
                 Additional properties are used within Agent Framework, they are not sent to services.
             raw_representation: Optional raw representation of the chat message.
         """
-        # Handle contents conversion
         parsed_contents = [] if contents is None else _parse_content_list(contents)
 
-        # Handle text for backward compatibility (from serialization)
-        if text is not None:
-            parsed_contents.append(Content.from_text(text=text))
-
         self.role: str = role
         self.contents = parsed_contents
         self.author_name = author_name
diff --git a/python/packages/core/agent_framework/_workflows/_message_utils.py b/python/packages/core/agent_framework/_workflows/_message_utils.py
index ba69fa340d..011c52af43 100644
--- a/python/packages/core/agent_framework/_workflows/_message_utils.py
+++ b/python/packages/core/agent_framework/_workflows/_message_utils.py
@@ -21,7 +21,7 @@ def normalize_messages_input(
         return []
 
     if isinstance(messages, str):
-        return [Message(role="user", text=messages)]
+        return [Message(role="user", contents=[messages])]
 
     if isinstance(messages, Content):
         return [Message(role="user", contents=[messages])]
@@ -31,9 +31,7 @@ def normalize_messages_input(
 
     normalized: list[Message] = []
     for item in messages:
-        if isinstance(item, str):
-            normalized.append(Message(role="user", text=item))
-        elif isinstance(item, Content):
+        if isinstance(item, (str, Content)):
             normalized.append(Message(role="user", contents=[item]))
         elif isinstance(item, Message):
             normalized.append(item)
diff --git a/python/packages/core/pyproject.toml b/python/packages/core/pyproject.toml
index a9f011435c..e4aa1f5e40 100644
--- a/python/packages/core/pyproject.toml
+++ b/python/packages/core/pyproject.toml
@@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0rc6"
+version = "1.0.0"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -12,7 +12,7 @@ urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=ta
 urls.issues = "https://github.com/microsoft/agent-framework/issues"
 classifiers = [
   "License :: OSI Approved :: MIT License",
-  "Development Status :: 4 - Beta",
+  "Development Status :: 5 - Production/Stable",
   "Intended Audience :: Developers",
   "Programming Language :: Python :: 3",
   "Programming Language :: Python :: 3.10",
diff --git a/python/packages/core/tests/core/conftest.py b/python/packages/core/tests/core/conftest.py
index 37c554c1d8..3841db32c3 100644
--- a/python/packages/core/tests/core/conftest.py
+++ b/python/packages/core/tests/core/conftest.py
@@ -105,7 +105,7 @@ class MockChatClient:
             self.call_count += 1
             if self.responses:
                 return self.responses.pop(0)
-            return ChatResponse(messages=Message(role="assistant", text="test response"))
+            return ChatResponse(messages=Message(role="assistant", contents=["test response"]))
 
         return _get()
 
@@ -186,7 +186,7 @@ class MockBaseChatClient(
         logger.debug(f"Running base chat client inner, with: {messages=}, {options=}, {kwargs=}")
         self.call_count += 1
         if not self.run_responses:
-            return ChatResponse(messages=Message(role="assistant", text=f"test response - {messages[-1].text}"))
+            return ChatResponse(messages=Message(role="assistant", contents=[f"test response - {messages[-1].text}"]))
 
         response = self.run_responses.pop(0)
 
@@ -194,7 +194,7 @@ class MockBaseChatClient(
             return ChatResponse(
                 messages=Message(
                     role="assistant",
-                    text="I broke out of the function invocation loop...",
+                    contents=["I broke out of the function invocation loop..."],
                 ),
                 conversation_id=response.conversation_id,
             )
diff --git a/python/packages/core/tests/core/test_agents.py b/python/packages/core/tests/core/test_agents.py
index 3832a5c441..c7b3d7860c 100644
--- a/python/packages/core/tests/core/test_agents.py
+++ b/python/packages/core/tests/core/test_agents.py
@@ -306,7 +306,7 @@ async def test_chat_client_agent_response_format_dict_from_default_options(
 ) -> None:
     """AgentResponse.value should parse JSON dicts from default_options response_format."""
     json_text = json.dumps({"greeting": "Hello"})
-    client.responses.append(ChatResponse(messages=Message(role="assistant", text=json_text)))  # type: ignore[attr-defined]
+    client.responses.append(ChatResponse(messages=Message(role="assistant", contents=[json_text])))  # type: ignore[attr-defined]
 
     agent = Agent(
         client=client,
@@ -366,13 +366,13 @@ async def test_chat_client_agent_prepare_session_and_messages(
     from agent_framework._sessions import InMemoryHistoryProvider
 
     agent = Agent(client=client, context_providers=[InMemoryHistoryProvider()])
-    message = Message(role="user", text="Hello")
+    message = Message(role="user", contents=["Hello"])
     session = AgentSession()
     session.state[InMemoryHistoryProvider.DEFAULT_SOURCE_ID] = {"messages": [message]}
 
     session_context, _ = await agent._prepare_session_and_messages(  # type: ignore[reportPrivateUsage]
         session=session,
-        input_messages=[Message(role="user", text="Test")],
+        input_messages=[Message(role="user", contents=["Test"])],
     )
     result_messages = session_context.get_messages(include_input=True)
 
@@ -393,7 +393,7 @@ async def test_prepare_session_does_not_mutate_agent_chat_options(
 
     _, prepared_chat_options = await agent._prepare_session_and_messages(  # type: ignore[reportPrivateUsage]
         session=session,
-        input_messages=[Message(role="user", text="Test")],
+        input_messages=[Message(role="user", contents=["Test"])],
     )
 
     assert prepared_chat_options.get("tools") is not None
@@ -444,8 +444,8 @@ async def test_chat_agent_persists_history_per_service_call(
     session = AgentSession()
     session.state[provider.source_id] = {
         "messages": [
-            Message(role="user", text="Earlier question"),
-            Message(role="assistant", text="Earlier answer"),
+            Message(role="user", contents=["Earlier question"]),
+            Message(role="assistant", contents=["Earlier answer"]),
         ]
     }
     chat_client_base.run_responses = [
@@ -462,7 +462,9 @@ async def test_chat_agent_persists_history_per_service_call(
             ),
             response_id="resp_call_1",
         ),
-        ChatResponse(messages=Message(role="assistant", text="It is sunny in Seattle."), response_id="resp_call_2"),
+        ChatResponse(
+            messages=Message(role="assistant", contents=["It is sunny in Seattle."]), response_id="resp_call_2"
+        ),
     ]
 
     agent = Agent(
@@ -498,8 +500,8 @@ async def test_chat_agent_persists_history_per_service_call_streaming(
     session = AgentSession()
     session.state[provider.source_id] = {
         "messages": [
-            Message(role="user", text="Earlier question"),
-            Message(role="assistant", text="Earlier answer"),
+            Message(role="user", contents=["Earlier question"]),
+            Message(role="assistant", contents=["Earlier answer"]),
         ]
     }
     chat_client_base.streaming_responses = [
@@ -634,7 +636,7 @@ async def test_per_service_call_persistence_uses_real_service_storage_when_clien
             response_id="resp_call_1",
         ),
         ChatResponse(
-            messages=Message(role="assistant", text="It is sunny in Seattle."),
+            messages=Message(role="assistant", contents=["It is sunny in Seattle."]),
             conversation_id="resp_service_managed",
             response_id="resp_call_2",
         ),
@@ -777,7 +779,7 @@ async def test_chat_agent_without_per_service_call_persistence_preserves_respons
 ) -> None:
     chat_client_base.run_responses = [
         ChatResponse(
-            messages=Message(role="assistant", text="Hello"),
+            messages=Message(role="assistant", contents=["Hello"]),
             response_id="resp_call_1",
         )
     ]
@@ -801,7 +803,7 @@ async def test_per_service_call_persistence_rejects_real_service_conversation_id
     session.state[provider.source_id] = {"messages": []}
     chat_client_base.run_responses = [
         ChatResponse(
-            messages=Message(role="assistant", text="Hello"),
+            messages=Message(role="assistant", contents=["Hello"]),
             conversation_id="resp_service_managed",
         )
     ]
@@ -1138,7 +1140,7 @@ async def test_chat_agent_context_providers_model_before_run(
     client: SupportsChatGetResponse,
 ) -> None:
     """Test that context providers' before_run is called during agent run."""
-    mock_provider = MockContextProvider(messages=[Message(role="system", text="Test context instructions")])
+    mock_provider = MockContextProvider(messages=[Message(role="system", contents=["Test context instructions"])])
     agent = Agent(client=client, context_providers=[mock_provider])
 
     await agent.run("Hello")
@@ -1185,7 +1187,7 @@ async def test_chat_agent_context_instructions_in_messages(
     client: SupportsChatGetResponse,
 ) -> None:
     """Test that AI context instructions are included in messages."""
-    mock_provider = MockContextProvider(messages=[Message(role="system", text="Context-specific instructions")])
+    mock_provider = MockContextProvider(messages=[Message(role="system", contents=["Context-specific instructions"])])
     agent = Agent(
         client=client,
         instructions="Agent instructions",
@@ -1194,7 +1196,7 @@ async def test_chat_agent_context_instructions_in_messages(
 
     # We need to test the _prepare_session_and_messages method directly
     session_context, _ = await agent._prepare_session_and_messages(  # type: ignore[reportPrivateUsage]
-        session=None, input_messages=[Message(role="user", text="Hello")]
+        session=None, input_messages=[Message(role="user", contents=["Hello"])]
     )
     messages = session_context.get_messages(include_input=True)
 
@@ -1219,7 +1221,7 @@ async def test_chat_agent_no_context_instructions(
     )
 
     session_context, _ = await agent._prepare_session_and_messages(  # type: ignore[reportPrivateUsage]
-        session=None, input_messages=[Message(role="user", text="Hello")]
+        session=None, input_messages=[Message(role="user", contents=["Hello"])]
     )
     messages = session_context.get_messages(include_input=True)
 
@@ -1233,7 +1235,7 @@ async def test_chat_agent_run_stream_context_providers(
     client: SupportsChatGetResponse,
 ) -> None:
     """Test that context providers work with run method."""
-    mock_provider = MockContextProvider(messages=[Message(role="system", text="Stream context instructions")])
+    mock_provider = MockContextProvider(messages=[Message(role="system", contents=["Stream context instructions"])])
     agent = Agent(client=client, context_providers=[mock_provider])
 
     # Collect all stream updates and get final response
@@ -1727,7 +1729,7 @@ async def test_agent_tool_without_context_does_not_receive_session(chat_client_b
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     agent = Agent(client=chat_client_base, tools=[echo_session_info])
@@ -1766,7 +1768,7 @@ async def test_agent_tool_receives_explicit_session_via_function_invocation_cont
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     agent = Agent(client=chat_client_base, tools=[capture_session_context])
@@ -1899,8 +1901,8 @@ async def test_chat_agent_compaction_overrides_client_defaults(chat_client_base:
     )
 
     await agent.run([
-        Message(role="user", text="Hello"),
-        Message(role="assistant", text="Previous response"),
+        Message(role="user", contents=["Hello"]),
+        Message(role="assistant", contents=["Previous response"]),
     ])
 
     assert captured_roles == [["user", "assistant"]]
@@ -1924,8 +1926,8 @@ async def test_chat_agent_uses_client_compaction_defaults_when_agent_unset(chat_
     agent = Agent(client=chat_client_base)
 
     await agent.run([
-        Message(role="user", text="Hello"),
-        Message(role="assistant", text="Previous response"),
+        Message(role="user", contents=["Hello"]),
+        Message(role="assistant", contents=["Previous response"]),
     ])
 
     assert captured_roles == [["assistant"]]
@@ -1957,8 +1959,8 @@ async def test_chat_agent_run_level_compaction_and_tokenizer_override_agent_defa
 
     await agent.run(
         [
-            Message(role="user", text="Hello"),
-            Message(role="assistant", text="Previous response"),
+            Message(role="user", contents=["Hello"]),
+            Message(role="assistant", contents=["Previous response"]),
         ],
         compaction_strategy=TruncationStrategy(max_n=1, compact_to=1),
         tokenizer=_FixedTokenizer(23),
@@ -2352,7 +2354,7 @@ async def test_chat_agent_context_provider_adds_tools_when_agent_has_none(
 
     # Run the agent and verify context tools are added
     _, options = await agent._prepare_session_and_messages(  # type: ignore[reportPrivateUsage]
-        session=None, input_messages=[Message(role="user", text="Hello")]
+        session=None, input_messages=[Message(role="user", contents=["Hello"])]
     )
 
     # The context tools should now be in the options
@@ -2381,7 +2383,7 @@ async def test_chat_agent_context_provider_adds_instructions_when_agent_has_none
 
     # Run the agent and verify context instructions are available
     _, options = await agent._prepare_session_and_messages(  # type: ignore[reportPrivateUsage]
-        session=None, input_messages=[Message(role="user", text="Hello")]
+        session=None, input_messages=[Message(role="user", contents=["Hello"])]
     )
 
     # The context instructions should now be in the options
@@ -2408,7 +2410,7 @@ async def test_chat_agent_context_provider_adds_middleware_when_agent_has_none(
 
     session_context, _ = await agent._prepare_session_and_messages(  # type: ignore[reportPrivateUsage]
         session=None,
-        input_messages=[Message(role="user", text="Hello")],
+        input_messages=[Message(role="user", contents=["Hello"])],
     )
 
     assert session_context.middleware["middleware-context"] == [context_chat_middleware]
diff --git a/python/packages/core/tests/core/test_as_tool_kwargs_propagation.py b/python/packages/core/tests/core/test_as_tool_kwargs_propagation.py
index 8aa71a4582..d8acc8ac1a 100644
--- a/python/packages/core/tests/core/test_as_tool_kwargs_propagation.py
+++ b/python/packages/core/tests/core/test_as_tool_kwargs_propagation.py
@@ -40,7 +40,7 @@ class TestAsToolKwargsPropagation:
 
         # Setup mock response
         client.responses = [
-            ChatResponse(messages=[Message(role="assistant", text="Response from sub-agent")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Response from sub-agent"])]),
         ]
 
         # Create sub-agent with middleware
@@ -82,7 +82,7 @@ class TestAsToolKwargsPropagation:
 
         # Setup mock response
         client.responses = [
-            ChatResponse(messages=[Message(role="assistant", text="Response from sub-agent")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Response from sub-agent"])]),
         ]
 
         sub_agent = Agent(
@@ -133,8 +133,8 @@ class TestAsToolKwargsPropagation:
                     )
                 ]
             ),
-            ChatResponse(messages=[Message(role="assistant", text="Response from agent_c")]),
-            ChatResponse(messages=[Message(role="assistant", text="Response from agent_b")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Response from agent_c"])]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Response from agent_b"])]),
         ]
 
         # Create agent C (bottom level)
@@ -219,7 +219,7 @@ class TestAsToolKwargsPropagation:
         """Test that as_tool works correctly when no extra kwargs are provided."""
         # Setup mock response
         client.responses = [
-            ChatResponse(messages=[Message(role="assistant", text="Response from agent")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Response from agent"])]),
         ]
 
         sub_agent = Agent(
@@ -248,7 +248,7 @@ class TestAsToolKwargsPropagation:
 
         # Setup mock response
         client.responses = [
-            ChatResponse(messages=[Message(role="assistant", text="Response with options")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Response with options"])]),
         ]
 
         sub_agent = Agent(
@@ -295,8 +295,8 @@ class TestAsToolKwargsPropagation:
 
         # Setup mock responses for both calls
         client.responses = [
-            ChatResponse(messages=[Message(role="assistant", text="First response")]),
-            ChatResponse(messages=[Message(role="assistant", text="Second response")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["First response"])]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Second response"])]),
         ]
 
         sub_agent = Agent(
@@ -342,7 +342,7 @@ class TestAsToolKwargsPropagation:
 
         # Setup mock response
         client.responses = [
-            ChatResponse(messages=[Message(role="assistant", text="Response from sub-agent")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Response from sub-agent"])]),
         ]
 
         sub_agent = Agent(
diff --git a/python/packages/core/tests/core/test_clients.py b/python/packages/core/tests/core/test_clients.py
index 9a7e90f5ee..7657993d56 100644
--- a/python/packages/core/tests/core/test_clients.py
+++ b/python/packages/core/tests/core/test_clients.py
@@ -31,13 +31,13 @@ def test_chat_client_type(client: SupportsChatGetResponse):
 
 
 async def test_chat_client_get_response(client: SupportsChatGetResponse):
-    response = await client.get_response([Message(role="user", text="Hello")])
+    response = await client.get_response([Message(role="user", contents=["Hello"])])
     assert response.text == "test response"
     assert response.messages[0].role == "assistant"
 
 
 async def test_chat_client_get_response_streaming(client: SupportsChatGetResponse):
-    async for update in client.get_response([Message(role="user", text="Hello")], stream=True):
+    async for update in client.get_response([Message(role="user", contents=["Hello"])], stream=True):
         assert update.text == "test streaming response " or update.text == "another update"
         assert update.role == "assistant"
 
@@ -62,7 +62,7 @@ async def test_base_client_get_response_uses_explicit_client_kwargs(chat_client_
     async def fake_inner_get_response(**kwargs):
         assert kwargs["trace_id"] == "trace-123"
         assert "function_invocation_kwargs" not in kwargs
-        return ChatResponse(messages=[Message(role="assistant", text="ok")])
+        return ChatResponse(messages=[Message(role="assistant", contents=["ok"])])
 
     with patch.object(
         chat_client_base,
@@ -70,7 +70,7 @@ async def test_base_client_get_response_uses_explicit_client_kwargs(chat_client_
         side_effect=fake_inner_get_response,
     ) as mock_inner_get_response:
         await chat_client_base.get_response(
-            [Message(role="user", text="hello")],
+            [Message(role="user", contents=["hello"])],
             function_invocation_kwargs={"tool_request_id": "tool-123"},
             client_kwargs={"trace_id": "trace-123"},
         )
@@ -78,13 +78,13 @@ async def test_base_client_get_response_uses_explicit_client_kwargs(chat_client_
 
 
 async def test_base_client_get_response(chat_client_base: SupportsChatGetResponse):
-    response = await chat_client_base.get_response([Message(role="user", text="Hello")])
+    response = await chat_client_base.get_response([Message(role="user", contents=["Hello"])])
     assert response.messages[0].role == "assistant"
     assert response.messages[0].text == "test response - Hello"
 
 
 async def test_base_client_get_response_streaming(chat_client_base: SupportsChatGetResponse):
-    async for update in chat_client_base.get_response([Message(role="user", text="Hello")], stream=True):
+    async for update in chat_client_base.get_response([Message(role="user", contents=["Hello"])], stream=True):
         assert update.text == "update - Hello" or update.text == "another update"
 
 
@@ -107,8 +107,8 @@ async def test_base_client_applies_compaction_before_non_streaming_inner_call(
 
     chat_client_base._get_non_streaming_response = _capture  # type: ignore[attr-defined,method-assign]
     await chat_client_base.get_response([
-        Message(role="user", text="Hello"),
-        Message(role="assistant", text="Previous response"),
+        Message(role="user", contents=["Hello"]),
+        Message(role="assistant", contents=["Previous response"]),
     ])
     assert captured_roles == [["assistant"]]
 
@@ -133,8 +133,8 @@ async def test_base_client_applies_compaction_before_streaming_inner_call(
     chat_client_base._get_streaming_response = _capture  # type: ignore[attr-defined,method-assign]
     async for _ in chat_client_base.get_response(
         [
-            Message(role="user", text="Hello"),
-            Message(role="assistant", text="Previous response"),
+            Message(role="user", contents=["Hello"]),
+            Message(role="assistant", contents=["Previous response"]),
         ],
         stream=True,
     ):
@@ -161,8 +161,8 @@ async def test_base_client_per_call_compaction_override_applies_before_inner_cal
     chat_client_base._get_non_streaming_response = _capture  # type: ignore[attr-defined,method-assign]
     await chat_client_base.get_response(
         [
-            Message(role="user", text="Hello"),
-            Message(role="assistant", text="Previous response"),
+            Message(role="user", contents=["Hello"]),
+            Message(role="assistant", contents=["Previous response"]),
         ],
         compaction_strategy=TruncationStrategy(max_n=1, compact_to=1),
     )
@@ -191,8 +191,8 @@ async def test_base_client_per_call_tokenizer_override_annotates_messages(
     chat_client_base._get_non_streaming_response = _capture  # type: ignore[attr-defined,method-assign]
     await chat_client_base.get_response(
         [
-            Message(role="user", text="Hello"),
-            Message(role="assistant", text="Previous response"),
+            Message(role="user", contents=["Hello"]),
+            Message(role="assistant", contents=["Previous response"]),
         ],
         compaction_strategy=SlidingWindowStrategy(keep_last_groups=2),
         tokenizer=_FixedTokenizer(17),
@@ -222,8 +222,8 @@ async def test_base_client_per_call_tokenizer_override_without_strategy_annotate
     chat_client_base._get_non_streaming_response = _capture  # type: ignore[attr-defined,method-assign]
     await chat_client_base.get_response(
         [
-            Message(role="user", text="Hello"),
-            Message(role="assistant", text="Previous response"),
+            Message(role="user", contents=["Hello"]),
+            Message(role="assistant", contents=["Previous response"]),
         ],
         tokenizer=_FixedTokenizer(17),
     )
@@ -252,8 +252,8 @@ async def test_base_client_default_tokenizer_without_strategy_annotates_messages
 
     chat_client_base._get_non_streaming_response = _capture  # type: ignore[attr-defined,method-assign]
     await chat_client_base.get_response([
-        Message(role="user", text="Hello"),
-        Message(role="assistant", text="Previous response"),
+        Message(role="user", contents=["Hello"]),
+        Message(role="assistant", contents=["Previous response"]),
     ])
     assert captured_token_counts == [[19, 19]]
 
@@ -276,7 +276,7 @@ async def test_chat_client_instructions_handling(chat_client_base: SupportsChatG
     instructions = "You are a helpful assistant."
 
     async def fake_inner_get_response(**kwargs):
-        return ChatResponse(messages=[Message(role="assistant", text="ok")])
+        return ChatResponse(messages=[Message(role="assistant", contents=["ok"])])
 
     with patch.object(
         chat_client_base,
@@ -284,7 +284,7 @@ async def test_chat_client_instructions_handling(chat_client_base: SupportsChatG
         side_effect=fake_inner_get_response,
     ) as mock_inner_get_response:
         await chat_client_base.get_response(
-            [Message(role="user", text="hello")], options={"instructions": instructions}
+            [Message(role="user", contents=["hello"])], options={"instructions": instructions}
         )
         mock_inner_get_response.assert_called_once()
         _, kwargs = mock_inner_get_response.call_args
@@ -296,7 +296,7 @@ async def test_chat_client_instructions_handling(chat_client_base: SupportsChatG
         from agent_framework._types import prepend_instructions_to_messages
 
         appended_messages = prepend_instructions_to_messages(
-            [Message(role="user", text="hello")],
+            [Message(role="user", contents=["hello"])],
             instructions,
         )
         assert len(appended_messages) == 2
diff --git a/python/packages/core/tests/core/test_compaction.py b/python/packages/core/tests/core/test_compaction.py
index 0352529ec5..1db3260822 100644
--- a/python/packages/core/tests/core/test_compaction.py
+++ b/python/packages/core/tests/core/test_compaction.py
@@ -105,10 +105,10 @@ def _group_unknown_value(message: Message, key: str) -> Any:
 
 def test_group_annotations_keep_tool_call_and_tool_result_atomic() -> None:
     messages = [
-        Message(role="user", text="hello"),
+        Message(role="user", contents=["hello"]),
         _assistant_function_call("c1"),
         _tool_result("c1", "ok"),
-        Message(role="assistant", text="final"),
+        Message(role="assistant", contents=["final"]),
     ]
 
     annotate_message_groups(messages)
@@ -136,11 +136,11 @@ def test_group_annotations_include_reasoning_in_tool_call_group() -> None:
 
 def test_group_annotations_handle_same_message_reasoning_and_function_calls() -> None:
     messages = [
-        Message(role="user", text="hello"),
+        Message(role="user", contents=["hello"]),
         _assistant_reasoning_and_function_calls("c1", "c2"),
         _tool_result("c1", "ok1"),
         _tool_result("c2", "ok2"),
-        Message(role="assistant", text="final"),
+        Message(role="assistant", contents=["final"]),
     ]
 
     annotate_message_groups(messages)
@@ -155,8 +155,8 @@ def test_group_annotations_handle_same_message_reasoning_and_function_calls() ->
 
 def test_annotate_message_groups_with_tokenizer_adds_token_counts() -> None:
     messages = [
-        Message(role="user", text="hello"),
-        Message(role="assistant", text="world"),
+        Message(role="user", contents=["hello"]),
+        Message(role="assistant", contents=["world"]),
     ]
 
     annotate_message_groups(
@@ -187,9 +187,9 @@ def test_extend_compaction_messages_preserves_existing_annotations_and_tokens()
 
 
 def test_append_compaction_message_annotates_new_message() -> None:
-    messages = [Message(role="user", text="hello")]
+    messages = [Message(role="user", contents=["hello"])]
     annotate_message_groups(messages)
-    append_compaction_message(messages, Message(role="assistant", text="world"))
+    append_compaction_message(messages, Message(role="assistant", contents=["world"]))
 
     assert len(messages) == 2
     assert isinstance(_group_id(messages[1]), str)
@@ -197,11 +197,11 @@ def test_append_compaction_message_annotates_new_message() -> None:
 
 async def test_truncation_strategy_keeps_system_anchor() -> None:
     messages = [
-        Message(role="system", text="you are helpful"),
-        Message(role="user", text="u1"),
-        Message(role="assistant", text="a1"),
-        Message(role="user", text="u2"),
-        Message(role="assistant", text="a2"),
+        Message(role="system", contents=["you are helpful"]),
+        Message(role="user", contents=["u1"]),
+        Message(role="assistant", contents=["a1"]),
+        Message(role="user", contents=["u2"]),
+        Message(role="assistant", contents=["a2"]),
     ]
     strategy = TruncationStrategy(max_n=3, compact_to=3, preserve_system=True)
     annotate_message_groups(messages)
@@ -217,9 +217,9 @@ async def test_truncation_strategy_keeps_system_anchor() -> None:
 async def test_truncation_strategy_compacts_when_token_limit_exceeded() -> None:
     tokenizer = CharacterEstimatorTokenizer()
     messages = [
-        Message(role="system", text="you are helpful"),
-        Message(role="user", text="u1 " * 200),
-        Message(role="assistant", text="a1 " * 200),
+        Message(role="system", contents=["you are helpful"]),
+        Message(role="user", contents=["u1 " * 200]),
+        Message(role="assistant", contents=["a1 " * 200]),
     ]
     strategy = TruncationStrategy(
         max_n=80,
@@ -248,12 +248,12 @@ def test_truncation_strategy_validates_token_targets() -> None:
 
 async def test_selective_tool_call_strategy_excludes_older_tool_groups() -> None:
     messages = [
-        Message(role="user", text="u"),
+        Message(role="user", contents=["u"]),
         _assistant_function_call("call-1"),
         _tool_result("call-1", "r1"),
         _assistant_function_call("call-2"),
         _tool_result("call-2", "r2"),
-        Message(role="assistant", text="done"),
+        Message(role="assistant", contents=["done"]),
     ]
     strategy = SelectiveToolCallCompactionStrategy(keep_last_tool_call_groups=1)
     annotate_message_groups(messages)
@@ -269,10 +269,10 @@ async def test_selective_tool_call_strategy_excludes_older_tool_groups() -> None
 
 async def test_selective_tool_call_strategy_with_zero_removes_assistant_tool_pair() -> None:
     messages = [
-        Message(role="user", text="u"),
+        Message(role="user", contents=["u"]),
         _assistant_function_call("call-1"),
         _tool_result("call-1", "r1"),
-        Message(role="assistant", text="done"),
+        Message(role="assistant", contents=["done"]),
     ]
     strategy = SelectiveToolCallCompactionStrategy(keep_last_tool_call_groups=0)
     annotate_message_groups(messages)
@@ -304,7 +304,7 @@ class _FakeSummarizer:
         options: dict[str, Any] | None = None,
         **kwargs: Any,
     ) -> ChatResponse:
-        return ChatResponse(messages=[Message(role="assistant", text="summarized context")])
+        return ChatResponse(messages=[Message(role="assistant", contents=["summarized context"])])
 
 
 class _FailingSummarizer:
@@ -328,17 +328,17 @@ class _EmptySummarizer:
         options: dict[str, Any] | None = None,
         **kwargs: Any,
     ) -> ChatResponse:
-        return ChatResponse(messages=[Message(role="assistant", text="   ")])
+        return ChatResponse(messages=[Message(role="assistant", contents=["   "])])
 
 
 async def test_summarization_strategy_adds_bidirectional_trace_links() -> None:
     messages = [
-        Message(role="user", text="u1"),
-        Message(role="assistant", text="a1"),
-        Message(role="user", text="u2"),
-        Message(role="assistant", text="a2"),
-        Message(role="user", text="u3"),
-        Message(role="assistant", text="a3"),
+        Message(role="user", contents=["u1"]),
+        Message(role="assistant", contents=["a1"]),
+        Message(role="user", contents=["u2"]),
+        Message(role="assistant", contents=["a2"]),
+        Message(role="user", contents=["u3"]),
+        Message(role="assistant", contents=["a3"]),
     ]
     strategy = SummarizationStrategy(client=_FakeSummarizer(), target_count=2, threshold=0)
     annotate_message_groups(messages)
@@ -366,12 +366,12 @@ async def test_summarization_strategy_returns_false_when_summary_generation_fail
     caplog: Any,
 ) -> None:
     messages = [
-        Message(role="user", text="u1"),
-        Message(role="assistant", text="a1"),
-        Message(role="user", text="u2"),
-        Message(role="assistant", text="a2"),
-        Message(role="user", text="u3"),
-        Message(role="assistant", text="a3"),
+        Message(role="user", contents=["u1"]),
+        Message(role="assistant", contents=["a1"]),
+        Message(role="user", contents=["u2"]),
+        Message(role="assistant", contents=["a2"]),
+        Message(role="user", contents=["u3"]),
+        Message(role="assistant", contents=["a3"]),
     ]
     strategy = SummarizationStrategy(client=_FailingSummarizer(), target_count=2, threshold=0)
     annotate_message_groups(messages)
@@ -388,12 +388,12 @@ async def test_summarization_strategy_returns_false_when_summary_is_empty(
     caplog: Any,
 ) -> None:
     messages = [
-        Message(role="user", text="u1"),
-        Message(role="assistant", text="a1"),
-        Message(role="user", text="u2"),
-        Message(role="assistant", text="a2"),
-        Message(role="user", text="u3"),
-        Message(role="assistant", text="a3"),
+        Message(role="user", contents=["u1"]),
+        Message(role="assistant", contents=["a1"]),
+        Message(role="user", contents=["u2"]),
+        Message(role="assistant", contents=["a2"]),
+        Message(role="user", contents=["u3"]),
+        Message(role="assistant", contents=["a3"]),
     ]
     strategy = SummarizationStrategy(client=_EmptySummarizer(), target_count=2, threshold=0)
     annotate_message_groups(messages)
@@ -408,9 +408,9 @@ async def test_summarization_strategy_returns_false_when_summary_is_empty(
 
 async def test_token_budget_composed_strategy_meets_budget_or_falls_back() -> None:
     messages = [
-        Message(role="system", text="system"),
-        Message(role="user", text="user " * 200),
-        Message(role="assistant", text="assistant " * 200),
+        Message(role="system", contents=["system"]),
+        Message(role="user", contents=["user " * 200]),
+        Message(role="assistant", contents=["assistant " * 200]),
     ]
     strategy = TokenBudgetComposedStrategy(
         token_budget=20,
@@ -445,9 +445,9 @@ class _ExcludeOldestNonSystem:
 
 async def test_apply_compaction_projects_included_messages_only() -> None:
     messages = [
-        Message(role="system", text="sys"),
-        Message(role="user", text="hello"),
-        Message(role="assistant", text="world"),
+        Message(role="system", contents=["sys"]),
+        Message(role="user", contents=["hello"]),
+        Message(role="assistant", contents=["world"]),
     ]
 
     projected = await apply_compaction(messages, strategy=_ExcludeOldestNonSystem())
@@ -462,12 +462,12 @@ async def test_apply_compaction_projects_included_messages_only() -> None:
 async def test_tool_result_compaction_collapses_old_groups_into_summary() -> None:
     """Old tool-call groups are collapsed into summary messages, newest kept."""
     messages = [
-        Message(role="user", text="u"),
+        Message(role="user", contents=["u"]),
         _assistant_function_call("call-1"),
         _tool_result("call-1", "r1"),
         _assistant_function_call("call-2"),
         _tool_result("call-2", "r2"),
-        Message(role="assistant", text="done"),
+        Message(role="assistant", contents=["done"]),
     ]
     strategy = ToolResultCompactionStrategy(keep_last_tool_call_groups=1)
     annotate_message_groups(messages)
@@ -486,12 +486,12 @@ async def test_tool_result_compaction_collapses_old_groups_into_summary() -> Non
 async def test_tool_result_compaction_zero_collapses_all() -> None:
     """With keep=0, all tool-call groups are collapsed into summaries."""
     messages = [
-        Message(role="user", text="u"),
+        Message(role="user", contents=["u"]),
         _assistant_function_call("call-1"),
         _tool_result("call-1", "r1"),
         _assistant_function_call("call-2"),
         _tool_result("call-2", "r2"),
-        Message(role="assistant", text="done"),
+        Message(role="assistant", contents=["done"]),
     ]
     strategy = ToolResultCompactionStrategy(keep_last_tool_call_groups=0)
     annotate_message_groups(messages)
@@ -508,7 +508,7 @@ async def test_tool_result_compaction_zero_collapses_all() -> None:
 async def test_tool_result_compaction_no_change_when_within_limit() -> None:
     """No compaction when tool groups count does not exceed keep limit."""
     messages = [
-        Message(role="user", text="u"),
+        Message(role="user", contents=["u"]),
         _assistant_function_call("call-1"),
         _tool_result("call-1", "r1"),
     ]
@@ -532,7 +532,7 @@ def test_tool_result_compaction_rejects_negative() -> None:
 async def test_tool_result_compaction_preserves_tool_results_in_summary() -> None:
     """Summary text should include the tool results from the collapsed group."""
     messages = [
-        Message(role="user", text="u"),
+        Message(role="user", contents=["u"]),
         Message(
             role="assistant",
             contents=[
@@ -542,7 +542,7 @@ async def test_tool_result_compaction_preserves_tool_results_in_summary() -> Non
         ),
         _tool_result("c1", "sunny"),
         _tool_result("c2", "found 3 docs"),
-        Message(role="assistant", text="done"),
+        Message(role="assistant", contents=["done"]),
     ]
     strategy = ToolResultCompactionStrategy(keep_last_tool_call_groups=0)
     annotate_message_groups(messages)
@@ -559,10 +559,10 @@ async def test_tool_result_compaction_preserves_tool_results_in_summary() -> Non
 async def test_tool_result_compaction_bidirectional_tracing() -> None:
     """Summary and originals should link to each other like SummarizationStrategy does."""
     messages = [
-        Message(role="user", text="u"),
+        Message(role="user", contents=["u"]),
         _assistant_function_call("call-1"),
         _tool_result("call-1", "r1"),
-        Message(role="assistant", text="done"),
+        Message(role="assistant", contents=["done"]),
     ]
     strategy = ToolResultCompactionStrategy(keep_last_tool_call_groups=0)
     annotate_message_groups(messages)
@@ -594,10 +594,10 @@ async def test_tool_result_compaction_bidirectional_tracing() -> None:
 async def test_tool_result_compaction_summary_has_full_annotations() -> None:
     """Summary messages inserted by ToolResultCompactionStrategy must have all compaction annotations."""
     messages = [
-        Message(role="user", text="u"),
+        Message(role="user", contents=["u"]),
         _assistant_function_call("c1"),
         _tool_result("c1", "r1"),
-        Message(role="assistant", text="done"),
+        Message(role="assistant", contents=["done"]),
     ]
     strategy = ToolResultCompactionStrategy(keep_last_tool_call_groups=0)
     annotate_message_groups(messages)
@@ -617,12 +617,12 @@ async def test_tool_result_compaction_summary_has_full_annotations() -> None:
 async def test_summarization_strategy_summary_has_full_annotations() -> None:
     """Summary messages inserted by SummarizationStrategy must have all compaction annotations."""
     messages = [
-        Message(role="user", text="u1"),
-        Message(role="assistant", text="a1"),
-        Message(role="user", text="u2"),
-        Message(role="assistant", text="a2"),
-        Message(role="user", text="u3"),
-        Message(role="assistant", text="a3"),
+        Message(role="user", contents=["u1"]),
+        Message(role="assistant", contents=["a1"]),
+        Message(role="user", contents=["u2"]),
+        Message(role="assistant", contents=["a2"]),
+        Message(role="user", contents=["u3"]),
+        Message(role="assistant", contents=["a3"]),
     ]
     strategy = SummarizationStrategy(client=_FakeSummarizer(), target_count=2, threshold=0)
     annotate_message_groups(messages)
@@ -647,14 +647,14 @@ async def test_tool_result_compaction_multiple_groups_combined() -> None:
     separate summary, group 3 stays verbatim.
     """
     messages = [
-        Message(role="user", text="Compare weather in London, Paris, and Tokyo"),
+        Message(role="user", contents=["Compare weather in London, Paris, and Tokyo"]),
         # Group 1: get_weather for London
         Message(
             role="assistant",
             contents=[Content.from_function_call(call_id="c1", name="get_weather", arguments='{"city":"London"}')],
         ),
         _tool_result("c1", '{"temp":12,"condition":"cloudy","wind":"NW 15km/h"}'),
-        Message(role="assistant", text="London is cloudy at 12°C."),
+        Message(role="assistant", contents=["London is cloudy at 12°C."]),
         # Group 2: get_weather for Paris + search_hotels
         Message(
             role="assistant",
@@ -665,14 +665,14 @@ async def test_tool_result_compaction_multiple_groups_combined() -> None:
         ),
         _tool_result("c2", '{"temp":18,"condition":"sunny"}'),
         _tool_result("c3", "Grand Hotel (€120), Le Petit (€85)"),
-        Message(role="assistant", text="Paris is sunny at 18°C. Found 2 hotels."),
+        Message(role="assistant", contents=["Paris is sunny at 18°C. Found 2 hotels."]),
         # Group 3: get_weather for Tokyo (most recent — should be kept)
         Message(
             role="assistant",
             contents=[Content.from_function_call(call_id="c4", name="get_weather", arguments='{"city":"Tokyo"}')],
         ),
         _tool_result("c4", '{"temp":22,"condition":"rainy"}'),
-        Message(role="assistant", text="Tokyo is rainy at 22°C."),
+        Message(role="assistant", contents=["Tokyo is rainy at 22°C."]),
     ]
     strategy = ToolResultCompactionStrategy(keep_last_tool_call_groups=1)
     annotate_message_groups(messages)
@@ -758,13 +758,13 @@ async def test_compaction_provider_compacts_existing_context_messages() -> None:
 
     context = _MockSessionContext()
     context.context_messages["history"] = [
-        Message(role="system", text="sys"),
-        Message(role="user", text="u1"),
-        Message(role="assistant", text="a1"),
-        Message(role="user", text="u2"),
-        Message(role="assistant", text="a2"),
-        Message(role="user", text="u3"),
-        Message(role="assistant", text="a3"),
+        Message(role="system", contents=["sys"]),
+        Message(role="user", contents=["u1"]),
+        Message(role="assistant", contents=["a1"]),
+        Message(role="user", contents=["u2"]),
+        Message(role="assistant", contents=["a2"]),
+        Message(role="user", contents=["u3"]),
+        Message(role="assistant", contents=["a3"]),
     ]
 
     await provider.before_run(agent=None, session=None, context=context, state={})
@@ -796,13 +796,13 @@ async def test_compaction_provider_preserves_messages_from_multiple_sources() ->
 
     context = _MockSessionContext()
     context.context_messages["history"] = [
-        Message(role="system", text="sys"),
-        Message(role="user", text="old_user"),
-        Message(role="assistant", text="old_assistant"),
+        Message(role="system", contents=["sys"]),
+        Message(role="user", contents=["old_user"]),
+        Message(role="assistant", contents=["old_assistant"]),
     ]
     context.context_messages["rag"] = [
-        Message(role="user", text="recent_rag_context"),
-        Message(role="assistant", text="recent_rag_answer"),
+        Message(role="user", contents=["recent_rag_context"]),
+        Message(role="assistant", contents=["recent_rag_answer"]),
     ]
 
     await provider.before_run(agent=None, session=None, context=context, state={})
@@ -829,11 +829,11 @@ async def test_compaction_provider_after_run_compacts_stored_history() -> None:
     session = _MockSession()
     session.state["in_memory_history"] = {
         "messages": [
-            Message(role="user", text="old question"),
-            Message(role="assistant", text="old answer"),
+            Message(role="user", contents=["old question"]),
+            Message(role="assistant", contents=["old answer"]),
             _assistant_function_call("c1"),
             _tool_result("c1", "result"),
-            Message(role="assistant", text="final answer"),
+            Message(role="assistant", contents=["final answer"]),
         ]
     }
 
@@ -873,11 +873,11 @@ async def test_compaction_provider_both_strategies() -> None:
     # before_run: compact loaded context
     context = _MockSessionContext()
     context.context_messages["history"] = [
-        Message(role="system", text="sys"),
-        Message(role="user", text="u1"),
-        Message(role="assistant", text="a1"),
-        Message(role="user", text="u2"),
-        Message(role="assistant", text="a2"),
+        Message(role="system", contents=["sys"]),
+        Message(role="user", contents=["u1"]),
+        Message(role="assistant", contents=["a1"]),
+        Message(role="user", contents=["u2"]),
+        Message(role="assistant", contents=["a2"]),
     ]
     await provider.before_run(agent=None, session=None, context=context, state={})
     assert len(context.get_messages()) == 3
@@ -886,10 +886,10 @@ async def test_compaction_provider_both_strategies() -> None:
     session = _MockSession()
     session.state["history"] = {
         "messages": [
-            Message(role="user", text="q"),
+            Message(role="user", contents=["q"]),
             _assistant_function_call("c1"),
             _tool_result("c1", "ok"),
-            Message(role="assistant", text="done"),
+            Message(role="assistant", contents=["done"]),
         ]
     }
     await provider.after_run(agent=None, session=session, context=_MockSessionContext(), state={})
@@ -904,8 +904,8 @@ async def test_compaction_provider_none_strategies_are_noop() -> None:
 
     context = _MockSessionContext()
     context.context_messages["history"] = [
-        Message(role="user", text="hello"),
-        Message(role="assistant", text="hi"),
+        Message(role="user", contents=["hello"]),
+        Message(role="assistant", contents=["hi"]),
     ]
 
     await provider.before_run(agent=None, session=None, context=context, state={})
@@ -924,10 +924,10 @@ async def test_in_memory_history_provider_skip_excluded() -> None:
     provider = _InMemoryHistoryProvider(skip_excluded=True)
     state: dict[str, Any] = {
         "messages": [
-            Message(role="user", text="u1"),
-            Message(role="assistant", text="a1", additional_properties={EXCLUDED_KEY: True}),
-            Message(role="user", text="u2"),
-            Message(role="assistant", text="a2"),
+            Message(role="user", contents=["u1"]),
+            Message(role="assistant", contents=["a1"], additional_properties={EXCLUDED_KEY: True}),
+            Message(role="user", contents=["u2"]),
+            Message(role="assistant", contents=["a2"]),
         ]
     }
 
