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feature/python-add-workflow-reset
79 Commits
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Remove broken Atomic Agents docs link (#6442)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg ·
2026-06-10 09:07:51 +00:00 -
Shawn Henry ·
2026-06-09 16:41:28 +00:00 -
2026-06-09 15:56:56 +00:00 -
.NET: Add Hosted-MemoryAgent sample with isolation key plumbing (#5692) (#5702)
* .NET: Add Hosted-MemoryAgent sample with isolation key plumbing (#5692) Adds HostedSessionContext + HostedSessionIsolationKeyProvider in Microsoft.Agents.AI.Foundry.Hosting so AIContextProviders (notably FoundryMemoryProvider) can scope per user via the platform's x-agent-user-isolation-key / x-agent-chat-isolation-key headers. - New types: HostedSessionContext (sealed), HostedSessionContextExtensions (public Get, internal Set), abstract HostedSessionIsolationKeyProvider (async), internal PlatformHostedSessionIsolationKeyProvider mapping ResponseContext.Isolation. - AgentFrameworkResponseHandler now resolves the provider, tags fresh sessions, and validates resumed sessions against the live request (strict 403 'Hosted session identity context mismatch' on any mismatch; 500 on null keys). - New shared sample project Hosted_Shared_Contributor_Setup hosts DevTemporaryTokenCredential and DevTemporaryLocalSessionIsolationKeyProvider plus AddDevTemporaryLocalContributorSetup. All 9 existing responses samples migrated to consume it so local runs keep working under the strict isolation contract. - New Hosted-MemoryAgent sample: travel assistant wired through FoundryMemoryProvider with stateInitializer reading session.GetHostedContext().UserId. Includes Dockerfile, smoke.ps1, agent.yaml/manifest. - New IT scenario 'memory' in Foundry.Hosting.IntegrationTests + MemoryHostedAgentFixture + MemoryHostedAgentTests. Verified end to end against the tao Foundry project. - ADR 0026 captures the design tree. * Address PR review feedback - Dockerfile: add header noting it targets NuGet builds; contributors must use Dockerfile.contributor for ProjectReference source builds. - PlatformHostedSessionIsolationKeyProvider: doc said 'returns context with empty values'; corrected to 'returns null' which the handler treats as 500. - FakeHostedSessionIsolationKeyProvider: doc clarifies that null configurations are allowed for testing the handler error path. - HostedSessionContextExtensions.SetHostedContext: enforce write-once with InvalidOperationException; doc + xml exception updated. - AgentFrameworkResponseHandler: cache PlatformHostedSessionIsolationKeyProvider as static readonly to avoid per-request allocation. - MemoryHostedAgentTests: tighten waits from 20s to 5s (FoundryMemoryProvider defaults UpdateDelay=0; ingestion ~3s). - Sample Program.cs imports reordered to satisfy IDE0005. * Add HostedFoundryMemoryProviderScopes built-in helpers (#5692) Addresses review feedback from @lokitoth on Hosted-MemoryAgent/Program.cs:54. - New HostedFoundryMemoryProviderScopes static class with PerUser, PerChat, PerUserAndChat factories returning Func<AgentSession?, FoundryMemoryProvider.State>. - All helpers throw InvalidOperationException when GetHostedContext() is null, with a message pointing at writing a custom stateInitializer for non-hosted scenarios. - New HostedFoundryMemoryScope enum and AddHostedFoundryMemoryProvider DI extension (two overloads: explicit AIProjectClient and DI-resolved). Singleton lifetime. Default scope = PerUser. - Hosted-MemoryAgent sample and the memory IT scenario container both swap their inline lambdas for HostedFoundryMemoryProviderScopes.PerUser(). - 14 new unit tests (241/241 hosting unit tests pass). * Replace HostedFoundryMemoryScope enum with Func<...> parameter (#5692) Address PR review feedback from @westey-m: enums are a breaking-change hazard when extended, and the enum was redundant with the existing HostedFoundryMemoryProviderScopes static class. - Delete HostedFoundryMemoryScope.cs. - AddHostedFoundryMemoryProvider DI extensions now take Func<AgentSession?, FoundryMemoryProvider.State>? stateInitializer = null. When null, default to HostedFoundryMemoryProviderScopes.PerUser(). - Callers pick a built-in helper (PerUser/PerChat/PerUserAndChat) or pass a custom delegate. New built-ins are a single static method addition with zero impact on existing callers. - Tests updated; 244/244 hosting unit tests pass. * Fix isolation context resume for externally-created conversations (#5692) Branch on the session's existing hosted-context (not on conversation_id