* Python: bump package versions for 1.2.1 release
PATCH bump (1.2.0 -> 1.2.1) for the released cohort. The release window
covers two PRs, no new public APIs:
- agent-framework-core: prevent inner_exception from being lost in
AgentFrameworkException (#5167)
- samples: add requirements.txt and .env.example to the a2a/ hosting
sample for pip-based setup (#5510)
Per lockstep convention, all 21 beta packages stamp 1.0.0b260428 and all
3 alpha packages stamp 1.0.0a260428, regardless of per-package code
churn. Every non-core package floor on agent-framework-core is raised to
>=1.2.1 to keep cohort signaling consistent. Date stamp reflects the
local (Asia) cut date 2026-04-28.
* Python: silence pyright unknown-type warnings in hosted-env detection
`azure.ai.agentserver.core` is probed at runtime via `importlib.util.find_spec`
and is not a declared dependency. The existing `# pyright: ignore[reportMissingImports]`
suppresses the missing-import warning, but at `lowest-direct` resolution pyright
still reports the imported symbol (`AgentConfig`) and its members (`from_env`,
`is_hosted`) as unknown, breaking `validate-dependency-bounds-test` for
`packages/core`.
Extend the existing ignore to cover `reportUnknownVariableType` on the import
and `reportUnknownMemberType` on the call site so the bounds check returns to
green. Behavior is unchanged.
Latent since #5455 (shipped in 1.2.0).
* Python: raise agent-framework-gemini lower bound to google-genai>=1.65.0
The Gemini chat client references several `google.genai.types` symbols
(`FileSearch`, `ThinkingLevel`, `SearchTypes`, `McpServer`,
`StreamableHttpTransport`, plus call-site keyword args `mcp_servers` and
`search_types`) that are not present at the lower bound of `google-genai>=1.0.0`.
At `lowest-direct` resolution this caused `validate-dependency-bounds-test` to
fail for `packages/gemini` with eleven `reportAttributeAccessIssue` /
`reportUnknownVariableType` errors.
Walking the upstream `google.genai.types` API:
- `GoogleMaps`, `AuthConfig`: present from 1.40.0
- `FileSearch`: introduced in 1.49.0
- `ThinkingLevel`: introduced in 1.55.0
- `SearchTypes`, `McpServer`, `StreamableHttpTransport`: introduced in 1.65.0
Bump the lower bound to 1.65.0 — the minimum version that exposes every symbol
the package actually uses. Keep the `<2.0.0` upper cap unchanged. With this
bump `validate-dependency-bounds-test` passes for both lower and upper
resolution scenarios across all 27 workspace packages.
Latent since #4847 (Gemini package introduction in 1.1.0); aggravated by
subsequent feature additions that pulled in newer `types.*` symbols.
* Python: add dependabot bumps to 1.2.1 CHANGELOG
Catalog the 15 dependabot dependency updates that merged on `upstream/main`
between python-1.2.0 and the 1.2.1 cut window under a new Changed section:
- Workspace dev/runtime deps: `rich`, `prek`, `python-multipart`, `pyasn1`,
`pytest` (ag-ui, devui, lab), `uv` (lab)
- Frontend deps: `vite` (devui, chatkit), `postcss` (devui, chatkit, handoff),
`picomatch` (devui, handoff)
CHANGELOG-only — no source or pyproject.toml changes. PRs themselves merged
upstream independently of this release branch and will be brought in via the
PR merge.
* 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>
* fix: prevent inner_exception from being lost in AgentFrameworkException
The __init__ method unconditionally called super().__init__() after
the conditional call with inner_exception, effectively overwriting the
exception args and losing the inner_exception reference.
Add else branch so super().__init__() is only called once with the
correct arguments.
Fixes#5155
Signed-off-by: bahtya <bahtyar153@qq.com>
* test: add explicit tests for AgentFrameworkException inner_exception handling
- test_exception_with_inner_exception: verifies args include inner exception
- test_exception_without_inner_exception: verifies args only contain message
- test_exception_inner_exception_none_explicit: verifies explicit None
Covers both branches of the if/else in __init__.
