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e0d0ad16a0 |
Python: feat(evals): Foundry Adaptive Evals integration (rubric-generation) (#6101)
* Python: feat(evals): RubricScore type + EvalScoreResult.dimensions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: feat(foundry-evals): RubricDimension + GeneratedEvaluatorRef + accept in evaluators= Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: feat(evals): parse rubric_scores from output items + assertion helpers Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: feat(evals): BaseAgent.as_eval_source / Workflow.as_eval_source Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: feat(foundry-evals): EvalGenerationSource + generate_rubric helper Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: feat(foundry-evals): YAML config loader + sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix(evals): address PR review feedback Addresses 4 Copilot review comments on PR #6101: 1. assert_dimension_score_at_least: drop the (not evaluator or found_any) guard so require_applicable=True correctly raises when the named evaluator produces no entries for the dimension. Adds TestRubricAssertions covering the regression. 2. GeneratedEvaluatorRef docstring: reword to describe actual behaviour (pinning recommended, not required) so it matches the dataclass default and FoundryEvals warning path. 3. _poll_generation_job: switch from asyncio.get_event_loop() to get_running_loop() and bound the per-iteration sleep by remaining time, matching _poll_eval_run. 4. generate_rubric: type category as Literal['quality','safety'] and validate at the entry point with a ValueError; drop the silent 'invalid -> quality' rewrite in _generation_job_to_ref. Adds a regression test. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: feat(foundry-evals): hosted-agent-aware rubric generation * Auto-detect hosted Foundry agents in agent_as_eval_source: when the agent's chat_client exposes a string agent_name (the convention used by RawFoundryAgentChatClient for PromptAgents/HostedAgents), emit a type='agent' EvalGenerationSource so the service fetches instructions and tools from the agent registry instead of relying on the local wrapper (which holds neither for hosted agents). * Add hosted_agent_version kwarg and a new agent_version field on EvalGenerationSource so PromptAgent runs can pin to a specific hosted version for reproducible rubric generation. * Add force_prompt_source escape hatch to bypass auto-detection and always emit a rendered prompt dossier - useful when the local wrapper carries overrides the service-side agent doesnt see. * Fix _to_sdk_source for dataset sources: SDK ctor takes name=/version=, not dataset_name=/dataset_version=. The mismatch would raise TypeError against the real azure-ai-projects 2.3.0a* SDK; only unmocked integration paths were affected. Tests cover: auto-detection happy path, versionless hosted agent, explicit hosted_agent_version forwarding, force_prompt_source override, non-string chat_client attrs (MagicMock test doubles) not mis-detected, agent_version forwarded through _to_sdk_source, and the corrected dataset SDK kwarg names. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(foundry-evals): accept canonical dimension_scores key per docs The published Foundry rubric-evaluator output (Microsoft Learn 'Rubric evaluators' reference) places per-dimension breakdowns under properties.dimension_scores, not properties.rubric_scores. The parser now tries dimension_scores first and falls back to rubric_scores for preview-build compatibility, and tolerates non-list payloads (e.g. MagicMock auto-attrs) by trying the next candidate when parsing yields zero entries. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat(foundry-evals): add manual create_rubric_evaluator Adds FoundryEvals.create_rubric_evaluator as the agent-framework surface over project_client.beta.evaluators.create_version. This is the manual counterpart to generate_rubric: callers supply RubricDimension instances (authored locally, ported from another framework, or hand-tuned) and we POST a RubricBasedEvaluatorDefinition. The service auto-attaches the non-editable residual dimension (general_quality for quality, general_policy_compliance for safety). Per the Microsoft Learn 'Rubric evaluators' reference, the auto-generation path (create_generation_job) is primarily a portal/UI feature; external SDK clients with rich local agent context are better served by manual create_version. This keeps generate_rubric for users who want to round-trip through a Foundry-registered agent. Validation up front: weight must be in [1,10], ids unique, descriptions non-empty, pass_threshold in [0,1]. The returned GeneratedEvaluatorRef is identical in shape to one obtained from generate_rubric, so downstream evaluators= lists work unchanged. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * samples(foundry-evals): manual rubric sample + namespace re-exports Adds evaluate_with_manual_rubric_sample.py demonstrating the end-to-end dev scenario for FoundryEvals.create_rubric_evaluator: hand-author a list of RubricDimension, register via create_rubric_evaluator, then use the pinned GeneratedEvaluatorRef alongside built-in evaluators in an agent regression run. Also re-exports RubricDimension, GeneratedEvaluatorRef, build_sources, and load_evals_config from agent_framework.foundry (both the lazy runtime shim and the type stub) so the rubric samples can import everything from a single namespace; the auto-generate sample was previously broken because the shim was missing build_sources / load_evals_config. Updates the foundry-evals README with a chooser entry for the two rubric paths. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat(foundry-evals): remove rubric creation flows; keep consumption only Reframes agent-framework as a pure consumer of Foundry rubric evaluators: scoring against rubrics that already exist (authored in the Foundry portal or via the dedicated SDK / REST surface) instead of creating them from the SDK. Removed creation surface area: - FoundryEvals.generate_rubric (auto-generate path) and create_rubric_evaluator (manual path), plus all _GenerationSdkTypes / _ManualRubricSdkTypes / _to_sdk_dimensions / _coalesce_generation_sources / _to_sdk_source / _poll_generation_job / _generation_job_to_ref / _evaluator_version_to_ref / _get_beta_evaluators / _import_*_sdk_types helpers. - EvalGenerationSource (the input source discriminator), RubricDimension (the input dimension type), agent_as_eval_source / workflow_as_eval_source / _detect_hosted_foundry_agent helpers, and the YAML-config loader (_evals_config.py with RubricGenerationSpec / RubricSourceSpec / parse_evals_config / load_evals_config / build_sources). - BaseAgent.as_eval_source / Workflow.as_eval_source plus the _render_agent_dossier / _render_workflow_dossier helpers in core. These existed only to feed the now-removed generation pipeline. - Samples evaluate_with_generated_rubric_sample.py, evaluate_with_manual_rubric_sample.py, and evaluators.yaml. Replaced with a short README section showing how to reference an existing rubric evaluator via GeneratedEvaluatorRef. Kept (consumption surface): - GeneratedEvaluatorRef, slimmed to (name, version, display_name). Still accepted alongside built-in evaluator strings in FoundryEvals(evaluators=[...]). Versionless refs still warn. - RubricScore on EvalScoreResult.dimensions plus EvalResults.assert_dimension_score_at_least for per-dimension CI gates. - _parse_dimension_entries / _extract_rubric_scores output parsing (both canonical dimension_scores and the legacy rubric_scores key). Tests: 160/160 foundry unit tests and 71/71 core local-eval tests pass; pyright is clean across changed files. The pre-existing tests/core/test_telemetry.py::test_detect_hosted_fallback_import_error failure is unrelated and reproduces on the prior commit. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * samples(foundry-evals): add evaluate_with_rubric_sample Adds a runnable end-to-end sample showing how to consume a pre-existing rubric evaluator created in Foundry: reference it with GeneratedEvaluatorRef(name, version), mix it with built-in evaluators in FoundryEvals, and gate CI with assert_dimension_score_at_least on a specific dimension. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(foundry-evals): satisfy mypy on _fetch_output_items mypy infers OutputItemListResponse.sample as dict[str, object] | None while pyright correctly infers the typed Sample model. Cast to Any so both type checkers accept the attribute access pattern, rename the local to avoid shadowing the inner-loop sample binding, and drop the now-stale pyright suppressions. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs(foundry-evals): drop unpublished rubric-evaluators learn.microsoft.com link The Adaptive Evals authoring docs are not yet published on Microsoft Learn, so the link 404s. Keep the descriptive text without the broken hyperlink; we can re-add it once the docs ship. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * test(foundry-evals): hoist repeated local imports to module top Per code review feedback (eavanvalkenburg): the test file repeated 'from agent_framework_foundry._foundry_evals import ...' inside 22 test bodies and 'from agent_framework_foundry import GeneratedEvaluatorRef' inside 8 more. Move all of them to the existing top-level imports; the symbols are the same across tests and the local imports were redundant. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Ben Thomas <25218250+alliscode@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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8091d052d8 |
Python: refresh dev dependencies and validate runtime bounds (#6238)
Updates third-party dev dependencies across the Python workspace and validates that all runtime dependency bounds still hold at both ends. Dev dependency bumps (root, lab, declarative, durabletask): - uv 0.11.6 -> 0.11.17, ruff 0.15.8 -> 0.15.15, pytest-asyncio 1.3.0 -> 1.4.0, mcp 1.27.0 -> 1.27.2, azure-monitor-opentelemetry 1.8.7 -> 1.8.8, poethepoet 0.42.1 -> 0.46.0, prek 0.3.9 -> 0.4.3, types-python-dateutil and types-PyYaml stub bumps. - Transitive Dependabot items swept via lock: idna 3.11 -> 3.17, pip 26.0.1 -> 26.1.2. Deliberately excluded: - opentelemetry-sdk stays 1.40.0: azure-monitor-opentelemetry (incl. 1.8.8) hard-pins opentelemetry-sdk==1.40. - mypy stays 1.20.0 and pyright stays 1.1.408: the 2.1.0 / 1.1.409 bumps introduce new diagnostics that fail type checking and need dedicated PRs. - rich kept as a range: agentlightning (lab[lightning]) forces rich==13.9.4. Code/formatting changes driven by the ruff upgrade: - devui lifespan now uses try/finally so shutdown cleanup always runs (ruff RUF075). - Removed unused TYPE_CHECKING imports in core and foundry flagged by ruff 0.15.15. - Reapplied ruff 0.15.15 formatting to the files it changed. Validation: validate-dependency-bounds-test "*" passes (31/31 lower + 31/31 upper); typing 62/62; lint 31/31; devui tests pass. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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 Tao ChenandGitHub
