dependabot/github_actions/actions/github-script-9.0.0
15 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Giles Odigwe
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30996433ac |
Python: Restore Gemini thought_signature on approval replays (#7546)
Gemini 3.x rejects a request whose functionCall parts lack a thought_signature. The signature was carried as base64 protected_data on a text_reasoning content and re-attached by adjacency, which requires the carrier to immediately precede its call. An approval round trip replays the call with no carrier at all, so the next turn failed with a 400. Track signatures in a bounded per-client call_id map populated at parse time from the resolved call_id, and backfill only when the emitted part has no signature. Also stop clearing the held signature on contents that emit no Part, so an approval response or an unsigned thought summary between the carrier and its call no longer drops it. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: dd0909cd-c7c3-42cb-aef1-1e9a3e64d917 |
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Giles Odigwe
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4b1afd9052 |
Python: surface Gemini thought summaries as reasoning content (#7488)
Gemini thought-summary parts (part.thought=True) were dropped in _parse_parts, so reasoning never reached ChatResponse.contents. Emit them as text_reasoning content instead, matching OpenAIResponsesClient. Round-trip is safe: _convert_message_contents never re-emits reasoning text as a Part. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: b8aa906e-1408-40c1-9a45-6deb40dc36f8 |
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Eduard van Valkenburg
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b64a2e2f82 |
Python: add feature-usage User-Agent telemetry (#7420)
* Python: add first-pass feature usage telemetry Add the 128-bit feature accumulator, package-local indexes, activation markers, and destination-scoped User-Agent emission for the initial Python implementation slice. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 346bf168-b668-4c4a-a8db-a67282ee5e5f * Python: track declarative feature usage Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 346bf168-b668-4c4a-a8db-a67282ee5e5f * Python: complete feature usage telemetry Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 346bf168-b668-4c4a-a8db-a67282ee5e5f * Python: report core version in User-Agent Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 346bf168-b668-4c4a-a8db-a67282ee5e5f * Python: configure Lab telemetry import path Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 346bf168-b668-4c4a-a8db-a67282ee5e5f * Python: preserve telemetry transport behavior Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 346bf168-b668-4c4a-a8db-a67282ee5e5f * Python: preserve caller-owned Foundry transports Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 346bf168-b668-4c4a-a8db-a67282ee5e5f * Python: remove stale Anthropic test import Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 346bf168-b668-4c4a-a8db-a67282ee5e5f --------- Copilot-Session: 346bf168-b668-4c4a-a8db-a67282ee5e5f |
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Scarab Systems
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3daa3b2c2d |
Python: Fix Gemini harness tool declarations (#7322)
* Fix Gemini harness tool declarations Forward Agent Framework FunctionTool JSON Schemas to the Gemini SDK parameters_json_schema field and enable Developer API server-side tool invocation reporting when native Gemini tools are mixed with function declarations. Preserves Vertex AI behavior and existing function-calling tool_choice config. Validation: - uv run --directory python poe check -P gemini - uv run --directory python poe build -P gemini - uv run --directory python poe test -A -m 'not integration' - uv run --directory python pytest packages/gemini/tests/test_gemini_client.py -q -m integration (8 skipped: credential-gated) * Python: Use typing_extensions TypedDict in Gemini tests Use typing_extensions.TypedDict for the Gemini JSON Schema test helper so Pydantic can build the model on Python 3.11. This keeps the CI fix scoped to the failing test compatibility issue without changing Gemini client behavior. --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> |
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Giles Odigwe
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83ba938d1e |
Python: preserve Gemini 3 thought_signature across function-call replays (#7095)
* Python: preserve Gemini 3 thought_signature across function-call replays Gemini 3 requires the opaque thought_signature attached to each functionCall part to be echoed back on every replay of that call, or the request is rejected with 400 INVALID_ARGUMENT. The signature previously survived only via raw_representation, so any layer that reconstructs a FunctionCallContent (e.g. harness tool approval) dropped it and broke the next step of the tool loop. Capture the signature into additional_properties on parse and replay it when building the Gemini Part, independent of raw_representation. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 33233834-bc6e-4ad2-a6f3-6f1d6e57b1d2 * Store Gemini thought_signature as base64 for JSON-safe persistence Content.additional_properties is serialized via json.dumps(message.to_dict()) by history providers (e.g. RedisHistoryProvider), which fails on raw bytes. Store the thought_signature as a base64 string on parse and decode it back to bytes when building the Gemini Part. Also narrow call_id/name in the round-trip test to satisfy the type checkers. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 33233834-bc6e-4ad2-a6f3-6f1d6e57b1d2 * Harden Gemini thought_signature decode against corrupted history Guard the untyped additional_properties value with an isinstance(str) check and decode with validate=True, degrading gracefully (warn + drop the signature) on malformed data instead of raising binascii.Error mid tool loop. Matches the defensive base64 handling already used for data URIs in this file. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 33233834-bc6e-4ad2-a6f3-6f1d6e57b1d2 * Carry Gemini thought_signature on reasoning content via protected_data Represent the signature as a text_reasoning content's protected_data (base64) immediately preceding the function call, instead of a bespoke additional_properties key. This uses the framework's first-class opaque-signature field (as Anthropic does), survives streaming accumulation, and stays intact when the harness reconstructs the function call. Replay correlates the signature by adjacency. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 33233834-bc6e-4ad2-a6f3-6f1d6e57b1d2 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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346d3f0820 |
Python: Mark hosted tool calls informational-only (#6997)
* Python: Mark hosted tool calls informational-only Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Address informational-only review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Preserve approval responses in tool invocation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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07981847ed |
Add chat client Agent typing tests (#6950)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Giles Odigwe
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43f2095244 |
Python: Fix GeminiChatClient dropping image/file content (#6751)
* Python: Fix GeminiChatClient dropping image/file content GeminiChatClient._convert_message_contents only handled text and function_call content, so data/uri (image, PDF, audio) parts were silently dropped and never reached Gemini. Convert data URIs to inline_data Parts and external URIs to file_data Parts, warning on genuinely unconvertible content. Adds tests for the multimodal conversion paths. Fixes #6688 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review: strip data-URI mime params and handle non-inferable URIs Strip parameters (e.g. charset) from a data URI media type before passing it to Gemini, and wrap types.Part.from_uri so a URI with no media_type and no guessable extension is passed through as file_data without a mime type instead of raising ValueError. Adds tests for both paths. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review: reuse shared data-URI helpers Reuse _get_data_bytes and detect_media_type_from_base64 from agent_framework instead of reimplementing base64 extraction/decoding and data-URI header parsing in the Gemini client. This also removes the manual header parsing that previously needed charset-parameter stripping. Updates tests accordingly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Yufeng He
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1df47667ea |
Python: surface cache and reasoning token counts for the Bedrock and Gemini connectors (#6640)
* Python: surface Gemini cached and thinking token counts in usage details * Python: surface Bedrock cache token counts in usage details * Python: surface Gemini cached and thinking token counts in usage details * Python: surface Bedrock cache token counts in usage details * Return None from Bedrock _parse_usage when no token counts are present Matches the UsageDetails | None return annotation and the Gemini connector's behavior, so a usage payload with no recognized keys no longer propagates an empty mapping. Adds a regression test. |
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Eduard van Valkenburg
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6e95517659 |
Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) (#6443)
* Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) Rework the typing setup along the lines of the 'too many type checkers' approach: - Pyright (strict) is now the sole source-code type checker; mypy is removed from source and its [tool.mypy] block becomes a relaxed profile used only for tests/samples. - Tests are checked by all five checkers (pyright relaxed, mypy, pyrefly, ty, zuban); samples by pyright, pyrefly, and ty. All run in a relaxed/ basic profile so authors aren't forced into over-annotation. - Add pyrightconfig.tests.json and bump sample pyright configs to basic. - Unify test/sample typing onto the same parallel fan-out used by source pyright via run_command_items in task_runner.py. - Make version-conditional imports symmetric: keep or drop the '# type: ignore' on both branches so results match across interpreter versions (local vs CI). - Update SKILL.md, DEV_SETUP.md, and CODING_STANDARD.md for the five gating checkers and pyright on source+tests+samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix merge regressions from main (typing + runtime) Merging main into the type-checker split branch surfaced regressions that the new five-checker test suite and unit tests caught: Runtime fixes: - anthropic: restore the dropped `cache_read_input_token_count` mapping in _parse_usage_from_anthropic (lost during merge conflict resolution). - gemini: _get_function_calling_mode test helper returned str(enum) ('FunctionCallingConfigMode.AUTO') instead