feature/python-subworkflow-checkpoint
32 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Chinedum Echeta
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217912a2c0 |
Python: Support async credentials in FoundryToolbox (#7208)
* Python: Support async credentials in `FoundryToolbox` * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * Refactor: Use AzureCredentialTypes for credential type annotations in Toolbox classes * Remove auth_flow method from _ToolboxAuth class --------- Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> |
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pratik wayase
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0841116330 |
Python: fix(foundry_hosting): preserve auth credentials across FoundryToolbox reconnections (#7202)
* fix(foundry_hosting): preserve auth credentials across FoundryToolbox reconnections * Address copilot comments * fix syntax check * Fix tests * Fix formatting * Fix formatting --------- Co-authored-by: Tao Chen <taochen@microsoft.com> |
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Evan Mattson
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a2927c1c09 |
Python: Fix stateless replay of reasoning-paired tool calls (#7233)
* Python: Fix reasoning-paired client tool replay * Python: Handle middleware-terminated reasoning tool loops * Python: Replay encrypted reasoning function groups Key decisions: - Request encrypted reasoning on client-managed Responses calls while preserving caller include values. - Store encrypted payloads in Content.protected_data and reconstruct one provider reasoning item per reasoning id. - Replay active and completed function call/result groups; retain continuation-owned history behavior and the existing orphan-safe MCP path. Files changed: - python/packages/openai/agent_framework_openai/_chat_client.py - python/packages/openai/tests/openai/test_openai_chat_client.py Next iteration: - Extend encrypted reasoning preservation to streaming and framework serialization boundaries. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Preserve encrypted reasoning through streaming Key decisions: - Capture encrypted reasoning from terminal streamed output items in Content.protected_data. - Preserve summary and private reasoning as distinct framework contents while reconstructing one provider reasoning item per id. - Prove replay after Message JSON and workflow checkpoint round trips, including encrypted-only and completed function groups. Files changed: - python/packages/core/agent_framework/_types.py - python/packages/openai/agent_framework_openai/_chat_client.py - python/packages/openai/tests/openai/test_openai_chat_client.py Next iteration: - Extend lossless stateless reasoning replay to hosted MCP call/output groups. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Replay hosted MCP reasoning groups Key decisions: - Preserve hosted MCP call/output groups in client-managed history instead of deleting them when reasoning cannot be reconstructed. - Keep call/result coalescing and orphan-result exclusion intact, while retaining continuation-owned duplicate avoidance. - Cover completed, active, and multi-call reasoning groups plus the public outgoing request boundary. Files changed: - python/packages/openai/agent_framework_openai/_chat_client.py - python/packages/openai/tests/openai/test_openai_chat_client.py Next iteration: - Preserve middleware-terminated and parallel function groups atomically. - Add preflight rejection for non-replayable reasoning groups in the dedicated validation slice. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Preserve terminated parallel reasoning groups Key decisions: - Return ordinary function results when middleware terminates a loop, removing the provider-specific durable marker. - Preserve every parallel call and available sibling result as one encrypted reasoning group in stateless replay. - Prove successful and policy-blocked batches through the public two-agent Foundry workflow and outgoing HTTP boundary. Files changed: - python/packages/core/agent_framework/_tools.py - python/packages/core/tests/core/test_function_invocation_logic.py - python/packages/openai/tests/openai/test_openai_chat_client.py - python/packages/foundry/tests/foundry/test_foundry_agent.py Next iteration: - Add preflight rejection for non-replayable and partially compacted reasoning groups. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Reject unsafe stateless reasoning replay Key decisions: - Validate client-managed reasoning groups after compaction and report every affected reasoning and call identifier before transport. - Permit service-owned continuation and fully excluded atomic groups while rejecting partial compaction projections. - Surface encrypted-reasoning capability failures without lossy retries. Files changed: - python/packages/openai/agent_framework_openai/_chat_client.py - python/packages/openai/tests/openai/test_openai_chat_client.py Next iteration: - Run the resource-specific Foundry proof and finish PR #7233; that live proof remains intentionally local and requires the configured developer resource. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Preserve reasoning metadata in Foundry hosting * Python: Avoid duplicating reasoning text metadata * Python: Gate encrypted reasoning for Foundry agents * Python: Type stateless reasoning integration test * Python: Narrow Foundry mock call arguments --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Tao Chen
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848443ac68 |
[BREAKING] Python: Ensure session isolation for FHA invocation impl (#7158)
* Ensure session isolation for FHA invocation impl * Fix type check errors * Add user isolation to sample |
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Giles Odigwe
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1466d68cf1 |
Python: make FoundryToolbox.as_skills_provider() disable_caching effective (#7135)