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0578f4c910 | Backfill chat span request model if it's unknown and response model is avaliable (#6160) | ||
 Yufeng HeandGitHub
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55dc3ce734 |
Python: fix: pass Foundry agent default headers (#6040)
* fix: pass Foundry agent default headers * test: loosen Foundry default header assertions |
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d5c07f2623 |
Python: feat(foundry): add to_prompt_agent / deploy_as_prompt_agent (experimental) (#5959)
* feat(foundry): add experimental to_prompt_agent converter Adds `to_prompt_agent(agent)`, an experimental converter (`ExperimentalFeature.TO_PROMPT_AGENT`) that turns an Agent Framework `Agent` into a Foundry `PromptAgentDefinition` ready to publish via `AIProjectClient.agents.create_version(...)`. Behaviour: * `agent.client` must be a `FoundryChatClient` (or subclass); otherwise `TypeError` is raised. The model deployment name is lifted from the bound client so the same Agent definition used for local runs can be published as a hosted prompt agent without restating the model. * Foundry SDK tool instances (from `FoundryChatClient.get_*_tool()`) are passed through unchanged. AF `FunctionTool`s (and `@tool`-decorated callables) are emitted as Foundry `FunctionTool` declarations. * Local AF MCP tools cannot be expressed in a `PromptAgentDefinition`; the converter raises `ValueError` and points at `FoundryChatClient.get_mcp_tool()` for hosted MCP servers. * The converter walks both `agent.default_options["tools"]` and `agent.mcp_tools` because `normalize_tools()` splits local MCP off into its own list. Re-exported through the `agent_framework.foundry` lazy-loading namespace (updates both `__init__.py` and the `__init__.pyi` type stub). Adds a portable-agent sample showing the same `Agent` driven through both `agent.run(...)` and `to_prompt_agent(agent)`, and a README section covering the new converter. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * chore(samples): remove snippet tags from portable agent sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * chore(samples): inline FoundryChatClient and enable prompt-agent publish Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * chore(samples): drop async credential context manager Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs(foundry): trim README to_prompt_agent example to publish-only flow Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs(foundry): note FoundryAgent runs @tool callables for deployed prompt agents Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(foundry): address review comments on to_prompt_agent converter * Construct `PromptAgentDefinition` `Tool` from a dict via `**tool_item` unpacking rather than the positional Mapping constructor \u2014 cleaner and matches the typical Pydantic / Azure SDK pattern. * Drop the redundant `isinstance(mcp_tool, MCPTool)` guard in `_convert_tools`; the parameter is already typed `Iterable[MCPTool]` so the second `raise` was unreachable. The remaining single `raise` fires for every entry as intended. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(foundry): match Agent.__init__ model resolution in to_prompt_agent * Read the model from `agent.default_options.get("model")` first, falling back to `agent.client.model`. This mirrors the order `Agent.__init__` uses (`_agents.py:740`) when assembling default_options, so the model the agent runs with is the same model the converter publishes \u2014 e.g. when the caller passes `default_options={"model": "..."}` to override the bound client. * Updated the missing-model error message to point at both the client and the default_options paths. * Added tests: * tool-only agent with no `instructions` produces a definition where `instructions` is `None` and is omitted from the dict payload (`Agent.__init__` strips None values from default_options before storing them). * `default_options['model']` wins over the bound client's model. * Fallback to client.model when default_options has no model. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat(foundry): add deploy_as_prompt_agent helper + samples Adds `deploy_as_prompt_agent(agent)`, a convenience wrapper around `to_prompt_agent` that reuses the bound FoundryChatClient's project client to call `project_client.agents.create_version(...)`. Defaults `agent_name` / `description` from `agent.name` / `agent.description` so the Agent stays the single source of truth. * Exposed from `agent_framework_foundry` and the lazy-loading `agent_framework.foundry` namespace (including the .pyi stub). * Marked experimental with the existing `ExperimentalFeature.TO_PROMPT_AGENT` tag. * Tests cover the happy path, name/description defaulting, explicit override, no-name error, metadata + description forwarding, extra kwargs passthrough, and the experimental metadata. Samples: * Renamed the existing sample to `creating_prompt_agents.py`, drops 'portable' wording, presents `deploy_as_prompt_agent` first as the recommended path and `to_prompt_agent` + `AIProjectClient` as the two-step alternative, and adds a cleanup step that deletes the published agent so re-runs stay idempotent. * New `using_prompt_agents.py` shows the end-to-end loop: deploy the agent, connect to it with `FoundryAgent` passing the same local `@tool` callable, run a query against the deployed prompt agent, then clean up. README updated to introduce `deploy_as_prompt_agent` as the recommended path and link to both runnable samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(foundry): restore missing-model ValueError in to_prompt_agent The check was accidentally dropped while reworking docstrings in the previous commit. Test `test_to_prompt_agent_rejects_missing_model` exercises this path and was failing on CI as a result. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * refactor(foundry): rename deploy_as_prompt_agent -> create_prompt_agent Renames the helper across the foundry package, core lazy-loader stubs, tests, README and samples. The new name better matches the action performed (a prompt-agent definition is created in Foundry) and is consistent with the surrounding ''create_*'' API surface. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * refactor(foundry): drop create_prompt_agent, enrich to_prompt_agent params Remove the create_prompt_agent helper and consolidate on to_prompt_agent. Expose every PromptAgentDefinition parameter that has either an Agent Framework equivalent (sourced from default_options) or no equivalent (accepted as a keyword argument). * default_options-sourced (with kwarg overrides): temperature, top_p, string tool_choice * kwarg-only Foundry knobs: reasoning, text, structured_inputs, rai_config, ToolChoiceParam tool_choice Precedence is always: explicit keyword > default_options entry > unset. Tests cover every path (defaults, default_options, kwargs, kwarg override). Samples and README rewritten around the enriched to_prompt_agent. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * refactor(foundry): single source of truth for prompt-agent options Stop duplicating the generation-parameter surface between FoundryChatOptions and to_prompt_agent. Translate every field with an Agent Framework equivalent (temperature, top_p, tool_choice, reasoning, response_format/text/verbosity) from agent.default_options via a new RawFoundryChatClient helper _prepare_prompt_agent_options. Only Foundry-specific fields with no AF equivalent — structured_inputs and rai_config — remain as keyword arguments on to_prompt_agent. - tool_choice is dropped when there are no tools (mirrors _prepare_options semantics and avoids polluting tool-less prompt agents with Agent.__init__'s 'auto' default). - response_format Pydantic models route through openai.lib._parsing._responses.type_to_text_format_param; dict shapes go through the existing _prepare_response_and_text_format helper. - default_options is not mutated; text dict is defensively copied. Tests, README, and creating_prompt_agents.py sample updated to reflect the new single-source model. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs(foundry): consolidate prompt-agent sample Drop creating_prompt_agents.py (the publish-only variant) and rename using_prompt_agents.py to foundry_prompt_agents.py so the single sample covers the full convert -> publish -> connect -> run loop. Update the README link list accordingly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs(foundry): run local Agent + deployed agent in same sample Add an agent.run() call against the local Agent before publishing, then run the deployed prompt agent on the same query. Expand the docstring with a compare-and-contrast covering runtime/latency, configurability, and persistence/sharing differences between the two execution paths. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * test(foundry): cover conflicting response_format + text.format in to_prompt_agent Exercises the ValueError path when a Pydantic response_format would overwrite an explicit text.format mapping with a different shape. Lifts _chat_client.py coverage from 89% to 90%. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * refactor(foundry): move _prepare_prompt_agent_options into _to_prompt_agent Lift the translation helper off RawFoundryChatClient and into the _to_prompt_agent module as a module-private function that takes the client as its first argument. The chat client no longer needs to carry a method whose only consumer is the prompt-agent converter, while still serving as the source of the request-path helper (_prepare_response_and_text_format) that the converter reuses for dict-shaped response_format values. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs(python): codify GA terminology + post-run docs review Add two pieces of guidance to python/AGENTS.md: * Terminology - reserve 'GA' for hosted services; use 'released' or 'stable' for Agent Framework code/features to match the feature-lifecycle stages. * Maintaining Documentation - review AGENTS.md and skills at the end of every run and update any guidance the conversation made stale; before adding a new principle, ask the user to confirm it should be captured. Also pulls in a docstring fix in foundry_prompt_agents.py that swaps the stray 'GA' for 'released', applying the new terminology rule. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * address PR review: strict=True default, Tool._deserialize dispatch, sample cleanup safety - FunctionTool published as strict=True so the server-side schema validation matches what the local FoundryAgent(tools=[same_callable]) dispatcher enforces. AF FunctionTool has no 'strict' attribute, so the safer default is used uniformly instead of silently downgrading to a permissive contract. - _validate_mapping_tool now dispatches through ProjectsTool._deserialize so dict-shaped tools rehydrate to the concrete subclass (FunctionTool, WebSearchTool, ...) via the 'type' discriminator instead of returning a generic Tool. Added a test that asserts isinstance(WebSearchTool) and a new test for the function-typed dict path. - foundry_prompt_agents.py sample now wraps credential + project client in async with and the create_version / run flow in try/finally so a failure on connect or run still deletes the published prompt agent rather than leaving an orphaned, billable resource in the user's Foundry project. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(ci): correct linkspector ignorePattern typo (./pulls -> ./pull) GitHub PR URLs use the singular segment /pull/N (compare to /issues/N for issues). The existing './pulls' ignore pattern never matched anything as a result, so legitimately stale PR links (e.g. PRs deleted from forks) surface as linkspector failures on unrelated PRs. This is the same convention the './issues' rule above already follows. Fixes the markdown-link-check failure on a dangling link in dotnet/src/Microsoft.Agents.AI.DurableTask/CHANGELOG.md. 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 HeandGitHub
