mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
feature/hosted-dwf
443 Commits
-
Python: [BREAKING] Standardize orchestration terminal outputs as AgentResponse (#5301)
* Fix orchestration outputs so as_agent() returns the final answer only. Align other orchestration outputs * Fix orchestration output issues from review comments 1. Sample cleanup: Remove commented-out FoundryChatClient block and update prerequisites to reference OPENAI_CHAT_MODEL_ID instead of FOUNDRY_* vars. 2. Sequential approval output: Change _EndWithConversation.end_with_agent_executor_response from a no-op sink to yield response.agent_response. When the last participant is AgentApprovalExecutor (via with_request_info), _EndWithConversation is the output executor so the yield produces the terminal answer. When the last participant is a regular AgentExecutor, _EndWithConversation is not in output_executors so the yield is silently filtered out. 3. Forward data events through WorkflowExecutor: _process_workflow_result now also forwards 'data' events from sub-workflows so that emit_intermediate_data=True on AgentExecutor works correctly when wrapped in AgentApprovalExecutor. 4. Concurrent docstring: Update _AggregateAgentConversations docstring to say 'deterministic participant order' instead of 'completion order'. 5. Add test_concurrent_intermediate_outputs_emits_data_events verifying that ConcurrentBuilder(intermediate_outputs=True) emits per-participant data events alongside the single aggregated output event. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add tests for sequential workflow with_request_info and intermediate_outputs (#5301) Address PR review comments 2, 3, and 5: - Add test_sequential_request_info_last_participant_emits_output: Verifies that when the last participant is wrapped via with_request_info() (AgentApprovalExecutor), the workflow still emits a terminal output after approval, exercising the _EndWithConversation.end_with_agent_executor_response fallback path. - Add test_sequential_request_info_with_intermediate_outputs_emits_data_events: Verifies that emit_intermediate_data=True works correctly through AgentApprovalExecutor wrapping—WorkflowExecutor._process_result already forwards data events from sub-workflows, so intermediate agent responses surface as data events in the parent workflow. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright type errors from AgentResponse output refactor (#5301) Update cast() calls in _group_chat.py and _magentic.py to use WorkflowContext[Never, AgentResponse] instead of the old WorkflowContext[Never, list[Message]], matching the updated method signatures in _base_group_chat_orchestrator.py. Fix _sequential.py _EndWithConversation.end_with_agent_executor_response to declare WorkflowContext[Any, AgentResponse] so yield_output accepts AgentResponse[None]. Fix _workflow_executor.py data event forwarding to handle nullable executor_id. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright reportUnknownVariableType in _agent.py (#5301) Extract event.data into a typed local variable before the isinstance check to avoid pyright narrowing it to AgentResponse[Unknown]. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright reportMissingImports for orjson in file history samples (#5301) Add pyright: ignore[reportMissingImports] to orjson imports that are already guarded by try/except ImportError, matching the existing pattern used elsewhere in the samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback for #5301: review comment fixes * Address review feedback for #5301: review comment fixes * Revert sequential_workflow_as_agent sample to FoundryChatClient Reverts the mistaken switch from FoundryChatClient to OpenAIChatClient in the sequential workflow as agent sample. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address ultrareview feedback: emit_data_events rename + WorkflowAgent reasoning conversion Layered on top of the prior review-feedback work in this branch. Renames: - AgentExecutor.emit_intermediate_data -> emit_data_events (mechanical rename; orchestration semantics live at the orchestration layer, not the general-purpose executor). Forwarded through MagenticAgentExecutor, AgentApprovalExecutor, and all orchestration call sites. - HandoffAgentExecutor._check_terminate_and_yield -> _should_terminate (pure predicate; no longer yields anything). HandoffBuilder docstring rewritten to describe the new per-agent AgentResponse output contract. WorkflowAgent reasoning-content conversion: - Add _rewrite_text_to_reasoning(contents) and _msg_as_reasoning(msg) helpers; the as_agent() path now reframes text content from data events as text_reasoning Content blocks before merging into the AgentResponse. - Consumers iterate msg.contents and branch on content.type — same path they already use for Claude thinking and OpenAI reasoning. No new field on Message/AgentResponse/WorkflowEvent. - Streaming branch constructs fresh AgentResponseUpdate instances instead of mutating shared payloads (regression test added). - Helper _msg_maybe_reasoning consolidates the conditional rewrite at three call sites in the non-streaming conversion. Tests: - TestWorkflowAgentReasoningHelpers + TestWorkflowAgentDataEventReasoningConversion add 9 new tests covering helpers, non-streaming, streaming, mixed content, already-reasoning passthrough, and mutation-safety regression. - Updated test_sequential_as_agent_with_intermediate_outputs_includes_chain to assert text_reasoning content for intermediate agents. * Fix pyright: widen event.data to Any to avoid partial-unknown narrowing The streaming conversion path narrowed event.data via isinstance against generic AgentResponse, producing AgentResponse[Unknown] and tripping reportUnknownVariableType/reportUnknownMemberType. Binding data: Any before the check keeps runtime behavior identical while restoring a fully known type for downstream access. * Clean up design * Scope to agent output semantics only * yield AgentResponseUpdate streaming, AgentResponse non-streaming * Fix mypy/pyright: widen cast types at GroupChat callsites Eight callsites in _group_chat.py still cast to WorkflowContext[Never, AgentResponse] but the base orchestrator methods now accept the wider WorkflowContext[Never, AgentResponse | AgentResponseUpdate] (mode-aware yields). W_OutT is invariant, so the narrower cast is not assignable. Magentic was widened in the same commit; this catches the GroupChat callsites that were missed. * Python: skip flaky Foundry / Foundry Hosting integration tests (#5553) These two integration tests have been failing in the merge queue across multiple unrelated PRs (5301, 5531). Both are marked `@pytest.mark.flaky` with 3 retries, but all attempts fail back-to-back. Skipping both with a reason pointing to #5553 so they can be fixed properly without continuing to block unrelated merges. - packages/foundry_hosting/tests/test_responses_int.py::TestOptions::test_temperature_and_max_tokens - packages/foundry/tests/foundry/test_foundry_embedding_client.py::TestFoundryEmbeddingIntegration::test_text_embedding_live Also includes a one-line uv.lock specifier-ordering normalization auto-applied by the poe-check pre-commit hook. --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Evan Mattson ·
2026-04-29 00:35:36 +00:00 -
Bump vite in /python/samples/05-end-to-end/chatkit-integration/frontend (#5126)
Bumps [vite](https://github.com/vitejs/vite/tree/HEAD/packages/vite) from 7.1.12 to 7.3.2. - [Release notes](https://github.com/vitejs/vite/releases) - [Changelog](https://github.com/vitejs/vite/blob/v7.3.2/packages/vite/CHANGELOG.md) - [Commits](https://github.com/vitejs/vite/commits/v7.3.2/packages/vite) --- updated-dependencies: - dependency-name: vite dependency-version: 7.3.2 dependency-type: direct:development ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
dependabot[bot] ·
2026-04-28 08:08:36 +00:00 -
Bump picomatch (#4936)
Bumps [picomatch](https://github.com/micromatch/picomatch) from 4.0.3 to 4.0.4. - [Release notes](https://github.com/micromatch/picomatch/releases) - [Changelog](https://github.com/micromatch/picomatch/blob/master/CHANGELOG.md) - [Commits](https://github.com/micromatch/picomatch/compare/4.0.3...4.0.4) --- updated-dependencies: - dependency-name: picomatch dependency-version: 4.0.4 dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-04-28 07:27:15 +00:00 -
Bump postcss (#5491)
Bumps [postcss](https://github.com/postcss/postcss) from 8.5.6 to 8.5.10. - [Release notes](https://github.com/postcss/postcss/releases) - [Changelog](https://github.com/postcss/postcss/blob/main/CHANGELOG.md) - [Commits](https://github.com/postcss/postcss/compare/8.5.6...8.5.10) --- updated-dependencies: - dependency-name: postcss dependency-version: 8.5.10 dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-04-28 07:23:50 +00:00 -
