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Author SHA1 Message Date
e26c3580fb Fix docstring/load_dotenv ordering in foundry samples and add try/finally cleanup
Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/382df85c-cf3c-4802-97e0-a6df35fc9876

Co-authored-by: chetantoshniwal <255221507+chetantoshniwal@users.noreply.github.com>
2026-04-02 13:52:37 +02:00
Chetan ToshniwalandEduard van Valkenburg bbae6401b1 making version optional 2026-04-02 13:52:37 +02:00
a58f55876c Fix foundry samples: add model/env vars to code interpreter sample, fix optional agent version
Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/a758471e-f73b-4c1c-b5cb-1f1ae0b2971f

Co-authored-by: chetantoshniwal <255221507+chetantoshniwal@users.noreply.github.com>
2026-04-02 13:52:37 +02:00
Chetan ToshniwalandEduard van Valkenburg 922b85485d dynamic options dict to avoid imports 2026-04-02 13:52:37 +02:00
Chetan ToshniwalandEduard van Valkenburg 30920e1f9d Fixing samples with minor changes. 1. Adding model details for Anthropic, 2. Moving to environment variables for endpoint and deployment details 2026-04-02 13:52:37 +02:00
Eduard van ValkenburgandGitHub 95fd5ec658 Python: [BREAKING] Python: move Azure AI embeddings to Foundry (#5056)
* renamed AzureAIINferenceEmbeddings and lazy load azure-cosmos and env var rename

* updated coverage

* fix readme
2026-04-02 11:26:35 +00:00
chetantoshniwalGitHubchetantoshniwalcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
47d82911c0 Python: Fix server_tool_use input_json_delta handling and improve Anthropic samples (#5050)
* Fix server_tool_use input_json_delta handling and improve Anthropic samples

- Fix: Skip input_json_delta for server_tool_use content blocks in AnthropicClient streaming. Server-managed tools (e.g., skills with code interpreter) were producing Content.from_function_call(name='') entries that caused Anthropic API 400 errors on subsequent turns.

- Samples: Add dotenv loading and environment variable documentation to Anthropic Claude samples (MCP, permissions, session, shell, tools, URL, skills).

* Add regression test for server_tool_use + input_json_delta skip behavior

Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/7c68dcb2-b577-4e36-b423-664b8fe3ac1d

Co-authored-by: chetantoshniwal <255221507+chetantoshniwal@users.noreply.github.com>

---------

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Co-authored-by: chetantoshniwal <255221507+chetantoshniwal@users.noreply.github.com>
2026-04-02 09:43:59 +00:00
339e76d51f Python: Fix GitHubCopilotAgent to invoke context provider before_run/after_run hooks (#5013)
* Fix GitHubCopilotAgent not calling context provider hooks (#3984)

GitHubCopilotAgent accepted context_providers in its constructor but
never called before_run()/after_run() on them in _run_impl() or
_stream_updates(), silently ignoring all context providers.

Add _run_before_providers() helper to create SessionContext and invoke
before_run on each provider. Both _run_impl() and _stream_updates() now
run the full provider lifecycle: before_run before sending the prompt
(with provider instructions prepended) and after_run after receiving the
response. This follows the same pattern used by A2AAgent.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix GitHubCopilotAgent to invoke context provider before_run/after_run hooks

Fixes #3984

* fix(#3984): address review feedback for context provider integration

- Build prompt from session_context.get_messages(include_input=True) so
  provider-injected context_messages are included in both non-streaming
  and streaming paths (review comments #1, #2)
- Preserve timeout in opts (use get instead of pop) so providers can
  observe it via context.options (review comment #3)
- Eliminate streaming double-buffer: move after_run invocation to a
  ResponseStream result_hook (matching Agent class pattern) instead of
  maintaining a separate updates list in the generator (review comment #4)
- Improve _run_before_providers docstring

Add tests for:
- Context messages included in prompt (non-streaming + streaming)
- Error path: after_run NOT called when send_and_wait/streaming raises
- Multiple providers: forward before_run, reverse after_run ordering
- BaseHistoryProvider with load_messages=False is skipped
- Streaming after_run response contains aggregated updates
- Streaming with no updates still sets empty response
- Timeout preserved in session context options for providers

Note: _run_before_providers remains on GitHubCopilotAgent for now. A
follow-up PR should extract it to BaseAgent so subclasses can reuse it
without duplicating the provider iteration logic.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback for #3984: Python: [Bug]: GitHubCopilotAgent Memory Example

* refactor(#3984): promote _run_before_providers to BaseAgent

Move _run_before_providers from GitHubCopilotAgent into BaseAgent,
mirroring the existing _run_after_providers helper. Agent's
_prepare_session_and_messages now delegates to the shared base method,
eliminating the near-duplicate provider iteration logic that could
drift as the provider contract evolves.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback for #3984: Python: [Bug]: GitHubCopilotAgent Memory Example

* revert: keep _run_before_providers in GitHubCopilotAgent only

Undo the promotion of _run_before_providers to BaseAgent. The method
stays in GitHubCopilotAgent where it is needed, and _agents.py
retains its original inline provider iteration in RawAgent.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: replace deprecated BaseContextProvider/BaseHistoryProvider with ContextProvider/HistoryProvider

Update imports and usages in GitHubCopilotAgent and its tests to use
the new non-deprecated class names from the core package.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: address review feedback - reorder providers before session, wrap streaming after_run in try/except, assert after_run on skipped HistoryProvider

- Move _run_before_providers before _get_or_create_session so provider
  contributions can affect session configuration
- Wrap _run_after_providers in try/except in streaming _after_run_hook
  to prevent provider errors from replacing successful responses
- Add after_run assertion to test_history_provider_skip_when_load_messages_false

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-02 09:43:02 +00:00
Tao ChenandGitHub 62595b233f [BREAKING] Python: Refactor workflows kwargs (#5010)
* Refactor workflows kwargs usage

* Update sample

* Add tests

* Update samples

* Fix formatting

* Comments

* Comments 2

* Comments 3

* Fix test and typing
2026-04-02 09:40:39 +00:00
CopilotGitHubsphenrycopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>Shawn Henry
fd253c0b0e Python: Move workflow-samples and agent-samples under declarative-agents directory (#5011)
* Move workflow-samples and agent-samples under declarative-agents and update all references

Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/f70f7d19-9256-4eec-b7db-28007d74440c

Co-authored-by: sphenry <6749825+sphenry@users.noreply.github.com>

* Fix relative paths in README files inside moved directories

Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/f70f7d19-9256-4eec-b7db-28007d74440c

Co-authored-by: sphenry <6749825+sphenry@users.noreply.github.com>

---------

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Co-authored-by: sphenry <6749825+sphenry@users.noreply.github.com>
Co-authored-by: Shawn Henry <shahen@microsoft.com>
2026-04-02 09:34:33 +00:00
hashwnathandGitHub 7e8e9e3074 Python: Fix duplicate system message from instructions (#5049) (#5051)
Add deduplication to `prepend_instructions_to_messages()` to skip
instructions that are already present as leading messages with the
same role and text. This prevents duplicate system messages when
instructions are injected by multiple layers (e.g. Agent + chat client).

Fixes #5049
2026-04-02 09:20:50 +00:00
CopilotGitHubTaoChenOSUcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
7607acd009 Python: Add experimental decorator to all Evals pieces (#5040)
* Initial plan

* feat(python): add experimental decorator to all Evals pieces

Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/99d71249-a5d6-4977-a5b5-6ffe0a3be2bc

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>
2026-04-02 09:18:35 +00:00
Tao ChenandGitHub 3d87cec304 Python: Fix SK migration samples (#5047)
* Fix SK migration samples

* Fix env vars for SK

* Hard code model for sheel tool samples
2026-04-02 08:40:34 +00:00
Roger BarretoandGitHub 628bb1af48 .NET: Rename Microsoft.Agents.AI.AzureAI to Microsoft.Agents.AI.Foundry and consolidate FoundryMemory (#5042)
* Update Foundry Responses as ChatClientAgent

* Migrate obsolete AzureAI integration tests to versioned agent pattern

Replace obsolete CreateAIAgentAsync/GetAIAgentAsync calls with
Agents.CreateAgentVersionAsync() + AsAIAgent(AgentVersion) in all
AzureAI integration tests.

- Rename AIProjectClient* test files to FoundryVersionedAgent*
- Register AIFunction tools in PromptAgentDefinition.Tools for
  server-side visibility via AsOpenAIResponseTool()
- Skip structured output tests (AzureAIProjectChatClient clears
  ResponseFormat for versioned agents)
- Remove all [Obsolete] attributes and #pragma warning disable CS0618

* Merge FoundryMemory package into AzureAI under Memory/ folder

Move all FoundryMemory source, unit tests, and integration tests into
the Microsoft.Agents.AI.AzureAI package. Change namespace from
Microsoft.Agents.AI.FoundryMemory to Microsoft.Agents.AI.AzureAI.

- Add [Experimental] to FoundryMemoryProviderOptions and Scope
- Rename internal AIProjectClientExtensions to MemoryStoreExtensions
- Update AzureAI .csproj with Compliance.Abstractions, Redaction
- Remove FoundryMemory from solution and release filter
- Update sample to reference AzureAI instead of FoundryMemory
- Delete old Microsoft.Agents.AI.FoundryMemory project and tests

* Add EnsureMemoryStoreCreatedAsync and memory existence checks to integration tests

- Ensure memory store is created before testing memory operations
- Add AZURE_AI_EMBEDDING_DEPLOYMENT_NAME config setting
- Assert memories exist in store via SearchMemoriesAsync before cleanup
- Verify scope isolation with direct memory store queries

* Fix and rename AzureAI unit tests for RAPI vs Versioned clarity

- Rename AsAIAgentAsync_* to AsAIAgent_* (drop Async from method group)
- Add _Rapi_ prefix to non-versioned (Responses API) tests
- Add _Versioned_ prefix to versioned agent tests where needed
- Fix RAPI tests: assert GetService<AIProjectClient>() is null
- Fix Versioned tests: assert IsType<FoundryAgent> and
  GetService<AIProjectClient>() returns the client instance
- Fix UserAgent header tests: proper HTTP handler routing
- Fix ChatClient_UsesDefaultConversationIdAsync test setup
- All 153 unit tests pass with 0 failures

* Rename Microsoft.Agents.AI.AzureAI to Microsoft.Agents.AI.Foundry

Rename the project, namespace, folder, and all references from
Microsoft.Agents.AI.AzureAI to Microsoft.Agents.AI.Foundry.
Also rename Workflows.Declarative.AzureAI to .Foundry.

- Rename src, unit test, integration test, and workflow folders
- Update namespaces in all source and test .cs files
- Update ProjectReferences in ~47 sample and test .csproj files
- Update solution files (.slnx, .slnf)
- Update sample using statements
- Update READMEs, SKILL.md, ADRs in docs/
- Disable package validation baseline for renamed packages
- Fix UTF-8 BOM encoding on all affected .cs files
- AzureAI.Persistent left completely unchanged

* Fix format: remove ImplicitUsings, add explicit usings, fix BOM encoding

- Remove ImplicitUsings=enable from Foundry csproj to resolve IDE0005
  on shared ReplacingRedactor.cs
- Add explicit System usings to all source files that relied on them
- Sort usings alphabetically per editorconfig rules
- Fix UTF-8 BOM on 12 sample Program.cs files
- Rename Azure AI Foundry Agents to Microsoft Foundry Agents in docs
2026-04-02 01:25:24 +00:00
6f6ee61834 Python: Fix broken samples and add missing READMEs (#5038)
* Python: Fix broken samples and add missing READMEs

- simple_context_provider: move instructions kwarg into options dict
- suspend_resume_session: use OpenAIChatCompletionClient for in-memory demo
- foundry_chat_client_with_hosted_mcp: move store kwarg into options dict
- Add README.md for context_providers and conversations sample folders

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix additional sample issues in context_providers

- mem0_basic: send preferences query before sleep so Mem0 can learn them,
  print result from new session recall
- mem0_sessions: add session for multi-turn conversation in agent-scoped
  example, remove user_id from agent-scoped provider (Mem0 API stores
  memories without user_id when agent_id is provided), use single message
  for storing preferences
- redis_basics: print retrieved context messages instead of raw object
- redis_sessions: add missing load_dotenv() call
- redis_basics/redis_sessions: fix docstrings referencing wrong client type
- azure_redis_conversation: replace duplicate copyright with load_dotenv()