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46ed66cfd5 | Python: include tool definitions for Foundry agent evals (#5974) | ||
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47f5c3397f |
Python: feat(foundry): add experimental hosted tool factories on FoundryChatClient (#5958)
* feat(foundry): add experimental hosted tool factories on FoundryChatClient Adds eight new `@experimental` static factory methods on `FoundryChatClient` covering Foundry-hosted tools that previously had no helper: - get_azure_ai_search_tool - get_sharepoint_tool - get_fabric_tool - get_memory_search_tool - get_computer_use_tool - get_browser_automation_tool - get_bing_custom_search_tool - get_a2a_tool All factories are marked with the new `ExperimentalFeature.FOUNDRY_TOOLS` tag and resolve the underlying `azure-ai-projects` preview classes lazily through a `_require_sdk_class` helper so older SDK versions still import cleanly and fail with a clear `ImportError` only on use. Tests cover each factory's return type and field wiring, the experimental metadata, and the missing-SDK-class fallback. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * test(foundry): address review comments on tool-factory tests * Skip preview-tool tests gracefully (`_skip_if_sdk_class_missing`) when the installed `azure-ai-projects` does not expose the required preview class, matching the lazy-import guard in production code so the test suite stays green on older SDK installs. * Add `filterwarnings("ignore::FutureWarning")` to each new tool-factory test (and the parametrized metadata test) so they remain stable under strict warning configurations \u2014 the global dedup in `_feature_stage._WARNED_FEATURES` makes `pytest.warns` brittle across ordered runs. * Use `monkeypatch.setattr(..., None, raising=False)` instead of `delattr` in the missing-SDK-class test so it works for modules that implement PEP 562 `__getattr__`. * Split the long `get_bing_custom_search_tool` return into two lines for readability. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(foundry): harden tool-factory kwargs against silent override * Reorder the dict-literal kwargs assembly in get_azure_ai_search_tool, get_memory_search_tool, and get_bing_custom_search_tool so explicit parameters always take precedence over **kwargs (matching the safe pattern already used in get_a2a_tool). This prevents a caller passing `project_connection_id`, `index_name`, `memory_store_name`, `scope`, or `instance_name` through `**kwargs` from silently overriding the explicit security-sensitive arguments. * Update the README experimental note to reflect once-per-feature-id dedup semantics of `_feature_stage._WARNED_FEATURES` rather than claiming a per-factory "first use" warning. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat(foundry): split FOUNDRY_TOOLS / FOUNDRY_PREVIEW_TOOLS, add bing-grounding - Add ExperimentalFeature.FOUNDRY_PREVIEW_TOOLS to distinguish wrappers around preview Foundry SDK tool classes (Sharepoint/Fabric/Memory/ComputerUse/ BrowserAutomation/BingCustomSearch/A2A) from FOUNDRY_TOOLS, which is for GA-SDK wrappers that are simply new in agent-framework-foundry (AzureAISearch, BingGrounding). - Add get_bing_grounding_tool factory and a 'Choosing a web grounding tool' comparison block on get_web_search_tool / get_bing_grounding_tool / get_bing_custom_search_tool docstrings. - Drop the _require_sdk_class lazy resolver: every guarded class is available at azure-ai-projects>=2.1.0 (the package floor), so import them eagerly. Concrete return types replace 'Any'. - README: split the experimental factories into two tables, one per feature flag, with a note explaining the distinction. - Tests: split into FOUNDRY_TOOLS / FOUNDRY_PREVIEW_TOOLS factory cases; drop the obsolete missing-SDK-class ImportError test. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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72a6157c6a |
[BREAKING] Python: Enable instrumentation by default (#5865)
* Enable instrumentation by default * Update samples * Optimization when span is not recording * Address Copilot comments * Revert uv.lock * Add warning * Formatting * Fix mypy * Add disable_instrumentation() with sticky user-intent semantics Add a public disable_instrumentation() entry point so users can explicitly opt out of Agent Framework telemetry, with a sticky-disable flag that makes the user's intent "leading" — no framework code path (foundry's configure_azure_monitor, configure_otel_providers, enable_instrumentation, enable_sensitive_telemetry, or direct OBSERVABILITY_SETTINGS.enable_* writes) can re-enable instrumentation until the user explicitly clears the disable with enable_instrumentation(force=True) / enable_sensitive_telemetry(force=True). Also addresses the two remaining unresolved review threads on the PR: 1. test_observability_settings_defaults_instrumentation_true pins the new "ENABLE_INSTRUMENTATION defaults to True when env unset" behavior. 2. test_enable_instrumentation_reads_env_sensitive_data restores coverage for the post-import load_dotenv() fallback path. Implementation: - ObservabilitySettings.enable_instrumentation / enable_sensitive_data become properties backed by _enable_*. While _user_disabled is True, the getters return False and the setters drop True writes (defense in depth so third- party writes can't subvert the disable). - Public is_user_disabled read-only property lets integrations (e.g. foundry's configure_azure_monitor) cheaply check the disable state without poking at privates. - enable_instrumentation() and enable_sensitive_telemetry() short-circuit with an info log when disabled; gain a force=True kwarg that clears the disable. - configure_otel_providers() still creates providers / exporters / views so a later force-enable can use them, but logs an info message when called while disabled. - Foundry's FoundryChatClient.configure_azure_monitor and FoundryAgent.configure_azure_monitor early-return when the user has disabled, so Azure Monitor's global providers aren't installed unnecessarily. Tests: 11 new tests covering default-on, env re-read at call time, sticky behavior against each re-enable surface (enable_instrumentation, enable_sensitive_telemetry, configure_otel_providers, direct attribute writes), force=True override, re-arming the disable, and the __all__ export. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: document disable_instrumentation() and force=True paths Add a "Disabling instrumentation" section to the observability sample README that walks through: - The distinction between the ENABLE_INSTRUMENTATION env var (initial, non-sticky) and disable_instrumentation() (process-wide, sticky). - Why the sticky semantics matter: framework integrations like FoundryChatClient.configure_azure_monitor() can call enable_instrumentation() as part of their setup, and the user's opt-out needs to win. - All five surfaces guarded by the sticky disable (property reads, public enable functions, configure_otel_providers, direct attribute writes, is_user_disabled-aware integrations). - The force=True escape hatch on both enable_instrumentation() and enable_sensitive_telemetry(). - How third-party integrations should consult OBSERVABILITY_SETTINGS.is_user_disabled. - The limits of the disable (does not tear down existing providers / in-flight spans / third-party instrumentation, does not persist across processes). Cross-links the new section from the ENABLE_INSTRUMENTATION row in the env vars table. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: soften disable_instrumentation() overclaim about telemetry guarantees Replace 'no telemetry will be emitted no matter what' (which is too strong, since callers can still pass force=True or mutate private attributes) with language framing the disable as a user-intent contract that library and framework code is expected to honor: the framework actively short-circuits the public enable paths, force=True and private-attribute writes are acknowledged as out-of-contract escape hatches that integrations should not use on the user's behalf. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: correct observability Dependencies section - opentelemetry-sdk is no longer a hard dependency; it is lazily imported by create_resource(), create_metric_views(), and configure_otel_providers() with a clear ImportError when missing. Day-to-day instrumentation works with opentelemetry-api alone provided some other component configures the global OpenTelemetry providers (Azure Monitor, an APM agent, application bootstrap, etc.). - opentelemetry-semantic-conventions-ai is no longer used anywhere in the source; remove it from the listed dependencies. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: replace stale observability migration guide with current PR's only relevant migration The old guide documented the move away from setup_observability(otlp_endpoint=...) which was an earlier-release API change unrelated to this PR and stale enough that it's more confusing than helpful at this point. Replace it with a short note on the single migration this PR introduces: callers of enable_instrumentation(enable_sensitive_data=True) should switch to enable_sensitive_telemetry(). Cross-link to the Disabling instrumentation section for the rare 'force on without enabling sensitive data' use case where enable_instrumentation() still applies. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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e56e6dad4d |
