* Python: Foundry: make response tool sanitizer internal, drop TOOLBOXES warning
sanitize_foundry_response_tool runs on every tool passed to the Foundry
Responses API, so its @experimental(TOOLBOXES) decorator was emitting a
[TOOLBOXES] ExperimentalWarning for any FoundryChatClient call, even when
no toolbox was involved. The function isn't in __all__ and has no external
callers. Rename to _sanitize_foundry_response_tool and drop the decorator;
the actual toolbox-facing public helpers remain gated.
* Python: Foundry: silence pyright on intentional cross-module private import
* 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>
Eduard van Valkenburg
·
2026-04-23 08:14:51 +00:00
* 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.
* Add flaky test trend reporting to CI workflows
Parse JUnit XML (pytest.xml) from each integration test job and
aggregate results into a markdown trend report showing per-test
pass/fail/skip status across the last 5 runs.
Changes:
- Add python/scripts/flaky_report/ package (JUnit XML parser + trend
report generator following the sample_validation pattern)
- Add upload-artifact steps to all 6 integration test jobs in both
python-merge-tests.yml and python-integration-tests.yml
- Add python-flaky-test-report aggregation job with history caching
- Add --junitxml=pytest.xml to integration-tests.yml jobs (already
present in merge-tests.yml)
- Fix Cosmos job --junitxml path (use absolute path since uv run
--directory changes cwd)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix flaky report: handle missing test results gracefully
- Guard against missing reports directory in load_current_run()
- Only run report job when at least one integration test job completed
(skip when all jobs are skipped, e.g. on pull_request events)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review: fix provider names and if-expression precedence
- Use explicit provider name mapping in _derive_provider() so OpenAI
renders correctly instead of 'Openai'
- Fix operator precedence in workflow if-expressions by wrapping
success/failure checks in parentheses
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add File column and xfail detection to flaky test report
- Add File column showing module name (e.g., test_openai_chat_client)
to disambiguate tests with the same function name across files
- Detect pytest xfail tests in JUnit XML (type=pytest.xfail) and
show them with a distinct warning emoji instead of skip emoji
- Update legend to include xfail explanation
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add Foundry embedding env vars to merge-tests workflow
Sync the Foundry integration job in python-merge-tests.yml with
python-integration-tests.yml by adding FOUNDRY_MODELS_ENDPOINT,
FOUNDRY_MODELS_API_KEY, FOUNDRY_EMBEDDING_MODEL, and
FOUNDRY_IMAGE_EMBEDDING_MODEL. Once the repo variables/secrets
are configured, the embedding integration test will run in CI.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix File column showing class name instead of module name
When a test is inside a class, pytest writes the classname as e.g.
'pkg.test_file.TestClass'. The previous rsplit logic extracted
'TestClass' instead of 'test_file'. Now detect uppercase-starting
segments as class names and use the preceding segment instead.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review: UTC timestamps, XML error handling, summary fix, docstring
- Use datetime.now(timezone.utc) for accurate UTC timestamps
- Catch ET.ParseError per-file so corrupt XML doesn't crash the report
- Remove separate 'error' key from summary (errors folded into 'failed')
- Fix _short_name docstring to show actual dotted classname::name format
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Pass thread_id as session_id when constructing AgentSession in AG-UI
run_agent_stream() was constructing AgentSession without passing the
client's thread_id as session_id, causing every request to receive a
random UUID. This broke session continuity for HistoryProvider
implementations that rely on session_id matching the client's thread_id.
Pass session_id=thread_id in both the service-session and non-service
code paths so the session identity is consistent with the AG-UI client.
Fixes#5357
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add test for service_session with no thread_id edge case (#5357)
When use_service_session=True but no thread_id/threadId is in the payload,
verify session_id is a generated UUID and service_session_id is None.
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>
* Propagate session.service_session_id as A2A context_id
When A2AAgent is used behind the AG-UI protocol, the client thread_id is
stored in session.service_session_id but was never forwarded as the A2A
context_id. This broke session continuity across the AG-UI → A2A boundary.
Add an optional context_id keyword argument to _prepare_message_for_a2a()
and pass session.service_session_id from run(). The explicit
message.additional_properties["context_id"] still takes precedence.