presence) so a conversation provisioned externally (e.g. via conversations.CreateProjectConversationAsync) is treated as fresh on first hosted-agent request and stamped, rather than rejected with 403 hosted_session_identity_mismatch. Strict equality is preserved on real resume of an already-stamped session. Also tighten dotnet/global.json to version 10.0.204 + rollForward latestPatch so local builds match the CI Docker image SDK and avoid 10.0.300 dotnet format stripping required usings. * Revert global.json SDK pin to upstream (#5692) The 10.0.204 + latestPatch pin from the previous commit broke the dotnet-format CI job (hostfxr_resolve_sdk2 could not find a compatible SDK in the mcr.microsoft.com/dotnet/sdk:10.0 image). Restore upstream 10.0.200 + minor; local Release builds with SDK 10.0.300 should set GITHUB_ACTIONS=true to bypass the auto-format-on-build target.
Roger Barreto ·
2026-05-15 05:42:12 +00:00 -
Python: information-flow control prompt injection defense (#5331)
* Python: Information-flow control based prompt injection defense (#5024) * fides integration * documentation * documentation * documentation * human-approval on policy violation * numenous hyena 'works' * IFC based implementation * minor edits in documentation * rebasing the branch and running the email example * Add security tests for IFC middleware * Fix Role.TOOL NameError in approval handling * tiered labelling scheme * 3 tier labelling scheme in middleware * Adapt security middleware to list[Content] tool results * Refactor SecureAgentConfig as context provider and address Copilot review comments * Update FIDES docs to reflect context provider pattern and update code for ContextProvider rename * Fix security examples: use OpenAIChatClient instead of non-existent AzureOpenAIChatClient * Address PR review: consolidate security modules, remove ContentLineage, update docs * remove unrelated files * remove comment from _tools.py and rename decision file * Fix CI failures: Bandit B110, broken md links, hosted approval passthrough * apply template to decision doc 0024 * minor fixes to decision doc 0024 --------- Co-authored-by: Aashish <t-akolluri@microsoft.com> * Python: follow up FIDES security flow (#5330) * Python: follow up FIDES security flow Refine the secure approval path, mark the security classes with the FIDES experimental feature label, and clean up the related docs/tests. Also fix workspace-level validation regressions uncovered while running the full Python check suite. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: remove FIDES GitHub MCP sample Drop the GitHub MCP security sample from the FIDES follow-up branch while keeping the remaining security docs and samples intact. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review: fix paths and update FIDES implementation (#5352) * Python: updated import naming and comment from review (#5421) * updated import naming and comment from review * Add approval replay None call-id test Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Address PR 5331 comments and track sesssion while calling Agent in email_security_example (#5446) * Address PR review: fix paths and update FIDES implementation * Address PR comments and add session tracking in email example in samples * Fix session creation and resolve merge conflict in docstring example * Resolve merge conflict in docstring example * Python: add test for empty-message pruning in approval result replacement (#5617) Adds test coverage for the second-pass logic in `_replace_approval_contents_with_results` that removes messages whose `contents` list becomes empty after first-pass content removal. Addresses review comment on PR #5331: https://github.com/microsoft/agent-framework/pull/5331#discussion_r3129039445 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: shrutitople <shruti.tople@gmail.com> Co-authored-by: Aashish <t-akolluri@microsoft.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-05 18:08:08 +00:00 -
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>
Evan Mattson ·
2026-04-20 23:56:01 +00:00 -
Python: Add Hyperlight CodeAct package and docs (#5185)