* fix: export AgentFrameworkException from package
Bahtya
---------
Signed-off-by: bahtya <bahtyar153@qq.com>
* Bump Python package versions for 1.2.0 release
Released tier bumps 1.1.1 -> 1.2.0 (core, openai, foundry, root) to
reflect additive public APIs landed since 1.1.0: functional workflow API
(#4238) and FunctionTool SKIP_PARSING sentinel (#5424). All beta packages
stamped 1.0.0b260424, alpha packages 1.0.0a260424. All 26 non-core
agent-framework-core floors raised to >=1.2.0,<2. CHANGELOG consolidates
the never-tagged 1.1.1 entries with the post-merge additions into [1.2.0].
* Update CHANGELOG footer links for 1.2.0
Advance [Unreleased] comparison base from python-1.1.0 to python-1.2.0
and add a [1.2.0] reference link comparing python-1.1.0...python-1.2.0
so the heading links resolve correctly.
* Fix CHANGELOG: restore [1.1.1] section and add proper [1.2.0]
Previous commit incorrectly renamed the [1.1.1] header to [1.2.0], which
wiped the historical 1.1.1 entries and wrongly attributed them to 1.2.0.
This restores [1.1.1] to its origin/main content and adds a new [1.2.0]
section above containing only the commits in python-1.1.1..HEAD:
- #4238 functional workflow API
- #5142 GitHub Copilot OpenTelemetry
- #2403 A2A bridge support
- #5070 oauth_consent_request events in Foundry clients
- #5447 FoundryAgent hosted agent sessions
- #5459 hosting server dependency upgrade + types
- #5389 AG-UI reasoning/multimodal parsing fix
- #5440 stop [TOOLBOXES] warning spam
- #5455 user agent prefix fix
Also corrects the [1.2.0] compare base to python-1.1.1 (not 1.1.0) and
adds the missing [1.1.1] reference link.
* 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>
* 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>
* 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>
* 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>
* improved parsing of tool call results and tweaks
* Address PR review: skip_parsing flag, broader registry close, comment fix
- FunctionTool.invoke now takes a boolean skip_parsing flag instead of the
SKIP_PARSING sentinel; the sentinel is still accepted as result_parser at
construction time to opt out of parsing for every call. The two paths are
equivalent.
- _SandboxRegistry.close now invokes any sandbox close/shutdown hook on the
entry's own worker thread (PyO3 unsendable), then shuts the worker down,
then cleans up the per-entry temporary directories.
- Clarified the _SandboxWorker.shutdown comment to describe the actual
ThreadPoolExecutor.shutdown(wait=False, cancel_futures=False) semantics.
- Hyperlight host callback uses skip_parsing=True (the new flag).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Drop redundant 'is not SKIP_PARSING' guard that mypy 1.x flags
After callable(configured_parser) the sentinel is already excluded; the extra
identity check tripped mypy's non-overlapping identity warning.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fixed sandbox working on copy of tool
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump Python version for a release.
* Revert lockstep bumps on unchanged connectors
Per PR review: only connectors that changed (or whose published metadata
changed) should get new versions. Keeps released tier at 1.1.1, a2a/ag-ui
at 1.0.0b260422, foundry-hosting at 1.0.0a260422; reverts the 19 unchanged
betas and 2 unchanged alphas to 1.0.0b260421/1.0.0a260421. Reverts all 26
non-core agent-framework-core floors to >=1.1.0,<2 since no connector
actually depends on a 1.1.1 API or bug fix.
* Restore lockstep prerelease bumps and raise core floors to >=1.1.1
Reverses the lean-revert: all beta packages stamped 1.0.0b260423 and alpha
packages stamped 1.0.0a260423 (Asia date, matching release cut time). All
26 non-core packages raise agent-framework-core lower bound from >=1.1.0,<2
to >=1.1.1,<2 to signal the validated cohort for this release. CHANGELOG
date updated to 2026-04-23.
* 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>
* 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>
* 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>
* 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>
* feat: add finish_reason support to AgentResponse and AgentResponseUpdate
Add finish_reason field to AgentResponse and AgentResponseUpdate classes,
propagate it through _process_update() and map_chat_to_agent_update(),
and add comprehensive unit tests.
Fixes#4622
* feat: add finish_reason to AgentResponse and AgentResponseUpdate
* style: add copyright header to test_finish_reason.py
* docs: add finish_reason to AgentResponse and AgentResponseUpdate docstrings
* refactor: move finish_reason tests into test_types.py per review feedback
Move all finish_reason test cases from the separate test_finish_reason.py
file into test_types.py as requested by eavanvalkenburg. Tests are placed
in a new '# region finish_reason' section at the end of the file.