Fixes#5345
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add integration tests for session context_id wiring in run() (#5345)
- Enhance MockA2AClient.send_message to capture last_message for assertions
- Add test_run_passes_session_service_session_id_as_context_id: verifies
run() passes session.service_session_id through to A2A message context_id
- Add test_run_message_context_id_takes_precedence_over_session: verifies
explicit message context_id wins over session fallback
- Update _prepare_message_for_a2a docstring to document context_id param
and its precedence rules
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #5345: Python: [Bug]: Inconvenient passing of context_id / thread_id in A2A/AG-UI implementations
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(foundry): reconcile toolbox hosted-tool payloads with Responses API
* docs(foundry): update create_sample_toolbox docstring to reflect all tools created
* 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>
* Fix OpenAIEmbeddingClient with /openai/v1 endpoint (#5068)
When base_url ends with /openai/v1/ and a credential is provided,
load_openai_service_settings was creating an AsyncAzureOpenAI client.
The Azure SDK rewrites deployment-based endpoints (including /embeddings)
by inserting /deployments/{model}/ into the URL, producing 404s on the
OpenAI-compatible /openai/v1 endpoint.
Use AsyncOpenAI instead of AsyncAzureOpenAI when the resolved base_url
targets /openai/v1, converting the Azure token provider to an async
api_key callable. The responses_mode path is unaffected because the
Responses API (/responses) is not in the SDK's rewrite list.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix OpenAIEmbeddingClient to use AsyncOpenAI for /openai/v1 endpoints
Fixes#5068
* Address review feedback: improve test coverage and remove unrelated changes
- Revert unrelated formatting change in test_a2a_agent.py
- Fix test_init_with_openai_v1_base_url_and_api_key_uses_openai_client to
exercise the Azure settings path (via AZURE_OPENAI_BASE_URL env var)
instead of the plain OpenAI path, covering the elif api_key branch
- Add _ensure_async_token_provider unit tests for both sync and async
token providers
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #5068: Python: [Bug]: `OpenAIEmbeddingClient` does not work with `/openai/v1` endpoint
---------
Co-authored-by: MAF Dashboard Bot <maf-dashboard-bot@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
* 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>
* Expose forwarded_props to agents and tools via session metadata (#5239)
Include forwarded_props from AG-UI request input_data in session.metadata
(agent runner) and function_invocation_kwargs (workflow runner) so that
agents, tools, and workflow executors can access request-level metadata
such as invocation source flags from CopilotKit.
- Add forwarded_props to base_metadata in _agent_run.py when present
- Add 'forwarded_props' to AG_UI_INTERNAL_METADATA_KEYS to filter it
from LLM-bound client metadata
- Extract forwarded_props in _workflow_run.py and pass via
function_invocation_kwargs to workflow.run()
- Accept both snake_case and camelCase keys (forwarded_props/forwardedProps)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(ag-ui): pass stream=True as literal to satisfy pyright overload resolution (#5239)
The previous fix passed stream=True via **kwargs dict, which prevented
pyright from resolving the Workflow.run() overload to the streaming
variant. Pass stream=True as an explicit keyword argument so pyright
can correctly infer the ResponseStream return type.
Also remove unused pytest import in test file.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: address PR review feedback for forwarded_props (#5239)
- Use key-presence checks instead of truthiness for forwarded_props so
empty dict {} is forwarded correctly
- Gate function_invocation_kwargs on workflow.run() signature inspection
to avoid TypeError for workflows without **kwargs
- Change _build_safe_metadata to drop (with warning) keys whose
serialized values exceed 512 chars instead of truncating into invalid
JSON
- Rewrite metadata tests to exercise _build_safe_metadata directly with
JSON-decodability and truncation assertions
- Add workflow tests for empty dict forwarded_props, stream=True
assertion, and signature-gated kwarg dropping
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* test: add stream=True assertions to CapturingWorkflow tests (#5239)
Guard against accidental removal of the explicit stream=True kwarg
in all forwarded_props CapturingWorkflow test cases.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #5239: Python: Expose forwardedProps to agents and tools via session metadata
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.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>
* Fix CopilotStudioAgent to reuse existing conversation on session (#5285)
CopilotStudioAgent unconditionally called _start_new_conversation() in both
_run_impl and _run_stream_impl, ignoring any existing service_session_id on
the session. Add a guard to only start a new conversation when there is no
existing service_session_id, matching the pattern used by other agents.
Also fix pre-existing pyright reportMissingImports errors for orjson in
file_history_provider samples.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Revert out-of-scope sample file changes
Remove unrelated orjson type-ignore comment changes from sample files
that were outside the scope of the conversation-ID reuse fix.
