* Add support for the Foundry Toolbox in MAF
Introduces a Foundry Toolbox integration: FoundryChatClient gains a
get_toolbox() helper plus select_toolbox_tools(), normalize_tools in
the core package flattens tool-collection wrappers (ToolboxVersionObject
and generic iterables, while leaving Pydantic BaseModel instances
alone), and the new agent_framework.foundry namespace re-exports the
toolbox helpers. Ships with unit tests, a sample, and a design doc.
azure-ai-projects is pinned to the public >=2.0.0,<3.0 range and the
lockfile resolves from public PyPI. The toolbox test module skips when
Toolbox* types are unavailable so CI stays green until the public 2.1.0
SDK lands. OMC tooling directories (.omc/, .omx/) are gitignored.
* Update to latest azure ai projects package
* Improve sample
* Rename ADR to 0025
* Update ADR
* Apply suggestion from @alliscode
Co-authored-by: Ben Thomas <ben.thomas@microsoft.com>
* Improve samples
* Update test
---------
Co-authored-by: Ben Thomas <ben.thomas@microsoft.com>
* Python: Migrate GitHub Copilot package to SDK 0.2.x
Replace all imports from the non-existent copilot.types module with
correct SDK 0.2.x module paths (copilot.session, copilot.client,
copilot.tools, copilot.generated.session_events). Fix PermissionRequest
attribute access from dict-style .get() to dataclass attribute access.
Add OTel telemetry support to Copilot samples via configure_otel_providers
and document new telemetry environment variables in samples README.
* Python: Fix remaining copilot.types import in sample validation script
* Python: Include model in default_options for telemetry span attributes
* Python: Address review feedback on log_level and session kwargs typing
* Python: Scope PR to SDK 0.2.x migration only, remove net-new OTel features
- Remove RawGitHubCopilotAgent split and AgentTelemetryLayer inheritance
- Remove TelemetryConfig plumbing and OTLP/file telemetry settings
- Remove configure_otel_providers() calls from samples
- Remove telemetry env var rows from samples README
- Retain only: import path fixes, PermissionRequest attribute access fix,
log_level default fix, session kwargs typed fix, dependency pin
* Python: Update tests for SDK 0.2.x API changes
- SubprocessConfig replaces CopilotClientOptions dict
- create_session and resume_session now use keyword args
- send and send_and_wait take plain string prompt instead of MessageOptions
- on_permission_request is always required; deny-all fallback replaces omission
* Python: Pin github-copilot-sdk to >=0.2.0,<=0.2.0
Tighten the upper bound from <0.3.0 to <=0.2.0 to avoid pulling in 0.2.1+
which has breaking API changes relative to 0.2.0. The lower bound stays at
>=0.2.0 since this migration requires the 0.2.x import paths; 0.1.x would
fail at import time.
* Python: Pin github-copilot-sdk to >=0.2.1,<=0.2.1
---------
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
* Fix reasoning text done events duplicating streamed delta content (#5157)
The OpenAI Responses API sends both reasoning_text.delta (incremental
chunks) and reasoning_text.done (full accumulated text) events. The
chat client was emitting Content for both, causing ag-ui to append the
full done text onto already-accumulated delta text, producing
duplicated reasoning output.
Stop emitting Content for reasoning_text.done and
reasoning_summary_text.done events, matching how output_text.done is
already handled (not emitted). The deltas contain all the content;
the done event is redundant.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(openai): emit reasoning done content as fallback when no deltas observed (#5157)
Address PR review feedback:
- Track item_ids that received reasoning deltas via seen_reasoning_delta_item_ids set
- Emit content from done events only when no deltas were received for the
item_id, preventing silent content loss on stream resumption
- Add comment documenting code_interpreter done event asymmetry
- Replace redundant ag-ui test with deduplication-focused test
- Add integration test for delta+done sequence in OpenAI chat client tests
- Add fallback path tests for done events without preceding deltas
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #5157: Python: [Bug]: "type": "response.reasoning_text.delta" and "response.reasoning_text.done" both get exposed as "text_reasoning"
* Fix AG-UI reasoning streaming to use proper Start/End pattern (#5157)
_emit_text_reasoning now follows the same streaming pattern as _emit_text:
- Emits ReasoningStartEvent/ReasoningMessageStartEvent only on the first
delta for a given message_id
- Emits only ReasoningMessageContentEvent for subsequent deltas
- Defers ReasoningMessageEndEvent/ReasoningEndEvent until
_close_reasoning_block is called (on content type switch or end-of-run)
This produces the correct protocol pattern:
ReasoningStartEvent
ReasoningMessageStartEvent
ReasoningMessageContentEvent(delta1)
ReasoningMessageContentEvent(delta2)
ReasoningMessageEndEvent
ReasoningEndEvent
Instead of wrapping every delta in a full Start→End sequence.