Bump postcss (#5527)
Bumps [postcss](https://github.com/postcss/postcss) from 8.5.6 to 8.5.12. - [Release notes](https://github.com/postcss/postcss/releases) - [Changelog](https://github.com/postcss/postcss/blob/main/CHANGELOG.md) - [Commits](https://github.com/postcss/postcss/compare/8.5.6...8.5.12) --- updated-dependencies: - dependency-name: postcss dependency-version: 8.5.12 dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-04-28 07:23:17 +00:00 -
Python: Update hosting agent samples + fixes (#5485)
* Update foundry hosting samples * Add file data type support * Fix file content and add more tests * Fix README * Address comments * Fix int tests * remove temp
Tao Chen ·
2026-04-28 04:24:05 +00:00 -
Python: Add
requirements.txtand.env.exampleto thea2a/sample for pip-based setup (#5510)* Add requirements.txt and .env.example to a2a sample Beginners following the a2a/ sample had no pip-based install path: the directory lacked requirements.txt and .env.example, unlike every other 04-hosting/ sample. - Add requirements.txt with editable local package paths matching the pattern used in azure_functions/ and similar hosting samples - Add .env.example documenting FOUNDRY_PROJECT_ENDPOINT, FOUNDRY_MODEL, and A2A_AGENT_HOST - Update README Quick Start to cover both pip (.venv) and uv workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Add `requirements.txt` and `.env.example` to the `a2a/` sample for pip-based setup Fixes #5395 * fix(a2a-sample): address PR review feedback for issue #5395 - Remove 'from repo root' wording from Option B uv heading in README to avoid contradicting the 'run from this directory' instruction - Fix A2A_AGENT_HOST default in .env.example from 5001 to 5000 to match function-tools flow; add clarifying comments about port usage - Add note for pip users explaining they can replace 'uv run python' with 'python' once the virtual environment is activated Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback for #5395: Python: [Samples][Python] a2a/ sample missing requirements.txt — beginners cannot install dependencies --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-27 22:22:07 +00:00 -
Python: (core): Add functional workflow API (#4238)
* Add functional workflow api * cleanup * More cleanup * address copilot feedback * Address PR feedbacK * updates * PR feedback * Address review comments on functional workflow samples - Swap 05/06 get-started samples: agent workflow first (motivates why workflows exist), simple text workflow second - Rename text_pipeline → text_workflow, poem_pipeline → poem_workflow - Add @step to agent workflow sample (05) to demonstrate caching - Switch agent samples to AzureOpenAIResponsesClient with Foundry - Remove .as_agent() from agent_integration.py to focus on the key difference between inline agent calls vs @step-cached calls - Add commented-out Agent.run example in hitl_review.py - Add clarifying comment in _functional.py that event streaming is buffered (not true per-token streaming) - Add naive_group_chat.py functional sample: round-robin group chat as a plain Python loop - Update READMEs to reflect new file names and group chat sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright type errors * Address PR review comments on functional workflow API 1. Allow request_info inside @step: Auto-inject RunContext into step functions that declare a RunContext parameter (by type or name 'ctx'), and expose get_run_context() for programmatic access. 2. Handle None responses: Log a warning when a response value is None, and document the behavior in request_info docstring. 3. Add executor_bypassed event type: Replace executor_invoked + executor_completed with a single executor_bypassed event when a step replays from cache, making cached vs live execution explicit. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add regression tests for PR review comments on functional workflow API The three review comments (request_info in @step, None response handling, executor_bypassed event type) were already addressed in 7da7db4e. This commit adds cross-cutting regression tests that exercise the interactions between these features: - HITL in step with caching: preceding step bypassed on resume - Full checkpoint lifecycle with HITL step (interrupt -> resume -> restore) - None response inside step-level request_info logs warning - WorkflowInterrupted from step does not emit executor_failed Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR #4238 review comments on functional workflow API Comment 1 (request_info in @step): Already supported. Added comment in StepWrapper.__call__ explaining why WorkflowInterrupted (BaseException) safely bypasses the except Exception handler. Comment 2 (None response): Added docstring to _get_response clarifying the (found, value) return tuple semantics and None handling. Comment 3 (bypass event type): executor_bypassed is already a dedicated event type in WorkflowEventType. Updated comment at the bypass site to make the deliberate event type choice explicit. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add experimental API warnings to functional workflow module Mark all public classes and decorators (workflow, step, RunContext, FunctionalWorkflow, StepWrapper, FunctionalWorkflowAgent) as experimental and subject to change or removal. * Address PR #4238 review comments from @eavanvalkenburg - RunContext docstring leads with purpose (opt-in handle for HITL, custom events, state) so readers importing it from the public surface understand its role before the mechanics (#2993513452). - Rename `06_first_functional_workflow.py` to `06_functional_workflow_basics.py`; the previous filename was confusing since it followed `05_functional_workflow_with_agents.py` (#2993531979). - Simplify `05_functional_workflow_with_agents.py` to call agents directly without a @step wrapper; the step-vs-no-step contrast lives in `03-workflows/functional/agent_integration.py`, keeping the get-started sample minimal (#2993525532). - Switch functional samples to `FoundryChatClient` for consistency with the rest of 01-get-started and 03-workflows (follow-up on #2876988570). - Use walrus in `hitl_review.py` final-state assertion (#2993572182). - Add expected-output block to `basic_streaming_pipeline.py` (#2993557609). - Clarify in `parallel_pipeline.py` that `@step` composes with `asyncio.gather` (#2993597282). - `naive_group_chat.py` threads `list[Message]` between turns instead of stringifying the transcript, preserving role/authorship (#2993583231). Drive-by: pre-commit hook sorts an unrelated import block in `samples/04-hosting/foundry-hosted-agents/responses/02_local_tools/main.py`. * Fix 10 functional-workflow API bugs from /ultrareview pass - bug_001: `ctx.request_info()` without an explicit `request_id` now derives a deterministic `auto::<index>` id from the call-counter, so HITL resume works correctly on the documented default path. A uuid was regenerated on every replay, making resume impossible. - bug_002: `StepWrapper.__call__` no longer deepcopies arguments on the cache-hit replay branch. The copy is only performed on the live-execution path (for the event log) and falls back to the original mapping if deepcopy fails, so steps whose args aren't deepcopyable (locks, sockets, sessions) can still resume from checkpoint. - bug_007: `_set_responses` now prunes each resolved `request_id` from `_pending_requests`, and the cache-hit branch in `request_info` does the same. Previously, answered requests were re-serialized into every subsequent checkpoint and the final checkpoint falsely claimed pending requests even after the workflow completed. - bug_008: `_compute_signature_hash` now mixes the function's `co_code` and `co_names` into the checkpoint signature, so changes to the workflow body invalidate older checkpoints even when steps are accessed via module / class attributes (which `_discover_step_names` can't see statically). `RunContext._record_observed_step` records observed step names for diagnostics. - bug_010: `FunctionalWorkflow.run()` docstring corrected — says "at least one of message/responses/checkpoint_id" and explicitly notes `responses` may be combined with `checkpoint_id` (the validator already allowed this). - bug_013: `FunctionalWorkflowAgent` now surfaces `request_info` events as `FunctionApprovalRequestContent` items (mirroring graph `WorkflowAgent`), threads `responses=` and `checkpoint_id=` through to the underlying workflow, and exposes `pending_requests`. Previously `.as_agent()` returned empty `AgentResponse` for HITL workflows — effectively unusable. - bug_014: `FunctionalWorkflow` now clears `_last_message`, `_last_step_cache`, and `_last_pending_request_ids` on clean completion. `run()` validates that `responses=` keys intersect the currently-pending request set (or raises with a clear error) instead of silently replaying against stale singleton state from a prior run. - bug_015: `FunctionalWorkflow.as_agent` signature now matches graph `Workflow.as_agent`: accepts `name`, `description`, `context_providers`, and `**kwargs`. `FunctionalWorkflowAgent` stores the overrides. - bug_017: `RunContext.set_state` raises `ValueError` for underscore- prefixed keys (the framework's `_step_cache` / `_original_message` keys would silently clobber user state on checkpoint save and user underscore-prefixed state was dropped on restore). Docstring documents the reserved prefix. - merged_bug_003: Workflow function arity is validated at decoration time. Multiple non-ctx parameters raise `ValueError` immediately (previously every arg past the first was silently dropped at call time). Passing a non-None `message` to a ctx-only workflow raises `ValueError` instead of silently discarding the message. Test coverage: +18 regression tests covering every fix. Full workflow suite now 766 passed, 1 skipped, 2 xfailed; full core suite 2338 passed. * Deslop functional.py fix commit - Remove dead instrumentation added in the prior commit that was never consumed: `RunContext._observed_step_names`, `RunContext._record_observed_step`, `FunctionalWorkflow._runtime_step_names`, and `FunctionalWorkflowAgent._extra_kwargs`. The signature hash relies on `co_code` alone, which covers the attribute-access case without the collection-scaffolding. - Trim over-explanatory comments that restated what the code does or what it no longer does. Keep only the comments that answer "why" for the non-obvious bits (deterministic id contract, defensive deepcopy, stale replay guard). - Compress the `_compute_signature_hash` and FunctionalWorkflow `__init__` block docstrings without losing the user-facing reasoning. Net -49 lines. Regression lock preserved (766 passed, 1 skipped, 2 xfailed). * Fix functional workflow review feedback --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: Copilot <copilot@github.com>
2026-04-24 09:41:20 +00:00 -
Python: update FoundryAgent for hosted agent sessions (#5447)
* fixes to FoundryAgent to connect to new hosted agents Co-authored-by: Copilot <copilot@github.com> * fix mypy Co-authored-by: Copilot <copilot@github.com> * Python: remove Foundry service session helpers Remove the public hosted-agent service session CRUD helpers from FoundryAgent and drop the related feature-stage inventory entry. Update the hosted-agent sample to create and delete service sessions directly through the preview AIProjectClient APIs, and tighten a few test harnesses surfaced by full workspace validation. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix from merge * fix hosted env detection Co-authored-by: Copilot <copilot@github.com> * reverted sample update * fix tests and code Co-authored-by: Copilot <copilot@github.com> * remove aenter * skipping some tests Co-authored-by: Copilot <copilot@github.com> --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg ·
2026-04-24 09:25:03 +00:00 -
Python: Add OpenTelemetry integration for GitHubCopilotAgent (#5142)
* Python: Add OpenTelemetry integration for GitHubCopilotAgent - Split GitHubCopilotAgent into RawGitHubCopilotAgent (core, no OTel) and GitHubCopilotAgent(AgentTelemetryLayer, RawGitHubCopilotAgent) with tracing - Add default_options property to expose model for span attributes - Export RawGitHubCopilotAgent from all public namespaces - Add github_copilot_with_observability.py sample and update README * Python: Fix OTEL_SERVICE_NAME default in GitHub Copilot README Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Python: Add unit tests for RawGitHubCopilotAgent.default_options property * Python: Address review feedback on GitHubCopilotAgent OTel integration - Add middleware param to GitHubCopilotAgent.run() overloads so per-call middleware is explicitly forwarded through AgentTelemetryLayer - Remove github_copilot_with_observability.py sample per feedback; replace with inline snippet + link to observability samples in README * Python: Address review feedback on log_level and session kwargs typing - Add middleware param to RawGitHubCopilotAgent.run() overloads for interface compatibility with AgentTelemetryLayer - Fix import in README observability snippet to use agent_framework.github * Python: Add AgentMiddlewareLayer to GitHubCopilotAgent MRO Follow FoundryAgent pattern: AgentMiddlewareLayer runs outside the telemetry span so middleware execution time is not captured in traces. Overloads removed as AgentMiddlewareLayer.run() handles dispatch via MRO. * Python: Add explicit __init__ to GitHubCopilotAgent for auto-complete and docstrings * Python: Address review feedback on middleware warning and test assertions - Add assert "timeout" not in opts to test_default_options_includes_model_for_telemetry to document the intentional asymmetry where timeout is extracted into _settings and not returned in default_options. - Replace silent del middleware with a logged warning when per-run middleware is passed to RawGitHubCopilotAgent, making it clear that the GitHub Copilot SDK handles tool execution internally and chat/function middleware cannot be injected. * Python: Use Self for __aenter__ return type in RawGitHubCopilotAgent Address review feedback: use typing.Self (3.11+) / typing_extensions.Self (3.10) for __aenter__ so subclasses like GitHubCopilotAgent get the correct return type from async context manager usage. --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Dineshsuriya D ·
2026-04-24 08:44:44 +00:00 -
Python: feat: Add Agent Framework to A2A bridge support (#2403)
* feat: Add Agent Framework to A2A bridge support - Implement A2A event adapter for converting agent messages to A2A protocol - Add A2A execution context for managing agent execution state - Implement A2A executor for running agents in A2A environment - Add comprehensive unit tests for event adapter, execution context, and executor - Update agent framework core A2A module exports and type stubs - Integrate thread management utilities for async execution - Add getting started sample for A2A agent framework integration - Update dependencies in uv.lock This integration enables agent framework agents to communicate and execute within the A2A (Agent to Agent) infrastructure. * fix: Update references from agent_thread_storage to _agent_thread_storage in A2A executor tests * Refactor A2A agent framework and improve code structure - Reordered imports in various files for consistency and clarity. - Updated `__all__` definitions to maintain a consistent order across modules. - Simplified method signatures by removing unnecessary line breaks. - Enhanced readability by adjusting formatting in several sections. - Removed redundant comments and example scenarios in the execution context. - Improved handling of agent messages in the event adapter. - Added type hints for better clarity and type checking. - Cleaned up test cases for better organization and readability. * fix: Lint fix new line added * test: Add unit tests for AgentThreadStorage and InMemoryAgentThreadStorage * refactor: Update type hints to use new syntax for Union and List * fix: Validate RequestContext for context_id and message before execution * Refactor tests and remove A2aExecutionContext references - Deleted the test file for A2aExecutionContext as it is no longer needed. - Updated A2aExecutor tests to remove dependencies on A2aExecutionContext and adjusted method calls accordingly. - Modified event adapter tests to use ChatMessage instead of AgentRunResponseUpdate. - Removed A2aExecutionContext from imports in agent_framework.a2a module and updated type hints accordingly. * Refactor A2AExecutor tests and remove event adapter - Updated test cases to use A2AExecutor instead of A2aExecutor for consistency. - Removed mock_event_adapter fixture and related tests as A2aEventAdapter is deprecated. - Consolidated event handling tests into TestA2AExecutorEventAdapter. - Adjusted imports in various files to reflect the removal of deprecated components. - Ensured all references to A2aExecutor are updated to A2AExecutor across the codebase. * refactor: Remove AgentThreadStorage and InMemoryAgentThreadStorage classes from threads and tests * feat: A2AExecutor to have its own override able save and get threads methods for persistent storage. * fix: linter bugs * removed unnecessary changes form core package * new line added * Refactor A2AExecutor tests and update imports - Consolidated mock agent fixtures in test_a2a_executor.py to simplify agent mocking. - Removed redundant tests related to thread storage and agent types, focusing on A2AExecutor's core functionality. - Updated test assertions to reflect changes in message handling with new Message and Content classes. - Enhanced integration tests to ensure compatibility with the new agent framework structure. - Added A2AExecutor to the module exports in __init__.py and __init__.pyi for better accessibility. * Update A2A documentation: enhance usage examples for A2AAgent and A2AExecutor * Updated uv lock * Fix metadata assertion in TestA2AExecutorHandleEvents and reorder load_dotenv call in agent_framework_to_a2a.py * Update agent card configuration: add default input and output modes, and fix agent creation method * Fix assertion for metadata in TestA2AExecutorHandleEvents * Fix formatting issues in TestA2AExecutorExecute and TestA2AExecutorIntegration * Enhance A2AExecutor documentation with examples and clarify agent execution process * Revert uv lock to main * Refactor A2AExecutor: Improve formatting and streamline constructor parameters * Apply suggestions from code review Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Refactor A2AExecutor to use SupportsAgentRun and enhance logging; update agent framework sample for flight and hotel booking capabilities * Enhance A2AExecutor with streaming support and custom run arguments; update tests for initialization and execution scenarios * Enhance A2AExecutor event handling with streamed artifact tracking; update tests for new behavior * Refactor A2AExecutor to enforce type hints for stream and run_kwargs attributes * Refactor A2AExecutor and tests: replace AsyncMock with MagicMock for response stream handling; clean up imports in agent_framework_to_a2a.py * refactor: streamline imports and improve code readability across multiple files * feat: enhance A2AExecutor cancel method with context validation and fixed review comments * feat: implement get_uri_data utility function for extracting base64 data from data URIs and update references * fix: update import path for get_uri_data utility function in A2AExecutor and A2AAgent * fix: correct error message handling in A2AExecutor and update test assertions --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
Shubham Kumar ·
2026-04-24 08:35:40 +00:00 -
Python: fix(foundry): reconcile toolbox hosted-tool payloads with Responses API (#5414)
* fix(foundry): reconcile toolbox hosted-tool payloads with Responses API * docs(foundry): update create_sample_toolbox docstring to reflect all tools created
2026-04-22 17:43:26 +00:00 -
Python: Fix OpenAI Responses streaming to propagate
created_atfrom finalresponse.completedevent (#5382)* Fix streaming response losing created_at from response.completed event (#5347) The streaming path in _parse_chunk_from_openai did not extract created_at from the response.completed event, unlike the non-streaming path in _parse_responses_response. This caused durabletask persistence warnings when created_at was None. Extract created_at in the response.completed case and pass it to the returned ChatResponseUpdate. Also fix pre-existing pyright errors for optional orjson import in sample files. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix orjson import suppression to use pyright instead of mypy (#5347) Replace `# type: ignore[import-not-found]` with `# pyright: ignore[reportMissingImports]` on optional orjson imports in conversation sample files, matching the repo's Pyright strict configuration. 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>
2026-04-22 06:19:31 +00:00 -
Python: feat(evals): add ground_truth support for similarity evaluator (#5234)
* feat(evals): add ground_truth support for similarity evaluator - Include expected_output as ground_truth in Foundry JSONL dataset rows - Add ground_truth to item schema and data mapping for similarity evaluator - Add expected_output parameter to evaluate_workflow - Add similarity Pattern 3 to evaluate_agent and evaluate_workflow samples - Add tests for ground_truth in dataset, schema, and evaluate_workflow * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * fix: wrap long line to satisfy ruff E501 --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
chetantoshniwal ·
2026-04-21 19:40:53 +00:00 -
Python: Add second approval-required tool (set_stop_loss) to concurrent_builder_tool_approval sample (#4875)
* Add set_stop_loss tool to concurrent_builder_tool_approval sample Add a second approval-gated tool (set_stop_loss) to the concurrent workflow tool approval sample to demonstrate handling approval requests for different tools in the same concurrent workflow. Changes: - Add set_stop_loss(symbol, stop_price) with approval_mode='always_require' - Include new tool in both agents' tool lists - Update agent instructions and prompt to encourage stop-loss usage - Update docstring to reflect two approval-gated tools - Update sample output to show mixed approval requests Fixes #4874 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Print tool name and arguments in concurrent sample's process_event_stream (#4874) Align process_event_stream in concurrent_builder_tool_approval.py to print the tool name and arguments when collecting approval requests, matching the sample output comment and the sequential_builder_tool_approval.py pattern. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add None-guard for function_call access in tool approval sample (#4874) Add explicit None-checks before accessing function_call.name and function_call.arguments in concurrent_builder_tool_approval.py. The function_call field is typed Content | None, so direct attribute access without a guard could raise AttributeError and required type: ignore comments. The None-guard is consistent with the pattern used in _agent_run.py and removes the suppression comments. Also add a regression test verifying that function_call defaults to None and that the None-guard pattern is safe. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply same function_call None-guard to sibling tool-approval samples (#4874) Apply the same fix to sequential_builder_tool_approval.py and group_chat_builder_tool_approval.py, which had the identical pattern of accessing function_call.name/arguments without a None-guard. 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>
2026-04-21 07:08:50 +00:00 -
Python: Foundry hosted agent V2 (#5379)
* Python: Wrapper + Samples 1st (#5177) * Experiment * Update dependency and add non streaming * Add more samples * Rename samples * Add invocations * Comments 1 * Comments 2 * Comments 3 * Improve README * Add local shell sample * WIP: Add eval and memory samples * Update user agent prefix * Update user agent prefix doc * Update dependency (#5215) * Add tests and more content types (#5235) * Add tests * fix tests and sample * Fix formatting * Remove function approval contents * Python: Refine samples and upgrade packages (#5261) * Refine samples and upgrade pacakges * Upgrade to a new package that fixes a bug * Update model env var * Move samples (#5281) * Python: Upgrade agentserver packages (#5284) * Upgrade agentserver packages * Fix new types * Python: Add special handling for workflows (#5298) * Add special handling for workflows * Address comments * Improve samples (#5372) * Python: Add more types (#5378) * Add more type supports * Upgrade packages * Remove TODOs in README * Fix README * Comments and mypy * User agent scoped * Fix README * Fix pre commit * Fix pre commit 2 * Fix pre commit 3 * Fix pre commit 4 * Fix pre commit 5 * Fix pre commit 6 * Add azure-monitor-opentelemetry to dev deps Fixes Samples & Markdown CI failure. The PR's new transitive dep on azure-monitor-opentelemetry-exporter (via azure-ai-agentserver-core) makes pyright resolve the azure.monitor.opentelemetry namespace, flipping the check_md_code_blocks diagnostic for `configure_azure_monitor` from reportMissingImports (filtered) to reportAttributeAccessIssue (not filtered). Installing the umbrella azure-monitor-opentelemetry package in dev makes pyright resolve the symbol correctly, matching the install guidance the observability README already gives users. --------- Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
2026-04-21 05:21:27 +00:00 -
Python: Add support for Foundry Toolboxes (#5346)
* 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>
2026-04-20 23:56:01 +00:00 -
Python: Add Hyperlight CodeAct package and docs (#5185)