* initial work on code_mode * updated samples * updates to codeact * udpated codeact * Draft CodeAct ADR and sample updates Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * initial implementation and adr and feature * Python: Limit Hyperlight wasm backend to Python <3.14 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix CI for Hyperlight CodeAct PR Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Run Hyperlight integration when available Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Address Hyperlight review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Simplify Hyperlight file mount inputs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Accept Path host paths in Hyperlight mounts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix Hyperlight mount typing for CI Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * temp run integration test * Python: Strengthen Hyperlight real sandbox tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * added additional tests * Python: Simplify Hyperlight CodeAct API Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * set tests as non-integration * Retry Hyperlight allowed-domain registration Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Gate Hyperlight integration tests by runtime support Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Hyperlight skip test on Python 3.14 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Delay Hyperlight runtime probe until test execution Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Relax Hyperlight Windows integration stdout assertion Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Scan Hyperlight output directory for artifacts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Retry Hyperlight output artifact collection Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Harden Hyperlight integration output assertions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Retry Hyperlight read-back check in integration test Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify Hyperlight integration write assertion Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Avoid pathlib in Hyperlight integration sandbox Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use socket network check in Hyperlight sandbox Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Replace blocked Azure AI Search blog link Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Clarify Hyperlight guest stdlib limits Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use _socket in Hyperlight integration sandbox Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Handle Hyperlight mounted file paths Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Broaden Hyperlight sandbox path fallbacks Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Search Hyperlight guest mounts recursively Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split Hyperlight mount coverage Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split Hyperlight live network tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Hyperlight file-write test on Windows Enable the sandbox filesystem by providing a workspace_root so /output is mounted. Remove os.path.exists assertion (unsupported in WASM guest) and fix Content data assertion to use .uri. Skip the network integration test on Windows where the WASM sandbox lacks the encodings.idna codec. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review: ADR intro, manual wiring sample, doc clarifications - Add CodeAct introduction section to ADR for unfamiliar readers - Clarify 'less runtime efficient' con with specific overhead description - Add note in Python impl doc clarifying ADR vs impl doc split - Explain why before_run hooks must be per-run (CRUD, concurrency, approval) - Rename code_interpreter variable to codeact in E2E sample - Add manual static wiring sample (codeact_manual_wiring.py) - Add 'when to use which pattern' guidance to samples README Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR #5185 review comments and add .NET CodeAct design doc - Fix async callback: _make_sandbox_callback returns sync wrapper with thread + asyncio.run() bridge (was broken with real Wasm FFI) - Fix stale output: clear output_dir before each sandbox.run() call - Fix blocking event loop: _run_code now async with asyncio.to_thread() - Revert _agents.py options['tools'] injection (unnecessary; provider uses context.extend_tools()) - Revert SessionContext.options docstring back to read-only - Add real-sandbox test fixtures (shared/restored/fresh) - Add 8 new real-sandbox tests for callback round-trip, stale output, event loop non-blocking, basic execution, stdout/stderr, errors, snapshot/restore, and tool registration - Add comprehensive .NET HyperlightCodeActProvider design document Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update hyperlight README with code snippets and remove Public API section Replace bare export list with Quick Start code examples covering the context provider, standalone tool, manual static wiring, and file mounts / network access patterns. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-17 00:49:44 +00:00 -