* Python: make FoundryToolbox.as_skills_provider() disable_caching effective as_skills_provider() forwarded disable_caching to SkillsProvider, which ignores it for a caller-supplied SkillsSource, so it was a no-op and the toolbox re-read skill://index.json on every agent run. Compose caching in as_skills_provider() instead: wrap the context-independent _FoundryToolboxSkillsSource in DeduplicatingSkillsSource(CachingSkillsSource(...)). Add a cache_refresh_interval param, fix the docstring, and add tests covering cached, disabled, and refresh-interval behavior. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 84150ec4-6f7c-4ef8-b9fb-12fa11652773 * Clarify caller-invariant skill-set wording in as_skills_provider docs Emphasize that the toolbox advertises the same skill set to every caller (the per-request call-id governs execution/authorization, not which skills are listed) rather than leaning on 'ignores SkillsSourceContext'. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 84150ec4-6f7c-4ef8-b9fb-12fa11652773 * Make MCP skills reconnect-safe via session_provider Cached MCPSkill objects captured the MCP ClientSession at construction, so after a FoundryToolbox reconnect (which replaces its session) load_skill and read_skill_resource would fail against the closed session. This regressed once as_skills_provider() started caching discovery by default. Add an optional session_provider callable to MCPSkillsSource and MCPSkill (exactly one of client or session_provider). When supplied, the session is resolved on every fetch, mirroring how MCPTool resolves self.session live at call time. _FoundryToolboxSkillsSource now passes a provider that returns the toolbox's current session, so cached skills always use the live session. The fixed client= path is unchanged and backward-compatible. Update core tests, foundry_hosting tests, and core AGENTS.md. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 84150ec4-6f7c-4ef8-b9fb-12fa11652773 * Fix ty error: type captured session_provider as Callable in test ty could not call the provider narrowed from \object\ (Top callable). Type the captured value as Callable[[], object] and drop the redundant callable() assert. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 84150ec4-6f7c-4ef8-b9fb-12fa11652773 * Simplify _resolve_mcp_session_provider per review Address review feedback: replace the dense (client is None) == (session_provider is None) guard with explicit branches, and drop the cast by binding the narrowed client to a typed local. Keeps strict 'exactly one' semantics (raises on both and on neither), matching the codebase convention (e.g. security.py mcp_tool/url). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 84150ec4-6f7c-4ef8-b9fb-12fa11652773 * Add PR #7135 entries to the 1.12.0 changelog Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 84150ec4-6f7c-4ef8-b9fb-12fa11652773 * Drop redundant @pytest.mark.asyncio from MCP skills tests asyncio_mode is 'auto', so the marker is unnecessary. Remove it from the whole file for consistency with the async-by-default convention. Per review feedback. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 84150ec4-6f7c-4ef8-b9fb-12fa11652773 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Giles Odigwe
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56e9a8f74c |
Python: Make foundry toolbox MCP skills sample self-contained (#7099)
* Python: Make foundry toolbox MCP skills sample self-contained Rework sample 12 (foundry_toolbox_mcp_skills) so users can build it from zero with azd, mirroring samples 04 and 09: - Bundle two single-file SKILL.md skills (support-style, escalation-policy) and a skills-only toolbox.yaml (with one connectionless code_interpreter tool, required by `azd ai toolbox create`). - Rewrite the README as an azd-native, from-zero guide (create skills -> create toolbox -> set TOOLBOX_ENDPOINT -> run) and fix the stale MCPSkillsSource API description to match main.py. - Switch config from TOOLBOX_NAME to the versioned TOOLBOX_ENDPOINT (.env.example, agent.yaml, agent.manifest.yaml); add .azdignore. Also enable the sample to run unattended behind ResponsesHostServer: - Forward disable_load_skill_approval / disable_read_skill_resource_approval / disable_run_skill_script_approval from FoundryToolbox.as_skills_provider() to the underlying SkillsProvider, so load_skill needs no approval round-trip (the Responses host runs without an AgentSession, which the default approval flow requires). main.py now uses as_skills_provider(disable_load_skill_approval=True). - Add unit tests covering the default and overridden approval behaviour. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 4f14f83d-1868-45c1-be1a-12f49a58ac36 * Python: Address PR review on toolbox MCP skills sample - Remove the unused parameters section from agent.manifest.yaml (TOOLBOX_ENDPOINT is supplied via environment_variables, matching sample 04). - README: state the sample is self-contained directly instead of contrasting with the C# sample. - README: describe skill discovery behaviour without naming the internal MCPSkillsSource class. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 4f14f83d-1868-45c1-be1a-12f49a58ac36 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Nick Brady
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54617557e6 |
Update Foundry branding (#6999)
Replace user-facing Azure AI Foundry branding with Microsoft Foundry across docs, samples, comments, and display text while preserving technical identifiers. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> |
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Ethan qu
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978cfcd9e4 |
Python: Fix Foundry reasoning MCP compaction (#6907)
* Fix Foundry reasoning MCP compaction * Address reasoning MCP review feedback --------- Co-authored-by: godququ5-code <256881196+godququ5-code@users.noreply.github.com> Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> |
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Eduard van Valkenburg
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346d3f0820 |
Python: Mark hosted tool calls informational-only (#6997)
* Python: Mark hosted tool calls informational-only Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Address informational-only review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Preserve approval responses in tool invocation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Evan Mattson
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12b029858e |
Build(deps): consolidate Dependabot dependency updates (#6984)
* Consolidate Dependabot dependency updates * Restore method assignment suppression |
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Giles Odigwe
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9c4cd07899 |
Python: Add SkillsSourceContext to SkillsSource.get_skills (#6895)