Backward compatibility is preserved: calling _emit_text_reasoning without
a flow argument still produces the full sequence per call.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix import ordering lint error in AG-UI test file (#5157)
Move inline import of TextMessageContentEvent to the top-level import
block and ensure alphabetical ordering to satisfy ruff I001 rule.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix mypy error: rename loop variable to avoid type conflict with WorkflowEvent
The 'event' variable was already typed as WorkflowEvent[Any] from the
async for loop at line 590. Reusing it in the _close_reasoning_block
loop (which returns list[BaseEvent]) caused an incompatible assignment
error. Renamed to 'reasoning_evt' to avoid the conflict.
Fixes#5162
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #5157: review comment fixes
* narrow test result reporting to explicit pytest JUnit XML
* Fix test args
* Fix pytest-results-action in merge workflow and remove committed test artifacts
Apply the same JUnit XML fix from python-tests.yml to python-merge-tests.yml:
add --junitxml=pytest.xml to all test commands and narrow the results action
path from ./python/**.xml to ./python/pytest.xml. Also remove accidentally
committed pytest.xml and python-coverage.xml and add them to .gitignore.
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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>
* 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
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix agent_with_hosted_mcp sample to use AzureOpenAIResponsesClient (#4861)
The agent_with_hosted_mcp sample used AzureOpenAIChatClient with an MCP tool
dict, but the Chat Completions API only supports 'function' and 'custom' tool
types, not 'mcp'. This caused a 400 error at runtime.
Switch the sample to AzureOpenAIResponsesClient which natively supports MCP
tools via the Responses API. Use get_mcp_tool() to construct the tool config.
Changes:
- main.py: Replace AzureOpenAIChatClient with AzureOpenAIResponsesClient
- requirements.txt: Update azure-ai-agentserver-agentframework to 1.0.0b16
and use agent-framework-azure-ai package
- agent.yaml: Use AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME env var
- Add regression test documenting chat client MCP tool passthrough behavior
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix agent_with_hosted_mcp sample to use Responses API client for MCP tools
Fixes#4861
* Remove REPRODUCTION_REPORT.md investigation artifact (#4861)
Remove the reproduction report markdown file from the test directory.
Investigation notes belong in the GitHub issue or PR description,
not as committed files in the source tree. The regression test in
test_openai_chat_client.py already provides automated verification.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add MCP tool API rejection regression test (#4861)
Add test_mcp_tool_dict_causes_api_rejection to verify that MCP tool
dicts passed through to the Chat Completions API result in a clear
ChatClientException rather than being silently dropped. This completes
the regression test coverage requested in code review.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* small fix
* Revert deletion of dotnet local.settings.json files
Restore the two local.settings.json files that were accidentally deleted in this PR.
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>
* Python: Remove unsupported memory scoping params from samples and docs
Fixes#4353
The `Mem0ContextProvider` and `RedisContextProvider` no longer support
`thread_id` or `scope_to_per_operation_thread_id` parameters. This commit
updates the affected samples and READMEs to use only the currently
supported API (`user_id`, `agent_id`, `application_id`).