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
2026-04-02 11:26:35 +00:00 -
.NET: [BREAKING] Rename from ServiceStoredSimulatingChatClient to PerServiceCallChatHistoryPersistingChatClient (#4993)
* Rename from ServiceStoredSimulatingChatClient to PerServiceCallChatHistoryPersistingChatClient * Address PR comment
westey ·
2026-03-31 17:32:05 +00:00 -
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>
Ben Thomas ·
2026-03-31 15:53:06 +00:00 -
.NET: Allow Simulating service stored ChatHistory to improve consistency (#4974)
* Allow Simulating service stored ChatHistory to improve consistency * Fixing bug in ServiceStoredSimulatingChatClient * Addressing PR comments. * Address PR comments * Apply suggestion from @SergeyMenshykh Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> * Fix bug --------- Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
2026-03-30 18:52:01 +00:00 -
.NET: [Breaking] Update Foundry Agents for Responses API (#4502)
* Stage * Add FoundryAgentClient, model param, chatClientFactory, and RAPI samples - Add model parameter to FoundryAgentClient simple constructor - Add chatClientFactory parameter to both constructors - Switch to OpenAI.GetProjectResponsesClientForModel for direct Responses API usage - Add FoundryAgents-RAPI samples (Step01 Basics, Step02 Multiturn, Step03 FunctionTools) - Add solution folder entry for FoundryAgents-RAPI samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add auto-discovery constructor and simplify RAPI samples - Add FoundryAgentClient constructor that reads AZURE_AI_PROJECT_ENDPOINT and AZURE_AI_MODEL_DEPLOYMENT_NAME from environment variables with DefaultAzureCredential - Simplify RAPI samples to use auto-discovery (no env var or credential code) - Remove Azure.Identity direct references from sample csproj files - Update READMEs to document environment variable requirements Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add remaining RAPI samples (Step04-Step12) - Step04: Function tools with human-in-the-loop approvals - Step05: Structured output with typed responses - Step06: Persisted conversations with session serialization - Step07: Observability with OpenTelemetry - Step08: Dependency injection with hosted service - Step10: Image multi-modality - Step11: Agent as function tool (agent composition) - Step12: Middleware (PII, guardrails, function logging, HITL approval) - Update solution file and folder README with all new samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add all RAPI samples (Step09-Step23) and switch to AzureCliCredential - Step09: MCP client as tools (GitHub server via stdio) - Step13: Plugins with dependency injection - Step14: Code Interpreter tool - Step15: Computer Use tool with screenshot simulation - Step16: File Search with vector stores - Step17: OpenAPI tools (REST Countries API) - Step18: Bing Custom Search - Step19: SharePoint grounding - Step20: Microsoft Fabric - Step21: Web Search with citations - Step22: Memory Search with multi-turn conversations - Step23: Local MCP via HTTP (Microsoft Learn) - Switch all samples (Step04-Step12) to use AzureCliCredential with env vars - Update solution file and README with all 23 samples - All 23 samples build successfully, tested Step05/06/11/13/21 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Switch Step01-03 samples to AzureCliCredential for consistency Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Clarify connection ID format in SharePoint and Fabric READMEs Document that SHAREPOINT_PROJECT_CONNECTION_ID and FABRIC_PROJECT_CONNECTION_ID should use the connection name (e.g., 'SharepointTestTool'), not the full ARM resource URI. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Normalize env vars, fix structured output, update READMEs with connection ID formats - Normalize AZURE_FOUNDRY_PROJECT_* env vars to AZURE_AI_PROJECT_ENDPOINT / AZURE_AI_MODEL_DEPLOYMENT_NAME across all samples (Steps 18-22 READMEs + Steps 19-20 Program.cs) - Fix RAPI Step05 StructuredOutput to use full constructor with ResponseFormat for streaming JSON - Update Deep Research sample to use AzureCliCredential - Enrich Bing Grounding README with full ARM resource URI format - Fix Bing Custom Search README env var mismatch (BING_CUSTOM_SEARCH_* -> AZURE_AI_CUSTOM_SEARCH_*) - Add finding instructions for connection ID and instance name in Bing Custom Search