* Python: Add SkillsSourceContext to SkillsSource.get_skills Thread an invocation context (agent + optional session) through the skill source pipeline so sources and decorators can make context-aware decisions. - Add frozen, experimental SkillsSourceContext(agent, session). - Change SkillsSource.get_skills and all sources/decorators to accept and forward the context. - Make FilteringSkillsSource predicate context-aware: (skill, context) -> bool. - Add optional cache_isolation_key_selector to CachingSkillsSource for per-key cache isolation (None keeps the shared-bucket behavior). - Build the context in SkillsProvider from before_run agent/session. - Update foundry_hosting toolbox source, exports, tests, and docs. Python port of .NET PR #6797. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Clarify skills source docstring examples Address PR review: docstring examples referenced `context` without constructing it. Add a `SkillsSourceContext` construction line (with a placeholder agent) to each source example and a note that the provider normally supplies it. Use `source_context` in the FilteringSkillsSource example to avoid clashing with the predicate's `context` parameter. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix CI type errors and skill_filtering sample predicate Address CI failures from the SkillsSourceContext change: - Update the skill_filtering sample to the 2-arg predicate signature (skill, context); the old 1-arg lambda would fail at runtime. - Replace ad-hoc _StubAgent test stubs with the shared MockAgent / MockAgentSession from conftest so all type checkers (incl. ty) accept the SupportsAgentRun-typed agent. Add a small _NamedMockAgent subclass for tests needing distinct agent names, and drop now-unnecessary attr-defined ignores. - Use cast(SupportsAgentRun, ...) in foundry_hosting tests, which have no shared mock infrastructure. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Make SkillsProvider caching safe-by-default; clarify context docstrings Address PR review comments: - Do not auto-wrap a caller-supplied SkillsSource in the provider's default CachingSkillsSource. A shared, unkeyed cache around a context-aware source replays the first invocation's skills for later SkillsSourceContexts, leaking skills across agents/tenants. Default caching now applies only to the built-in, context-independent file/in-memory leaf sources (Deduplicating(Caching(leaf))), matching the .NET provider. Callers who want caching on a custom pipeline compose CachingSkillsSource (optionally with a cache_isolation_key_selector) themselves. disable_caching now only affects the built-in leaves. Adds a leak-prevention test. - Reword the misleading "Unused by this source" context docstrings on the File/InMemory/MCP sources: the param is part of the get_skills contract; these sources just return the same skills regardless of context. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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0260ea0e61 |
Python: implement ADR-0029 service_session_id lifecycle mapping (#6724)
* python: implement ADR-0029 service_session_id lifecycle mapping - Extend AgentSession service_session_id to support structured values - Add agent-owned conversation id extraction for chat forwarding and telemetry - Migrate A2A durable continuation state to A2AServiceSessionId - Keep A2AAgentSession as compatibility shim and mark it deprecated - Update core/a2a tests and package guidance Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix service_session_id type fallout across packages Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix remaining test typing signatures for service_session_id Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix hosting test stubs for widened get_session type Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix remaining test stubs for get_session union type Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify A2A session state handling Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix import * Fix hosting-telegram test get_session typing Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Tao Chen
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7f3a2aec38 |
[BREAKING] Python: Foundry Hosted Agent V2 protocol upgrade (#6811)
* Upgrade to FHA protocol v2 + toolbox integration
* Scope checkpoints and approval storage by user id
* Add toolbox skills integration
* Fix formatting
* Add httpx lower and upper bound
* Update foundry-hosting package version
* Remove custom http client
* Revert "Remove custom http client"
This reverts commit
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Eduard van Valkenburg
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6e95517659 |
Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) (#6443)
* Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) Rework the typing setup along the lines of the 'too many type checkers' approach: - Pyright (strict) is now the sole source-code type checker; mypy is removed from source and its [tool.mypy] block becomes a relaxed profile used only for tests/samples. - Tests are checked by all five checkers (pyright relaxed, mypy, pyrefly, ty, zuban); samples by pyright, pyrefly, and ty. All run in a relaxed/ basic profile so authors aren't forced into over-annotation. - Add pyrightconfig.tests.json and bump sample pyright configs to basic. - Unify test/sample typing onto the same parallel fan-out used by source pyright via run_command_items in task_runner.py. - Make version-conditional imports symmetric: keep or drop the '# type: ignore' on both branches so results match across interpreter versions (local vs CI). - Update SKILL.md, DEV_SETUP.md, and CODING_STANDARD.md for the five gating checkers and pyright on source+tests+samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix merge regressions from main (typing + runtime) Merging main into the type-checker split branch surfaced regressions that the new five-checker test suite and unit tests caught: Runtime fixes: - anthropic: restore the dropped `cache_read_input_token_count` mapping in _parse_usage_from_anthropic (lost during merge conflict resolution). - gemini: _get_function_calling_mode test helper returned str(enum) ('FunctionCallingConfigMode.AUTO') instead of the enum value ('AUTO'). - openai: _response_id_from_token test helper was an infinite self-recursion; return token['response_id']. - orchestrations: reset output_events per approval iteration so the terminal output assertion counts only the final run. - core: drop a stale duplicate harness test whose message ('non-negative') contradicted the source ('positive'). - purview: import PolicyLocation/PolicyScope/ProtectionScopeActivities/ ExecutionMode used by the processor tests. Type-checker fixes (tests, relaxed profile): - core: pyright/mypy/pyrefly/ty/zuban green-ups across the harness, MCP, observability and types tests. - anthropic/openai: route provider-namespaced UsageDetails keys through a dict cast (extra_items TypedDict unsupported by mypy/ty). - purview: typed model constructors and cache-mock casts. - ag-ui: annotate WorkflowContext[Any, Any] so yield_output accepts test payloads, guard Optional forwarded_props, and ty-ignore intentional bad args. Source pyright (sole source checker) flagged unnecessary ignores newly introduced by merged code in core _tools.py and declarative _declarative_base.py. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Isolate per-package mypy cache in test-typing fan-out The parallel test-typing fan-out runs many mypy processes concurrently, all defaulting to a single shared ./.mypy_cache. Concurrent writes corrupt the cache and mypy aborts with INTERNAL ERROR (intermittently, depending on worker timing) -- which is why CI's Test Typing job failed on a shifting set of packages while a single-package run was fine. Give each mypy invocation an isolated cache dir keyed by its target paths so incremental caching still works per package without races. Other checkers (zuban/pyrefly/ty/pyright) maintain their own caches and are unaffected. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Make lab pyright-only on source (drop source mypy) Lab was the last package still running mypy on its source code, requiring mypy-only `# type: ignore` comments that pyright (the sole source checker everywhere else) flags as unnecessary. Align lab with the rest of the monorepo: - Remove the lab source mypy poe tasks (mypy-gaia/lightning/tau2) and the now-dead strict [tool.mypy] config block. - Drop the 'Run lab mypy' CI step; lab source is type-checked by pyright only. Lab tests remain covered by the workspace test-typing fan-out (mypy, pyrefly, ty, zuban, pyright over tests using the relaxed root config). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix test-typing regressions from latest main merge A fresh merge from main brought in new test code never run under the five-checker test-typing suite. Green up across the affected packages: - core: narrow Optional span.attributes with 'and' guards in span filters and assert+cast the json.loads(...attributes[...]) reads (test_observability); match the existing as_agent ignore on the protocol-typed fixture (test_clients). - openai: align new streaming tests with the established chat_options dict pattern (ChatOptions TypedDict isn't assignable to dict), route Optional .annotations[0] access through a small _first_annotation helper (mirrors the file's assert-not-None convention), and annotate a mapped ResponseStream. - foundry_hosting: annotate error: dict[str, Any] = body.get(...) or {} (zuban needs the annotation). - foundry: narrow ignores for the live AIProjectClient credential arg (pyrefly) and connections.get_default (zuban) SDK type gaps. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated pyright version * pyright fix * Python: Fix source typing for pyright 1.1.410 Pyright 1.1.410 tightened several checks. Apply the same source fixes as upstream PR #6275: - anthropic: import AsyncAnthropicBedrock from anthropic.lib.bedrock and AsyncAnthropicVertex from anthropic.lib.vertex (no longer re-exported from the anthropic top-level package -> reportPrivateImportUsage). - core _types.py: cast the transform-hook result to UpdateT (reportAssignmentType). - core _workflows/_events.py: annotate the @contextmanager helper as Generator[None] instead of Iterator[None] (reportDeprecated). - redis: build the combined filter expression with an explicit loop instead of reduce(and_, ...), which pyright could no longer fully type (drops the now unused functools.reduce / operator.and_ imports). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Accept plain-text body in Azure Functions workflow/run endpoint The workflow_orchestrator already accepts plain strings as well as JSON objects via context.get_input(), but the start_workflow_orchestration HTTP handler only accepted JSON and returned 400 for any non-JSON body. This made the functions integration tests that POST text/plain to /api/workflow/run (e.g. test_09_workflow_shared_state) fail consistently with 400 != 202. Fall back to the raw request body (decoded as UTF-8) when the body is not JSON, rejecting only a truly empty body. The JSON path is unchanged. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Tao Chen
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bce2757477 | Foundry hosted agent responses emit failed events (#6502) | ||
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Tao Chen
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9cafd7e58b |
Python: Refactor workflow as agent pending request handling (#6259)
* WIP: Refactor Workflow as agent pending request handling * WIP: debugging empty message bug * Working: Workflow as agent with function approval * Address Copilot comments * Fix mypy * Address comments and fix pipeline * Request info non function approval now becomes function call * Revert uv.lock * Fix mypy * Bump min version of azure-ai-project * Remove RequestInfoFunctionArgs * fix tests * Fix failing tests * Fix sample |
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Tao Chen
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dbc312a78a |
Python: Fix toolbox consent flow in hosted agent (#6249)
* Fix toolbox consent flow in hosted agent * Resolve conflict * Make unused tool as comment * Fix tests |
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Evan Mattson
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4268080c20 |
Python: Fix spurious Magentic custom manager warning (#6261)
* Fix magentic manager warning
* Use typing_extensions.Sentinel for _MISSING sentinel value
Replace the bare object() sentinel with typing_extensions.Sentinel per
PEP 661 (now final). Sentinel provides a proper name and repr
('<_MISSING>') and is the idiomatic approach going forward.
Refs #4306
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: correct Sentinel type annotation for max_stall_count param (#6261)
Use int | Sentinel for max_stall_count parameter type annotation instead
of int with cast(Any, _MISSING) to properly express that the parameter
can hold either an int or the _MISSING sentinel value. This fixes the
pyright reportUnnecessaryComparison errors caused by the types int and
Sentinel having no overlap.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Rename _MISSING sentinel to UNSET in orchestrations
The sentinel is user-visible as a default in public init signatures, so
use UNSET (no leading underscore) instead of the private _MISSING name.
Drop the now-unnecessary reportPrivateUsage ignores on the UNSET imports.