* fix: use model instead of model_id in _process_update
Address PR review feedback from @eavanvalkenburg — ChatResponse and
ChatResponseUpdate both use 'model', not 'model_id'.
* fix: resolve SIM102 lint error in _process_update
Combine nested if statements for AgentResponse finish_reason check
to satisfy ruff SIM102 rule, with line wrapping to stay under 120 chars.
* fix: resolve pyright reportArgumentType in map_chat_to_agent_update
Add type: ignore[arg-type] for FinishReason NewType widening when
passing ChatResponseUpdate.finish_reason to AgentResponseUpdate.
Matches existing patterns in the codebase (40+ similar ignores).
Fixes#5246
When a custom @executor transforms agent output and sends a plain str,
the downstream AgentExecutor.from_str handler loses the full conversation
context. This adds a with_text() helper that creates a new
AgentExecutorResponse with replaced text while preserving the prior
conversation chain, so AgentExecutor.from_response is invoked instead.
- Add with_text(text) method to AgentExecutorResponse dataclass
- Add 3 regression tests in test_full_conversation.py
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
* Add agent-framework-gemini package
* Add AGENTS.md documentation
* Add LICENSE file
* Add README.md for agent-framework-gemini package
* Add Google Gemini API keys to .env.example
* Add Google Gemini chat client implementation
* Add tests for GeminiChatClient
* Add Google Gemini agent examples
* Fix client inheritence order
* Update Gemini agent examples
* Update documentation
* Update AGENTS.md
* Add tests for JSON string handling in GeminiChatClient
* Add final response assembly test in GeminiChatClient
* Add tests for handling empty candidates in GeminiChatClient
* Improve Pydantic response handling in GeminiChatClient
* Add tests for function result resolution and callable tool normalization
* Add test for function result resolution when call_id is generated
* Refactor GeminiChatClient to correct inheritance order
Also updates constructor parameter order for environment file handling
* Enhance documentation and clarify Gemini-specific fields
* Update ThinkingConfig with new attributes and type
* Add tests for GoogleSearch and GoogleMaps configs
* Suppress valid-type mypy error on GeminiChatOptionsT
* Move service_url method near overrides
* Order _prepare_config kwargs by base then Gemini-specific
* Use FunctionCallingConfigMode for clarity and type safety
* Fix code_execution doc
* Add agent-framework-gemini to project dependencies
* Remove package from core dependencies
Initial release will be done without agent-framework-gemini in
core[all].
* Move integration tests into one file
* Remove __init__.py file from gemini tests directory
* Introduce RawGeminiChatClient as lightweight chat client
Updated GeminiChatClient to inherit from RawGeminiChatClient, maintaining full functionality with added features.
* Updated variable names from `model_id` to `model`
Across the codebase, including environment variables and client initialization. Adjusted related tests and sample scripts to reflect this change, ensuring consistency in the usage of the Gemini model identifier.
* Update AGENTS.md
* Update Gemini package to alpha status
* Fix docstrings in Gemini tests
* Change 'model_id' to 'model' in response handling
* Fix model property change in response handling
* Add built-in tool factory methods to Gemini client
Replaces boolean tool options (code_execution, google_search_grounding,
google_maps_grounding) with static factory methods that return types.Tool
objects: get_code_interpreter_tool, get_web_search_tool, get_mcp_tool,
get_file_search_tool, and get_maps_grounding_tool.
Simplifies _prepare_tools to a single translation boundary between
FunctionTool (framework) and FunctionDeclaration (Gemini API), with
types.Tool objects passed through unchanged.
* Surface code execution parts
_parse_parts now maps executable_code and code_execution_result
parts to text Content objects so callers can see the code run
and its output. Unknown part types log at debug level rather than
being silently dropped.
* Update Gemini client documentation
* Unify Gemini model name
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
* Update Agent Framework core version
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
* Add Python 3.14 in classifiers
* Replace kwargs with parameters in tool factories
* Refactor chat options handling in Gemini client
* Add tests for handling unknown and consumed keys
* Update Gemini documentation
Now reflects new options and built-in tool factory methods
* Change build system to flit
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
* Fix build system in pyproject.toml
* Fix type checking for generate_content_stream
---------
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
* Python: Skip get_final_response in OTel _finalize_stream when stream errored
When a streaming error occurs, _finalize_stream (a cleanup hook registered by
AgentTelemetryLayer) was unconditionally calling get_final_response(), which
triggers all registered result hooks including after_run context providers.
This caused providers to fire incorrectly on error paths.