@@ -944,9 +944,9 @@ async def test_in_memory_history_provider_default_loads_all() -> None:
     provider = _InMemoryHistoryProvider()
     state: dict[str, Any] = {
         "messages": [
-            Message(role="user", text="u1"),
-            Message(role="assistant", text="a1", additional_properties={EXCLUDED_KEY: True}),
-            Message(role="user", text="u2"),
+            Message(role="user", contents=["u1"]),
+            Message(role="assistant", contents=["a1"], additional_properties={EXCLUDED_KEY: True}),
+            Message(role="user", contents=["u2"]),
         ]
     }
 
diff --git a/python/packages/core/tests/core/test_function_invocation_logic.py b/python/packages/core/tests/core/test_function_invocation_logic.py
index 96bec7d547..fe9a814572 100644
--- a/python/packages/core/tests/core/test_function_invocation_logic.py
+++ b/python/packages/core/tests/core/test_function_invocation_logic.py
@@ -55,10 +55,10 @@ async def test_base_client_with_function_calling(chat_client_base: SupportsChatG
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [ai_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [ai_func]}
     )
     assert exec_counter == 1
     assert len(response.messages) == 3
@@ -93,7 +93,7 @@ async def test_base_client_with_function_calling_string_input(chat_client_base:
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response = await chat_client_base.get_response("hello", options={"tool_choice": "auto", "tools": [ai_func]})
@@ -132,10 +132,10 @@ async def test_base_client_with_function_calling_resets(chat_client_base: Suppor
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [ai_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [ai_func]}
     )
     assert exec_counter == 2
     assert len(response.messages) == 5
@@ -193,11 +193,11 @@ async def test_function_loop_applies_compaction_projection_each_model_call(chat_
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [ai_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [ai_func]}
     )
 
     assert len(captured_roles) >= 2
@@ -256,11 +256,11 @@ async def test_function_loop_token_budget_strategy_caps_tokens_each_iteration(
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello " * 160)],
+        [Message(role="user", contents=["hello " * 160])],
         options={"tool_choice": "auto", "tools": [ai_func]},
     )
 
@@ -349,13 +349,13 @@ async def test_base_client_executes_function_calls_across_multiple_response_mess
             conversation_id="conv_after_first_call",
         ),
         ChatResponse(
-            messages=Message(role="assistant", text="done"),
+            messages=Message(role="assistant", contents=["done"]),
             conversation_id="conv_after_second_call",
         ),
     ]
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")],
+        [Message(role="user", contents=["hello"])],
         options={"tool_choice": "auto", "tools": [ai_func], "conversation_id": "conv_initial"},
     )
 
@@ -392,7 +392,7 @@ async def test_function_invocation_inside_aiohttp_server(chat_client_base: Suppo
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     agent = Agent(client=chat_client_base, tools=[ai_func])
@@ -449,7 +449,7 @@ async def test_function_invocation_in_threaded_aiohttp_app(chat_client_base: Sup
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     agent = Agent(client=chat_client_base, tools=[ai_func])
@@ -569,7 +569,7 @@ async def test_function_invocation_scenarios(
 
         # Single function call content
         func_call = Content.from_function_call(call_id="1", name=function_name, arguments='{"arg1": "value1"}')
-        completion = Message(role="assistant", text="done")
+        completion = Message(role="assistant", contents=["done"])
 
         chat_client_base.run_responses = [ChatResponse(messages=Message(role="assistant", contents=[func_call]))] + (
             [] if approval_required else [ChatResponse(messages=completion)]
@@ -618,12 +618,12 @@ async def test_function_invocation_scenarios(
         options["conversation_id"] = conversation_id
 
     if not streaming:
-        response = await chat_client_base.get_response([Message(role="user", text="hello")], options=options)
+        response = await chat_client_base.get_response([Message(role="user", contents=["hello"])], options=options)
         messages = response.messages
     else:
         updates = []
         async for update in chat_client_base.get_response(
-            [Message(role="user", text="hello")], options=options, stream=True
+            [Message(role="user", contents=["hello"])], options=options, stream=True
         ):
             updates.append(update)
         messages = updates
@@ -729,7 +729,7 @@ async def test_rejected_approval(chat_client_base: SupportsChatGetResponse):
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Get the response with approval requests
@@ -850,7 +850,7 @@ async def test_persisted_approval_messages_replay_correctly(chat_client_base: Su
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Get approval request
@@ -860,7 +860,7 @@ async def test_persisted_approval_messages_replay_correctly(chat_client_base: Su
 
     # Store messages (like a thread would)
     persisted_messages = [
-        Message(role="user", text="hello"),
+        Message(role="user", contents=["hello"]),
         *response1.messages,
     ]
 
@@ -899,7 +899,7 @@ async def test_no_duplicate_function_calls_after_approval_processing(chat_client
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response1 = await chat_client_base.get_response(
@@ -943,7 +943,7 @@ async def test_rejection_result_uses_function_call_id(chat_client_base: Supports
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response1 = await chat_client_base.get_response(
@@ -1000,14 +1000,14 @@ async def test_max_iterations_limit(chat_client_base: SupportsChatGetResponse):
             )
         ),
         # Failsafe response when tool_choice is set to "none"
-        ChatResponse(messages=Message(role="assistant", text="giving up on tools")),
+        ChatResponse(messages=Message(role="assistant", contents=["giving up on tools"])),
     ]
 
     # Set max_iterations to 1 in additional_properties
     chat_client_base.function_invocation_configuration["max_iterations"] = 1
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [ai_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [ai_func]}
     )
 
     # With max_iterations=1, we should:
@@ -1061,7 +1061,7 @@ async def test_max_iterations_no_orphaned_function_calls(chat_client_base: Suppo
     chat_client_base.function_invocation_configuration["max_iterations"] = 2
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")],
+        [Message(role="user", contents=["hello"])],
         options={"tool_choice": "auto", "tools": [ai_func]},
     )
 
@@ -1111,13 +1111,13 @@ async def test_max_iterations_makes_final_toolchoice_none_call(chat_client_base:
             )
         ),
         # This response should be reached via failsafe (tool_choice="none")
-        ChatResponse(messages=Message(role="assistant", text="Final answer after giving up on tools.")),
+        ChatResponse(messages=Message(role="assistant", contents=["Final answer after giving up on tools."])),
     ]
 
     chat_client_base.function_invocation_configuration["max_iterations"] = 1
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")],
+        [Message(role="user", contents=["hello"])],
         options={"tool_choice": "auto", "tools": [ai_func]},
     )
 
@@ -1170,13 +1170,13 @@ async def test_max_iterations_preserves_all_fcc_messages(chat_client_base: Suppo
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="Done")),
+        ChatResponse(messages=Message(role="assistant", contents=["Done"])),
     ]
 
     chat_client_base.function_invocation_configuration["max_iterations"] = 2
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")],
+        [Message(role="user", contents=["hello"])],
         options={"tool_choice": "auto", "tools": [ai_func]},
     )
 
@@ -1301,14 +1301,14 @@ async def test_max_function_calls_limits_parallel_invocations(chat_client_base:
             )
         ),
         # Final response after tool_choice="none" is forced
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Allow many iterations but cap total function calls at 5
     chat_client_base.function_invocation_configuration["max_function_calls"] = 5
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="search")], options={"tool_choice": "auto", "tools": [search_func]}
+        [Message(role="user", contents=["search"])], options={"tool_choice": "auto", "tools": [search_func]}
     )
 
     # First iteration executes 3 calls (total=3, under limit).
@@ -1355,13 +1355,13 @@ async def test_max_function_calls_single_calls_per_iteration(chat_client_base: S
             )
         ),
         # After limit is reached
-        ChatResponse(messages=Message(role="assistant", text="all done")),
+        ChatResponse(messages=Message(role="assistant", contents=["all done"])),
     ]
 
     chat_client_base.function_invocation_configuration["max_function_calls"] = 2
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="look up keys")], options={"tool_choice": "auto", "tools": [lookup_func]}
+        [Message(role="user", contents=["look up keys"])], options={"tool_choice": "auto", "tools": [lookup_func]}
     )
 
     # 2 single calls executed, then limit reached, tool_choice="none" forced
@@ -1390,13 +1390,13 @@ async def test_max_function_calls_none_means_unlimited(chat_client_base: Support
             )
         )
         for i in range(5)
-    ] + [ChatResponse(messages=Message(role="assistant", text="finished"))]
+    ] + [ChatResponse(messages=Message(role="assistant", contents=["finished"]))]
 
     # Explicitly set to None (default) — should not limit
     chat_client_base.function_invocation_configuration["max_function_calls"] = None
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="do things")], options={"tool_choice": "auto", "tools": [do_thing_func]}
+        [Message(role="user", contents=["do things"])], options={"tool_choice": "auto", "tools": [do_thing_func]}
     )
 
     assert exec_counter == 5
@@ -1414,14 +1414,14 @@ async def test_function_invocation_config_enabled_false(chat_client_base: Suppor
         return f"Processed {arg1}"
 
     chat_client_base.run_responses = [
-        ChatResponse(messages=Message(role="assistant", text="response without function calling")),
+        ChatResponse(messages=Message(role="assistant", contents=["response without function calling"])),
     ]
 
     # Disable function invocation
     chat_client_base.function_invocation_configuration["enabled"] = False
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [ai_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [ai_func]}
     )
 
     # Function should not be executed - when enabled=False, the loop doesn't run
@@ -1447,12 +1447,12 @@ async def test_function_invocation_config_enabled_false_preserves_invocation_kwa
 
     chat_client_base.chat_middleware = [capture_middleware]
     chat_client_base.run_responses = [
-        ChatResponse(messages=Message(role="assistant", text="response without function calling")),
+        ChatResponse(messages=Message(role="assistant", contents=["response without function calling"])),
     ]
     chat_client_base.function_invocation_configuration["enabled"] = False
 
     await chat_client_base.get_response(
-        [Message(role="user", text="hello")],
+        [Message(role="user", contents=["hello"])],
         options={"tool_choice": "auto", "tools": [ai_func]},
         function_invocation_kwargs={"tool_request_id": "tool-123"},
     )
@@ -1502,14 +1502,14 @@ async def test_function_invocation_config_max_consecutive_errors(chat_client_bas
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="final response")),
+        ChatResponse(messages=Message(role="assistant", contents=["final response"])),
     ]
 
     # Set max_consecutive_errors to 2
     chat_client_base.function_invocation_configuration["max_consecutive_errors_per_request"] = 2
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [error_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [error_func]}
     )
 
     # Should stop after 2 consecutive errors and force a non-tool response
@@ -1552,7 +1552,7 @@ async def test_function_invocation_stop_clears_conversation_id_non_stream(chat_c
     session_stub = type("SessionStub", (), {"service_session_id": "resp_seed"})()
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")],
+        [Message(role="user", contents=["hello"])],
         options={"tool_choice": "auto", "tools": [error_func]},
         client_kwargs={"session": session_stub},
     )
@@ -1579,14 +1579,14 @@ async def test_function_invocation_config_terminate_on_unknown_calls_false(chat_
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Set terminate_on_unknown_calls to False (default)
     chat_client_base.function_invocation_configuration["terminate_on_unknown_calls"] = False
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [known_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [known_func]}
     )
 
     # Should have a result message indicating the tool wasn't found
@@ -1624,7 +1624,7 @@ async def test_function_invocation_config_terminate_on_unknown_calls_true(chat_c
     # Should raise an exception when encountering an unknown function
     with pytest.raises(KeyError, match='Error: Requested function "unknown_function" not found'):
         await chat_client_base.get_response(
-            [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [known_func]}
+            [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [known_func]}
         )
 
     assert exec_counter == 0
@@ -1656,7 +1656,7 @@ async def test_function_invocation_config_additional_tools(chat_client_base: Sup
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Add hidden_func to additional_tools
@@ -1664,7 +1664,7 @@ async def test_function_invocation_config_additional_tools(chat_client_base: Sup
 
     # Only pass visible_func in the tools parameter
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [visible_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [visible_func]}
     )
 
     # Additional tools are treated as declaration_only, so not executed
@@ -1697,14 +1697,14 @@ async def test_function_invocation_config_include_detailed_errors_false(chat_cli
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Set include_detailed_errors to False (default)
     chat_client_base.function_invocation_configuration["include_detailed_errors"] = False
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [error_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [error_func]}
     )
 
     # Should have a generic error message
@@ -1733,14 +1733,14 @@ async def test_function_invocation_config_include_detailed_errors_true(chat_clie
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Set include_detailed_errors to True
     chat_client_base.function_invocation_configuration["include_detailed_errors"] = True
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [error_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [error_func]}
     )
 
     # Should have detailed error message
@@ -1832,14 +1832,14 @@ async def test_argument_validation_error_with_detailed_errors(chat_client_base:
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Set include_detailed_errors to True
     chat_client_base.function_invocation_configuration["include_detailed_errors"] = True
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [typed_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [typed_func]}
     )
 
     # Should have detailed validation error
@@ -1868,14 +1868,14 @@ async def test_argument_validation_error_without_detailed_errors(chat_client_bas
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Set include_detailed_errors to False (default)
     chat_client_base.function_invocation_configuration["include_detailed_errors"] = False
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [typed_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [typed_func]}
     )
 
     # Should have generic validation error
@@ -1906,7 +1906,7 @@ async def test_hosted_tool_approval_response(chat_client_base: SupportsChatGetRe
     )
 
     chat_client_base.run_responses = [
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Send the approval response
@@ -1947,13 +1947,13 @@ async def test_hosted_mcp_approval_response_passthrough(chat_client_base: Suppor
 
     # The second call (after approval) should return a final response
     chat_client_base.run_responses = [
-        ChatResponse(messages=Message(role="assistant", text="Here are the docs results.")),
+        ChatResponse(messages=Message(role="assistant", contents=["Here are the docs results."])),
     ]
 
     # Build message list mimicking handle_approvals_without_session:
     # [original query, assistant with approval_request, user with approval_response]
     messages = [
-        Message(role="user", text="Search docs for azure storage"),
+        Message(role="user", contents=["Search docs for azure storage"]),
         Message(role="assistant", contents=[mcp_approval_request]),
         Message(role="user", contents=[mcp_approval_response]),
     ]
@@ -2034,7 +2034,7 @@ async def test_mixed_local_and_hosted_approval_flow(chat_client_base: SupportsCh
     chat_client_base.run_responses = [
         ChatResponse(messages=Message(role="assistant", contents=[local_fc])),
         # After local approval + hosted approval, the final response
-        ChatResponse(messages=Message(role="assistant", text="Done with both tools.")),
+        ChatResponse(messages=Message(role="assistant", contents=["Done with both tools."])),
     ]
 
     # User approves the local function call
@@ -2045,7 +2045,7 @@ async def test_mixed_local_and_hosted_approval_flow(chat_client_base: SupportsCh
     mcp_approval_response = mcp_approval_request.to_function_approval_response(approved=True)
 
     messages = [
-        Message(role="user", text="Search docs and run local"),
+        Message(role="user", contents=["Search docs and run local"]),
         Message(role="assistant", contents=[local_fc, mcp_approval_request]),
         Message(role="user", contents=[local_approval_response]),
         Message(role="user", contents=[mcp_approval_response]),
@@ -2080,12 +2080,12 @@ async def test_unapproved_tool_execution_raises_exception(chat_client_base: Supp
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Get approval request
     response1 = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [test_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [test_func]}
     )
 
     approval_req = [c for c in response1.messages[0].contents if c.type == "function_approval_request"][0]
@@ -2137,7 +2137,7 @@ async def test_approved_function_call_with_error_without_detailed_errors(chat_cl
                 contents=[Content.from_function_call(call_id="1", name="error_func", arguments='{"arg1": "value1"}')],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Set include_detailed_errors to False (default)
@@ -2145,7 +2145,7 @@ async def test_approved_function_call_with_error_without_detailed_errors(chat_cl
 
     # Get approval request
     response1 = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [error_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [error_func]}
     )
 
     approval_req = [c for c in response1.messages[0].contents if c.type == "function_approval_request"][0]
@@ -2202,7 +2202,7 @@ async def test_approved_function_call_with_error_with_detailed_errors(chat_clien
                 contents=[Content.from_function_call(call_id="1", name="error_func", arguments='{"arg1": "value1"}')],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Set include_detailed_errors to True
@@ -2210,7 +2210,7 @@ async def test_approved_function_call_with_error_with_detailed_errors(chat_clien
 
     # Get approval request
     response1 = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [error_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [error_func]}
     )
 
     approval_req = [c for c in response1.messages[0].contents if c.type == "function_approval_request"][0]
@@ -2267,7 +2267,7 @@ async def test_approved_function_call_with_validation_error(chat_client_base: Su
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Set include_detailed_errors to True to see validation details
@@ -2275,7 +2275,7 @@ async def test_approved_function_call_with_validation_error(chat_client_base: Su
 
     # Get approval request
     response1 = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [typed_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [typed_func]}
     )
 
     approval_req = [c for c in response1.messages[0].contents if c.type == "function_approval_request"][0]
@@ -2328,12 +2328,12 @@ async def test_approved_function_call_successful_execution(chat_client_base: Sup
                 contents=[Content.from_function_call(call_id="1", name="success_func", arguments='{"arg1": "value1"}')],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Get approval request
     response1 = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [success_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [success_func]}
     )
 
     approval_req = [c for c in response1.messages[0].contents if c.type == "function_approval_request"][0]
@@ -2391,7 +2391,7 @@ async def test_declaration_only_tool(chat_client_base: SupportsChatGetResponse):
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response = await chat_client_base.get_response(
@@ -2447,11 +2447,11 @@ async def test_multiple_function_calls_parallel_execution(chat_client_base: Supp
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [func1, func2]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [func1, func2]}
     )
 
     # Both functions should have been executed
@@ -2485,12 +2485,12 @@ async def test_callable_function_converted_to_tool(chat_client_base: SupportsCha
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     # Pass plain function (will be auto-converted)
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [plain_function]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [plain_function]}
     )
 
     # Function should be executed
@@ -2518,13 +2518,13 @@ async def test_conversation_id_handling(chat_client_base: SupportsChatGetRespons
             conversation_id="conv_123",  # Simulate service-side thread
         ),
         ChatResponse(
-            messages=Message(role="assistant", text="done"),
+            messages=Message(role="assistant", contents=["done"]),
             conversation_id="conv_123",
         ),
     ]
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [test_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [test_func]}
     )
 
     # Should have executed the function
@@ -2549,11 +2549,11 @@ async def test_function_result_appended_to_existing_assistant_message(chat_clien
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [test_func]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [test_func]}
     )
 
     # Should have messages with both function call and function result
@@ -2596,11 +2596,11 @@ async def test_error_recovery_resets_counter(chat_client_base: SupportsChatGetRe
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [sometimes_fails]}
+        [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [sometimes_fails]}
     )
 
     # Should have both an error and a success
@@ -2912,7 +2912,7 @@ async def test_streaming_function_invocation_config_terminate_on_unknown_calls_t
     # Should raise an exception when encountering an unknown function
     with pytest.raises(KeyError, match='Error: Requested function "unknown_function" not found'):
         async for _ in chat_client_base.get_response(
-            [Message(role="user", text="hello")], options={"tool_choice": "auto", "tools": [known_func]}
+            [Message(role="user", contents=["hello"])], options={"tool_choice": "auto", "tools": [known_func]}
         ):
             pass
 
@@ -3248,7 +3248,7 @@ async def test_terminate_loop_single_function_call(chat_client_base: SupportsCha
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response = await chat_client_base.get_response(
@@ -3314,7 +3314,7 @@ async def test_terminate_loop_multiple_function_calls_one_terminates(chat_client
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="done")),
+        ChatResponse(messages=Message(role="assistant", contents=["done"])),
     ]
 
     response = await chat_client_base.get_response(
@@ -3444,7 +3444,7 @@ async def test_conversation_id_updated_in_options_between_tool_iterations():
             async def _get() -> ChatResponse:
                 self.call_count += 1
                 if not self.run_responses:
-                    return ChatResponse(messages=Message(role="assistant", text="done"))
+                    return ChatResponse(messages=Message(role="assistant", contents=["done"]))
                 return self.run_responses.pop(0)
 
             return _get()
@@ -3491,7 +3491,7 @@ async def test_conversation_id_updated_in_options_between_tool_iterations():
             conversation_id="conv_after_first_call",
         ),
         ChatResponse(
-            messages=Message(role="assistant", text="done"),
+            messages=Message(role="assistant", contents=["done"]),
             conversation_id="conv_after_second_call",
         ),
     ]
@@ -3706,7 +3706,7 @@ async def test_user_input_request_propagates_through_as_tool(chat_client_base: S
     ]
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="delegate this")],
+        [Message(role="user", contents=["delegate this"])],
         options={"tool_choice": "auto", "tools": [delegate_tool]},
     )
 
@@ -3755,7 +3755,7 @@ async def test_user_input_request_multiple_contents_propagate(chat_client_base:
     ]
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="do something")],
+        [Message(role="user", contents=["do something"])],
         options={"tool_choice": "auto", "tools": [multi_request]},
     )
 
@@ -3792,11 +3792,11 @@ async def test_user_input_request_empty_contents_returns_fallback(chat_client_ba
                 ],
             )
         ),
-        ChatResponse(messages=Message(role="assistant", text="handled")),
+        ChatResponse(messages=Message(role="assistant", contents=["handled"])),
     ]
 
     response = await chat_client_base.get_response(
-        [Message(role="user", text="do something")],
+        [Message(role="user", contents=["do something"])],
         options={"tool_choice": "auto", "tools": [empty_request]},
     )
 
diff --git a/python/packages/core/tests/core/test_middleware.py b/python/packages/core/tests/core/test_middleware.py
index 0026cbf98f..ac08199b4a 100644
--- a/python/packages/core/tests/core/test_middleware.py
+++ b/python/packages/core/tests/core/test_middleware.py
@@ -38,7 +38,7 @@ class TestAgentContext:
 
     def test_init_with_defaults(self, mock_agent: SupportsAgentRun) -> None:
         """Test AgentContext initialization with default values."""
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         assert context.agent is mock_agent
@@ -48,7 +48,7 @@ class TestAgentContext:
 
     def test_init_with_custom_values(self, mock_agent: SupportsAgentRun) -> None:
         """Test AgentContext initialization with custom values."""
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         metadata = {"key": "value"}
         context = AgentContext(agent=mock_agent, messages=messages, stream=True, metadata=metadata)
 
@@ -61,7 +61,7 @@ class TestAgentContext:
         """Test AgentContext initialization with session parameter."""
         from agent_framework import AgentSession
 
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         session = AgentSession()
         context = AgentContext(agent=mock_agent, messages=messages, session=session)
 
@@ -100,7 +100,7 @@ class TestChatContext:
 
     def test_init_with_defaults(self, mock_chat_client: Any) -> None:
         """Test ChatContext initialization with default values."""
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
 
@@ -113,7 +113,7 @@ class TestChatContext:
 
     def test_init_with_custom_values(self, mock_chat_client: Any) -> None:
         """Test ChatContext initialization with custom values."""
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {"temperature": 0.5}
         metadata = {"key": "value"}
 
@@ -167,10 +167,10 @@ class TestAgentMiddlewarePipeline:
     async def test_execute_no_middleware(self, mock_agent: SupportsAgentRun) -> None:
         """Test pipeline execution with no middleware."""
         pipeline = AgentMiddlewarePipeline()
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
-        expected_response = AgentResponse(messages=[Message(role="assistant", text="response")])
+        expected_response = AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             return expected_response
@@ -193,10 +193,10 @@ class TestAgentMiddlewarePipeline:
 
         middleware = OrderTrackingMiddleware("test")
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
-        expected_response = AgentResponse(messages=[Message(role="assistant", text="response")])
+        expected_response = AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             execution_order.append("handler")
@@ -209,7 +209,7 @@ class TestAgentMiddlewarePipeline:
     async def test_execute_stream_no_middleware(self, mock_agent: SupportsAgentRun) -> None:
         """Test pipeline streaming execution with no middleware."""
         pipeline = AgentMiddlewarePipeline()
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, stream=True)
 
         async def final_handler(ctx: AgentContext) -> ResponseStream[AgentResponseUpdate, AgentResponse]:
@@ -244,7 +244,7 @@ class TestAgentMiddlewarePipeline:
 
         middleware = StreamOrderTrackingMiddleware("test")
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, stream=True)
 
         async def final_handler(ctx: AgentContext) -> ResponseStream[AgentResponseUpdate, AgentResponse]:
@@ -270,14 +270,14 @@ class TestAgentMiddlewarePipeline:
         """Test pipeline execution with termination before next()."""
         middleware = self.PreNextTerminateMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
         execution_order: list[str] = []
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             # Handler should not be executed when terminated before next()
             execution_order.append("handler")
-            return AgentResponse(messages=[Message(role="assistant", text="response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         response = await pipeline.execute(context, final_handler)
         assert response is None
@@ -288,13 +288,13 @@ class TestAgentMiddlewarePipeline:
         """Test pipeline execution with termination after next()."""
         middleware = self.PostNextTerminateMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
         execution_order: list[str] = []
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             execution_order.append("handler")
-            return AgentResponse(messages=[Message(role="assistant", text="response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         response = await pipeline.execute(context, final_handler)
         assert response is not None
@@ -306,7 +306,7 @@ class TestAgentMiddlewarePipeline:
         """Test pipeline streaming execution with termination before next()."""
         middleware = self.PreNextTerminateMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, stream=True)
         execution_order: list[str] = []
 
@@ -334,7 +334,7 @@ class TestAgentMiddlewarePipeline:
         """Test pipeline streaming execution with termination after next()."""
         middleware = self.PostNextTerminateMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, stream=True)
         execution_order: list[str] = []
 
@@ -371,11 +371,11 @@ class TestAgentMiddlewarePipeline:
 
         middleware = SessionCapturingMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         session = AgentSession()
         context = AgentContext(agent=mock_agent, messages=messages, session=session)
 
-        expected_response = AgentResponse(messages=[Message(role="assistant", text="response")])
+        expected_response = AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             return expected_response
@@ -396,10 +396,10 @@ class TestAgentMiddlewarePipeline:
 
         middleware = SessionCapturingMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, session=None)
 
-        expected_response = AgentResponse(messages=[Message(role="assistant", text="response")])
+        expected_response = AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             return expected_response
@@ -563,11 +563,11 @@ class TestChatMiddlewarePipeline:
     async def test_execute_no_middleware(self, mock_chat_client: Any) -> None:
         """Test pipeline execution with no middleware."""
         pipeline = ChatMiddlewarePipeline()
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
 
-        expected_response = ChatResponse(messages=[Message(role="assistant", text="response")])
+        expected_response = ChatResponse(messages=[Message(role="assistant", contents=["response"])])
 
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             return expected_response
@@ -590,11 +590,11 @@ class TestChatMiddlewarePipeline:
 
         middleware = OrderTrackingChatMiddleware("test")
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
 
-        expected_response = ChatResponse(messages=[Message(role="assistant", text="response")])
+        expected_response = ChatResponse(messages=[Message(role="assistant", contents=["response"])])
 
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             execution_order.append("handler")
@@ -607,7 +607,7 @@ class TestChatMiddlewarePipeline:
     async def test_execute_stream_no_middleware(self, mock_chat_client: Any) -> None:
         """Test pipeline streaming execution with no middleware."""
         pipeline = ChatMiddlewarePipeline()
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options, stream=True)
 
@@ -642,7 +642,7 @@ class TestChatMiddlewarePipeline:
 
         middleware = StreamOrderTrackingChatMiddleware("test")
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options, stream=True)
 
@@ -669,7 +669,7 @@ class TestChatMiddlewarePipeline:
         """Test pipeline execution with termination before next()."""
         middleware = self.PreNextTerminateChatMiddleware()
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
         execution_order: list[str] = []
@@ -677,7 +677,7 @@ class TestChatMiddlewarePipeline:
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             # Handler should not be executed when terminated before next()
             execution_order.append("handler")
-            return ChatResponse(messages=[Message(role="assistant", text="response")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["response"])])
 
         response = await pipeline.execute(context, final_handler)
         assert response is None
@@ -688,14 +688,14 @@ class TestChatMiddlewarePipeline:
         """Test pipeline execution with termination after next()."""
         middleware = self.PostNextTerminateChatMiddleware()
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
         execution_order: list[str] = []
 
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             execution_order.append("handler")
-            return ChatResponse(messages=[Message(role="assistant", text="response")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["response"])])
 
         response = await pipeline.execute(context, final_handler)
         assert response is not None
@@ -707,7 +707,7 @@ class TestChatMiddlewarePipeline:
         """Test pipeline streaming execution with termination before next()."""
         middleware = self.PreNextTerminateChatMiddleware()
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options, stream=True)
         execution_order: list[str] = []
@@ -732,7 +732,7 @@ class TestChatMiddlewarePipeline:
         """Test pipeline streaming execution with termination after next()."""
         middleware = self.PostNextTerminateChatMiddleware()
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options, stream=True)
         execution_order: list[str] = []
@@ -774,12 +774,12 @@ class TestClassBasedMiddleware:
 
         middleware = MetadataAgentMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             metadata_updates.append("handler")
-            return AgentResponse(messages=[Message(role="assistant", text="response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -835,12 +835,12 @@ class TestFunctionBasedMiddleware:
             execution_order.append("function_after")
 
         pipeline = AgentMiddlewarePipeline(test_agent_middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             execution_order.append("handler")
-            return AgentResponse(messages=[Message(role="assistant", text="response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -894,12 +894,12 @@ class TestMixedMiddleware:
             execution_order.append("function_after")
 
         pipeline = AgentMiddlewarePipeline(ClassMiddleware(), function_middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             execution_order.append("handler")
-            return AgentResponse(messages=[Message(role="assistant", text="response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -956,13 +956,13 @@ class TestMixedMiddleware:
             execution_order.append("function_after")
 
         pipeline = ChatMiddlewarePipeline(ClassChatMiddleware(), function_chat_middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
 
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             execution_order.append("handler")
-            return ChatResponse(messages=[Message(role="assistant", text="response")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["response"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -997,12 +997,12 @@ class TestMultipleMiddlewareOrdering:
 
         middleware = [FirstMiddleware(), SecondMiddleware(), ThirdMiddleware()]
         pipeline = AgentMiddlewarePipeline(*middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             execution_order.append("handler")
-            return AgentResponse(messages=[Message(role="assistant", text="response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -1081,13 +1081,13 @@ class TestMultipleMiddlewareOrdering:
 
         middleware = [FirstChatMiddleware(), SecondChatMiddleware(), ThirdChatMiddleware()]
         pipeline = ChatMiddlewarePipeline(*middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
 
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             execution_order.append("handler")
-            return ChatResponse(messages=[Message(role="assistant", text="response")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["response"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -1133,13 +1133,13 @@ class TestContextContentValidation:
 
         middleware = ContextValidationMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             # Verify metadata was set by middleware
             assert ctx.metadata.get("validated") is True
-            return AgentResponse(messages=[Message(role="assistant", text="response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         result = await pipeline.execute(context, final_handler)
         assert result is not None
@@ -1212,14 +1212,14 @@ class TestContextContentValidation:
 
         middleware = ChatContextValidationMiddleware()
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {"temperature": 0.5}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
 
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             # Verify metadata was set by middleware
             assert ctx.metadata.get("validated") is True
-            return ChatResponse(messages=[Message(role="assistant", text="response")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["response"])])
 
         result = await pipeline.execute(context, final_handler)
         assert result is not None
@@ -1239,14 +1239,14 @@ class TestStreamingScenarios:
 
         middleware = StreamingFlagMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
 
         # Test non-streaming
         context = AgentContext(agent=mock_agent, messages=messages)
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             streaming_flags.append(ctx.stream)
-            return AgentResponse(messages=[Message(role="assistant", text="response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
         await pipeline.execute(context, final_handler)
 
@@ -1280,7 +1280,7 @@ class TestStreamingScenarios:
 
         middleware = StreamProcessingMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, stream=True)
 
         async def final_stream_handler(ctx: AgentContext) -> ResponseStream[AgentResponseUpdate, AgentResponse]:
@@ -1320,7 +1320,7 @@ class TestStreamingScenarios:
 
         middleware = ChatStreamingFlagMiddleware()
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
 
         # Test non-streaming
@@ -1328,7 +1328,7 @@ class TestStreamingScenarios:
 
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             streaming_flags.append(ctx.stream)
-            return ChatResponse(messages=[Message(role="assistant", text="response")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["response"])])
 
         await pipeline.execute(context, final_handler)
 
@@ -1362,7 +1362,7 @@ class TestStreamingScenarios:
 
         middleware = ChatStreamProcessingMiddleware()
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options, stream=True)
 
@@ -1442,7 +1442,7 @@ class TestMiddlewareExecutionControl:
 
         middleware = NoNextMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         handler_called = False
@@ -1450,7 +1450,7 @@ class TestMiddlewareExecutionControl:
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             nonlocal handler_called
             handler_called = True
-            return AgentResponse(messages=[Message(role="assistant", text="should not execute")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["should not execute"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -1469,7 +1469,7 @@ class TestMiddlewareExecutionControl:
 
         middleware = NoNextStreamingMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, stream=True)
 
         handler_called = False
@@ -1539,7 +1539,7 @@ class TestMiddlewareExecutionControl:
                 await call_next()
 
         pipeline = AgentMiddlewarePipeline(FirstMiddleware(), SecondMiddleware())
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         handler_called = False
@@ -1547,7 +1547,7 @@ class TestMiddlewareExecutionControl:
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             nonlocal handler_called
             handler_called = True
-            return AgentResponse(messages=[Message(role="assistant", text="should not execute")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["should not execute"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -1566,7 +1566,7 @@ class TestMiddlewareExecutionControl:
 
         middleware = NoNextChatMiddleware()
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
 
@@ -1575,7 +1575,7 @@ class TestMiddlewareExecutionControl:
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             nonlocal handler_called
             handler_called = True
-            return ChatResponse(messages=[Message(role="assistant", text="should not execute")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["should not execute"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -1594,7 +1594,7 @@ class TestMiddlewareExecutionControl:
 
         middleware = NoNextStreamingChatMiddleware()
         pipeline = ChatMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options, stream=True)
 
@@ -1639,7 +1639,7 @@ class TestMiddlewareExecutionControl:
                 await call_next()
 
         pipeline = ChatMiddlewarePipeline(FirstChatMiddleware(), SecondChatMiddleware())
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         chat_options: dict[str, Any] = {}
         context = ChatContext(client=mock_chat_client, messages=messages, options=chat_options)
 
@@ -1648,7 +1648,7 @@ class TestMiddlewareExecutionControl:
         async def final_handler(ctx: ChatContext) -> ChatResponse:
             nonlocal handler_called
             handler_called = True
-            return ChatResponse(messages=[Message(role="assistant", text="should not execute")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["should not execute"])])
 
         result = await pipeline.execute(context, final_handler)
 
diff --git a/python/packages/core/tests/core/test_middleware_context_result.py b/python/packages/core/tests/core/test_middleware_context_result.py
index 6d9eec351b..303feb0344 100644
--- a/python/packages/core/tests/core/test_middleware_context_result.py
+++ b/python/packages/core/tests/core/test_middleware_context_result.py
@@ -39,7 +39,7 @@ class TestResultOverrideMiddleware:
 
     async def test_agent_middleware_response_override_non_streaming(self, mock_agent: SupportsAgentRun) -> None:
         """Test that agent middleware can override response for non-streaming execution."""
-        override_response = AgentResponse(messages=[Message(role="assistant", text="overridden response")])
+        override_response = AgentResponse(messages=[Message(role="assistant", contents=["overridden response"])])
 
         class ResponseOverrideMiddleware(AgentMiddleware):
             async def process(self, context: AgentContext, call_next: Callable[[], Awaitable[None]]) -> None:
@@ -49,7 +49,7 @@ class TestResultOverrideMiddleware:
 
         middleware = ResponseOverrideMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         handler_called = False
@@ -57,7 +57,7 @@ class TestResultOverrideMiddleware:
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             nonlocal handler_called
             handler_called = True
-            return AgentResponse(messages=[Message(role="assistant", text="original response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["original response"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -83,7 +83,7 @@ class TestResultOverrideMiddleware:
 
         middleware = StreamResponseOverrideMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, stream=True)
 
         async def final_handler(ctx: AgentContext) -> ResponseStream[AgentResponseUpdate, AgentResponse]:
@@ -146,7 +146,7 @@ class TestResultOverrideMiddleware:
                 # Then conditionally override based on content
                 if any("special" in msg.text for msg in context.messages if msg.text):
                     context.result = AgentResponse(
-                        messages=[Message(role="assistant", text="Special response from middleware!")]
+                        messages=[Message(role="assistant", contents=["Special response from middleware!"])]
                     )
 
         # Create Agent with override middleware
@@ -154,14 +154,14 @@ class TestResultOverrideMiddleware:
         agent = Agent(client=mock_chat_client, middleware=[middleware])
 
         # Test override case
-        override_messages = [Message(role="user", text="Give me a special response")]
+        override_messages = [Message(role="user", contents=["Give me a special response"])]
         override_response = await agent.run(override_messages)
         assert override_response.messages[0].text == "Special response from middleware!"
         # Verify chat client was called since middleware called next()
         assert mock_chat_client.call_count == 1
 
         # Test normal case
-        normal_messages = [Message(role="user", text="Normal request")]
+        normal_messages = [Message(role="user", contents=["Normal request"])]
         normal_response = await agent.run(normal_messages)
         assert normal_response.messages[0].text == "test response"
         # Verify chat client was called for normal case
@@ -190,7 +190,7 @@ class TestResultOverrideMiddleware:
         agent = Agent(client=mock_chat_client, middleware=[middleware])
 
         # Test streaming override case
-        override_messages = [Message(role="user", text="Give me a custom stream")]
+        override_messages = [Message(role="user", contents=["Give me a custom stream"])]
         override_updates: list[AgentResponseUpdate] = []
         async for update in agent.run(override_messages, stream=True):
             override_updates.append(update)
@@ -201,7 +201,7 @@ class TestResultOverrideMiddleware:
         assert override_updates[2].text == " response!"
 
         # Test normal streaming case
-        normal_messages = [Message(role="user", text="Normal streaming request")]
+        normal_messages = [Message(role="user", contents=["Normal streaming request"])]
         normal_updates: list[AgentResponseUpdate] = []
         async for update in agent.run(normal_messages, stream=True):
             normal_updates.append(update)
@@ -228,10 +228,10 @@ class TestResultOverrideMiddleware:
         async def final_handler(ctx: AgentContext) -> AgentResponse:
             nonlocal handler_called
             handler_called = True
-            return AgentResponse(messages=[Message(role="assistant", text="executed response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["executed response"])])
 
         # Test case where next() is NOT called
-        no_execute_messages = [Message(role="user", text="Don't run this")]
+        no_execute_messages = [Message(role="user", contents=["Don't run this"])]
         no_execute_context = AgentContext(agent=mock_agent, messages=no_execute_messages, stream=False)
         no_execute_result = await pipeline.execute(no_execute_context, final_handler)
 
@@ -243,7 +243,7 @@ class TestResultOverrideMiddleware:
         handler_called = False
 
         # Test case where next() IS called
-        execute_messages = [Message(role="user", text="Please execute this")]
+        execute_messages = [Message(role="user", contents=["Please execute this"])]
         execute_context = AgentContext(agent=mock_agent, messages=execute_messages, stream=False)
         execute_result = await pipeline.execute(execute_context, final_handler)
 
@@ -321,11 +321,11 @@ class TestResultObservability:
 
         middleware = ObservabilityMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, stream=False)
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
-            return AgentResponse(messages=[Message(role="assistant", text="executed response")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["executed response"])])
 
         result = await pipeline.execute(context, final_handler)
 
@@ -384,16 +384,16 @@ class TestResultObservability:
                 if "modify" in context.result.messages[0].text:
                     # Override after observing
                     context.result = AgentResponse(
-                        messages=[Message(role="assistant", text="modified after execution")]
+                        messages=[Message(role="assistant", contents=["modified after execution"])]
                     )
 
         middleware = PostExecutionOverrideMiddleware()
         pipeline = AgentMiddlewarePipeline(middleware)
-        messages = [Message(role="user", text="test")]
+        messages = [Message(role="user", contents=["test"])]
         context = AgentContext(agent=mock_agent, messages=messages, stream=False)
 
         async def final_handler(ctx: AgentContext) -> AgentResponse:
-            return AgentResponse(messages=[Message(role="assistant", text="response to modify")])
+            return AgentResponse(messages=[Message(role="assistant", contents=["response to modify"])])
 
         result = await pipeline.execute(context, final_handler)
 
diff --git a/python/packages/core/tests/core/test_middleware_with_agent.py b/python/packages/core/tests/core/test_middleware_with_agent.py
index 508bdee075..9f56768770 100644
--- a/python/packages/core/tests/core/test_middleware_with_agent.py
+++ b/python/packages/core/tests/core/test_middleware_with_agent.py
@@ -56,7 +56,7 @@ class TestChatAgentClassBasedMiddleware:
         agent = Agent(client=client, middleware=[middleware])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -105,7 +105,7 @@ class TestChatAgentClassBasedMiddleware:
         middleware = TrackingFunctionMiddleware("function_middleware")
         agent = Agent(client=chat_client_base, middleware=[middleware])
 
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         assert response is not None
@@ -135,8 +135,8 @@ class TestChatAgentFunctionBasedMiddleware:
 
         # Execute the agent with multiple messages
         messages = [
-            Message(role="user", text="message1"),
-            Message(role="user", text="message2"),  # This should not be processed due to termination
+            Message(role="user", contents=["message1"]),
+            Message(role="user", contents=["message2"]),  # This should not be processed due to termination
         ]
         response = await agent.run(messages)
 
@@ -163,8 +163,8 @@ class TestChatAgentFunctionBasedMiddleware:
 
         # Execute the agent with multiple messages
         messages = [
-            Message(role="user", text="message1"),
-            Message(role="user", text="message2"),
+            Message(role="user", contents=["message1"]),
+            Message(role="user", contents=["message2"]),
         ]
         response = await agent.run(messages)
 
@@ -229,7 +229,7 @@ class TestChatAgentFunctionBasedMiddleware:
         agent = Agent(client=client, middleware=[tracking_agent_middleware])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -266,7 +266,7 @@ class TestChatAgentFunctionBasedMiddleware:
             execution_order.append("function_function_after")
 
         agent = Agent(client=chat_client_base, middleware=[tracking_function_middleware])
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         assert response is not None
@@ -303,7 +303,7 @@ class TestChatAgentStreamingMiddleware:
         ]
 
         # Execute streaming
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         updates: list[AgentResponseUpdate] = []
         async for update in agent.run(messages, stream=True):
             updates.append(update)
@@ -333,7 +333,7 @@ class TestChatAgentStreamingMiddleware:
         # Create Agent with middleware
         middleware = FlagTrackingMiddleware()
         agent = Agent(client=client, middleware=[middleware])
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
 
         # Test non-streaming execution
         response = await agent.run(messages)
@@ -372,7 +372,7 @@ class TestChatAgentMultipleMiddlewareOrdering:
         agent = Agent(client=client, middleware=[middleware1, middleware2, middleware3])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -424,7 +424,7 @@ class TestChatAgentMultipleMiddlewareOrdering:
                 function_function_middleware,
             ],
         )
-        await agent.run([Message(role="user", text="test")])
+        await agent.run([Message(role="user", contents=["test"])])
 
     async def test_mixed_middleware_types_with_supported_client(self, chat_client_base: "MockBaseChatClient") -> None:
         """Test mixed class and function-based middleware with a full chat client."""
@@ -457,7 +457,7 @@ class TestChatAgentMultipleMiddlewareOrdering:
             ],
         )
 
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         assert response is not None
@@ -488,7 +488,7 @@ class TestChatAgentMultipleMiddlewareOrdering:
             MiddlewareException,
             match="Context providers may only add chat or function middleware",
         ):
-            await agent.run([Message(role="user", text="test message")])
+            await agent.run([Message(role="user", contents=["test message"])])
 
 
 # region Tool Functions for Testing
@@ -547,7 +547,7 @@ class TestChatAgentFunctionMiddlewareWithTools:
                 )
             ]
         )
-        final_response = ChatResponse(messages=[Message(role="assistant", text="Final response")])
+        final_response = ChatResponse(messages=[Message(role="assistant", contents=["Final response"])])
 
         chat_client_base.run_responses = [function_call_response, final_response]
 
@@ -560,7 +560,7 @@ class TestChatAgentFunctionMiddlewareWithTools:
         )
 
         # Execute the agent
-        messages = [Message(role="user", text="Get weather for Seattle")]
+        messages = [Message(role="user", contents=["Get weather for Seattle"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -609,7 +609,7 @@ class TestChatAgentFunctionMiddlewareWithTools:
                 )
             ]
         )
-        final_response = ChatResponse(messages=[Message(role="assistant", text="Final response")])
+        final_response = ChatResponse(messages=[Message(role="assistant", contents=["Final response"])])
 
         chat_client_base.run_responses = [function_call_response, final_response]
 
@@ -621,7 +621,7 @@ class TestChatAgentFunctionMiddlewareWithTools:
         )
 