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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Hameed Kunkanoor
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043208241a |
Python: Persist hosted MCP call/results as canonical mcp_call output (#6070)
* Persist hosted MCP call/results as canonical mcp_call output - Preserve hosted MCP call/result pairs as canonical mcp_call output items - Coalesce MCP call + result in non-streaming conversion path - Keep call-id alignment for MCP tool call tracking and output mapping - Update tests and package metadata * Fix missing Mapping import in hosted responses adapter * Fix pyright unknown type in MCP output stringification * Fix typing for MCP output sequence iteration * Improve MCP output robustness and avoid eager flattening * Bump foundry_hosting to b7 and update responses dependency to b7 * Restore foundry_hosting package version to 1.0.0a260521 * Refactor hosted MCP output parsing |
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Baidar
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9d8e5ca4f5 |
Python: Allow hosted checkpoints to restore MessageRole (#6049)
* Python: Allow hosted checkpoints to restore MessageRole Allow Responses hosting checkpoint storage to deserialize the Azure Responses MessageRole enum that hosted workflows can persist inside Agent Framework Message objects. Add regression coverage for both direct load() and the hosted get_latest() restore path, including the plain-storage failure mode where list_checkpoints logs the blocked type and get_latest() returns None. Ruff also normalizes a duplicate contextlib import in the touched hosting module. * Address MessageRole checkpoint review comments * Cover hosted MessageRole checkpoint restore path |
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westey
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ef86fb51d5 |
Python: Add a HarnessAgent with available features and sample (#6041)
* Add a HarnessAgent with available features and sample * Fix formatting * Address PR comments and fix mypy error * Add web search support to HarnessAgent * Fix build warning * Apply suggestions from code review Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Address PR comments * Address PR comments * Address further PR comments. * Fix markdown broken link --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> |
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Yufeng He
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cf91819625 | Python: fix Foundry handoff argument serialization (#5861) | ||
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Tao Chen
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d74d26c917 |
Python: Show more authentication methods in Foundry Toolbox MCP (#5719)
* Show more authentication methods in Foundry Toolbox MCP * Remove hardcoded toolbox version num * Add Foundry MCP OAuth consent handling * Use message instead of the dedicated item type * Go back to using OAuthConsentRequestOutputItem * WIP: sample testing * Update error code * Address review on Foundry Toolbox MCP samples Reviewed feedback addressed: - Drop the branch-pinned `git+https://...@feature/...` entries from `04_foundry_toolbox/requirements.txt`; restore the simple comment + `mcp` runtime dep. The git pins were only useful while iterating on the PR and shouldn't ship. (eavanvalkenburg) - Fix the `/toolsets/` typo in both `04_foundry_toolbox/README.md` and `06_files/README.md`. Verified empirically against the research_toolbox in the test workspace: the toolbox MCP gateway lives at `/toolboxes/{name}/mcp?api-version=v1` and requires the `Foundry-Features: Toolboxes=V1Preview` header. `/toolsets/{name}/mcp` returns 403 with `preview_feature_required: Toolsets=V1Preview` (a different opt-in feature). - Wrap `httpx.AsyncClient(...)` in `async with ... as http_client:` in both samples so the connection pool is cleaned up. (Copilot reviewer) - Make the `TOOLBOX_NAME` env var consistent in both samples. Previously the tool name silently fell back to `"toolbox"` when `TOOLBOX_NAME` was unset, but `resolve_toolbox_endpoint()` still required `TOOLBOX_NAME` and would raise `KeyError`. The samples now resolve the endpoint once and derive the tool name from the resolved URL when `TOOLBOX_NAME` isn't set, so the local tool name always matches the upstream toolbox identity regardless of which env var the user set. (Copilot reviewer) - Rename `_responses.is_consent_error` to `consent_url_from_error`: the helper returns `str | None` (the consent URL), not a bool, so the new name matches behavior. Update the test class accordingly. (eavanvalkenburg) - Tighten `_handle_inner_agent`'s lazy-entry catch from `Exception` to `AgentFrameworkException`, the type the MCP layer actually wraps consent errors in via `MCPStreamableHTTPTool.__aenter__` → `ToolExecutionException(inner_exception=mcp_error)`. Network failures, cancellations, and other non-framework exceptions now propagate normally instead of being briefly caught and re-raised. The test helper `_make_consent_error` is updated to use `ToolExecutionException` so it matches the real-world wrapping. (eavanvalkenburg) - Clarify the `github_pat` description in `agent.manifest.yaml` to note it's only needed when the PAT-based connection (`github-mcp-pat-conn`) is chosen; users selecting the OAuth2 connection (`github-mcp-oauth-conn`) can leave it empty. (Copilot reviewer) Validation: ran both samples end-to-end against a real Foundry toolbox (`research_toolbox`) -- the samples connect successfully and the agent lists the toolbox's MCP tools (`api_specs___fetch_azure_rest_api_docs`, etc.). `uv run poe test -P foundry_hosting` passes (119 tests), pyright + mypy clean. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: fix broken Foundry samples link in 04_foundry_toolbox README The previous URL pointed to an old location of the toolbox supported-scenarios doc; the doc moved to /samples/python/hosted-agents/SUPPORTED_TOOLBOX_SCENARIOS.md and the old /samples/python/toolbox/azd path now 404s. Caught by the markdown-link-check CI step. 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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Copilot