Guard against this by checking result_stream._consumed: True only after
StopAsyncIteration (normal completion), False when an exception was raised.
The fix applies to both the chat client and agent telemetry layers.
Closes#5231
* Python: Expose consumed/stream_error on ResponseStream and capture error in OTel span
Address Copilot review feedback on #5232:
- Add `_stream_error: Exception | None` to ResponseStream, set in __anext__'s
except branch so cleanup hooks can inspect the failure.
- Expose public `consumed` and `stream_error` properties to avoid coupling
observability.py to private stream internals.
- Update both _finalize_stream closures (chat and agent layers) to use the
public properties and call capture_exception() with the stream error before
returning early, ensuring the OTel span records the failure rather than
closing silently.
* Python: Address Copilot review feedback on stream error handling
- Use stream_error is not None as the guard in _finalize_stream instead of
not consumed, so the early-return path is keyed precisely to actual errors
rather than any non-normal completion state.
- Clear _stream_error after _run_cleanup_hooks() completes to avoid retaining
the exception traceback (and any large object graphs it references) on the
stream instance beyond the cleanup phase.
* Python: Remove consumed/stream_error properties, use private attrs directly
Per review feedback: since observability.py and _types.py are in the same
package, accessing _stream_error directly is fine and the public properties
are unnecessary.
* Python: Fix Pyright reportPrivateUsage via inline ignore comments
Keep _stream_error private (consistent with rest of ResponseStream), and
suppress reportPrivateUsage at the call sites in observability.py with
inline pyright: ignore comments — access is intentional within the package.
* AG-UI deterministic state updates from tool results
* fix(ag-ui): address PR #5201 review comments
1. Add missing AGUIEventConverter, AGUIHttpService, __version__ to
_IMPORTS in core ag_ui lazy-export list to match the .pyi stub.
2. Coalesce predictive and deterministic state snapshots into a single
StateSnapshotEvent when both mechanisms are active on the same tool
result, reducing redundant snapshot traffic.
3. Update state_update() docstring to clarify that a predictive snapshot
may be emitted before the deterministic one when predict_state_config
is active.
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>
* Bump Python version to 1.1.0 for a release
* Fix changelog
* 1.0.1 instead of 1.1.0
* Update CHANGELOG.md
* update version and changelog
* Bump lower bounds
* Harden Python checkpoint persistence defaults
Add RestrictedUnpickler to _checkpoint_encoding.py that limits which
types may be instantiated during pickle deserialization. By default
FileCheckpointStorage now uses the restricted unpickler, allowing only:
- Built-in Python value types (primitives, datetime, uuid, decimal,
collections, etc.)
- All agent_framework.* internal types
- Additional types specified via the new allowed_checkpoint_types
parameter on FileCheckpointStorage
This narrows the default type surface area for persisted checkpoints
while keeping framework-owned scenarios working without extra
configuration. Developers can extend the allowed set by passing
"module:qualname" strings to allowed_checkpoint_types.
The decode_checkpoint_value function retains backward-compatible
unrestricted behavior when called without the new allowed_types kwarg.
Fixes#4894
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: resolve mypy no-any-return error in checkpoint encoding
Add explicit type annotation for super().find_class() return value
to satisfy mypy's no-any-return check.
Fixes#4894
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Simplify find_class return in _RestrictedUnpickler (#4894)
Remove unnecessary intermediate variable and apply # noqa: S301 # nosec
directly on the super().find_class() call, matching the established
pattern used on the pickle.loads() call in the same file.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4894: Python: Harden Python checkpoint persistence defaults
* Restore # noqa: S301 on line 102 of _checkpoint_encoding.py (#4894)
The review feedback correctly identified that removing the # noqa: S301
suppression from the find_class return statement would cause a ruff S301
lint failure, since the project enables bandit ("S") rules. This
restores consistency with lines 82 and 246 in the same file.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4894: Python: Harden Python checkpoint persistence defaults
* Address PR review comments on checkpoint encoding (#4894)
- Move module docstring to proper position after __future__ import
- Fix find_class return type annotation to type[Any]
- Add missing # noqa: S301 pragma on find_class return
- Improve error message to reference both allowed_types param and
FileCheckpointStorage.allowed_checkpoint_types
- Add -> None return annotation to FileCheckpointStorage.__init__
- Replace tempfile.mktemp with TemporaryDirectory in test
- Replace contextlib.suppress with pytest.raises for precise assertion
- Remove unused contextlib import
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR #4941 review comments: fix docstring position and return type
- Move module docstring before 'from __future__' import so it populates
__doc__ (comment #4)
- Change find_class return annotation from type[Any] to type to avoid
misleading callers about non-type returns like copyreg._reconstructor
(comment #2)
Comments #1, #3, #5, #6, #7, #8 were already addressed in the current code.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4894: review comment fixes
* fix: use pickle.UnpicklingError in RestrictedUnpickler and improve docstring (#4894)
- Change _RestrictedUnpickler.find_class to raise pickle.UnpicklingError
instead of WorkflowCheckpointException, since it is pickle-level concern
that gets wrapped by the caller in _base64_to_unpickle.