Python: Remove bespoke Foundry toolbox helpers; standardize on MCP for toolbox consumption (#5671)
* Remove Foundry toolbox helpers; standardize on MCP for toolbox consumption - Remove RawFoundryChatClient.get_toolbox() and its fetch_toolbox import - Remove fetch_toolbox, select_toolbox_tools, get_toolbox_tool_name, get_toolbox_tool_type, FoundryHostedToolType, ToolboxToolSelectionInput from agent_framework_foundry._tools - Remove ExperimentalFeature.TOOLBOXES from _feature_stage.py (no consumers) - Drop toolbox re-exports from agent_framework_foundry/__init__.py and agent_framework.foundry namespace - Update _sanitize_foundry_response_tool docstring to remove toolbox framing; sanitization logic itself is unchanged - Update _agent.py docstring: 'toolbox-fetched MCP' → 'hosted MCP' - Delete tests/test_toolbox.py (all tests covered removed helpers) - Update test_foundry_chat_client.py: rename/redoc tests that mentioned toolbox but test sanitization that remains - Delete foundry_chat_client_with_toolbox.py (bespoke toolbox API sample) - Delete foundry_toolbox_context_provider.py (relied on select_toolbox_tools) - Rename foundry_chat_client_with_toolbox_mcp.py → foundry_chat_client_with_toolbox.py (canonical MCP pattern) - Rewrite 04_foundry_toolbox/main.py to use MCPStreamableHTTPTool - Update provider/README, context_providers/README, 04_foundry_toolbox/README Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(samples): update 06_files sample to consume toolbox via MCP (#5670) Replace removed get_toolbox/select_toolbox_tools APIs with MCPStreamableHTTPTool, using allowed_tools=["code_interpreter"] to select only the code interpreter from the toolbox endpoint. Update .env.example and README to use FOUNDRY_TOOLBOX_ENDPOINT instead of TOOLBOX_NAME. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(foundry): remove non-existent toolbox helper APIs from README (#5670) Remove the 'fetch, optionally filter, and pass tools directly' pattern from the FoundryChatClient toolbox documentation, as select_toolbox_tools and get_toolbox were removed. Only the MCP endpoint pattern is documented. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(foundry): remove residual toolbox docstring references and reproduction report Remove REPRODUCTION_REPORT.md (workflow artifact that should not be committed), and update two remaining docstring references that still said 'toolbox reads' /'toolbox definition' after the toolbox helpers were removed. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Remove bespoke Foundry toolbox helpers; standardize on MCP for toolbox consumption Fixes #5670 * fix(#5670): resolve toolbox endpoint from TOOLBOX_NAME fallback; add namespace regression tests - Add _resolve_toolbox_endpoint() helper in 04_foundry_toolbox/main.py and 06_files/main.py that prefers FOUNDRY_TOOLBOX_ENDPOINT but falls back to deriving the MCP URL from FOUNDRY_PROJECT_ENDPOINT + TOOLBOX_NAME — fixing the startup KeyError when agents are deployed via azd provision (which injects TOOLBOX_NAME, not FOUNDRY_TOOLBOX_ENDPOINT). - Update 04_foundry_toolbox/.env.example to use FOUNDRY_TOOLBOX_ENDPOINT (consistent with 06_files). - Add TOOLBOX_NAME env var to 06_files/agent.yaml so deployed agents have it available for the fallback derivation. - Update both READMEs to document the two ways to supply the toolbox endpoint. - Add test_foundry_namespace_no_longer_exposes_toolbox_helpers() with negative assertions for FoundryHostedToolType, get_toolbox_tool_name, get_toolbox_tool_type, and select_toolbox_tools — guarding against accidental re-introduction of removed symbols. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(samples): fail fast on empty FOUNDRY_TOOLBOX_ENDPOINT; add unit tests Addresses review feedback for #5670: - In _resolve_toolbox_endpoint() (04_foundry_toolbox/main.py and 06_files/main.py) change the walrus-operator check from a truthy test to an explicit 'is not None' guard. An explicitly set empty string now raises ValueError immediately with a clear message instead of silently falling through to the fallback URL construction. - Add tests/samples/hosting/test_toolbox_endpoint.py covering both sample modules: (a) FOUNDRY_TOOLBOX_ENDPOINT set → returned as-is (b) FOUNDRY_TOOLBOX_ENDPOINT set to empty string → ValueError (c) fallback constructs URL from FOUNDRY_PROJECT_ENDPOINT + TOOLBOX_NAME, stripping trailing slashes (d) neither variable group set → KeyError Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback: remove extraneous test and docstring content - Remove test_foundry_namespace_no_longer_exposes_toolbox_helpers (no longer warranted) - Remove docstring from _agent.py _prepare_tools_for_openai (extraneous) - Trim _chat_client.py _prepare_tools_for_openai docstring to one-liner (toolbox references no longer relevant) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: remove remaining extraneous docstring from RawFoundryChatClient._prepare_tools_for_openai Address review comment on PR #5671: reviewer noted the description isn't warranted now that toolbox helpers have been removed. Matches the pattern in RawFoundryAgentChatClient which has no docstring. 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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Evan MattsonandGitHub
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f3db60fa65 |
Python: Support GPT-5 verbosity option and restore Foundry agent_reference (#5619)
* Python: Support GPT-5 verbosity option and restore Foundry agent_reference Adds verbosity as a typed Literal["low","medium","high"] field on OpenAIChatOptions (Responses API) and OpenAIChatCompletionOptions (Chat Completions API), set in the same way as the existing reasoning options. For the Responses API, top-level verbosity is translated to the nested text.verbosity shape the OpenAI service expects. The same field flows through to FoundryChatClient via the existing FoundryChatOptions alias. Also fixes #5582: PR #5447 removed the agent_reference injection from RawFoundryAgentChatClient._prepare_options, so first-turn calls against a Foundry Prompt Agent went out without model and without agent_reference and were rejected by the Responses API with "Missing required parameter: 'model'". Restores the injection on the non-preview path (allow_preview=False) and adds a guard test that asserts the preview path does not inject agent_reference, since the preview SDK injects it via project_client.get_openai_client(agent_name=...). Closes #5516 Closes #5582 * Python: Address Copilot review on PR #5619 - Foundry verbosity sample docstring: replace the misleading "set deployment name on model=" instruction with the actual env-var pattern the sample relies on (FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL). - _build_agent_reference docstring: clarify the helper is used for both Prompt Agents and HostedAgents on the non-preview path. - Add a Responses API test that locks in the documented precedence rule: when both top-level verbosity and text["verbosity"] are supplied, the top-level value wins. * Python: Drop redundant Foundry verbosity sample and list OpenAI sample in README - Remove samples/02-agents/providers/foundry/foundry_chat_client_verbosity.py per review feedback. The verbosity functionality is identical across the OpenAI and Foundry clients (FoundryChatOptions is an alias of OpenAIChatOptions), so a single sample on the OpenAI side is sufficient. - Add the new client_verbosity.py entry to the OpenAI samples README. |
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7b70f80036 |
Python: Surface oauth_consent_request events from Responses API in Foundry clients (#5070)
* Fix Foundry clients not surfacing oauth_consent_request events (#5054) Override _parse_chunk_from_openai in both RawFoundryChatClient and RawFoundryAgentChatClient to intercept response.output_item.added events with item.type == 'oauth_consent_request'. The consent link is validated (HTTPS required) and converted to Content.from_oauth_consent_request, which the AG-UI layer already knows how to emit as a CUSTOM event. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback for #5054 OAuth consent parsing - Extract shared helper (try_parse_oauth_consent_event) to avoid duplicated logic between RawFoundryChatClient and RawFoundryAgentChatClient - Use urllib.parse.urlparse() for HTTPS validation instead of case-sensitive startswith check - Sanitize log messages to avoid leaking consent_link tokens; log only item id - Add model=self.model to ChatResponseUpdate to match parent behavior - Add assertions on role, raw_representation, and model in happy-path tests - Add test for empty-string consent_link - Add test verifying non-oauth events delegate to super() Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Handle response.oauth_consent_requested top-level event (#5054) Add support for the top-level response.oauth_consent_requested stream event in addition to the response.output_item.added variant. The service may emit either form; handle both so the consent link is reliably surfaced. Extract _validate_consent_link helper within _oauth_helpers.py to reduce nesting. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback for #5054: Python: [Bug]: `FoundryAgent` (Responses API) Does Not Surface `oauth_consent_request` as a CUSTOM AG-UI Event * Address review feedback: defensive getattr and dedicated helper tests (#5054) - Use getattr(event, 'type', None) in try_parse_oauth_consent_event for defensive access against malformed events without a type attribute - Add test_oauth_helpers.py with unit tests for _validate_consent_link and try_parse_oauth_consent_event covering edge cases: - HTTPS URL with empty netloc (https:///path) - Warning log messages for rejected consent links - Event objects missing 'type' attribute Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback for #5054: Python: [Bug]: `FoundryAgent` (Responses API) Does Not Surface `oauth_consent_request` as a CUSTOM AG-UI Event * Fix mypy: match _parse_chunk_from_openai signature with superclass Add seen_reasoning_delta_item_ids parameter to _parse_chunk_from_openai overrides in both RawFoundryChatClient and RawFoundryAgentChatClient to match the updated superclass signature on main. Update super() calls and test assertions accordingly. 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> Co-authored-by: Evan Mattson <evan.mattson@microsoft.com> |
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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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Tao ChenandGitHub
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0989e68d1c |
Python: Fix user agent prefix (#5455)
* Fix hosting user agent missing * Fix other providers * Add more tests * comments * Fix tests |