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix broken link in declarative README

openai_responses_agent.py was renamed to openai_agent.py

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-01 21:35:16 +00:00
westeyandGitHub 15e435b472 Fix telemetry sample bug (#5037) 2026-04-01 19:30:45 +00:00
Eduard van ValkenburgandGitHub 519bb0cb2b Python: updated declarative samples and handling of non-pydantic response formats (#5022)
* updated declarative samples and handling of non-pydantic response formats

* fixed from comments

* update docstring
2026-04-01 19:16:00 +00:00
6acab3d1d6 Python: [BREAKING] Standardize model selection on model (#4999)
* Refactor Anthropic model option and provider clients

Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix Anthropic skills sample typing

Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* undo sample mypy

* Retry CI after transient external failures

Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback on model option merging

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address Anthropic compatibility review feedback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* moved all to `model`

* fixes for azure ai search

* Python: standardize remaining sample env var names

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: fix foundry-local pyright compatibility

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated env vars in cicd

---------

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2026-04-01 19:00:18 +00:00
Tao ChenGitHubTaoChenOSUcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
95550dd0dc Python: Enforce Foundry package unit test coverage (#5036)
* Enforce Foundry package unit test coverage

* Sort ENFORCED_TARGETS alphabetically in python-check-coverage.py

Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/ed0b81ed-c267-4ee0-9655-56c4b3066fad

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

---------

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Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>
2026-04-01 17:37:27 +00:00
86f8efc8ff Python: Fix observability samples (#5016)
* Fix observability samples

* Update python/samples/02-agents/observability/configure_otel_providers_with_parameters.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/samples/02-agents/observability/agent_observability.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/samples/02-agents/observability/agent_observability.py