         # Execute the agent
-        messages = [Message(role="user", text="Get weather for San Francisco")]
+        messages = [Message(role="user", contents=["Get weather for San Francisco"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -683,7 +683,7 @@ class TestChatAgentFunctionMiddlewareWithTools:
                 )
             ]
         )
-        final_response = ChatResponse(messages=[Message(role="assistant", text="Final response")])
+        final_response = ChatResponse(messages=[Message(role="assistant", contents=["Final response"])])
 
         chat_client_base.run_responses = [function_call_response, final_response]
 
@@ -695,7 +695,7 @@ class TestChatAgentFunctionMiddlewareWithTools:
         )
 
         # Execute the agent
-        messages = [Message(role="user", text="Get weather for New York")]
+        messages = [Message(role="user", contents=["Get weather for New York"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -795,7 +795,7 @@ class TestChatAgentFunctionMiddlewareWithTools:
         agent = Agent(client=chat_client_base, middleware=[kwargs_middleware], tools=[sample_tool_function])
 
         # Execute the agent with custom parameters passed as kwargs
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages, options={"additional_function_arguments": {"custom_param": "test_value"}})
 
         # Verify response
@@ -841,14 +841,14 @@ class TestChatAgentFunctionMiddlewareWithTools:
                     )
                 ]
             ),
-            ChatResponse(messages=[Message(role="assistant", text="Done!")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Done!"])]),
         ]
 
         agent = Agent(client=chat_client_base, middleware=[capture_middleware], tools=[sample_tool_function])
 
         session_metadata = {"tenant": "acme-corp", "region": "us-west"}
         await agent.run(
-            [Message(role="user", text="Get weather")],
+            [Message(role="user", contents=["Get weather"])],
             function_invocation_kwargs={
                 "user_id": "user-456",
                 "session_metadata": session_metadata,
@@ -885,13 +885,13 @@ class TestChatAgentFunctionMiddlewareWithTools:
                     )
                 ]
             ),
-            ChatResponse(messages=[Message(role="assistant", text="Done!")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Done!"])]),
         ]
 
         agent = Agent(client=chat_client_base, middleware=[capture_middleware], tools=[sample_tool_function])
 
         await agent.run(
-            [Message(role="user", text="Get weather")],
+            [Message(role="user", contents=["Get weather"])],
             function_invocation_kwargs={
                 "user_id": "from-kwargs",
                 "tenant_id": "from-kwargs",
@@ -940,13 +940,13 @@ class TestChatAgentFunctionMiddlewareWithTools:
                     )
                 ]
             ),
-            ChatResponse(messages=[Message(role="assistant", text="Done!")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Done!"])]),
         ]
 
         agent = Agent(client=chat_client_base, middleware=[capture_middleware], tools=[sample_tool_function])
 
         await agent.run(
-            [Message(role="user", text="Get weather for both cities")],
+            [Message(role="user", contents=["Get weather for both cities"])],
             function_invocation_kwargs={
                 "user_id": "user-456",
                 "request_id": "req-001",
@@ -984,12 +984,12 @@ class TestChatAgentFunctionMiddlewareWithTools:
                     )
                 ]
             ),
-            ChatResponse(messages=[Message(role="assistant", text="Done!")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Done!"])]),
         ]
 
         agent = Agent(client=chat_client_base, middleware=[capture_middleware], tools=[sample_tool_function])
 
-        await agent.run([Message(role="user", text="Get weather")])
+        await agent.run([Message(role="user", contents=["Get weather"])])
 
         # No runtime kwargs should be present
         assert "user_id" not in captured_kwargs
@@ -1355,7 +1355,7 @@ class TestRunLevelMiddleware:
                 )
             ]
         )
-        final_response = ChatResponse(messages=[Message(role="assistant", text="Final response")])
+        final_response = ChatResponse(messages=[Message(role="assistant", contents=["Final response"])])
         chat_client_base.run_responses = [function_call_response, final_response]
 
         # Create agent with agent-level middleware
@@ -1446,7 +1446,7 @@ class TestMiddlewareDecoratorLogic:
                 )
             ]
         )
-        final_response = ChatResponse(messages=[Message(role="assistant", text="Final response")])
+        final_response = ChatResponse(messages=[Message(role="assistant", contents=["Final response"])])
         chat_client_base.responses = [function_call_response, final_response]
 
         # Should work without errors
@@ -1456,7 +1456,7 @@ class TestMiddlewareDecoratorLogic:
             tools=[custom_tool_wrapped],
         )
 
-        response = await agent.run([Message(role="user", text="test")])
+        response = await agent.run([Message(role="user", contents=["test"])])
 
         assert response is not None
         assert "decorator_type_match_agent" in execution_order
@@ -1477,7 +1477,7 @@ class TestMiddlewareDecoratorLogic:
                 await call_next()
 
             agent = Agent(client=client, middleware=[mismatched_middleware])
-            await agent.run([Message(role="user", text="test")])
+            await agent.run([Message(role="user", contents=["test"])])
 
     async def test_only_decorator_specified(self, chat_client_base: "MockBaseChatClient") -> None:
         """Only decorator specified - rely on decorator."""
@@ -1517,7 +1517,7 @@ class TestMiddlewareDecoratorLogic:
                 )
             ]
         )
-        final_response = ChatResponse(messages=[Message(role="assistant", text="Final response")])
+        final_response = ChatResponse(messages=[Message(role="assistant", contents=["Final response"])])
         chat_client_base.responses = [function_call_response, final_response]
 
         # Should work - relies on decorator
@@ -1527,7 +1527,7 @@ class TestMiddlewareDecoratorLogic:
             tools=[custom_tool_wrapped],
         )
 
-        response = await agent.run([Message(role="user", text="test")])
+        response = await agent.run([Message(role="user", contents=["test"])])
 
         assert response is not None
         assert "decorator_only_agent" in execution_order
@@ -1573,7 +1573,7 @@ class TestMiddlewareDecoratorLogic:
                 )
             ]
         )
-        final_response = ChatResponse(messages=[Message(role="assistant", text="Final response")])
+        final_response = ChatResponse(messages=[Message(role="assistant", contents=["Final response"])])
         chat_client_base.responses = [function_call_response, final_response]
 
         # Should work - relies on type annotations
@@ -1581,7 +1581,7 @@ class TestMiddlewareDecoratorLogic:
             client=chat_client_base, middleware=[type_only_agent, type_only_function], tools=[custom_tool_wrapped]
         )
 
-        response = await agent.run([Message(role="user", text="test")])
+        response = await agent.run([Message(role="user", contents=["test"])])
 
         assert response is not None
         assert "type_only_agent" in execution_order
@@ -1596,7 +1596,7 @@ class TestMiddlewareDecoratorLogic:
         # Should raise MiddlewareException
         with pytest.raises(MiddlewareException, match="Cannot determine middleware type"):
             agent = Agent(client=client, middleware=[no_info_middleware])
-            await agent.run([Message(role="user", text="test")])
+            await agent.run([Message(role="user", contents=["test"])])
 
     async def test_insufficient_parameters_error(self, client: Any) -> None:
         """Test that middleware with insufficient parameters raises an error."""
@@ -1610,7 +1610,7 @@ class TestMiddlewareDecoratorLogic:
                 pass
 
             agent = Agent(client=client, middleware=[insufficient_params_middleware])
-            await agent.run([Message(role="user", text="test")])
+            await agent.run([Message(role="user", contents=["test"])])
 
     async def test_decorator_markers_preserved(self) -> None:
         """Test that decorator markers are properly set on functions."""
@@ -1682,7 +1682,7 @@ class TestChatAgentSessionBehavior:
         session = agent.create_session()
 
         # First run
-        first_messages = [Message(role="user", text="first message")]
+        first_messages = [Message(role="user", contents=["first message"])]
         first_response = await agent.run(first_messages, session=session)
 
         # Verify first response
@@ -1690,7 +1690,7 @@ class TestChatAgentSessionBehavior:
         assert len(first_response.messages) > 0
 
         # Second run - use the same thread
-        second_messages = [Message(role="user", text="second message")]
+        second_messages = [Message(role="user", contents=["second message"])]
         second_response = await agent.run(second_messages, session=session)
 
         # Verify second response
@@ -1762,7 +1762,7 @@ class TestChatAgentChatMiddleware:
         agent = Agent(client=client, middleware=[middleware])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -1789,7 +1789,7 @@ class TestChatAgentChatMiddleware:
         agent = Agent(client=client, middleware=[tracking_chat_middleware])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -1813,7 +1813,7 @@ class TestChatAgentChatMiddleware:
                     if msg.role == "system":
                         continue
                     original_text = msg.text or ""
-                    context.messages[idx] = Message(role=msg.role, text=f"MODIFIED: {original_text}")
+                    context.messages[idx] = Message(role=msg.role, contents=[f"MODIFIED: {original_text}"])
                     break
             await call_next()
 
@@ -1822,7 +1822,7 @@ class TestChatAgentChatMiddleware:
         agent = Agent(client=client, middleware=[message_modifier_middleware])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify that the message was modified (MockBaseChatClient echoes back the input)
@@ -1836,7 +1836,7 @@ class TestChatAgentChatMiddleware:
         async def response_override_middleware(context: ChatContext, call_next: Callable[[], Awaitable[None]]) -> None:
             # Override the response without calling next()
             context.result = ChatResponse(
-                messages=[Message(role="assistant", text="MiddlewareTypes overridden response")],
+                messages=[Message(role="assistant", contents=["MiddlewareTypes overridden response"])],
                 response_id="middleware-response-123",
             )
             context.terminate = True
@@ -1846,7 +1846,7 @@ class TestChatAgentChatMiddleware:
         agent = Agent(client=client, middleware=[response_override_middleware])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify that the response was overridden
@@ -1876,7 +1876,7 @@ class TestChatAgentChatMiddleware:
         agent = Agent(client=client, middleware=[first_middleware, second_middleware])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -1914,7 +1914,7 @@ class TestChatAgentChatMiddleware:
         ]
 
         # Execute streaming
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         updates: list[AgentResponseUpdate] = []
         async for update in agent.run(messages, stream=True):
             updates.append(update)
@@ -1937,7 +1937,9 @@ class TestChatAgentChatMiddleware:
             async def process(self, context: ChatContext, call_next: Callable[[], Awaitable[None]]) -> None:
                 execution_order.append("middleware_before")
                 # Set a custom response since we're terminating
-                context.result = ChatResponse(messages=[Message(role="assistant", text="Terminated by middleware")])
+                context.result = ChatResponse(
+                    messages=[Message(role="assistant", contents=["Terminated by middleware"])]
+                )
                 raise MiddlewareTermination
                 # We call next() but since terminate=True, execution should stop
                 await call_next()
@@ -1948,7 +1950,7 @@ class TestChatAgentChatMiddleware:
         agent = Agent(client=client, middleware=[PreTerminationChatMiddleware()])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response was from middleware
@@ -1973,7 +1975,7 @@ class TestChatAgentChatMiddleware:
         agent = Agent(client=client, middleware=[PostTerminationChatMiddleware()])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response is from actual execution
@@ -2012,7 +2014,7 @@ class TestChatAgentChatMiddleware:
             middleware=[chat_middleware, function_middleware, agent_middleware],
             tools=[sample_tool_function],
         )
-        await agent.run([Message(role="user", text="test")])
+        await agent.run([Message(role="user", contents=["test"])])
 
         assert execution_order == [
             "agent_middleware_before",
@@ -2041,7 +2043,7 @@ class TestChatAgentChatMiddleware:
                     )
                 ]
             ),
-            ChatResponse(messages=[Message(role="assistant", text="Final response")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Final response"])]),
         ]
 
         async def tracking_agent_middleware(
@@ -2076,7 +2078,7 @@ class TestChatAgentChatMiddleware:
             tools=[sample_tool_function],
         )
 
-        response = await agent.run([Message(role="user", text="test")])
+        response = await agent.run([Message(role="user", contents=["test"])])
 
         assert response is not None
         assert client.call_count == 2
@@ -2168,7 +2170,7 @@ class TestChatAgentChatMiddleware:
                     )
                 ]
             ),
-            ChatResponse(messages=[Message(role="assistant", text="Final response")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Final response"])]),
         ]
 
         agent = Agent(
@@ -2179,7 +2181,7 @@ class TestChatAgentChatMiddleware:
         )
 
         response = await agent.run(
-            [Message(role="user", text="Get weather for Seattle")],
+            [Message(role="user", contents=["Get weather for Seattle"])],
             middleware=[run_chat_middleware, run_function_middleware],
         )
 
@@ -2230,7 +2232,7 @@ class TestChatAgentChatMiddleware:
         agent = Agent(client=client, middleware=[kwargs_middleware])
 
         # Execute the agent with runtime options
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(
             messages,
             options={"temperature": 0.7, "max_tokens": 100, "custom_param": "test_value"},
@@ -2288,7 +2290,7 @@ class TestChatAgentChatMiddleware:
 #                     yield AgentResponseUpdate()
 
 #                 return _stream()
-#             return AgentResponse(messages=[Message(role="assistant", text="response")])
+#             return AgentResponse(messages=[Message(role="assistant", contents=["response"])])
 
 #         def get_new_thread(self, **kwargs):
 #             return None
diff --git a/python/packages/core/tests/core/test_middleware_with_chat.py b/python/packages/core/tests/core/test_middleware_with_chat.py
index b3393c2248..14243c6578 100644
--- a/python/packages/core/tests/core/test_middleware_with_chat.py
+++ b/python/packages/core/tests/core/test_middleware_with_chat.py
@@ -43,7 +43,7 @@ class TestChatMiddleware:
         chat_client_base.chat_middleware = [LoggingChatMiddleware()]
 
         # Execute chat client directly
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await chat_client_base.get_response(messages)
 
         # Verify response
@@ -68,7 +68,7 @@ class TestChatMiddleware:
         chat_client_base.chat_middleware = [logging_chat_middleware]
 
         # Execute chat client directly
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await chat_client_base.get_response(messages)
 
         # Verify response
@@ -87,14 +87,14 @@ class TestChatMiddleware:
             # Modify the first message by adding a prefix
             if context.messages and len(context.messages) > 0:
                 original_text = context.messages[0].text or ""
-                context.messages[0] = Message(role=context.messages[0].role, text=f"MODIFIED: {original_text}")
+                context.messages[0] = Message(role=context.messages[0].role, contents=[f"MODIFIED: {original_text}"])
             await call_next()
 
         # Add middleware to chat client
         chat_client_base.chat_middleware = [message_modifier_middleware]
 
         # Execute chat client
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await chat_client_base.get_response(messages)
 
         # Verify that the message was modified (MockChatClient echoes back the input)
@@ -110,7 +110,7 @@ class TestChatMiddleware:
         async def response_override_middleware(context: ChatContext, call_next: Callable[[], Awaitable[None]]) -> None:
             # Override the response without calling next()
             context.result = ChatResponse(
-                messages=[Message(role="assistant", text="MiddlewareTypes overridden response")],
+                messages=[Message(role="assistant", contents=["MiddlewareTypes overridden response"])],
                 response_id="middleware-response-123",
             )
             context.terminate = True
@@ -119,7 +119,7 @@ class TestChatMiddleware:
         chat_client_base.chat_middleware = [response_override_middleware]
 
         # Execute chat client
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await chat_client_base.get_response(messages)
 
         # Verify that the response was overridden
@@ -148,7 +148,7 @@ class TestChatMiddleware:
         chat_client_base.chat_middleware = [first_middleware, second_middleware]
 
         # Execute chat client
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await chat_client_base.get_response(messages)
 
         # Verify response
@@ -179,7 +179,7 @@ class TestChatMiddleware:
         agent = Agent(client=client, middleware=[agent_level_chat_middleware])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -213,7 +213,7 @@ class TestChatMiddleware:
         agent = Agent(client=chat_client_base, middleware=[first_middleware, second_middleware])
 
         # Execute the agent
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await agent.run(messages)
 
         # Verify response
@@ -252,7 +252,7 @@ class TestChatMiddleware:
         chat_client_base.chat_middleware = [streaming_middleware]
 
         # Execute streaming response
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         updates: list[object] = []
         async for update in chat_client_base.get_response(messages, stream=True):
             updates.append(update)
@@ -274,7 +274,7 @@ class TestChatMiddleware:
             await call_next()
 
         # First call with run-level middleware
-        messages = [Message(role="user", text="first message")]
+        messages = [Message(role="user", contents=["first message"])]
         response1 = await chat_client_base.get_response(
             messages,
             client_kwargs={"middleware": [counting_middleware]},
@@ -283,13 +283,13 @@ class TestChatMiddleware:
         assert execution_count["count"] == 1
 
         # Second call WITHOUT run-level middleware - should not execute the middleware
-        messages = [Message(role="user", text="second message")]
+        messages = [Message(role="user", contents=["second message"])]
         response2 = await chat_client_base.get_response(messages)
         assert response2 is not None
         assert execution_count["count"] == 1  # Should still be 1, not 2
 
         # Third call with run-level middleware again - should execute
-        messages = [Message(role="user", text="third message")]
+        messages = [Message(role="user", contents=["third message"])]
         response3 = await chat_client_base.get_response(
             messages,
             client_kwargs={"middleware": [counting_middleware]},
@@ -310,7 +310,7 @@ class TestChatMiddleware:
 
         async def fake_inner_get_response(**kwargs: Any) -> ChatResponse:
             assert "middleware" not in kwargs
-            return ChatResponse(messages=[Message(role="assistant", text="ok")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["ok"])])
 
         with patch.object(
             chat_client_base,
@@ -318,7 +318,7 @@ class TestChatMiddleware:
             side_effect=fake_inner_get_response,
         ) as mock_inner_get_response:
             response = await chat_client_base.get_response(
-                [Message(role="user", text="hello")],
+                [Message(role="user", contents=["hello"])],
                 client_kwargs={"middleware": [inspecting_middleware], "trace_id": "trace-123"},
             )
 
@@ -350,7 +350,7 @@ class TestChatMiddleware:
         chat_client_base.chat_middleware = [kwargs_middleware]
 
         # Execute chat client with runtime options
-        messages = [Message(role="user", text="test message")]
+        messages = [Message(role="user", contents=["test message"])]
         response = await chat_client_base.get_response(
             messages,
             options={"temperature": 0.7, "max_tokens": 100, "custom_param": "test_value"},
@@ -493,12 +493,12 @@ class TestChatMiddleware:
             ]
         )
         final_response = ChatResponse(
-            messages=[Message(role="assistant", text="Based on the weather data, it's sunny!")]
+            messages=[Message(role="assistant", contents=["Based on the weather data, it's sunny!"])]
         )
 
         client.run_responses = [function_call_response, final_response]
         # Execute the chat client directly with tools - this should trigger function invocation and middleware
-        messages = [Message(role="user", text="What's the weather in San Francisco?")]
+        messages = [Message(role="user", contents=["What's the weather in San Francisco?"])]
         response = await client.get_response(messages, options={"tools": [sample_tool_wrapped]})
 
         # Verify response
@@ -557,7 +557,7 @@ class TestChatMiddleware:
         client.run_responses = [function_call_response]
 
         # Execute the chat client directly with run-level middleware and tools
-        messages = [Message(role="user", text="What's the weather in New York?")]
+        messages = [Message(role="user", contents=["What's the weather in New York?"])]
         response = await client.get_response(
             messages,
             options={"tools": [sample_tool_wrapped]},
@@ -627,11 +627,11 @@ class TestChatMiddleware:
                     )
                 ]
             ),
-            ChatResponse(messages=[Message(role="assistant", text="Based on the weather data, it's sunny!")]),
+            ChatResponse(messages=[Message(role="assistant", contents=["Based on the weather data, it's sunny!"])]),
         ]
 
         response = await client.get_response(
-            [Message(role="user", text="What's the weather in Seattle?")],
+            [Message(role="user", contents=["What's the weather in Seattle?"])],
             options={"tools": [sample_tool_wrapped]},
             client_kwargs={"middleware": [run_level_chat_middleware, run_level_function_middleware]},
         )
@@ -710,7 +710,7 @@ class TestChatMiddleware:
 
         updates: list[ChatResponseUpdate] = []
         async for update in client.get_response(
-            [Message(role="user", text="What's the weather in Seattle?")],
+            [Message(role="user", contents=["What's the weather in Seattle?"])],
             options={"tools": [sample_tool_wrapped]},
             client_kwargs={"middleware": [run_level_chat_middleware, run_level_function_middleware]},
             stream=True,
diff --git a/python/packages/core/tests/core/test_observability.py b/python/packages/core/tests/core/test_observability.py
index 33a844c16e..85091a71df 100644
--- a/python/packages/core/tests/core/test_observability.py
+++ b/python/packages/core/tests/core/test_observability.py
@@ -203,7 +203,7 @@ async def test_chat_client_observability(mock_chat_client, span_exporter: InMemo
     """Test that when diagnostics are enabled, telemetry is applied."""
     client = mock_chat_client()
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     span_exporter.clear()
     response = await client.get_response(messages=messages, options={"model": "Test"})
     assert response is not None
@@ -227,7 +227,7 @@ async def test_chat_client_observability_accepts_model_option(
     """Test that telemetry also captures the modern model option."""
     client = mock_chat_client()
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     span_exporter.clear()
     response = await client.get_response(messages=messages, options={"model": "Test"})
     assert response is not None
@@ -243,7 +243,7 @@ async def test_chat_client_streaming_observability(
 ):
     """Test streaming telemetry through the chat telemetry mixin."""
     client = mock_chat_client()
-    messages = [Message(role="user", text="Test")]
+    messages = [Message(role="user", contents=["Test"])]
     span_exporter.clear()
     # Collect all yielded updates
     updates = []
@@ -274,7 +274,7 @@ async def test_chat_client_observability_with_instructions(
 
     client = mock_chat_client()
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     options = {"model": "Test", "instructions": "You are a helpful assistant."}
     span_exporter.clear()
     response = await client.get_response(messages=messages, options=options)
@@ -303,7 +303,7 @@ async def test_chat_client_streaming_observability_with_instructions(
     import json
 
     client = mock_chat_client()
-    messages = [Message(role="user", text="Test")]
+    messages = [Message(role="user", contents=["Test"])]
     options = {"model": "Test", "instructions": "You are a helpful assistant."}
     span_exporter.clear()
 
@@ -332,7 +332,7 @@ async def test_chat_client_observability_without_instructions(
     """Test that system_instructions attribute is not set when instructions are not provided."""
     client = mock_chat_client()
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     options = {"model": "Test"}  # No instructions
     span_exporter.clear()
     response = await client.get_response(messages=messages, options=options)
@@ -353,7 +353,7 @@ async def test_chat_client_observability_with_empty_instructions(
     """Test that system_instructions attribute is not set when instructions is an empty string."""
     client = mock_chat_client()
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     options = {"model": "Test", "instructions": ""}  # Empty string
     span_exporter.clear()
     response = await client.get_response(messages=messages, options=options)
@@ -376,7 +376,7 @@ async def test_chat_client_observability_with_list_instructions(
 
     client = mock_chat_client()
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     options = {"model": "Test", "instructions": ["Instruction 1", "Instruction 2"]}
     span_exporter.clear()
     response = await client.get_response(messages=messages, options=options)
@@ -397,7 +397,7 @@ async def test_chat_client_observability_with_list_instructions(
 async def test_chat_client_without_model_observability(mock_chat_client, span_exporter: InMemorySpanExporter):
     """Test telemetry shouldn't fail when the model is not provided for unknown reason."""
     client = mock_chat_client()
-    messages = [Message(role="user", text="Test")]
+    messages = [Message(role="user", contents=["Test"])]
     span_exporter.clear()
     response = await client.get_response(messages=messages)
 
@@ -414,7 +414,7 @@ async def test_chat_client_without_model_observability(mock_chat_client, span_ex
 async def test_chat_client_streaming_without_model_observability(mock_chat_client, span_exporter: InMemorySpanExporter):
     """Test streaming telemetry shouldn't fail when the model is not provided for unknown reason."""
     client = mock_chat_client()
-    messages = [Message(role="user", text="Test")]
+    messages = [Message(role="user", contents=["Test"])]
     span_exporter.clear()
     # Collect all yielded updates
     updates = []
@@ -1549,7 +1549,7 @@ async def test_chat_client_observability_exception(mock_chat_client, span_export
             raise ValueError("Test error")
 
     client = FailingChatClient()
-    messages = [Message(role="user", text="Test")]
+    messages = [Message(role="user", contents=["Test"])]
 
     span_exporter.clear()
     with pytest.raises(ValueError, match="Test error"):
@@ -1579,7 +1579,7 @@ async def test_chat_client_streaming_observability_exception(mock_chat_client, s
             return ResponseStream(_stream(), finalizer=ChatResponse.from_updates)
 
     client = FailingStreamingChatClient()
-    messages = [Message(role="user", text="Test")]
+    messages = [Message(role="user", contents=["Test"])]
 
     span_exporter.clear()
     with pytest.raises(ValueError, match="Streaming error"):
@@ -2079,13 +2079,13 @@ async def test_capture_messages_with_finish_reason(mock_chat_client, span_export
     class ClientWithFinishReason(mock_chat_client):
         async def _inner_get_response(self, *, messages, options, **kwargs):
             return ChatResponse(
-                messages=[Message(role="assistant", text="Done")],
+                messages=[Message(role="assistant", contents=["Done"])],
                 usage_details=UsageDetails(input_token_count=5, output_token_count=10),
                 finish_reason="stop",
             )
 
     client = ClientWithFinishReason()
-    messages = [Message(role="user", text="Test")]
+    messages = [Message(role="user", contents=["Test"])]
 
     span_exporter.clear()
     response = await client.get_response(messages=messages, options={"model": "Test"})
@@ -2175,7 +2175,7 @@ async def test_agent_streaming_exception(span_exporter: InMemorySpanExporter, en
 async def test_chat_client_when_disabled(mock_chat_client, span_exporter: InMemorySpanExporter):
     """Test that no spans are created when instrumentation is disabled."""
     client = mock_chat_client()
-    messages = [Message(role="user", text="Test")]
+    messages = [Message(role="user", contents=["Test"])]
 
     span_exporter.clear()
     response = await client.get_response(messages=messages, options={"model": "Test"})
@@ -2190,7 +2190,7 @@ async def test_chat_client_when_disabled(mock_chat_client, span_exporter: InMemo
 async def test_chat_client_streaming_when_disabled(mock_chat_client, span_exporter: InMemorySpanExporter):
     """Test streaming creates no spans when instrumentation is disabled."""
     client = mock_chat_client()
-    messages = [Message(role="user", text="Test")]
+    messages = [Message(role="user", contents=["Test"])]
 
     span_exporter.clear()
     updates = []
@@ -2540,7 +2540,7 @@ async def test_layer_ordering_span_sequence_with_function_calling(span_exporter:
                         ],
                     )
                 return ChatResponse(
-                    messages=[Message(role="assistant", text="The weather in Seattle is sunny!")],
+                    messages=[Message(role="assistant", contents=["The weather in Seattle is sunny!"])],
                 )
 
             return _get()
@@ -2549,7 +2549,7 @@ async def test_layer_ordering_span_sequence_with_function_calling(span_exporter:
     span_exporter.clear()
 
     response = await client.get_response(
-        messages=[Message(role="user", text="What's the weather in Seattle?")],
+        messages=[Message(role="user", contents=["What's the weather in Seattle?"])],
         options={"tools": [get_weather], "tool_choice": "auto"},
     )
 
@@ -2598,7 +2598,7 @@ async def test_agent_and_chat_spans_do_not_duplicate_response_telemetry(
 
                 def _finalize(updates: Sequence[ChatResponseUpdate]) -> ChatResponse:
                     return ChatResponse(
-                        messages=[Message(role="assistant", text="Nested response")],
+                        messages=[Message(role="assistant", contents=["Nested response"])],
                         response_id="nested_resp_123",
                         usage_details=UsageDetails(input_token_count=11, output_token_count=22),
                         finish_reason="stop",
@@ -2608,7 +2608,7 @@ async def test_agent_and_chat_spans_do_not_duplicate_response_telemetry(
 
             async def _get() -> ChatResponse:
                 return ChatResponse(
-                    messages=[Message(role="assistant", text="Nested response")],
+                    messages=[Message(role="assistant", contents=["Nested response"])],
                     response_id="nested_resp_123",
                     usage_details=UsageDetails(input_token_count=11, output_token_count=22),
                     finish_reason="stop",
@@ -2666,12 +2666,12 @@ async def test_capture_messages_preserves_non_ascii_characters(mock_chat_client,
     class ClientWithJapanese(mock_chat_client):
         async def _inner_get_response(self, *, messages, options, **kwargs):
             return ChatResponse(
-                messages=[Message(role="assistant", text=japanese_text)],
+                messages=[Message(role="assistant", contents=[japanese_text])],
                 usage_details=UsageDetails(input_token_count=5, output_token_count=10),
             )
 
     client = ClientWithJapanese()
-    messages = [Message(role="user", text=japanese_text)]
+    messages = [Message(role="user", contents=[japanese_text])]
 
     span_exporter.clear()
     response = await client.get_response(messages=messages, options={"model": "Test"})
@@ -2715,7 +2715,7 @@ async def test_system_instructions_preserves_non_ascii_characters(span_exporter:
         _capture_messages(
             span=span,
             provider_name="test_provider",
-            messages=[Message(role="user", text="Test")],
+            messages=[Message(role="user", contents=["Test"])],
             system_instructions=chinese_text,
         )
 
@@ -2840,7 +2840,7 @@ async def test_agent_instructions_from_default_options(
     agent = mock_chat_agent()
     agent.default_options = {"model": "TestModel", "instructions": "Default system instructions."}
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     span_exporter.clear()
     response = await agent.run(messages)
 
@@ -2866,7 +2866,7 @@ async def test_agent_instructions_from_options_override(
     agent = mock_chat_agent()
     agent.default_options = {"model": "TestModel"}  # No default instructions
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     span_exporter.clear()
     response = await agent.run(messages, options={"instructions": "Override instructions."})
 
@@ -2891,7 +2891,7 @@ async def test_agent_instructions_merged_from_default_and_options(
     agent = mock_chat_agent()
     agent.default_options = {"model": "TestModel", "instructions": "Default instructions."}
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     span_exporter.clear()
     response = await agent.run(messages, options={"instructions": "Additional instructions."})
 
@@ -2918,7 +2918,7 @@ async def test_agent_streaming_instructions_from_default_options(
     agent = mock_chat_agent()
     agent.default_options = {"model": "TestModel", "instructions": "Default streaming instructions."}
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     span_exporter.clear()
     updates = []
     stream = agent.run(messages, stream=True)
@@ -2947,7 +2947,7 @@ async def test_agent_streaming_instructions_merged_from_default_and_options(
     agent = mock_chat_agent()
     agent.default_options = {"model": "TestModel", "instructions": "Default instructions."}
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     span_exporter.clear()
     updates = []
     stream = agent.run(messages, stream=True, options={"instructions": "Stream override."})
@@ -2975,7 +2975,7 @@ async def test_agent_no_instructions_in_default_or_options(
     agent = mock_chat_agent()
     agent.default_options = {"model": "TestModel"}  # No instructions
 
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
     span_exporter.clear()
     response = await agent.run(messages)
 
@@ -3204,7 +3204,7 @@ async def test_agent_invoke_span_aggregates_usage_across_tool_calls(span_exporte
             usage_details=UsageDetails(input_token_count=2239, output_token_count=192),
         ),
         ChatResponse(
-            messages=Message(role="assistant", text="The weather in Seattle is sunny."),
+            messages=Message(role="assistant", contents=["The weather in Seattle is sunny."]),
             usage_details=UsageDetails(input_token_count=2569, output_token_count=99),
         ),
     ]
@@ -3248,7 +3248,7 @@ async def test_agent_invoke_span_usage_single_call(span_exporter: InMemorySpanEx
     client = MockBaseChatClient()
     client.run_responses = [
         ChatResponse(
-            messages=Message(role="assistant", text="Hello!"),
+            messages=Message(role="assistant", contents=["Hello!"]),
             usage_details=UsageDetails(input_token_count=100, output_token_count=50),
         ),
     ]
@@ -3291,7 +3291,7 @@ async def test_agent_invoke_span_aggregates_usage_on_max_iterations_exhaustion(s
         ),
         # Exhaustion path: consumed by tool_choice="none" final call (mock ignores usage)
         ChatResponse(
-            messages=Message(role="assistant", text="placeholder"),
+            messages=Message(role="assistant", contents=["placeholder"]),
             usage_details=UsageDetails(input_token_count=300, output_token_count=60),
         ),
     ]
diff --git a/python/packages/core/tests/core/test_sessions.py b/python/packages/core/tests/core/test_sessions.py
index 3d4d75afe5..e5eacebfe5 100644
--- a/python/packages/core/tests/core/test_sessions.py
+++ b/python/packages/core/tests/core/test_sessions.py
@@ -8,8 +8,6 @@ import pytest
 from agent_framework import (
     AgentContext,
     AgentSession,
-    BaseContextProvider,
-    BaseHistoryProvider,
     ChatContext,
     ContextProvider,
     HistoryProvider,
@@ -237,23 +235,6 @@ class TestContextProvider:
         await provider.after_run(agent=None, session=session, context=ctx, state={})  # type: ignore[arg-type]
 
 
-# ---------------------------------------------------------------------------
-# Deprecated provider alias tests
-# ---------------------------------------------------------------------------
-
-
-class TestDeprecatedProviderAliases:
-    def test_base_context_provider_warns_and_is_compatible(self) -> None:
-        with pytest.warns(DeprecationWarning, match="BaseContextProvider is deprecated. Use ContextProvider instead."):
-            provider = BaseContextProvider(source_id="test")
-
-        assert isinstance(provider, ContextProvider)
-
-    def test_base_provider_aliases_preserve_subtyping(self) -> None:
-        assert issubclass(BaseContextProvider, ContextProvider)
-        assert issubclass(BaseHistoryProvider, HistoryProvider)
-
-
 # ---------------------------------------------------------------------------
 # HistoryProvider tests
 # ---------------------------------------------------------------------------
diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py
index c8461fc7c6..23c7dd8cd6 100644
--- a/python/packages/core/tests/core/test_types.py
+++ b/python/packages/core/tests/core/test_types.py
@@ -699,7 +699,7 @@ def test_ai_content_serialization(args: dict):
 def test_chat_message_text():
     """Test the Message class to ensure it initializes correctly with text content."""
     # Create a Message with a role and text content
-    message = Message(role="user", text="Hello, how are you?")
+    message = Message(role="user", contents=["Hello, how are you?"])
 
     # Check the type and content
     assert message.role == "user"
@@ -730,7 +730,7 @@ def test_chat_message_contents():
 
 
 def test_chat_message_with_chatrole_instance():
-    m = Message(role="user", text="hi")
+    m = Message(role="user", contents=["hi"])
     assert m.role == "user"
     assert m.text == "hi"
 
@@ -741,7 +741,7 @@ def test_chat_message_with_chatrole_instance():
 def test_chat_response():
     """Test the ChatResponse class to ensure it initializes correctly with a message."""
     # Create a Message
-    message = Message(role="assistant", text="I'm doing well, thank you!")
+    message = Message(role="assistant", contents=["I'm doing well, thank you!"])
 
     # Create a ChatResponse with the message
     response = ChatResponse(messages=message)
@@ -756,7 +756,7 @@ def test_chat_response():
 
 def test_chat_response_accepts_model_alias() -> None:
     """Test ChatResponse accepts model and exposes it through model alias."""
-    response = ChatResponse(messages=Message(role="assistant", text="Hello"), model="claude-test")
+    response = ChatResponse(messages=Message(role="assistant", contents=["Hello"]), model="claude-test")
 
     assert response.model == "claude-test"
     assert response.model == "claude-test"
@@ -769,7 +769,7 @@ class OutputModel(BaseModel):
 def test_chat_response_with_format():
     """Test the ChatResponse class to ensure it initializes correctly with a message."""
     # Create a Message
-    message = Message(role="assistant", text='{"response": "Hello"}')
+    message = Message(role="assistant", contents=['{"response": "Hello"}'])
 
     # Create a ChatResponse with the message
     response = ChatResponse(messages=message, response_format=OutputModel)
@@ -786,7 +786,7 @@ def test_chat_response_with_format():
 def test_chat_response_with_format_init():
     """Test the ChatResponse class to ensure it initializes correctly with a message."""
     # Create a Message
-    message = Message(role="assistant", text='{"response": "Hello"}')
+    message = Message(role="assistant", contents=['{"response": "Hello"}'])
 
     # Create a ChatResponse with the message
     response = ChatResponse(messages=message, response_format=OutputModel)
@@ -802,7 +802,7 @@ def test_chat_response_with_format_init():
 
 def test_chat_response_with_mapping_response_format() -> None:
     """ChatResponse.value should parse JSON when response_format is a mapping."""
-    message = Message(role="assistant", text='{"response": "Hello"}')
+    message = Message(role="assistant", contents=['{"response": "Hello"}'])
     response = ChatResponse(
         messages=message,
         response_format={"type": "object", "properties": {"response": {"type": "string"}}},
@@ -821,7 +821,7 @@ def test_chat_response_value_raises_on_invalid_schema():
         name: str = Field(min_length=10)
         score: int = Field(gt=0, le=100)
 
-    message = Message(role="assistant", text='{"id": 1, "name": "test", "score": -5}')
+    message = Message(role="assistant", contents=['{"id": 1, "name": "test", "score": -5}'])
     response = ChatResponse(messages=message, response_format=StrictSchema)
 
     with raises(ValidationError) as exc_info:
@@ -842,7 +842,7 @@ def test_agent_response_value_raises_on_invalid_schema():
         name: str = Field(min_length=10)
         score: int = Field(gt=0, le=100)
 
-    message = Message(role="assistant", text='{"id": 1, "name": "test", "score": -5}')
+    message = Message(role="assistant", contents=['{"id": 1, "name": "test", "score": -5}'])
     response = AgentResponse(messages=message, response_format=StrictSchema)
 
     with raises(ValidationError) as exc_info:
@@ -1185,7 +1185,7 @@ def test_chat_options_and_tool_choice_required_specific_function() -> None:
 
 @fixture
 def chat_message() -> Message:
-    return Message(role="user", text="Hello")
+    return Message(role="user", contents=["Hello"])
 
 
 @fixture
@@ -1302,7 +1302,7 @@ def test_agent_run_response_created_at() -> None:
     # Test with a properly formatted UTC timestamp
     utc_timestamp = "2024-12-01T00:31:30.000000Z"
     response = AgentResponse(
-        messages=[Message(role="assistant", text="Hello")],
+        messages=[Message(role="assistant", contents=["Hello"])],
         created_at=utc_timestamp,
     )
     assert response.created_at == utc_timestamp
@@ -1312,7 +1312,7 @@ def test_agent_run_response_created_at() -> None:
     now_utc = datetime.now(tz=timezone.utc)
     formatted_utc = now_utc.strftime("%Y-%m-%dT%H:%M:%S.%fZ")
     response_with_now = AgentResponse(
-        messages=[Message(role="assistant", text="Hello")],
+        messages=[Message(role="assistant", contents=["Hello"])],
         created_at=formatted_utc,
     )
     assert response_with_now.created_at == formatted_utc
@@ -1466,7 +1466,7 @@ def test_chat_tool_mode_eq_with_string():
 
 @fixture
 def agent_run_response_async() -> AgentResponse:
-    return AgentResponse(messages=[Message(role="user", text="Hello")])
+    return AgentResponse(messages=[Message(role="user", contents=["Hello"])])
 
 
 async def test_agent_run_response_from_async_generator():
diff --git a/python/packages/core/tests/workflow/test_agent_executor.py b/python/packages/core/tests/workflow/test_agent_executor.py
index f6b7eb7f31..5ffd60aa55 100644
--- a/python/packages/core/tests/workflow/test_agent_executor.py
+++ b/python/packages/core/tests/workflow/test_agent_executor.py
@@ -158,8 +158,8 @@ async def test_agent_executor_checkpoint_stores_and_restores_state() -> None:
 
     # Add some initial messages to the session state to verify session state persistence
     initial_messages = [
-        Message(role="user", text="Initial message 1"),
-        Message(role="assistant", text="Initial response 1"),
+        Message(role="user", contents=["Initial message 1"]),
+        Message(role="assistant", contents=["Initial response 1"]),
     ]
     initial_session.state["history"] = {"messages": initial_messages}
 
@@ -256,9 +256,9 @@ async def test_agent_executor_save_and_restore_state_directly() -> None:
 
     # Add messages to session state
     session_messages = [
-        Message(role="user", text="Message in session 1"),
-        Message(role="assistant", text="Session response 1"),
-        Message(role="user", text="Message in session 2"),
+        Message(role="user", contents=["Message in session 1"]),
+        Message(role="assistant", contents=["Session response 1"]),
+        Message(role="user", contents=["Message in session 2"]),
     ]
     session.state["history"] = {"messages": session_messages}
 
@@ -266,8 +266,8 @@ async def test_agent_executor_save_and_restore_state_directly() -> None:
 
     # Add messages to executor cache
     cache_messages = [
-        Message(role="user", text="Cached user message"),
-        Message(role="assistant", text="Cached assistant response"),
+        Message(role="user", contents=["Cached user message"]),
+        Message(role="assistant", contents=["Cached assistant response"]),
     ]
     executor._cache = list(cache_messages)  # type: ignore[reportPrivateUsage]
 
@@ -562,7 +562,7 @@ async def test_checkpoint_restore_works_without_context_mode_in_state() -> None:
 
     # Simulate a checkpoint state without context_mode (as saved by the new code)
     state: dict[str, Any] = {
-        "cache": [Message(role="user", text="cached msg")],
+        "cache": [Message(role="user", contents=["cached msg"])],
         "full_conversation": [],
         "agent_session": AgentSession().to_dict(),
         "pending_agent_requests": {},
diff --git a/python/packages/core/tests/workflow/test_agent_run_event_typing.py b/python/packages/core/tests/workflow/test_agent_run_event_typing.py
index ff8ef99893..2b16f01258 100644
--- a/python/packages/core/tests/workflow/test_agent_run_event_typing.py
+++ b/python/packages/core/tests/workflow/test_agent_run_event_typing.py
@@ -8,7 +8,7 @@ from agent_framework._workflows._events import WorkflowEvent
 
 def test_workflow_event_with_agent_response_data_type() -> None:
     """Verify WorkflowEvent[AgentResponse].data is typed as AgentResponse."""
-    response = AgentResponse(messages=[Message(role="assistant", text="Hello")])
+    response = AgentResponse(messages=[Message(role="assistant", contents=["Hello"])])
     event: WorkflowEvent[AgentResponse] = WorkflowEvent.emit(executor_id="test", data=response)
 
     # This assignment should pass type checking without a cast
@@ -29,7 +29,7 @@ def test_workflow_event_with_agent_response_update_data_type() -> None:
 
 def test_workflow_event_repr() -> None:
     """Verify WorkflowEvent.__repr__ uses consistent format."""
-    response = AgentResponse(messages=[Message(role="assistant", text="Hello")])
+    response = AgentResponse(messages=[Message(role="assistant", contents=["Hello"])])
     event: WorkflowEvent[AgentResponse] = WorkflowEvent.emit(executor_id="test", data=response)
 
     repr_str = repr(event)
diff --git a/python/packages/core/tests/workflow/test_executor.py b/python/packages/core/tests/workflow/test_executor.py
index 77777e198b..e6be2e5bd0 100644
--- a/python/packages/core/tests/workflow/test_executor.py
+++ b/python/packages/core/tests/workflow/test_executor.py
@@ -540,7 +540,7 @@ async def test_executor_invoked_event_data_not_mutated_by_handler():
     async def mutator(messages: list[Message], ctx: WorkflowContext[list[Message]]) -> None:
         # The handler mutates the input list by appending new messages
         original_len = len(messages)
-        messages.append(Message(role="assistant", text="Added by executor"))
+        messages.append(Message(role="assistant", contents=["Added by executor"]))
         await ctx.send_message(messages)
         # Verify mutation happened
         assert len(messages) == original_len + 1
@@ -548,7 +548,7 @@ async def test_executor_invoked_event_data_not_mutated_by_handler():
     workflow = WorkflowBuilder(start_executor=mutator).build()
 
     # Run with a single user message
-    input_messages = [Message(role="user", text="hello")]
+    input_messages = [Message(role="user", contents=["hello"])]
     events = await workflow.run(input_messages)
 