* initial work on code_mode * updated samples * updates to codeact * udpated codeact * Draft CodeAct ADR and sample updates Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * initial implementation and adr and feature * Python: Limit Hyperlight wasm backend to Python <3.14 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix CI for Hyperlight CodeAct PR Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Run Hyperlight integration when available Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Address Hyperlight review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Simplify Hyperlight file mount inputs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Accept Path host paths in Hyperlight mounts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix Hyperlight mount typing for CI Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * temp run integration test * Python: Strengthen Hyperlight real sandbox tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * added additional tests * Python: Simplify Hyperlight CodeAct API Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * set tests as non-integration * Retry Hyperlight allowed-domain registration Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Gate Hyperlight integration tests by runtime support Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Hyperlight skip test on Python 3.14 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Delay Hyperlight runtime probe until test execution Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Relax Hyperlight Windows integration stdout assertion Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Scan Hyperlight output directory for artifacts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Retry Hyperlight output artifact collection Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Harden Hyperlight integration output assertions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Retry Hyperlight read-back check in integration test Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify Hyperlight integration write assertion Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Avoid pathlib in Hyperlight integration sandbox Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use socket network check in Hyperlight sandbox Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Replace blocked Azure AI Search blog link Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Clarify Hyperlight guest stdlib limits Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use _socket in Hyperlight integration sandbox Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Handle Hyperlight mounted file paths Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Broaden Hyperlight sandbox path fallbacks Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Search Hyperlight guest mounts recursively Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split Hyperlight mount coverage Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split Hyperlight live network tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Hyperlight file-write test on Windows Enable the sandbox filesystem by providing a workspace_root so /output is mounted. Remove os.path.exists assertion (unsupported in WASM guest) and fix Content data assertion to use .uri. Skip the network integration test on Windows where the WASM sandbox lacks the encodings.idna codec. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review: ADR intro, manual wiring sample, doc clarifications - Add CodeAct introduction section to ADR for unfamiliar readers - Clarify 'less runtime efficient' con with specific overhead description - Add note in Python impl doc clarifying ADR vs impl doc split - Explain why before_run hooks must be per-run (CRUD, concurrency, approval) - Rename code_interpreter variable to codeact in E2E sample - Add manual static wiring sample (codeact_manual_wiring.py) - Add 'when to use which pattern' guidance to samples README Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR #5185 review comments and add .NET CodeAct design doc - Fix async callback: _make_sandbox_callback returns sync wrapper with thread + asyncio.run() bridge (was broken with real Wasm FFI) - Fix stale output: clear output_dir before each sandbox.run() call - Fix blocking event loop: _run_code now async with asyncio.to_thread() - Revert _agents.py options['tools'] injection (unnecessary; provider uses context.extend_tools()) - Revert SessionContext.options docstring back to read-only - Add real-sandbox test fixtures (shared/restored/fresh) - Add 8 new real-sandbox tests for callback round-trip, stale output, event loop non-blocking, basic execution, stdout/stderr, errors, snapshot/restore, and tool registration - Add comprehensive .NET HyperlightCodeActProvider design document Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update hyperlight README with code snippets and remove Public API section Replace bare export list with Quick Start code examples covering the context provider, standalone tool, manual static wiring, and file mounts / network access patterns. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-17 00:49:44 +00:00 -
Python: add experimental file history provider (#5248)
* add experimental file history provider * Improve file history provider writes Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * typo * cleanup * cleanup * fix in readme * added security messages * Refine file history provider locking Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * added additional sample --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-15 22:23:37 +00:00 -
Python: Migrate GitHub Copilot package to SDK 0.2.x (#5107)
* 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>
2026-04-10 01:07:14 +00:00 -
Bump vite (#5132)
Bumps [vite](https://github.com/vitejs/vite/tree/HEAD/packages/vite) from 7.3.1 to 7.3.2. - [Release notes](https://github.com/vitejs/vite/releases) - [Changelog](https://github.com/vitejs/vite/blob/v7.3.2/packages/vite/CHANGELOG.md) - [Commits](https://github.com/vitejs/vite/commits/v7.3.2/packages/vite) --- updated-dependencies: - dependency-name: vite dependency-version: 7.3.2 dependency-type: direct:development ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-04-10 00:11:48 +00:00 -
Python: Stop emitting duplicate reasoning content from OpenAI
response.reasoning_text.doneandresponse.reasoning_summary_text.doneevents (#5162)* 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>
2026-04-09 22:44:59 +00:00 -
Python: Add Cosmos DB NoSQL Checkpoint Storage for Python Workflows (#4916)
* Add CosmosCheckpointStorage for Python workflow checkpointing Add native Cosmos DB NoSQL support for workflow checkpoint storage in the Python agent-framework-azure-cosmos package, achieving parity with the existing .NET CosmosCheckpointStore. New files: - _checkpoint_storage.py: CosmosCheckpointStorage implementing the CheckpointStorage protocol with 6 methods (save, load, list_checkpoints, delete, get_latest, list_checkpoint_ids) - test_cosmos_checkpoint_storage.py: Unit and integration tests - workflow_checkpointing.py: Sample demonstrating Cosmos DB-backed workflow checkpoint/resume Auth support: - Managed identity / RBAC via Azure credential objects (DefaultAzureCredential, ManagedIdentityCredential, etc.) - Key-based auth via account key string or AZURE_COSMOS_KEY env var - Pre-created CosmosClient or ContainerProxy Key design decisions: - Partition key: /workflow_name for efficient per-workflow queries - Serialization: Reuses encode/decode_checkpoint_value for full Python object fidelity (hybrid JSON + pickle approach) - Container auto-creation via create_container_if_not_exists Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Adding cosmos checkpointer * Resolving comments * Fixing builds * Adding sample for history provider and checkpoint storage * Resolving comments * fixing builds * Resolving comments --------- Co-authored-by: Aayush Kataria <aayushkataria@Aayushs-MacBook-Pro-2.local> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Aayush Kataria ·
2026-04-09 05:01:41 +00:00 -
2026-04-08 04:08:24 +00:00 -
Python: Adds sample documentation for two separate Neo4j context providers for retrieval and memory (#4010)
* Python: Adds sample documentation for two separate Neo4j context providers for retrieval and memory * adding pypi links * adding dotnot examples * adding dotnot examples * merge upstream samples * fixing docs * fix relative paths --------- Co-authored-by: Ben Lackey <ben.lackey@neo4j.com>
Ryan Knight ·
2026-04-07 09:57:35 +00:00 -
Python: [BREAKING] update to v1.0.0 (#5062)
* updates to final deprecated pieces and versions * fix mypy * fix readme links
2026-04-02 15:26:30 +00:00 -
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 -
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> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: chetantoshniwal <255221507+chetantoshniwal@users.noreply.github.com>