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---------

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2026-04-01 17:12:03 +00:00
423 changed files with 7505 additions and 7891 deletions
+1 -1
View File
@@ -47,7 +47,7 @@ body:
attributes:
label: Package Versions
description: List the agent-framework-* packages and versions you are using
placeholder: "e.g., agent-framework-core: 1.0.0, agent-framework-azure-ai: 1.0.0"
placeholder: "e.g., agent-framework-core: 1.0.0, agent-framework-foundry: 1.0.0"
validations:
required: true
+2 -2
View File
@@ -82,7 +82,7 @@ jobs:
.github
dotnet
python
workflow-samples
declarative-agents
- name: Setup dotnet
uses: actions/setup-dotnet@v5.2.0
@@ -152,7 +152,7 @@ jobs:
.github
dotnet
python
workflow-samples
declarative-agents
# Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
- name: Start Azure Cosmos DB Emulator
@@ -38,7 +38,7 @@ jobs:
.github
dotnet
python
workflow-samples
declarative-agents
- name: Start Azure Cosmos DB Emulator
if: runner.os == 'Windows'
+5 -5
View File
@@ -34,14 +34,14 @@ from dataclasses import dataclass
# (e.g., "packages/core/agent_framework/observability.py")
# =============================================================================
ENFORCED_TARGETS: set[str] = {
# Packages
"packages.azure-ai.agent_framework_azure_ai",
"packages.core.agent_framework",
"packages.core.agent_framework._workflows",
"packages.purview.agent_framework_purview",
# Packages (sorted alphabetically)
"packages.anthropic.agent_framework_anthropic",
"packages.azure-ai-search.agent_framework_azure_ai_search",
"packages.core.agent_framework",
"packages.core.agent_framework._workflows",
"packages.foundry.agent_framework_foundry",
"packages.openai.agent_framework_openai",
"packages.purview.agent_framework_purview",
# Individual files (if you want to enforce specific files instead of whole packages)
"packages/core/agent_framework/observability.py",
# Add more targets here as coverage improves
+16 -13
View File
@@ -60,8 +60,8 @@ jobs:
environment: integration
timeout-minutes: 60
env:
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
@@ -95,10 +95,10 @@ jobs:
environment: integration
timeout-minutes: 60
env:
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME }}
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_MODEL: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
defaults:
run:
@@ -139,7 +139,7 @@ jobs:
timeout-minutes: 60
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL_ID: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
ANTHROPIC_CHAT_MODEL: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
defaults:
run:
@@ -201,14 +201,15 @@ jobs:
timeout-minutes: 60
env:
UV_PYTHON: "3.11"
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
FUNCTIONS_WORKER_RUNTIME: "python"
@@ -255,12 +256,14 @@ jobs:
environment: integration
timeout-minutes: 60
env:
AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
FOUNDRY_AGENT_NAME: ${{ vars.FOUNDRY_AGENT_NAME }}
FOUNDRY_AGENT_VERSION: ${{ vars.FOUNDRY_AGENT_VERSION }}
FOUNDRY_MODELS_ENDPOINT: ${{ vars.FOUNDRY_MODELS_ENDPOINT || '' }}
FOUNDRY_MODELS_API_KEY: ${{ secrets.FOUNDRY_MODELS_API_KEY || '' }}
FOUNDRY_EMBEDDING_MODEL: ${{ vars.FOUNDRY_EMBEDDING_MODEL || '' }}
FOUNDRY_IMAGE_EMBEDDING_MODEL: ${{ vars.FOUNDRY_IMAGE_EMBEDDING_MODEL || '' }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
defaults:
run:
+16 -22
View File
@@ -37,7 +37,7 @@ jobs:
azureChanged: ${{ steps.filter.outputs.azure }}
miscChanged: ${{ steps.filter.outputs.misc }}
functionsChanged: ${{ steps.filter.outputs.functions }}
azureAiChanged: ${{ steps.filter.outputs.azure-ai }}
foundryChanged: ${{ steps.filter.outputs.foundry }}
cosmosChanged: ${{ steps.filter.outputs.cosmos }}
steps:
- uses: actions/checkout@v6
@@ -75,10 +75,10 @@ jobs:
functions:
- 'python/packages/azurefunctions/**'
- 'python/packages/durabletask/**'
azure-ai:
- 'python/packages/azure-ai/**'
foundry:
- 'python/packages/foundry/**'
- 'python/samples/**/providers/foundry/**'
- 'python/samples/02-agents/embeddings/foundry_embeddings.py'
cosmos:
- 'python/packages/azure-cosmos/**'
# run only if 'python' files were changed
@@ -139,8 +139,8 @@ jobs:
runs-on: ubuntu-latest
environment: integration
env:
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
@@ -192,10 +192,10 @@ jobs:
runs-on: ubuntu-latest
environment: integration
env:
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME }}
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_MODEL: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
defaults:
run:
@@ -255,7 +255,7 @@ jobs:
environment: integration
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL_ID: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
ANTHROPIC_CHAT_MODEL: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
defaults:
run:
@@ -330,14 +330,15 @@ jobs:
environment: integration
env:
UV_PYTHON: "3.11"
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
FUNCTIONS_WORKER_RUNTIME: "python"
@@ -392,13 +393,11 @@ jobs:
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.azureAiChanged == 'true' ||
needs.paths-filter.outputs.foundryChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
FOUNDRY_AGENT_NAME: ${{ vars.FOUNDRY_AGENT_NAME }}
@@ -432,11 +431,6 @@ jobs:
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
working-directory: ./python
- name: Test Azure AI samples
timeout-minutes: 10
if: env.RUN_SAMPLES_TESTS == 'true'
run: uv run pytest tests/samples/ -m "azure-ai"
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@v0.7.2
+40 -32
View File
@@ -65,12 +65,14 @@ jobs:
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME || vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_MODEL: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME || vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
# GitHub MCP
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
@@ -95,11 +97,13 @@ jobs:
echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
echo "AZURE_OPENAI_DEPLOYMENT_NAME=$AZURE_OPENAI_DEPLOYMENT_NAME" >> .env
echo "AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME=$AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME" >> .env
echo "AZURE_OPENAI_MODEL=$AZURE_OPENAI_MODEL" >> .env
echo "AZURE_OPENAI_CHAT_COMPLETION_MODEL=$AZURE_OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "AZURE_OPENAI_CHAT_MODEL=$AZURE_OPENAI_CHAT_MODEL" >> .env
echo "AZURE_OPENAI_EMBEDDING_MODEL=$AZURE_OPENAI_EMBEDDING_MODEL" >> .env
echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
echo "OPENAI_CHAT_MODEL_ID=$OPENAI_CHAT_MODEL_ID" >> .env
echo "OPENAI_RESPONSES_MODEL_ID=$OPENAI_RESPONSES_MODEL_ID" >> .env
echo "OPENAI_CHAT_COMPLETION_MODEL=$OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "OPENAI_CHAT_MODEL=$OPENAI_CHAT_MODEL" >> .env
echo "GITHUB_PAT=$GITHUB_PAT" >> .env
- name: Run sample validation
@@ -120,8 +124,8 @@ jobs:
env:
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
defaults:
run:
working-directory: python
@@ -140,8 +144,8 @@ jobs:
run: |
echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
echo "OPENAI_MODEL=$OPENAI_MODEL" >> .env
echo "OPENAI_CHAT_MODEL_ID=$OPENAI_CHAT_MODEL_ID" >> .env
echo "OPENAI_RESPONSES_MODEL_ID=$OPENAI_RESPONSES_MODEL_ID" >> .env
echo "OPENAI_CHAT_COMPLETION_MODEL=$OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "OPENAI_CHAT_MODEL=$OPENAI_CHAT_MODEL" >> .env
- name: Run sample validation
run: |
@@ -160,7 +164,7 @@ jobs:
environment: integration
env:
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_API_VERSION: ${{ vars.AZURE_OPENAI_API_VERSION || '' }}
defaults:
run:
@@ -179,7 +183,7 @@ jobs:
- name: Create .env for samples
run: |
echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
echo "AZURE_OPENAI_DEPLOYMENT_NAME=$AZURE_OPENAI_DEPLOYMENT_NAME" >> .env
echo "AZURE_OPENAI_MODEL=$AZURE_OPENAI_MODEL" >> .env
echo "AZURE_OPENAI_API_VERSION=$AZURE_OPENAI_API_VERSION" >> .env
- name: Run sample validation
@@ -199,7 +203,7 @@ jobs:
environment: integration
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL_ID: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
ANTHROPIC_CHAT_MODEL: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
defaults:
run:
working-directory: python
@@ -217,7 +221,7 @@ jobs:
- name: Create .env for samples
run: |
echo "ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY" >> .env
echo "ANTHROPIC_CHAT_MODEL_ID=$ANTHROPIC_CHAT_MODEL_ID" >> .env
echo "ANTHROPIC_CHAT_MODEL=$ANTHROPIC_CHAT_MODEL" >> .env
- name: Run sample validation
run: |
@@ -265,7 +269,7 @@ jobs:
runs-on: ubuntu-latest
environment: integration
env:
BEDROCK_CHAT_MODEL_ID: ${{ vars.BEDROCK__CHATMODELID }}
BEDROCK_CHAT_MODEL: ${{ vars.BEDROCK__CHATMODELID }}
defaults:
run:
working-directory: python
@@ -518,7 +522,7 @@ jobs:
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure AI Search (for evaluation samples)
AZURE_SEARCH_ENDPOINT: ${{ secrets.AZURE_SEARCH_ENDPOINT }}
AZURE_SEARCH_API_KEY: ${{ secrets.AZURE_SEARCH_API_KEY }}
@@ -560,11 +564,11 @@ jobs:
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
defaults:
run:
@@ -585,10 +589,10 @@ jobs:
echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
echo "AZURE_OPENAI_DEPLOYMENT_NAME=$AZURE_OPENAI_DEPLOYMENT_NAME" >> .env
echo "AZURE_OPENAI_MODEL=$AZURE_OPENAI_MODEL" >> .env
echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
echo "OPENAI_CHAT_MODEL_ID=$OPENAI_CHAT_MODEL_ID" >> .env
echo "OPENAI_RESPONSES_MODEL_ID=$OPENAI_RESPONSES_MODEL_ID" >> .env
echo "OPENAI_CHAT_COMPLETION_MODEL=$OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "OPENAI_CHAT_MODEL=$OPENAI_CHAT_MODEL" >> .env
- name: Run sample validation
run: |
@@ -608,14 +612,18 @@ jobs:
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
# Azure OpenAI configuration for AF
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# OpenAI configuration
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration for SK
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
# OpenAI key
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
# OpenAI configuration for SK
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
# Copilot Studio
COPILOTSTUDIOAGENT__ENVIRONMENTID: ${{ secrets.COPILOTSTUDIOAGENT__ENVIRONMENTID }}
COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }}
@@ -640,10 +648,10 @@ jobs:
echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
echo "AZURE_OPENAI_DEPLOYMENT_NAME=$AZURE_OPENAI_DEPLOYMENT_NAME" >> .env
echo "AZURE_OPENAI_MODEL=$AZURE_OPENAI_MODEL" >> .env
echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
echo "OPENAI_CHAT_MODEL_ID=$OPENAI_CHAT_MODEL_ID" >> .env
echo "OPENAI_RESPONSES_MODEL_ID=$OPENAI_RESPONSES_MODEL_ID" >> .env
echo "OPENAI_CHAT_COMPLETION_MODEL=$OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "OPENAI_CHAT_MODEL=$OPENAI_CHAT_MODEL" >> .env
echo "COPILOTSTUDIOAGENT__ENVIRONMENTID=$COPILOTSTUDIOAGENT__ENVIRONMENTID" >> .env
echo "COPILOTSTUDIOAGENT__SCHEMANAME=$COPILOTSTUDIOAGENT__SCHEMANAME" >> .env
echo "COPILOTSTUDIOAGENT__TENANTID=$COPILOTSTUDIOAGENT__TENANTID" >> .env
@@ -1,3 +1,3 @@
# Declarative Agents
This folder contains sample agent definitions that can be run using the declarative agent support, for python see the [declarative agent python sample folder](../python/samples/02-agents/declarative/).
This folder contains sample agent definitions that can be run using the declarative agent support, for python see the [declarative agent python sample folder](../../python/samples/02-agents/declarative/).
@@ -3,13 +3,13 @@ name: MicrosoftLearnAgent
description: Microsoft Learn Agent
instructions: You answer questions by searching the Microsoft Learn content only.
model:
id: =Env.AZURE_FOUNDRY_PROJECT_MODEL_ID
id: =Env.FOUNDRY_MODEL
options:
temperature: 0.9
topP: 0.95
connection:
kind: remote
endpoint: =Env.AZURE_FOUNDRY_PROJECT_ENDPOINT
endpoint: =Env.FOUNDRY_PROJECT_ENDPOINT
tools:
- kind: mcp
name: microsoft_learn
@@ -10,8 +10,8 @@ Workflow workflow = DeclarativeWorkflowBuilder.Build("Marketing.yaml", options);
```
These example workflows may be executed by the workflow
[Samples](../dotnet/samples/03-workflows/Declarative)
[Samples](../../dotnet/samples/03-workflows/Declarative)
that are present in this repository.
> See the [README.md](../dotnet/samples/03-workflows/Declarative/README.md)
> See the [README.md](../../dotnet/samples/03-workflows/Declarative/README.md)
associated with the samples for configuration details.
@@ -37,7 +37,7 @@ Key changes:
4. **New `FoundryChatClient`** in azure-ai for Azure AI Foundry Responses API access, built on `RawFoundryChatClient(RawOpenAIChatClient)`.
5. **All deprecated `AzureOpenAI*` classes** consolidated into a single file (`_deprecated_azure_openai.py`) in the azure-ai package for clean future deletion.
6. **Core's `agent_framework.openai` and `agent_framework.azure` namespaces** become lazy-loading gateways, preserving backward-compatible import paths while removing hard dependencies.
7. **Unified `model` parameter** replaces `model_id` (OpenAI), `deployment_name` (Azure OpenAI), and `model_deployment_name` (Azure AI) across all client constructors. The term `model` is intentionally generic: it naturally maps to an OpenAI model name *and* to an Azure OpenAI deployment name, making it straightforward to use `OpenAIChatClient` with either OpenAI or Azure OpenAI backends (via `AsyncAzureOpenAI`). Environment variables are similarly unified (e.g., `OPENAI_MODEL` instead of separate `OPENAI_RESPONSES_MODEL_ID` / `OPENAI_CHAT_MODEL_ID`).
7. **Unified `model` parameter** replaces `model_id` (OpenAI), `deployment_name` (Azure OpenAI), and `model_deployment_name` (Azure AI) across all client constructors. The term `model` is intentionally generic: it naturally maps to an OpenAI model name *and* to an Azure OpenAI deployment name, making it straightforward to use `OpenAIChatClient` with either OpenAI or Azure OpenAI backends (via `AsyncAzureOpenAI`). Environment variables are similarly unified (e.g., `OPENAI_MODEL` instead of separate `OPENAI_CHAT_MODEL_ID` / `OPENAI_CHAT_COMPLETION_MODEL_ID`).
8. **`FoundryAgent`** replaces the pattern of `Agent(client=AzureAIClient(...))` for connecting to pre-configured agents in Azure AI Foundry (PromptAgents and HostedAgents). The underlying `RawFoundryAgentChatClient` is an implementation detail — most users interact only with `FoundryAgent`. `AzureAIAgentClient` is separately deprecated as it refers to the V1 Agents Service API. See below for design rationale.
### Foundry Agent Design: `FoundryAgentClient` vs `FoundryAgent`
@@ -177,7 +177,7 @@ This feature ports the vector store abstractions, embedding generator abstractio
**Goal:** Add embedding generators to all existing AF provider packages that have chat clients.
**Mergeable:** Yes — each is independent, added to existing provider packages.
#### 2.1 — Azure AI Inference embedding (in `packages/azure-ai/`)
#### 2.1 — Foundry inference embedding (in `packages/foundry/`)
#### 2.2 — Ollama embedding (in `packages/ollama/`)
#### 2.3 — Anthropic embedding (in `packages/anthropic/`)
#### 2.4 — Bedrock embedding (in `packages/bedrock/`)
+2 -2