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Evan MattsonandGitHub
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b084d0461d |
Python: (foundry): stop emitting [TOOLBOXES] warning for every FoundryChatClient call (#5440)
* 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 |
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Evan MattsonandGitHub
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fffd0acb3e |
Python: fix(foundry): reconcile toolbox hosted-tool payloads with Responses API (#5414)
* fix(foundry): reconcile toolbox hosted-tool payloads with Responses API * docs(foundry): update create_sample_toolbox docstring to reflect all tools created |
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aa582d021d |
Python: feat(evals): add ground_truth support for similarity evaluator (#5234)
* feat(evals): add ground_truth support for similarity evaluator - Include expected_output as ground_truth in Foundry JSONL dataset rows - Add ground_truth to item schema and data mapping for similarity evaluator - Add expected_output parameter to evaluate_workflow - Add similarity Pattern 3 to evaluate_agent and evaluate_workflow samples - Add tests for ground_truth in dataset, schema, and evaluate_workflow * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * fix: wrap long line to satisfy ruff E501 --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> |
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04aaf0c1fe |
Python: Add support for Foundry Toolboxes (#5346)
* Add support for the Foundry Toolbox in MAF Introduces a Foundry Toolbox integration: FoundryChatClient gains a get_toolbox() helper plus select_toolbox_tools(), normalize_tools in the core package flattens tool-collection wrappers (ToolboxVersionObject and generic iterables, while leaving Pydantic BaseModel instances alone), and the new agent_framework.foundry namespace re-exports the toolbox helpers. Ships with unit tests, a sample, and a design doc. azure-ai-projects is pinned to the public >=2.0.0,<3.0 range and the lockfile resolves from public PyPI. The toolbox test module skips when Toolbox* types are unavailable so CI stays green until the public 2.1.0 SDK lands. OMC tooling directories (.omc/, .omx/) are gitignored. * Update to latest azure ai projects package * Improve sample * Rename ADR to 0025 * Update ADR * Apply suggestion from @alliscode Co-authored-by: Ben Thomas <ben.thomas@microsoft.com> * Improve samples * Update test --------- Co-authored-by: Ben Thomas <ben.thomas@microsoft.com> |
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18d1ba3624 |
Python: Strip tools from FoundryAgent request when agent_reference is present (#5101)
_prepare_options() now removes tools, tool_choice, and parallel_tool_calls from run_options after injecting agent_reference. The Foundry API rejects requests containing both fields. FunctionTools are still invoked client-side by the function invocation layer. Fixes #5087 Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> |
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36cafe4e5a |
Python: Raise clear handler registration error for unresolved TypeVar annotations (#4944)
* 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> |
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Eduard van ValkenburgandGitHub
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3446eb8d5d |
Python: [BREAKING] update to v1.0.0 (#5062)
* updates to final deprecated pieces and versions * fix mypy * fix readme links |
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Eduard van ValkenburgandGitHub
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95fd5ec658 |
Python: [BREAKING] Python: move Azure AI embeddings to Foundry (#5056)
* renamed AzureAIINferenceEmbeddings and lazy load azure-cosmos and env var rename * updated coverage * fix readme |
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7607acd009 |
Python: Add experimental decorator to all Evals pieces (#5040)
* Initial plan * feat(python): add experimental decorator to all Evals pieces Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/99d71249-a5d6-4977-a5b5-6ffe0a3be2bc Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> |
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6acab3d1d6 |
Python: [BREAKING] Standardize model selection on model (#4999)
* Refactor Anthropic model option and provider clients Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Anthropic skills sample typing Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * undo sample mypy * Retry CI after transient external failures Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback on model option merging Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address Anthropic compatibility review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * moved all to `model` * fixes for azure ai search * Python: standardize remaining sample env var names Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix foundry-local pyright compatibility Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated env vars in cicd --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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b065a4ce51 |
Python: [BREAKING] update context provider APIs, middleware, and per-service-call history persistence (#4992)
* Rename provider base APIs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Allow provider-added chat and function middleware Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simulate service-stored history per model call Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix typing regressions in CI Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix response ID suppression review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Rename per-service-call history persistence APIs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address context persistence review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Stabilize markdown sample docs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Persist service continuation state per call Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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35adfdb318 |
Python: Foundry Evals integration for Python (#4750)
* Foundry Evals integration for Python Merged and refactored eval module per Eduard's PR review: - Merge _eval.py + _local_eval.py into single _evaluation.py - Convert EvalItem from dataclass to regular class - Rename to_dict() to to_eval_data() - Convert _AgentEvalData to TypedDict - Simplify check system: unified async pattern with isawaitable - Parallelize checks and evaluators with asyncio.gather - Add all/any mode to tool_called_check - Fix bool(passed) truthy bug in _coerce_result - Remove deprecated function_evaluator/async_function_evaluator aliases - Remove _MinimalAgent, tighten evaluate_agent signature - Set self.name in __init__ (LocalEvaluator, FoundryEvals) - Limit FoundryEvals to AsyncOpenAI only - Type project_client as AIProjectClient - Remove NotImplementedError continuous eval code - Add evaluation samples in 02-agents/ and 03-workflows/ - Update all imports and tests (167 passing) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: resolve mypy redundant-cast errors while keeping pyright happy Use cast(list[Any], x) with type: ignore[redundant-cast] comments to satisfy both mypy (which considers casting Any redundant) and pyright strict mode (which needs explicit casts to narrow Unknown types). Also fix evaluator decorator check_name type annotation to be explicitly str, resolving mypy str|Any|None mismatch. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: CI failures — pyupgrade, evaluator overloads, sample API, reset attr - Apply pyupgrade: Sequence from collections.abc, remove forward-ref quotes - Add @overload signatures to evaluator() for proper @evaluator usage - Fix evaluate_workflow sample to use WorkflowBuilder(start_executor=) API - Fix _workflow.py executor.reset() to use getattr pattern for pyright - Remove unused EvalResults forward-ref string in default_factory lambda Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: skip gRPC-dependent observability test The test_configure_otel_providers_with_env_file_and_vs_code_port test triggers gRPC OTLP exporter creation, but the grpc dependency is optional and not installed by default. Add skipif decorator matching the pattern used by all other gRPC exporter tests in the same file. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: add nosec B101 for bandit assert check Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * style: align eval samples with repo conventions - Move module docstrings before imports (after copyright header) - Add -> None return type to all main() and helper functions - Fix line-too-long in multiturn sample conversation data - Add Workflow import for typed return in all_patterns_sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback: async fixes, sample bugs, deprecation warnings - Simplify _ensure_async_result to direct await (async-only clients) - Replace get_event_loop() with get_running_loop() - Narrow _fetch_output_items exception handling to specific types - Add warning log when _filter_tool_evaluators falls back to defaults - Add DeprecationWarning to options alias in Agent.__init__ - Add DeprecationWarning to evaluate_response() - Rename raw key to _raw_arguments in convert_message fallback - Fix evaluate_agent_sample.py: replace evals.select() with FoundryEvals() - Fix evaluate_multiturn_sample.py: use Message/Content/FunctionTool types - Fix evaluate_workflow_sample.py: replace evals.select() with FoundryEvals() - Update test mocks to use AsyncMock for awaited API calls Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add test coverage for review feedback items - Add num_repetitions=2 positive test verifying 2×items and 4 agent calls - Add _poll_eval_run tests: timeout, failed, and canceled paths - Add evaluate_traces tests: validation error, response_ids path, trace_ids path - Add evaluate_foundry_target happy-path test with target/query verification Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix ruff ISC004 lint error and apply formatter - Wrap implicit string concatenation in parens in evaluate_multiturn_sample.py - Apply ruff formatter to 6 other files with minor formatting drift Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove core type changes (extracted to fix/workflow-stale-session branch) Reverts changes to _agents.py, _agent_executor.py, and _workflow.py back to upstream/main. These fixes are now in a separate PR. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review round 2: bugs, tests, and architecture Code fixes: - Fix _normalize_queries inverted condition (single query now replicates to match expected_count) - Fix substring match bug: 'end' in 'backend' matched; use exact set lookup for executor ID filtering - Fix used_available_tools sample: tool_definitions→tools param, use FunctionTool attribute access instead of dict .get() - Add None-check in _resolve_openai_client for misconfigured project - Add Returns section to evaluate_workflow docstring - Cache inspect.signature in @evaluator wrapper (avoid per-item reflection) Architecture: - Extract _evaluate_via_responses as module-level helper; evaluate_traces now calls it directly instead of creating a FoundryEvals instance - Move Foundry-specific typed-content conversion out of core to_eval_data; core now returns plain role/content dicts, FoundryEvals applies AgentEvalConverter in _evaluate_via_dataset Tests: - evaluate_response() deprecation warning emission and delegation - num_repetitions > 1 with expected_output and expected_tool_calls - Mock output_items.list in test_evaluate_calls_evals_api - Update to_eval_data assertions for plain-dict format - Unknown param error now raised at @evaluator decoration time Skipped (separate PR): executor reset loop, xfail removal, options alias Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix CI: revert test_full_conversation, fix pyright errors - Revert test_full_conversation.py to upstream/main (the session preservation test was incorrectly changed to assert clearing) - Fix pyright reportUnnecessaryComparison on get_openai_client() None check by adding ignore comment - Fix pyright reportPrivateUsage: add public EvalItem.split_messages() method and use it in FoundryEvals._evaluate_via_dataset instead of accessing private _split_conversation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review round 3: reliability, test gaps, cleanup - Add try/except guard for non-numeric score in _coerce_result - Add poll_interval minimum bound (0.1s) to prevent tight loops - Add runtime async client check in _resolve_openai_client - Remove _ensure_async_result wrapper (10 call sites → direct await) - Better error message when queries provided without agent - Import-time asserts for evaluator set consistency - Remove 28 redundant @pytest.mark.asyncio decorators - Add doc note about _raw_arguments sensitive data - Tests: tool_called_check mode=any, _normalize_queries branches, _extract_result_counts paths, _extract_per_evaluator, bare check via evaluate_agent, output_items assertion, modulo wrapping, async client check, queries-without-agent error Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix CI: ruff S101 assert, pyright and mypy arg-type errors - Replace module-level assert with if/raise for evaluator set consistency checks (ruff S101 disallows bare assert) - Add type: ignore[arg-type] and pyright: ignore[reportArgumentType] on OpenAI SDK evals API calls that pass dicts where typed params are expected (SDK accepts dicts at runtime) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review round 4: bugs, reliability, test fixes - Fix all_passed ignoring parent result_counts when sub_results present - Fix _extract_tool_calls: parse string arguments via json.loads before falling back to None (real LLM responses use string arguments) - Sanitize _raw_arguments to '[unparseable]' to avoid leaking sensitive tool-call data to external evaluation services - Add NOTE comment on to_eval_data message serialization dropping non-text content (tool calls, results) - Eliminate double conversation split in _evaluate_via_dataset: build JSONL dicts directly from split_messages + AgentEvalConverter - Raise poll_interval floor from 0.1s to 1.0s to prevent rate-limit exhaustion - Fix MagicMock(name=...) bug in test: sets display name not .name attr - Fix mock_output_item.sample: use MagicMock object instead of dict so _fetch_output_items exercises error/usage/input/output extraction Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review round 5: reliability, docs, test coverage Code fixes: - Move import-time RuntimeError checks to unit tests (avoids breaking imports for all users on developer set-drift mistake) - _filter_tool_evaluators now raises ValueError when all evaluators require tools but no items have tools (was silently substituting) - Add poll_interval upper bound (60s) to prevent single-iteration sleep - Log exc_info=True in _fetch_output_items for debugging API changes - Fix evaluate() docstring: remove claim about Responses API optimization - Validate target dict has 'type' key in evaluate_foundry_target - Document to_eval_data() limitation: non-text content is omitted Tests: - TestEvaluatorSetConsistency: verify _AGENT/_TOOL subsets of _BUILTIN - TestEvaluateTracesAgentId: agent_id-only path with lookback_hours - TestFilterToolEvaluatorsRaises: ValueError on all-tool no-items - TestEvaluateFoundryTargetValidation: target without 'type' key - Assert items==[] on failed/canceled poll results - Mock output_items.list in response_ids test for full flow - TestAllPassedSubResults: result_counts=None + sub_results delegation and parent failures override sub_results - TestBuildOverallItemEmpty: empty workflow outputs returns None Skipped r5-07 (_raw_arguments length hint): marginal debugging value, could leak content size information. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix error message: evaluate_responses() → evaluate_traces(response_ids=...) The referenced function doesn't exist; the correct API is evaluate_traces(response_ids=...) from the azure-ai package. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove dead to_eval_data() method, fix docstring claims - Remove to_eval_data() from EvalItem (dead code after r4-05 JSONL refactor) - Migrate 15 tests from to_eval_data() to split_messages() - Update sample to use split_messages() + Message properties - Remove unimplemented Responses API optimization docstring claim - Update split_messages() docstring to not reference removed method Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Reduce default eval timeout from 600s to 180s (3 minutes) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove dead _evaluate_via_responses method from FoundryEvals The method was never called — evaluate() uses _evaluate_via_dataset, and evaluate_traces() calls _evaluate_via_responses_impl directly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Revert unrelated formatting changes to get-started samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright: remove phantom FoundryMemoryProvider import, apply ruff format - Remove import of non-existent _foundry_memory_provider module (incorrectly kept during rebase conflict resolution) - Apply ruff formatter to test_local_eval.py and get-started samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix eval samples: use FoundryChatClient for Agent() The upstream provider-leading client refactor (#4818) made client= a required parameter on Agent(). Update the three getting-started eval samples to use FoundryChatClient with FOUNDRY_PROJECT_ENDPOINT, matching the standard pattern from 01-get-started samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify self-reflection sample using FoundryEvals Replace ~80 lines of manual OpenAI evals API code (create_eval, run_eval, manual polling, raw JSONL params) with FoundryEvals: - evaluate_groundedness() uses FoundryEvals.evaluate() with EvalItem - Remove create_openai_client(), create_eval(), run_eval() functions - Remove openai SDK type imports (DataSourceConfigCustom, etc.) - run_self_reflection_batch creates FoundryEvals instance once, reuses it for all iterations across all prompts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update eval samples to FoundryChatClient and FOUNDRY_PROJECT_ENDPOINT - Migrate all foundry_evals samples from AzureOpenAIResponsesClient to FoundryChatClient - Update env var from AZURE_AI_PROJECT_ENDPOINT to FOUNDRY_PROJECT_ENDPOINT - Use AzureCliCredential consistently across all samples - Fix README.md: correct function names (evaluate_dataset -> FoundryEvals.evaluate, evaluate_responses -> evaluate_traces) - Update self_reflection .env.example and README.md Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix lint errors in eval samples (E501, ASYNC240, formatting) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove evaluate_all_patterns_sample.py (redundant with focused samples) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix async credential mismatch: use azure.identity.aio for async AIProjectClient AIProjectClient from azure.ai.projects.aio requires an async credential. Switch all foundry_evals samples from azure.identity.AzureCliCredential to azure.identity.aio.AzureCliCredential. Also pass project_client to FoundryChatClient instead of duplicating endpoint+credential. Close credential in self_reflection sample to avoid resource leak. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Revert test_observability.py to upstream/main (not our test) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address moonbox3 review: sphinx docstrings, pagination, isinstance check - Convert all Example:: / Typical usage:: code blocks to .. code-block:: python format matching codebase convention (both _evaluation.py and _foundry_evals.py) - Add async pagination in _fetch_output_items via async for (handles large result sets) - Replace hasattr(__aenter__) with isinstance(client, AsyncOpenAI) in _resolve_openai_client - Move AsyncOpenAI import from TYPE_CHECKING to runtime (needed for isinstance) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix test failures and address remaining moonbox3 review comments - Fix tests: use MagicMock(spec=AsyncOpenAI) for project_client mocks (isinstance check now requires proper type, not duck-typing) - Fix tests: replace mock_page.__iter__ with _AsyncPage helper for async for - Fix evaluate_response: auto-extract queries from response messages when query is not provided (previously always raised ValueError) - Add debug logging when skipping internal _-prefixed executor IDs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address Tao's PR review comments on Foundry Evals - T1: Add comment explaining builtin.* pass-through in _resolve_evaluator - T2: Add comment referencing OpenAI evals API for testing_criteria dict - T3: Document Mustache-style {{item.*}} template placeholders - T4: Document poll loop 60s sleep upper bound rationale - T5: Narrow run type to RunRetrieveResponse, use typed field access instead of vars()/getattr dance in _extract_result_counts and _extract_per_evaluator; use run.error and run.report_url directly - T6: Clarify openai_client docstring re: Azure Foundry endpoint - T8: Remove misleading empty expected_tool_calls from sample - Update tests to match real SDK PerTestingCriteriaResult shape Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove unnecessary Any union from run type annotations RunRetrieveResponse is the correct type — no backward compat needed for a brand new feature. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Accept FoundryChatClient instead of raw AsyncOpenAI FoundryEvals now takes client: FoundryChatClient as its primary parameter instead of openai_client: AsyncOpenAI. The builtin.* evaluators require a Foundry endpoint, so the type should reflect that. - FoundryEvals.__init__: client: FoundryChatClient replaces openai_client - evaluate_traces / evaluate_foundry_target: same change - _resolve_openai_client: extracts .client from FoundryChatClient - project_client fallback retained for standalone functions - All samples updated to construct FoundryChatClient and pass as client= - Tests updated (openai_client= → client=) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove implicit 60s upper bound on poll interval If a developer sets a higher poll_interval, respect it. Only clamp to remaining time and enforce a 1s minimum for rate-limit protection. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove 1s floor on poll interval — let the developer control it Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update python/samples/05-end-to-end/evaluation/foundry_evals/.env.example Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Update python/samples/02-agents/evaluation/evaluate_agent.py Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Address eavanvalkenburg review (round 2) on Python eval PR - Rename model_deployment -> model across FoundryEvals and all samples - Make model param optional, resolves from client.model - Convert EvalResults from dataclass to regular class - Remove deprecated evaluate_response() function - Refactor splitters: BUILT_IN_SPLITTERS dict + standalone functions - Change per_turn_items from classmethod to staticmethod - Simplify EvalCheck type alias to use Awaitable[CheckResult] - Remove errored property from EvalResults - Remove default value from Evaluator protocol eval_name - Rename assert_passed -> raise_for_status, add EvalNotPassedError - Type agent param as SupportsAgentRun | None - Fix Arguments docstring - Update __init__.py exports - Update all tests and samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Move FoundryEvals to foundry package, split tool eval sample - Move _foundry_evals.py from azure-ai to foundry package - Move test_foundry_evals.py to foundry/tests/ - Update lazy re-exports in agent_framework.foundry namespace - Update .pyi type stubs - All samples now import from agent_framework.foundry - Split tool-call evaluation into evaluate_tool_calls_sample.py - Fix all_passed to check errored count from result_counts - Fix raise_for_status to include errored item details Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Auto-create FoundryChatClient from env vars when no client provided FoundryEvals() now works zero-config when FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL environment variables are set. Auto-creates a FoundryChatClient under the hood, matching the established env var pattern. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright errors: remove dead _normalize_queries, suppress EvalAPIError check - Remove unused _normalize_queries function and its tests - Add pyright ignore for EvalAPIError None check (defensive guard) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Support multimodal image content in eval pipeline Add image (data/uri) content handling to AgentEvalConverter.convert_message() so that Content.from_data() and Content.from_uri() image payloads are preserved as input_image parts in the Foundry evaluator format. - Handle Content type='data' and type='uri' → emit input_image parts - Add 6 unit tests for image content through convert_message/convert_messages - Add integration test verifying images flow through EvalItem → JSONL path - Add evaluate_multimodal.py sample demonstrating local image eval Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address remaining review comments - Fix project_client docstring to say async-only (not sync/async) - Add builtin evaluator name validation warning in _resolve_evaluator - Replace getattr with typed attribute access in _poll_eval_run, _extract_result_counts, _extract_per_evaluator, _fetch_output_items - Remove cast import from _foundry_evals (no longer needed) - Tighten _coerce_result: honour explicit 'passed' when both 'score' and 'passed' are present; remove performative cast - Fix self_reflection sample: add env file existence check - Fix traces sample: correct Pattern 2 section label - Update all Foundry eval samples to FoundryChatClient + FOUNDRY_MODEL (remove AIProjectClient + AZURE_AI_MODEL_DEPLOYMENT_NAME pattern) - Add eval_name and OpenAI client docs to FoundryEvals docstring - Update test mocks to match typed SDK objects (_MockResultCounts) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix ruff lint errors (E501, SIM108, SIM102) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright errors: type-narrow dict to dict[str, Any], add ignore comments Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Replace ConversationSplitter type alias with Protocol ConversationSplitter is now a runtime-checkable Protocol with a named 'conversation' parameter, making the expected signature self-documenting. ConversationSplit enum members gain a __call__ method so they satisfy the protocol directly -- ConversationSplit.LAST_TURN(conversation) works. This simplifies _split_conversation from an isinstance dispatch to a single split(conversation) call. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Standardize on AZURE_AI_MODEL_DEPLOYMENT_NAME and fix Unicode in samples - Replace FOUNDRY_MODEL with AZURE_AI_MODEL_DEPLOYMENT_NAME in all eval samples to match repo convention - Replace Unicode symbols with ASCII equivalents in all eval sample print statements to avoid cp1252 encoding errors on Windows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update python/samples/03-workflows/evaluation/evaluate_workflow.py Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Rename ADR 0020 to 0023 (foundry evals integration) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: alliscode <bentho@microsoft.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> |
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b1b528e4a8 |
Python: [BREAKING] Remove deprecated kwargs compatibility paths (#4858)
* [BREAKING] Remove deprecated kwargs compatibility paths Remove the deprecated kwargs compatibility shims across core agents, clients, tools, middleware, and telemetry. Keep workflow kwargs behavior intact in this branch and follow up separately in #4850. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix PR CI fallout for kwargs removal Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updates * Fix Azure AI CI fallout Remove the stale _get_current_conversation_id override from the Azure AI client after the OpenAI base helper was deleted. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixed new classes * Fix Assistants deprecated import gating Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix integration replay regressions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Switch multi-agent hosting samples to Azure chat completions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify Azure multi-agent sample config Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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cc0cfaaac8 |
[BREAKING] Python: fix OpenAI Azure routing and provider samples (#4925)
* Python: fix OpenAI Azure routing and provider samples Prefer OpenAI when OPENAI_API_KEY is present unless Azure is explicitly requested. Clarify constructor docs, keep deprecated Azure wrappers compatible with stricter settings validation, and refresh the provider samples and tests to use the current client patterns. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix bandit * Python: align OpenAI embedding Azure routing Extend the shared OpenAI-vs-Azure routing and credential behavior to the embedding client, add Azure embedding regression coverage, and refresh the embedding samples to use the generic client path. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix embedding client pyright check Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: thin OpenAI embedding wrapper Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: document embedding overload routing Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix callable OpenAI key routing Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix Azure credential routing tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: address OpenAI review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: narrow Azure routing markers Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: refine OpenAI model fallback order Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: narrow Azure deployment docs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: remove embedding routing wording Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: run embedding Azure integration tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * changed variable name * Python: expand OpenAI package README Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * clarified readme * Python: fix Azure OpenAI integration setup Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: correct Azure integration env mapping Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated code to fix int tests * test updates * test fix * fix test setup * updates to tests and setup * remove openai assistants int tests * improvements in int tests * fix env var * fix env vars * fix azure responses test * trigger actions --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van ValkenburgandGitHub
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c012aac5f2 |
Python: [BREAKING] Reduce core dependencies and simplify optional integrations (#4904)
* improved dependencies and some fixes * fix for mypy * improve mcp |
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5e056b672e |
Python: [BREAKING] Python: Provider-leading client design & OpenAI package extraction (#4818)