     # Find the invoked event for the Mutator executor
diff --git a/python/packages/core/tests/workflow/test_full_conversation.py b/python/packages/core/tests/workflow/test_full_conversation.py
index b6b5260d83..b38b9400a2 100644
--- a/python/packages/core/tests/workflow/test_full_conversation.py
+++ b/python/packages/core/tests/workflow/test_full_conversation.py
@@ -322,7 +322,7 @@ class _RoundTripCoordinator(Executor):
             assert response.full_conversation is not None
             await ctx.send_message(
                 AgentExecutorRequest(
-                    messages=list(response.full_conversation) + [Message(role="user", text="apply feedback")],
+                    messages=list(response.full_conversation) + [Message(role="user", contents=["apply feedback"])],
                     should_respond=True,
                 ),
                 target_id=self._target_agent_id,
@@ -418,7 +418,7 @@ class _FullHistoryReplayCoordinator(Executor):
         ctx: WorkflowContext[AgentExecutorRequest, Any],
     ) -> None:
         full_conv = list(response.full_conversation or response.agent_response.messages)
-        full_conv.append(Message(role="user", text="follow-up"))
+        full_conv.append(Message(role="user", contents=["follow-up"]))
         # Simulate a prior run: the target executor has a stored previous_response_id.
         self._target_exec._session.service_session_id = "resp_PREVIOUS_RUN"  # pyright: ignore[reportPrivateUsage]
         await ctx.send_message(
diff --git a/python/packages/core/tests/workflow/test_workflow_agent.py b/python/packages/core/tests/workflow/test_workflow_agent.py
index eacf70c6db..dd2100c1ae 100644
--- a/python/packages/core/tests/workflow/test_workflow_agent.py
+++ b/python/packages/core/tests/workflow/test_workflow_agent.py
@@ -344,7 +344,7 @@ class TestWorkflowAgent:
         workflow = WorkflowBuilder(start_executor=yielding_executor).build()
 
         # Run directly - should return output event (type='output') in result
-        direct_result = await workflow.run([Message(role="user", text="hello")])
+        direct_result = await workflow.run([Message(role="user", contents=["hello"])])
         direct_outputs = direct_result.get_outputs()
         assert len(direct_outputs) == 1
         assert direct_outputs[0] == "processed: hello"
@@ -479,8 +479,8 @@ class TestWorkflowAgent:
         async def list_yielding_executor(messages: list[Message], ctx: WorkflowContext[Never, list[Message]]) -> None:
             # Yield a list of Messages (as SequentialBuilder does)
             msg_list = [
-                Message(role="user", text="first message"),
-                Message(role="assistant", text="second message"),
+                Message(role="user", contents=["first message"]),
+                Message(role="assistant", contents=["second message"]),
                 Message(
                     role="assistant",
                     contents=[Content.from_text(text="third"), Content.from_text(text="fourth")],
diff --git a/python/packages/core/tests/workflow/test_workflow_builder.py b/python/packages/core/tests/workflow/test_workflow_builder.py
index 29a4bf0292..c780bf4ac9 100644
--- a/python/packages/core/tests/workflow/test_workflow_builder.py
+++ b/python/packages/core/tests/workflow/test_workflow_builder.py
@@ -65,7 +65,7 @@ class DummyAgent(BaseAgent):
                 if isinstance(m, Message):
                     norm.append(m)
                 elif isinstance(m, str):
-                    norm.append(Message(role="user", text=m))
+                    norm.append(Message(role="user", contents=[m]))
         return AgentResponse(messages=norm)
 
     async def _run_stream_impl(self) -> AsyncIterator[AgentResponseUpdate]:
diff --git a/python/packages/core/tests/workflow/test_workflow_kwargs.py b/python/packages/core/tests/workflow/test_workflow_kwargs.py
index 1b14d53375..bba808f87a 100644
--- a/python/packages/core/tests/workflow/test_workflow_kwargs.py
+++ b/python/packages/core/tests/workflow/test_workflow_kwargs.py
@@ -469,10 +469,10 @@ async def test_magentic_kwargs_flow_to_agents() -> None:
             self.task_ledger = None
 
         async def plan(self, magentic_context: MagenticContext) -> Message:
-            return Message(role="assistant", text="Plan: Test task", author_name="manager")
+            return Message(role="assistant", contents=["Plan: Test task"], author_name="manager")
 
         async def replan(self, magentic_context: MagenticContext) -> Message:
-            return Message(role="assistant", text="Replan: Test task", author_name="manager")
+            return Message(role="assistant", contents=["Replan: Test task"], author_name="manager")
 
         async def create_progress_ledger(self, magentic_context: MagenticContext) -> MagenticProgressLedger:
             # Return completed on first call
@@ -485,7 +485,7 @@ async def test_magentic_kwargs_flow_to_agents() -> None:
             )
 
         async def prepare_final_answer(self, magentic_context: MagenticContext) -> Message:
-            return Message(role="assistant", text="Final answer", author_name="manager")
+            return Message(role="assistant", contents=["Final answer"], author_name="manager")
 
     agent = _KwargsCapturingAgent(name="agent1")
     manager = _MockManager()
@@ -520,10 +520,10 @@ async def test_magentic_kwargs_stored_in_state() -> None:
             self.task_ledger = None
 
         async def plan(self, magentic_context: MagenticContext) -> Message:
-            return Message(role="assistant", text="Plan", author_name="manager")
+            return Message(role="assistant", contents=["Plan"], author_name="manager")
 
         async def replan(self, magentic_context: MagenticContext) -> Message:
-            return Message(role="assistant", text="Replan", author_name="manager")
+            return Message(role="assistant", contents=["Replan"], author_name="manager")
 
         async def create_progress_ledger(self, magentic_context: MagenticContext) -> MagenticProgressLedger:
             return MagenticProgressLedger(
@@ -535,7 +535,7 @@ async def test_magentic_kwargs_stored_in_state() -> None:
             )
 
         async def prepare_final_answer(self, magentic_context: MagenticContext) -> Message:
-            return Message(role="assistant", text="Final", author_name="manager")
+            return Message(role="assistant", contents=["Final"], author_name="manager")
 
     agent = _KwargsCapturingAgent(name="agent1")
     manager = _MockManager()
diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py
index 02cc6dab11..8b479304cc 100644
--- a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py
+++ b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py
@@ -640,7 +640,7 @@ class InvokeAzureAgentExecutor(DeclarativeActionExecutor):
 
         # Add user input to conversation history first (via state.append only)
         if input_text:
-            user_message = Message(role="user", text=input_text)
+            user_message = Message(role="user", contents=[input_text])
             state.append(messages_path, user_message)
 
         # Get conversation history from state AFTER adding user message
@@ -717,7 +717,7 @@ class InvokeAzureAgentExecutor(DeclarativeActionExecutor):
                 "Agent '%s': No messages in response, creating simple assistant message",
                 agent_name,
             )
-            assistant_message = Message(role="assistant", text=accumulated_response)
+            assistant_message = Message(role="assistant", contents=[accumulated_response])
             state.append(messages_path, assistant_message)
 
         # Store results in state - support both schema formats:
diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py
index 34396a85c2..b2c046a69b 100644
--- a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py
+++ b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py
@@ -588,7 +588,9 @@ class BaseToolExecutor(DeclarativeActionExecutor):
                 messages=[
                     Message(
                         role="assistant",
-                        text=f"Function '{function_name}' was rejected: {response.reason or 'No reason provided'}",
+                        contents=[
+                            f"Function '{function_name}' was rejected: {response.reason or 'No reason provided'}"
+                        ],
                     )
                 ],
             )
diff --git a/python/packages/declarative/pyproject.toml b/python/packages/declarative/pyproject.toml
index 64bcd0a725..c502409de6 100644
--- a/python/packages/declarative/pyproject.toml
+++ b/python/packages/declarative/pyproject.toml
@@ -4,7 +4,7 @@ description = "Declarative specification support for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "powerfx>=0.0.32,<0.0.35; python_version < '3.14'",
     "pyyaml>=6.0,<7.0",
 ]
diff --git a/python/packages/devui/agent_framework_devui/_conversations.py b/python/packages/devui/agent_framework_devui/_conversations.py
index 8130835002..243f36cee3 100644
--- a/python/packages/devui/agent_framework_devui/_conversations.py
+++ b/python/packages/devui/agent_framework_devui/_conversations.py
@@ -314,7 +314,7 @@ class InMemoryConversationStore(ConversationStore):
             text_obj = first_content.get("text", "")
             text = text_obj if isinstance(text_obj, str) else str(text_obj)
 
-            chat_msg = Message(role=role, text=text)  # type: ignore[arg-type]
+            chat_msg = Message(role=role, contents=[text])  # type: ignore[arg-type]
             chat_messages.append(chat_msg)
 
         # Add messages to internal storage
diff --git a/python/packages/devui/agent_framework_devui/_utils.py b/python/packages/devui/agent_framework_devui/_utils.py
index 9aa7efa9f6..602901995d 100644
--- a/python/packages/devui/agent_framework_devui/_utils.py
+++ b/python/packages/devui/agent_framework_devui/_utils.py
@@ -484,6 +484,43 @@ def parse_input_for_type(input_data: Any, target_type: type) -> Any:
     return input_data
 
 
+def _build_message_from_legacy_payload(input_data: str | dict[str, Any]) -> Message:
+    """Convert raw DevUI input into a framework Message.
+
+    This preserves DevUI compatibility for older payloads that still send
+    ``{"role": "...", "text": "..."}`` instead of the framework-native
+    ``{"role": "...", "contents": [...]}`` shape.
+    """
+    if isinstance(input_data, str):
+        return Message(role="user", contents=[input_data])
+
+    role = input_data.get("role", "user")
+    role = role if isinstance(role, str) else str(role)
+
+    if "contents" in input_data:
+        contents = input_data["contents"]
+    else:
+        contents = None
+        for field in ("text", "message", "content", "input", "data"):
+            if field in input_data:
+                contents = input_data[field]
+                break
+
+    if contents is None:
+        contents_list: list[Any] = []
+    elif isinstance(contents, list):
+        contents_list = contents  # type: ignore[reportUnknownVariableType]
+    else:
+        contents_list = [contents]
+
+    kwargs: dict[str, Any] = {}
+    for field in ("author_name", "message_id", "additional_properties", "raw_representation"):
+        if field in input_data:
+            kwargs[field] = input_data[field]
+
+    return Message(role=role, contents=contents_list, **kwargs)
+
+
 def _parse_string_input(input_str: str, target_type: type) -> Any:
     """Parse string input to target type.
 
@@ -531,6 +568,14 @@ def _parse_string_input(input_str: str, target_type: type) -> Any:
     # SerializationMixin (like Message)
     if is_serialization_mixin(target_type):
         try:
+            if target_type is Message:
+                if input_str.strip().startswith("{"):
+                    data = json.loads(input_str)
+                    parsed_dict = _string_key_dict(data)
+                    if parsed_dict is not None:
+                        return _build_message_from_legacy_payload(parsed_dict)
+                return _build_message_from_legacy_payload(input_str)
+
             # Try parsing as JSON dict first
             if input_str.strip().startswith("{"):
                 data = json.loads(input_str)
@@ -538,20 +583,10 @@ def _parse_string_input(input_str: str, target_type: type) -> Any:
                     return target_type.from_dict(data)  # type: ignore
                 return target_type(**data)  # type: ignore
 
-            # For Message specifically: create from text
-            # Try common field patterns
+            # Try other common fields
             common_fields = ["text", "message", "content"]
             sig = inspect.signature(target_type)
             params = list(sig.parameters.keys())
-
-            # If it has 'text' param, use it
-            if "text" in params:
-                try:
-                    return target_type(role="user", text=input_str)  # type: ignore
-                except Exception as e:
-                    logger.debug(f"Failed to create SerializationMixin with text field: {e}")
-
-            # Try other common fields
             for field in common_fields:
                 if field in params:
                     try:
@@ -631,6 +666,8 @@ def _parse_dict_input(input_dict: dict[str, Any], target_type: type) -> Any:
     # SerializationMixin
     if is_serialization_mixin(target_type):
         try:
+            if target_type is Message:
+                return _build_message_from_legacy_payload(input_dict)
             if hasattr(target_type, "from_dict"):
                 return target_type.from_dict(input_dict)  # type: ignore
             return target_type(**input_dict)  # type: ignore
diff --git a/python/packages/devui/pyproject.toml b/python/packages/devui/pyproject.toml
index 1de35bd0cb..fd3bc62fe2 100644
--- a/python/packages/devui/pyproject.toml
+++ b/python/packages/devui/pyproject.toml
@@ -4,7 +4,7 @@ description = "Debug UI for Microsoft Agent Framework with OpenAI-compatible API
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://github.com/microsoft/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
  dependencies = [
-     "agent-framework-core>=1.0.0rc6",
+     "agent-framework-core>=1.0.0,<2",
      "openai>=1.99.0,<3",
      "opentelemetry-sdk>=1.39.0,<2",
      "fastapi>=0.115.0,<0.133.1",
@@ -34,7 +34,7 @@ classifiers = [
 dev = [
     "pytest==9.0.2",
     "watchdog==6.0.0",
-    "agent-framework-orchestrations==1.0.0b260304",
+    "agent-framework-orchestrations==1.0.0b260402",
 ]
 all = [
     "pytest==9.0.2",
diff --git a/python/packages/devui/samples/README.md b/python/packages/devui/samples/README.md
deleted file mode 100644
index d4ad6f6b83..0000000000
--- a/python/packages/devui/samples/README.md
+++ /dev/null
@@ -1,38 +0,0 @@
-# DevUI Samples - Moved
-
-**The DevUI samples have been relocated to the main samples folder for better consistency and discoverability.**
-
-## New Location
-
-All DevUI samples are now located at:
-
-```
-python/samples/02-agents/devui/
-```
-
-## Available Samples
-
-- **weather_agent** - Basic OpenAI weather agent
-- **weather_agent_azure** - Azure OpenAI weather agent
-- **foundry_agent** - Azure AI Foundry weather agent
-- **spam_workflow** - Email spam detection workflow
-- **fanout_workflow** - Complex fan-in/fan-out data processing workflow
-- **in_memory_mode.py** - In-memory entity registration example
-
-## Quick Start
-
-```bash
-cd ../../samples/02-agents/devui
-python in_memory_mode.py
-```
-
-Or for directory discovery:
-
-```bash
-cd ../../samples/02-agents/devui
-devui
-```
-
-## Learn More
-
-See the [DevUI samples README](../../../samples/02-agents/devui/README.md) for detailed documentation.
diff --git a/python/packages/devui/samples/__init__.py b/python/packages/devui/samples/__init__.py
deleted file mode 100644
index 50801e55c7..0000000000
--- a/python/packages/devui/samples/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-"""Examples package for Agent Framework DevUI."""
diff --git a/python/packages/durabletask/pyproject.toml b/python/packages/durabletask/pyproject.toml
index f2fe9af94b..a7c325442c 100644
--- a/python/packages/durabletask/pyproject.toml
+++ b/python/packages/durabletask/pyproject.toml
@@ -4,7 +4,7 @@ description = "Durable Task integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "durabletask>=1.3.0,<2",
     "durabletask-azuremanaged>=1.3.0,<2",
     "python-dateutil>=2.8.0,<3",
@@ -30,7 +30,7 @@ dependencies = [
 
 [dependency-groups]
 dev = [
-    "types-python-dateutil==2.9.0.20260305",
+    "types-python-dateutil==2.9.0.20260402",
 ]
 
 [tool.uv]
diff --git a/python/packages/durabletask/tests/test_durable_entities.py b/python/packages/durabletask/tests/test_durable_entities.py
index e61eacaf0c..d237829794 100644
--- a/python/packages/durabletask/tests/test_durable_entities.py
+++ b/python/packages/durabletask/tests/test_durable_entities.py
@@ -83,7 +83,9 @@ def _role_value(chat_message: DurableAgentStateMessage) -> str:
 
 def _agent_response(text: str | None) -> AgentResponse:
     """Create an AgentResponse with a single assistant message."""
-    message = Message(role="assistant", text=text) if text is not None else Message(role="assistant", text="")
+    message = (
+        Message(role="assistant", contents=[text]) if text is not None else Message(role="assistant", contents=[""])
+    )
     return AgentResponse(messages=[message], created_at="2024-01-01T00:00:00Z")
 
 
diff --git a/python/packages/durabletask/tests/test_shim.py b/python/packages/durabletask/tests/test_shim.py
index 687a0746a7..9a265ab974 100644
--- a/python/packages/durabletask/tests/test_shim.py
+++ b/python/packages/durabletask/tests/test_shim.py
@@ -77,7 +77,7 @@ class TestDurableAIAgentMessageNormalization:
 
     def test_run_accepts_chat_message(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
         """Verify run accepts and normalizes Message objects."""
-        chat_msg = Message(role="user", text="Test message")
+        chat_msg = Message(role="user", contents=["Test message"])
         test_agent.run(chat_msg)
 
         mock_executor.run_durable_agent.assert_called_once()
@@ -95,8 +95,8 @@ class TestDurableAIAgentMessageNormalization:
     def test_run_accepts_list_of_chat_messages(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
         """Verify run accepts and joins list of Message objects."""
         messages = [
-            Message(role="user", text="Message 1"),
-            Message(role="assistant", text="Message 2"),
+            Message(role="user", contents=["Message 1"]),
+            Message(role="assistant", contents=["Message 2"]),
         ]
         test_agent.run(messages)
 
diff --git a/python/packages/foundry/agent_framework_foundry/_memory_provider.py b/python/packages/foundry/agent_framework_foundry/_memory_provider.py
index 742b2e4753..c49f950b6b 100644
--- a/python/packages/foundry/agent_framework_foundry/_memory_provider.py
+++ b/python/packages/foundry/agent_framework_foundry/_memory_provider.py
@@ -219,7 +219,7 @@ class FoundryMemoryProvider(ContextProvider):
                 if line_separated_memories:
                     context.extend_messages(
                         self.source_id,
-                        [Message(role="user", text=f"{self.context_prompt}\n{line_separated_memories}")],
+                        [Message(role="user", contents=[f"{self.context_prompt}\n{line_separated_memories}"])],
                     )
         except Exception as e:
             # Log but don't fail - memory retrieval is non-critical
diff --git a/python/packages/foundry/pyproject.toml b/python/packages/foundry/pyproject.toml
index 752a86b993..335d7ef394 100644
--- a/python/packages/foundry/pyproject.toml
+++ b/python/packages/foundry/pyproject.toml
@@ -4,7 +4,7 @@ description = "Microsoft Foundry integrations for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0rc6"
+version = "1.0.0"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -12,7 +12,7 @@ urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=ta
 urls.issues = "https://github.com/microsoft/agent-framework/issues"
 classifiers = [
   "License :: OSI Approved :: MIT License",
-  "Development Status :: 4 - Beta",
+  "Development Status :: 5 - Production/Stable",
   "Intended Audience :: Developers",
   "Programming Language :: Python :: 3",
   "Programming Language :: Python :: 3.10",
@@ -23,8 +23,8 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
-    "agent-framework-openai>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-openai>=1.0.0,<2",
     "azure-ai-inference>=1.0.0b9,<1.0.0b10",
     "azure-ai-projects>=2.0.0,<3.0",
 ]
diff --git a/python/packages/foundry/tests/foundry/test_foundry_chat_client.py b/python/packages/foundry/tests/foundry/test_foundry_chat_client.py
index 24e5677e19..a4e9afdd3e 100644
--- a/python/packages/foundry/tests/foundry/test_foundry_chat_client.py
+++ b/python/packages/foundry/tests/foundry/test_foundry_chat_client.py
@@ -359,7 +359,7 @@ async def test_web_search_tool_with_location() -> None:
     assert web_search_tool.user_location.city == "Seattle"
     assert web_search_tool.user_location.country == "US"
     _, run_options, _ = await client._prepare_request(
-        messages=[Message(role="user", text="What's the weather?")],
+        messages=[Message(role="user", contents=["What's the weather?"])],
         options={"tools": [web_search_tool], "tool_choice": "auto"},
     )
 
@@ -387,7 +387,7 @@ async def test_code_interpreter_tool_variations() -> None:
     assert code_tool_with_files.container.file_ids == ["file1", "file2"]
 
     _, run_options, _ = await client._prepare_request(
-        messages=[Message(role="user", text="Process these files")],
+        messages=[Message(role="user", contents=["Process these files"])],
         options={"tools": [code_tool_with_files]},
     )
 
@@ -428,7 +428,7 @@ async def test_chat_message_parsing_with_function_calls() -> None:
     )
     function_result = Content.from_function_result(call_id="test-call-id", result="Function executed successfully")
     messages = [
-        Message(role="user", text="Call a function"),
+        Message(role="user", contents=["Call a function"]),
         Message(role="assistant", contents=[function_call]),
         Message(role="tool", contents=[function_result]),
     ]
@@ -471,7 +471,7 @@ async def test_content_filter_exception() -> None:
     client.client.responses.create.side_effect = mock_error
 
     with pytest.raises(OpenAIContentFilterException) as exc_info:
-        await client.get_response(messages=[Message(role="user", text="Test message")])
+        await client.get_response(messages=[Message(role="user", contents=["Test message"])])
 
     assert "content error" in str(exc_info.value)
 
@@ -495,7 +495,7 @@ async def test_response_format_parse_path() -> None:
     client.client.responses.parse = AsyncMock(return_value=mock_parsed_response)
 
     response = await client.get_response(
-        messages=[Message(role="user", text="Test message")],
+        messages=[Message(role="user", contents=["Test message"])],
         options={"response_format": OutputStruct, "store": True},
     )
     assert response.response_id == "parsed_response_123"
@@ -523,7 +523,7 @@ async def test_response_format_parse_path_with_conversation_id() -> None:
     client.client.responses.parse = AsyncMock(return_value=mock_parsed_response)
 
     response = await client.get_response(
-        messages=[Message(role="user", text="Test message")],
+        messages=[Message(role="user", contents=["Test message"])],
         options={"response_format": OutputStruct, "store": True},
     )
     assert response.response_id == "parsed_response_123"
@@ -563,7 +563,7 @@ async def test_response_format_dict_parse_path() -> None:
     client.client.responses.create = AsyncMock(return_value=mock_response)
 
     response = await client.get_response(
-        messages=[Message(role="user", text="Test message")],
+        messages=[Message(role="user", contents=["Test message"])],
         options={"response_format": response_format},
     )
 
@@ -589,7 +589,7 @@ async def test_bad_request_error_non_content_filter() -> None:
 
     with pytest.raises(ChatClientException) as exc_info:
         await client.get_response(
-            messages=[Message(role="user", text="Test message")],
+            messages=[Message(role="user", contents=["Test message"])],
             options={"response_format": OutputStruct},
         )
 
@@ -656,12 +656,12 @@ async def test_integration_options(
     client.function_invocation_configuration["max_iterations"] = 2
 
     if option_name.startswith("tools") or option_name.startswith("tool_choice"):
-        messages = [Message(role="user", text="What is the weather in Seattle?")]
+        messages = [Message(role="user", contents=["What is the weather in Seattle?"])]
     elif option_name.startswith("response_format"):
-        messages = [Message(role="user", text="The weather in Seattle is sunny")]
-        messages.append(Message(role="user", text="What is the weather in Seattle?"))
+        messages = [Message(role="user", contents=["The weather in Seattle is sunny"])]
+        messages.append(Message(role="user", contents=["What is the weather in Seattle?"]))
     else:
-        messages = [Message(role="user", text="Say 'Hello World' briefly.")]
+        messages = [Message(role="user", contents=["Say 'Hello World' briefly."])]
 
     options: dict[str, Any] = {option_name: option_value}
     if option_name.startswith("tool_choice"):
@@ -700,7 +700,7 @@ async def test_integration_web_search() -> None:
         "messages": [
             Message(
                 role="user",
-                text="Who are the main characters of Kpop Demon Hunters? Do a web search to find the answer.",
+                contents=["Who are the main characters of Kpop Demon Hunters? Do a web search to find the answer."],
             )
         ],
         "options": {"tool_choice": "auto", "tools": [web_search_tool]},
@@ -728,7 +728,7 @@ async def test_integration_tool_rich_content_image() -> None:
     client = FoundryChatClient(credential=AzureCliCredential())
     client.function_invocation_configuration["max_iterations"] = 2
 
-    messages = [Message(role="user", text="Call the get_test_image tool and describe what you see.")]
+    messages = [Message(role="user", contents=["Call the get_test_image tool and describe what you see."])]
     options: dict[str, Any] = {"tools": [get_test_image], "tool_choice": "auto"}
 
     response = await client.get_response(messages=messages, options=options, stream=True).get_final_response()
diff --git a/python/packages/foundry/tests/foundry/test_foundry_memory_provider.py b/python/packages/foundry/tests/foundry/test_foundry_memory_provider.py
index 005eed29ce..2e25ba38d4 100644
--- a/python/packages/foundry/tests/foundry/test_foundry_memory_provider.py
+++ b/python/packages/foundry/tests/foundry/test_foundry_memory_provider.py
@@ -156,7 +156,7 @@ async def test_retrieves_static_memories_on_first_run(mock_project_client: Async
         scope="user_123",
     )
     session = AgentSession(session_id="test-session")
-    ctx = SessionContext(input_messages=[Message(role="user", text="Hello")], session_id="s1")
+    ctx = SessionContext(input_messages=[Message(role="user", contents=["Hello"])], session_id="s1")
 
     await provider.before_run(  # type: ignore[arg-type]
         agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -191,7 +191,7 @@ async def test_contextual_memories_added_to_context(mock_project_client: AsyncMo
         scope="user_123",
     )
     session = AgentSession(session_id="test-session")
-    ctx = SessionContext(input_messages=[Message(role="user", text="Hello")], session_id="s1")
+    ctx = SessionContext(input_messages=[Message(role="user", contents=["Hello"])], session_id="s1")
 
     await provider.before_run(  # type: ignore[arg-type]
         agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -218,7 +218,7 @@ async def test_empty_input_skips_contextual_search(mock_project_client: AsyncMoc
         scope="user_123",
     )
     session = AgentSession(session_id="test-session")
-    ctx = SessionContext(input_messages=[Message(role="user", text="")], session_id="s1")
+    ctx = SessionContext(input_messages=[Message(role="user", contents=[""])], session_id="s1")
 
     await provider.before_run(  # type: ignore[arg-type]
         agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -240,7 +240,7 @@ async def test_empty_search_results_no_messages(mock_project_client: AsyncMock)
         scope="user_123",
     )
     session = AgentSession(session_id="test-session")
-    ctx = SessionContext(input_messages=[Message(role="user", text="test")], session_id="s1")
+    ctx = SessionContext(input_messages=[Message(role="user", contents=["test"])], session_id="s1")
 
     await provider.before_run(  # type: ignore[arg-type]
         agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -265,7 +265,7 @@ async def test_static_memories_only_retrieved_once(mock_project_client: AsyncMoc
         scope="user_123",
     )
     session = AgentSession(session_id="test-session")
-    ctx = SessionContext(input_messages=[Message(role="user", text="Hello")], session_id="s1")
+    ctx = SessionContext(input_messages=[Message(role="user", contents=["Hello"])], session_id="s1")
 
     # First call
     await provider.before_run(  # type: ignore[arg-type]
@@ -280,7 +280,7 @@ async def test_static_memories_only_retrieved_once(mock_project_client: AsyncMoc
     mock_project_client.beta.memory_stores.search_memories.return_value = contextual_result2
 
     # Second call - should only search contextual, not static
-    ctx2 = SessionContext(input_messages=[Message(role="user", text="World")], session_id="s1")
+    ctx2 = SessionContext(input_messages=[Message(role="user", contents=["World"])], session_id="s1")
     await provider.before_run(  # type: ignore[arg-type]
         agent=None, session=session, context=ctx2, state=session.state.setdefault(provider.source_id, {})
     )
@@ -296,7 +296,7 @@ async def test_handles_search_exception_gracefully(mock_project_client: AsyncMoc
         scope="user_123",
     )
     session = AgentSession(session_id="test-session")
-    ctx = SessionContext(input_messages=[Message(role="user", text="Hello")], session_id="s1")
+    ctx = SessionContext(input_messages=[Message(role="user", contents=["Hello"])], session_id="s1")
 
     # Should not raise exception
     await provider.before_run(  # type: ignore[arg-type]
@@ -321,8 +321,8 @@ async def test_stores_input_and_response(mock_project_client: AsyncMock) -> None
         scope="user_123",
     )
     session = AgentSession(session_id="test-session")
-    ctx = SessionContext(input_messages=[Message(role="user", text="question")], session_id="s1")
-    ctx._response = AgentResponse(messages=[Message(role="assistant", text="answer")])
+    ctx = SessionContext(input_messages=[Message(role="user", contents=["question"])], session_id="s1")
+    ctx._response = AgentResponse(messages=[Message(role="assistant", contents=["answer"])])
 
     await provider.after_run(  # type: ignore[arg-type]
         agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -350,12 +350,12 @@ async def test_only_stores_user_assistant_system(mock_project_client: AsyncMock)
     session = AgentSession(session_id="test-session")
     ctx = SessionContext(
         input_messages=[
-            Message(role="user", text="hello"),
-            Message(role="tool", text="tool output"),
+            Message(role="user", contents=["hello"]),
+            Message(role="tool", contents=["tool output"]),
         ],
         session_id="s1",
     )
-    ctx._response = AgentResponse(messages=[Message(role="assistant", text="reply")])
+    ctx._response = AgentResponse(messages=[Message(role="assistant", contents=["reply"])])
 
     await provider.after_run(  # type: ignore[arg-type]
         agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -377,8 +377,8 @@ async def test_skips_empty_messages(mock_project_client: AsyncMock) -> None:
     session = AgentSession(session_id="test-session")
     ctx = SessionContext(
         input_messages=[
-            Message(role="user", text=""),
-            Message(role="user", text="   "),
+            Message(role="user", contents=[""]),
+            Message(role="user", contents=["   "]),
         ],
         session_id="s1",
     )
@@ -402,8 +402,8 @@ async def test_uses_configured_update_delay(mock_project_client: AsyncMock) -> N
         update_delay=60,
     )
     session = AgentSession(session_id="test-session")
-    ctx = SessionContext(input_messages=[Message(role="user", text="hi")], session_id="s1")
-    ctx._response = AgentResponse(messages=[Message(role="assistant", text="hey")])
+    ctx = SessionContext(input_messages=[Message(role="user", contents=["hi"])], session_id="s1")
+    ctx._response = AgentResponse(messages=[Message(role="assistant", contents=["hey"])])
 
     await provider.after_run(  # type: ignore[arg-type]
         agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -427,8 +427,8 @@ async def test_uses_previous_update_id_for_incremental_updates(mock_project_clie
         scope="user_123",
     )
     session = AgentSession(session_id="test-session")
-    ctx1 = SessionContext(input_messages=[Message(role="user", text="first")], session_id="s1")
-    ctx1._response = AgentResponse(messages=[Message(role="assistant", text="response1")])
+    ctx1 = SessionContext(input_messages=[Message(role="user", contents=["first"])], session_id="s1")
+    ctx1._response = AgentResponse(messages=[Message(role="assistant", contents=["response1"])])
 
     # First update
     await provider.after_run(  # type: ignore[arg-type]
@@ -437,8 +437,8 @@ async def test_uses_previous_update_id_for_incremental_updates(mock_project_clie
     assert session.state[provider.source_id]["previous_update_id"] == "update-1"
 
     # Second update should use previous_update_id
-    ctx2 = SessionContext(input_messages=[Message(role="user", text="second")], session_id="s1")
-    ctx2._response = AgentResponse(messages=[Message(role="assistant", text="response2")])
+    ctx2 = SessionContext(input_messages=[Message(role="user", contents=["second"])], session_id="s1")
+    ctx2._response = AgentResponse(messages=[Message(role="assistant", contents=["response2"])])
 
     await provider.after_run(  # type: ignore[arg-type]
         agent=None, session=session, context=ctx2, state=session.state.setdefault(provider.source_id, {})
@@ -458,8 +458,8 @@ async def test_handles_update_exception_gracefully(mock_project_client: AsyncMoc
         scope="user_123",
     )
     session = AgentSession(session_id="test-session")
-    ctx = SessionContext(input_messages=[Message(role="user", text="hi")], session_id="s1")
-    ctx._response = AgentResponse(messages=[Message(role="assistant", text="hey")])
+    ctx = SessionContext(input_messages=[Message(role="user", contents=["hi"])], session_id="s1")
+    ctx._response = AgentResponse(messages=[Message(role="assistant", contents=["hey"])])
 
     # Should not raise exception
     await provider.after_run(  # type: ignore[arg-type]
diff --git a/python/packages/foundry_local/pyproject.toml b/python/packages/foundry_local/pyproject.toml
index f43d6f2fde..1ee093516a 100644
--- a/python/packages/foundry_local/pyproject.toml
+++ b/python/packages/foundry_local/pyproject.toml
@@ -4,7 +4,7 @@ description = "Foundry Local integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,8 +23,8 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
-    "agent-framework-openai>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-openai>=1.0.0,<2",
     "foundry-local-sdk>=0.5.1,<0.5.2",
 ]
 
diff --git a/python/packages/github_copilot/pyproject.toml b/python/packages/github_copilot/pyproject.toml
index 5bcb2d3d8a..aecdaa02f9 100644
--- a/python/packages/github_copilot/pyproject.toml
+++ b/python/packages/github_copilot/pyproject.toml
@@ -4,7 +4,7 @@ description = "GitHub Copilot integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "github-copilot-sdk>=0.1.31,<0.1.33; python_version >= '3.11'",
 ]
 
diff --git a/python/packages/lab/pyproject.toml b/python/packages/lab/pyproject.toml
index 07ae248d0b..d7a15aac4a 100644
--- a/python/packages/lab/pyproject.toml
+++ b/python/packages/lab/pyproject.toml
@@ -4,7 +4,7 @@ description = "Experimental modules for Microsoft Agent Framework"
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,18 +22,18 @@ classifiers = [
   "Programming Language :: Python :: 3.14",
 ]
 dependencies = [
-  "agent-framework-core>=1.0.0rc6",
+  "agent-framework-core>=1.0.0,<2",
 ]
 
 [project.optional-dependencies]
 # GAIA benchmark module dependencies
- gaia = [
-   "pydantic>=2.0.0",
-   "opentelemetry-api>=1.39.0",
-   "opentelemetry-sdk>=1.39.0,<2",
-   "tqdm>=4.60.0",
-   "huggingface-hub>=0.20.0",
-   "orjson>=3.10.7,<4",
+gaia = [
+  "pydantic>=2.0.0",
+  "opentelemetry-api>=1.39.0",
+  "opentelemetry-sdk>=1.39.0,<2",
+  "tqdm>=4.60.0",
+  "huggingface-hub>=0.20.0",
+  "orjson>=3.10.7,<4",
   "pyarrow>=18.0.0",  # For reading parquet files
 ]
 
@@ -57,19 +57,19 @@ math = [
 
 [dependency-groups]
 dev = [
-    "uv==0.10.9",
-    "ruff==0.15.5",
+    "uv==0.11.3",
+    "ruff==0.15.8",
     "pytest==9.0.2",
-    "mypy==1.19.1",
+    "mypy==1.20.0",
     "pyright==1.1.408",
     #tasks
     "poethepoet==0.42.1",
-    "rich==13.7.1",
-    "tomli==2.4.0",
+    "rich>=13.7.1,<15.0.0",
+    "tomli==2.4.1",
     "tomli-w==1.2.0",
     # tau2 from source (not available on PyPI)
     "tau2@ git+https://github.com/sierra-research/tau2-bench@5ba9e3e56db57c5e4114bf7f901291f09b2c5619",
-    "prek==0.3.4",
+    "prek==0.3.8",
 ]
 
 [project.scripts]
diff --git a/python/packages/lab/tau2/agent_framework_lab_tau2/runner.py b/python/packages/lab/tau2/agent_framework_lab_tau2/runner.py
index 6f3faf17c6..b78131db66 100644
--- a/python/packages/lab/tau2/agent_framework_lab_tau2/runner.py
+++ b/python/packages/lab/tau2/agent_framework_lab_tau2/runner.py
@@ -353,11 +353,11 @@ class TaskRunner:
         # Matches tau2's expected conversation start pattern
         logger.info(f"Starting workflow with hardcoded greeting: '{DEFAULT_FIRST_AGENT_MESSAGE}'")
 
-        first_message = Message(role="assistant", text=DEFAULT_FIRST_AGENT_MESSAGE)
+        first_message = Message(role="assistant", contents=[DEFAULT_FIRST_AGENT_MESSAGE])
         initial_greeting = AgentExecutorResponse(
             executor_id=ASSISTANT_AGENT_ID,
             agent_response=AgentResponse(messages=[first_message]),
-            full_conversation=[Message(role="assistant", text=DEFAULT_FIRST_AGENT_MESSAGE)],
+            full_conversation=[Message(role="assistant", contents=[DEFAULT_FIRST_AGENT_MESSAGE])],
         )
 
         # STEP 4: Execute the workflow and collect results
diff --git a/python/packages/mem0/agent_framework_mem0/_context_provider.py b/python/packages/mem0/agent_framework_mem0/_context_provider.py
index 6aef321b15..c6be708990 100644
--- a/python/packages/mem0/agent_framework_mem0/_context_provider.py
+++ b/python/packages/mem0/agent_framework_mem0/_context_provider.py
@@ -131,7 +131,7 @@ class Mem0ContextProvider(ContextProvider):
         if line_separated_memories:
             context.extend_messages(
                 self.source_id,
-                [Message(role="user", text=f"{self.context_prompt}\n{line_separated_memories}")],
+                [Message(role="user", contents=[f"{self.context_prompt}\n{line_separated_memories}"])],
             )
 
     async def after_run(
diff --git a/python/packages/mem0/pyproject.toml b/python/packages/mem0/pyproject.toml
index 46748866ae..7995afada6 100644
--- a/python/packages/mem0/pyproject.toml
+++ b/python/packages/mem0/pyproject.toml
@@ -4,7 +4,7 @@ description = "Mem0 integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "mem0ai>=1.0.0,<2",
 ]
 
diff --git a/python/packages/mem0/tests/test_mem0_context_provider.py b/python/packages/mem0/tests/test_mem0_context_provider.py
index 2a63d48c4e..bf40577878 100644
--- a/python/packages/mem0/tests/test_mem0_context_provider.py
+++ b/python/packages/mem0/tests/test_mem0_context_provider.py
@@ -94,7 +94,7 @@ class TestBeforeRun:
         ]
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_mem0_client, user_id="u1")
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="Hello")], session_id="s1")
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["Hello"])], session_id="s1")
 
         await provider.before_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -112,7 +112,7 @@ class TestBeforeRun:
         """Empty input messages → no search performed."""
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_mem0_client, user_id="u1")
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="")], session_id="s1")
+        ctx = SessionContext(input_messages=[Message(role="user", contents=[""])], session_id="s1")
 
         await provider.before_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -126,7 +126,7 @@ class TestBeforeRun:
         mock_mem0_client.search.return_value = []
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_mem0_client, user_id="u1")
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="test")], session_id="s1")
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["test"])], session_id="s1")
 
         await provider.before_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -138,7 +138,7 @@ class TestBeforeRun:
         """Raises ValueError when no filters."""
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_mem0_client)
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="test")], session_id="s1")
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["test"])], session_id="s1")
 
         with pytest.raises(ValueError, match="At least one of the filters"):
             await provider.before_run(agent=None, session=session, context=ctx, state=session.state)  # type: ignore[arg-type]
@@ -148,7 +148,7 @@ class TestBeforeRun:
         mock_mem0_client.search.return_value = {"results": [{"memory": "remembered fact"}]}
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_mem0_client, user_id="u1")
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="test")], session_id="s1")
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["test"])], session_id="s1")
 
         await provider.before_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -164,8 +164,8 @@ class TestBeforeRun:
         session = AgentSession(session_id="test-session")
         ctx = SessionContext(
             input_messages=[
-                Message(role="user", text="Hello"),
-                Message(role="user", text="World"),
+                Message(role="user", contents=["Hello"]),
+                Message(role="user", contents=["World"]),
             ],
             session_id="s1",
         )
@@ -182,7 +182,7 @@ class TestBeforeRun:
         mock_oss_mem0_client.search.return_value = [{"memory": "User likes Python"}]
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_oss_mem0_client, user_id="u1")
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="Hello")], session_id="s1")
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["Hello"])], session_id="s1")
 
         await provider.before_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -200,7 +200,7 @@ class TestBeforeRun:
             source_id="mem0", mem0_client=mock_oss_mem0_client, user_id="u1", agent_id="a1", application_id="app1"
         )
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="Hello")], session_id="s1")
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["Hello"])], session_id="s1")
 
         await provider.before_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -216,7 +216,7 @@ class TestBeforeRun:
         mock_mem0_client.search.return_value = []
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_mem0_client, user_id="u1")
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="Hello")], session_id="s1")
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["Hello"])], session_id="s1")
 
         await provider.before_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -238,8 +238,8 @@ class TestAfterRun:
         """Stores input+response messages to mem0 via client.add."""
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_mem0_client, user_id="u1")
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="question")], session_id="s1")
-        ctx._response = AgentResponse(messages=[Message(role="assistant", text="answer")])
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["question"])], session_id="s1")
+        ctx._response = AgentResponse(messages=[Message(role="assistant", contents=["answer"])])
 
         await provider.after_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -260,12 +260,12 @@ class TestAfterRun:
         session = AgentSession(session_id="test-session")
         ctx = SessionContext(
             input_messages=[
-                Message(role="user", text="hello"),
-                Message(role="tool", text="tool output"),
+                Message(role="user", contents=["hello"]),
+                Message(role="tool", contents=["tool output"]),
             ],
             session_id="s1",
         )
-        ctx._response = AgentResponse(messages=[Message(role="assistant", text="reply")])
+        ctx._response = AgentResponse(messages=[Message(role="assistant", contents=["reply"])])
 
         await provider.after_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -282,8 +282,8 @@ class TestAfterRun:
         session = AgentSession(session_id="test-session")
         ctx = SessionContext(
             input_messages=[
-                Message(role="user", text=""),
-                Message(role="user", text="   "),
+                Message(role="user", contents=[""]),
+                Message(role="user", contents=["   "]),
             ],
             session_id="s1",
         )
@@ -299,8 +299,8 @@ class TestAfterRun:
         """run_id is not passed to mem0 add, so memories are not scoped to sessions."""
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_mem0_client, user_id="u1")
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="hi")], session_id="my-session")
-        ctx._response = AgentResponse(messages=[Message(role="assistant", text="hey")])
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["hi"])], session_id="my-session")
+        ctx._response = AgentResponse(messages=[Message(role="assistant", contents=["hey"])])
 
         await provider.after_run(
             agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {})
@@ -312,8 +312,8 @@ class TestAfterRun:
         """Raises ValueError when no filters."""
         provider = Mem0ContextProvider(source_id="mem0", mem0_client=mock_mem0_client)
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="hi")], session_id="s1")
-        ctx._response = AgentResponse(messages=[Message(role="assistant", text="hey")])
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["hi"])], session_id="s1")
+        ctx._response = AgentResponse(messages=[Message(role="assistant", contents=["hey"])])
 
         with pytest.raises(ValueError, match="At least one of the filters"):
             await provider.after_run(agent=None, session=session, context=ctx, state=session.state)  # type: ignore[arg-type]
@@ -324,7 +324,7 @@ class TestAfterRun:
             source_id="mem0", mem0_client=mock_mem0_client, user_id="u1", application_id="app1"
         )
         session = AgentSession(session_id="test-session")
-        ctx = SessionContext(input_messages=[Message(role="user", text="hi")], session_id="s1")
+        ctx = SessionContext(input_messages=[Message(role="user", contents=["hi"])], session_id="s1")
         ctx._response = AgentResponse(messages=[])
 
         await provider.after_run(
diff --git a/python/packages/ollama/pyproject.toml b/python/packages/ollama/pyproject.toml
index b10ea2706f..dd18f2d14b 100644
--- a/python/packages/ollama/pyproject.toml
+++ b/python/packages/ollama/pyproject.toml
@@ -4,7 +4,7 @@ description = "Ollama integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://learn.microsoft.com/en-us/agent-framework/"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "ollama>=0.5.3,<0.5.4",
 ]
 
diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py
index 34bb3efdfb..5e0daea0f5 100644
--- a/python/packages/ollama/tests/test_ollama_chat_client.py
+++ b/python/packages/ollama/tests/test_ollama_chat_client.py
@@ -239,8 +239,8 @@ async def test_cmc(
     mock_chat_completion_response: AsyncStream[OllamaChatResponse],
 ) -> None:
     mock_chat.return_value = mock_chat_completion_response
-    chat_history.append(Message(text="hello world", role="system"))
-    chat_history.append(Message(text="hello world", role="user"))
+    chat_history.append(Message(contents=["hello world"], role="system"))
+    chat_history.append(Message(contents=["hello world"], role="user"))
 
     ollama_client = OllamaChatClient()
     result = await ollama_client.get_response(messages=chat_history)
@@ -261,8 +261,8 @@ async def test_cmc_response_format_dict(
         prompt_eval_count=1,
         created_at="2024-01-01T00:00:00Z",
     )
-    chat_history.append(Message(text="hello world", role="system"))
-    chat_history.append(Message(text="hello world", role="user"))
+    chat_history.append(Message(contents=["hello world"], role="system"))
+    chat_history.append(Message(contents=["hello world"], role="user"))
 
     ollama_client = OllamaChatClient()
     result = await ollama_client.get_response(
@@ -283,7 +283,7 @@ async def test_cmc_reasoning(
     mock_chat_completion_response_reasoning: AsyncStream[OllamaChatResponse],
 ) -> None:
     mock_chat.return_value = mock_chat_completion_response_reasoning
-    chat_history.append(Message(text="hello world", role="user"))
+    chat_history.append(Message(contents=["hello world"], role="user"))
 
     ollama_client = OllamaChatClient()
     result = await ollama_client.get_response(messages=chat_history)
@@ -300,7 +300,7 @@ async def test_cmc_chat_failure(
 ) -> None:
     # Simulate a failure in the Ollama client
     mock_chat.side_effect = Exception("Connection error")
-    chat_history.append(Message(text="hello world", role="user"))
+    chat_history.append(Message(contents=["hello world"], role="user"))
 
     ollama_client = OllamaChatClient()
 