View File
@@ -12,8 +12,8 @@ dotnet/
│ ├── Microsoft.Agents.AI.Abstractions/ # Core AI agent abstractions
│ ├── Microsoft.Agents.AI.A2A/ # Agent-to-Agent (A2A) provider
│ ├── Microsoft.Agents.AI.OpenAI/ # OpenAI provider
│ ├── Microsoft.Agents.AI.AzureAI/ # Azure AI Foundry Agents (v2) provider
│ ├── Microsoft.Agents.AI.AzureAI.Persistent/ # Legacy Azure AI Foundry Agents (v1) provider
│ ├── Microsoft.Agents.AI.Foundry/ # Microsoft Foundry Agents (v2) provider
│ ├── Microsoft.Agents.AI.AzureAI.Persistent/ # Legacy Microsoft Foundry Agents (v1) provider
│ ├── Microsoft.Agents.AI.Anthropic/ # Anthropic provider
│ ├── Microsoft.Agents.AI.Workflows/ # Workflow orchestration
│ └── ... # Other packages
+13 -13
View File
@@ -214,12 +214,12 @@
<Project Path="samples/03-workflows/Declarative/ToolApproval/ToolApproval.csproj" />
</Folder>
<Folder Name="/Samples/03-workflows/Declarative/Examples/">
<File Path="../workflow-samples/CustomerSupport.yaml" />
<File Path="../workflow-samples/DeepResearch.yaml" />
<File Path="../workflow-samples/Marketing.yaml" />
<File Path="../workflow-samples/MathChat.yaml" />
<File Path="../workflow-samples/README.md" />
<File Path="../workflow-samples/wttr.json" />
<File Path="../declarative-agents/workflow-samples/CustomerSupport.yaml" />
<File Path="../declarative-agents/workflow-samples/DeepResearch.yaml" />
<File Path="../declarative-agents/workflow-samples/Marketing.yaml" />
<File Path="../declarative-agents/workflow-samples/MathChat.yaml" />
<File Path="../declarative-agents/workflow-samples/README.md" />
<File Path="../declarative-agents/workflow-samples/wttr.json" />
</Folder>
<Folder Name="/Samples/03-workflows/SharedStates/">
<Project Path="samples/03-workflows/SharedStates/SharedStates.csproj" />
@@ -478,13 +478,13 @@
<Project Path="src/Microsoft.Agents.AI.AGUI/Microsoft.Agents.AI.AGUI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Anthropic/Microsoft.Agents.AI.Anthropic.csproj" />
<Project Path="src/Microsoft.Agents.AI.AzureAI.Persistent/Microsoft.Agents.AI.AzureAI.Persistent.csproj" />
<Project Path="src/Microsoft.Agents.AI.AzureAI/Microsoft.Agents.AI.AzureAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Foundry/Microsoft.Agents.AI.Foundry.csproj" />
<Project Path="src/Microsoft.Agents.AI.CopilotStudio/Microsoft.Agents.AI.CopilotStudio.csproj" />
<Project Path="src/Microsoft.Agents.AI.CosmosNoSql/Microsoft.Agents.AI.CosmosNoSql.csproj" />
<Project Path="src/Microsoft.Agents.AI.Declarative/Microsoft.Agents.AI.Declarative.csproj" />
<Project Path="src/Microsoft.Agents.AI.DevUI/Microsoft.Agents.AI.DevUI.csproj" />
<Project Path="src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj" />
<Project Path="src/Microsoft.Agents.AI.FoundryMemory/Microsoft.Agents.AI.FoundryMemory.csproj" />
<Project Path="src/Microsoft.Agents.AI.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.A2A.AspNetCore/Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.A2A/Microsoft.Agents.AI.Hosting.A2A.csproj" />
@@ -495,7 +495,7 @@
<Project Path="src/Microsoft.Agents.AI.Mem0/Microsoft.Agents.AI.Mem0.csproj" />
<Project Path="src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Purview/Microsoft.Agents.AI.Purview.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.AzureAI/Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.Foundry/Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.Mcp/Microsoft.Agents.AI.Workflows.Declarative.Mcp.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative/Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Generators/Microsoft.Agents.AI.Workflows.Generators.csproj" />
@@ -506,11 +506,11 @@
<Folder Name="/Tests/IntegrationTests/">
<Project Path="tests/AgentConformance.IntegrationTests/AgentConformance.IntegrationTests.csproj" />
<Project Path="tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletion.IntegrationTests.csproj" />
<Project Path="tests/AzureAI.IntegrationTests/AzureAI.IntegrationTests.csproj" />
<Project Path="tests/Foundry.IntegrationTests/Foundry.IntegrationTests.csproj" />
<Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" />
<Project Path="tests/CopilotStudio.IntegrationTests/CopilotStudio.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.FoundryMemory.IntegrationTests/Microsoft.Agents.AI.FoundryMemory.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj" />
@@ -526,12 +526,12 @@
<Project Path="tests/Microsoft.Agents.AI.AGUI.UnitTests/Microsoft.Agents.AI.AGUI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Anthropic.UnitTests/Microsoft.Agents.AI.Anthropic.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.AzureAI.UnitTests/Microsoft.Agents.AI.AzureAI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Foundry.UnitTests/Microsoft.Agents.AI.Foundry.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/Microsoft.Agents.AI.CosmosNoSql.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Declarative.UnitTests/Microsoft.Agents.AI.Declarative.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DevUI.UnitTests/Microsoft.Agents.AI.DevUI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.FoundryMemory.UnitTests/Microsoft.Agents.AI.FoundryMemory.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.A2A.UnitTests/Microsoft.Agents.AI.Hosting.A2A.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests.csproj" />
+3 -3
View File
@@ -8,13 +8,13 @@
"src\\Microsoft.Agents.AI.Anthropic\\Microsoft.Agents.AI.Anthropic.csproj",
"src\\Microsoft.Agents.AI.GitHub.Copilot\\Microsoft.Agents.AI.GitHub.Copilot.csproj",
"src\\Microsoft.Agents.AI.AzureAI.Persistent\\Microsoft.Agents.AI.AzureAI.Persistent.csproj",
"src\\Microsoft.Agents.AI.AzureAI\\Microsoft.Agents.AI.AzureAI.csproj",
"src\\Microsoft.Agents.AI.Foundry\\Microsoft.Agents.AI.Foundry.csproj",
"src\\Microsoft.Agents.AI.CopilotStudio\\Microsoft.Agents.AI.CopilotStudio.csproj",
"src\\Microsoft.Agents.AI.CosmosNoSql\\Microsoft.Agents.AI.CosmosNoSql.csproj",
"src\\Microsoft.Agents.AI.Declarative\\Microsoft.Agents.AI.Declarative.csproj",
"src\\Microsoft.Agents.AI.DevUI\\Microsoft.Agents.AI.DevUI.csproj",
"src\\Microsoft.Agents.AI.DurableTask\\Microsoft.Agents.AI.DurableTask.csproj",
"src\\Microsoft.Agents.AI.FoundryMemory\\Microsoft.Agents.AI.FoundryMemory.csproj",
"src\\Microsoft.Agents.AI.Hosting.A2A.AspNetCore\\Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj",
"src\\Microsoft.Agents.AI.Hosting.A2A\\Microsoft.Agents.AI.Hosting.A2A.csproj",
"src\\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj",
@@ -24,7 +24,7 @@
"src\\Microsoft.Agents.AI.Mem0\\Microsoft.Agents.AI.Mem0.csproj",
"src\\Microsoft.Agents.AI.OpenAI\\Microsoft.Agents.AI.OpenAI.csproj",
"src\\Microsoft.Agents.AI.Purview\\Microsoft.Agents.AI.Purview.csproj",
"src\\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj",
"src\\Microsoft.Agents.AI.Workflows.Declarative.Foundry\\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj",
"src\\Microsoft.Agents.AI.Workflows.Declarative\\Microsoft.Agents.AI.Workflows.Declarative.csproj",
"src\\Microsoft.Agents.AI.Workflows.Generators\\Microsoft.Agents.AI.Workflows.Generators.csproj",
"src\\Microsoft.Agents.AI.Workflows\\Microsoft.Agents.AI.Workflows.csproj",
@@ -23,7 +23,7 @@ const string SourceName = "OpenTelemetryAspire.ConsoleApp";
const string ServiceName = "AgentOpenTelemetry";
// Configure OpenTelemetry for Aspire dashboard
var otlpEndpoint = Environment.GetEnvironmentVariable("OTEL_EXPORTER_OTLP_ENDPOINT") ?? "http://localhost:4318";
var otlpEndpoint = Environment.GetEnvironmentVariable("OTEL_EXPORTER_OTLP_ENDPOINT") ?? "http://localhost:4317";
var applicationInsightsConnectionString = Environment.GetEnvironmentVariable("APPLICATIONINSIGHTS_CONNECTION_STRING");
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -6,7 +6,7 @@ using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -14,8 +14,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.FoundryMemory\Microsoft.Agents.AI.FoundryMemory.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -11,8 +11,7 @@ using System.Text.Json;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.FoundryMemory;
using Microsoft.Agents.AI.Foundry;
string foundryEndpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
string memoryStoreName = Environment.GetEnvironmentVariable("AZURE_AI_MEMORY_STORE_ID") ?? "memory-store-sample";
@@ -37,7 +36,7 @@ FoundryMemoryProvider memoryProvider = new(
memoryStoreName,
stateInitializer: _ => new(new FoundryMemoryProviderScope("sample-user-123")));
FoundryAgent agent = projectClient.AsAIAgent(
ChatClientAgent agent = projectClient.AsAIAgent(
new ChatClientAgentOptions()
{
Name = "TravelAssistantWithFoundryMemory",
@@ -14,7 +14,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
@@ -7,7 +7,7 @@ using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
using OpenAI;
using OpenAI.Files;
using OpenAI.Responses;
@@ -17,7 +17,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -14,7 +14,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -7,7 +7,7 @@
using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -4,10 +4,10 @@
// Server-side conversations persist on the Foundry service and are visible in the Foundry Project UI.
// Use this when you need conversation history to be stored and accessible server-side.
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
@@ -15,12 +15,20 @@ string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLO
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
FoundryAgent agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
ChatClientAgent agent = aiProjectClient
.AsAIAgent(deploymentName, instructions: "You are good at telling jokes.", name: "JokerAgent");
ProjectConversationsClient conversationsClient = aiProjectClient
.GetProjectOpenAIClient()
.GetProjectConversationsClient();
ProjectConversation conversation = (await conversationsClient.CreateProjectConversationAsync().ConfigureAwait(false)).Value;
// CreateConversationSessionAsync creates a server-side ProjectConversation
// that persists on the Foundry service and is visible in the Foundry Project UI.
AgentSession session = await agent.CreateConversationSessionAsync();
AgentSession session = await agent.CreateSessionAsync(conversation.Id);
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));
Console.WriteLine(await agent.RunAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", session));
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -15,7 +15,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
@@ -5,7 +5,7 @@
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
using Microsoft.Extensions.AI;
using OpenAI.Responses;
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -14,7 +14,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -6,7 +6,7 @@ using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
using Microsoft.Extensions.AI;
string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -6,7 +6,7 @@ using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
string connectionId = Environment.GetEnvironmentVariable("AZURE_AI_CUSTOM_SEARCH_CONNECTION_ID") ?? throw new InvalidOperationException("AZURE_AI_CUSTOM_SEARCH_CONNECTION_ID is not set.");
string instanceName = Environment.GetEnvironmentVariable("AZURE_AI_CUSTOM_SEARCH_INSTANCE_NAME") ?? throw new InvalidOperationException("AZURE_AI_CUSTOM_SEARCH_INSTANCE_NAME is not set.");
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -6,7 +6,7 @@ using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
string sharepointConnectionId = Environment.GetEnvironmentVariable("SHAREPOINT_PROJECT_CONNECTION_ID") ?? throw new InvalidOperationException("SHAREPOINT_PROJECT_CONNECTION_ID is not set.");
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -6,7 +6,7 @@ using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
string fabricConnectionId = Environment.GetEnvironmentVariable("FABRIC_PROJECT_CONNECTION_ID") ?? throw new InvalidOperationException("FABRIC_PROJECT_CONNECTION_ID is not set.");
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -14,7 +14,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -9,7 +9,7 @@ using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
using Microsoft.Extensions.AI;
using OpenAI.Responses;
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -14,7 +14,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -2,11 +2,11 @@
"profiles": {
"GetWeather": {
"commandName": "Project",
"commandLineArgs": "..\\..\\..\\..\\..\\..\\..\\..\\agent-samples\\chatclient\\GetWeather.yaml \"What is the weather in Cambridge, MA in °C?\""
"commandLineArgs": "..\\..\\..\\..\\..\\..\\..\\..\\declarative-agents\\agent-samples\\chatclient\\GetWeather.yaml \"What is the weather in Cambridge, MA in °C?\""
},
"Assistant": {
"commandName": "Project",
"commandLineArgs": "..\\..\\..\\..\\..\\..\\..\\..\\agent-samples\\chatclient\\Assistant.yaml \"Tell me a joke about a pirate in Italian.\""
"commandLineArgs": "..\\..\\..\\..\\..\\..\\..\\..\\declarative-agents\\agent-samples\\chatclient\\Assistant.yaml \"Tell me a joke about a pirate in Italian.\""
}
}
}
@@ -14,7 +14,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -15,7 +15,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
</ItemGroup>
@@ -4,7 +4,7 @@ using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;
@@ -26,7 +26,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
@@ -26,11 +26,11 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\workflow-samples\CustomerSupport.yaml">
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\declarative-agents\workflow-samples\CustomerSupport.yaml">
<CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None>
</ItemGroup>
@@ -26,11 +26,11 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\workflow-samples\DeepResearch.yaml">
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\declarative-agents\workflow-samples\DeepResearch.yaml">
<CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None>
<None Include="wttr.json">
@@ -27,7 +27,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -26,7 +26,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -143,7 +143,7 @@ internal sealed class Program
string? repoFolder = GetRepoFolder();
if (repoFolder is not null)
{
workflowFile = Path.Combine(repoFolder, "workflow-samples", workflowFile);
workflowFile = Path.Combine(repoFolder, "declarative-agents", "workflow-samples", workflowFile);
workflowFile = Path.ChangeExtension(workflowFile, ".yaml");
}
}
@@ -26,7 +26,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
@@ -60,7 +60,7 @@ internal sealed class Program
string? repoFolder = GetRepoFolder();
if (repoFolder is not null)
{
workflowFile = Path.Combine(repoFolder, "workflow-samples", workflowFile);
workflowFile = Path.Combine(repoFolder, "declarative-agents", "workflow-samples", workflowFile);
workflowFile = Path.ChangeExtension(workflowFile, ".yaml");
}
}
@@ -27,11 +27,11 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\workflow-samples\MathChat.yaml">