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67f3db6280 |
Python: Reject path-traversal context ids in Foundry Hosting Checkpoint Storage (#5851)
* Reject path-traversal context ids in foundry workflow checkpoint storage Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/fca3aae6-50eb-4726-8baf-2718217d4e79 Co-authored-by: lokitoth <6936551+lokitoth@users.noreply.github.com> * Address PR review feedback: clarify URL-decode comment, isolate test root, add e2e workflow rejection tests Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/832f45a6-c01e-4da9-bf85-1ba7b5f302e6 Co-authored-by: lokitoth <6936551+lokitoth@users.noreply.github.com> * Clarify MSRC repro padding length in regression test Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/832f45a6-c01e-4da9-bf85-1ba7b5f302e6 Co-authored-by: lokitoth <6936551+lokitoth@users.noreply.github.com> * add E2E http test for checkpoint context id rejection Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/730258ef-2781-4a7d-b7cf-b5c40c11defc Co-authored-by: lokitoth <6936551+lokitoth@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: lokitoth <6936551+lokitoth@users.noreply.github.com> Co-authored-by: Jacob Alber <jaalber@microsoft.com> |
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Tao Chen
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213491da66 |
Python: Add support for function approval flow in Foundry hosted agent (#5666)
* Add support for function approval flow in Foundry hosted agent * Address comments * Address comments * Address comments |
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Giles Odigwe
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540193ccef |
Python: Reduce flaky integration tests and improve CI signal quality (#5454)
* Enable Ollama integration tests in CI and rename report to Integration Test Report
- Install Ollama, cache models (qwen2.5:0.5b + nomic-embed-text), and start
server in the Misc integration job for both workflow files
- Set OLLAMA_MODEL and OLLAMA_EMBEDDING_MODEL env vars so the 5 Ollama tests
are no longer skipped
- Rename Flaky Test Report to Integration Test Report throughout (job names,
artifact names, cache keys, file names, script titles/docstrings)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump Ollama model to qwen2.5:1.5b for better instruction following
The 0.5b model was too small to reliably follow simple prompts like
'Say Hello World', causing test assertion failures. The 1.5b model
follows instructions more reliably while still being small enough
for fast CI pulls (~1GB).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-enable reliable streaming integration tests
Remove the hard skip on test_03_reliable_streaming tests that was
temporarily disabled for instability investigation. CI infrastructure
(Azurite, DTS emulator, Redis, func CLI) is already in place.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-enable skipped Functions/DurableTask tests and bump timeout to 480s
- Remove hard skips from 4 tests in test_11_workflow_parallel.py
- Remove hard skip from test_conditional_branching in test_06_dt_multi_agent_orchestration_conditionals.py
- Increase pytest --timeout from 360 to 480 for Functions+DurableTask CI job
- Updated in both python-merge-tests.yml and python-integration-tests.yml
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-skip failing Functions/DurableTask tests with specific root causes
- test_11_workflow_parallel (4 tests): xdist worker crashes during execution
- test_conditional_branching: orchestration fails with RuntimeError, not a timeout
- Keep 480s timeout bump for remaining Functions tests
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix auth routing in samples 06/11: api_key -> credential for Azure OpenAI
Both samples passed a bearer token provider via api_key= which caused the
client to route to api.openai.com instead of Azure OpenAI, resulting in
401 Unauthorized. Changed to credential= which correctly triggers Azure
routing and picks up AZURE_OPENAI_ENDPOINT from the environment.
- samples/azure_functions/11_workflow_parallel/function_app.py: 1 fix
- samples/durabletask/06_multi_agent_orchestration_conditionals/worker.py: 2 fixes
- Re-enable 4 parallel workflow tests and 1 conditional branching test
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-skip parallel workflow tests: xdist worker distribution issue
The 4 parallel workflow tests crash because xdist worksteal distributes
them across separate workers, each spawning its own func process against
shared emulators. Auth fix (api_key->credential) was valid and stays.
test_conditional_branching now passes with the auth fix.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix E501 line-too-long in azurefunctions parallel test skip reasons
Wrap skip reason strings to stay within 120 char line limit.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add retry logic and port-conflict fix for Ollama CI setup
- Kill any auto-started Ollama before launching serve (fixes port
conflict: 'address already in use')
- Retry ollama pull up to 3 times with 15s backoff (fixes 429 rate
limit failures)
- Applied to both python-merge-tests.yml and python-integration-tests.yml
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix flaky integration tests and re-enable skipped tests
- Foundry agent: add allow_preview=True to custom client test
- Foundry hosting: raise max_output_tokens 50->200, add temperature,
relax assertion in test_temperature_and_max_tokens
- Foundry embedding: update skip reason with root cause (endpoint mismatch)
- OpenAI file search: fix vector store indexing race condition by polling
file_counts before querying; fix get_streaming_response -> get_response(stream=True)
- Azure OpenAI file search: remove skip (transient 500 resolved)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Remove temperature from foundry hosting test (unsupported by CI model)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Stabilize Ollama tool call integration tests with no-arg function
Use a no-argument greet() function instead of hello_world(arg1) for
integration tests. The 1.5B model in CI is unreliable at generating
correct tool call arguments, causing 'Argument parsing failed' errors.