READMEs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Refactor memory samples and switch to DefaultAzureCredential - Refactor RAPI Step22 MemorySearch: extract store setup to EnsureMemoryStoreAsync local function - Refactor non-RAPI Step22 MemorySearch: same pattern with explicit memory lifecycle - Set UpdateDelay=0 on MemoryUpdateOptions and MemorySearchPreviewTool for faster ingestion - Use WaitForMemoriesUpdateAsync with 500ms polling interval - Switch Step19 SharePoint, Step20 Fabric, Step22 MemorySearch (both) to DefaultAzureCredential - Remove SearchOptions from MemorySearchPreviewTool (causes unknown parameter error) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Switch all RAPI samples to DefaultAzureCredential and format - Replace AzureCliCredential with DefaultAzureCredential across all 20 RAPI samples - Run dotnet format on all RAPI and non-RAPI Foundry samples - AzureAI unit tests: 341 passed (net10.0 + net472) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Rename to Microsoft Foundry, add metadata, rename RAPI folder - Replace 'Azure AI Foundry' / 'Azure Foundry' with 'Microsoft Foundry' in all docs, comments, and XML docs - Update FoundryAgentClient metadata provider name to 'microsoft.foundry' - Rename FoundryAgents-RAPI folder to FoundryResponseAgents - Rewrite FoundryResponseAgents README with comparison table vs Foundry Agents - Update slnx and parent README with new folder references Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review: simplify sample comments and fix DeepResearch credential - Remove 'no server-side agent' and 'Responses API directly' phrasing from comments - Simplify to 'Create a FoundryAgentClient' per review feedback - Switch Agent_Step15_DeepResearch to DefaultAzureCredential Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Restore full DefaultAzureCredential warning comment in DeepResearch sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add ADR 0020: Foundry agent type naming convention Proposes naming options for a new MAF type wrapping versioned Foundry agents (Prompt, ContainerApp, Hosted, Workflow) to distinguish from the existing FoundryResponsesAgent (RAPI path). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify FoundryResponsesAgent samples with env-var constructors and rename folders - Add env-var constructors to FoundryResponsesAgent (simple + options-based) - Fix Constructor 1 model optionality (no longer throws on missing AZURE_AI_MODEL_DEPLOYMENT_NAME) - Add ApplyModelDeploymentFallback helper for options-based constructor - Update all 23 FoundryResponseAgents samples to remove Environment.GetEnvironmentVariable boilerplate - Condense 6 simple samples to one-liner constructor calls - Add XML doc remarks about auto-resolved parameters on all constructors - Rename FoundryAgents -> FoundryVersionedAgents (server-side, versioned) - Rename FoundryResponseAgents -> FoundryAgents (now the default path forward) - Update .slnx and README cross-references for new folder names Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add FoundryAITool factory, rename RAPI folders, and clean up references - Create FoundryAITool static factory class with 17 methods wrapping AgentTool.Create* and ResponseTool.Create* into AITool returns - Rename 23 FoundryAgentsRAPI_* subfolders to FoundryAgents_* (drop RAPI prefix) - Rename .csproj files and update .slnx references accordingly - Update 12 samples (6 FoundryAgents + 6 FoundryVersionedAgents) to use FoundryAITool - Replace all FoundryResponsesAgent references with FoundryAgent in comments and READMEs - Update sample READMEs to reference FoundryAITool methods Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Rename FoundryVersionedAgents subfolders from FoundryAgents_* to FoundryVersionedAgents_* Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add FoundryVersionedAgent class and refactor extension method internals - Create FoundryVersionedAgent with private ctor and async static factory methods (CreateAIAgentAsync/GetAIAgentAsync) with env-var and explicit endpoint tiers - Extract shared internal helpers from AzureAIProjectChatClientExtensions: CreateChatClientAgent, CreateAgentVersionFromOptionsAsync, CreateAgentVersionWithProtocolAsync (tools overload), CreateChatClientAgentOptions, GetAgentRecordByNameAsync, ThrowIfInvalidAgentName - Extension methods now delegate to shared internal helpers - All 49 existing samples continue to build successfully Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add CreateConversationSessionAsync, DeleteAIAgentAsync, auto-resolve model, simplify samples - Add CreateConversationSessionAsync to FoundryAgent and FoundryVersionedAgent (returns ChatClientAgentSession, creates server-side conversation + session in one call) - Add DeleteAIAgentAsync static method to FoundryVersionedAgent - Make model parameter optional in env-var factory overloads (auto-resolves from AZURE_AI_MODEL_DEPLOYMENT_NAME) - Update all FoundryVersionedAgents samples to use DeleteAIAgentAsync - Remove deploymentName env var from samples where only used for model parameter - Use CreateConversationSessionAsync in Step02_MultiturnConversation - Use explicit types instead of var for agent/session variables - All 49 samples build successfully Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove manual AIProjectClient construction from FoundryVersionedAgents samples - Replace manual AIProjectClient construction with GetService<AIProjectClient>() from the FoundryVersionedAgent in all dual-option and tool-specific samples - Remove AZURE_AI_PROJECT_ENDPOINT env var reads from updated samples - Remove Azure.Identity usings where no longer needed - Only Step01.1, Step01.2, Eval_Step01 retain manual construction (pedagogical samples) - All 49 samples build successfully Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Replace aiProjectClient extension calls with FoundryVersionedAgent factories in all samples - Replace aiProjectClient.CreateAIAgentAsync with FoundryVersionedAgent.CreateAIAgentAsync in Option 2 (Native SDK) paths across Steps 14-21 - Replace aiProjectClient.Agents.DeleteAgentAsync with FoundryVersionedAgent.DeleteAIAgentAsync - Remove unused AIProjectClient variables and using directives - Only Step01.1, Step01.2, Eval_Step01 retain direct AIProjectClient usage (pedagogical) - Step16, Step22 use GetService<AIProjectClient>() for file/memory operations Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove unused using directives from Step01.2, Step09, Eval_Step02 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update ADR 0020 with accepted decision: Option 6 - Add Option 6 detailing FoundryAgent, FoundryVersionedAgent, FoundryAITool, env-var auto-discovery, and self-contained factory patterns - Mark decision as accepted with rationale - Update current state and metadata sections Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update Step01 basics samples to use FoundryVersionedAgent factories - Step01.1: Replace manual AIProjectClient/AsAIAgent with FoundryVersionedAgent.CreateAIAgentAsync/GetAIAgentAsync/DeleteAIAgentAsync - Step01.2: Replace manual AIProjectClient with FoundryVersionedAgent.CreateAIAgentAsync/DeleteAIAgentAsync - Remove env var boilerplate and Azure.Identity dependency Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add DeleteAIAgentVersionAsync to FoundryVersionedAgent - DeleteAIAgentAsync: deletes the agent and all its versions (existing) - DeleteAIAgentVersionAsync: deletes only the specific version associated with the agent instance - Internally delegates to Agents.DeleteAgentAsync vs Agents.DeleteAgentVersionAsync Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix cleanup comments: DeleteAIAgentAsync deletes the agent and all its versions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update all FoundryVersionedAgents READMEs for FoundryVersionedAgent and auto-discovery - Rewrite main README with FoundryVersionedAgent usage, auto-discovery table, code example - Fix sample table links from FoundryAgents_Step* to FoundryVersionedAgents_Step* - Add FoundryAITool references in tool-specific sample descriptions - Update individual READMEs: fix stale paths, add auto-discovery note after env var blocks - Update tool references: AgentTool/ResponseTool -> FoundryAITool - Update parent 02-agents/README.md with FoundryVersionedAgent description Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Revert unrelated AGUI and Hosting.OpenAI formatting changes to main Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove env-var auto-discovery, add AsAIAgent, mark extensions Obsolete - Remove 2 env-var constructors from FoundryAgent (keep explicit endpoint ctors) - Remove 5 env-var factory methods from FoundryVersionedAgent (keep explicit ones) - Add 3 AsAIAgent static methods to FoundryVersionedAgent (AgentVersion/AgentRecord/AgentReference) - Mark all 8 AIProjectClient extension methods as [Obsolete] pointing to FoundryVersionedAgent - Remove ApplyModelDeploymentFallback, env var constants, Azure.Identity usings from source Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update all samples to use explicit