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\declarative-agents\workflow-samples\MathChat.yaml">
<CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None>
</ItemGroup>
@@ -8,7 +8,7 @@ using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Agents.AI.Foundry;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Configuration;
using Shared.Foundry;
@@ -26,7 +26,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
@@ -26,7 +26,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
@@ -26,7 +26,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Mcp\Microsoft.Agents.AI.Workflows.Declarative.Mcp.csproj" />
</ItemGroup>
@@ -26,11 +26,11 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\workflow-samples\Marketing.yaml">
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\declarative-agents\workflow-samples\Marketing.yaml">
<CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None>
</ItemGroup>
@@ -26,11 +26,11 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\workflow-samples\MathChat.yaml">
<None Include="$(MSBuildThisFileDirectory)..\..\..\..\..\declarative-agents\workflow-samples\MathChat.yaml">
<CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None>
</ItemGroup>
@@ -26,7 +26,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -23,7 +23,7 @@
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hosting.A2A\Microsoft.Agents.AI.Hosting.A2A.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
@@ -70,17 +70,19 @@ string GetAvailableHotels(
// Build response
var result = new StringBuilder();
result.AppendLine($"Available hotels in Seattle from {checkInDate} to {checkOutDate} ({nights} nights):");
result.AppendLine();
result
.AppendLine($"Available hotels in Seattle from {checkInDate} to {checkOutDate} ({nights} nights):")
.AppendLine();
foreach (var hotel in availableHotels)
{
var totalCost = hotel.PricePerNight * nights;
result.AppendLine($"**{hotel.Name}**");
result.AppendLine($" Location: {hotel.Location}");
result.AppendLine($" Rating: {hotel.Rating}/5");
result.AppendLine($" ${hotel.PricePerNight}/night (Total: ${totalCost})");
result.AppendLine();
result
.AppendLine($"**{hotel.Name}**")
.AppendLine($" Location: {hotel.Location}")
.AppendLine($" Rating: {hotel.Rating}/5")
.AppendLine($" ${hotel.PricePerNight}/night (Total: ${totalCost})")
.AppendLine();
}
return result.ToString();
@@ -1,935 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.ClientModel;
using System.ClientModel.Primitives;
using System.Diagnostics.CodeAnalysis;
using System.Runtime.CompilerServices;
using System.Text;
using System.Text.Json;
using System.Text.Json.Nodes;
using System.Text.Json.Serialization;
using System.Text.RegularExpressions;
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects.Agents;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AzureAI;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Logging;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
using OpenAI;
using OpenAI.Responses;
namespace Azure.AI.Projects;
/// <summary>
/// Provides extension methods for <see cref="AIProjectClient"/>.
/// </summary>
[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
public static partial class AzureAIProjectChatClientExtensions
{
/// <summary>
/// Uses an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AIProjectClient"/> and <see cref="AgentReference"/>.
/// </summary>
/// <param name="aiProjectClient">The <see cref="AIProjectClient"/> to create the <see cref="ChatClientAgent"/> with. Cannot be <see langword="null"/>.</param>
/// <param name="agentReference">The <see cref="AgentReference"/> representing the name and version of the server side agent to create a <see cref="ChatClientAgent"/> for. Cannot be <see langword="null"/>.</param>
/// <param name="tools">The tools to use when interacting with the agent. This is required when using prompt agent definitions with tools.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations based on the latest version of the named Azure AI Agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="agentReference"/> is <see langword="null"/>.</exception>
/// <exception cref="InvalidOperationException">The agent with the specified name was not found.</exception>
/// <remarks>
/// When instantiating a <see cref="ChatClientAgent"/> by using an <see cref="AgentReference"/>, minimal information will be available about the agent in the instance level, and any logic that relies
/// on <see cref="AIAgent.GetService{TService}(object?)"/> to retrieve information about the agent like <see cref="AgentVersion" /> will receive <see langword="null"/> as the result.
/// </remarks>
public static FoundryAgent AsAIAgent(
this AIProjectClient aiProjectClient,
AgentReference agentReference,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentReference);
ThrowIfInvalidAgentName(agentReference.Name);
var innerAgent = AsChatClientAgent(
aiProjectClient,
agentReference,
new ChatClientAgentOptions()
{
Id = $"{agentReference.Name}:{agentReference.Version}",
Name = agentReference.Name,
ChatOptions = new() { Tools = tools },
},
clientFactory,
services);
return new FoundryAgent(aiProjectClient, innerAgent);
}
/// <summary>
/// Asynchronously retrieves an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AIProjectClient"/>.
/// </summary>
/// <param name="aiProjectClient">The <see cref="AIProjectClient"/> to create the <see cref="ChatClientAgent"/> with. Cannot be <see langword="null"/>.</param>
/// <param name="name">The name of the server side agent to create a <see cref="ChatClientAgent"/> for. Cannot be <see langword="null"/> or whitespace.</param>
/// <param name="tools">The tools to use when interacting with the agent. This is required when using prompt agent definitions with tools.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations based on the latest version of the named Azure AI Agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="name"/> is <see langword="null"/>.</exception>
/// <exception cref="ArgumentException">Thrown when <paramref name="name"/> is empty or whitespace, or when the agent with the specified name was not found.</exception>
/// <exception cref="InvalidOperationException">The agent with the specified name was not found.</exception>
[Obsolete("Use native AIProjectClient agent APIs and AsAIAgent(AgentRecord/AgentVersion) instead.")]
public static async Task<FoundryAgent> GetAIAgentAsync(
this AIProjectClient aiProjectClient,
string name,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null,
CancellationToken cancellationToken = default)
{
Throw.IfNull(aiProjectClient);
ThrowIfInvalidAgentName(name);
AgentRecord agentRecord = await GetAgentRecordByNameAsync(aiProjectClient, name, cancellationToken).ConfigureAwait(false);
return AsAIAgent(
aiProjectClient,
agentRecord,
tools,
clientFactory,
services);
}
/// <summary>
/// Uses an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AIProjectClient"/> and <see cref="AgentRecord"/>.
/// </summary>
/// <param name="aiProjectClient">The client used to interact with Azure AI Agents. Cannot be <see langword="null"/>.</param>
/// <param name="agentRecord">The agent record to be converted. The latest version will be used. Cannot be <see langword="null"/>.</param>
/// <param name="tools">The tools to use when interacting with the agent. This is required when using prompt agent definitions with tools.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations based on the latest version of the Azure AI Agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="agentRecord"/> is <see langword="null"/>.</exception>
public static FoundryAgent AsAIAgent(
this AIProjectClient aiProjectClient,
AgentRecord agentRecord,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentRecord);
var allowDeclarativeMode = tools is not { Count: > 0 };
var innerAgent = AsChatClientAgent(
aiProjectClient,
agentRecord,
tools,
clientFactory,
!allowDeclarativeMode,
services);
return new FoundryAgent(aiProjectClient, innerAgent);
}
/// <summary>
/// Uses an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AIProjectClient"/> and <see cref="AgentVersion"/>.
/// </summary>
/// <param name="aiProjectClient">The client used to interact with Azure AI Agents. Cannot be <see langword="null"/>.</param>
/// <param name="agentVersion">The agent version to be converted. Cannot be <see langword="null"/>.</param>
/// <param name="tools">In-process invocable tools to be provided. If no tools are provided manual handling will be necessary to invoke in-process tools.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations based on the provided version of the Azure AI Agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="agentVersion"/> is <see langword="null"/>.</exception>
public static FoundryAgent AsAIAgent(
this AIProjectClient aiProjectClient,
AgentVersion agentVersion,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentVersion);
var allowDeclarativeMode = tools is not { Count: > 0 };
var innerAgent = AsChatClientAgent(
aiProjectClient,
agentVersion,
tools,
clientFactory,
!allowDeclarativeMode,
services);
return new FoundryAgent(aiProjectClient, innerAgent);
}
/// <summary>
/// Asynchronously retrieves an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AIProjectClient"/>.
/// </summary>
/// <param name="aiProjectClient">The client used to manage and interact with AI agents. Cannot be <see langword="null"/>.</param>
/// <param name="options">The options for creating the agent. Cannot be <see langword="null"/>.</param>
/// <param name="clientFactory">A factory function to customize the creation of the chat client used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> to cancel the operation if needed.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the newly created agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="options"/> is <see langword="null"/>.</exception>
[Obsolete("Use native AIProjectClient agent APIs and AsAIAgent(AgentRecord/AgentVersion) instead.")]
public static async Task<FoundryAgent> GetAIAgentAsync(
this AIProjectClient aiProjectClient,
ChatClientAgentOptions options,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null,
CancellationToken cancellationToken = default)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(options);
if (string.IsNullOrWhiteSpace(options.Name))
{
throw new ArgumentException("Agent name must be provided in the options.Name property", nameof(options));
}
ThrowIfInvalidAgentName(options.Name);
AgentRecord agentRecord = await GetAgentRecordByNameAsync(aiProjectClient, options.Name, cancellationToken).ConfigureAwait(false);
var agentVersion = agentRecord.GetLatestVersion();
var agentOptions = CreateChatClientAgentOptions(agentVersion, options, requireInvocableTools: !options.UseProvidedChatClientAsIs);
return new FoundryAgent(
aiProjectClient,
AsChatClientAgent(aiProjectClient, agentVersion, agentOptions, clientFactory, services));
}
/// <summary>
/// Creates a new Prompt AI agent in the Foundry service using the specified configuration parameters, and exposes it as a <see cref="ChatClientAgent"/>.
/// </summary>
/// <param name="aiProjectClient">The client used to manage and interact with AI agents. Cannot be <see langword="null"/>.</param>
/// <param name="name">The name for the agent.</param>
/// <param name="model">The name of the model to use for the agent. Cannot be <see langword="null"/> or whitespace.</param>
/// <param name="instructions">The instructions that guide the agent's behavior. Cannot be <see langword="null"/> or whitespace.</param>
/// <param name="description">The description for the agent.</param>
/// <param name="tools">The tools to use when interacting with the agent, this is required when using prompt agent definitions with tools.</param>
/// <param name="clientFactory">A factory function to customize the creation of the chat client used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <param name="cancellationToken">A token to monitor for cancellation requests.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the newly created agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/>, <paramref name="model"/>, or <paramref name="instructions"/> is <see langword="null"/>.</exception>
/// <exception cref="ArgumentException">Thrown when <paramref name="model"/> or <paramref name="instructions"/> is empty or whitespace.</exception>
/// <remarks>When using prompt agent definitions with tools the parameter <paramref name="tools"/> needs to be provided.</remarks>
[Obsolete("Use native AIProjectClient.Agents APIs instead.")]
public static Task<FoundryAgent> CreateAIAgentAsync(
this AIProjectClient aiProjectClient,
string name,
string model,
string instructions,
string? description = null,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null,
CancellationToken cancellationToken = default)
{
Throw.IfNull(aiProjectClient);
ThrowIfInvalidAgentName(name);
Throw.IfNullOrWhitespace(model);
Throw.IfNullOrWhitespace(instructions);
return CreateAIAgentAsync(
aiProjectClient,
name,
tools,
new AgentVersionCreationOptions(new PromptAgentDefinition(model) { Instructions = instructions }) { Description = description },
clientFactory,
services,
cancellationToken);
}
/// <summary>
/// Creates a new Prompt AI agent in the Foundry service using the specified configuration parameters, and exposes it as a <see cref="ChatClientAgent"/>.
/// </summary>
/// <param name="aiProjectClient">The client used to manage and interact with AI agents. Cannot be <see langword="null"/>.</param>
/// <param name="model">The name of the model to use for the agent. Cannot be <see langword="null"/> or whitespace.</param>
/// <param name="options">The options for creating the agent. Cannot be <see langword="null"/>.</param>
/// <param name="clientFactory">A factory function to customize the creation of the chat client used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> to cancel the operation if needed.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the newly created agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="options"/> is <see langword="null"/>.</exception>
/// <exception cref="ArgumentException">Thrown when <paramref name="model"/> is empty or whitespace, or when the agent name is not provided in the options.</exception>
[Obsolete("Use native AIProjectClient.Agents APIs instead.")]
public static async Task<FoundryAgent> CreateAIAgentAsync(
this AIProjectClient aiProjectClient,
string model,
ChatClientAgentOptions options,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null,
CancellationToken cancellationToken = default)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(options);
Throw.IfNullOrWhitespace(model);
if (string.IsNullOrWhiteSpace(options.Name))
{
throw new ArgumentException("Agent name must be provided in the options.Name property", nameof(options));
}
ThrowIfInvalidAgentName(options.Name);
AgentVersion agentVersion = await CreateAgentVersionFromOptionsAsync(aiProjectClient, model, options, cancellationToken).ConfigureAwait(false);