of the enum value ('AUTO'). - openai: _response_id_from_token test helper was an infinite self-recursion; return token['response_id']. - orchestrations: reset output_events per approval iteration so the terminal output assertion counts only the final run. - core: drop a stale duplicate harness test whose message ('non-negative') contradicted the source ('positive'). - purview: import PolicyLocation/PolicyScope/ProtectionScopeActivities/ ExecutionMode used by the processor tests. Type-checker fixes (tests, relaxed profile): - core: pyright/mypy/pyrefly/ty/zuban green-ups across the harness, MCP, observability and types tests. - anthropic/openai: route provider-namespaced UsageDetails keys through a dict cast (extra_items TypedDict unsupported by mypy/ty). - purview: typed model constructors and cache-mock casts. - ag-ui: annotate WorkflowContext[Any, Any] so yield_output accepts test payloads, guard Optional forwarded_props, and ty-ignore intentional bad args. Source pyright (sole source checker) flagged unnecessary ignores newly introduced by merged code in core _tools.py and declarative _declarative_base.py. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Isolate per-package mypy cache in test-typing fan-out The parallel test-typing fan-out runs many mypy processes concurrently, all defaulting to a single shared ./.mypy_cache. Concurrent writes corrupt the cache and mypy aborts with INTERNAL ERROR (intermittently, depending on worker timing) -- which is why CI's Test Typing job failed on a shifting set of packages while a single-package run was fine. Give each mypy invocation an isolated cache dir keyed by its target paths so incremental caching still works per package without races. Other checkers (zuban/pyrefly/ty/pyright) maintain their own caches and are unaffected. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Make lab pyright-only on source (drop source mypy) Lab was the last package still running mypy on its source code, requiring mypy-only `# type: ignore` comments that pyright (the sole source checker everywhere else) flags as unnecessary. Align lab with the rest of the monorepo: - Remove the lab source mypy poe tasks (mypy-gaia/lightning/tau2) and the now-dead strict [tool.mypy] config block. - Drop the 'Run lab mypy' CI step; lab source is type-checked by pyright only. Lab tests remain covered by the workspace test-typing fan-out (mypy, pyrefly, ty, zuban, pyright over tests using the relaxed root config). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix test-typing regressions from latest main merge A fresh merge from main brought in new test code never run under the five-checker test-typing suite. Green up across the affected packages: - core: narrow Optional span.attributes with 'and' guards in span filters and assert+cast the json.loads(...attributes[...]) reads (test_observability); match the existing as_agent ignore on the protocol-typed fixture (test_clients). - openai: align new streaming tests with the established chat_options dict pattern (ChatOptions TypedDict isn't assignable to dict), route Optional .annotations[0] access through a small _first_annotation helper (mirrors the file's assert-not-None convention), and annotate a mapped ResponseStream. - foundry_hosting: annotate error: dict[str, Any] = body.get(...) or {} (zuban needs the annotation). - foundry: narrow ignores for the live AIProjectClient credential arg (pyrefly) and connections.get_default (zuban) SDK type gaps. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated pyright version * pyright fix * Python: Fix source typing for pyright 1.1.410 Pyright 1.1.410 tightened several checks. Apply the same source fixes as upstream PR #6275: - anthropic: import AsyncAnthropicBedrock from anthropic.lib.bedrock and AsyncAnthropicVertex from anthropic.lib.vertex (no longer re-exported from the anthropic top-level package -> reportPrivateImportUsage). - core _types.py: cast the transform-hook result to UpdateT (reportAssignmentType). - core _workflows/_events.py: annotate the @contextmanager helper as Generator[None] instead of Iterator[None] (reportDeprecated). - redis: build the combined filter expression with an explicit loop instead of reduce(and_, ...), which pyright could no longer fully type (drops the now unused functools.reduce / operator.and_ imports). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Accept plain-text body in Azure Functions workflow/run endpoint The workflow_orchestrator already accepts plain strings as well as JSON objects via context.get_input(), but the start_workflow_orchestration HTTP handler only accepted JSON and returned 400 for any non-JSON body. This made the functions integration tests that POST text/plain to /api/workflow/run (e.g. test_09_workflow_shared_state) fail consistently with 400 != 202. Fall back to the raw request body (decoded as UTF-8) when the body is not JSON, rejecting only a truly empty body. The JSON path is unchanged. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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cooleryu
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d5335fbeae |
Python (fix:gemini): make Gemini honor declarative outputSchema, not just JSON mode (#5893)