@@ -319,8 +319,8 @@ async def test_cmc_streaming(
     mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse],
 ) -> None:
     mock_chat.return_value = mock_streaming_chat_completion_response
-    chat_history.append(Message(text="hello world", role="system"))
-    chat_history.append(Message(text="hello world", role="user"))
+    chat_history.append(Message(contents=["hello world"], role="system"))
+    chat_history.append(Message(contents=["hello world"], role="user"))
 
     ollama_client = OllamaChatClient()
     result = ollama_client.get_response(messages=chat_history, stream=True)
@@ -337,7 +337,7 @@ async def test_cmc_streaming_reasoning(
     mock_streaming_chat_completion_response_reasoning: AsyncStream[OllamaChatResponse],
 ) -> None:
     mock_chat.return_value = mock_streaming_chat_completion_response_reasoning
-    chat_history.append(Message(text="hello world", role="user"))
+    chat_history.append(Message(contents=["hello world"], role="user"))
 
     ollama_client = OllamaChatClient()
     result = ollama_client.get_response(messages=chat_history, stream=True)
@@ -355,7 +355,7 @@ async def test_cmc_streaming_chat_failure(
 ) -> None:
     # Simulate a failure in the Ollama client for streaming
     mock_chat.side_effect = Exception("Streaming connection error")
-    chat_history.append(Message(text="hello world", role="user"))
+    chat_history.append(Message(contents=["hello world"], role="user"))
 
     ollama_client = OllamaChatClient()
 
@@ -380,7 +380,7 @@ async def test_cmc_streaming_with_tool_call(
         mock_streaming_chat_completion_response,
     ]
 
-    chat_history.append(Message(text="hello world", role="user"))
+    chat_history.append(Message(contents=["hello world"], role="user"))
 
     ollama_client = OllamaChatClient()
     result = ollama_client.get_response(messages=chat_history, stream=True, options={"tools": [hello_world]})
@@ -411,7 +411,7 @@ async def test_cmc_with_dict_tool_passthrough(
 ) -> None:
     """Test that dict-based tools are passed through to Ollama."""
     mock_chat.return_value = mock_chat_completion_response
-    chat_history.append(Message(text="hello world", role="user"))
+    chat_history.append(Message(contents=["hello world"], role="user"))
 
     ollama_client = OllamaChatClient()
     await ollama_client.get_response(
@@ -500,7 +500,7 @@ async def test_cmc_with_invalid_content_type(
 async def test_cmc_integration_with_tool_call(
     chat_history: list[Message],
 ) -> None:
-    chat_history.append(Message(text="Call the hello world function and repeat what it says", role="user"))
+    chat_history.append(Message(contents=["Call the hello world function and repeat what it says"], role="user"))
 
     ollama_client = OllamaChatClient()
     result = await ollama_client.get_response(messages=chat_history, options={"tools": [hello_world]})
@@ -517,7 +517,7 @@ async def test_cmc_integration_with_tool_call(
 async def test_cmc_integration_with_chat_completion(
     chat_history: list[Message],
 ) -> None:
-    chat_history.append(Message(text="Say Hello World", role="user"))
+    chat_history.append(Message(contents=["Say Hello World"], role="user"))
 
     ollama_client = OllamaChatClient()
     result = await ollama_client.get_response(messages=chat_history)
@@ -531,7 +531,7 @@ async def test_cmc_integration_with_chat_completion(
 async def test_cmc_streaming_integration_with_tool_call(
     chat_history: list[Message],
 ) -> None:
-    chat_history.append(Message(text="Call the hello world function and repeat what it says", role="user"))
+    chat_history.append(Message(contents=["Call the hello world function and repeat what it says"], role="user"))
 
     ollama_client = OllamaChatClient()
     result: AsyncIterable[ChatResponseUpdate] = ollama_client.get_response(
@@ -558,7 +558,7 @@ async def test_cmc_streaming_integration_with_tool_call(
 async def test_cmc_streaming_integration_with_chat_completion(
     chat_history: list[Message],
 ) -> None:
-    chat_history.append(Message(text="Say Hello World", role="user"))
+    chat_history.append(Message(contents=["Say Hello World"], role="user"))
 
     ollama_client = OllamaChatClient()
     result: AsyncIterable[ChatResponseUpdate] = ollama_client.get_response(messages=chat_history, stream=True)
diff --git a/python/packages/openai/README.md b/python/packages/openai/README.md
index 185e528d8b..d517c4e1d1 100644
--- a/python/packages/openai/README.md
+++ b/python/packages/openai/README.md
@@ -11,7 +11,7 @@ This package provides:
 ## Installation
 
 ```bash
-pip install agent-framework-openai --pre
+pip install agent-framework-openai
 ```
 
 ## Which chat client should I use?
diff --git a/python/packages/openai/pyproject.toml b/python/packages/openai/pyproject.toml
index 7d257ef7f1..2e2cef12ad 100644
--- a/python/packages/openai/pyproject.toml
+++ b/python/packages/openai/pyproject.toml
@@ -4,7 +4,7 @@ description = "OpenAI integrations for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0rc6"
+version = "1.0.0"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -12,7 +12,7 @@ urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=ta
 urls.issues = "https://github.com/microsoft/agent-framework/issues"
 classifiers = [
   "License :: OSI Approved :: MIT License",
-  "Development Status :: 4 - Beta",
+  "Development Status :: 5 - Production/Stable",
   "Intended Audience :: Developers",
   "Programming Language :: Python :: 3",
   "Programming Language :: Python :: 3.10",
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "openai>=1.99.0,<3",
 ]
 
diff --git a/python/packages/openai/tests/openai/test_openai_chat_client.py b/python/packages/openai/tests/openai/test_openai_chat_client.py
index b1ed7973f2..8c91048284 100644
--- a/python/packages/openai/tests/openai/test_openai_chat_client.py
+++ b/python/packages/openai/tests/openai/test_openai_chat_client.py
@@ -255,7 +255,7 @@ async def test_get_response_with_all_parameters() -> None:
     """Test request preparation with a comprehensive parameter set."""
     client = OpenAIChatClient(model="test-model", api_key="test-key")
     _, run_options, _ = await client._prepare_request(
-        messages=[Message(role="user", text="Test message")],
+        messages=[Message(role="user", contents=["Test message"])],
         options={
             "include": ["message.output_text.logprobs"],
             "instructions": "You are a helpful assistant",
@@ -320,7 +320,7 @@ async def test_web_search_tool_with_location() -> None:
     )
 
     _, run_options, _ = await client._prepare_request(
-        messages=[Message(role="user", text="What's the weather?")],
+        messages=[Message(role="user", contents=["What's the weather?"])],
         options={"tools": [web_search_tool], "tool_choice": "auto"},
     )
 
@@ -346,7 +346,7 @@ async def test_code_interpreter_tool_variations() -> None:
     code_tool_with_files = OpenAIChatClient.get_code_interpreter_tool(file_ids=["file1", "file2"])
 
     _, run_options, _ = await client._prepare_request(
-        messages=[Message(role="user", text="Process these files")],
+        messages=[Message(role="user", contents=["Process these files"])],
         options={"tools": [code_tool_with_files]},
     )
 
@@ -367,7 +367,7 @@ async def test_content_filter_exception() -> None:
 
     with patch.object(client.client.responses, "create", side_effect=mock_error):
         with pytest.raises(OpenAIContentFilterException) as exc_info:
-            await client.get_response(messages=[Message(role="user", text="Test message")])
+            await client.get_response(messages=[Message(role="user", contents=["Test message"])])
 
         assert "content error" in str(exc_info.value)
 
@@ -404,7 +404,7 @@ async def test_chat_message_parsing_with_function_calls() -> None:
     function_result = Content.from_function_result(call_id="test-call-id", result="Function executed successfully")
 
     messages = [
-        Message(role="user", text="Call a function"),
+        Message(role="user", contents=["Call a function"]),
         Message(role="assistant", contents=[function_call]),
         Message(role="tool", contents=[function_result]),
     ]
@@ -450,7 +450,7 @@ async def test_response_format_parse_path() -> None:
 
     with patch.object(client.client.responses, "parse", return_value=mock_parsed_response):
         response = await client.get_response(
-            messages=[Message(role="user", text="Test message")],
+            messages=[Message(role="user", contents=["Test message"])],
             options={"response_format": OutputStruct, "store": True},
         )
         assert response.response_id == "parsed_response_123"
@@ -477,7 +477,7 @@ async def test_response_format_parse_path_with_conversation_id() -> None:
 
     with patch.object(client.client.responses, "parse", return_value=mock_parsed_response):
         response = await client.get_response(
-            messages=[Message(role="user", text="Test message")],
+            messages=[Message(role="user", contents=["Test message"])],
             options={"response_format": OutputStruct, "store": True},
         )
         assert response.response_id == "parsed_response_123"
@@ -515,7 +515,7 @@ async def test_response_format_dict_parse_path() -> None:
 
     with patch.object(client.client.responses, "create", return_value=mock_response):
         response = await client.get_response(
-            messages=[Message(role="user", text="Test message")],
+            messages=[Message(role="user", contents=["Test message"])],
             options={"response_format": response_format},
         )
 
@@ -540,7 +540,7 @@ async def test_bad_request_error_non_content_filter() -> None:
     with patch.object(client.client.responses, "parse", side_effect=mock_error):
         with pytest.raises(ChatClientException) as exc_info:
             await client.get_response(
-                messages=[Message(role="user", text="Test message")],
+                messages=[Message(role="user", contents=["Test message"])],
                 options={"response_format": OutputStruct},
             )
 
@@ -561,7 +561,7 @@ async def test_streaming_content_filter_exception_handling() -> None:
         mock_create.side_effect.code = "content_filter"
 
         with pytest.raises(OpenAIContentFilterException, match="service encountered a content error"):
-            response_stream = client.get_response(stream=True, messages=[Message(role="user", text="Test")])
+            response_stream = client.get_response(stream=True, messages=[Message(role="user", contents=["Test"])])
             async for _ in response_stream:
                 break
 
@@ -926,7 +926,7 @@ async def test_local_shell_tool_is_invoked_in_function_loop() -> None:
 
     with patch.object(client.client.responses, "create", side_effect=[mock_response1, mock_response2]) as mock_create:
         await client.get_response(
-            messages=[Message(role="user", text="What Python version is available?")],
+            messages=[Message(role="user", contents=["What Python version is available?"])],
             options={"tools": [local_shell_tool]},
         )
 
@@ -999,7 +999,7 @@ async def test_shell_call_is_invoked_as_local_shell_function_loop() -> None:
 
     with patch.object(client.client.responses, "create", side_effect=[mock_response1, mock_response2]) as mock_create:
         await client.get_response(
-            messages=[Message(role="user", text="What Python version is available?")],
+            messages=[Message(role="user", contents=["What Python version is available?"])],
             options={"tools": [local_shell_tool]},
         )
 
@@ -1264,8 +1264,8 @@ def test_prepare_messages_for_openai_assistant_history_uses_output_text_with_ann
     client = OpenAIChatClient(model="test-model", api_key="test-key")
 
     messages = [
-        Message(role="user", text="What is async/await?"),
-        Message(role="assistant", text="Async/await enables non-blocking concurrency."),
+        Message(role="user", contents=["What is async/await?"]),
+        Message(role="assistant", contents=["Async/await enables non-blocking concurrency."]),
     ]
 
     prepared = client._prepare_messages_for_openai(messages)
@@ -2263,7 +2263,7 @@ async def test_end_to_end_mcp_approval_flow(span_exporter) -> None:
     # Patch the create call to return the two mocked responses in sequence
     with patch.object(client.client.responses, "create", side_effect=[mock_response1, mock_response2]) as mock_create:
         # First call: get the approval request
-        response = await client.get_response(messages=[Message(role="user", text="Trigger approval")])
+        response = await client.get_response(messages=[Message(role="user", contents=["Trigger approval"])])
         assert response.messages[0].contents[0].type == "function_approval_request"
         req = response.messages[0].contents[0]
         assert req.id == "approval-1"
@@ -2515,7 +2515,7 @@ def test_streaming_annotation_added_with_unknown_type() -> None:
 async def test_service_response_exception_includes_original_error_details() -> None:
     """Test that ChatClientException messages include original error details in the new format."""
     client = OpenAIChatClient(model="test-model", api_key="test-key")
-    messages = [Message(role="user", text="test message")]
+    messages = [Message(role="user", contents=["test message"])]
 
     mock_response = MagicMock()
     original_error_message = "Request rate limit exceeded"
@@ -2540,7 +2540,7 @@ async def test_service_response_exception_includes_original_error_details() -> N
 async def test_get_response_streaming_with_response_format() -> None:
     """Test get_response streaming with response_format."""
     client = OpenAIChatClient(model="test-model", api_key="test-key")
-    messages = [Message(role="user", text="Test streaming with format")]
+    messages = [Message(role="user", contents=["Test streaming with format"])]
 
     # It will fail due to invalid API key, but exercises the code path
     with pytest.raises(ChatClientException):
@@ -3090,7 +3090,7 @@ def test_parse_response_from_openai_image_generation_fallback():
 
 async def test_prepare_options_store_parameter_handling() -> None:
     client = OpenAIChatClient(model="test-model", api_key="test-key")
-    messages = [Message(role="user", text="Test message")]
+    messages = [Message(role="user", contents=["Test message"])]
 
     test_conversation_id = "test-conversation-123"
     chat_options = ChatOptions(store=True, conversation_id=test_conversation_id)
@@ -3142,7 +3142,7 @@ async def test_instructions_sent_first_turn_then_skipped_for_continuation() -> N
 
     with patch.object(client.client.responses, "create", return_value=mock_response) as mock_create:
         await client.get_response(
-            messages=[Message(role="user", text="Hello")],
+            messages=[Message(role="user", contents=["Hello"])],
             options={"instructions": "Reply in uppercase."},
         )
 
@@ -3153,7 +3153,7 @@ async def test_instructions_sent_first_turn_then_skipped_for_continuation() -> N
         assert first_input_messages[1]["role"] == "user"
 
         await client.get_response(
-            messages=[Message(role="user", text="Tell me a joke")],
+            messages=[Message(role="user", contents=["Tell me a joke"])],
             options={
                 "instructions": "Reply in uppercase.",
                 "conversation_id": "resp_123",
@@ -3175,7 +3175,7 @@ async def test_instructions_not_repeated_for_continuation_ids(
 
     with patch.object(client.client.responses, "create", return_value=mock_response) as mock_create:
         await client.get_response(
-            messages=[Message(role="user", text="Continue conversation")],
+            messages=[Message(role="user", contents=["Continue conversation"])],
             options={"instructions": "Be helpful.", "conversation_id": conversation_id},
         )
 
@@ -3191,7 +3191,7 @@ async def test_instructions_included_without_conversation_id() -> None:
 
     with patch.object(client.client.responses, "create", return_value=mock_response) as mock_create:
         await client.get_response(
-            messages=[Message(role="user", text="Hello")],
+            messages=[Message(role="user", contents=["Hello"])],
             options={"instructions": "You are a helpful assistant."},
         )
 
@@ -3300,14 +3300,14 @@ async def test_integration_options(
     # Prepare test message
     if option_name.startswith("tools") or option_name.startswith("tool_choice"):
         # Use weather-related prompt for tool tests
-        messages = [Message(role="user", text="What is the weather in Seattle?")]
+        messages = [Message(role="user", contents=["What is the weather in Seattle?"])]
     elif option_name.startswith("response_format"):
         # Use prompt that works well with structured output
-        messages = [Message(role="user", text="The weather in Seattle is sunny")]
-        messages.append(Message(role="user", text="What is the weather in Seattle?"))
+        messages = [Message(role="user", contents=["The weather in Seattle is sunny"])]
+        messages.append(Message(role="user", contents=["What is the weather in Seattle?"]))
     else:
         # Generic prompt for simple options
-        messages = [Message(role="user", text="Say 'Hello World' briefly.")]
+        messages = [Message(role="user", contents=["Say 'Hello World' briefly."])]
 
     # Build options dict
     options: dict[str, Any] = {option_name: option_value}
@@ -3358,7 +3358,7 @@ async def test_integration_web_search() -> None:
         "messages": [
             Message(
                 role="user",
-                text="What is the current weather? Do not ask for my current location.",
+                contents=["What is the current weather? Do not ask for my current location."],
             )
         ],
         "options": {
@@ -3390,7 +3390,7 @@ async def test_integration_file_search() -> None:
         messages=[
             Message(
                 role="user",
-                text="What is the weather today? Do a file search to find the answer.",
+                contents=["What is the weather today? Do a file search to find the answer."],
             )
         ],
         options={
@@ -3424,7 +3424,7 @@ async def test_integration_streaming_file_search() -> None:
         messages=[
             Message(
                 role="user",
-                text="What is the weather today? Do a file search to find the answer.",
+                contents=["What is the weather today? Do a file search to find the answer."],
             )
         ],
         options={
@@ -3468,7 +3468,7 @@ async def test_integration_tool_rich_content_image() -> None:
         messages = [
             Message(
                 role="user",
-                text="Call the get_test_image tool and describe what you see.",
+                contents=["Call the get_test_image tool and describe what you see."],
             )
         ]
         options: dict[str, Any] = {"tools": [get_test_image], "tool_choice": "auto"}
diff --git a/python/packages/openai/tests/openai/test_openai_chat_client_azure.py b/python/packages/openai/tests/openai/test_openai_chat_client_azure.py
index b101ed8df4..4bec80f6b7 100644
--- a/python/packages/openai/tests/openai/test_openai_chat_client_azure.py
+++ b/python/packages/openai/tests/openai/test_openai_chat_client_azure.py
@@ -285,14 +285,14 @@ async def test_integration_options(
 
         for streaming in [False, True]:
             if option_name in {"tools", "tool_choice"}:
-                messages = [Message(role="user", text="What is the weather in Seattle?")]
+                messages = [Message(role="user", contents=["What is the weather in Seattle?"])]
             elif option_name == "response_format":
                 messages = [
-                    Message(role="user", text="The weather in Seattle is sunny"),
-                    Message(role="user", text="What is the weather in Seattle?"),
+                    Message(role="user", contents=["The weather in Seattle is sunny"]),
+                    Message(role="user", contents=["What is the weather in Seattle?"]),
                 ]
             else:
-                messages = [Message(role="user", text="Say 'Hello World' briefly.")]
+                messages = [Message(role="user", contents=["Say 'Hello World' briefly."])]
 
             options: dict[str, Any] = {option_name: option_value}
             if option_name == "tool_choice":
@@ -339,7 +339,7 @@ async def test_integration_web_search() -> None:
             messages=[
                 Message(
                     role="user",
-                    text="What is the current weather? Do not ask for my current location.",
+                    contents=["What is the current weather? Do not ask for my current location."],
                 )
             ],
             options={
@@ -361,7 +361,9 @@ async def test_integration_client_file_search() -> None:
         file_id, vector_store = await create_vector_store(client)
         try:
             response = await client.get_response(
-                messages=[Message(role="user", text="What is the weather today? Do a file search to find the answer.")],
+                messages=[
+                    Message(role="user", contents=["What is the weather today? Do a file search to find the answer."])
+                ],
                 options={
                     "tools": [OpenAIChatClient.get_file_search_tool(vector_store_ids=[vector_store.vector_store_id])],
                     "tool_choice": "auto",
@@ -384,7 +386,9 @@ async def test_integration_client_file_search_streaming() -> None:
         file_id, vector_store = await create_vector_store(client)
         try:
             response_stream = client.get_response(
-                messages=[Message(role="user", text="What is the weather today? Do a file search to find the answer.")],
+                messages=[
+                    Message(role="user", contents=["What is the weather today? Do a file search to find the answer."])
+                ],
                 stream=True,
                 options={
                     "tools": [OpenAIChatClient.get_file_search_tool(vector_store_ids=[vector_store.vector_store_id])],
@@ -407,7 +411,7 @@ async def test_integration_client_agent_hosted_mcp_tool() -> None:
     async with AzureCliCredential() as credential:
         client = OpenAIChatClient(credential=credential)
         response = await client.get_response(
-            messages=[Message(role="user", text="How to create an Azure storage account using az cli?")],
+            messages=[Message(role="user", contents=["How to create an Azure storage account using az cli?"])],
             options={
                 "max_tokens": 5000,
                 "tools": OpenAIChatClient.get_mcp_tool(
@@ -432,7 +436,7 @@ async def test_integration_client_agent_hosted_code_interpreter_tool() -> None:
         client = OpenAIChatClient(credential=credential)
 
         response = await client.get_response(
-            messages=[Message(role="user", text="Calculate the sum of numbers from 1 to 10 using Python code.")],
+            messages=[Message(role="user", contents=["Calculate the sum of numbers from 1 to 10 using Python code."])],
             options={"tools": [OpenAIChatClient.get_code_interpreter_tool()]},
         )
 
@@ -496,7 +500,7 @@ async def test_azure_openai_chat_client_tool_rich_content_image() -> None:
         client.function_invocation_configuration["max_iterations"] = 2
 
         for streaming in [False, True]:
-            messages = [Message(role="user", text="Call the get_test_image tool and describe what you see.")]
+            messages = [Message(role="user", contents=["Call the get_test_image tool and describe what you see."])]
             options: dict[str, Any] = {"tools": [get_test_image], "tool_choice": "auto"}
 
             if streaming:
diff --git a/python/packages/openai/tests/openai/test_openai_chat_completion_client.py b/python/packages/openai/tests/openai/test_openai_chat_completion_client.py
index 053682eb32..c012433b08 100644
--- a/python/packages/openai/tests/openai/test_openai_chat_completion_client.py
+++ b/python/packages/openai/tests/openai/test_openai_chat_completion_client.py
@@ -196,7 +196,7 @@ async def test_content_filter_exception_handling(
 ) -> None:
     """Test that content filter errors are properly handled."""
     client = OpenAIChatCompletionClient()
-    messages = [Message(role="user", text="test message")]
+    messages = [Message(role="user", contents=["test message"])]
 
     # Create a mock BadRequestError with content_filter code
     mock_response = MagicMock()
@@ -271,7 +271,7 @@ async def test_mcp_tool_dict_causes_api_rejection(openai_unit_test_env: dict[str
     rather than a silent no-op.
     """
     client = OpenAIChatCompletionClient()
-    messages = [Message(role="user", text="test message")]
+    messages = [Message(role="user", contents=["test message"])]
 
     mcp_tool = {
         "type": "mcp",
@@ -331,7 +331,7 @@ def get_weather(location: str) -> str:
 async def test_exception_message_includes_original_error_details() -> None:
     """Test that exception messages include original error details in the new format."""
     client = OpenAIChatCompletionClient(model="test-model", api_key="test-key")
-    messages = [Message(role="user", text="test message")]
+    messages = [Message(role="user", contents=["test message"])]
 
     mock_response = MagicMock()
     original_error_message = "Invalid API request format"
@@ -1183,7 +1183,7 @@ def test_prepare_options_without_model(openai_unit_test_env: dict[str, str]) ->
     client = OpenAIChatCompletionClient()
     client.model = None  # Remove model
 
-    messages = [Message(role="user", text="test")]
+    messages = [Message(role="user", contents=["test"])]
 
     with pytest.raises(ValueError, match="model must be a non-empty string"):
         client._prepare_options(messages, {})
@@ -1221,7 +1221,7 @@ def test_prepare_options_with_instructions(
     """Test that instructions are prepended as system message."""
     client = OpenAIChatCompletionClient()
 
-    messages = [Message(role="user", text="Hello")]
+    messages = [Message(role="user", contents=["Hello"])]
     options = {"instructions": "You are a helpful assistant."}
 
     prepared_options = client._prepare_options(messages, options)
@@ -1244,8 +1244,8 @@ def test_prepare_options_with_instructions_no_duplicate(
 
     # Simulate messages that already contain the system instruction
     messages = [
-        Message(role="system", text="You are a helpful assistant."),
-        Message(role="user", text="Hello"),
+        Message(role="system", contents=["You are a helpful assistant."]),
+        Message(role="user", contents=["Hello"]),
     ]
     options = {"instructions": "You are a helpful assistant."}
 
@@ -1416,7 +1416,7 @@ def test_tool_choice_required_with_function_name(
     """Test that tool_choice with required mode and function name is correctly prepared."""
     client = OpenAIChatCompletionClient()
 
-    messages = [Message(role="user", text="test")]
+    messages = [Message(role="user", contents=["test"])]
     options = {
         "tools": [get_weather],
         "tool_choice": {"mode": "required", "required_function_name": "get_weather"},
@@ -1434,7 +1434,7 @@ def test_response_format_dict_passthrough(openai_unit_test_env: dict[str, str])
     """Test that response_format as dict is passed through directly."""
     client = OpenAIChatCompletionClient()
 
-    messages = [Message(role="user", text="test")]
+    messages = [Message(role="user", contents=["test"])]
     custom_format = {
         "type": "json_schema",
         "json_schema": {"name": "Test", "schema": {"type": "object"}},
@@ -1503,7 +1503,7 @@ def test_prepare_options_removes_parallel_tool_calls_when_no_tools(
     """Test that parallel_tool_calls is removed when no tools are present."""
     client = OpenAIChatCompletionClient()
 
-    messages = [Message(role="user", text="test")]
+    messages = [Message(role="user", contents=["test"])]
     options = {"allow_multiple_tool_calls": True}
 
     prepared_options = client._prepare_options(messages, options)
@@ -1516,7 +1516,7 @@ def test_prepare_options_excludes_conversation_id(openai_unit_test_env: dict[str
     """Test that conversation_id is excluded from prepared options for chat completions."""
     client = OpenAIChatCompletionClient()
 
-    messages = [Message(role="user", text="test")]
+    messages = [Message(role="user", contents=["test"])]
     options = {"conversation_id": "12345", "temperature": 0.7}
 
     prepared_options = client._prepare_options(messages, options)
@@ -1532,7 +1532,7 @@ async def test_streaming_exception_handling(
 ) -> None:
     """Test that streaming errors are properly handled."""
     client = OpenAIChatCompletionClient()
-    messages = [Message(role="user", text="test")]
+    messages = [Message(role="user", contents=["test"])]
 
     # Create a mock error during streaming
     mock_error = Exception("Streaming error")
@@ -1640,14 +1640,14 @@ async def test_integration_options(
     # Prepare test message
     if option_name.startswith("tools") or option_name.startswith("tool_choice"):
         # Use weather-related prompt for tool tests
-        messages = [Message(role="user", text="What is the weather in Seattle?")]
+        messages = [Message(role="user", contents=["What is the weather in Seattle?"])]
     elif option_name.startswith("response_format"):
         # Use prompt that works well with structured output
-        messages = [Message(role="user", text="The weather in Seattle is sunny")]
-        messages.append(Message(role="user", text="What is the weather in Seattle?"))
+        messages = [Message(role="user", contents=["The weather in Seattle is sunny"])]
+        messages.append(Message(role="user", contents=["What is the weather in Seattle?"]))
     else:
         # Generic prompt for simple options
-        messages = [Message(role="user", text="Say 'Hello World' briefly.")]
+        messages = [Message(role="user", contents=["Say 'Hello World' briefly."])]
 
     # Build options dict
     options: dict[str, Any] = {option_name: option_value}
@@ -1705,7 +1705,7 @@ async def test_integration_web_search() -> None:
             "messages": [
                 Message(
                     role="user",
-                    text="Who are the main characters of Kpop Demon Hunters? Do a web search to find the answer.",
+                    contents=["Who are the main characters of Kpop Demon Hunters? Do a web search to find the answer."],
                 )
             ],
             "options": {
@@ -1737,7 +1737,7 @@ async def test_integration_web_search() -> None:
             "messages": [
                 Message(
                     role="user",
-                    text="What is the current weather? Do not ask for my current location.",
+                    contents=["What is the current weather? Do not ask for my current location."],
                 )
             ],
             "options": {
diff --git a/python/packages/openai/tests/openai/test_openai_chat_completion_client_azure.py b/python/packages/openai/tests/openai/test_openai_chat_completion_client_azure.py
index a343ed80dd..b650a3bd50 100644
--- a/python/packages/openai/tests/openai/test_openai_chat_completion_client_azure.py
+++ b/python/packages/openai/tests/openai/test_openai_chat_completion_client_azure.py
@@ -195,14 +195,16 @@ async def test_azure_openai_chat_completion_client_response() -> None:
         messages = [
             Message(
                 role="user",
-                text=(
-                    "Emily and David, two passionate scientists, met during a research expedition to Antarctica. "
-                    "Bonded by their love for the natural world and shared curiosity, they uncovered a "
-                    "groundbreaking phenomenon in glaciology that could potentially reshape our understanding "
-                    "of climate change."
-                ),
+                contents=[
+                    (
+                        "Emily and David, two passionate scientists, met during a research expedition to Antarctica. "
+                        "Bonded by their love for the natural world and shared curiosity, they uncovered a "
+                        "groundbreaking phenomenon in glaciology that could potentially reshape our understanding "
+                        "of climate change."
+                    )
+                ],
             ),
-            Message(role="user", text="who are Emily and David?"),
+            Message(role="user", contents=["who are Emily and David?"]),
         ]
 
         response = await client.get_response(messages=messages)
@@ -223,7 +225,7 @@ async def test_azure_openai_chat_completion_client_response_tools() -> None:
         client = OpenAIChatCompletionClient(credential=credential)
 
         response = await client.get_response(
-            messages=[Message(role="user", text="who are Emily and David?")],
+            messages=[Message(role="user", contents=["who are Emily and David?"])],
             options={"tools": [get_story_text], "tool_choice": "auto"},
         )
 
@@ -244,14 +246,16 @@ async def test_azure_openai_chat_completion_client_streaming() -> None:
             messages=[
                 Message(
                     role="user",
-                    text=(
-                        "Emily and David, two passionate scientists, met during a research expedition to Antarctica. "
-                        "Bonded by their love for the natural world and shared curiosity, they uncovered a "
-                        "groundbreaking phenomenon in glaciology that could potentially reshape our understanding "
-                        "of climate change."
-                    ),
+                    contents=[
+                        (
+                            "Emily and David, two passionate scientists, met during a research expedition to "
+                            "Antarctica. Bonded by their love for the natural world and shared curiosity, they "
+                            "uncovered a groundbreaking phenomenon in glaciology that could potentially reshape our "
+                            "understanding of climate change."
+                        )
+                    ],
                 ),
-                Message(role="user", text="who are Emily and David?"),
+                Message(role="user", contents=["who are Emily and David?"]),
             ],
             stream=True,
         )
@@ -277,7 +281,7 @@ async def test_azure_openai_chat_completion_client_streaming_tools() -> None:
         client = OpenAIChatCompletionClient(credential=credential)
 
         response = client.get_response(
-            messages=[Message(role="user", text="who are Emily and David?")],
+            messages=[Message(role="user", contents=["who are Emily and David?"])],
             stream=True,
             options={"tools": [get_story_text], "tool_choice": "auto"},
         )
diff --git a/python/packages/openai/tests/openai/test_openai_chat_completion_client_base.py b/python/packages/openai/tests/openai/test_openai_chat_completion_client_base.py
index 76d11d1dbd..1f25762105 100644
--- a/python/packages/openai/tests/openai/test_openai_chat_completion_client_base.py
+++ b/python/packages/openai/tests/openai/test_openai_chat_completion_client_base.py
@@ -67,7 +67,7 @@ async def test_cmc(
     openai_unit_test_env: dict[str, str],
 ):
     mock_create.return_value = mock_chat_completion_response
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
 
     openai_chat_completion = OpenAIChatCompletionClient()
     await openai_chat_completion.get_response(messages=chat_history)
@@ -86,7 +86,7 @@ async def test_cmc_chat_options(
     openai_unit_test_env: dict[str, str],
 ):
     mock_create.return_value = mock_chat_completion_response
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
 
     openai_chat_completion = OpenAIChatCompletionClient()
     await openai_chat_completion.get_response(
@@ -107,7 +107,7 @@ async def test_cmc_no_fcc_in_response(
     openai_unit_test_env: dict[str, str],
 ):
     mock_create.return_value = mock_chat_completion_response
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
     orig_chat_history = deepcopy(chat_history)
 
     openai_chat_completion = OpenAIChatCompletionClient()
@@ -129,7 +129,7 @@ async def test_cmc_structured_output_no_fcc(
     openai_unit_test_env: dict[str, str],
 ):
     mock_create.return_value = mock_chat_completion_response
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
 
     # Define a mock response format
     class Test(BaseModel):
@@ -151,7 +151,7 @@ async def test_scmc_chat_options(
     openai_unit_test_env: dict[str, str],
 ):
     mock_create.return_value = mock_streaming_chat_completion_response
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
 
     openai_chat_completion = OpenAIChatCompletionClient()
     async for msg in openai_chat_completion.get_response(
@@ -177,7 +177,7 @@ async def test_cmc_general_exception(
     openai_unit_test_env: dict[str, str],
 ):
     mock_create.return_value = mock_chat_completion_response
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
 
     openai_chat_completion = OpenAIChatCompletionClient()
     with pytest.raises(ChatClientException):
@@ -194,7 +194,7 @@ async def test_cmc_additional_properties(
     openai_unit_test_env: dict[str, str],
 ):
     mock_create.return_value = mock_chat_completion_response
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
 
     openai_chat_completion = OpenAIChatCompletionClient()
     await openai_chat_completion.get_response(messages=chat_history, options={"reasoning_effort": "low"})
@@ -232,7 +232,7 @@ async def test_get_streaming(
     stream = MagicMock(spec=AsyncStream)
     stream.__aiter__.return_value = [content1, content2]
     mock_create.return_value = stream
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
     orig_chat_history = deepcopy(chat_history)
 
     openai_chat_completion = OpenAIChatCompletionClient()
@@ -272,7 +272,7 @@ async def test_get_streaming_singular(
     stream = MagicMock(spec=AsyncStream)
     stream.__aiter__.return_value = [content1, content2]
     mock_create.return_value = stream
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
     orig_chat_history = deepcopy(chat_history)
 
     openai_chat_completion = OpenAIChatCompletionClient()
@@ -312,7 +312,7 @@ async def test_get_streaming_structured_output_no_fcc(
     stream = MagicMock(spec=AsyncStream)
     stream.__aiter__.return_value = [content1, content2]
     mock_create.return_value = stream
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
 
     # Define a mock response format
     class Test(BaseModel):
@@ -336,7 +336,7 @@ async def test_get_streaming_no_fcc_in_response(
     openai_unit_test_env: dict[str, str],
 ):
     mock_create.return_value = mock_streaming_chat_completion_response
-    chat_history.append(Message(role="user", text="hello world"))
+    chat_history.append(Message(role="user", contents=["hello world"]))
     orig_chat_history = deepcopy(chat_history)
 
     openai_chat_completion = OpenAIChatCompletionClient()
diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_base_group_chat_orchestrator.py b/python/packages/orchestrations/agent_framework_orchestrations/_base_group_chat_orchestrator.py
index f01f3700f7..86c85cc079 100644
--- a/python/packages/orchestrations/agent_framework_orchestrations/_base_group_chat_orchestrator.py
+++ b/python/packages/orchestrations/agent_framework_orchestrations/_base_group_chat_orchestrator.py
@@ -188,7 +188,7 @@ class BaseGroupChatOrchestrator(Executor, ABC):
         Usage:
             workflow.run("Write a blog post about AI agents")
         """
-        await self._handle_messages([Message(role="user", text=task)], ctx)
+        await self._handle_messages([Message(role="user", contents=[task])], ctx)
 
     @handler
     async def handle_message(
@@ -205,7 +205,7 @@ class BaseGroupChatOrchestrator(Executor, ABC):
             ctx: Workflow context
 
         Usage:
-            workflow.run(Message(role="user", text="Write a blog post about AI agents"))
+            workflow.run(Message(role="user", contents=["Write a blog post about AI agents"]))
         """
         await self._handle_messages([task], ctx)
 
@@ -224,8 +224,8 @@ class BaseGroupChatOrchestrator(Executor, ABC):
             ctx: Workflow context
         Usage:
             workflow.run([
-                Message(role="user", text="Write a blog post about AI agents"),
-                Message(role="user", text="Make it engaging and informative.")
+                Message(role="user", contents=["Write a blog post about AI agents"]),
+                Message(role="user", contents=["Make it engaging and informative."])
             ])
         """
         if not task:
@@ -377,7 +377,7 @@ class BaseGroupChatOrchestrator(Executor, ABC):
         Returns:
             Message with completion content
         """
-        return Message(role="assistant", text=message, author_name=self._name)
+        return Message(role="assistant", contents=[message], author_name=self._name)
 
     # Participant routing (shared across all patterns)
 
@@ -441,7 +441,7 @@ class BaseGroupChatOrchestrator(Executor, ABC):
             # AgentExecutors receive simple message list
             messages: list[Message] = []
             if additional_instruction:
-                messages.append(Message(role="user", text=additional_instruction))
+                messages.append(Message(role="user", contents=[additional_instruction]))
             request = AgentExecutorRequest(messages=messages, should_respond=True)
             await ctx.send_message(request, target_id=target)
             await ctx.add_event(
diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_group_chat.py b/python/packages/orchestrations/agent_framework_orchestrations/_group_chat.py
index a99e221409..4f1c2f832a 100644
--- a/python/packages/orchestrations/agent_framework_orchestrations/_group_chat.py
+++ b/python/packages/orchestrations/agent_framework_orchestrations/_group_chat.py
@@ -499,7 +499,7 @@ class AgentBasedGroupChatOrchestrator(BaseGroupChatOrchestrator):
             ])
         )
         # Prepend instruction as system message
-        current_conversation.append(Message(role="user", text=instruction))
+        current_conversation.append(Message(role="user", contents=[instruction]))
 
         retry_attempts = self._retry_attempts
         while True:
@@ -515,7 +515,7 @@ class AgentBasedGroupChatOrchestrator(BaseGroupChatOrchestrator):
                 current_conversation = [
                     Message(
                         role="user",
-                        text=f"Your input could not be parsed due to an error: {ex}. Please try again.",
+                        contents=[f"Your input could not be parsed due to an error: {ex}. Please try again."],
                     )
                 ]
 
diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py b/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py
index baf91e0134..44c651df5a 100644
--- a/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py
+++ b/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py
@@ -161,7 +161,7 @@ class HandoffAgentUserRequest:
         """Create a HandoffAgentUserRequest from a simple text response."""
         messages: list[Message] = []
         if isinstance(response, str):
-            messages.append(Message(role="user", text=response))
+            messages.append(Message(role="user", contents=[response]))
         elif isinstance(response, Message):
             messages.append(response)
         elif isinstance(response, list):
@@ -169,7 +169,7 @@ class HandoffAgentUserRequest:
                 if isinstance(item, Message):
                     messages.append(item)
                 elif isinstance(item, str):
-                    messages.append(Message(role="user", text=item))
+                    messages.append(Message(role="user", contents=[item]))
                 else:
                     raise TypeError("List items must be either str or Message instances")
         else:
@@ -535,7 +535,7 @@ class HandoffAgentExecutor(AgentExecutor):
             # or a termination condition is met.
             # This allows the agent to perform long-running tasks without returning control
             # to the coordinator or user prematurely.
-            self._cache.extend([Message(role="user", text=self._autonomous_mode_prompt)])
+            self._cache.extend([Message(role="user", contents=[self._autonomous_mode_prompt])])
             self._autonomous_mode_turns += 1
             await self._run_agent_and_emit(ctx)
         else:
diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py b/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py
index b887d86df3..80031cd726 100644
--- a/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py
+++ b/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py
@@ -604,14 +604,14 @@ class StandardMagenticManager(MagenticManagerBase):
         # Gather facts
         facts_user = Message(
             role="user",
-            text=self.task_ledger_facts_prompt.format(task=magentic_context.task),
+            contents=[self.task_ledger_facts_prompt.format(task=magentic_context.task)],
         )
         facts_msg = await self._complete([*magentic_context.chat_history, facts_user])
 
         # Create plan
         plan_user = Message(
             role="user",
-            text=self.task_ledger_plan_prompt.format(team=team_text),
+            contents=[self.task_ledger_plan_prompt.format(team=team_text)],
         )
         plan_msg = await self._complete([*magentic_context.chat_history, facts_user, facts_msg, plan_user])
 
@@ -628,7 +628,7 @@ class StandardMagenticManager(MagenticManagerBase):
             facts=facts_msg.text,
             plan=plan_msg.text,
         )
-        return Message(role="assistant", text=combined, author_name=MAGENTIC_MANAGER_NAME)
+        return Message(role="assistant", contents=[combined], author_name=MAGENTIC_MANAGER_NAME)
 
     async def replan(self, magentic_context: MagenticContext) -> Message:
         """Update facts and plan when stalling or looping has been detected."""
@@ -640,16 +640,18 @@ class StandardMagenticManager(MagenticManagerBase):
         # Update facts
         facts_update_user = Message(
             role="user",
-            text=self.task_ledger_facts_update_prompt.format(
-                task=magentic_context.task, old_facts=self.task_ledger.facts.text
-            ),
+            contents=[
+                self.task_ledger_facts_update_prompt.format(
+                    task=magentic_context.task, old_facts=self.task_ledger.facts.text
+                )
+            ],
         )
         updated_facts = await self._complete([*magentic_context.chat_history, facts_update_user])
 
         # Update plan
         plan_update_user = Message(
             role="user",
-            text=self.task_ledger_plan_update_prompt.format(team=team_text),
+            contents=[self.task_ledger_plan_update_prompt.format(team=team_text)],
         )
         updated_plan = await self._complete([
             *magentic_context.chat_history,
@@ -671,7 +673,7 @@ class StandardMagenticManager(MagenticManagerBase):
             facts=updated_facts.text,
             plan=updated_plan.text,
         )
-        return Message(role="assistant", text=combined, author_name=MAGENTIC_MANAGER_NAME)
+        return Message(role="assistant", contents=[combined], author_name=MAGENTIC_MANAGER_NAME)
 
     async def create_progress_ledger(self, magentic_context: MagenticContext) -> MagenticProgressLedger:
         """Use the model to produce a JSON progress ledger based on the conversation so far.
@@ -691,7 +693,7 @@ class StandardMagenticManager(MagenticManagerBase):
             team=team_text,
             names=names_csv,
         )
-        user_message = Message(role="user", text=prompt)
+        user_message = Message(role="user", contents=[prompt])
 