var agentOptions = CreateChatClientAgentOptions(agentVersion, options, requireInvocableTools: true);
return new FoundryAgent(
aiProjectClient,
AsChatClientAgent(aiProjectClient, agentVersion, agentOptions, clientFactory, services));
}
/// <summary>
/// Creates a new Prompt AI agent in the Foundry service using the specified configuration parameters, and exposes it as a <see cref="ChatClientAgent"/>.
/// parameters.
/// </summary>
/// <param name="aiProjectClient">The client used to manage and interact with AI agents. Cannot be <see langword="null"/>.</param>
/// <param name="name">The name for the agent.</param>
/// <param name="creationOptions">Settings that control the creation of the agent.</param>
/// <param name="clientFactory">A factory function to customize the creation of the chat client used by the agent.</param>
/// <param name="cancellationToken">A token to monitor for cancellation requests.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the newly created agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="creationOptions"/> is <see langword="null"/>.</exception>
/// <remarks>
/// When using this extension method with a <see cref="PromptAgentDefinition"/> the tools are only declarative and not invocable.
/// Invocation of any in-process tools will need to be handled manually.
/// </remarks>
[Obsolete("Use native AIProjectClient.Agents APIs instead.")]
public static Task<FoundryAgent> CreateAIAgentAsync(
this AIProjectClient aiProjectClient,
string name,
AgentVersionCreationOptions creationOptions,
Func<IChatClient, IChatClient>? clientFactory = null,
CancellationToken cancellationToken = default)
{
Throw.IfNull(aiProjectClient);
ThrowIfInvalidAgentName(name);
Throw.IfNull(creationOptions);
return CreateAIAgentAsync(
aiProjectClient,
name,
tools: null,
creationOptions,
clientFactory,
services: null,
cancellationToken);
}
/// <summary>
/// Creates a non-versioned <see cref="ChatClientAgent"/> backed by the project's Responses API using the specified model and instructions.
/// </summary>
/// <param name="aiProjectClient">The <see cref="AIProjectClient"/> to use for Responses API calls. Cannot be <see langword="null"/>.</param>
/// <param name="model">The model deployment name to use for the agent. Cannot be <see langword="null"/> or whitespace.</param>
/// <param name="instructions">The instructions that guide the agent's behavior. Cannot be <see langword="null"/> or whitespace.</param>
/// <param name="name">Optional name for the agent.</param>
/// <param name="description">Optional human-readable description for the agent.</param>
/// <param name="tools">Optional collection of tools that the agent can invoke during conversations.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="loggerFactory">Optional logger factory for creating loggers used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> backed by the project's Responses API.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> is <see langword="null"/>.</exception>
/// <exception cref="ArgumentException">Thrown when <paramref name="model"/> or <paramref name="instructions"/> is empty or whitespace.</exception>
public static FoundryAgent AsAIAgent(
this AIProjectClient aiProjectClient,
string model,
string instructions,
string? name = null,
string? description = null,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
ILoggerFactory? loggerFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNullOrWhitespace(model);
Throw.IfNullOrWhitespace(instructions);
ChatClientAgentOptions options = new()
{
Name = name,
Description = description,
ChatOptions = new ChatOptions
{
ModelId = model,
Instructions = instructions,
Tools = tools,
},
};
return new FoundryAgent(aiProjectClient, CreateResponsesChatClientAgent(aiProjectClient, options, clientFactory, loggerFactory, services));
}
/// <summary>
/// Creates a non-versioned <see cref="ChatClientAgent"/> backed by the project's Responses API using the specified options.
/// </summary>
/// <param name="aiProjectClient">The <see cref="AIProjectClient"/> to use for Responses API calls. Cannot be <see langword="null"/>.</param>
/// <param name="options">Configuration options that control the agent's behavior. <see cref="ChatOptions.ModelId"/> is required.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="loggerFactory">Optional logger factory for creating loggers used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> backed by the project's Responses API.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="options"/> is <see langword="null"/>.</exception>
/// <exception cref="ArgumentException">Thrown when <paramref name="options"/> does not specify <see cref="ChatOptions.ModelId"/>.</exception>
public static FoundryAgent AsAIAgent(
this AIProjectClient aiProjectClient,
ChatClientAgentOptions options,
Func<IChatClient, IChatClient>? clientFactory = null,
ILoggerFactory? loggerFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(options);
return new FoundryAgent(aiProjectClient, CreateResponsesChatClientAgent(aiProjectClient, options, clientFactory, loggerFactory, services));
}
#region Private
private static readonly ModelReaderWriterOptions s_modelWriterOptionsWire = new("W");
/// <summary>
/// Asynchronously retrieves an agent record by name using the protocol method to inject user-agent headers.
/// </summary>
internal static async Task<AgentRecord> GetAgentRecordByNameAsync(AIProjectClient aiProjectClient, string agentName, CancellationToken cancellationToken)
{
ClientResult protocolResponse = await aiProjectClient.Agents.GetAgentAsync(agentName, cancellationToken.ToRequestOptions(false)).ConfigureAwait(false);
var rawResponse = protocolResponse.GetRawResponse();
AgentRecord? result = ModelReaderWriter.Read<AgentRecord>(rawResponse.Content, s_modelWriterOptionsWire, AzureAIProjectsAgentsContext.Default);
return result ?? throw new InvalidOperationException($"Agent with name '{agentName}' not found.");
}
/// <summary>
/// Asynchronously creates an agent version using the protocol method to inject user-agent headers.
/// </summary>
internal static async Task<AgentVersion> CreateAgentVersionWithProtocolAsync(AIProjectClient aiProjectClient, string agentName, AgentVersionCreationOptions creationOptions, CancellationToken cancellationToken)
{
BinaryData serializedOptions = ModelReaderWriter.Write(creationOptions, s_modelWriterOptionsWire, AzureAIProjectsAgentsContext.Default);
BinaryContent content = BinaryContent.Create(serializedOptions);
ClientResult protocolResponse = await aiProjectClient.Agents.CreateAgentVersionAsync(agentName, content, foundryFeatures: null, cancellationToken.ToRequestOptions(false)).ConfigureAwait(false);
var rawResponse = protocolResponse.GetRawResponse();
AgentVersion? result = ModelReaderWriter.Read<AgentVersion>(rawResponse.Content, s_modelWriterOptionsWire, AzureAIProjectsAgentsContext.Default);
return result ?? throw new InvalidOperationException($"Failed to create agent version for agent '{agentName}'.");
}
private static async Task<FoundryAgent> CreateAIAgentAsync(
this AIProjectClient aiProjectClient,
string name,
IList<AITool>? tools,
AgentVersionCreationOptions creationOptions,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services,
CancellationToken cancellationToken)
{
var allowDeclarativeMode = tools is not { Count: > 0 };
if (!allowDeclarativeMode)
{
ApplyToolsToAgentDefinition(creationOptions.Definition, tools);
}
AgentVersion agentVersion = await CreateAgentVersionWithProtocolAsync(aiProjectClient, name, creationOptions, cancellationToken).ConfigureAwait(false);
return new FoundryAgent(aiProjectClient, AsChatClientAgent(aiProjectClient, agentVersion, tools, clientFactory, !allowDeclarativeMode, services));
}
/// <summary>
/// Creates an agent version with optional tool application, using the protocol method to inject user-agent headers.
/// </summary>
internal static async Task<AgentVersion> CreateAgentVersionWithProtocolAsync(AIProjectClient aiProjectClient, string agentName, AgentVersionCreationOptions creationOptions, IList<AITool>? tools, CancellationToken cancellationToken)
{
if (tools is { Count: > 0 })
{
ApplyToolsToAgentDefinition(creationOptions.Definition, tools);
}
return await CreateAgentVersionWithProtocolAsync(aiProjectClient, agentName, creationOptions, cancellationToken).ConfigureAwait(false);
}
/// <summary>
/// Creates an agent version from <see cref="ChatClientAgentOptions"/>, mapping options to a <see cref="PromptAgentDefinition"/>.
/// </summary>
internal static async Task<AgentVersion> CreateAgentVersionFromOptionsAsync(
AIProjectClient aiProjectClient,
string model,
ChatClientAgentOptions options,
CancellationToken cancellationToken)
{
PromptAgentDefinition agentDefinition = new(model)
{
Instructions = options.ChatOptions?.Instructions,
Temperature = options.ChatOptions?.Temperature,
TopP = options.ChatOptions?.TopP,
TextOptions = new() { TextFormat = ToOpenAIResponseTextFormat(options.ChatOptions?.ResponseFormat, options.ChatOptions) }
};
if (options.ChatOptions?.Reasoning is { } reasoning)
{
agentDefinition.ReasoningOptions = ToResponseReasoningOptions(reasoning);
}
else if (options.ChatOptions?.RawRepresentationFactory?.Invoke(new NoOpChatClient()) is CreateResponseOptions respCreationOptions)
{
agentDefinition.ReasoningOptions = respCreationOptions.ReasoningOptions;
}
ApplyToolsToAgentDefinition(agentDefinition, options.ChatOptions?.Tools);
AgentVersionCreationOptions creationOptions = new(agentDefinition);
if (!string.IsNullOrWhiteSpace(options.Description))
{
creationOptions.Description = options.Description;
}
return await CreateAgentVersionWithProtocolAsync(aiProjectClient, options.Name!, creationOptions, cancellationToken).ConfigureAwait(false);
}
/// <summary>Creates a <see cref="ChatClientAgent"/> with the specified options.</summary>
internal static ChatClientAgent CreateChatClientAgent(
AIProjectClient aiProjectClient,
AgentVersion agentVersion,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
{
IChatClient chatClient = new AzureAIProjectChatClient(aiProjectClient, agentVersion, agentOptions.ChatOptions);
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
}
return new ChatClientAgent(chatClient, agentOptions, services: services);
}
internal static ChatClientAgent CreateResponsesChatClientAgent(
AIProjectClient aiProjectClient,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
ILoggerFactory? loggerFactory,
IServiceProvider? services)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentOptions);
Throw.IfNull(agentOptions.ChatOptions);
Throw.IfNullOrWhitespace(agentOptions.ChatOptions.ModelId);
IChatClient chatClient = new AzureAIProjectResponsesChatClient(aiProjectClient, agentOptions.ChatOptions.ModelId);
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
}
return new ChatClientAgent(chatClient, agentOptions, loggerFactory, services);
}
/// <summary>This method creates an <see cref="ChatClientAgent"/> with the specified ChatClientAgentOptions.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient aiProjectClient,
AgentVersion agentVersion,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
=> CreateChatClientAgent(aiProjectClient, agentVersion, agentOptions, clientFactory, services);
/// <summary>This method creates an <see cref="ChatClientAgent"/> with the specified ChatClientAgentOptions.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient aiProjectClient,
AgentRecord agentRecord,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
{
IChatClient chatClient = new AzureAIProjectChatClient(aiProjectClient, agentRecord, agentOptions.ChatOptions);
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
}
return new ChatClientAgent(chatClient, agentOptions, services: services);
}
/// <summary>This method creates an <see cref="ChatClientAgent"/> with the specified ChatClientAgentOptions.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient aiProjectClient,
AgentReference agentReference,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
{
IChatClient chatClient = new AzureAIProjectChatClient(aiProjectClient, agentReference, defaultModelId: null, agentOptions.ChatOptions);
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
}
return new ChatClientAgent(chatClient, agentOptions, services: services);
}
/// <summary>This method creates an <see cref="ChatClientAgent"/> with a auto-generated ChatClientAgentOptions from the specified configuration parameters.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient AIProjectClient,
AgentVersion agentVersion,
IList<AITool>? tools,
Func<IChatClient, IChatClient>? clientFactory,
bool requireInvocableTools,
IServiceProvider? services)
=> AsChatClientAgent(
AIProjectClient,
agentVersion,
CreateChatClientAgentOptions(agentVersion, new ChatOptions() { Tools = tools }, requireInvocableTools),
clientFactory,
services);
/// <summary>This method creates an <see cref="ChatClientAgent"/> with a auto-generated ChatClientAgentOptions from the specified configuration parameters.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient AIProjectClient,
AgentRecord agentRecord,
IList<AITool>? tools,
Func<IChatClient, IChatClient>? clientFactory,
bool requireInvocableTools,
IServiceProvider? services)
=> AsChatClientAgent(
AIProjectClient,
agentRecord,
CreateChatClientAgentOptions(agentRecord.GetLatestVersion(), new ChatOptions() { Tools = tools }, requireInvocableTools),
clientFactory,
services);
/// <summary>
/// This method creates <see cref="ChatClientAgentOptions"/> for the specified <see cref="AgentVersion"/> and the provided tools.
/// </summary>
/// <param name="agentVersion">The agent version.</param>
/// <param name="chatOptions">The <see cref="ChatOptions"/> to use when interacting with the agent.</param>
/// <param name="requireInvocableTools">Indicates whether to enforce the presence of invocable tools when the AIAgent is created with an agent definition that uses them.</param>
/// <returns>The created <see cref="ChatClientAgentOptions"/>.</returns>
/// <exception cref="InvalidOperationException">Thrown when the agent definition requires in-process tools but none were provided.</exception>
/// <exception cref="InvalidOperationException">Thrown when the agent definition required tools were not provided.</exception>
/// <remarks>
/// This method rebuilds the agent options from the agent definition returned by the version and combine with the in-proc tools when provided
/// this ensures that all required tools are provided and the definition of the agent options are consistent with the agent definition coming from the server.
/// </remarks>
internal static ChatClientAgentOptions CreateChatClientAgentOptions(AgentVersion agentVersion, ChatOptions? chatOptions, bool requireInvocableTools)
{
var agentDefinition = agentVersion.Definition;
List<AITool>? agentTools = null;
if (agentDefinition is PromptAgentDefinition { Tools: { Count: > 0 } definitionTools })
{