- Remove now-unnecessary WorkflowCheckpointException re-raise in
_base64_to_unpickle (pickle.UnpicklingError is caught by the generic
except Exception handler and wrapped).
- Expand decode_checkpoint_value docstring to show a concrete example of
the module:qualname format with a user-defined class.
- Add regression test verifying find_class raises pickle.UnpicklingError.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: address PR #4941 review comments for checkpoint encoding
- Comment 1 (line 103): Already resolved in prior commit — _RestrictedUnpickler
now raises pickle.UnpicklingError instead of WorkflowCheckpointException.
- Comment 2 (line 140): Add concrete usage examples to decode_checkpoint_value
docstring showing both direct allowed_types usage and FileCheckpointStorage
allowed_checkpoint_types usage. Rename 'SafeState' to 'MyState' across all
docstrings for consistency, making it clear this is a user-defined class name.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: replace deprecated 'builtin' repo with pre-commit-hooks in pre-commit config
pre-commit 4.x no longer supports 'repo: builtin'. Merge those hooks into
the existing pre-commit-hooks repo entry.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* style: apply pyupgrade formatting to docstring example
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: resolve pre-commit hook paths for monorepo git root
The poe-check and bandit hooks referenced paths relative to python/
but pre-commit runs hooks from the git root (monorepo root). Fix
poe-check entry to cd into python/ first, and update bandit config
path to python/pyproject.toml.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix pre-commit config paths for prek --cd python execution
Revert bandit config path from 'python/pyproject.toml' to 'pyproject.toml'
and poe-check entry from explicit 'cd python' wrapper to direct invocation,
since prek --cd python already sets the working directory to python/.
Also apply ruff formatting fixes to cosmos checkpoint storage files.
Fixes#4894
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: add builtins:getattr to checkpoint deserialization allowlist
Pickle uses builtins:getattr to reconstruct enum members (e.g.,
WorkflowMessage.type which is a MessageType enum). Without it in the
allowlist, checkpoint roundtrip tests fail with
WorkflowCheckpointException.
Fixes#4894
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4894: review comment fixes
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Guard against empty text in _parse_structured_response_value (#5145)
When using response_format with background=True (Responses API), polling
an in-progress response produces empty text. _parse_structured_response_value
unconditionally passed this to model_validate_json/json.loads, causing
ValidationError or JSONDecodeError.
Add an early return of None when text is empty, matching the existing
guard for response_format=None. This allows .value to safely return None
for in-progress background responses.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix `response_format` crash on background polling with empty text
Fixes#5145
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Raise clear handler registration error for unresolved TypeVar (#4943)
Detect unresolved TypeVar in message parameter annotations during handler
registration in both _validate_handler_signature (Executor) and
_validate_function_signature (FunctionExecutor). Raises a ValueError with
an actionable message recommending @handler(input=..., output=...) or
@executor(input=..., output=...) instead of letting TypeVar leak through
to a confusing TypeCompatibilityError during workflow edge validation.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4943: reorder checks and harden function executor
- Move TypeVar check before validate_workflow_context_annotation in
_executor.py so users see the more actionable error first
- Wrap get_type_hints in try/except in _function_executor.py matching
the defensive pattern in _executor.py
- Repurpose duplicate test to cover bounded TypeVar rejection
- Add test_function_executor_allows_concrete_types for test symmetry
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Narrow get_type_hints except clause and add missing tests (#4943)
- Narrow `except Exception` to `except (NameError, AttributeError, RecursionError)`
in both _executor.py and _function_executor.py so unexpected failures in
get_type_hints are not silently swallowed.
- Add test_handler_unresolvable_annotation_raises to test_function_executor_future.py
exercising the except branch of get_type_hints in the function executor path.