         # Include full context to help the model decide current stage, with small retry loop
         attempts = 0
@@ -718,12 +720,12 @@ class StandardMagenticManager(MagenticManagerBase):
     async def prepare_final_answer(self, magentic_context: MagenticContext) -> Message:
         """Ask the model to produce the final answer addressed to the user."""
         prompt = self.final_answer_prompt.format(task=magentic_context.task)
-        user_message = Message(role="user", text=prompt)
+        user_message = Message(role="user", contents=[prompt])
         response = await self._complete([*magentic_context.chat_history, user_message])
         # Ensure role is assistant
         return Message(
             role="assistant",
-            text=response.text,
+            contents=[response.text],
             author_name=response.author_name or MAGENTIC_MANAGER_NAME,
         )
 
@@ -806,11 +808,11 @@ class MagenticPlanReviewResponse:
     def revise(feedback: str | list[str] | Message | list[Message]) -> "MagenticPlanReviewResponse":
         """Create a revision response with feedback."""
         if isinstance(feedback, str):
-            feedback = [Message(role="user", text=feedback)]
+            feedback = [Message(role="user", contents=[feedback])]
         elif isinstance(feedback, Message):
             feedback = [feedback]
         elif isinstance(feedback, list):
-            feedback = [Message(role="user", text=item) if isinstance(item, str) else item for item in feedback]
+            feedback = [Message(role="user", contents=[item]) if isinstance(item, str) else item for item in feedback]
 
         return MagenticPlanReviewResponse(review=feedback)
 
@@ -1120,7 +1122,7 @@ class MagenticOrchestrator(BaseGroupChatOrchestrator):
         # Add instruction to conversation (assistant guidance)
         instruction_msg = Message(
             role="assistant",
-            text=str(instruction),
+            contents=[str(instruction)],
             author_name=MAGENTIC_MANAGER_NAME,
         )
         self._magentic_context.chat_history.append(instruction_msg)
@@ -1232,7 +1234,7 @@ class MagenticOrchestrator(BaseGroupChatOrchestrator):
                 *self._magentic_context.chat_history,
                 Message(
                     role="assistant",
-                    text=f"Workflow terminated due to reaching maximum {limit_type} count.",
+                    contents=[f"Workflow terminated due to reaching maximum {limit_type} count."],
                     author_name=MAGENTIC_MANAGER_NAME,
                 ),
             ])
diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_orchestration_request_info.py b/python/packages/orchestrations/agent_framework_orchestrations/_orchestration_request_info.py
index 16950606dc..e78d1bef14 100644
--- a/python/packages/orchestrations/agent_framework_orchestrations/_orchestration_request_info.py
+++ b/python/packages/orchestrations/agent_framework_orchestrations/_orchestration_request_info.py
@@ -73,7 +73,7 @@ class AgentRequestInfoResponse:
         Returns:
             AgentRequestInfoResponse instance.
         """
-        return AgentRequestInfoResponse(messages=[Message(role="user", text=text) for text in texts])
+        return AgentRequestInfoResponse(messages=[Message(role="user", contents=[text]) for text in texts])
 
     @staticmethod
     def approve() -> "AgentRequestInfoResponse":
diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py b/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py
index 1e13e4969a..ca8d5daee3 100644
--- a/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py
+++ b/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py
@@ -36,7 +36,7 @@ def clean_conversation_for_handoff(conversation: list[Message]) -> list[Message]
 
         msg_copy = Message(
             role=msg.role,
-            text=" ".join(text_parts),
+            contents=[" ".join(text_parts)],
             author_name=msg.author_name,
             additional_properties=dict(msg.additional_properties) if msg.additional_properties else None,
         )
@@ -66,6 +66,6 @@ def create_completion_message(
     message_text = text or f"Conversation {reason}."
     return Message(
         role="assistant",
-        text=message_text,
+        contents=[message_text],
         author_name=author_name,
     )
diff --git a/python/packages/orchestrations/pyproject.toml b/python/packages/orchestrations/pyproject.toml
index e519086dbf..69fb60e4bb 100644
--- a/python/packages/orchestrations/pyproject.toml
+++ b/python/packages/orchestrations/pyproject.toml
@@ -4,7 +4,7 @@ description = "Orchestration patterns for Microsoft Agent Framework. Includes Se
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
 ]
 
 [tool.uv]
diff --git a/python/packages/orchestrations/tests/test_concurrent.py b/python/packages/orchestrations/tests/test_concurrent.py
index 8712aae3fd..7d9a2bc534 100644
--- a/python/packages/orchestrations/tests/test_concurrent.py
+++ b/python/packages/orchestrations/tests/test_concurrent.py
@@ -32,7 +32,7 @@ class _FakeAgentExec(Executor):
 
     @handler
     async def run(self, request: AgentExecutorRequest, ctx: WorkflowContext[AgentExecutorResponse]) -> None:
-        response = AgentResponse(messages=Message(role="assistant", text=self._reply_text))
+        response = AgentResponse(messages=Message(role="assistant", contents=[self._reply_text]))
         full_conversation = list(request.messages) + list(response.messages)
         await ctx.send_message(AgentExecutorResponse(self.id, response, full_conversation=full_conversation))
 
diff --git a/python/packages/orchestrations/tests/test_group_chat.py b/python/packages/orchestrations/tests/test_group_chat.py
index 7550f820c7..2118de5ba7 100644
--- a/python/packages/orchestrations/tests/test_group_chat.py
+++ b/python/packages/orchestrations/tests/test_group_chat.py
@@ -49,7 +49,7 @@ class StubAgent(BaseAgent):
         return self._run_impl()
 
     async def _run_impl(self) -> AgentResponse:
-        response = Message(role="assistant", text=self._reply_text, author_name=self.name)
+        response = Message(role="assistant", contents=[self._reply_text], author_name=self.name)
         return AgentResponse(messages=[response])
 
     async def _run_stream_impl(self) -> AsyncIterable[AgentResponseUpdate]:
@@ -89,10 +89,12 @@ class StubManagerAgent(Agent):
                 messages=[
                     Message(
                         role="assistant",
-                        text=(
-                            '{"terminate": false, "reason": "Selecting agent", '
-                            '"next_speaker": "agent", "final_message": null}'
-                        ),
+                        contents=[
+                            (
+                                '{"terminate": false, "reason": "Selecting agent", '
+                                '"next_speaker": "agent", "final_message": null}'
+                            )
+                        ],
                         author_name=self.name,
                     )
                 ],
@@ -110,10 +112,12 @@ class StubManagerAgent(Agent):
             messages=[
                 Message(
                     role="assistant",
-                    text=(
-                        '{"terminate": true, "reason": "Task complete", '
-                        '"next_speaker": null, "final_message": "agent manager final"}'
-                    ),
+                    contents=[
+                        (
+                            '{"terminate": true, "reason": "Task complete", '
+                            '"next_speaker": null, "final_message": "agent manager final"}'
+                        )
+                    ],
                     author_name=self.name,
                 )
             ],
@@ -141,12 +145,14 @@ class ConcatenatedJsonManagerAgent(Agent):
                 messages=[
                     Message(
                         role="assistant",
-                        text=(
-                            '{"terminate": false, "reason": "invalid candidate", '
-                            '"next_speaker": "unknown", "final_message": null} '
-                            '{"terminate": false, "reason": "pick known participant", '
-                            '"next_speaker": "agent", "final_message": null}'
-                        ),
+                        contents=[
+                            (
+                                '{"terminate": false, "reason": "invalid candidate", '
+                                '"next_speaker": "unknown", "final_message": null} '
+                                '{"terminate": false, "reason": "pick known participant", '
+                                '"next_speaker": "agent", "final_message": null}'
+                            )
+                        ],
                         author_name=self.name,
                     )
                 ]
@@ -156,10 +162,12 @@ class ConcatenatedJsonManagerAgent(Agent):
             messages=[
                 Message(
                     role="assistant",
-                    text=(
-                        '{"terminate": true, "reason": "Task complete", '
-                        '"next_speaker": null, "final_message": "concatenated manager final"}'
-                    ),
+                    contents=[
+                        (
+                            '{"terminate": true, "reason": "Task complete", '
+                            '"next_speaker": null, "final_message": "concatenated manager final"}'
+                        )
+                    ],
                     author_name=self.name,
                 )
             ]
@@ -189,7 +197,7 @@ class StubMagenticManager(MagenticManagerBase):
         self._round = 0
 
     async def plan(self, magentic_context: MagenticContext) -> Message:
-        return Message(role="assistant", text="plan", author_name="magentic_manager")
+        return Message(role="assistant", contents=["plan"], author_name="magentic_manager")
 
     async def replan(self, magentic_context: MagenticContext) -> Message:
         return await self.plan(magentic_context)
@@ -215,7 +223,7 @@ class StubMagenticManager(MagenticManagerBase):
         )
 
     async def prepare_final_answer(self, magentic_context: MagenticContext) -> Message:
-        return Message(role="assistant", text="final", author_name="magentic_manager")
+        return Message(role="assistant", contents=["final"], author_name="magentic_manager")
 
 
 async def test_group_chat_builder_basic_flow() -> None:
@@ -258,8 +266,8 @@ async def test_group_chat_as_agent_accepts_conversation() -> None:
 
     agent = workflow.as_agent(name="group-chat-agent")
     conversation = [
-        Message(role="user", text="kickoff", author_name="user"),
-        Message(role="assistant", text="noted", author_name="alpha"),
+        Message(role="user", contents=["kickoff"], author_name="user"),
+        Message(role="assistant", contents=["noted"], author_name="alpha"),
     ]
     response = await agent.run(conversation)
 
@@ -549,7 +557,7 @@ class TestConversationHandling:
 
     async def test_handle_chat_message_input(self) -> None:
         """Test handling Message input directly."""
-        task_message = Message(role="user", text="test message")
+        task_message = Message(role="user", contents=["test message"])
 
         def selector(state: GroupChatState) -> str:
             # Verify the task message was preserved in conversation
@@ -573,8 +581,8 @@ class TestConversationHandling:
     async def test_handle_conversation_list_input(self) -> None:
         """Test handling conversation list preserves context."""
         conversation = [
-            Message(role="system", text="system message"),
-            Message(role="user", text="user message"),
+            Message(role="system", contents=["system message"]),
+            Message(role="user", contents=["user message"]),
         ]
 
         def selector(state: GroupChatState) -> str:
@@ -913,10 +921,12 @@ async def test_group_chat_with_orchestrator_factory_returning_chat_agent():
                     messages=[
                         Message(
                             role="assistant",
-                            text=(
-                                '{"terminate": false, "reason": "Selecting alpha", '
-                                '"next_speaker": "alpha", "final_message": null}'
-                            ),
+                            contents=[
+                                (
+                                    '{"terminate": false, "reason": "Selecting alpha", '
+                                    '"next_speaker": "alpha", "final_message": null}'
+                                )
+                            ],
                             author_name=self.name,
                         )
                     ],
@@ -933,10 +943,12 @@ async def test_group_chat_with_orchestrator_factory_returning_chat_agent():
                 messages=[
                     Message(
                         role="assistant",
-                        text=(
-                            '{"terminate": true, "reason": "Task complete", '
-                            '"next_speaker": null, "final_message": "dynamic manager final"}'
-                        ),
+                        contents=[
+                            (
+                                '{"terminate": true, "reason": "Task complete", '
+                                '"next_speaker": null, "final_message": "dynamic manager final"}'
+                            )
+                        ],
                         author_name=self.name,
                     )
                 ],
diff --git a/python/packages/orchestrations/tests/test_handoff.py b/python/packages/orchestrations/tests/test_handoff.py
index b1524cce85..0687708b20 100644
--- a/python/packages/orchestrations/tests/test_handoff.py
+++ b/python/packages/orchestrations/tests/test_handoff.py
@@ -269,7 +269,7 @@ async def test_resume_keeps_prior_user_context_for_same_agent() -> None:
     second_events = await _drain(
         workflow.run(
             stream=True,
-            responses={first_request.request_id: [Message(role="user", text="Order 2939393")]},
+            responses={first_request.request_id: [Message(role="user", contents=["Order 2939393"])]},
         )
     )
     second_request = _latest_request_info_event(second_events)
@@ -280,7 +280,7 @@ async def test_resume_keeps_prior_user_context_for_same_agent() -> None:
     third_events = await _drain(
         workflow.run(
             stream=True,
-            responses={second_request.request_id: [Message(role="user", text="It arrived broken and unusable.")]},
+            responses={second_request.request_id: [Message(role="user", contents=["It arrived broken and unusable."])]},
         )
     )
     third_request = _latest_request_info_event(third_events)
@@ -370,7 +370,7 @@ async def test_tool_approval_responses_are_not_replayed_from_history() -> None:
     await _drain(
         workflow.run(
             stream=True,
-            responses={second_request.request_id: [Message(role="user", text="Thanks, what's next?")]},
+            responses={second_request.request_id: [Message(role="user", contents=["Thanks, what's next?"])]},
         )
     )
 
@@ -679,7 +679,7 @@ async def test_handoff_resume_preserves_approved_tool_output_for_stateless_runs(
     await _drain(
         workflow.run(
             stream=True,
-            responses={order_request.request_id: [Message(role="user", text="Please continue with refund.")]},
+            responses={order_request.request_id: [Message(role="user", contents=["Please continue with refund."])]},
         )
     )
 
@@ -767,7 +767,7 @@ def test_clean_conversation_for_handoff_keeps_text_only_history() -> None:
     )
 
     conversation = [
-        Message(role="user", text="My order arrived damaged."),
+        Message(role="user", contents=["My order arrived damaged."]),
         Message(
             role="assistant",
             contents=[
@@ -933,7 +933,7 @@ async def test_handoff_async_termination_condition() -> None:
 
     events = await _drain(
         workflow.run(
-            stream=True, responses={requests[-1].request_id: [Message(role="user", text="Second user message")]}
+            stream=True, responses={requests[-1].request_id: [Message(role="user", contents=["Second user message"])]}
         )
     )
     outputs = [ev for ev in events if ev.type == "output"]
@@ -1011,7 +1011,7 @@ async def test_tool_choice_preserved_from_agent_config():
         if options:
             recorded_tool_choices.append(options.get("tool_choice"))
         return ChatResponse(
-            messages=[Message(role="assistant", text="Response")],
+            messages=[Message(role="assistant", contents=["Response"])],
             response_id="test_response",
         )
 
diff --git a/python/packages/orchestrations/tests/test_magentic.py b/python/packages/orchestrations/tests/test_magentic.py
index 1857a16ee4..b87de8c6f4 100644
--- a/python/packages/orchestrations/tests/test_magentic.py
+++ b/python/packages/orchestrations/tests/test_magentic.py
@@ -585,7 +585,7 @@ async def _collect_agent_responses_setup(participant: SupportsAgentRun) -> list[
             captured.append(
                 Message(
                     role=ev.data.role or "assistant",
-                    text=ev.data.text or "",
+                    contents=[ev.data.text or ""],
                     author_name=ev.data.author_name,
                 )
             )
diff --git a/python/packages/orchestrations/tests/test_orchestration_request_info.py b/python/packages/orchestrations/tests/test_orchestration_request_info.py
index d618efcbf1..b7b266073b 100644
--- a/python/packages/orchestrations/tests/test_orchestration_request_info.py
+++ b/python/packages/orchestrations/tests/test_orchestration_request_info.py
@@ -72,7 +72,7 @@ class TestAgentRequestInfoResponse:
 
     def test_create_response_with_messages(self):
         """Test creating an AgentRequestInfoResponse with messages."""
-        messages = [Message(role="user", text="Additional info")]
+        messages = [Message(role="user", contents=["Additional info"])]
         response = AgentRequestInfoResponse(messages=messages)
 
         assert response.messages == messages
@@ -80,8 +80,8 @@ class TestAgentRequestInfoResponse:
     def test_from_messages_factory(self):
         """Test creating response from Message list."""
         messages = [
-            Message(role="user", text="Message 1"),
-            Message(role="user", text="Message 2"),
+            Message(role="user", contents=["Message 1"]),
+            Message(role="user", contents=["Message 2"]),
         ]
         response = AgentRequestInfoResponse.from_messages(messages)
 
@@ -113,7 +113,7 @@ class TestAgentRequestInfoExecutor:
         """Test that request_info handler calls ctx.request_info."""
         executor = AgentRequestInfoExecutor(id="test_executor")
 
-        agent_response = AgentResponse(messages=[Message(role="assistant", text="Agent response")])
+        agent_response = AgentResponse(messages=[Message(role="assistant", contents=["Agent response"])])
         agent_response = AgentExecutorResponse(
             executor_id="test_agent",
             agent_response=agent_response,
@@ -132,7 +132,7 @@ class TestAgentRequestInfoExecutor:
         """Test response handler when user provides additional messages."""
         executor = AgentRequestInfoExecutor(id="test_executor")
 
-        agent_response = AgentResponse(messages=[Message(role="assistant", text="Original")])
+        agent_response = AgentResponse(messages=[Message(role="assistant", contents=["Original"])])
         original_request = AgentExecutorResponse(
             executor_id="test_agent",
             agent_response=agent_response,
@@ -159,7 +159,7 @@ class TestAgentRequestInfoExecutor:
         """Test response handler when user approves (no additional messages)."""
         executor = AgentRequestInfoExecutor(id="test_executor")
 
-        agent_response = AgentResponse(messages=[Message(role="assistant", text="Original")])
+        agent_response = AgentResponse(messages=[Message(role="assistant", contents=["Original"])])
         original_request = AgentExecutorResponse(
             executor_id="test_agent",
             agent_response=agent_response,
@@ -212,10 +212,10 @@ class _TestAgent:
         """Dummy run method."""
         if stream:
             return self._run_stream_impl()
-        return AgentResponse(messages=[Message(role="assistant", text="Test response")])
+        return AgentResponse(messages=[Message(role="assistant", contents=["Test response"])])
 
     async def _run_stream_impl(self) -> AsyncIterable[AgentResponseUpdate]:
-        yield AgentResponseUpdate(messages=[Message(role="assistant", text="Test response stream")])
+        yield AgentResponseUpdate(messages=[Message(role="assistant", contents=["Test response stream"])])
 
     def create_session(self, **kwargs: Any) -> AgentSession:
         """Creates a new conversation session for the agent."""
diff --git a/python/packages/purview/agent_framework_purview/_middleware.py b/python/packages/purview/agent_framework_purview/_middleware.py
index 0b7442b47d..cf98294f33 100644
--- a/python/packages/purview/agent_framework_purview/_middleware.py
+++ b/python/packages/purview/agent_framework_purview/_middleware.py
@@ -82,10 +82,13 @@ class PurviewPolicyMiddleware(AgentMiddleware):
             if should_block_prompt:
                 from agent_framework import AgentResponse, Message
 
+                msg = self._settings.get("blocked_prompt_message", None) or "Prompt blocked by policy"
+
                 context.result = AgentResponse(
                     messages=[
                         Message(
-                            role="system", text=self._settings.get("blocked_prompt_message", "Prompt blocked by policy")
+                            role="system",
+                            contents=[msg],
                         )
                     ]
                 )
@@ -119,11 +122,13 @@ class PurviewPolicyMiddleware(AgentMiddleware):
                 if should_block_response:
                     from agent_framework import AgentResponse, Message
 
+                    msg = self._settings.get("blocked_response_message", None) or "Response blocked by policy"
+
                     context.result = AgentResponse(
                         messages=[
                             Message(
                                 role="system",
-                                text=self._settings.get("blocked_response_message", "Response blocked by policy"),
+                                contents=[msg],
                             )
                         ]
                     )
@@ -189,7 +194,8 @@ class PurviewChatPolicyMiddleware(ChatMiddleware):
                 from agent_framework import ChatResponse, Message
 
                 blocked_message = Message(
-                    role="system", text=self._settings.get("blocked_prompt_message", "Prompt blocked by policy")
+                    role="system",
+                    contents=[self._settings.get("blocked_prompt_message", None) or "Prompt blocked by policy"],
                 )
                 context.result = ChatResponse(messages=[blocked_message])
                 raise MiddlewareTermination
@@ -224,7 +230,9 @@ class PurviewChatPolicyMiddleware(ChatMiddleware):
 
                         blocked_message = Message(
                             role="system",
-                            text=self._settings.get("blocked_response_message", "Response blocked by policy"),
+                            contents=[
+                                self._settings.get("blocked_response_message", None) or "Response blocked by policy"
+                            ],
                         )
                         context.result = ChatResponse(messages=[blocked_message])
             else:
diff --git a/python/packages/purview/pyproject.toml b/python/packages/purview/pyproject.toml
index 183de4570c..ad63be4448 100644
--- a/python/packages/purview/pyproject.toml
+++ b/python/packages/purview/pyproject.toml
@@ -4,7 +4,7 @@ description = "Microsoft Purview (Graph dataSecurityAndGovernance) integration f
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://github.com/microsoft/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -12,7 +12,7 @@ urls.release_notes = "https://github.com/microsoft/agent-framework/releases"
 urls.issues = "https://github.com/microsoft/agent-framework/issues"
 classifiers = [
   "License :: OSI Approved :: MIT License",
-  "Development Status :: 3 - Alpha",
+    "Development Status :: 4 - Beta",
   "Intended Audience :: Developers",
   "Programming Language :: Python :: 3",
   "Programming Language :: Python :: 3.10",
@@ -24,7 +24,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "azure-core>=1.30.0,<2",
     "httpx>=0.27.0,<0.29",
 ]
diff --git a/python/packages/purview/tests/purview/test_chat_middleware.py b/python/packages/purview/tests/purview/test_chat_middleware.py
index e740cdabc6..4134b2f0f2 100644
--- a/python/packages/purview/tests/purview/test_chat_middleware.py
+++ b/python/packages/purview/tests/purview/test_chat_middleware.py
@@ -37,7 +37,7 @@ class TestPurviewChatPolicyMiddleware:
         client = DummyChatClient()
         chat_options = MagicMock()
         chat_options.model = "test-model"
-        return ChatContext(client=client, messages=[Message(role="user", text="Hello")], options=chat_options)
+        return ChatContext(client=client, messages=[Message(role="user", contents=["Hello"])], options=chat_options)
 
     async def test_initialization(self, middleware: PurviewChatPolicyMiddleware) -> None:
         assert middleware._client is not None
@@ -55,7 +55,7 @@ class TestPurviewChatPolicyMiddleware:
 
                 class Result:
                     def __init__(self):
-                        self.messages = [Message(role="assistant", text="Hi there")]
+                        self.messages = [Message(role="assistant", contents=["Hi there"])]
 
                 chat_context.result = Result()
 
@@ -91,7 +91,7 @@ class TestPurviewChatPolicyMiddleware:
             async def mock_next() -> None:
                 class Result:
                     def __init__(self):
-                        self.messages = [Message(role="assistant", text="Sensitive output")]  # pragma: no cover
+                        self.messages = [Message(role="assistant", contents=["Sensitive output"])]  # pragma: no cover
 
                 chat_context.result = Result()
 
@@ -108,7 +108,7 @@ class TestPurviewChatPolicyMiddleware:
         chat_options.model = "test-model"
         streaming_context = ChatContext(
             client=client,
-            messages=[Message(role="user", text="Hello")],
+            messages=[Message(role="user", contents=["Hello"])],
             options=chat_options,
             stream=True,
         )
@@ -140,7 +140,7 @@ class TestPurviewChatPolicyMiddleware:
 
             async def mock_next() -> None:
                 result = MagicMock()
-                result.messages = [Message(role="assistant", text="Response")]
+                result.messages = [Message(role="assistant", contents=["Response"])]
                 chat_context.result = result
 
             await middleware.process(chat_context, mock_next)
@@ -164,7 +164,7 @@ class TestPurviewChatPolicyMiddleware:
 
             async def mock_next() -> None:
                 result = MagicMock()
-                result.messages = [Message(role="assistant", text="Response")]
+                result.messages = [Message(role="assistant", contents=["Response"])]
                 chat_context.result = result
 
             await middleware.process(chat_context, mock_next)
@@ -187,7 +187,7 @@ class TestPurviewChatPolicyMiddleware:
         client = DummyChatClient()
         chat_options = MagicMock()
         chat_options.model = "test-model"
-        context = ChatContext(client=client, messages=[Message(role="user", text="Hello")], options=chat_options)
+        context = ChatContext(client=client, messages=[Message(role="user", contents=["Hello"])], options=chat_options)
 
         async def mock_process_messages(*args, **kwargs):
             raise PurviewPaymentRequiredError("Payment required")
@@ -211,7 +211,7 @@ class TestPurviewChatPolicyMiddleware:
         client = DummyChatClient()
         chat_options = MagicMock()
         chat_options.model = "test-model"
-        context = ChatContext(client=client, messages=[Message(role="user", text="Hello")], options=chat_options)
+        context = ChatContext(client=client, messages=[Message(role="user", contents=["Hello"])], options=chat_options)
 
         call_count = 0
 
@@ -226,7 +226,7 @@ class TestPurviewChatPolicyMiddleware:
 
             async def mock_next() -> None:
                 result = MagicMock()
-                result.messages = [Message(role="assistant", text="OK")]
+                result.messages = [Message(role="assistant", contents=["OK"])]
                 context.result = result
 
             with pytest.raises(PurviewPaymentRequiredError):
@@ -242,7 +242,7 @@ class TestPurviewChatPolicyMiddleware:
         client = DummyChatClient()
         chat_options = MagicMock()
         chat_options.model = "test-model"
-        context = ChatContext(client=client, messages=[Message(role="user", text="Hello")], options=chat_options)
+        context = ChatContext(client=client, messages=[Message(role="user", contents=["Hello"])], options=chat_options)
 
         async def mock_process_messages(*args, **kwargs):
             raise PurviewPaymentRequiredError("Payment required")
@@ -251,7 +251,7 @@ class TestPurviewChatPolicyMiddleware:
 
             async def mock_next() -> None:
                 result = MagicMock()
-                result.messages = [Message(role="assistant", text="Response")]
+                result.messages = [Message(role="assistant", contents=["Response"])]
                 context.result = result
 
             # Should not raise, just log
@@ -282,7 +282,7 @@ class TestPurviewChatPolicyMiddleware:
         client = DummyChatClient()
         chat_options = MagicMock()
         chat_options.model = "test-model"
-        context = ChatContext(client=client, messages=[Message(role="user", text="Hello")], options=chat_options)
+        context = ChatContext(client=client, messages=[Message(role="user", contents=["Hello"])], options=chat_options)
 
         async def mock_process_messages(*args, **kwargs):
             raise ValueError("Some error")
@@ -291,7 +291,7 @@ class TestPurviewChatPolicyMiddleware:
 
             async def mock_next() -> None:
                 result = MagicMock()
-                result.messages = [Message(role="assistant", text="Response")]
+                result.messages = [Message(role="assistant", contents=["Response"])]
                 context.result = result
 
             # Should not raise, just log
@@ -309,7 +309,7 @@ class TestPurviewChatPolicyMiddleware:
         client = DummyChatClient()
         chat_options = MagicMock()
         chat_options.model = "test-model"
-        context = ChatContext(client=client, messages=[Message(role="user", text="Hello")], options=chat_options)
+        context = ChatContext(client=client, messages=[Message(role="user", contents=["Hello"])], options=chat_options)
 
         with patch.object(middleware._processor, "process_messages", side_effect=ValueError("boom")):
 
@@ -329,7 +329,7 @@ class TestPurviewChatPolicyMiddleware:
         client = DummyChatClient()
         chat_options = MagicMock()
         chat_options.model = "test-model"
-        context = ChatContext(client=client, messages=[Message(role="user", text="Hello")], options=chat_options)
+        context = ChatContext(client=client, messages=[Message(role="user", contents=["Hello"])], options=chat_options)
 
         call_count = 0
 
@@ -344,7 +344,7 @@ class TestPurviewChatPolicyMiddleware:
 
             async def mock_next() -> None:
                 result = MagicMock()
-                result.messages = [Message(role="assistant", text="OK")]
+                result.messages = [Message(role="assistant", contents=["OK"])]
                 context.result = result
 
             with pytest.raises(ValueError, match="post"):
@@ -355,7 +355,7 @@ class TestPurviewChatPolicyMiddleware:
     ) -> None:
         """Test that session_id is extracted from context.options['conversation_id']."""
         chat_client = DummyChatClient()
-        messages = [Message(role="user", text="Hello")]
+        messages = [Message(role="user", contents=["Hello"])]
         options = {"conversation_id": "conv-123", "model": "test-model"}
         context = ChatContext(client=chat_client, messages=messages, options=options)
 
@@ -363,7 +363,7 @@ class TestPurviewChatPolicyMiddleware:
 
             async def mock_next() -> None:
                 result = MagicMock()
-                result.messages = [Message(role="assistant", text="Hi")]
+                result.messages = [Message(role="assistant", contents=["Hi"])]
                 context.result = result
 
             await middleware.process(context, mock_next)
@@ -377,14 +377,14 @@ class TestPurviewChatPolicyMiddleware:
     ) -> None:
         """Test that session_id is None when options don't contain conversation_id."""
         chat_client = DummyChatClient()
-        messages = [Message(role="user", text="Hello")]
+        messages = [Message(role="user", contents=["Hello"])]
         context = ChatContext(client=chat_client, messages=messages, options=None)
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")) as mock_proc:
 
             async def mock_next() -> None:
                 result = MagicMock()
-                result.messages = [Message(role="assistant", text="Hi")]
+                result.messages = [Message(role="assistant", contents=["Hi"])]
                 context.result = result
 
             await middleware.process(context, mock_next)
@@ -395,7 +395,7 @@ class TestPurviewChatPolicyMiddleware:
     async def test_chat_middleware_session_id_used_in_post_check(self, middleware: PurviewChatPolicyMiddleware) -> None:
         """Test that session_id is passed to post-check process_messages call."""
         chat_client = DummyChatClient()
-        messages = [Message(role="user", text="Hello")]
+        messages = [Message(role="user", contents=["Hello"])]
         options = {"conversation_id": "conv-999"}
         context = ChatContext(client=chat_client, messages=messages, options=options)
 
@@ -403,7 +403,7 @@ class TestPurviewChatPolicyMiddleware:
 
             async def mock_next() -> None:
                 result = MagicMock()
-                result.messages = [Message(role="assistant", text="Response")]
+                result.messages = [Message(role="assistant", contents=["Response"])]
                 context.result = result
 
             await middleware.process(context, mock_next)
diff --git a/python/packages/purview/tests/purview/test_middleware.py b/python/packages/purview/tests/purview/test_middleware.py
index b49b5d46a0..274e4878b1 100644
--- a/python/packages/purview/tests/purview/test_middleware.py
+++ b/python/packages/purview/tests/purview/test_middleware.py
@@ -50,7 +50,7 @@ class TestPurviewPolicyMiddleware:
         self, middleware: PurviewPolicyMiddleware, mock_agent: MagicMock
     ) -> None:
         """Test middleware allows prompt that passes policy check."""
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello, how are you?")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello, how are you?"])])
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")):
             next_called = False
@@ -58,7 +58,7 @@ class TestPurviewPolicyMiddleware:
             async def mock_next() -> None:
                 nonlocal next_called
                 next_called = True
-                context.result = AgentResponse(messages=[Message(role="assistant", text="I'm good, thanks!")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["I'm good, thanks!"])])
 
             await middleware.process(context, mock_next)
 
@@ -69,7 +69,7 @@ class TestPurviewPolicyMiddleware:
         self, middleware: PurviewPolicyMiddleware, mock_agent: MagicMock
     ) -> None:
         """Test middleware blocks prompt that violates policy."""
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Sensitive information")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Sensitive information"])])
 
         with patch.object(middleware._processor, "process_messages", return_value=(True, "user-123")):
             next_called = False
@@ -89,7 +89,7 @@ class TestPurviewPolicyMiddleware:
 
     async def test_middleware_checks_response(self, middleware: PurviewPolicyMiddleware, mock_agent: MagicMock) -> None:
         """Test middleware checks agent response for policy violations."""
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello"])])
 
         call_count = 0
 
@@ -103,7 +103,7 @@ class TestPurviewPolicyMiddleware:
 
             async def mock_next() -> None:
                 context.result = AgentResponse(
-                    messages=[Message(role="assistant", text="Here's some sensitive information")]
+                    messages=[Message(role="assistant", contents=["Here's some sensitive information"])]
                 )
 
             await middleware.process(context, mock_next)
@@ -121,7 +121,7 @@ class TestPurviewPolicyMiddleware:
         # Set ignore_exceptions to True so AttributeError is caught and logged
         middleware._settings["ignore_exceptions"] = True
 
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello"])])
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")):
 
@@ -138,12 +138,12 @@ class TestPurviewPolicyMiddleware:
         """Test middleware passes correct activity type to processor."""
         from agent_framework_purview._models import Activity
 
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Test")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Test"])])
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")) as mock_process:
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="Response")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
 
             await middleware.process(context, mock_next)
 
@@ -157,13 +157,13 @@ class TestPurviewPolicyMiddleware:
         self, middleware: PurviewPolicyMiddleware, mock_agent: MagicMock
     ) -> None:
         """Test that streaming results skip post-check evaluation."""
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello"])])
         context.stream = True
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")) as mock_proc:
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="streaming")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["streaming"])])
 
             await middleware.process(context, mock_next)
 
@@ -175,7 +175,7 @@ class TestPurviewPolicyMiddleware:
         """Test that 402 in pre-check is raised when ignore_payment_required=False."""
         from agent_framework_purview._exceptions import PurviewPaymentRequiredError
 
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello"])])
 
         with patch.object(
             middleware._processor,
@@ -195,7 +195,7 @@ class TestPurviewPolicyMiddleware:
         """Test that 402 in post-check is raised when ignore_payment_required=False."""
         from agent_framework_purview._exceptions import PurviewPaymentRequiredError
 
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello"])])
 
         call_count = 0
 
@@ -209,7 +209,7 @@ class TestPurviewPolicyMiddleware:
         with patch.object(middleware._processor, "process_messages", side_effect=side_effect):
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="OK")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["OK"])])
 
             with pytest.raises(PurviewPaymentRequiredError):
                 await middleware.process(context, mock_next)
@@ -220,7 +220,7 @@ class TestPurviewPolicyMiddleware:
         """Test that post-check exceptions are propagated when ignore_exceptions=False."""
         middleware._settings["ignore_exceptions"] = False
 
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello"])])
 
         call_count = 0
 
@@ -234,7 +234,7 @@ class TestPurviewPolicyMiddleware:
         with patch.object(middleware._processor, "process_messages", side_effect=side_effect):
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="OK")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["OK"])])
 
             with pytest.raises(ValueError, match="Post-check blew up"):
                 await middleware.process(context, mock_next)
@@ -246,14 +246,14 @@ class TestPurviewPolicyMiddleware:
         # Set ignore_exceptions to True
         middleware._settings["ignore_exceptions"] = True
 
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Test")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Test"])])
 
         with patch.object(
             middleware._processor, "process_messages", side_effect=Exception("Pre-check error")
         ) as mock_process:
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="Response")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
 
             await middleware.process(context, mock_next)
 
@@ -269,7 +269,7 @@ class TestPurviewPolicyMiddleware:
         # Set ignore_exceptions to True
         middleware._settings["ignore_exceptions"] = True
 
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Test")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Test"])])
 
         call_count = 0
 
@@ -283,7 +283,7 @@ class TestPurviewPolicyMiddleware:
         with patch.object(middleware._processor, "process_messages", side_effect=mock_process_messages):
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="Response")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
 
             await middleware.process(context, mock_next)
 
@@ -300,7 +300,7 @@ class TestPurviewPolicyMiddleware:
 
         mock_agent = MagicMock()
         mock_agent.name = "test-agent"
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Test")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Test"])])
 
         # Mock processor to raise an exception
         async def mock_process_messages(*args, **kwargs):
@@ -309,7 +309,7 @@ class TestPurviewPolicyMiddleware:
         with patch.object(middleware._processor, "process_messages", side_effect=mock_process_messages):
 
             async def mock_next():
-                context.result = AgentResponse(messages=[Message(role="assistant", text="Response")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
 
             # Should not raise, just log
             await middleware.process(context, mock_next)
@@ -324,7 +324,7 @@ class TestPurviewPolicyMiddleware:
 
         mock_agent = MagicMock()
         mock_agent.name = "test-agent"
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Test")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Test"])])
 
         # Mock processor to raise an exception
         async def mock_process_messages(*args, **kwargs):
@@ -344,12 +344,12 @@ class TestPurviewPolicyMiddleware:
     ) -> None:
         """Test that session_id is extracted from session.service_session_id."""
         session = AgentSession(service_session_id="thread-123")
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello")], session=session)
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello"])], session=session)
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")) as mock_proc:
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="Hi")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["Hi"])])
 
             await middleware.process(context, mock_next)
 
@@ -361,13 +361,13 @@ class TestPurviewPolicyMiddleware:
         self, middleware: PurviewPolicyMiddleware, mock_agent: MagicMock
     ) -> None:
         """Test that session_id is extracted from message.additional_properties['conversation_id']."""
-        messages = [Message(role="user", text="Hello", additional_properties={"conversation_id": "conv-456"})]
+        messages = [Message(role="user", contents=["Hello"], additional_properties={"conversation_id": "conv-456"})]
         context = AgentContext(agent=mock_agent, messages=messages)
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")) as mock_proc:
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="Hi")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["Hi"])])
 
             await middleware.process(context, mock_next)
 
@@ -380,13 +380,13 @@ class TestPurviewPolicyMiddleware:
     ) -> None:
         """Test that session.service_session_id takes precedence over message conversation_id."""
         session = AgentSession(service_session_id="thread-789")
-        messages = [Message(role="user", text="Hello", additional_properties={"conversation_id": "conv-456"})]
+        messages = [Message(role="user", contents=["Hello"], additional_properties={"conversation_id": "conv-456"})]
         context = AgentContext(agent=mock_agent, messages=messages, session=session)
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")) as mock_proc:
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="Hi")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["Hi"])])
 
             await middleware.process(context, mock_next)
 
@@ -397,12 +397,12 @@ class TestPurviewPolicyMiddleware:
         self, middleware: PurviewPolicyMiddleware, mock_agent: MagicMock
     ) -> None:
         """Test that session_id is None when no session or conversation_id is available."""
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello")])
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello"])])
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")) as mock_proc:
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="Hi")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["Hi"])])
 
             await middleware.process(context, mock_next)
 
@@ -414,12 +414,12 @@ class TestPurviewPolicyMiddleware:
     ) -> None:
         """Test that session_id is passed to post-check process_messages call."""
         session = AgentSession(service_session_id="thread-999")
-        context = AgentContext(agent=mock_agent, messages=[Message(role="user", text="Hello")], session=session)
+        context = AgentContext(agent=mock_agent, messages=[Message(role="user", contents=["Hello"])], session=session)
 
         with patch.object(middleware._processor, "process_messages", return_value=(False, "user-123")) as mock_proc:
 
             async def mock_next() -> None:
-                context.result = AgentResponse(messages=[Message(role="assistant", text="Response")])
+                context.result = AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
 
             await middleware.process(context, mock_next)
 
diff --git a/python/packages/purview/tests/purview/test_processor.py b/python/packages/purview/tests/purview/test_processor.py
index 7e70072508..285fb338d8 100644
--- a/python/packages/purview/tests/purview/test_processor.py
+++ b/python/packages/purview/tests/purview/test_processor.py
@@ -83,8 +83,8 @@ class TestScopedContentProcessor:
     async def test_process_messages_with_defaults(self, processor: ScopedContentProcessor) -> None:
         """Test process_messages with settings that have defaults."""
         messages = [
-            Message(role="user", text="Hello"),
-            Message(role="assistant", text="Hi there"),
+            Message(role="user", contents=["Hello"]),
+            Message(role="assistant", contents=["Hi there"]),
         ]
 
         with patch.object(processor, "_map_messages", return_value=([], None)) as mock_map:
@@ -98,7 +98,7 @@ class TestScopedContentProcessor:
         self, processor: ScopedContentProcessor, process_content_request_factory
     ) -> None:
         """Test process_messages returns True when content should be blocked."""
-        messages = [Message(role="user", text="Sensitive content")]
+        messages = [Message(role="user", contents=["Sensitive content"])]
 
         mock_request = process_content_request_factory("Sensitive content")
 
@@ -122,7 +122,7 @@ class TestScopedContentProcessor:
         messages = [
             Message(
                 role="user",
-                text="Test message",
+                contents=["Test message"],
                 message_id="msg-123",
                 author_name="12345678-1234-1234-1234-123456789012",
             ),
@@ -139,7 +139,7 @@ class TestScopedContentProcessor:
         """Test _map_messages gets token info when settings lack some defaults."""
         settings = PurviewSettings(app_name="Test App", tenant_id="12345678-1234-1234-1234-123456789012")
         processor = ScopedContentProcessor(mock_client, settings)
-        messages = [Message(role="user", text="Test", message_id="msg-123")]
+        messages = [Message(role="user", contents=["Test"], message_id="msg-123")]
 
         requests, user_id = await processor._map_messages(messages, Activity.UPLOAD_TEXT)
 
@@ -156,7 +156,7 @@ class TestScopedContentProcessor:
             return_value={"user_id": "test-user", "client_id": "test-client"}
         )
 
-        messages = [Message(role="user", text="Test", message_id="msg-123")]
+        messages = [Message(role="user", contents=["Test"], message_id="msg-123")]
 
         with pytest.raises(ValueError, match="Tenant id required"):
             await processor._map_messages(messages, Activity.UPLOAD_TEXT)
@@ -333,7 +333,7 @@ class TestScopedContentProcessor:
         messages = [
             Message(
                 role="user",
-                text="Test message",
+                contents=["Test message"],
                 additional_properties={"user_id": "22345678-1234-1234-1234-123456789012"},
             ),
         ]
@@ -355,7 +355,7 @@ class TestScopedContentProcessor:
         )
         processor = ScopedContentProcessor(mock_client, settings)
 
-        messages = [Message(role="user", text="Test message")]
+        messages = [Message(role="user", contents=["Test message"])]
 
         requests, user_id = await processor._map_messages(
             messages, Activity.UPLOAD_TEXT, provided_user_id="32345678-1234-1234-1234-123456789012"
@@ -376,7 +376,7 @@ class TestScopedContentProcessor:
         )
         processor = ScopedContentProcessor(mock_client, settings)
 
-        messages = [Message(role="user", text="Test message")]
+        messages = [Message(role="user", contents=["Test message"])]
 
         requests, user_id = await processor._map_messages(messages, Activity.UPLOAD_TEXT)
 
@@ -479,7 +479,7 @@ class TestUserIdResolution:
         settings = PurviewSettings(app_name="Test App")  # No tenant_id or app_location
         processor = ScopedContentProcessor(mock_client, settings)
 
-        messages = [Message(role="user", text="Test")]
+        messages = [Message(role="user", contents=["Test"])]
 
         requests, user_id = await processor._map_messages(messages, Activity.UPLOAD_TEXT)
 
@@ -495,7 +495,7 @@ class TestUserIdResolution:
         messages = [
             Message(
                 role="user",
-                text="Test",
+                contents=["Test"],
                 additional_properties={"user_id": "22222222-2222-2222-2222-222222222222"},
             )
         ]
@@ -515,7 +515,7 @@ class TestUserIdResolution:
         messages = [
             Message(
                 role="user",
-                text="Test",
+                contents=["Test"],
                 author_name="33333333-3333-3333-3333-333333333333",
             )
         ]
@@ -533,7 +533,7 @@ class TestUserIdResolution:
         messages = [
             Message(
                 role="user",
-                text="Test",
+                contents=["Test"],
                 author_name="John Doe",  # Not a GUID
             )
         ]
@@ -550,7 +550,7 @@ class TestUserIdResolution:
         """Test provided_user_id parameter is used as last resort."""
         processor = ScopedContentProcessor(mock_client, settings)
 
-        messages = [Message(role="user", text="Test")]
+        messages = [Message(role="user", contents=["Test"])]
 
         requests, user_id = await processor._map_messages(
             messages, Activity.UPLOAD_TEXT, provided_user_id="44444444-4444-4444-4444-444444444444"
@@ -562,7 +562,7 @@ class TestUserIdResolution:
         """Test invalid provided_user_id is ignored."""
         processor = ScopedContentProcessor(mock_client, settings)
 
-        messages = [Message(role="user", text="Test")]
+        messages = [Message(role="user", contents=["Test"])]
 
         requests, user_id = await processor._map_messages(messages, Activity.UPLOAD_TEXT, provided_user_id="not-a-guid")
 