// Check if no tools were provided while the agent definition requires in-proc tools.
if (requireInvocableTools && chatOptions?.Tools is not { Count: > 0 } && definitionTools.Any(t => t is FunctionTool))
{
throw new ArgumentException("The agent definition in-process tools must be provided in the extension method tools parameter.");
}
// Agregate all missing tools for a single error message.
List<string>? missingTools = null;
// Check function tools
foreach (ResponseTool responseTool in definitionTools)
{
if (responseTool is FunctionTool functionTool)
{
// Check if a tool with the same type and name exists in the provided tools.
// Always prefer matching AIFunction when available, regardless of requireInvocableTools.
var matchingTool = chatOptions?.Tools?.FirstOrDefault(t => t is AIFunction tf && functionTool.FunctionName == tf.Name);
if (matchingTool is not null)
{
(agentTools ??= []).Add(matchingTool!);
continue;
}
if (requireInvocableTools)
{
(missingTools ??= []).Add($"Function tool: {functionTool.FunctionName}");
continue;
}
}
(agentTools ??= []).Add(responseTool.AsAITool());
}
if (requireInvocableTools && missingTools is { Count: > 0 })
{
throw new InvalidOperationException($"The following prompt agent definition required tools were not provided: {string.Join(", ", missingTools)}");
}
}
// Use the agent version's ID if available, otherwise generate one from name and version.
// This handles cases where hosted agents (like MCP agents) may not have an ID assigned.
var version = string.IsNullOrWhiteSpace(agentVersion.Version) ? "latest" : agentVersion.Version;
var agentId = string.IsNullOrWhiteSpace(agentVersion.Id)
? $"{agentVersion.Name}:{version}"
: agentVersion.Id;
var agentOptions = new ChatClientAgentOptions()
{
Id = agentId,
Name = agentVersion.Name,
Description = agentVersion.Description,
};
if (agentDefinition is PromptAgentDefinition promptAgentDefinition)
{
agentOptions.ChatOptions ??= chatOptions?.Clone() ?? new();
agentOptions.ChatOptions.Instructions = promptAgentDefinition.Instructions;
agentOptions.ChatOptions.Temperature = promptAgentDefinition.Temperature;
agentOptions.ChatOptions.TopP = promptAgentDefinition.TopP;
}
if (agentTools is { Count: > 0 })
{
agentOptions.ChatOptions ??= chatOptions?.Clone() ?? new();
agentOptions.ChatOptions.Tools = agentTools;
}
return agentOptions;
}
/// <summary>
/// Creates a new instance of <see cref="ChatClientAgentOptions"/> configured for the specified agent version and
/// optional base options.
/// </summary>
/// <param name="agentVersion">The agent version to use when configuring the chat client agent options.</param>
/// <param name="options">An optional <see cref="ChatClientAgentOptions"/> instance whose relevant properties will be copied to the
/// returned options. If <see langword="null"/>, only default values are used.</param>
/// <param name="requireInvocableTools">Specifies whether the returned options must include invocable tools. Set to <see langword="true"/> to require
/// invocable tools; otherwise, <see langword="false"/>.</param>
/// <returns>A <see cref="ChatClientAgentOptions"/> instance configured according to the specified parameters.</returns>
internal static ChatClientAgentOptions CreateChatClientAgentOptions(AgentVersion agentVersion, ChatClientAgentOptions? options, bool requireInvocableTools)
{
var agentOptions = CreateChatClientAgentOptions(agentVersion, options?.ChatOptions, requireInvocableTools);
if (options is not null)
{
agentOptions.AIContextProviders = options.AIContextProviders;
agentOptions.ChatHistoryProvider = options.ChatHistoryProvider;
agentOptions.UseProvidedChatClientAsIs = options.UseProvidedChatClientAsIs;
}
return agentOptions;
}
/// <summary>
/// Adds the specified AI tools to a prompt agent definition, while also ensuring that all invocable tools are provided.
/// </summary>
/// <param name="agentDefinition">The agent definition to which the tools will be applied. Must be a PromptAgentDefinition to support tools.</param>
/// <param name="tools">A list of AI tools to add to the agent definition. If null or empty, no tools are added.</param>
/// <exception cref="ArgumentException">Thrown if tools were provided but <paramref name="agentDefinition"/> is not a <see cref="PromptAgentDefinition"/>.</exception>
/// <exception cref="InvalidOperationException">When providing functions, they need to be invokable AIFunctions.</exception>
private static void ApplyToolsToAgentDefinition(AgentDefinition agentDefinition, IList<AITool>? tools)
{
if (tools is { Count: > 0 })
{
if (agentDefinition is not PromptAgentDefinition promptAgentDefinition)
{
throw new ArgumentException("Only prompt agent definitions support tools.", nameof(agentDefinition));
}
// When tools are provided, those should represent the complete set of tools for the agent definition.
// This is particularly important for existing agents so no duplication happens for what was already defined.
promptAgentDefinition.Tools.Clear();
foreach (var tool in tools)
{
// Ensure that any AIFunctions provided are In-Proc, not just the declarations.
if (tool is not AIFunction && (
tool.GetService<FunctionTool>() is not null // Declarative FunctionTool converted as AsAITool()
|| tool is AIFunctionDeclaration)) // AIFunctionDeclaration type
{
throw new InvalidOperationException("When providing functions, they need to be invokable AIFunctions. AIFunctions can be created correctly using AIFunctionFactory.Create");
}
promptAgentDefinition.Tools.Add(
// If this is a converted ResponseTool as AITool, we can directly retrieve the ResponseTool instance from GetService.
tool.GetService<ResponseTool>()
// Otherwise we should be able to convert existing MEAI Tool abstractions into OpenAI ResponseTools
?? tool.AsOpenAIResponseTool()
?? throw new InvalidOperationException("The provided AITool could not be converted to a ResponseTool, ensure that the AITool was created using responseTool.AsAITool() extension."));
}
}
}
private static ResponseTextFormat? ToOpenAIResponseTextFormat(ChatResponseFormat? format, ChatOptions? options = null) =>
format switch
{
ChatResponseFormatText => ResponseTextFormat.CreateTextFormat(),
ChatResponseFormatJson jsonFormat when StrictSchemaTransformCache.GetOrCreateTransformedSchema(jsonFormat) is { } jsonSchema =>
ResponseTextFormat.CreateJsonSchemaFormat(
jsonFormat.SchemaName ?? "json_schema",
BinaryData.FromBytes(JsonSerializer.SerializeToUtf8Bytes(jsonSchema, AgentClientJsonContext.Default.JsonElement)),
jsonFormat.SchemaDescription,
HasStrict(options?.AdditionalProperties)),
ChatResponseFormatJson => ResponseTextFormat.CreateJsonObjectFormat(),
_ => null,
};
/// <summary>Key into AdditionalProperties used to store a strict option.</summary>
private const string StrictKey = "strictJsonSchema";
/// <summary>Gets whether the properties specify that strict schema handling is desired.</summary>
private static bool? HasStrict(IReadOnlyDictionary<string, object?>? additionalProperties) =>
additionalProperties?.TryGetValue(StrictKey, out object? strictObj) is true &&
strictObj is bool strictValue ?
strictValue : null;
/// <summary>
/// Gets the JSON schema transformer cache conforming to OpenAI <b>strict</b> / structured output restrictions per
/// https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#supported-schemas.
/// </summary>
private static AIJsonSchemaTransformCache StrictSchemaTransformCache { get; } = new(new()
{
DisallowAdditionalProperties = true,
ConvertBooleanSchemas = true,
MoveDefaultKeywordToDescription = true,
RequireAllProperties = true,
TransformSchemaNode = (ctx, node) =>
{
// Move content from common but unsupported properties to description. In particular, we focus on properties that
// the AIJsonUtilities schema generator might produce and/or that are explicitly mentioned in the OpenAI documentation.
if (node is JsonObject schemaObj)
{
StringBuilder? additionalDescription = null;
ReadOnlySpan<string> unsupportedProperties =
[
// Produced by AIJsonUtilities but not in allow list at https://platform.openai.com/docs/guides/structured-outputs#supported-properties:
"contentEncoding", "contentMediaType", "not",
// Explicitly mentioned at https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#key-ordering as being unsupported with some models:
"minLength", "maxLength", "pattern", "format",
"minimum", "maximum", "multipleOf",
"patternProperties",
"minItems", "maxItems",
// Explicitly mentioned at https://learn.microsoft.com/azure/ai-services/openai/how-to/structured-outputs?pivots=programming-language-csharp&tabs=python-secure%2Cdotnet-entra-id#unsupported-type-specific-keywords
// as being unsupported with Azure OpenAI:
"unevaluatedProperties", "propertyNames", "minProperties", "maxProperties",
"unevaluatedItems", "contains", "minContains", "maxContains", "uniqueItems",
];
foreach (string propName in unsupportedProperties)
{
if (schemaObj[propName] is { } propNode)
{
_ = schemaObj.Remove(propName);
AppendLine(ref additionalDescription, propName, propNode);
}
}
if (additionalDescription is not null)
{
schemaObj["description"] = schemaObj["description"] is { } descriptionNode && descriptionNode.GetValueKind() == JsonValueKind.String ?
$"{descriptionNode.GetValue<string>()}{Environment.NewLine}{additionalDescription}" :
additionalDescription.ToString();
}
return node;
static void AppendLine(ref StringBuilder? sb, string propName, JsonNode propNode)
{
sb ??= new();
if (sb.Length > 0)
{
_ = sb.AppendLine();
}
_ = sb.Append(propName).Append(": ").Append(propNode);
}
}
return node;
},
});
/// <summary>
/// This class is a no-op implementation of <see cref="IChatClient"/> to be used to honor the argument passed
/// while triggering <see cref="ChatOptions.RawRepresentationFactory"/> avoiding any unexpected exception on the caller implementation.
/// </summary>
private sealed class NoOpChatClient : IChatClient
{
public void Dispose() { }
public Task<ChatResponse> GetResponseAsync(IEnumerable<ChatMessage> messages, ChatOptions? options = null, CancellationToken cancellationToken = default)
=> Task.FromResult(new ChatResponse());
public object? GetService(Type serviceType, object? serviceKey = null) => null;
public async IAsyncEnumerable<ChatResponseUpdate> GetStreamingResponseAsync(IEnumerable<ChatMessage> messages, ChatOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
{
yield return new ChatResponseUpdate();
}
}
#endregion
#if NET
[GeneratedRegex("^[a-zA-Z0-9]([a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?$")]
private static partial Regex AgentNameValidationRegex();
#else
private static Regex AgentNameValidationRegex() => new("^[a-zA-Z0-9]([a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?$");
#endif
internal static string ThrowIfInvalidAgentName(string? name)
{
Throw.IfNullOrWhitespace(name);
if (!AgentNameValidationRegex().IsMatch(name))
{
throw new ArgumentException("Agent name must be 1-63 characters long, start and end with an alphanumeric character, and can only contain alphanumeric characters or hyphens.", nameof(name));
}
return name;
}
private static ResponseReasoningOptions? ToResponseReasoningOptions(ReasoningOptions reasoning)
{
ResponseReasoningEffortLevel? effortLevel = reasoning.Effort switch
{
ReasoningEffort.Low => ResponseReasoningEffortLevel.Low,
ReasoningEffort.Medium => ResponseReasoningEffortLevel.Medium,
ReasoningEffort.High => ResponseReasoningEffortLevel.High,
ReasoningEffort.ExtraHigh => ResponseReasoningEffortLevel.High,
_ => null,
};
ResponseReasoningSummaryVerbosity? summary = reasoning.Output switch
{
ReasoningOutput.Summary => ResponseReasoningSummaryVerbosity.Concise,
ReasoningOutput.Full => ResponseReasoningSummaryVerbosity.Detailed,
_ => null,
};
if (effortLevel is null && summary is null)
{
return null;
}
return new ResponseReasoningOptions
{
ReasoningEffortLevel = effortLevel,
ReasoningSummaryVerbosity = summary,
};
}
}
[JsonSerializable(typeof(JsonElement))]
internal sealed partial class AgentClientJsonContext : JsonSerializerContext;
@@ -1,7 +1,11 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Runtime.CompilerServices;
using System.Threading;
using System.Threading.Tasks;
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
@@ -10,7 +14,7 @@ using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
using OpenAI.Responses;
namespace Microsoft.Agents.AI.AzureAI;
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// Provides a chat client implementation that integrates with Azure AI Agents, enabling chat interactions using
@@ -0,0 +1,436 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Linq;
using System.Text.Json;
using System.Text.Json.Serialization;
using System.Text.RegularExpressions;
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects.Agents;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Foundry;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Logging;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
using OpenAI.Responses;
namespace Azure.AI.Projects;
/// <summary>
/// Provides extension methods for <see cref="AIProjectClient"/>.
/// </summary>
[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
public static partial class AzureAIProjectChatClientExtensions
{
/// <summary>
/// Uses an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AIProjectClient"/> and <see cref="AgentReference"/>.
/// </summary>
/// <param name="aiProjectClient">The <see cref="AIProjectClient"/> to create the <see cref="ChatClientAgent"/> with. Cannot be <see langword="null"/>.</param>
/// <param name="agentReference">The <see cref="AgentReference"/> representing the name and version of the server side agent to create a <see cref="ChatClientAgent"/> for. Cannot be <see langword="null"/>.</param>
/// <param name="tools">The tools to use when interacting with the agent. This is required when using prompt agent definitions with tools.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations based on the latest version of the named Azure AI Agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="agentReference"/> is <see langword="null"/>.</exception>
/// <exception cref="InvalidOperationException">The agent with the specified name was not found.</exception>
/// <remarks>
/// When instantiating a <see cref="ChatClientAgent"/> by using an <see cref="AgentReference"/>, minimal information will be available about the agent in the instance level, and any logic that relies
/// on <see cref="AIAgent.GetService{TService}(object?)"/> to retrieve information about the agent like <see cref="AgentVersion" /> will receive <see langword="null"/> as the result.
/// </remarks>
public static FoundryAgent AsAIAgent(
this AIProjectClient aiProjectClient,
AgentReference agentReference,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentReference);
ThrowIfInvalidAgentName(agentReference.Name);
var innerAgent = AsChatClientAgent(
aiProjectClient,
agentReference,
new ChatClientAgentOptions()
{
Id = $"{agentReference.Name}:{agentReference.Version}",
Name = agentReference.Name,