2026-04-02 09:43:59 +00:00 -
[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 -
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> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: sphenry <6749825+sphenry@users.noreply.github.com> Co-authored-by: Shawn Henry <shahen@microsoft.com>
Copilot ·
2026-04-02 09:34:33 +00:00 -
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 -
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>
Giles Odigwe ·
2026-04-01 21:35:16 +00:00 -
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 -
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 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-01 19:00:18 +00:00 -
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 Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-04-01 17:12:03 +00:00 -
Python: [BREAKING] update context provider APIs, middleware, and per-service-call history persistence (#4992)
* Rename provider base APIs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Allow provider-added chat and function middleware Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simulate service-stored history per model call Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix typing regressions in CI Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix response ID suppression review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Rename per-service-call history persistence APIs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address context persistence review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Stabilize markdown sample docs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Persist service continuation state per call Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-01 16:13:11 +00:00 -
2026-04-01 13:47:20 +00:00 -
Python: fixed middleware samples (#5026)
* fixed samples * small update to explanation * add snippet fix on root readme
2026-04-01 13:40:27 +00:00 -
Python: updated azure ai inference sample (#5028)
* updated azure ai inference sample * openai multimodel fix * update language
2026-04-01 13:35:56 +00:00 -
Add Neo4j GraphRAG samples (#4994)
* Add Neo4j GraphRAG samples * Fix sample CI issues * Address sample review feedback * Move Neo4j Python sample to end-to-end * Make Neo4j GraphRAG sample self-contained * Remove unused central package versions
Christian Glessner ·
2026-04-01 10:23:04 +00:00 -
2026-04-01 09:59:52 +00:00 -
Python: Fix migration samples (#5015)
* Fix migration samples * Fix migration samples 2 * Fix formatting * Comments
2026-04-01 06:32:30 +00:00 -
Python: Fix
agent_with_hosted_mcpsample to use Foundry client for MCP tools (#4867)* 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>
2026-03-31 22:04:54 +00:00 -
Python: Remove unsupported memory scoping params from mem0/redis samples and docs (#4367)
* 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>
L. Elaine Dazzio ·
2026-03-31 21:57:23 +00:00 -
Python: [BREAKING] Remove deprecated Python OpenAI/Azure AI surfaces (#4990)
* [BREAKING] Remove deprecated Python OpenAI/Azure AI surfaces Also clean up follow-on docs, environment guidance, package metadata, and lab test stability. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix deleted semantic-kernel sample links Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * improve foundry language * Fix A2A Foundry sample regression Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-31 20:36:21 +00:00 -
Python: Add Python A2A agent-as-function-tools sample (#4889)
* 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>
2026-03-31 20:00:40 +00:00 -
Python: Add Python feature lifecycle decorators for released APIs (#4975)
* Add Python feature lifecycle decorators Introduce reusable experimental and release-candidate decorators for released packages, migrate the Skills APIs to the new staged metadata and warning system, and add lifecycle guidance plus samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Python CI follow-ups Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Preserve protocol runtime checks Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-31 19:40:08 +00:00 -
Python: Add header_provider to Streamable HTTP MCP servers (#4849)
* 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>
2026-03-31 17:23:49 +00:00 -
Python: Fix sample bugs: incorrect API params, wrong client types, and invalid options (#4983)
* 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>
2026-03-31 16:58:51 +00:00 -
Python: Foundry Evals integration for Python (#4750)
* Foundry Evals integration for Python Merged and refactored eval module per Eduard's PR review: - Merge _eval.py + _local_eval.py into single _evaluation.py - Convert EvalItem from dataclass to regular class - Rename to_dict() to to_eval_data() - Convert _AgentEvalData to TypedDict - Simplify check system: unified async pattern with isawaitable - Parallelize checks and evaluators with asyncio.gather - Add all/any mode to tool_called_check - Fix bool(passed) truthy bug in _coerce_result - Remove deprecated function_evaluator/async_function_evaluator aliases - Remove _MinimalAgent, tighten evaluate_agent signature - Set self.name in __init__ (LocalEvaluator, FoundryEvals) - Limit FoundryEvals to AsyncOpenAI only - Type project_client as AIProjectClient - Remove NotImplementedError continuous eval code - Add evaluation samples in 02-agents/ and 03-workflows/ - Update all imports and tests (167 passing) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: resolve mypy redundant-cast errors while keeping pyright happy Use cast(list[Any], x) with type: ignore[redundant-cast] comments to satisfy both mypy (which considers casting Any redundant) and pyright strict mode (which needs explicit casts to narrow Unknown types). Also fix evaluator decorator check_name type annotation to be explicitly str, resolving mypy str|Any|None mismatch. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: CI failures — pyupgrade, evaluator overloads, sample API, reset attr - Apply pyupgrade: Sequence from collections.abc, remove forward-ref quotes - Add @overload signatures to evaluator() for proper @evaluator usage - Fix evaluate_workflow sample to use WorkflowBuilder(start_executor=) API - Fix _workflow.py executor.reset() to use getattr pattern for pyright - Remove unused EvalResults forward-ref string in default_factory lambda Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: skip gRPC-dependent observability test The test_configure_otel_providers_with_env_file_and_vs_code_port test triggers gRPC OTLP exporter creation, but the grpc dependency is optional and not installed by default. Add skipif decorator matching the pattern used by all other gRPC exporter tests in the same file. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: add nosec B101 for bandit assert check Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * style: align eval samples with repo conventions - Move module docstrings before imports (after copyright header) - Add -> None return type to all main() and helper functions - Fix line-too-long in multiturn sample conversation data - Add Workflow import for typed return in all_patterns_sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback: async fixes, sample bugs, deprecation warnings - Simplify _ensure_async_result to direct await (async-only clients) - Replace get_event_loop() with get_running_loop() - Narrow _fetch_output_items exception handling to specific types - Add warning log when _filter_tool_evaluators falls back to defaults - Add DeprecationWarning to options alias in Agent.__init__ - Add DeprecationWarning to evaluate_response() - Rename raw key to _raw_arguments in convert_message fallback - Fix evaluate_agent_sample.py: replace evals.select() with FoundryEvals() - Fix evaluate_multiturn_sample.py: use Message/Content/FunctionTool types - Fix evaluate_workflow_sample.py: replace evals.select() with FoundryEvals() - Update test mocks to use AsyncMock for awaited API calls Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add test coverage for review feedback items - Add num_repetitions=2 positive test verifying 2×items and 4 agent calls - Add _poll_eval_run tests: timeout, failed, and canceled paths - Add evaluate_traces tests: validation error, response_ids path, trace_ids path - Add evaluate_foundry_target happy-path test with target/query verification Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix ruff ISC004 lint error and apply formatter - Wrap implicit string concatenation in parens in evaluate_multiturn_sample.py - Apply ruff formatter to 6 other files with minor formatting drift Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove core type changes (extracted to fix/workflow-stale-session branch) Reverts changes to _agents.py, _agent_executor.py, and _workflow.py back to upstream/main. These fixes are now in a separate PR. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review round 2: bugs, tests, and architecture Code fixes: - Fix _normalize_queries inverted condition (single query now replicates to match expected_count) - Fix substring match bug: 'end' in 'backend' matched; use exact set lookup for executor ID filtering - Fix used_available_tools sample: tool_definitions→tools param, use FunctionTool attribute access instead of dict .get() - Add None-check in _resolve_openai_client for misconfigured project - Add Returns section to evaluate_workflow docstring - Cache inspect.signature in @evaluator wrapper (avoid per-item reflection) Architecture: - Extract _evaluate_via_responses as module-level helper; evaluate_traces now calls it directly instead of creating a FoundryEvals instance - Move Foundry-specific typed-content conversion out of core to_eval_data; core now returns plain role/content dicts, FoundryEvals applies AgentEvalConverter in _evaluate_via_dataset Tests: - evaluate_response() deprecation warning emission and delegation - num_repetitions > 1 with expected_output and expected_tool_calls - Mock output_items.list in test_evaluate_calls_evals_api - Update to_eval_data assertions for plain-dict format - Unknown param error now raised at @evaluator decoration time Skipped (separate PR): executor reset loop, xfail removal, options alias Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix CI: revert test_full_conversation, fix pyright errors - Revert test_full_conversation.py to upstream/main (the session preservation test was incorrectly changed to assert clearing) - Fix pyright reportUnnecessaryComparison on get_openai_client() None check by adding ignore comment - Fix pyright reportPrivateUsage: add public EvalItem.split_messages() method and use it in FoundryEvals._evaluate_via_dataset instead of accessing private _split_conversation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review round 3: reliability, test gaps, cleanup - Add try/except guard for non-numeric score in _coerce_result - Add poll_interval minimum bound (0.1s) to prevent tight loops - Add runtime async client check in _resolve_openai_client - Remove _ensure_async_result wrapper (10 call sites → direct await) - Better error message when queries provided without agent - Import-time asserts for evaluator set consistency - Remove 28 redundant @pytest.mark.asyncio decorators - Add doc note about _raw_arguments sensitive data - Tests: tool_called_check mode=any, _normalize_queries branches, _extract_result_counts paths, _extract_per_evaluator, bare check via evaluate_agent, output_items assertion, modulo wrapping, async client check, queries-without-agent error Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix CI: ruff S101 assert, pyright and mypy arg-type errors - Replace module-level assert with if/raise for evaluator set consistency checks (ruff S101 disallows bare assert) - Add type: ignore[arg-type] and pyright: ignore[reportArgumentType] on OpenAI SDK evals API calls that pass dicts where typed params are expected (SDK accepts dicts at runtime) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review round 4: bugs, reliability, test fixes - Fix all_passed ignoring parent result_counts when sub_results present - Fix _extract_tool_calls: parse string arguments via json.loads before falling back to None (real LLM responses use string arguments) - Sanitize _raw_arguments to '[unparseable]' to avoid leaking sensitive tool-call data to external evaluation services - Add NOTE comment on to_eval_data message serialization dropping non-text content (tool calls, results) - Eliminate double conversation split in _evaluate_via_dataset: build JSONL dicts directly from split_messages + AgentEvalConverter - Raise poll_interval floor from 0.1s to 1.0s to prevent rate-limit exhaustion - Fix MagicMock(name=...) bug in test: sets display name not .name attr - Fix mock_output_item.sample: use MagicMock object instead of dict so _fetch_output_items exercises error/usage/input/output extraction Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review round 5: reliability, docs, test coverage Code fixes: - Move import-time RuntimeError checks to unit tests (avoids breaking imports for all users on developer set-drift mistake) - _filter_tool_evaluators now raises ValueError when all evaluators require tools but no items have tools (was silently substituting) - Add poll_interval upper bound (60s) to prevent single-iteration sleep - Log exc_info=True in _fetch_output_items for debugging API changes - Fix evaluate() docstring: remove claim about Responses API optimization - Validate target dict has 'type' key in evaluate_foundry_target - Document to_eval_data() limitation: non-text content is omitted Tests: - TestEvaluatorSetConsistency: verify _AGENT/_TOOL subsets of _BUILTIN - TestEvaluateTracesAgentId: agent_id-only path with lookback_hours - TestFilterToolEvaluatorsRaises: ValueError on all-tool no-items - TestEvaluateFoundryTargetValidation: target without 'type' key - Assert items==[] on failed/canceled poll results - Mock output_items.list in response_ids test for full flow - TestAllPassedSubResults: result_counts=None + sub_results delegation and parent failures override sub_results - TestBuildOverallItemEmpty: empty workflow outputs returns None Skipped r5-07 (_raw_arguments length hint): marginal debugging value, could leak content size information. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix error message: evaluate_responses() → evaluate_traces(response_ids=...) The referenced function doesn't exist; the correct API is evaluate_traces(response_ids=...) from the azure-ai package. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove dead to_eval_data() method, fix docstring claims - Remove to_eval_data() from EvalItem (dead code after r4-05 JSONL refactor) - Migrate 15 tests from to_eval_data() to split_messages() - Update sample to use split_messages() + Message properties - Remove unimplemented Responses API optimization docstring claim - Update split_messages() docstring to not reference removed method Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Reduce default eval timeout from 600s to 180s (3 minutes) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove dead _evaluate_via_responses method from FoundryEvals The method was never called — evaluate() uses _evaluate_via_dataset, and evaluate_traces() calls _evaluate_via_responses_impl directly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Revert unrelated formatting changes to get-started samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright: remove phantom FoundryMemoryProvider import, apply ruff format - Remove import of non-existent _foundry_memory_provider module (incorrectly kept during rebase conflict resolution) - Apply ruff formatter to test_local_eval.py and get-started samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix eval samples: use FoundryChatClient for Agent() The upstream provider-leading client refactor (#4818) made client= a required parameter on Agent(). Update the three getting-started eval samples to use FoundryChatClient with FOUNDRY_PROJECT_ENDPOINT, matching the standard pattern from 01-get-started samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify self-reflection sample using FoundryEvals Replace ~80 lines of manual OpenAI evals API code (create_eval, run_eval, manual polling, raw JSONL params) with FoundryEvals: - evaluate_groundedness() uses FoundryEvals.evaluate() with EvalItem - Remove create_openai_client(), create_eval(), run_eval() functions - Remove openai SDK type imports (DataSourceConfigCustom, etc.) - run_self_reflection_batch creates FoundryEvals instance once, reuses it for all iterations across all prompts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update eval samples to FoundryChatClient and FOUNDRY_PROJECT_ENDPOINT - Migrate all foundry_evals samples from AzureOpenAIResponsesClient to FoundryChatClient - Update env var from AZURE_AI_PROJECT_ENDPOINT to FOUNDRY_PROJECT_ENDPOINT - Use AzureCliCredential consistently across all samples - Fix README.md: correct function names (evaluate_dataset -> FoundryEvals.evaluate, evaluate_responses -> evaluate_traces) - Update self_reflection .env.example and README.md Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix lint errors in eval samples (E501, ASYNC240, formatting) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove evaluate_all_patterns_sample.py (redundant with focused samples) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix async credential mismatch: use azure.identity.aio for async AIProjectClient AIProjectClient from azure.ai.projects.aio requires an async credential. Switch all foundry_evals samples from azure.identity.AzureCliCredential to azure.identity.aio.AzureCliCredential. Also pass project_client to FoundryChatClient instead of duplicating endpoint+credential. Close credential in self_reflection sample to avoid resource leak. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Revert test_observability.py to upstream/main (not our test) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address moonbox3 review: sphinx docstrings, pagination, isinstance check - Convert all Example:: / Typical usage:: code blocks to .. code-block:: python format matching codebase convention (both _evaluation.py and _foundry_evals.py) - Add async pagination in _fetch_output_items via async for (handles large result sets) - Replace hasattr(__aenter__) with isinstance(client, AsyncOpenAI) in _resolve_openai_client - Move AsyncOpenAI import from TYPE_CHECKING to runtime (needed for isinstance) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix test failures and address remaining moonbox3 review comments - Fix tests: use MagicMock(spec=AsyncOpenAI) for project_client mocks (isinstance check now requires proper type, not duck-typing) - Fix tests: replace mock_page.__iter__ with _AsyncPage helper for async for - Fix evaluate_response: auto-extract queries from response messages when query is not provided (previously always raised ValueError) - Add debug logging when skipping internal _-prefixed executor IDs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address Tao's PR review comments on Foundry Evals - T1: Add comment explaining builtin.* pass-through in _resolve_evaluator - T2: Add comment referencing OpenAI evals API for testing_criteria dict - T3: Document Mustache-style {{item.*}} template placeholders - T4: Document poll loop 60s sleep upper bound rationale - T5: Narrow run type to RunRetrieveResponse, use typed field access instead of vars()/getattr dance in _extract_result_counts and _extract_per_evaluator; use run.error and run.report_url directly - T6: Clarify openai_client docstring re: Azure Foundry endpoint - T8: Remove misleading empty expected_tool_calls from sample - Update tests to match real SDK PerTestingCriteriaResult shape Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove unnecessary Any union from run type annotations RunRetrieveResponse is the correct type — no backward compat needed for a brand new feature. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Accept FoundryChatClient instead of raw AsyncOpenAI FoundryEvals now takes client: FoundryChatClient as its primary parameter instead of openai_client: AsyncOpenAI. The builtin.* evaluators require a Foundry endpoint, so the type should reflect that. - FoundryEvals.__init__: client: FoundryChatClient replaces openai_client - evaluate_traces / evaluate_foundry_target: same change - _resolve_openai_client: extracts .client from FoundryChatClient - project_client fallback retained for standalone functions - All samples updated to construct FoundryChatClient and pass as client= - Tests updated (openai_client= → client=) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove implicit 60s upper bound on poll interval If a developer sets a higher poll_interval, respect it. Only clamp to remaining time and enforce a 1s minimum for rate-limit protection. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove 1s floor on poll interval — let the developer control it Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update python/samples/05-end-to-end/evaluation/foundry_evals/.env.example Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Update python/samples/02-agents/evaluation/evaluate_agent.py Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Address eavanvalkenburg review (round 2) on Python eval PR - Rename model_deployment -> model across FoundryEvals and all samples - Make model param optional, resolves from client.model - Convert EvalResults from dataclass to regular class - Remove deprecated evaluate_response() function - Refactor splitters: BUILT_IN_SPLITTERS dict + standalone functions - Change per_turn_items from classmethod to staticmethod - Simplify EvalCheck type alias to use Awaitable[CheckResult] - Remove errored property from EvalResults - Remove default value from Evaluator protocol eval_name - Rename assert_passed -> raise_for_status, add EvalNotPassedError - Type agent param as SupportsAgentRun | None - Fix Arguments docstring - Update __init__.py exports - Update all tests and samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Move FoundryEvals to foundry package, split tool eval sample - Move _foundry_evals.py from azure-ai to foundry package - Move test_foundry_evals.py to foundry/tests/ - Update lazy re-exports in agent_framework.foundry namespace - Update .pyi type stubs - All samples now import from agent_framework.foundry - Split tool-call evaluation into evaluate_tool_calls_sample.py - Fix all_passed to check errored count from result_counts - Fix raise_for_status to include errored item details Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Auto-create FoundryChatClient from env vars when no client provided FoundryEvals() now works zero-config when FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL environment variables are set. Auto-creates a FoundryChatClient under the hood, matching the established env var pattern. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright errors: remove dead _normalize_queries, suppress EvalAPIError check - Remove unused _normalize_queries function and its tests - Add pyright ignore for EvalAPIError None check (defensive guard) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Support multimodal image content in eval pipeline Add image (data/uri) content handling to AgentEvalConverter.convert_message() so that Content.from_data() and Content.from_uri() image payloads are preserved as input_image parts in the Foundry evaluator format. - Handle Content type='data' and type='uri' → emit input_image parts - Add 6 unit tests for image content through convert_message/convert_messages - Add integration test verifying images flow through EvalItem → JSONL path - Add evaluate_multimodal.py sample demonstrating local image eval Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address remaining review comments - Fix project_client docstring to say async-only (not sync/async) - Add builtin evaluator name validation warning in _resolve_evaluator - Replace getattr with typed attribute access in _poll_eval_run, _extract_result_counts, _extract_per_evaluator, _fetch_output_items - Remove cast import from _foundry_evals (no longer needed) - Tighten _coerce_result: honour explicit 'passed' when both 'score' and 'passed' are present; remove performative cast - Fix self_reflection sample: add env file existence check - Fix traces sample: correct Pattern 2 section label - Update all Foundry eval samples to FoundryChatClient + FOUNDRY_MODEL (remove AIProjectClient + AZURE_AI_MODEL_DEPLOYMENT_NAME pattern) - Add eval_name and OpenAI client docs to FoundryEvals docstring - Update test mocks to match typed SDK objects (_MockResultCounts) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix ruff lint errors (E501, SIM108, SIM102) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright errors: type-narrow dict to dict[str, Any], add ignore comments Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Replace ConversationSplitter type alias with Protocol ConversationSplitter is now a runtime-checkable Protocol with a named 'conversation' parameter, making the expected signature self-documenting. ConversationSplit enum members gain a __call__ method so they satisfy the protocol directly -- ConversationSplit.LAST_TURN(conversation) works. This simplifies _split_conversation from an isinstance dispatch to a single split(conversation) call. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Standardize on AZURE_AI_MODEL_DEPLOYMENT_NAME and fix Unicode in samples - Replace FOUNDRY_MODEL with AZURE_AI_MODEL_DEPLOYMENT_NAME in all eval samples to match repo convention - Replace Unicode symbols with ASCII equivalents in all eval sample print statements to avoid cp1252 encoding errors on Windows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update python/samples/03-workflows/evaluation/evaluate_workflow.py Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Rename ADR 0020 to 0023 (foundry evals integration) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: alliscode <bentho@microsoft.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
Ben Thomas ·
2026-03-31 15:53:06 +00:00