A no-arg function eliminates this flakiness entirely.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Increase reliable streaming test timeouts from 30s to 60s
The LLM call through Azure OpenAI + Redis streaming pipeline can exceed
30s in CI due to cold starts or throttling. Raise to 60s to reduce
flaky timeouts while still bounded by pytest's 120s per-test limit.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-enable workflow parallel tests with xdist_group marker
The tests were skipped because xdist distributes module tests across
workers, each spawning their own func process (port conflicts). Adding
xdist_group forces all tests in this module onto a single worker so
the module-scoped function_app_for_test fixture works correctly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Revert "Re-enable workflow parallel tests with xdist_group marker"
This reverts commit
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Evan Mattson
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317ef4491e |
Python: Fix hosted MCP replay producing orphan function_call_output (#5581)
* Python: Fix hosted MCP replay producing orphan function_call_output Resolves part of #5546. After a turn ran a hosted MCP / Foundry-toolbox-MCP tool, the next turn's replayed input array carried a function_call_output with an mcp_* call_id and no matching function_call, and the Responses API returned a 400. Two layers covered here: * Chat-client serialize layer (packages/openai): adds mcp_server_tool_call and mcp_server_tool_result cases to _prepare_message_for_openai and _prepare_content_for_openai. Pairs are coalesced via a post-pass into a single mcp_call input item carrying both arguments and output. Orphan results are dropped (debug-logged) rather than serialized as orphan function_call_output, which is what the Responses API rejected. * Host read layer (packages/foundry_hosting): _item_to_message and _output_item_to_message now route custom_tool_call_output whose call_id.startswith("mcp_") to Content.from_mcp_server_tool_result. Non-mcp_ call_ids continue to produce Content.from_function_result. Symmetric with the host write-side choice for hosted-MCP results. Two further fixes (agentserver SDK additions, host write-side single-item emission) remain tracked on the issue and depend on an SDK release. * Python: Fix pyright unknown-type in _stringify_mcp_output cast(Sequence[Any], output) after the isinstance check so pyright stops flagging the loop variable as unknown. Also normalizes a couple of em-dashes in docstrings I introduced in the prior commit. * Python: Harden _stringify_mcp_output for dict-shaped MCP outputs Address Copilot review on PR #5581. Today the helper falls back to str() for any non-string, non-text-attribute entry, which produces Python repr (single-quoted dicts) for the canonical MCP raw-JSON text-content shape `{"type": "text", "text": "..."}` and any other dict-shaped output. Three small changes: * List-entry path: prefer plain string entries, then `.text` attribute (Content objects), then `entry["text"]` for Mapping entries in the canonical MCP shape, then JSON-encode anything else. * Final fallback: `json.dumps(output, default=str)` so Mappings and scalars produce valid JSON rather than Python repr. * Two new unit tests covering the dict-with-text shape and the non-text-dict JSON fallback. * Python: Suppress mypy redundant-cast on _stringify_mcp_output narrowing The cast is needed by pyright (reportUnknownVariableType) but mypy considers it redundant after the preceding isinstance narrowing. Pyright's behavior is correct for the strict-mode reporting we run, so keep the cast and silence mypy on the line. |
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Evan Mattson
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866a325b48 |
Python: [BREAKING] Standardize orchestration terminal outputs as AgentResponse (#5301)
* Fix orchestration outputs so as_agent() returns the final answer only. Align other orchestration outputs * Fix orchestration output issues from review comments 1. Sample cleanup: Remove commented-out FoundryChatClient block and update prerequisites to reference OPENAI_CHAT_MODEL_ID instead of FOUNDRY_* vars. 2. Sequential approval output: Change _EndWithConversation.end_with_agent_executor_response from a no-op sink to yield response.agent_response. When the last participant is AgentApprovalExecutor (via with_request_info), _EndWithConversation is the output executor so the yield produces the terminal answer. When the last participant is a regular AgentExecutor, _EndWithConversation is not in output_executors so the yield is silently filtered out. 3. Forward data events through WorkflowExecutor: _process_workflow_result now also forwards 'data' events from sub-workflows so that emit_intermediate_data=True on AgentExecutor works correctly when wrapped in AgentApprovalExecutor. 4. Concurrent docstring: Update _AggregateAgentConversations docstring to say 'deterministic participant order' instead of 'completion order'. 5. Add test_concurrent_intermediate_outputs_emits_data_events verifying that ConcurrentBuilder(intermediate_outputs=True) emits per-participant data events alongside the single aggregated output event. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add tests for sequential workflow with_request_info and intermediate_outputs (#5301) Address PR review comments 2, 3, and 5: - Add test_sequential_request_info_last_participant_emits_output: Verifies that when the last participant is wrapped via with_request_info() (AgentApprovalExecutor), the workflow still emits a terminal output after approval, exercising the _EndWithConversation.end_with_agent_executor_response fallback path. - Add test_sequential_request_info_with_intermediate_outputs_emits_data_events: Verifies that emit_intermediate_data=True works correctly through AgentApprovalExecutor wrapping—WorkflowExecutor._process_result already forwards data events from sub-workflows, so intermediate agent responses surface as data events in the parent workflow. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright type errors from AgentResponse output refactor (#5301) Update cast() calls in _group_chat.py and _magentic.py to use WorkflowContext[Never, AgentResponse] instead of the old WorkflowContext[Never, list[Message]], matching the updated method signatures in _base_group_chat_orchestrator.py. Fix _sequential.py _EndWithConversation.end_with_agent_executor_response to declare WorkflowContext[Any, AgentResponse] so yield_output accepts AgentResponse[None]. Fix _workflow_executor.py data event forwarding to handle nullable executor_id. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright reportUnknownVariableType in _agent.py (#5301) Extract event.data into a typed local variable before the isinstance check to avoid pyright narrowing it to AgentResponse[Unknown]. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix pyright reportMissingImports for orjson in file history samples (#5301) Add pyright: ignore[reportMissingImports] to orjson imports that are already guarded by try/except ImportError, matching the existing pattern used elsewhere in the samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback for #5301: review comment fixes * Address review feedback for #5301: review comment fixes * Revert sequential_workflow_as_agent sample to FoundryChatClient Reverts the mistaken switch from FoundryChatClient to OpenAIChatClient in the sequential workflow as agent sample. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address ultrareview feedback: emit_data_events rename + WorkflowAgent reasoning conversion Layered on top of the prior review-feedback work in this branch. Renames: - AgentExecutor.emit_intermediate_data -> emit_data_events (mechanical rename; orchestration semantics live at the orchestration layer, not the general-purpose executor). Forwarded through MagenticAgentExecutor, AgentApprovalExecutor, and all orchestration call sites. - HandoffAgentExecutor._check_terminate_and_yield -> _should_terminate (pure predicate; no longer yields anything). HandoffBuilder docstring rewritten to describe the new per-agent AgentResponse output contract. WorkflowAgent reasoning-content conversion: - Add _rewrite_text_to_reasoning(contents) and _msg_as_reasoning(msg) helpers; the as_agent() path now reframes text content from data events as text_reasoning Content blocks before merging into the AgentResponse. - Consumers iterate msg.contents and branch on content.type — same path they already use for Claude thinking and OpenAI reasoning. No new field on Message/AgentResponse/WorkflowEvent. - Streaming branch constructs fresh AgentResponseUpdate instances instead of mutating shared payloads (regression test added). - Helper _msg_maybe_reasoning consolidates the conditional rewrite at three call sites in the non-streaming conversion. Tests: - TestWorkflowAgentReasoningHelpers + TestWorkflowAgentDataEventReasoningConversion add 9 new tests covering helpers, non-streaming, streaming, mixed content, already-reasoning passthrough, and mutation-safety regression. - Updated test_sequential_as_agent_with_intermediate_outputs_includes_chain to assert text_reasoning content for intermediate agents. * Fix pyright: widen event.data to Any to avoid partial-unknown narrowing The streaming conversion path narrowed event.data via isinstance against generic AgentResponse, producing AgentResponse[Unknown] and tripping reportUnknownVariableType/reportUnknownMemberType. Binding data: Any before the check keeps runtime behavior identical while restoring a fully known type for downstream access. * Clean up design * Scope to agent output semantics only * yield AgentResponseUpdate streaming, AgentResponse non-streaming * Fix mypy/pyright: widen cast types at GroupChat callsites Eight callsites in _group_chat.py still cast to WorkflowContext[Never, AgentResponse] but the base orchestrator methods now accept the wider WorkflowContext[Never, AgentResponse | AgentResponseUpdate] (mode-aware yields). W_OutT is invariant, so the narrower cast is not assignable. Magentic was widened in the same commit; this catches the GroupChat callsites that were missed. * Python: skip flaky Foundry / Foundry Hosting integration tests (#5553) These two integration tests have been failing in the merge queue across multiple unrelated PRs (5301, 5531). Both are marked `@pytest.mark.flaky` with 3 retries, but all attempts fail back-to-back. Skipping both with a reason pointing to #5553 so they can be fixed properly without continuing to block unrelated merges. - packages/foundry_hosting/tests/test_responses_int.py::TestOptions::test_temperature_and_max_tokens - packages/foundry/tests/foundry/test_foundry_embedding_client.py::TestFoundryEmbeddingIntegration::test_text_embedding_live Also includes a one-line uv.lock specifier-ordering normalization auto-applied by the poe-check pre-commit hook. --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Tao Chen
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88347f6494 |
Python: Update hosting agent samples + fixes (#5485)
* Update foundry hosting samples * Add file data type support * Fix file content and add more tests * Fix README * Address comments * Fix int tests * remove temp |
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Eduard van Valkenburg
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62e02da698 |
Python: update FoundryAgent for hosted agent sessions (#5447)
* fixes to FoundryAgent to connect to new hosted agents Co-authored-by: Copilot <copilot@github.com> * fix mypy Co-authored-by: Copilot <copilot@github.com> * Python: remove Foundry service session helpers Remove the public hosted-agent service session CRUD helpers from FoundryAgent and drop the related feature-stage inventory entry. Update the hosted-agent sample to create and delete service sessions directly through the preview AIProjectClient APIs, and tighten a few test harnesses surfaced by full workspace validation. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix from merge * fix hosted env detection Co-authored-by: Copilot <copilot@github.com> * reverted sample update * fix tests and code Co-authored-by: Copilot <copilot@github.com> * remove aenter * skipping some tests Co-authored-by: Copilot <copilot@github.com> --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Tao Chen
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4adfd244ac |
Python: Upgrade hosting server dependency and add more type support (#5459)
* Upgrade hosting server dependency and add more type support * Comments |
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Tao Chen
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ce8b6305d8 |
Python: Foundry hosted agent V2 (#5379)
* Python: Wrapper + Samples 1st (#5177) * Experiment * Update dependency and add non streaming * Add more samples * Rename samples * Add invocations * Comments 1 * Comments 2 * Comments 3 * Improve README * Add local shell sample * WIP: Add eval and memory samples * Update user agent prefix * Update user agent prefix doc * Update dependency (#5215) * Add tests and more content types (#5235) * Add tests * fix tests and sample * Fix formatting * Remove function approval contents * Python: Refine samples and upgrade packages (#5261) * Refine samples and upgrade pacakges * Upgrade to a new package that fixes a bug * Update model env var * Move samples (#5281) * Python: Upgrade agentserver packages (#5284) * Upgrade agentserver packages * Fix new types * Python: Add special handling for workflows (#5298) * Add special handling for workflows * Address comments * Improve samples (#5372) * Python: Add more types (#5378) * Add more type supports * Upgrade packages * Remove TODOs in README * Fix README * Comments and mypy * User agent scoped * Fix README * Fix pre commit * Fix pre commit 2 * Fix pre commit 3 * Fix pre commit 4 * Fix pre commit 5 * Fix pre commit 6 * Add azure-monitor-opentelemetry to dev deps Fixes Samples & Markdown CI failure. The PR's new transitive dep on azure-monitor-opentelemetry-exporter (via azure-ai-agentserver-core) makes pyright resolve the azure.monitor.opentelemetry namespace, flipping the check_md_code_blocks diagnostic for `configure_azure_monitor` from reportMissingImports (filtered) to reportAttributeAccessIssue (not filtered). Installing the umbrella azure-monitor-opentelemetry package in dev makes pyright resolve the symbol correctly, matching the install guidance the observability README already gives users. --------- Co-authored-by: Evan Mattson <evan.mattson@microsoft.com> |