* Python: Provider-leading client design & OpenAI package extraction Major refactoring of the Python Agent Framework client architecture: - Extract OpenAI clients into new `agent-framework-openai` package - Core package no longer depends on openai, azure-identity, azure-ai-projects - Rename clients for discoverability: OpenAIResponsesClient → OpenAIChatClient, OpenAIChatClient → OpenAIChatCompletionClient - Unify `model_id`/`deployment_name`/`model_deployment_name` → `model` param - New FoundryChatClient for Azure AI Foundry Responses API - New FoundryAgent/FoundryAgentClient for connecting to pre-configured Foundry agents - Remove OpenAIBase/OpenAIConfigMixin from non-deprecated client MRO - Deprecate AzureOpenAI* clients, AzureAIClient, OpenAIAssistantsClient - Reorganize samples: azure_openai+azure_ai+azure_ai_agent → azure/ - ADR-0020: Provider-Leading Client Design Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: missing Agent imports in samples, .model_id → .model in foundry_local sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: CI failures — mypy errors, coverage targets, sample imports - azure-ai mypy: add type ignores for TypedDict total=, model arg, forward ref - Coverage: replace core.azure/openai targets with openai package target - project_provider: add type annotation for opts dict Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: populate openai .pyi stub, fix broken README links, coverage targets Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixes * updated observabilitty * reset azure init.pyi * fix errors * updated adr number * fix foundry local * fixed not renamed docstrings and comments, and added deprecated markers to old classes * fix tests and pyprojects * fix test vars * updated function tests * update durable * updated test setup for functions * Fix Foundry auth in workflow samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Stabilize Python integration workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update hosting samples for Foundry Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger full CI rerun Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger CI rerun again Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * trigger rerun * trigger rerun * fix for litellm * undo durabletask changes * Move Foundry APIs into foundry namespace Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Foundry pyproject formatting Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split provider samples by Foundry surface Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Restore hosting sample requirements Also fix the Foundry Local sample link after the provider sample move. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated tests * udpated foundry integration tests * removed dist from azurefunctions tests * Use separate Foundry clients for concurrent agents Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix client setup in azfunc and durable * disabled two tests * updated setup for some function and durable tests * improved azure openai setup with new clients * ignore deprecated * fixes * skip 11 * remove openai assistants int tests --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van ValkenburgandGitHub
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9355329dfd |
Python: [BREAKING] updated structure and samples (#875)
* updated structure and samples * updated names and removed cross tests * updated projects etc * updated tests * updated test * test fixes * removed devui for now * updated all-tests task * removed old style configs * remove coverage from tests * updated to unit tests with all-tests * updated foundry everywhere * fix azure ai tests * fix merge tests * fix mypy |
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Eduard van ValkenburgandGitHub
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9eb68ab2f9 |
Python: additional Foundry Tools (#611)
* initial work on additional foundry tools * fixes * fix tests * fix import * updated lock * added hosted MCP for foundry * fixes * fix for test * updated samples * fix result parsing |
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Eduard van ValkenburgandGitHub
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2576e7a091 |
Python: Telemetry and observability follow-up (#833)
* updated telemetry work * updated telemetry * slight improvement * updated tests * fixes for telemetry * fixes for mypy * added settings setup to runner to avoid error * streamline usage * updated tests * updated tests * further refinement * fix dumped item for otel * removed enable_workflow_otel * final fixes * final fixes * updated samples * removed exporters * fix tests * fixed last import' * fixed devui |
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Eduard van ValkenburgandGitHub
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89cb94b5c2 | replaced HEADERS with user_agent (#732) | ||
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Evan MattsonandGitHub
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d00538eb26 | Foundry client ToolOutput to FunctionToolOutput (#749) | ||
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82ca4065cb |
Python: Improved telemetry setup (#421)
* test with stack and simplified names * quick demo of agent decorator * moved builder to protocol to enhance functionality * undid chatclientAgent -> agent rename * one more * reverted AIAgent rename * final reverts * fixed foundry import * revert changes * streamlined otel and fcc decorators * cleanup of telemetry * further refinement * lots of updates * fixed typing * fix for mypy * added input and output atttributes * fix import * initial work on baking in otel * major update to telemetry * final fixes after rename * fix * fix test * updated tests * fix for tests * fixes for tests * updated based on comments * removed agent decorator * fix for Python: ServiceResponseException when using multiple tools Fixes #649 * addressed comments * fix tests * fix tests * fix tools tests * fix for conversation_id in assistants client * fix responses test * fix tests and mypy * updated test * foundry fix --------- Co-authored-by: Chris <66376200+crickman@users.noreply.github.com> |
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Eduard van ValkenburgandGitHub
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947f2bf642 |
Python: added user agents to foundry and azure openai (#658)
* added user agents to foundry and azure openai * improvement * improvement for disabled setup |
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Eduard van ValkenburgandGitHub
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40ab6e9d67 |
Python: name changes executed (#607)
* name changes executed * updated adr to accepted * renamed openai base config * renamed openai config to mixin * added renames in user docs * reverted mcperror * fix tests * remove sse from tests |
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 Dmytro StrukandGitHub
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0c28935382 |
Python: Improved exception messages in client initialization (#539)
* Improved exception messages in client initialization * Fixed tests |
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Dmytro StrukandGitHub
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fa88641263 |
Python: Removed DefaultAzureCredential (#490)
* Removed DefaultAzureCredential * Renamed ad_credential to credential |
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Dmytro StrukandGitHub
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dea736e550 |
Python: Thread storage and serialization (#394)
* Updates for message store support * Added unit tests * Added suspend-resume example * Added example with custom chat message store * Small fix * Addressed PR feedback * Renaming and documentation * More renaming * Addressed more PR feedback * Small fixes in Foundry chat client and examples * Small update * Addressed PR feedback * Increased timeout for Azure tests |
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Dmytro StrukandGitHub
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95cb20ca40 | Small fix in Foundry chat client and samples (#407) | ||
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Eduard van ValkenburgandGitHub
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df9d85d1f0 |
Python: openai updates (#388)
* openai updates * rebuild of openai structure * updated responses structure * renamed sample * added file id support to code interpreter * added hosted file ids to code interpretor * mypy fixes * removed default az cred from codebase * updated agent name setup * added kwargs to entra methods * and further kwargs * extra comment * updated all samples * readded custom get methods for responses * updated int tests with ad credential * missed one |
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Eduard van ValkenburgandGitHub
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c39845d473 |
Python: small fixes in foundry (#297)
* small fixes in foundry * other samples updated * make it optional * added instructions and response format to create agent * mypy fix * shortened main readme and improved python readme |
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Dmytro StrukandGitHub
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75794b4687 |
Python: OpenAI Assistants Chat Client and Agent (#288)
* Initial version of assistant client
* More updates to assistant client
* Finished assistant chat client implementation
* Small fixes and basic example
* Added code interpreter example
* More examples
* Added chat client example
* Small fixes
* Added tests
* Enabled telemetry
* Small fix
* Removed files temporarily
* Revert "Removed files temporarily"
This reverts commit
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Eduard van ValkenburgandGitHub
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42c7a59640 |
Python: updated doc generation setup and some slight api enhancements (#267)
* updated doc generation setup and some slight api enhancements * small fix in index |
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Eduard van ValkenburgandGitHub
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1ed89d4db8 |
Python: updated API in sync with dotnet (#269)
* updated API in sync with dotnet * fix test * updated name and display_name * fixed mypy setup * add pre-commit cache |
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Eduard van ValkenburgandGitHub
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dff700e469 | added telemetry decorators to other chat clients (#255) | ||
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Eduard van ValkenburgandGitHub
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0ce8eb1e2f |
Python telemetry (#223)
* initial work on telemetry * moved tool operation const * missing quotes * working otel with samples * updated readme and other assets * added tests * added tests * small updates * updated genaiattributes docs * updated tests * additional warning * cleanup of tests |
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Dmytro StrukandGitHub
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14efb626ab |
Python: Added fixes and more examples for Foundry agent (#217)
* Added non-streaming and streaming examples * Updated resource management * Added examples with thread management * Added function tools examples * Small rename * Added code interpreter example * Updated example * Addressed PR feedback * Addressed PR feedback |
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Eduard van ValkenburgandGitHub
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27f7af2160 |
Python: moved prepare tools into class (#215)
* moved prepare tools into class * moved test * changed tool handling * fix test * second fix |