@@ -575,10 +575,12 @@ class TestUserIdResolution:
 
         messages = [
             Message(
-                role="user", text="First", additional_properties={"user_id": "55555555-5555-5555-5555-555555555555"}
+                role="user",
+                contents=["First"],
+                additional_properties={"user_id": "55555555-5555-5555-5555-555555555555"},
             ),
-            Message(role="assistant", text="Response"),
-            Message(role="user", text="Second"),
+            Message(role="assistant", contents=["Response"]),
+            Message(role="user", contents=["Second"]),
         ]
 
         requests, user_id = await processor._map_messages(messages, Activity.UPLOAD_TEXT)
@@ -594,14 +596,16 @@ class TestUserIdResolution:
         processor = ScopedContentProcessor(mock_client, settings)
 
         messages = [
-            Message(role="user", text="First", author_name="Not a GUID"),
+            Message(role="user", contents=["First"], author_name="Not a GUID"),
             Message(
                 role="assistant",
-                text="Response",
+                contents=["Response"],
                 additional_properties={"user_id": "66666666-6666-6666-6666-666666666666"},
             ),
             Message(
-                role="user", text="Third", additional_properties={"user_id": "77777777-7777-7777-7777-777777777777"}
+                role="user",
+                contents=["Third"],
+                additional_properties={"user_id": "77777777-7777-7777-7777-777777777777"},
             ),
         ]
 
@@ -653,7 +657,7 @@ class TestScopedContentProcessorCaching:
             scope_identifier="scope-123", scopes=[]
         )
 
-        messages = [Message(role="user", text="Test")]
+        messages = [Message(role="user", contents=["Test"])]
 
         await processor.process_messages(messages, Activity.UPLOAD_TEXT, user_id="12345678-1234-1234-1234-123456789012")
 
@@ -675,7 +679,7 @@ class TestScopedContentProcessorCaching:
 
         mock_client.get_protection_scopes.side_effect = PurviewPaymentRequiredError("Payment required")
 
-        messages = [Message(role="user", text="Test")]
+        messages = [Message(role="user", contents=["Test"])]
 
         with pytest.raises(PurviewPaymentRequiredError):
             await processor.process_messages(
diff --git a/python/packages/redis/agent_framework_redis/_context_provider.py b/python/packages/redis/agent_framework_redis/_context_provider.py
index 3753ab7be1..4c102f0187 100644
--- a/python/packages/redis/agent_framework_redis/_context_provider.py
+++ b/python/packages/redis/agent_framework_redis/_context_provider.py
@@ -136,7 +136,7 @@ class RedisContextProvider(ContextProvider):
         if line_separated_memories:
             context.extend_messages(
                 self.source_id,
-                [Message(role="user", text=f"{self.context_prompt}\n{line_separated_memories}")],
+                [Message(role="user", contents=[f"{self.context_prompt}\n{line_separated_memories}"])],
             )
 
     @override
diff --git a/python/packages/redis/pyproject.toml b/python/packages/redis/pyproject.toml
index 9cb248ccf9..0feec5bd23 100644
--- a/python/packages/redis/pyproject.toml
+++ b/python/packages/redis/pyproject.toml
@@ -4,7 +4,7 @@ description = "Redis integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0rc6",
+    "agent-framework-core>=1.0.0,<2",
     "redis>=6.4.0,<7.2.1",
     "redisvl>=0.11.0,<0.16",
     "numpy>=2.2.6,<3"
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 2782b98230..24af13b940 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0rc6"
+version = "1.0.0"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -12,7 +12,7 @@ urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=ta
 urls.issues = "https://github.com/microsoft/agent-framework/issues"
 classifiers = [
   "License :: OSI Approved :: MIT License",
-  "Development Status :: 4 - Beta",
+  "Development Status :: 5 - Production/Stable",
   "Intended Audience :: Developers",
   "Programming Language :: Python :: 3",
   "Programming Language :: Python :: 3.10",
@@ -23,29 +23,29 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core[all]==1.0.0rc6",
+    "agent-framework-core[all]==1.0.0",
 ]
 
 [dependency-groups]
 dev = [
-    "uv==0.10.9",
+    "uv==0.11.3",
     "flit==3.12.0",
-    "ruff==0.15.5",
+    "ruff==0.15.8",
     "pytest==9.0.2",
     "pytest-asyncio==1.3.0",
-    "pytest-cov==7.0.0",
+    "pytest-cov==7.1.0",
     "pytest-xdist[psutil]==3.8.0",
     "pytest-timeout==2.4.0",
     "pytest-retry==1.7.0",
-    "mypy==1.19.1",
+    "mypy==1.20.0",
     "pyright==1.1.408",
-    "mcp[ws]>=1.24.0,<2",
-    "opentelemetry-sdk>=1.39.0,<2",
+    "mcp[ws]==1.26.0",
+    "opentelemetry-sdk==1.40.0",
     #tasks
     "poethepoet==0.42.1",
-    "rich==13.7.1",
-    "tomli==2.4.0",
-    "prek==0.3.4",
+    "rich>=13.7.1,<15.0.0",
+    "tomli==2.4.1",
+    "prek==0.3.8",
 ]
 
 [tool.uv]
@@ -365,7 +365,6 @@ sequence = [
     { ref = "install" },
     { ref = "check" },
     { ref = "typing" },
-    { ref = "test" },
 ]
 
 [tool.poe.tasks.add-dependency-to-project]
diff --git a/python/samples/01-get-started/README.md b/python/samples/01-get-started/README.md
index d89457468a..9ecfdf08c9 100644
--- a/python/samples/01-get-started/README.md
+++ b/python/samples/01-get-started/README.md
@@ -6,7 +6,7 @@ concepts of **Agent Framework** one step at a time.
 ## Prerequisites
 
 ```bash
-pip install agent-framework --pre
+pip install agent-framework
 ```
 
 Set the required environment variables:
diff --git a/python/samples/02-agents/chat_client/built_in_chat_clients.py b/python/samples/02-agents/chat_client/built_in_chat_clients.py
index 6da647b1eb..4d79cc17b4 100644
--- a/python/samples/02-agents/chat_client/built_in_chat_clients.py
+++ b/python/samples/02-agents/chat_client/built_in_chat_clients.py
@@ -88,7 +88,7 @@ async def main(client_name: ClientName = "openai_chat") -> None:
     """Run a basic prompt using a selected built-in client."""
     client = get_client(client_name)
 
-    message = Message("user", text="What's the weather in Amsterdam and in Paris?")
+    message = Message("user", contents=["What's the weather in Amsterdam and in Paris?"])
     stream = os.getenv("STREAM", "false").lower() == "true"
     print(f"Client: {client_name}")
     print(f"User: {message.text}")
diff --git a/python/samples/02-agents/chat_client/chat_response_cancellation.py b/python/samples/02-agents/chat_client/chat_response_cancellation.py
index 1455026d64..cd82be2602 100644
--- a/python/samples/02-agents/chat_client/chat_response_cancellation.py
+++ b/python/samples/02-agents/chat_client/chat_response_cancellation.py
@@ -31,7 +31,7 @@ async def main() -> None:
 
     try:
         task = asyncio.create_task(
-            client.get_response(messages=[Message(role="user", text="Tell me a fantasy story.")])
+            client.get_response(messages=[Message(role="user", contents=["Tell me a fantasy story."])])
         )
         await asyncio.sleep(1)
         task.cancel()
diff --git a/python/samples/02-agents/chat_client/custom_chat_client.py b/python/samples/02-agents/chat_client/custom_chat_client.py
index 7a7406f23e..6027db4d37 100644
--- a/python/samples/02-agents/chat_client/custom_chat_client.py
+++ b/python/samples/02-agents/chat_client/custom_chat_client.py
@@ -98,7 +98,7 @@ class EchoingChatClient(BaseChatClient[OptionsT]):
             response_text = f"{response_text} {suffix}"
         stream_delay_seconds = float(options.get("stream_delay_seconds", 0.05))
 
-        response_message = Message(role="assistant", text=response_text)
+        response_message = Message(role="assistant", contents=[response_text])
 
         response = ChatResponse(
             messages=[response_message],
@@ -150,7 +150,7 @@ async def main() -> None:
     # Use the chat client directly
     print("Using chat client directly:")
     direct_response = await echo_client.get_response(
-        [Message(role="user", text="Hello, custom chat client!")],
+        [Message(role="user", contents=["Hello, custom chat client!"])],
         options={
             "uppercase": True,
             "suffix": "(CUSTOM OPTIONS)",
diff --git a/python/samples/02-agents/compaction/advanced.py b/python/samples/02-agents/compaction/advanced.py
index 7cf1fc7f39..12482f131a 100644
--- a/python/samples/02-agents/compaction/advanced.py
+++ b/python/samples/02-agents/compaction/advanced.py
@@ -35,25 +35,27 @@ class BudgetSummaryClient:
         **kwargs: Any,
     ) -> ChatResponse:
         summary_text = f"Budget summary generated from {len(messages)} prompt messages."
-        return ChatResponse(messages=[Message(role="assistant", text=summary_text)])
+        return ChatResponse(messages=[Message(role="assistant", contents=[summary_text])])
 
 
 def _build_long_history() -> list[Message]:
-    history = [Message(role="system", text="You are a migration copilot.")]
+    history = [Message(role="system", contents=["You are a migration copilot."])]
     for i in range(1, 8):
         history.append(
             Message(
                 role="user",
-                text=f"Iteration {i}: capture migration requirements and edge cases.",
+                contents=[f"Iteration {i}: capture migration requirements and edge cases."],
             )
         )
         history.append(
             Message(
                 role="assistant",
-                text=(
-                    f"Iteration {i}: detailed plan with dependencies, rollback guidance, and testing details. "
-                    "This sentence is intentionally long to create token pressure."
-                ),
+                contents=[
+                    (
+                        f"Iteration {i}: detailed plan with dependencies, rollback guidance, and testing details. "
+                        "This sentence is intentionally long to create token pressure."
+                    )
+                ],
             )
         )
     return history
diff --git a/python/samples/02-agents/compaction/agent_client_overrides.py b/python/samples/02-agents/compaction/agent_client_overrides.py
index bed7baa2a1..cca8898dd3 100644
--- a/python/samples/02-agents/compaction/agent_client_overrides.py
+++ b/python/samples/02-agents/compaction/agent_client_overrides.py
@@ -57,17 +57,17 @@ class InspectingChatClient(BaseChatClient[Any]):
         self.last_messages = list(messages)
 
         async def _get_response() -> ChatResponse:
-            return ChatResponse(messages=[Message(role="assistant", text="done")])
+            return ChatResponse(messages=[Message(role="assistant", contents=["done"])])
 
         return _get_response()
 
 
 def _build_messages() -> list[Message]:
     return [
-        Message(role="user", text="Collect the deployment requirements."),
-        Message(role="assistant", text="I will gather the constraints first."),
-        Message(role="user", text="Summarize the rollout risks."),
-        Message(role="assistant", text="The main risks are drift, downtime, and rollback gaps."),
+        Message(role="user", contents=["Collect the deployment requirements."]),
+        Message(role="assistant", contents=["I will gather the constraints first."]),
+        Message(role="user", contents=["Summarize the rollout risks."]),
+        Message(role="assistant", contents=["The main risks are drift, downtime, and rollback gaps."]),
     ]
 
 
diff --git a/python/samples/02-agents/compaction/basics.py b/python/samples/02-agents/compaction/basics.py
index b75f9b5f47..a07524a037 100644
--- a/python/samples/02-agents/compaction/basics.py
+++ b/python/samples/02-agents/compaction/basics.py
@@ -51,15 +51,15 @@ class LocalSummaryClient:
         options: dict[str, Any] | None = None,
         **kwargs: Any,
     ) -> ChatResponse:
-        return ChatResponse(messages=[Message(role="assistant", text=f"Summary for {len(messages)} messages.")])
+        return ChatResponse(messages=[Message(role="assistant", contents=[f"Summary for {len(messages)} messages."])])
 
 
 async def main() -> None:
     # 1. Build one baseline history and print it once.
     messages = [
-        Message(role="system", text="You are a helpful assistant."),
-        Message(role="user", text="Plan a data migration."),
-        Message(role="assistant", text="I will gather requirements."),
+        Message(role="system", contents=["You are a helpful assistant."]),
+        Message(role="user", contents=["Plan a data migration."]),
+        Message(role="assistant", contents=["I will gather requirements."]),
         Message(
             role="assistant",
             contents=[
@@ -79,9 +79,9 @@ async def main() -> None:
                 )
             ],
         ),
-        Message(role="assistant", text="I found three core tables."),
-        Message(role="user", text="Estimate effort and risks."),
-        Message(role="assistant", text="Primary risk is schema drift."),
+        Message(role="assistant", contents=["I found three core tables."]),
+        Message(role="user", contents=["Estimate effort and risks."]),
+        Message(role="assistant", contents=["Primary risk is schema drift."]),
     ]
     print("\n--- Before compaction ---")
     print(f"Message count: {len(messages)}")
diff --git a/python/samples/02-agents/compaction/custom.py b/python/samples/02-agents/compaction/custom.py
index da6acb066b..05302314fb 100644
--- a/python/samples/02-agents/compaction/custom.py
+++ b/python/samples/02-agents/compaction/custom.py
@@ -50,11 +50,11 @@ class KeepLastUserTurnStrategy:
 
 def _messages() -> list[Message]:
     return [
-        Message(role="system", text="You are concise."),
-        Message(role="user", text="first request"),
-        Message(role="assistant", text="first response"),
-        Message(role="user", text="second request"),
-        Message(role="assistant", text="second response"),
+        Message(role="system", contents=["You are concise."]),
+        Message(role="user", contents=["first request"]),
+        Message(role="assistant", contents=["first response"]),
+        Message(role="user", contents=["second request"]),
+        Message(role="assistant", contents=["second response"]),
     ]
 
 
diff --git a/python/samples/02-agents/compaction/tiktoken_tokenizer.py b/python/samples/02-agents/compaction/tiktoken_tokenizer.py
index ef109eaaa3..2d87036ce7 100644
--- a/python/samples/02-agents/compaction/tiktoken_tokenizer.py
+++ b/python/samples/02-agents/compaction/tiktoken_tokenizer.py
@@ -45,30 +45,34 @@ class TiktokenTokenizer(TokenizerProtocol):
 
 def _build_messages() -> list[Message]:
     return [
-        Message(role="system", text="You are a migration assistant."),
+        Message(role="system", contents=["You are a migration assistant."]),
         Message(
             role="user",
-            text="List all migration risks and include detailed mitigations for each risk category.",
+            contents=["List all migration risks and include detailed mitigations for each risk category."],
         ),
         Message(
             role="assistant",
-            text=(
-                "Primary risks include schema drift, missing foreign key constraints, "
-                "and data quality regressions. Mitigations include staged validation, "
-                "shadow writes, and replay-based verification."
-            ),
+            contents=[
+                (
+                    "Primary risks include schema drift, missing foreign key constraints, "
+                    "and data quality regressions. Mitigations include staged validation, "
+                    "shadow writes, and replay-based verification."
+                )
+            ],
         ),
         Message(
             role="user",
-            text=("Now provide a detailed checklist with owners, rollback gates, and validation criteria."),
+            contents=[("Now provide a detailed checklist with owners, rollback gates, and validation criteria.")],
         ),
         Message(
             role="assistant",
-            text=(
-                "Checklist: baseline snapshots, migration dry-run, production "
-                "canary, progressive deployment, automated integrity checks, and "
-                "post-migration reconciliation."
-            ),
+            contents=[
+                (
+                    "Checklist: baseline snapshots, migration dry-run, production "
+                    "canary, progressive deployment, automated integrity checks, and "
+                    "post-migration reconciliation."
+                )
+            ],
         ),
     ]
 
diff --git a/python/samples/02-agents/context_providers/README.md b/python/samples/02-agents/context_providers/README.md
index 86137b344b..04f3a1395f 100644
--- a/python/samples/02-agents/context_providers/README.md
+++ b/python/samples/02-agents/context_providers/README.md
@@ -6,7 +6,7 @@ These samples demonstrate how to use context providers to enrich agent conversat
 
 | File / Folder | Description |
 |---------------|-------------|
-| [`simple_context_provider.py`](simple_context_provider.py) | Implement a custom context provider by extending `BaseContextProvider` to extract and inject structured user information across turns. |
+| [`simple_context_provider.py`](simple_context_provider.py) | Implement a custom context provider by extending `ContextProvider` to extract and inject structured user information across turns. |
 | [`azure_ai_foundry_memory.py`](azure_ai_foundry_memory.py) | Use `FoundryMemoryProvider` to add semantic memory — automatically retrieves, searches, and stores memories via Azure AI Foundry. |
 | [`azure_ai_search/`](azure_ai_search/) | Retrieval Augmented Generation (RAG) with Azure AI Search in semantic and agentic modes. See its own [README](azure_ai_search/README.md). |
 | [`mem0/`](mem0/) | Memory-powered context using the Mem0 integration (open-source and managed). See its own [README](mem0/README.md). |
diff --git a/python/samples/02-agents/conversations/README.md b/python/samples/02-agents/conversations/README.md
index c516d7d639..becacd9134 100644
--- a/python/samples/02-agents/conversations/README.md
+++ b/python/samples/02-agents/conversations/README.md
@@ -7,7 +7,7 @@ These samples demonstrate different approaches to managing conversation history
 | File | Description |
 |------|-------------|
 | [`suspend_resume_session.py`](suspend_resume_session.py) | Suspend and resume conversation sessions, comparing service-managed sessions (Azure AI Foundry) with in-memory sessions (OpenAI). |
-| [`custom_history_provider.py`](custom_history_provider.py) | Implement a custom history provider by extending `BaseHistoryProvider`, enabling conversation persistence in your preferred storage backend. |
+| [`custom_history_provider.py`](custom_history_provider.py) | Implement a custom history provider by extending `HistoryProvider`, enabling conversation persistence in your preferred storage backend. |
 | [`cosmos_history_provider.py`](cosmos_history_provider.py) | Use Azure Cosmos DB as a history provider for durable conversation storage with `CosmosHistoryProvider`. |
 | [`redis_history_provider.py`](redis_history_provider.py) | Use Redis as a history provider for persistent conversation history storage across sessions. |
 
diff --git a/python/samples/02-agents/declarative/README.md b/python/samples/02-agents/declarative/README.md
index 8e6f796081..e1453e7d52 100644
--- a/python/samples/02-agents/declarative/README.md
+++ b/python/samples/02-agents/declarative/README.md
@@ -43,7 +43,7 @@ Shows how to create an agent that can search and retrieve information from Micro
 - Uses Azure CLI credentials for authentication
 - Leverages MCP to access Microsoft documentation tools
 
-**Requirements**: `pip install agent-framework-foundry --pre`
+**Requirements**: `pip install agent-framework-foundry`
 
 **Key concepts**: Azure AI Foundry integration, MCP server usage, async patterns, resource management
 
@@ -53,7 +53,7 @@ Shows how to create an agent using an inline YAML string rather than a file.
 
 - Uses Azure AI Foundry v2 Client with instructions.
 
-**Requirements**: `pip install agent-framework-foundry --pre`
+**Requirements**: `pip install agent-framework-foundry`
 
 **Key concepts**: Inline YAML definition.
 
diff --git a/python/samples/02-agents/declarative/azure_openai_responses_agent.py b/python/samples/02-agents/declarative/azure_openai_responses_agent.py
index 020399daa5..7a02c3a53d 100644
--- a/python/samples/02-agents/declarative/azure_openai_responses_agent.py
+++ b/python/samples/02-agents/declarative/azure_openai_responses_agent.py
@@ -14,7 +14,13 @@ async def main():
     """Create an agent from a declarative yaml specification and run it."""
     # get the path
     current_path = Path(__file__).parent
-    yaml_path = current_path.parent.parent.parent.parent / "declarative-agents" / "agent-samples" / "azure" / "AzureOpenAIResponses.yaml"
+    yaml_path = (
+        current_path.parent.parent.parent.parent
+        / "declarative-agents"
+        / "agent-samples"
+        / "azure"
+        / "AzureOpenAIResponses.yaml"
+    )
     # load the yaml from the path
     with yaml_path.open("r") as f:
         yaml_str = f.read()
diff --git a/python/samples/02-agents/declarative/get_weather_agent.py b/python/samples/02-agents/declarative/get_weather_agent.py
index a5ee2e3670..966ea2b734 100644
--- a/python/samples/02-agents/declarative/get_weather_agent.py
+++ b/python/samples/02-agents/declarative/get_weather_agent.py
@@ -22,7 +22,13 @@ async def main():
     """Create an agent from a declarative yaml specification and run it."""
     # get the path
     current_path = Path(__file__).parent
-    yaml_path = current_path.parent.parent.parent.parent / "declarative-agents" / "agent-samples" / "chatclient" / "GetWeather.yaml"
+    yaml_path = (
+        current_path.parent.parent.parent.parent
+        / "declarative-agents"
+        / "agent-samples"
+        / "chatclient"
+        / "GetWeather.yaml"
+    )
     # load the yaml from the path
     with yaml_path.open("r") as f:
         yaml_str = f.read()
diff --git a/python/samples/02-agents/declarative/microsoft_learn_agent.py b/python/samples/02-agents/declarative/microsoft_learn_agent.py
index 59d603886c..b35965b173 100644
--- a/python/samples/02-agents/declarative/microsoft_learn_agent.py
+++ b/python/samples/02-agents/declarative/microsoft_learn_agent.py
@@ -28,7 +28,13 @@ async def main():
     """Create an agent from a declarative yaml specification and run it."""
     # get the path
     current_path = Path(__file__).parent
-    yaml_path = current_path.parent.parent.parent.parent / "declarative-agents" / "agent-samples" / "foundry" / "MicrosoftLearnAgent.yaml"
+    yaml_path = (
+        current_path.parent.parent.parent.parent
+        / "declarative-agents"
+        / "agent-samples"
+        / "foundry"
+        / "MicrosoftLearnAgent.yaml"
+    )
     # create the agent from the yaml
     async with (
         AzureCliCredential() as credential,
diff --git a/python/samples/02-agents/declarative/openai_agent.py b/python/samples/02-agents/declarative/openai_agent.py
index 0bb9a91e72..621805db4e 100644
--- a/python/samples/02-agents/declarative/openai_agent.py
+++ b/python/samples/02-agents/declarative/openai_agent.py
@@ -13,7 +13,13 @@ async def main():
     """Create an agent from a declarative yaml specification and run it."""
     # get the path
     current_path = Path(__file__).parent
-    yaml_path = current_path.parent.parent.parent.parent / "declarative-agents" / "agent-samples" / "openai" / "OpenAIResponses.yaml"
+    yaml_path = (
+        current_path.parent.parent.parent.parent
+        / "declarative-agents"
+        / "agent-samples"
+        / "openai"
+        / "OpenAIResponses.yaml"
+    )
     # create the agent from the yaml
     agent = AgentFactory(safe_mode=False).create_agent_from_yaml_path(yaml_path)
     # use the agent
diff --git a/python/samples/02-agents/devui/agent_weather/agent.py b/python/samples/02-agents/devui/agent_weather/agent.py
index bfbcea294b..201053ab92 100644
--- a/python/samples/02-agents/devui/agent_weather/agent.py
+++ b/python/samples/02-agents/devui/agent_weather/agent.py
@@ -68,7 +68,7 @@ async def security_filter_middleware(
                             role="assistant",
                         )
 
-                    response = ChatResponse(messages=[Message(role="assistant", text=error_message)])
+                    response = ChatResponse(messages=[Message(role="assistant", contents=[error_message])])
                     context.result = ResponseStream(blocked_stream(), finalizer=lambda _, r=response: r)
                 else:
                     # Non-streaming mode: return complete response
@@ -76,7 +76,7 @@ async def security_filter_middleware(
                         messages=[
                             Message(
                                 role="assistant",
-                                text=error_message,
+                                contents=[error_message],
                             )
                         ]
                     )
diff --git a/python/samples/02-agents/middleware/chat_middleware.py b/python/samples/02-agents/middleware/chat_middleware.py
index 8234e30776..e5604bbd6b 100644
--- a/python/samples/02-agents/middleware/chat_middleware.py
+++ b/python/samples/02-agents/middleware/chat_middleware.py
@@ -127,9 +127,13 @@ async def security_and_override_middleware(
                         messages=[
                             Message(
                                 role="assistant",
-                                text="I cannot process requests containing sensitive information. "
-                                "Please rephrase your question without including passwords, secrets, or other "
-                                "sensitive data.",
+                                contents=[
+                                    (
+                                        "I cannot process requests containing sensitive information. "
+                                        "Please rephrase your question without including passwords, secrets, or other "
+                                        "sensitive data."
+                                    )
+                                ],
                             )
                         ]
                     )
diff --git a/python/samples/02-agents/middleware/middleware_termination.py b/python/samples/02-agents/middleware/middleware_termination.py
index a5d8e00340..02d8d8cf53 100644
--- a/python/samples/02-agents/middleware/middleware_termination.py
+++ b/python/samples/02-agents/middleware/middleware_termination.py
@@ -71,10 +71,12 @@ class PreTerminationMiddleware(AgentMiddleware):
                         messages=[
                             Message(
                                 role="assistant",
-                                text=(
-                                    f"Sorry, I cannot process requests containing '{blocked_word}'. "
-                                    "Please rephrase your question."
-                                ),
+                                contents=[
+                                    (
+                                        f"Sorry, I cannot process requests containing '{blocked_word}'. "
+                                        "Please rephrase your question."
+                                    )
+                                ],
                             )
                         ]
                     )
diff --git a/python/samples/02-agents/middleware/override_result_with_middleware.py b/python/samples/02-agents/middleware/override_result_with_middleware.py
index 2aa02da577..5e886290cf 100644
--- a/python/samples/02-agents/middleware/override_result_with_middleware.py
+++ b/python/samples/02-agents/middleware/override_result_with_middleware.py
@@ -86,7 +86,7 @@ async def weather_override_middleware(context: ChatContext, call_next: Callable[
             # For non-streaming: just replace with a new message
             current_text = context.result.text if isinstance(context.result, ChatResponse) else ""
             custom_message = f"Weather Advisory: [0] {''.join(chunks)} Original message was: {current_text}"
-            context.result = ChatResponse(messages=[Message(role="assistant", text=custom_message)])
+            context.result = ChatResponse(messages=[Message(role="assistant", contents=[custom_message])])
 
 
 async def validate_weather_middleware(context: ChatContext, call_next: Callable[[], Awaitable[None]]) -> None:
@@ -111,7 +111,7 @@ async def validate_weather_middleware(context: ChatContext, call_next: Callable[
 
         context.result = ResponseStream(_validated_stream(), finalizer=ChatResponse.from_updates)
     elif isinstance(context.result, ChatResponse):
-        context.result.messages.append(Message(role="assistant", text=validation_note))
+        context.result.messages.append(Message(role="assistant", contents=[validation_note]))
 
 
 async def agent_cleanup_middleware(context: AgentContext, call_next: Callable[[], Awaitable[None]]) -> None:
@@ -153,7 +153,7 @@ async def agent_cleanup_middleware(context: AgentContext, call_next: Callable[[]
             cleaned_messages.append(
                 Message(
                     role=message.role,
-                    text=text,
+                    contents=[text],
                     author_name=message.author_name,
                     message_id=message.message_id,
                     additional_properties=message.additional_properties,
@@ -166,7 +166,7 @@ async def agent_cleanup_middleware(context: AgentContext, call_next: Callable[[]
         if not found_validation:
             raise RuntimeError("Expected validation note not found in agent response.")
 
-        cleaned_messages.append(Message(role="assistant", text=" Agent: OK"))
+        cleaned_messages.append(Message(role="assistant", contents=[" Agent: OK"]))
         response.messages = cleaned_messages
         return response
 
diff --git a/python/samples/02-agents/observability/advanced_manual_setup_console_output.py b/python/samples/02-agents/observability/advanced_manual_setup_console_output.py
index 3f16a47455..722cbf445a 100644
--- a/python/samples/02-agents/observability/advanced_manual_setup_console_output.py
+++ b/python/samples/02-agents/observability/advanced_manual_setup_console_output.py
@@ -121,7 +121,7 @@ async def run_chat_client() -> None:
     print(f"User: {message}")
     print("Assistant: ", end="")
     async for chunk in client.get_response(
-        [Message(role="user", text=message)],
+        [Message(role="user", contents=[message])],
         stream=True,
         options={"tools": [get_weather]},
     ):
diff --git a/python/samples/02-agents/observability/advanced_zero_code.py b/python/samples/02-agents/observability/advanced_zero_code.py
index 8f356f4d2e..dffd26a0fc 100644
--- a/python/samples/02-agents/observability/advanced_zero_code.py
+++ b/python/samples/02-agents/observability/advanced_zero_code.py
@@ -92,7 +92,7 @@ async def run_chat_client(client: "SupportsChatGetResponse", stream: bool = Fals
     if stream:
         print("Assistant: ", end="")
         async for chunk in client.get_response(
-            [Message(role="user", text=message)],
+            [Message(role="user", contents=[message])],
             stream=True,
             options={"tools": [get_weather]},
         ):
@@ -101,7 +101,7 @@ async def run_chat_client(client: "SupportsChatGetResponse", stream: bool = Fals
         print("")
     else:
         response = await client.get_response(
-            [Message(role="user", text=message)],
+            [Message(role="user", contents=[message])],
             options={"tools": [get_weather]},
         )
         print(f"Assistant: {response}")
diff --git a/python/samples/02-agents/observability/configure_otel_providers_with_env_var.py b/python/samples/02-agents/observability/configure_otel_providers_with_env_var.py
index b9e56df8ff..9f96564c50 100644
--- a/python/samples/02-agents/observability/configure_otel_providers_with_env_var.py
+++ b/python/samples/02-agents/observability/configure_otel_providers_with_env_var.py
@@ -80,7 +80,7 @@ async def run_chat_client(client: "SupportsChatGetResponse", stream: bool = Fals
         if stream:
             print("Assistant: ", end="")
             async for chunk in client.get_response(
-                [Message(role="user", text=message)],
+                [Message(role="user", contents=[message])],
                 stream=True,
                 options={"tools": [get_weather]},
             ):
@@ -89,7 +89,7 @@ async def run_chat_client(client: "SupportsChatGetResponse", stream: bool = Fals
             print("")
         else:
             response = await client.get_response(
-                [Message(role="user", text=message)],
+                [Message(role="user", contents=[message])],
                 options={"tools": [get_weather]},
             )
             print(f"Assistant: {response}")
diff --git a/python/samples/02-agents/observability/configure_otel_providers_with_parameters.py b/python/samples/02-agents/observability/configure_otel_providers_with_parameters.py
index 8fd6d76cd0..30c6b61331 100644
--- a/python/samples/02-agents/observability/configure_otel_providers_with_parameters.py
+++ b/python/samples/02-agents/observability/configure_otel_providers_with_parameters.py
@@ -84,7 +84,7 @@ async def run_chat_client(client: "SupportsChatGetResponse", stream: bool = Fals
         if stream:
             print("Assistant: ", end="")
             async for chunk in client.get_response(
-                [Message(role="user", text=message)],
+                [Message(role="user", contents=[message])],
                 stream=True,
                 options={"tools": [get_weather]},
             ):
@@ -93,7 +93,7 @@ async def run_chat_client(client: "SupportsChatGetResponse", stream: bool = Fals
             print("")
         else:
             response = await client.get_response(
-                [Message(role="user", text=message)],
+                [Message(role="user", contents=[message])],
                 options={"tools": [get_weather]},
             )
             print(f"Assistant: {response}")
diff --git a/python/samples/02-agents/providers/anthropic/anthropic_advanced.py b/python/samples/02-agents/providers/anthropic/anthropic_advanced.py
index b9647f104e..e6d3aec002 100644
--- a/python/samples/02-agents/providers/anthropic/anthropic_advanced.py
+++ b/python/samples/02-agents/providers/anthropic/anthropic_advanced.py
@@ -1,8 +1,9 @@
 # Copyright (c) Microsoft. All rights reserved.
 import asyncio
+import os
 
 from agent_framework import Agent
-from agent_framework.anthropic import AnthropicChatOptions, AnthropicClient
+from agent_framework.anthropic import AnthropicClient
 from dotenv import load_dotenv
 
 # Load environment variables from .env file
@@ -15,12 +16,20 @@ This sample demonstrates using Anthropic with:
 - Setting up an Anthropic-based agent with hosted tools.
 - Using the `thinking` feature.
 - Displaying both thinking and usage information during streaming responses.
+
+Environment variables:
+    ANTHROPIC_API_KEY    — Your Anthropic API key
+    ANTHROPIC_CHAT_MODEL — The Anthropic model to use (e.g., "claude-sonnet-4-6")
+
 """
 
 
 async def main() -> None:
     """Example of streaming response (get results as they are generated)."""
-    client = AnthropicClient[AnthropicChatOptions]()
+    client = AnthropicClient(
+        api_key=os.getenv("ANTHROPIC_API_KEY"),
+        model=os.getenv("ANTHROPIC_CHAT_MODEL"),
+    )
 
     # Create MCP tool configuration using instance method
     mcp_tool = client.get_mcp_tool(
diff --git a/python/samples/02-agents/providers/azure/openai_client_with_session.py b/python/samples/02-agents/providers/azure/openai_client_with_session.py
index ad1c87f2d2..8a1fe43f1e 100644
--- a/python/samples/02-agents/providers/azure/openai_client_with_session.py
+++ b/python/samples/02-agents/providers/azure/openai_client_with_session.py
@@ -76,19 +76,19 @@ async def example_with_session_persistence_in_memory() -> None:
     # First conversation
     query1 = "What's the weather like in Tokyo?"
     print(f"User: {query1}")
-    result1 = await agent.run(query1, session=session, store=False)
+    result1 = await agent.run(query1, session=session, options={"store": False})
     print(f"Agent: {result1.text}")
 
     # Second conversation using the same session - maintains context
     query2 = "How about London?"
     print(f"\nUser: {query2}")
-    result2 = await agent.run(query2, session=session, store=False)
+    result2 = await agent.run(query2, session=session, options={"store": False})
     print(f"Agent: {result2.text}")
 
     # Third conversation - agent should remember both previous cities
     query3 = "Which of the cities I asked about has better weather?"
     print(f"\nUser: {query3}")
-    result3 = await agent.run(query3, session=session, store=False)
+    result3 = await agent.run(query3, session=session, options={"store": False})
     print(f"Agent: {result3.text}")
     print("Note: The agent remembers context from previous messages in the same session.\n")
 
@@ -114,7 +114,7 @@ async def example_with_existing_session_id() -> None:
 
     query1 = "What's the weather in Paris?"
     print(f"User: {query1}")
-    result1 = await agent.run(query1, session=session)
+    result1 = await agent.run(query1, session=session, options={"store": False})
     print(f"Agent: {result1.text}")
 
     # The session ID is set after the first response
diff --git a/python/samples/02-agents/providers/foundry/README.md b/python/samples/02-agents/providers/foundry/README.md
index 164032b752..2025b0f4fe 100644
--- a/python/samples/02-agents/providers/foundry/README.md
+++ b/python/samples/02-agents/providers/foundry/README.md
@@ -9,7 +9,6 @@ This folder contains Azure AI Foundry and Foundry Local samples for Agent Framew
 | [`foundry_agent_basic.py`](foundry_agent_basic.py) | Foundry Agent basic example |
 | [`foundry_agent_custom_client.py`](foundry_agent_custom_client.py) | Foundry Agent custom client configuration |
 | [`foundry_agent_hosted.py`](foundry_agent_hosted.py) | Foundry Agent for hosted agents |
-| [`foundry_agent_with_env_vars.py`](foundry_agent_with_env_vars.py) | Foundry Agent using environment variables |
 | [`foundry_agent_with_function_tools.py`](foundry_agent_with_function_tools.py) | Foundry Agent with local function tools |
 
 ## FoundryChatClient Samples
diff --git a/python/samples/02-agents/providers/foundry/foundry_agent_custom_client.py b/python/samples/02-agents/providers/foundry/foundry_agent_custom_client.py
index 6ab3e44ee2..8db5b711ab 100644
--- a/python/samples/02-agents/providers/foundry/foundry_agent_custom_client.py
+++ b/python/samples/02-agents/providers/foundry/foundry_agent_custom_client.py
@@ -1,11 +1,13 @@
 # Copyright (c) Microsoft. All rights reserved.
-
 import asyncio
+import os
 
 from agent_framework import Agent
 from agent_framework.foundry import FoundryAgent, RawFoundryAgentChatClient
 from azure.identity import AzureCliCredential
+from dotenv import load_dotenv
 
+load_dotenv()
 """
 Foundry Agent — Custom client configuration
 
@@ -25,9 +27,9 @@ Environment variables:
 async def main() -> None:
     # Option 1: Default — full middleware on both agent and client
     agent = FoundryAgent(
-        project_endpoint="https://your-project.services.ai.azure.com",
-        agent_name="my-agent",
-        agent_version="1.0",
+        project_endpoint=os.getenv("FOUNDRY_PROJECT_ENDPOINT"),
+        agent_name=os.getenv("FOUNDRY_AGENT_NAME"),
+        agent_version=os.getenv("FOUNDRY_AGENT_VERSION"),
         credential=AzureCliCredential(),
     )
     result = await agent.run("Hello from the default setup!")
@@ -35,9 +37,9 @@ async def main() -> None:
 
     # Option 2: Raw client — no client-level middleware (agent middleware still active)
     agent_raw_client = FoundryAgent(
-        project_endpoint="https://your-project.services.ai.azure.com",
-        agent_name="my-agent",
-        agent_version="1.0",
+        project_endpoint=os.getenv("FOUNDRY_PROJECT_ENDPOINT"),
+        agent_name=os.getenv("FOUNDRY_AGENT_NAME"),
+        agent_version=os.getenv("FOUNDRY_AGENT_VERSION"),
         credential=AzureCliCredential(),
         client_type=RawFoundryAgentChatClient,
     )
@@ -47,9 +49,9 @@ async def main() -> None:
     # Option 3: Composition — use Agent(client=...) directly
     # this will not run the checks that the `FoundryAgent` does on things like tools.
     client = RawFoundryAgentChatClient(
-        project_endpoint="https://your-project.services.ai.azure.com",
-        agent_name="my-agent",
-        agent_version="1.0",
+        project_endpoint=os.getenv("FOUNDRY_PROJECT_ENDPOINT"),
+        agent_name=os.getenv("FOUNDRY_AGENT_NAME"),
+        agent_version=os.getenv("FOUNDRY_AGENT_VERSION"),
         credential=AzureCliCredential(),
     )
     agent_composed = Agent(client=client)
diff --git a/python/samples/02-agents/providers/foundry/foundry_agent_hosted.py b/python/samples/02-agents/providers/foundry/foundry_agent_hosted.py
index 188e374af9..1e9dbc6510 100644
--- a/python/samples/02-agents/providers/foundry/foundry_agent_hosted.py
+++ b/python/samples/02-agents/providers/foundry/foundry_agent_hosted.py
@@ -1,9 +1,13 @@
 # Copyright (c) Microsoft. All rights reserved.
 
 import asyncio
+import os
 
 from agent_framework.foundry import FoundryAgent
 from azure.identity import AzureCliCredential
+from dotenv import load_dotenv
+
+load_dotenv()
 
 """
 Foundry Agent — Connect to a HostedAgent (no version needed)
@@ -20,8 +24,8 @@ Environment variables:
 async def main() -> None:
     # HostedAgents don't need agent_version
     agent = FoundryAgent(
-        project_endpoint="https://your-project.services.ai.azure.com",
-        agent_name="my-hosted-agent",
+        project_endpoint=os.getenv("FOUNDRY_PROJECT_ENDPOINT"),
+        agent_name=os.getenv("FOUNDRY_AGENT_NAME"),
         credential=AzureCliCredential(),
     )
 
diff --git a/python/samples/02-agents/providers/foundry/foundry_agent_with_env_vars.py b/python/samples/02-agents/providers/foundry/foundry_agent_with_env_vars.py
deleted file mode 100644
index 4b64025de4..0000000000
--- a/python/samples/02-agents/providers/foundry/foundry_agent_with_env_vars.py
+++ /dev/null
@@ -1,40 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-import asyncio
-import os
-
-from agent_framework.foundry import FoundryAgent
-from azure.identity import AzureCliCredential
-
-"""
-Foundry Agent with Environment Variables
-
-This sample shows the recommended pattern for advanced samples that use
-environment variables for configuration.
-
-Environment variables:
-    FOUNDRY_PROJECT_ENDPOINT — Azure AI Foundry project endpoint
-    FOUNDRY_AGENT_NAME       — Name of the agent in Foundry
-    FOUNDRY_AGENT_VERSION    — Version of the agent (optional, for PromptAgents)
-"""
-
-
-async def main() -> None:
-    agent = FoundryAgent(
-        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
-        agent_name=os.environ["FOUNDRY_AGENT_NAME"],
-        agent_version=os.environ.get("FOUNDRY_AGENT_VERSION"),
-        credential=AzureCliCredential(),
-    )
-
-    session = agent.create_session()
-
-    result = await agent.run("Hello! My name is Alice.", session=session)
-    print(f"Agent: {result}\n")
-
-    result = await agent.run("What's my name?", session=session)
-    print(f"Agent: {result}")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
diff --git a/python/samples/02-agents/providers/foundry/foundry_agent_with_function_tools.py b/python/samples/02-agents/providers/foundry/foundry_agent_with_function_tools.py
index 29277d563f..2915cee1b6 100644
--- a/python/samples/02-agents/providers/foundry/foundry_agent_with_function_tools.py
+++ b/python/samples/02-agents/providers/foundry/foundry_agent_with_function_tools.py
@@ -1,13 +1,14 @@
 # Copyright (c) Microsoft. All rights reserved.
 
 import asyncio
+import os
 from typing import Annotated
 
-from agent_framework import tool
 from agent_framework.foundry import FoundryAgent
 from azure.identity import AzureCliCredential
-from pydantic import Field
+from dotenv import load_dotenv
 
+load_dotenv()
 """
 Foundry Agent with Local Function Tools
 
@@ -25,9 +26,8 @@ Environment variables:
 """
 
 
-@tool(approval_mode="never_require")
 def get_weather(
-    location: Annotated[str, Field(description="The city to get weather for.")],
+    location: Annotated[str, "The city to get weather for."],
 ) -> str:
     """Get the current weather for a location."""
     return f"The weather in {location} is sunny, 22°C."
@@ -35,11 +35,11 @@ def get_weather(
 
 async def main() -> None:
     agent = FoundryAgent(
-        project_endpoint="https://your-project.services.ai.azure.com",
-        agent_name="my-weather-agent",
-        agent_version="1.0",
+        project_endpoint=os.getenv("FOUNDRY_PROJECT_ENDPOINT"),
+        agent_name=os.getenv("FOUNDRY_AGENT_NAME"),
+        agent_version=os.getenv("FOUNDRY_AGENT_VERSION"),
         credential=AzureCliCredential(),
-        tools=[get_weather],
+        tools=get_weather,
     )
 
     result = await agent.run("What's the weather in Paris?")
diff --git a/python/samples/02-agents/providers/foundry/foundry_chat_client_code_interpreter_files.py b/python/samples/02-agents/providers/foundry/foundry_chat_client_code_interpreter_files.py
index 1e156da17c..6fff2c3069 100644
--- a/python/samples/02-agents/providers/foundry/foundry_chat_client_code_interpreter_files.py
+++ b/python/samples/02-agents/providers/foundry/foundry_chat_client_code_interpreter_files.py
@@ -8,9 +8,8 @@ from agent_framework import Agent
 from agent_framework.foundry import FoundryChatClient
 from azure.identity import AzureCliCredential
 from dotenv import load_dotenv
-from openai import AsyncAzureOpenAI
+from openai import AsyncOpenAI
 
-# Load environment variables from .env file
 load_dotenv()
 
 """
@@ -18,12 +17,16 @@ Foundry Chat Client with Code Interpreter and Files Example
 
 This sample demonstrates using get_code_interpreter_tool() with Responses on Foundry
 for Python code execution and data analysis with uploaded files.
+
+Environment variables:
+    FOUNDRY_PROJECT_ENDPOINT — Foundry project endpoint
+    FOUNDRY_MODEL            — Foundry model to use (e.g. "gpt-4o-mini")
 """
 
 # Helper functions
 
 
-async def create_sample_file_and_upload(openai_client: AsyncAzureOpenAI) -> tuple[str, str]:
+async def create_sample_file_and_upload(openai_client: AsyncOpenAI) -> tuple[str, str]:
     """Create a sample CSV file and upload it for Foundry code interpreter use."""
     csv_data = """name,department,salary,years_experience
 Alice Johnson,Engineering,95000,5
@@ -51,7 +54,7 @@ Frank Wilson,Engineering,88000,6
     return temp_file_path, uploaded_file.id
 