Changes:
- mem0_sessions.py: Remove `thread_id` and
`scope_to_per_operation_thread_id` from examples 1 and 2, rewrite to
demonstrate user-scoped and agent-scoped memory patterns
- redis_sessions.py: Update module docstring to remove references to
removed thread scoping params
- mem0/README.md: Update Memory Scoping docs to reflect current API
- redis/README.md: Remove `thread_id` and
`scope_to_per_operation_thread_id` references from docs
* Address Copilot review: rename thread_scope functions, fix docstring
- Rename `example_global_thread_scope` -> `example_global_memory_scope`
- Rename `example_per_operation_thread_scope` -> `example_agent_scoped_memory`
- Update example 2 docstring to mention `application_id` alongside
`user_id` and `agent_id` since it's set in the provider config
- Update module docstring scenario 2 to include `application_id`
* fix: rebase onto main, address giles17 review feedback
- Resolve merge conflicts by rebasing all 4 original files onto current main
- Address giles17's agent review suggestions:
- mem0_basic.py: update comment to remove thread_id from scoping list
- mem0_oss.py: update comment to remove thread_id from scoping list
- redis_sessions.py: rename Example 2 from "Agent-Scoped Memory" to
"Hybrid Vector Search" to accurately describe what it demonstrates
- redis/README.md: update Example 2 description to match renamed example
---------
Co-authored-by: Tao Chen <taochen@microsoft.com>
Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com>
* Add Python A2A agent-as-function-tools sample
Port of the .NET A2AAgent_AsFunctionTools sample to Python.
Resolves a remote A2A agent card, converts each skill to a
FunctionTool via as_tool(), and registers them with a host agent
using AzureOpenAIResponsesClient.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Sanitize A2A skill names before passing to as_tool()
as_tool() only auto-sanitizes when name is omitted. Since we pass
skill.name explicitly, we need to strip special characters ourselves.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Add header_provider to MCPStreamableHTTPTool (#4808)
Add a header_provider callback parameter to MCPStreamableHTTPTool that
enables injecting dynamic per-request HTTP headers from runtime kwargs
(originating from FunctionInvocationContext.kwargs set in agent middleware).
The implementation uses contextvars and httpx event hooks to ensure headers
are task-local and safe for concurrent tool calls:
- header_provider receives the runtime kwargs dict and returns headers
- call_tool sets a ContextVar before delegating to MCPTool.call_tool
- An httpx request event hook reads from the ContextVar and injects headers
Example usage:
mcp_tool = MCPStreamableHTTPTool(
name="web-api",
url="https://api.example.com/mcp",
header_provider=lambda kwargs: {
"X-Auth-Token": kwargs.get("auth_token", ""),
},
)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4808: Python: [Bug]: Unable to pass AgentContext to MCPStreamableHTTPTool
* Add test for header_provider via FunctionTool.invoke with FunctionInvocationContext
Addresses PR review comment: exercises the full pipeline from
FunctionInvocationContext.kwargs through FunctionTool.invoke to
MCPStreamableHTTPTool.call_tool and header_provider, rather than
testing call_tool in isolation.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4808: review comment fixes
* Fix streamable MCP transport defaults
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix Azure AI test client mocks
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix MCP runtime kwarg regressions
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Stabilize MCP tool runtime kwargs
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Use context kwargs in MCP wrappers
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated mcp samples
* fix link
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix sample bugs: incorrect API params, wrong client types, and invalid options
- typed_options.py: Fix AnthropicClient model->model_id, wrap raw strings in Message objects for get_response(), fix reasoning_effort->reasoning dict, fix budget_tokens minimum (1024), use OpenAIChatClient not FoundryChatClient, remove unused import
- client_reasoning.py: Fix deprecated model_id to model param
- client_with_hosted_mcp.py: Remove invalid store=True kwarg from Agent.run()
- code_defined_skill.py: Fix precision kwarg to use function_invocation_kwargs
- Various other samples: Fix deprecated API usage and incorrect params
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review comments
- client_with_hosted_mcp.py: Fix remaining store=True kwarg on line 68 to use options dict
- client_with_session.py: Change store=True to store=False to match in-memory persistence demo intent
- typed_options.py: Remove non-existent import and model key from docstring example
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* new sample fixes
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Tao Chen
Christian GlessnerandGitHub
