Python: bump package versions for 1.2.2 release (#5561)

* Python: bump package versions for 1.2.2 release

PATCH bump (1.2.1 -> 1.2.2) for the released cohort. Five PRs land in this
window:

- agent-framework-openai: fix file_search citations breaking the assistant-
  message history roundtrip (#5557) — drives the released-tier PATCH
- agent-framework-orchestrations: [BREAKING] standardize orchestration
  terminal outputs as AgentResponse (#5301)
- agent-framework-core, agent-framework-declarative: preserve Workflow.run()
  shared state across calls, accept list[Message] in declarative start
  executor, and coerce Enum values when serializing PowerFx symbols (#5531)
- agent-framework-foundry-hosting: add hosted Durable Workflow support
  (#5531)
- agent-framework-azure-contentunderstanding: new alpha package — Azure AI
  Content Understanding context provider (#4829)
- dependencies: workspace package dependency refresh (#5555)

Per lockstep convention, all 21 beta packages stamp 1.0.0b260429 and all 4
alpha packages (now including the new contentunderstanding) stamp
1.0.0a260429. Date stamp reflects 2026-04-29 Pacific. Every non-core package
floor on agent-framework-core is raised to >=1.2.2; the new
contentunderstanding package's stale >=1.0.0 floor is brought into line.

Two follow-on fixes bundled to keep validate-dependency-bounds-test green
at lowest-direct resolution:
- Bump agent-framework-azure-contentunderstanding's azure-ai-content
  understanding lower bound from >=1.0.0 to >=1.0.1 (1.0.0 ships without
  proper typing — pyright reports 65 unknown-type errors)
- Add pyright ignore comments to core/foundry/__init__.pyi for the new
  alpha package's type-stub imports, since alpha packages are not in
  core's [all] extra and therefore aren't installed at lowest-direct

* Python: add #5552 to 1.2.2 CHANGELOG

Add the streaming-span observability fix to the Fixed section. PR is on
upstream/main but not yet pulled into origin/main; the code itself will
land via the PR merge.

* Python: address PR #5561 review feedback on dependency bounds

Two packaging fixes flagged in review:

1. agent-framework-azure-contentunderstanding: add agent-framework-foundry
   as a runtime dependency. The package's README directs users to
   `pip install agent-framework-azure-contentunderstanding --pre` and the
   basic example imports `FoundryChatClient` from `agent_framework.foundry`,
   so the documented install path was failing with ImportError. Pulling
   agent-framework-foundry into deps makes the advertised entry path
   self-contained.

2. agent-framework-foundry: bump agent-framework-openai lower bound from
   >=1.1.0 to >=1.2.2,<2. Foundry imports private modules from
   agent_framework_openai (`_chat_client.py:22`, `_agent.py:34`), so
   resolvers were free to pair foundry==1.2.2 with older OpenAI versions
   that lack this release's coordinated Responses/history fix. Lockstep the
   floor with the released cohort to prevent mismatched installs.

Both changes pass `validate-dependency-bounds-test` lower + upper at
their respective packages.

python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py

@@ -959,16 +959,12 @@ class DeclarativeActionExecutor(Executor):
                 last_user_msg = messages_list[last_user_index]
                 last_user_text = last_user_msg.text or ""
                 last_user_id = getattr(last_user_msg, "message_id", "") or ""
-                history_messages = (
-                    messages_list[:last_user_index] + messages_list[last_user_index + 1:]
-                )
+                history_messages = messages_list[:last_user_index] + messages_list[last_user_index + 1 :]
             else:
                 history_messages = list(messages_list)
                 tail = messages_list[-1] if messages_list else None
                 last_user_text = (tail.text or "") if tail is not None else ""
-                last_user_id = (
-                    getattr(tail, "message_id", "") or "" if tail is not None else ""
-                )
+                last_user_id = getattr(tail, "message_id", "") or "" if tail is not None else ""
 
             if is_continuation:
                 # Continuation turn: keep prior Conversation.messages intact.

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 = "1.0.0b260428"
+version = "1.0.0b260429"
 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>=1.2.1,<2",
+    "agent-framework-core>=1.2.2,<2",
     "powerfx>=0.0.32,<0.0.35; python_version < '3.14'",
     "pyyaml>=6.0,<7.0",
 ]

python/packages/declarative/tests/test_workflow_factory.py

@@ -284,17 +284,13 @@ actions:
         agent = workflow.as_agent(name="continuation-agent")
 
         first = await agent.run("turn-1-msg")
-        assert first.text == "turn-1-msg", (
-            f"Expected turn-1 echo 'turn-1-msg', got: {first.text!r}"
-        )
+        assert first.text == "turn-1-msg", f"Expected turn-1 echo 'turn-1-msg', got: {first.text!r}"
 
         # Stamp a marker into the declarative state between turns. The
         # continuation branch must preserve it; a state-clearing run would
         # wipe ``DECLARATIVE_STATE_KEY`` and force re-initialization.
         state_data = workflow._state.get(DECLARATIVE_STATE_KEY)
-        assert isinstance(state_data, dict), (
-            "Expected declarative state to be initialized after turn 1"
-        )
+        assert isinstance(state_data, dict), "Expected declarative state to be initialized after turn 1"
         state_data["Local"] = {"persisted_marker": "kept-from-turn-1"}
         workflow._state.set(DECLARATIVE_STATE_KEY, state_data)
         workflow._state.commit()