- Add test_function_executor_rejects_bounded_typevar_in_message_annotation to
test_function_executor.py for parity with the Executor bounded TypeVar test.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add error ordering test for TypeVar vs WorkflowContext priority (#4943)
Add test_handler_typevar_error_takes_priority_over_context_error to verify
that when a handler has both a TypeVar message and an unannotated ctx, the
TypeVar error is raised first (the more actionable issue).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix image content serialization sending null file_id to Foundry API
Omit file_id from input_image dict when not present instead of including
it as null, which Azure AI Foundry's stricter schema validation rejects.
* Python: Fix Foundry API rejecting rich content in function_call_output
Azure AI Foundry does not support list-format output in function_call_output
items. Add SUPPORTS_RICH_FUNCTION_OUTPUT flag (default True) to
RawOpenAIChatClient, set to False in RawFoundryChatClient so Foundry
falls back to string output for tool results with images/files.
Also omit file_id from input_image dicts when not set, since Foundry
rejects explicit nulls.
* Python: Surface rich tool content as user message when Foundry lacks support
When SUPPORTS_RICH_FUNCTION_OUTPUT is False, image/file items from tool
results are injected as a follow-up user message so the model can still
process the visual content via Foundry's supported user message format.
* Xfail Foundry image integration test for the meantime
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Add deduplication to `prepend_instructions_to_messages()` to skip
instructions that are already present as leading messages with the
same role and text. This prevents duplicate system messages when
instructions are injected by multiple layers (e.g. Agent + chat client).
Fixes#5049
* Refactor Anthropic model option and provider clients
Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix Anthropic skills sample typing
Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* undo sample mypy
* Retry CI after transient external failures
Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback on model option merging
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address Anthropic compatibility review feedback
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* moved all to `model`
* fixes for azure ai search
* Python: standardize remaining sample env var names
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: fix foundry-local pyright compatibility
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated env vars in cicd
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix _add_text_reasoning_content dropping id during coalescing (#4852)
Preserve the id field (rs_* identifier) when coalescing text_reasoning
Content objects by passing id=self.id or other.id to the Content
constructor. This fixes the encrypted reasoning round-trip where the
missing id prevented _prepare_content_for_openai from including it in
the serialized reasoning item.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix `_add_text_reasoning_content` to preserve `id` during coalescing
Fixes#4852
* Raise AdditionItemMismatch on conflicting text_reasoning ids (#4852)
Detect when both operands have different non-empty ids during
text_reasoning Content coalescing and raise AdditionItemMismatch
instead of silently keeping one. This prevents mis-associating
encrypted_content during round-trips.
Also adds tests for conflicting ids and the neither-has-id edge case.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4852: Python: [Bug]: Content._add_text_reasoning_content drops id during coalescing, breaking encrypted reasoning round-trip
* test fix
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Add header_provider to MCPStreamableHTTPTool (#4808)
Add a header_provider callback parameter to MCPStreamableHTTPTool that
enables injecting dynamic per-request HTTP headers from runtime kwargs
(originating from FunctionInvocationContext.kwargs set in agent middleware).
The implementation uses contextvars and httpx event hooks to ensure headers
are task-local and safe for concurrent tool calls:
- header_provider receives the runtime kwargs dict and returns headers
- call_tool sets a ContextVar before delegating to MCPTool.call_tool
- An httpx request event hook reads from the ContextVar and injects headers
Example usage:
mcp_tool = MCPStreamableHTTPTool(
name="web-api",
url="https://api.example.com/mcp",
header_provider=lambda kwargs: {
"X-Auth-Token": kwargs.get("auth_token", ""),
},
)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4808: Python: [Bug]: Unable to pass AgentContext to MCPStreamableHTTPTool
* Add test for header_provider via FunctionTool.invoke with FunctionInvocationContext
Addresses PR review comment: exercises the full pipeline from
FunctionInvocationContext.kwargs through FunctionTool.invoke to
MCPStreamableHTTPTool.call_tool and header_provider, rather than
testing call_tool in isolation.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4808: review comment fixes
* Fix streamable MCP transport defaults
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix Azure AI test client mocks
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix MCP runtime kwarg regressions
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Stabilize MCP tool runtime kwargs
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Use context kwargs in MCP wrappers
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated mcp samples
* fix link
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Tao Chen
Evan MattsonandGitHub
bahtyarandGitHub
L. Elaine DazzioandGitHub
hashwnathandGitHub