* fix(gemini): preserve schema response_format * fix(gemini): satisfy pyright strict in response schema extraction Cast Any-narrowed mappings to Mapping[str, Any] in the structured-output schema helpers so pyright strict no longer reports partially-unknown member, argument, and variable types. Pass response_format["format"] straight into the recursive extractor, which already guards non-mapping inputs. No behavior change. * fix(gemini): use Sequence[object] cast to satisfy both mypy and pyright The Sequence[Any] cast pyright strict needs to know the loop element type is reported as a redundant-cast by mypy, which already narrows the isinstance branch to Sequence[Any]. Cast to Sequence[object] instead: pyright gets a fully known element type and mypy no longer sees an identical-type cast. No behavior change. --------- Co-authored-by: Evan Mattson <evan.mattson@microsoft.com> |
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Giles Odigwe
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570a4d54c2 |
Python: Support OpenAI and Gemini allowed_tools tool choice (#5322)
* Support OpenAI allowed_tools in ToolMode (#5309) Add allowed_tools field to ToolMode TypedDict, enabling users to restrict which tools the model may call via the OpenAI allowed_tools tool_choice type. This preserves prompt caching by keeping all tools in the tools list while limiting which ones the model can invoke. - Add allowed_tools: list[str] to ToolMode TypedDict - Add validation in validate_tool_mode() (only valid when mode == "auto") - Convert to OpenAI API format in _prepare_options() - Add tests for validation and API payload generation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Support OpenAI `allowed_tools` tool choice in Python SDK Fixes #5309 * Fix #5309: Validate allowed_tools shape and add Chat Completions client support - validate_tool_mode now checks allowed_tools is a non-string sequence of strings and normalizes to list[str], raising ContentError for invalid types - Add missing allowed_tools branch in _chat_completion_client._prepare_options so allowed_tools is emitted as the OpenAI allowed_tools wire format instead of being silently dropped - Add tests for invalid allowed_tools types (string, int, mixed), empty list, tuple normalization, and Chat Completions client payload generation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: support allowed_tools with mode 'required' in addition to 'auto' OpenAI's allowed_tools tool_choice type supports both mode 'auto' and 'required'. Update validation, client conversion, and tests to allow both modes instead of restricting to 'auto' only. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: use Gemini VALIDATED mode for allowed_tools, warn in unsupported providers - Use FunctionCallingConfigMode.VALIDATED instead of ANY when allowed_tools is set with auto mode in Gemini, preserving optional tool-call semantics. - Handle allowed_tools in required mode with required_function_name precedence. - Fix allowed_names guard to use identity check (is not None) so empty lists are preserved. - Bump google-genai minimum to >=1.32.0 (VALIDATED added in that version). - Add warnings in Anthropic and Bedrock when allowed_tools is set but not supported. - Add Gemini unit tests for allowed_tools with auto, required, empty list, and required_function_name precedence scenarios. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Chat Completions API does not support allowed_tools, add integration tests - Chat Completions API (_chat_completion_client.py) now warns and falls back to plain mode when allowed_tools is set, since the /chat/completions endpoint does not support the allowed_tools type. - Add allowed_tools integration test param to both OpenAIChatClient (Responses API) and OpenAIChatCompletionClient parametrized option tests. - Update Chat Completions unit tests to reflect the warn-and-fallback behavior. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: remove unused walrus operator variable in chat completion client Remove assigned-but-never-used variable 'allowed' flagged by ruff F841. 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> |
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Eduard van Valkenburg
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62e02da698 |
Python: update FoundryAgent for hosted agent sessions (#5447)
* fixes to FoundryAgent to connect to new hosted agents Co-authored-by: Copilot <copilot@github.com> * fix mypy Co-authored-by: Copilot <copilot@github.com> * Python: remove Foundry service session helpers Remove the public hosted-agent service session CRUD helpers from FoundryAgent and drop the related feature-stage inventory entry. Update the hosted-agent sample to create and delete service sessions directly through the preview AIProjectClient APIs, and tighten a few test harnesses surfaced by full workspace validation. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix from merge * fix hosted env detection Co-authored-by: Copilot <copilot@github.com> * reverted sample update * fix tests and code Co-authored-by: Copilot <copilot@github.com> * remove aenter * skipping some tests Co-authored-by: Copilot <copilot@github.com> --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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90a633967c |
Python: Fix Gemini client support for Gemini API and Vertex AI (#5258)
* Add Gemini and Vertex AI client support Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address Gemini PR review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * removed sample run readme part --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> |
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Björn Holtvogt
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485af07b8c |
Python: Add GeminiChatClient (#4847)
* 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> |