ChatOptions = new() { Tools = tools },
},
clientFactory,
services);
return new FoundryAgent(aiProjectClient, innerAgent);
}
/// <summary>
/// Uses an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AIProjectClient"/> and <see cref="AgentRecord"/>.
/// </summary>
/// <param name="aiProjectClient">The client used to interact with Azure AI Agents. Cannot be <see langword="null"/>.</param>
/// <param name="agentRecord">The agent record to be converted. The latest version will be used. Cannot be <see langword="null"/>.</param>
/// <param name="tools">The tools to use when interacting with the agent. This is required when using prompt agent definitions with tools.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations based on the latest version of the Azure AI Agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="agentRecord"/> is <see langword="null"/>.</exception>
public static FoundryAgent AsAIAgent(
this AIProjectClient aiProjectClient,
AgentRecord agentRecord,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentRecord);
var allowDeclarativeMode = tools is not { Count: > 0 };
var innerAgent = AsChatClientAgent(
aiProjectClient,
agentRecord,
tools,
clientFactory,
!allowDeclarativeMode,
services);
return new FoundryAgent(aiProjectClient, innerAgent);
}
/// <summary>
/// Uses an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AIProjectClient"/> and <see cref="AgentVersion"/>.
/// </summary>
/// <param name="aiProjectClient">The client used to interact with Azure AI Agents. Cannot be <see langword="null"/>.</param>
/// <param name="agentVersion">The agent version to be converted. Cannot be <see langword="null"/>.</param>
/// <param name="tools">In-process invocable tools to be provided. If no tools are provided manual handling will be necessary to invoke in-process tools.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations based on the provided version of the Azure AI Agent.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="agentVersion"/> is <see langword="null"/>.</exception>
public static FoundryAgent AsAIAgent(
this AIProjectClient aiProjectClient,
AgentVersion agentVersion,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentVersion);
var allowDeclarativeMode = tools is not { Count: > 0 };
var innerAgent = AsChatClientAgent(
aiProjectClient,
agentVersion,
tools,
clientFactory,
!allowDeclarativeMode,
services);
return new FoundryAgent(aiProjectClient, innerAgent);
}
/// <summary>
/// Creates a non-versioned <see cref="ChatClientAgent"/> backed by the project's Responses API using the specified model and instructions.
/// </summary>
/// <param name="aiProjectClient">The <see cref="AIProjectClient"/> to use for Responses API calls. Cannot be <see langword="null"/>.</param>
/// <param name="model">The model deployment name to use for the agent. Cannot be <see langword="null"/> or whitespace.</param>
/// <param name="instructions">The instructions that guide the agent's behavior. Cannot be <see langword="null"/> or whitespace.</param>
/// <param name="name">Optional name for the agent.</param>
/// <param name="description">Optional human-readable description for the agent.</param>
/// <param name="tools">Optional collection of tools that the agent can invoke during conversations.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="loggerFactory">Optional logger factory for creating loggers used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> backed by the project's Responses API.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> is <see langword="null"/>.</exception>
/// <exception cref="ArgumentException">Thrown when <paramref name="model"/> or <paramref name="instructions"/> is empty or whitespace.</exception>
public static ChatClientAgent AsAIAgent(
this AIProjectClient aiProjectClient,
string model,
string instructions,
string? name = null,
string? description = null,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
ILoggerFactory? loggerFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNullOrWhitespace(model);
Throw.IfNullOrWhitespace(instructions);
ChatClientAgentOptions options = new()
{
Name = name,
Description = description,
ChatOptions = new ChatOptions
{
ModelId = model,
Instructions = instructions,
Tools = tools,
},
};
return CreateResponsesChatClientAgent(aiProjectClient, options, clientFactory, loggerFactory, services);
}
/// <summary>
/// Creates a non-versioned <see cref="ChatClientAgent"/> backed by the project's Responses API using the specified options.
/// </summary>
/// <param name="aiProjectClient">The <see cref="AIProjectClient"/> to use for Responses API calls. Cannot be <see langword="null"/>.</param>
/// <param name="options">Configuration options that control the agent's behavior. <see cref="ChatOptions.ModelId"/> is required.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
/// <param name="loggerFactory">Optional logger factory for creating loggers used by the agent.</param>
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
/// <returns>A <see cref="ChatClientAgent"/> backed by the project's Responses API.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="aiProjectClient"/> or <paramref name="options"/> is <see langword="null"/>.</exception>
/// <exception cref="ArgumentException">Thrown when <paramref name="options"/> does not specify <see cref="ChatOptions.ModelId"/>.</exception>
public static ChatClientAgent AsAIAgent(
this AIProjectClient aiProjectClient,
ChatClientAgentOptions options,
Func<IChatClient, IChatClient>? clientFactory = null,
ILoggerFactory? loggerFactory = null,
IServiceProvider? services = null)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(options);
return CreateResponsesChatClientAgent(aiProjectClient, options, clientFactory, loggerFactory, services);
}
#region Private
/// <summary>Creates a <see cref="ChatClientAgent"/> with the specified options.</summary>
private static ChatClientAgent CreateChatClientAgent(
AIProjectClient aiProjectClient,
AgentVersion agentVersion,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
{
IChatClient chatClient = new AzureAIProjectChatClient(aiProjectClient, agentVersion, agentOptions.ChatOptions);
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
}
return new ChatClientAgent(chatClient, agentOptions, services: services);
}
private static ChatClientAgent CreateResponsesChatClientAgent(
AIProjectClient aiProjectClient,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
ILoggerFactory? loggerFactory,
IServiceProvider? services)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentOptions);
Throw.IfNull(agentOptions.ChatOptions);
Throw.IfNullOrWhitespace(agentOptions.ChatOptions.ModelId);
IChatClient chatClient = aiProjectClient
.GetProjectOpenAIClient()
.GetResponsesClient()
.AsIChatClient(agentOptions.ChatOptions.ModelId);
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
}
return new ChatClientAgent(chatClient, agentOptions, loggerFactory, services);
}
/// <summary>This method creates an <see cref="ChatClientAgent"/> with the specified ChatClientAgentOptions.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient aiProjectClient,
AgentVersion agentVersion,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
=> CreateChatClientAgent(aiProjectClient, agentVersion, agentOptions, clientFactory, services);
/// <summary>This method creates an <see cref="ChatClientAgent"/> with the specified ChatClientAgentOptions.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient aiProjectClient,
AgentRecord agentRecord,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
{
IChatClient chatClient = new AzureAIProjectChatClient(aiProjectClient, agentRecord, agentOptions.ChatOptions);
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
}
return new ChatClientAgent(chatClient, agentOptions, services: services);
}
/// <summary>This method creates an <see cref="ChatClientAgent"/> with the specified ChatClientAgentOptions.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient aiProjectClient,
AgentReference agentReference,
ChatClientAgentOptions agentOptions,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
{
IChatClient chatClient = new AzureAIProjectChatClient(aiProjectClient, agentReference, defaultModelId: null, agentOptions.ChatOptions);
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
}
return new ChatClientAgent(chatClient, agentOptions, services: services);
}
/// <summary>This method creates an <see cref="ChatClientAgent"/> with a auto-generated ChatClientAgentOptions from the specified configuration parameters.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient AIProjectClient,
AgentVersion agentVersion,
IList<AITool>? tools,
Func<IChatClient, IChatClient>? clientFactory,
bool requireInvocableTools,
IServiceProvider? services)
=> AsChatClientAgent(
AIProjectClient,
agentVersion,
CreateChatClientAgentOptions(agentVersion, new ChatOptions() { Tools = tools }, requireInvocableTools),
clientFactory,
services);
/// <summary>This method creates an <see cref="ChatClientAgent"/> with a auto-generated ChatClientAgentOptions from the specified configuration parameters.</summary>
private static ChatClientAgent AsChatClientAgent(
AIProjectClient AIProjectClient,
AgentRecord agentRecord,
IList<AITool>? tools,
Func<IChatClient, IChatClient>? clientFactory,
bool requireInvocableTools,
IServiceProvider? services)
=> AsChatClientAgent(
AIProjectClient,
agentRecord,
CreateChatClientAgentOptions(agentRecord.GetLatestVersion(), new ChatOptions() { Tools = tools }, requireInvocableTools),
clientFactory,
services);
/// <summary>
/// This method creates <see cref="ChatClientAgentOptions"/> for the specified <see cref="AgentVersion"/> and the provided tools.
/// </summary>
/// <param name="agentVersion">The agent version.</param>
/// <param name="chatOptions">The <see cref="ChatOptions"/> to use when interacting with the agent.</param>
/// <param name="requireInvocableTools">Indicates whether to enforce the presence of invocable tools when the AIAgent is created with an agent definition that uses them.</param>
/// <returns>The created <see cref="ChatClientAgentOptions"/>.</returns>
/// <exception cref="InvalidOperationException">Thrown when the agent definition requires in-process tools but none were provided.</exception>
/// <exception cref="InvalidOperationException">Thrown when the agent definition required tools were not provided.</exception>
/// <remarks>
/// This method rebuilds the agent options from the agent definition returned by the version and combine with the in-proc tools when provided
/// this ensures that all required tools are provided and the definition of the agent options are consistent with the agent definition coming from the server.
/// </remarks>
private static ChatClientAgentOptions CreateChatClientAgentOptions(AgentVersion agentVersion, ChatOptions? chatOptions, bool requireInvocableTools)
{
var agentDefinition = agentVersion.Definition;
List<AITool>? agentTools = null;
if (agentDefinition is PromptAgentDefinition { Tools: { Count: > 0 } definitionTools })
{
// Check if no tools were provided while the agent definition requires in-proc tools.
if (requireInvocableTools && chatOptions?.Tools is not { Count: > 0 } && definitionTools.Any(t => t is FunctionTool))
{
throw new ArgumentException("The agent definition in-process tools must be provided in the extension method tools parameter.");
}
// Agregate all missing tools for a single error message.
List<string>? missingTools = null;
// Check function tools
foreach (ResponseTool responseTool in definitionTools)
{
if (responseTool is FunctionTool functionTool)
{
// Check if a tool with the same type and name exists in the provided tools.
// Always prefer matching AIFunction when available, regardless of requireInvocableTools.
var matchingTool = chatOptions?.Tools?.FirstOrDefault(t => t is AIFunction tf && functionTool.FunctionName == tf.Name);
if (matchingTool is not null)
{
(agentTools ??= []).Add(matchingTool!);
continue;
}
if (requireInvocableTools)
{
(missingTools ??= []).Add($"Function tool: {functionTool.FunctionName}");
continue;
}
}
(agentTools ??= []).Add(responseTool.AsAITool());
}
if (requireInvocableTools && missingTools is { Count: > 0 })
{
throw new InvalidOperationException($"The following prompt agent definition required tools were not provided: {string.Join(", ", missingTools)}");
}
}
// Use the agent version's ID if available, otherwise generate one from name and version.
// This handles cases where hosted agents (like MCP agents) may not have an ID assigned.
var version = string.IsNullOrWhiteSpace(agentVersion.Version) ? "latest" : agentVersion.Version;
var agentId = string.IsNullOrWhiteSpace(agentVersion.Id)
? $"{agentVersion.Name}:{version}"
: agentVersion.Id;
var agentOptions = new ChatClientAgentOptions()
{
Id = agentId,
Name = agentVersion.Name,
Description = agentVersion.Description,
};
if (agentDefinition is PromptAgentDefinition promptAgentDefinition)
{
agentOptions.ChatOptions ??= chatOptions?.Clone() ?? new();
agentOptions.ChatOptions.Instructions = promptAgentDefinition.Instructions;
agentOptions.ChatOptions.Temperature = promptAgentDefinition.Temperature;
agentOptions.ChatOptions.TopP = promptAgentDefinition.TopP;
}
if (agentTools is { Count: > 0 })
{
agentOptions.ChatOptions ??= chatOptions?.Clone() ?? new();
agentOptions.ChatOptions.Tools = agentTools;
}
return agentOptions;
}
#if NET
[GeneratedRegex("^[a-zA-Z0-9]([a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?$")]
private static partial Regex AgentNameValidationRegex();
#else
private static Regex AgentNameValidationRegex() => new("^[a-zA-Z0-9]([a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?$");
#endif
internal static string ThrowIfInvalidAgentName(string? name)
{
Throw.IfNullOrWhitespace(name);
if (!AgentNameValidationRegex().IsMatch(name))
{
throw new ArgumentException("Agent name must be 1-63 characters long, start and end with an alphanumeric character, and can only contain alphanumeric characters or hyphens.", nameof(name));
}
return name;
}
}
[JsonSerializable(typeof(JsonElement))]
internal sealed partial class AgentClientJsonContext : JsonSerializerContext;
#endregion
@@ -1,10 +1,11 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using Azure.AI.Projects;
using Microsoft.Extensions.AI;
using Microsoft.Shared.Diagnostics;
namespace Microsoft.Agents.AI.AzureAI;
namespace Microsoft.Agents.AI.Foundry;
#pragma warning disable OPENAI001
internal sealed class AzureAIProjectResponsesChatClient : DelegatingChatClient
@@ -1,5 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using Azure.AI.Projects.Agents;
using Microsoft.Extensions.AI;
@@ -8,7 +10,7 @@ using OpenAI.Responses;
#pragma warning disable OPENAI001
namespace Microsoft.Agents.AI.AzureAI;
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// Provides factory methods for creating <see cref="AITool"/> instances from Microsoft Foundry and OpenAI response tools.

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