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>
* 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).
* Fix url_citation annotations dropped in streaming (#5029)
Add url_citation branch to the streaming annotation handler in
_parse_chunk_from_openai, mirroring the existing non-streaming path.
The handler creates an Annotation with type='citation', title, url,
and annotated_regions (TextSpanRegion), wrapped in Content.from_text.
Update test_streaming_annotation_added_with_unknown_type to use a
truly unknown type, and add new tests for url_citation (with and
without url).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #5029: Python: [Bug]: url_citation annotations silently dropped in Foundry streaming (SharePoint grounding citations lost)
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
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>
The local MCP server can't be used for hosted tools tests because
Anthropic's backend needs to reach the MCP URL from their infrastructure
(not localhost on the CI runner). Revert to learn.microsoft.com/api/mcp
but catch BadRequestError, InternalServerError, APIConnectionError, and
APITimeoutError and pytest.skip so upstream outages don't block the
merge queue.
* Python: use local MCP server for hosted tools test and broaden image assertion
The hosted tools integration test was hitting rate limits on the external
learn.microsoft.com MCP server, causing persistent failures that retries
couldn't recover from. Switch to the local MCP server already spun up in
CI via LOCAL_MCP_URL, skipping when the env var isn't set.
Also broaden the image description assertion to accept common synonyms
(cottage, mansion, villa, etc.) instead of just "house", since the model
legitimately uses varied vocabulary for the same image.
* Address review feedback: validate LOCAL_MCP_URL scheme and use word boundaries
- Skip hosted tools test when LOCAL_MCP_URL lacks http/https scheme,
matching the pattern used in test_mcp.py.
- Use regex word boundaries for image assertion to avoid false matches
like "villain" matching "villa".
* 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>
* Fix HandoffBuilder dropping function-level middleware when cloning agents (#5173)
_clone_chat_agent() was using agent.agent_middleware (agent-level only)
instead of agent.middleware (all types), which silently dropped any
function middleware registered on the original agent.
Changed to use agent.middleware to preserve all middleware types
(agent, function, and chat) during cloning.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix HandoffBuilder dropping function-level middleware when cloning agents
Fixes#5173
* Fix false-positive middleware regression test (#5173)
The test used isinstance(m, FunctionMiddleware) which matched
_AutoHandoffMiddleware (always appended during build) instead of the
user's @function_middleware decorator. Assert directly that
tracking_middleware is present in the cloned agent's middleware list.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #5173: Python: [Bug]: HandoffBuilder drops function-level middleware when cloning agents
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Add allowed_checkpoint_types support to CosmosCheckpointStorage (#5200)
Add allowed_checkpoint_types parameter to CosmosCheckpointStorage for
parity with FileCheckpointStorage. This ensures both providers use the
same restricted pickle deserialization by default.
Changes:
- Accept allowed_checkpoint_types kwarg in __init__, stored as frozenset
- Convert _document_to_checkpoint from @staticmethod to instance method
- Forward allowed_types to decode_checkpoint_value on all load paths
- Update class docstring to describe the new parameter
- Add tests covering built-in safe types, app type opt-in/blocking,
and all load paths (load, list_checkpoints, get_latest)
- Add changelog entry noting the breaking behavior change
BREAKING CHANGE: CosmosCheckpointStorage now uses restricted pickle
deserialization by default. Checkpoints containing application-defined
types will require passing those types via allowed_checkpoint_types.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Add `allowed_checkpoint_types` support to `CosmosCheckpointStorage` for parity with `FileCheckpointStorage`
Fixes#5200
* Address PR review: add pickle security warning and fix docstring examples
- Reintroduce explicit security warning about pickle deserialization risks
- Convert Example:: block to .. code-block:: python with imports for
consistency with other docstring examples
- Note: PR title should be updated to include [BREAKING] prefix per
changelog convention (comment #3, requires GitHub UI change)
Fixes#5200
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix python-feature-lifecycle skill YAML frontmatter
Remove copyright comment that preceded the YAML frontmatter delimiter,
which prevented the skill from loading. The --- block must be the very
first line of SKILL.md.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: update broken eslint-react plugin links in devui README
The upstream eslint-react repo moved plugins from packages/plugins/
to the top-level plugins/ directory, causing 404 errors detected by
linkspector CI.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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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
* 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
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Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>