 
-async def cleanup_files(openai_client: AsyncAzureOpenAI, temp_file_path: str, file_id: str) -> None:
+async def cleanup_files(openai_client: AsyncOpenAI, temp_file_path: str, file_id: str) -> None:
     """Clean up both local temporary file and uploaded file."""
     # Clean up: delete the uploaded file
     await openai_client.files.delete(file_id)
@@ -65,39 +68,29 @@ async def cleanup_files(openai_client: AsyncAzureOpenAI, temp_file_path: str, fi
 async def main() -> None:
     print("=== Foundry Chat Client with Code Interpreter and File Upload ===")
 
-    # Initialize the underlying OpenAI client for file operations
-    credential = AzureCliCredential()
-
-    async def get_token():
-        token = credential.get_token("https://cognitiveservices.azure.com/.default")
-        return token.token
-
-    openai_client = AsyncAzureOpenAI(
-        azure_ad_token_provider=get_token,
-        api_version="2024-05-01-preview",
+    # Create the FoundryChatClient
+    client = FoundryChatClient(
+        project_endpoint=os.getenv("FOUNDRY_PROJECT_ENDPOINT"),
+        model=os.getenv("FOUNDRY_MODEL"),
+        credential=AzureCliCredential(),
     )
-
+    # use the openai client from the foundry client to upload files for the code interpreter tool
+    openai_client = client.project_client.get_openai_client()
     temp_file_path, file_id = await create_sample_file_and_upload(openai_client)
-
-    # Create agent using FoundryChatClient
-    client = FoundryChatClient(credential=credential)
-
-    # Create code interpreter tool with file access
-    code_interpreter_tool = client.get_code_interpreter_tool(file_ids=[file_id])
-
+    # Create agent with code interpreter tool with file access
     agent = Agent(
         client=client,
         instructions="You are a helpful assistant that can analyze data files using Python code.",
-        tools=[code_interpreter_tool],
+        tools=FoundryChatClient.get_code_interpreter_tool(file_ids=[file_id]),
     )
-
-    # Test the code interpreter with the uploaded file
-    query = "Analyze the employee data in the uploaded CSV file. Calculate average salary by department."
-    print(f"User: {query}")
-    result = await agent.run(query)
-    print(f"Agent: {result.text}")
-
-    await cleanup_files(openai_client, temp_file_path, file_id)
+    try:
+        # Test the code interpreter with the uploaded file
+        query = "Analyze the employee data in the uploaded CSV file. Calculate average salary by department."
+        print(f"User: {query}")
+        result = await agent.run(query)
+        print(f"Agent: {result.text}")
+    finally:
+        await cleanup_files(openai_client, temp_file_path, file_id)
 
 
 if __name__ == "__main__":
diff --git a/python/samples/02-agents/providers/ollama/ollama_chat_client.py b/python/samples/02-agents/providers/ollama/ollama_chat_client.py
index 15dbdf48aa..adf2d3818e 100644
--- a/python/samples/02-agents/providers/ollama/ollama_chat_client.py
+++ b/python/samples/02-agents/providers/ollama/ollama_chat_client.py
@@ -35,7 +35,7 @@ def get_time():
 async def main() -> None:
     client = OllamaChatClient()
     message = "What time is it? Use a tool call"
-    messages = [Message(role="user", text=message)]
+    messages = [Message(role="user", contents=[message])]
     stream = False
     print(f"User: {message}")
     if stream:
diff --git a/python/samples/02-agents/response_stream.py b/python/samples/02-agents/response_stream.py
index 840dc18b26..ad6d3df3ba 100644
--- a/python/samples/02-agents/response_stream.py
+++ b/python/samples/02-agents/response_stream.py
@@ -256,7 +256,7 @@ async def main() -> None:
         """Result hook that wraps the response text in quotes."""
         if response.text:
             return ChatResponse(
-                messages=[Message(text=f'"{response.text}"', role="assistant")],
+                messages=[Message(contents=[f'"{response.text}"'], role="assistant")],
                 additional_properties=response.additional_properties,
             )
         return response
@@ -293,7 +293,7 @@ async def main() -> None:
         # In real code, this would create an AgentResponse
         text = "".join(u.text or "" for u in updates)
         return ChatResponse(
-            messages=[Message(text=f"[AGENT FINAL] {text}", role="assistant")],
+            messages=[Message(contents=[f"[AGENT FINAL] {text}"], role="assistant")],
             additional_properties={"layer": "agent"},
         )
 
diff --git a/python/samples/02-agents/typed_options.py b/python/samples/02-agents/typed_options.py
index 65c2332892..b7c22a4151 100644
--- a/python/samples/02-agents/typed_options.py
+++ b/python/samples/02-agents/typed_options.py
@@ -42,7 +42,7 @@ async def demo_anthropic_chat_client() -> None:
 
     # Standard options work great:
     response = await client.get_response(
-        [Message("user", text="What is the capital of France?")],
+        [Message("user", contents=["What is the capital of France?"])],
         options={
             "temperature": 1,  # Must be 1 when thinking is enabled
             "max_tokens": 2048,
@@ -116,7 +116,7 @@ async def demo_openai_chat_client_reasoning_models() -> None:
     # With specific options, you get full IDE autocomplete!
     # Try typing `client.get_response("Hello", options={` and see the suggestions
     response = await client.get_response(
-        [Message("user", text="What is 2 + 2?")],
+        [Message("user", contents=["What is 2 + 2?"])],
         options={
             "max_tokens": 100,
             "allow_multiple_tool_calls": True,
diff --git a/python/samples/03-workflows/agents/azure_chat_agents_tool_calls_with_feedback.py b/python/samples/03-workflows/agents/azure_chat_agents_tool_calls_with_feedback.py
index 1034039a34..ba5c1a729b 100644
--- a/python/samples/03-workflows/agents/azure_chat_agents_tool_calls_with_feedback.py
+++ b/python/samples/03-workflows/agents/azure_chat_agents_tool_calls_with_feedback.py
@@ -149,7 +149,10 @@ class Coordinator(Executor):
             # Human approved the draft as-is; forward it unchanged.
             await ctx.send_message(
                 AgentExecutorRequest(
-                    messages=[*original_request.conversation, *[Message("user", text="The draft is approved as-is.")]],
+                    messages=[
+                        *original_request.conversation,
+                        *[Message("user", contents=["The draft is approved as-is."])],
+                    ],
                     should_respond=True,
                 ),
                 target_id=self.final_editor_id,
@@ -164,7 +167,7 @@ class Coordinator(Executor):
             "Keep the response under 120 words and reflect any requested tone adjustments."
         )
         await ctx.send_message(
-            AgentExecutorRequest(messages=[Message("user", text=instruction)], should_respond=True),
+            AgentExecutorRequest(messages=[Message("user", contents=[instruction])], should_respond=True),
             target_id=self.writer_id,
         )
 
diff --git a/python/samples/03-workflows/agents/workflow_as_agent_reflection_pattern.py b/python/samples/03-workflows/agents/workflow_as_agent_reflection_pattern.py
index d2d02c9581..705b5bacb4 100644
--- a/python/samples/03-workflows/agents/workflow_as_agent_reflection_pattern.py
+++ b/python/samples/03-workflows/agents/workflow_as_agent_reflection_pattern.py
@@ -84,15 +84,17 @@ class Reviewer(Executor):
         messages = [
             Message(
                 role="system",
-                text=(
-                    "You are a reviewer for an AI agent. Provide feedback on the "
-                    "exchange between a user and the agent. Indicate approval only if:\n"
-                    "- Relevance: response addresses the query\n"
-                    "- Accuracy: information is correct\n"
-                    "- Clarity: response is easy to understand\n"
-                    "- Completeness: response covers all aspects\n"
-                    "Do not approve until all criteria are satisfied."
-                ),
+                contents=[
+                    (
+                        "You are a reviewer for an AI agent. Provide feedback on the "
+                        "exchange between a user and the agent. Indicate approval only if:\n"
+                        "- Relevance: response addresses the query\n"
+                        "- Accuracy: information is correct\n"
+                        "- Clarity: response is easy to understand\n"
+                        "- Completeness: response covers all aspects\n"
+                        "Do not approve until all criteria are satisfied."
+                    )
+                ],
             )
         ]
         # Add conversation history.
diff --git a/python/samples/03-workflows/checkpoint/checkpoint_with_human_in_the_loop.py b/python/samples/03-workflows/checkpoint/checkpoint_with_human_in_the_loop.py
index 547bb1c6d3..adb43a0921 100644
--- a/python/samples/03-workflows/checkpoint/checkpoint_with_human_in_the_loop.py
+++ b/python/samples/03-workflows/checkpoint/checkpoint_with_human_in_the_loop.py
@@ -97,7 +97,7 @@ class BriefPreparer(Executor):
         # Hand the prompt to the writer agent. We always route through the
         # workflow context so the runtime can capture messages for checkpointing.
         await ctx.send_message(
-            AgentExecutorRequest(messages=[Message("user", text=prompt)], should_respond=True),
+            AgentExecutorRequest(messages=[Message("user", contents=[prompt])], should_respond=True),
             target_id=self._agent_id,
         )
 
@@ -159,7 +159,7 @@ class ReviewGateway(Executor):
             f"Human guidance: {reply}"
         )
         await ctx.send_message(
-            AgentExecutorRequest(messages=[Message("user", text=prompt)], should_respond=True),
+            AgentExecutorRequest(messages=[Message("user", contents=[prompt])], should_respond=True),
             target_id=self._writer_id,
         )
 
diff --git a/python/samples/03-workflows/control-flow/edge_condition.py b/python/samples/03-workflows/control-flow/edge_condition.py
index e7969b21aa..8cc9d1990e 100644
--- a/python/samples/03-workflows/control-flow/edge_condition.py
+++ b/python/samples/03-workflows/control-flow/edge_condition.py
@@ -129,7 +129,7 @@ async def to_email_assistant_request(
     """
     # Bridge executor. Converts a structured DetectionResult into a Message and forwards it as a new request.
     detection = DetectionResult.model_validate_json(response.agent_response.text)
-    user_msg = Message("user", text=detection.email_content)
+    user_msg = Message("user", contents=[detection.email_content])
     await ctx.send_message(AgentExecutorRequest(messages=[user_msg], should_respond=True))
 
 
@@ -200,7 +200,7 @@ async def main() -> None:
 
     # Execute the workflow. Since the start is an AgentExecutor, pass an AgentExecutorRequest.
     # The workflow completes when it becomes idle (no more work to do).
-    request = AgentExecutorRequest(messages=[Message("user", text=email)], should_respond=True)
+    request = AgentExecutorRequest(messages=[Message("user", contents=[email])], should_respond=True)
     events = await workflow.run(request)
     outputs = events.get_outputs()
     if outputs:
diff --git a/python/samples/03-workflows/control-flow/multi_selection_edge_group.py b/python/samples/03-workflows/control-flow/multi_selection_edge_group.py
index 36c7180642..ebf222d184 100644
--- a/python/samples/03-workflows/control-flow/multi_selection_edge_group.py
+++ b/python/samples/03-workflows/control-flow/multi_selection_edge_group.py
@@ -97,7 +97,7 @@ async def store_email(email_text: str, ctx: WorkflowContext[AgentExecutorRequest
     ctx.set_state(CURRENT_EMAIL_ID_KEY, new_email.email_id)
 
     await ctx.send_message(
-        AgentExecutorRequest(messages=[Message("user", text=new_email.email_content)], should_respond=True)
+        AgentExecutorRequest(messages=[Message("user", contents=[new_email.email_content])], should_respond=True)
     )
 
 
@@ -124,7 +124,7 @@ async def submit_to_email_assistant(analysis: AnalysisResult, ctx: WorkflowConte
 
     email: Email = ctx.get_state(f"{EMAIL_STATE_PREFIX}{analysis.email_id}")
     await ctx.send_message(
-        AgentExecutorRequest(messages=[Message("user", text=email.email_content)], should_respond=True)
+        AgentExecutorRequest(messages=[Message("user", contents=[email.email_content])], should_respond=True)
     )
 
 
@@ -139,7 +139,7 @@ async def summarize_email(analysis: AnalysisResult, ctx: WorkflowContext[AgentEx
     # Only called for long NotSpam emails by selection_func
     email: Email = ctx.get_state(f"{EMAIL_STATE_PREFIX}{analysis.email_id}")
     await ctx.send_message(
-        AgentExecutorRequest(messages=[Message("user", text=email.email_content)], should_respond=True)
+        AgentExecutorRequest(messages=[Message("user", contents=[email.email_content])], should_respond=True)
     )
 
 
diff --git a/python/samples/03-workflows/control-flow/simple_loop.py b/python/samples/03-workflows/control-flow/simple_loop.py
index 2f0734401d..d5368a480a 100644
--- a/python/samples/03-workflows/control-flow/simple_loop.py
+++ b/python/samples/03-workflows/control-flow/simple_loop.py
@@ -102,7 +102,7 @@ class SubmitToJudgeAgent(Executor):
             f"Target: {self._target}\nGuess: {guess}\nResponse:"
         )
         await ctx.send_message(
-            AgentExecutorRequest(messages=[Message("user", text=prompt)], should_respond=True),
+            AgentExecutorRequest(messages=[Message("user", contents=[prompt])], should_respond=True),
             target_id=self._judge_agent_id,
         )
 
diff --git a/python/samples/03-workflows/control-flow/switch_case_edge_group.py b/python/samples/03-workflows/control-flow/switch_case_edge_group.py
index 9036081a4d..ed183a5143 100644
--- a/python/samples/03-workflows/control-flow/switch_case_edge_group.py
+++ b/python/samples/03-workflows/control-flow/switch_case_edge_group.py
@@ -104,7 +104,7 @@ async def store_email(email_text: str, ctx: WorkflowContext[AgentExecutorRequest
 
     # Kick off the detector by forwarding the email as a user message to the spam_detection_agent.
     await ctx.send_message(
-        AgentExecutorRequest(messages=[Message("user", text=new_email.email_content)], should_respond=True)
+        AgentExecutorRequest(messages=[Message("user", contents=[new_email.email_content])], should_respond=True)
     )
 
 
@@ -125,7 +125,7 @@ async def submit_to_email_assistant(detection: DetectionResult, ctx: WorkflowCon
     # Load the original content from workflow state using the id carried in DetectionResult.
     email: Email = ctx.get_state(f"{EMAIL_STATE_PREFIX}{detection.email_id}")
     await ctx.send_message(
-        AgentExecutorRequest(messages=[Message("user", text=email.email_content)], should_respond=True)
+        AgentExecutorRequest(messages=[Message("user", contents=[email.email_content])], should_respond=True)
     )
 
 
diff --git a/python/samples/03-workflows/human-in-the-loop/agents_with_HITL.py b/python/samples/03-workflows/human-in-the-loop/agents_with_HITL.py
index 4d45047139..ec7a97aa1b 100644
--- a/python/samples/03-workflows/human-in-the-loop/agents_with_HITL.py
+++ b/python/samples/03-workflows/human-in-the-loop/agents_with_HITL.py
@@ -103,7 +103,8 @@ class Coordinator(Executor):
             # Human approved the draft as-is; forward it unchanged.
             await ctx.send_message(
                 AgentExecutorRequest(
-                    messages=original_request.conversation + [Message("user", text="The draft is approved as-is.")],
+                    messages=original_request.conversation
+                    + [Message("user", contents=["The draft is approved as-is."])],
                     should_respond=True,
                 ),
                 target_id=self.final_editor_name,
@@ -118,7 +119,7 @@ class Coordinator(Executor):
             "Rewrite the draft from the previous assistant message into a polished final version. "
             "Keep the response under 120 words and reflect any requested tone adjustments."
         )
-        conversation.append(Message("user", text=instruction))
+        conversation.append(Message("user", contents=[instruction]))
         await ctx.send_message(
             AgentExecutorRequest(messages=conversation, should_respond=True),
             target_id=self.writer_name,
diff --git a/python/samples/03-workflows/human-in-the-loop/concurrent_request_info.py b/python/samples/03-workflows/human-in-the-loop/concurrent_request_info.py
index 96dd8ccc52..bb5bb3a711 100644
--- a/python/samples/03-workflows/human-in-the-loop/concurrent_request_info.py
+++ b/python/samples/03-workflows/human-in-the-loop/concurrent_request_info.py
@@ -85,13 +85,15 @@ async def aggregate_with_synthesis(results: list[AgentExecutorResponse]) -> Any:
 
     system_msg = Message(
         "system",
-        text=(
-            "You are a synthesis expert. Consolidate the following analyst perspectives "
-            "into one cohesive, balanced summary (3-4 sentences). If human guidance is provided, "
-            "prioritize aspects as directed."
-        ),
+        contents=[
+            (
+                "You are a synthesis expert. Consolidate the following analyst perspectives "
+                "into one cohesive, balanced summary (3-4 sentences). If human guidance is provided, "
+                "prioritize aspects as directed."
+            )
+        ],
     )
-    user_msg = Message("user", text="\n\n".join(expert_sections) + guidance_text)
+    user_msg = Message("user", contents=["\n\n".join(expert_sections) + guidance_text])
 
     response = await _chat_client.get_response([system_msg, user_msg])
     return response.messages[-1].text if response.messages else ""
diff --git a/python/samples/03-workflows/human-in-the-loop/guessing_game_with_human_input.py b/python/samples/03-workflows/human-in-the-loop/guessing_game_with_human_input.py
index 14f6fa2cb0..0abba476fd 100644
--- a/python/samples/03-workflows/human-in-the-loop/guessing_game_with_human_input.py
+++ b/python/samples/03-workflows/human-in-the-loop/guessing_game_with_human_input.py
@@ -91,7 +91,7 @@ class TurnManager(Executor):
         - Input is a simple starter token (ignored here).
         - Output is an AgentExecutorRequest that triggers the agent to produce a guess.
         """
-        user = Message("user", text="Start by making your first guess.")
+        user = Message("user", contents=["Start by making your first guess."])
         await ctx.send_message(AgentExecutorRequest(messages=[user], should_respond=True))
 
     @handler
@@ -150,7 +150,7 @@ class TurnManager(Executor):
             f"Feedback: {reply}. Your last guess was {last_guess}. "
             f"Use this feedback to adjust and make your next guess (1-10)."
         )
-        user_msg = Message("user", text=feedback_text)
+        user_msg = Message("user", contents=[feedback_text])
         await ctx.send_message(AgentExecutorRequest(messages=[user_msg], should_respond=True))
 
 
diff --git a/python/samples/03-workflows/orchestrations/concurrent_custom_aggregator.py b/python/samples/03-workflows/orchestrations/concurrent_custom_aggregator.py
index 74afd5df85..8a512f890b 100644
--- a/python/samples/03-workflows/orchestrations/concurrent_custom_aggregator.py
+++ b/python/samples/03-workflows/orchestrations/concurrent_custom_aggregator.py
@@ -82,12 +82,14 @@ async def main() -> None:
         # Ask the model to synthesize a concise summary of the experts' outputs
         system_msg = Message(
             "system",
-            text=(
-                "You are a helpful assistant that consolidates multiple domain expert outputs "
-                "into one cohesive, concise summary with clear takeaways. Keep it under 200 words."
-            ),
+            contents=[
+                (
+                    "You are a helpful assistant that consolidates multiple domain expert outputs "
+                    "into one cohesive, concise summary with clear takeaways. Keep it under 200 words."
+                )
+            ],
         )
-        user_msg = Message("user", text="\n\n".join(expert_sections))
+        user_msg = Message("user", contents=["\n\n".join(expert_sections)])
 
         response = await client.get_response([system_msg, user_msg])
         # Return the model's final assistant text as the completion result
diff --git a/python/samples/03-workflows/parallelism/fan_out_fan_in_edges.py b/python/samples/03-workflows/parallelism/fan_out_fan_in_edges.py
index 456ff7e212..4378dd0916 100644
--- a/python/samples/03-workflows/parallelism/fan_out_fan_in_edges.py
+++ b/python/samples/03-workflows/parallelism/fan_out_fan_in_edges.py
@@ -49,7 +49,7 @@ class DispatchToExperts(Executor):
     @handler
     async def dispatch(self, prompt: str, ctx: WorkflowContext[AgentExecutorRequest]) -> None:
         # Wrap the incoming prompt as a user message for each expert and request a response.
-        initial_message = Message("user", text=prompt)
+        initial_message = Message("user", contents=[prompt])
         await ctx.send_message(AgentExecutorRequest(messages=[initial_message], should_respond=True))
 
 
diff --git a/python/samples/03-workflows/state-management/state_with_agents.py b/python/samples/03-workflows/state-management/state_with_agents.py
index 3c51b6fb9e..5a0d96aabb 100644
--- a/python/samples/03-workflows/state-management/state_with_agents.py
+++ b/python/samples/03-workflows/state-management/state_with_agents.py
@@ -109,7 +109,7 @@ async def store_email(email_text: str, ctx: WorkflowContext[AgentExecutorRequest
     ctx.set_state(CURRENT_EMAIL_ID_KEY, new_email.email_id)
 
     await ctx.send_message(
-        AgentExecutorRequest(messages=[Message("user", text=new_email.email_content)], should_respond=True)
+        AgentExecutorRequest(messages=[Message("user", contents=[new_email.email_content])], should_respond=True)
     )
 
 
@@ -140,7 +140,7 @@ async def submit_to_email_assistant(detection: DetectionResult, ctx: WorkflowCon
     # Load the original content by id from workflow state and forward it to the assistant.
     email: Email = ctx.get_state(f"{EMAIL_STATE_PREFIX}{detection.email_id}")
     await ctx.send_message(
-        AgentExecutorRequest(messages=[Message("user", text=email.email_content)], should_respond=True)
+        AgentExecutorRequest(messages=[Message("user", contents=[email.email_content])], should_respond=True)
     )
 
 
diff --git a/python/samples/03-workflows/visualization/concurrent_with_visualization.py b/python/samples/03-workflows/visualization/concurrent_with_visualization.py
index d59268540e..2af15a16d0 100644
--- a/python/samples/03-workflows/visualization/concurrent_with_visualization.py
+++ b/python/samples/03-workflows/visualization/concurrent_with_visualization.py
@@ -46,7 +46,7 @@ class DispatchToExperts(Executor):
     @handler
     async def dispatch(self, prompt: str, ctx: WorkflowContext[AgentExecutorRequest]) -> None:
         # Wrap the incoming prompt as a user message for each expert and request a response.
-        initial_message = Message("user", text=prompt)
+        initial_message = Message("user", contents=[prompt])
         await ctx.send_message(AgentExecutorRequest(messages=[initial_message], should_respond=True))
 
 
diff --git a/python/samples/04-hosting/azure_functions/09_workflow_shared_state/function_app.py b/python/samples/04-hosting/azure_functions/09_workflow_shared_state/function_app.py
index 16f535af0c..e4c5110ac1 100644
--- a/python/samples/04-hosting/azure_functions/09_workflow_shared_state/function_app.py
+++ b/python/samples/04-hosting/azure_functions/09_workflow_shared_state/function_app.py
@@ -110,7 +110,7 @@ async def store_email(email_text: str, ctx: WorkflowContext[AgentExecutorRequest
     ctx.set_state(CURRENT_EMAIL_ID_KEY, new_email.email_id)
 
     await ctx.send_message(
-        AgentExecutorRequest(messages=[Message(role="user", text=new_email.email_content)], should_respond=True)
+        AgentExecutorRequest(messages=[Message(role="user", contents=[new_email.email_content])], should_respond=True)
     )
 
 
@@ -146,7 +146,7 @@ async def submit_to_email_assistant(detection: DetectionResult, ctx: WorkflowCon
     # Load the original content by id from shared state and forward it to the assistant.
     email: Email = ctx.get_state(f"{EMAIL_STATE_PREFIX}{detection.email_id}")
     await ctx.send_message(
-        AgentExecutorRequest(messages=[Message(role="user", text=email.email_content)], should_respond=True)
+        AgentExecutorRequest(messages=[Message(role="user", contents=[email.email_content])], should_respond=True)
     )
 
 
diff --git a/python/samples/04-hosting/azure_functions/12_workflow_hitl/function_app.py b/python/samples/04-hosting/azure_functions/12_workflow_hitl/function_app.py
index 3680df202f..e1f9389a6d 100644
--- a/python/samples/04-hosting/azure_functions/12_workflow_hitl/function_app.py
+++ b/python/samples/04-hosting/azure_functions/12_workflow_hitl/function_app.py
@@ -358,7 +358,7 @@ class InputRouterExecutor(Executor):
 
         await ctx.send_message(
             AgentExecutorRequest(
-                messages=[Message(role="user", text=message)],
+                messages=[Message(role="user", contents=[message])],
                 should_respond=True,
             )
         )
diff --git a/python/samples/05-end-to-end/chatkit-integration/app.py b/python/samples/05-end-to-end/chatkit-integration/app.py
index b0084931c6..e509fe1896 100644
--- a/python/samples/05-end-to-end/chatkit-integration/app.py
+++ b/python/samples/05-end-to-end/chatkit-integration/app.py
@@ -296,11 +296,13 @@ class WeatherChatKitServer(ChatKitServer[dict[str, Any]]):
             title_prompt = [
                 Message(
                     role=Role.USER,
-                    text=(
-                        f"Generate a very short, concise title (max 40 characters) for a conversation "
-                        f"that starts with:\n\n{conversation_context}\n\n"
-                        "Respond with ONLY the title, nothing else."
-                    ),
+                    contents=[
+                        (
+                            f"Generate a very short, concise title (max 40 characters) for a conversation "
+                            f"that starts with:\n\n{conversation_context}\n\n"
+                            "Respond with ONLY the title, nothing else."
+                        )
+                    ],
                 )
             ]
 
@@ -472,7 +474,7 @@ class WeatherChatKitServer(ChatKitServer[dict[str, Any]]):
             weather_data: WeatherData | None = None
 
             # Create an agent message asking about the weather
-            agent_messages = [Message(role=Role.USER, text=f"What's the weather in {city_label}?")]
+            agent_messages = [Message(role=Role.USER, contents=[f"What's the weather in {city_label}?"])]
 
             logger.debug(f"Processing weather query: {agent_messages[0].text}")
 
diff --git a/python/samples/05-end-to-end/evaluation/red_teaming/red_team_agent_sample.py b/python/samples/05-end-to-end/evaluation/red_teaming/red_team_agent_sample.py
index 758a462dcb..03f22dc79a 100644
--- a/python/samples/05-end-to-end/evaluation/red_teaming/red_team_agent_sample.py
+++ b/python/samples/05-end-to-end/evaluation/red_teaming/red_team_agent_sample.py
@@ -83,7 +83,7 @@ Your boundaries:
         Args:
             messages: The adversarial prompts from RedTeam
         """
-        messages_list = [Message(role=message.role, text=message.content) for message in messages]
+        messages_list = [Message(role=message.role, contents=[message.content]) for message in messages]
         try:
             response = agent.run(messages=messages_list, stream=stream)
             result = await response.get_final_response() if stream else await response
diff --git a/python/samples/05-end-to-end/hosted_agents/agent_with_text_search_rag/main.py b/python/samples/05-end-to-end/hosted_agents/agent_with_text_search_rag/main.py
index d7a8bfbf73..d72d041f0b 100644
--- a/python/samples/05-end-to-end/hosted_agents/agent_with_text_search_rag/main.py
+++ b/python/samples/05-end-to-end/hosted_agents/agent_with_text_search_rag/main.py
@@ -99,7 +99,7 @@ class TextSearchContextProvider(ContextProvider):
 
         context.extend_messages(
             self.source_id,
-            [Message(role="user", text="\n\n".join(json.dumps(result.__dict__, indent=2) for result in results))],
+            [Message(role="user", contents=["\n\n".join(json.dumps(result.__dict__, indent=2) for result in results)])],
         )
 
 
diff --git a/python/samples/05-end-to-end/purview_agent/sample_purview_agent.py b/python/samples/05-end-to-end/purview_agent/sample_purview_agent.py
index 689d4e6e46..5eb2845886 100644
--- a/python/samples/05-end-to-end/purview_agent/sample_purview_agent.py
+++ b/python/samples/05-end-to-end/purview_agent/sample_purview_agent.py
@@ -168,7 +168,9 @@ async def run_with_agent_middleware() -> None:
     print("First response (agent middleware):\n", first)
 
     second: AgentResponse = await agent.run(
-        Message(role="user", text="That was funny. Tell me another one.", additional_properties={"user_id": user_id})
+        Message(
+            role="user", contents=["That was funny. Tell me another one."], additional_properties={"user_id": user_id}
+        )
     )
     print("Second response (agent middleware):\n", second)
 
@@ -206,7 +208,7 @@ async def run_with_chat_middleware() -> None:
     first: AgentResponse = await agent.run(
         Message(
             role="user",
-            text="Give me a short clean joke.",
+            contents=["Give me a short clean joke."],
             additional_properties={"user_id": user_id},
         )
     )
@@ -215,7 +217,7 @@ async def run_with_chat_middleware() -> None:
     second: AgentResponse = await agent.run(
         Message(
             role="user",
-            text="One more please.",
+            contents=["One more please."],
             additional_properties={"user_id": user_id},
         )
     )
@@ -254,7 +256,9 @@ async def run_with_custom_cache_provider() -> None:
     print("Using SimpleDictCacheProvider")
 
     first: AgentResponse = await agent.run(
-        Message(role="user", text="Tell me a joke about a programmer.", additional_properties={"user_id": user_id})
+        Message(
+            role="user", contents=["Tell me a joke about a programmer."], additional_properties={"user_id": user_id}
+        )
     )
     print("First response (custom provider):\n", first)
 
diff --git a/python/samples/05-end-to-end/workflow_evaluation/create_workflow.py b/python/samples/05-end-to-end/workflow_evaluation/create_workflow.py
index 053011f8ea..0be2478b3e 100644
--- a/python/samples/05-end-to-end/workflow_evaluation/create_workflow.py
+++ b/python/samples/05-end-to-end/workflow_evaluation/create_workflow.py
@@ -106,11 +106,15 @@ class ResearchLead(Executor):
         messages = [
             Message(
                 role="system",
-                text="You are a travel planning coordinator. Summarize findings from multiple specialized travel agents and provide a clear, comprehensive travel plan based on the user's query.",
+                contents=[
+                    "You are a travel planning coordinator. Summarize findings from multiple specialized travel agents and provide a clear, comprehensive travel plan based on the user's query."
+                ],
             ),
             Message(
                 role="user",
-                text=f"Original query: {user_query}\n\nFindings from specialized travel agents:\n{summary_text}\n\nPlease provide a comprehensive travel plan based on these findings.",
+                contents=[
+                    f"Original query: {user_query}\n\nFindings from specialized travel agents:\n{summary_text}\n\nPlease provide a comprehensive travel plan based on these findings."
+                ],
             ),
         ]
 
diff --git a/python/samples/AGENTS.md b/python/samples/AGENTS.md
index 2a893accf6..cf162f3e7d 100644
--- a/python/samples/AGENTS.md
+++ b/python/samples/AGENTS.md
@@ -102,10 +102,10 @@ code here
 ## Package install
 
 ```bash
-pip install agent-framework --pre
+pip install agent-framework
 ```
 
-The `--pre` flag is needed during preview. `openai` is a core dependency.
+`agent-framework` is released, so `--pre` is not required here. `openai` is a core dependency.
 
 ## Current API notes
 
diff --git a/python/samples/README.md b/python/samples/README.md
index fb9cec8992..953d9ff9bb 100644
--- a/python/samples/README.md
+++ b/python/samples/README.md
@@ -26,7 +26,7 @@ Start with `01-get-started/` and work through the numbered files:
 ## Prerequisites
 
 ```bash
-pip install agent-framework --pre
+pip install agent-framework
 ```
 
 ### Environment Variables
diff --git a/python/samples/semantic-kernel-migration/orchestrations/handoff.py b/python/samples/semantic-kernel-migration/orchestrations/handoff.py
index f506664c60..bdc2ed49e6 100644
--- a/python/samples/semantic-kernel-migration/orchestrations/handoff.py
+++ b/python/samples/semantic-kernel-migration/orchestrations/handoff.py
@@ -266,7 +266,7 @@ async def run_agent_framework_example(initial_task: str, scripted_responses: Seq
             user_reply = next(scripted_iter)
         except StopIteration:
             user_reply = "Thanks, that's all."
-        responses = {request.request_id: [Message(role="user", text=user_reply)] for request in pending}
+        responses = {request.request_id: [Message(role="user", contents=[user_reply])] for request in pending}
         final_events = await _drain_events(workflow.run(stream=True, responses=responses))
         pending = _collect_handoff_requests(final_events)
 
diff --git a/python/scripts/dependencies/_dependency_bounds_upper_impl.py b/python/scripts/dependencies/_dependency_bounds_upper_impl.py
index 239e7dd04a..352a251c36 100644
--- a/python/scripts/dependencies/_dependency_bounds_upper_impl.py
+++ b/python/scripts/dependencies/_dependency_bounds_upper_impl.py
@@ -8,6 +8,7 @@ from __future__ import annotations
 import argparse
 import concurrent.futures
 import json
+import logging
 import os
 import re
 import shutil
@@ -33,6 +34,8 @@ from scripts.dependencies._dependency_bounds_runtime import (
 )
 from scripts.task_runner import discover_projects, extract_poe_tasks, project_filter_matches
 
+logger = logging.getLogger(__name__)
+
 CHECK_TASK_PRIORITY = ("check", "typing", "pyright", "mypy", "lint")
 REQ_PATTERN = r"^\s*([A-Za-z0-9_.-]+(?:\[[^\]]+\])?)\s*(.*?)\s*$"
 SECTION_HEADER_PATTERN = re.compile(r"^\s*\[([^\]]+)\]\s*$")
@@ -264,6 +267,12 @@ def _collect_dev_pin_replacements(
     project = data.get("project", {}) or {}
     optional_dependencies = project.get("optional-dependencies", {}) or {}
     dependency_groups = data.get("dependency-groups", {}) or {}
+    logger.debug(
+        "Collecting dev dependency replacements from %s with optional_dependencies=%s and dependency_groups=%s",
+        pyproject_file,
+        optional_dependencies.keys(),
+        dependency_groups.keys(),
+    )
     workspace_versions = _load_workspace_package_versions(str(pyproject_file.parent.parent.parent.resolve()))
 
     dev_requirements: list[str] = []
@@ -273,6 +282,7 @@ def _collect_dev_pin_replacements(
     dev_requirements.extend(
         requirement for requirement in (dependency_groups.get("dev", []) or []) if isinstance(requirement, str)
     )
+    logger.debug(f"Found {len(dev_requirements)} dev requirements in {pyproject_file}")
 
     seen_requirements: set[str] = set()
     replacements: dict[str, str] = {}
@@ -293,9 +303,10 @@ def _collect_dev_pin_replacements(
         if dependency_name.startswith("agent-framework"):
             latest_version = workspace_versions.get(dependency_name)
         else:
-            latest_version = _select_latest_dev_version(catalog.get_lock(dependency_name))
-            if latest_version is None:
-                latest_version = _select_latest_dev_version(catalog.get(dependency_name))
+            # Dev-tool refreshes should follow the selected version source (PyPI by default)
+            # instead of being pinned by the current lockfile. VersionCatalog already falls
+            # back to lock data when PyPI cannot be reached or --version-source=lock is used.
+            latest_version = _select_latest_dev_version(catalog.get(dependency_name))
         if latest_version is None:
             continue
 
diff --git a/python/scripts/dependencies/upgrade_dev_dependencies.py b/python/scripts/dependencies/upgrade_dev_dependencies.py
index 7ea2067af5..0dbb53d6b7 100644
--- a/python/scripts/dependencies/upgrade_dev_dependencies.py
+++ b/python/scripts/dependencies/upgrade_dev_dependencies.py
@@ -5,6 +5,7 @@
 
 from __future__ import annotations
 
+import logging
 import argparse
 from dataclasses import dataclass
 from pathlib import Path
@@ -20,6 +21,7 @@ from scripts.dependencies._dependency_bounds_upper_impl import (
 )
 from scripts.task_runner import discover_projects
 
+logger = logging.getLogger(__name__)
 
 @dataclass(frozen=True)
 class WorkspaceProject:
@@ -125,7 +127,13 @@ def main() -> None:
         action="store_true",
         help="Print planned replacements without updating files.",
     )
+    parser.add_argument(
+        "--verbose",
+        action="store_true",
+        help="Show debug logging.",
+    )
     args = parser.parse_args()
+    logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO, format="%(message)s")
 
     workspace_root = Path(__file__).resolve().parents[2]
     lock_versions = _load_lock_versions(workspace_root)
@@ -137,6 +145,7 @@ def main() -> None:
         _discover_workspace_projects(workspace_root),
         package_filters=args.packages,
     )
+    logger.debug(f"Selected projects for dev dependency refresh: {[project.pyproject_path for project in selected_projects]}")
     if not selected_projects:
         filters = ", ".join(args.packages or [])
         raise SystemExit(f"No matching workspace projects found for: {filters}")
diff --git a/python/scripts/sample_validation/create_dynamic_workflow_executor.py b/python/scripts/sample_validation/create_dynamic_workflow_executor.py
index 44a7e5a0c5..66ba578228 100644
--- a/python/scripts/sample_validation/create_dynamic_workflow_executor.py
+++ b/python/scripts/sample_validation/create_dynamic_workflow_executor.py
@@ -134,7 +134,7 @@ class CustomAgentExecutor(Executor):
                     [
                         Message(
                             role="user",
-                            text=f"Validate the following sample:\n\n{sample.relative_path}",
+                            contents=[f"Validate the following sample:\n\n{sample.relative_path}"],
                         )
                     ],
                     session=self._session,
diff --git a/python/uv.lock b/python/uv.lock
index 944792ff24..fef2474e59 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -93,7 +93,7 @@ wheels = [
 
 [[package]]
 name = "agent-framework"
-version = "1.0.0rc6"
+version = "1.0.0"
 source = { virtual = "." }
 dependencies = [
     { name = "agent-framework-core", extra = ["all"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -126,27 +126,27 @@ requires-dist = [{ name = "agent-framework-core", extras = ["all"], editable = "
 [package.metadata.requires-dev]
 dev = [
     { name = "flit", specifier = "==3.12.0" },
-    { name = "mcp", extras = ["ws"], specifier = ">=1.24.0,<2" },
-    { name = "mypy", specifier = "==1.19.1" },
-    { name = "opentelemetry-sdk", specifier = ">=1.39.0,<2" },
+    { name = "mcp", extras = ["ws"], specifier = "==1.26.0" },
+    { name = "mypy", specifier = "==1.20.0" },
+    { name = "opentelemetry-sdk", specifier = "==1.40.0" },
     { name = "poethepoet", specifier = "==0.42.1" },
-    { name = "prek", specifier = "==0.3.4" },
+    { name = "prek", specifier = "==0.3.8" },
     { name = "pyright", specifier = "==1.1.408" },
     { name = "pytest", specifier = "==9.0.2" },
     { name = "pytest-asyncio", specifier = "==1.3.0" },
-    { name = "pytest-cov", specifier = "==7.0.0" },
+    { name = "pytest-cov", specifier = "==7.1.0" },
     { name = "pytest-retry", specifier = "==1.7.0" },
     { name = "pytest-timeout", specifier = "==2.4.0" },
     { name = "pytest-xdist", extras = ["psutil"], specifier = "==3.8.0" },
-    { name = "rich", specifier = "==13.7.1" },
-    { name = "ruff", specifier = "==0.15.5" },
-    { name = "tomli", specifier = "==2.4.0" },
-    { name = "uv", specifier = "==0.10.9" },
+    { name = "rich", specifier = ">=13.7.1,<15.0.0" },
+    { name = "ruff", specifier = "==0.15.8" },
+    { name = "tomli", specifier = "==2.4.1" },
+    { name = "uv", specifier = "==0.11.3" },
 ]
 
 [[package]]
 name = "agent-framework-a2a"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/a2a" }
 dependencies = [
     { name = "a2a-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -161,7 +161,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-ag-ui"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/ag-ui" }
 dependencies = [
     { name = "ag-ui-protocol", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -189,7 +189,7 @@ provides-extras = ["dev"]
 
 [[package]]
 name = "agent-framework-anthropic"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/anthropic" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -204,7 +204,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-azure-ai-search"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/azure-ai-search" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -219,7 +219,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-azure-cosmos"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/azure-cosmos" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -234,7 +234,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-azurefunctions"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/azurefunctions" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -256,7 +256,7 @@ dev = []
 
 [[package]]
 name = "agent-framework-bedrock"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/bedrock" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -273,7 +273,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-chatkit"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/chatkit" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -288,7 +288,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-claude"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/claude" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -303,7 +303,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-copilotstudio"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/copilotstudio" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -318,7 +318,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-core"
-version = "1.0.0rc6"
+version = "1.0.0"
 source = { editable = "packages/core" }
 dependencies = [
     { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -390,7 +390,7 @@ provides-extras = ["all"]
 
 [[package]]
 name = "agent-framework-declarative"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/declarative" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -415,7 +415,7 @@ dev = [{ name = "types-pyyaml", specifier = "==6.0.12.20250915" }]
 
 [[package]]
 name = "agent-framework-devui"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/devui" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -453,7 +453,7 @@ provides-extras = ["dev", "all"]
 
 [[package]]
 name = "agent-framework-durabletask"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/durabletask" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -476,11 +476,11 @@ requires-dist = [
 ]
 
 [package.metadata.requires-dev]
-dev = [{ name = "types-python-dateutil", specifier = "==2.9.0.20260305" }]
+dev = [{ name = "types-python-dateutil", specifier = "==2.9.0.20260402" }]
 
 [[package]]
 name = "agent-framework-foundry"
-version = "1.0.0rc6"
+version = "1.0.0"
 source = { editable = "packages/foundry" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -499,7 +499,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-foundry-local"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/foundry_local" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -516,7 +516,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-github-copilot"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/github_copilot" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -531,7 +531,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-lab"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/lab" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -556,7 +556,7 @@ math = [
 tau2 = [
     { name = "loguru", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" },
-    { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" },
+    { name = "numpy", version = "2.4.4", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" },
     { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "tiktoken", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
@@ -597,22 +597,22 @@ provides-extras = ["gaia", "lightning", "tau2", "math"]
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "mypy", specifier = "==1.19.1" },
+    { name = "mypy", specifier = "==1.20.0" },
     { name = "poethepoet", specifier = "==0.42.1" },
-    { name = "prek", specifier = "==0.3.4" },
+    { name = "prek", specifier = "==0.3.8" },
     { name = "pyright", specifier = "==1.1.408" },
     { name = "pytest", specifier = "==9.0.2" },
-    { name = "rich", specifier = "==13.7.1" },
-    { name = "ruff", specifier = "==0.15.5" },
+    { name = "rich", specifier = ">=13.7.1,<15.0.0" },
+    { name = "ruff", specifier = "==0.15.8" },
     { name = "tau2", git = "https://github.com/sierra-research/tau2-bench?rev=5ba9e3e56db57c5e4114bf7f901291f09b2c5619" },
-    { name = "tomli", specifier = "==2.4.0" },
+    { name = "tomli", specifier = "==2.4.1" },
     { name = "tomli-w", specifier = "==1.2.0" },
-    { name = "uv", specifier = "==0.10.9" },
+    { name = "uv", specifier = "==0.11.3" },
 ]
 
 [[package]]
 name = "agent-framework-mem0"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/mem0" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -627,7 +627,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-ollama"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
 source = { editable = "packages/ollama" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -642,7 +642,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-openai"
-version = "1.0.0rc6"
+version = "1.0.0"
 source = { editable = "packages/openai" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -657,7 +657,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-orchestrations"
-version = "1.0.0b260330"
+version = "1.0.0b260402"
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 dependencies = [
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@@ -668,7 +668,7 @@ requires-dist = [{ name = "agent-framework-core", editable = "packages/core" }]
 
 [[package]]
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-version = "1.0.0b260330"
+version = "1.0.0b260402"
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 dependencies = [
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@@ -685,12 +685,12 @@ requires-dist = [
 
 [[package]]
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-version = "1.0.0b260330"
+version = "1.0.0b260402"
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+    { name = "numpy", version = "2.4.4", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" },
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@@ -766,7 +766,7 @@ wheels = [
 
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