endpoint, credential, and model parameters - Add explicit Environment.GetEnvironmentVariable reads for AZURE_AI_PROJECT_ENDPOINT and AZURE_AI_MODEL_DEPLOYMENT_NAME to all 48 sample files - Pass new Uri(endpoint), new DefaultAzureCredential(), deploymentName to FoundryAgent constructors and FoundryVersionedAgent factory methods - Add using Azure.Identity where missing - Matches repo-wide pattern used by other non-Foundry samples - All 49 samples build successfully Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Migrate remaining samples and source from obsoleted extension methods - Migrate AgentProviders, AgentWithRAG, AgentWithMemory, HostedWorkflow samples to FoundryVersionedAgent - Migrate AzureAgentProvider.cs to FoundryVersionedAgent.AsAIAgent - Migrate AzureAIProjectChatClientTests.cs to FoundryVersionedAgent.GetAIAgentAsync - Remove pragma suppressions from migrated files Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add unit tests for FoundryAgent and FoundryVersionedAgent - FoundryAgentTests.cs: 14 tests covering constructors, validation, properties, metadata, GetService, chat client factory, user-agent header - FoundryVersionedAgentTests.cs: 31 tests covering CreateAIAgentAsync, GetAIAgentAsync, AsAIAgent (3 overloads), DeleteAIAgentAsync, DeleteAIAgentVersionAsync, validation, invalid names, metadata, GetService Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Finalize Foundry agent migration Align FoundryAgent and FoundryVersionedAgent samples, docs, and tests with the explicit configuration model, clean up stale README guidance, and fix AzureAI unit test validation/build issues. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply formatter cleanup after validation Capture the dotnet format follow-up changes produced during branch validation so the committed state matches the successfully built and tested branch. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add integration tests for FoundryAgent and FoundryVersionedAgent Mark old AIProjectClient extension-method integration tests as obsolete and add new integration test suites for both FoundryAgent (Responses API) and FoundryVersionedAgent (versioned agents). All 71 non-skipped tests pass against the live Foundry service. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update ADR 0020 with test coverage details Add integration test coverage note to the Current State section of ADR 0020. * Simplify Foundry agents and validate moved samples * Rename FoundryAgent integration tests to ResponsesAgent The test classes exercise the non-versioned Responses path via AIProjectClient.AsAIAgent(), not the removed FoundryAgent wrapper type. Rename files and class names to reflect the actual test surface. * Update documentation for ChatClientAgent usage Added example usage of ChatClientAgent with JokerAgent. * Refactor ChatClientAgent instantiation for clarity * Revise agent type naming and usage examples Updated documentation to reflect changes in agent creation methods and added examples for using `ChatClientAgent`. * Fix Azure SDK namespace migration after rebase Update Azure.AI.Projects.OpenAI references to Azure.AI.Projects.Agents and Azure.AI.Extensions.OpenAI to match Azure.AI.Projects 2.0.0-beta.2. - Replace deprecated namespace across samples, tests, and src - Fix renamed types: OpenAPIFunctionDefinition -> OpenApiFunctionDefinition, BingCustomSearchToolParameters -> BingCustomSearchToolOptions, BrowserAutomationToolParameters -> BrowserAutomationToolOptions - Fix API changes: AgentRecord.Versions -> GetLatestVersion(), ResponsesClient constructor, FunctionApprovalRequestContent -> ToolApprovalRequestContent - Apply dotnet format Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address merge markers * Replace obsolete GetAIAgentAsync with AsAIAgent in samples Switch Agent_Step07_AsMcpTool and A2AServer to use the non-obsolete PersistentAgentsClient.AsAIAgent(PersistentAgent) extension instead of the deprecated GetAIAgentAsync, fixing CS0618 build errors. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix broken markdown links in Responses sample READMEs Replace stale ChatClientAgents_Step* folder references with the correct Agent_Step* names across all Responses sample READMEs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix format errors and address PR review comments - Fix charset and remove unused using in AzureAIProjectResponsesChatClient - Fix doc comment tags (code -> c) in FoundryAITool - Fix stray period in LocalMCP sample comment - Fix grammar in FoundryMemoryProvider xmldoc - Fix AIProjectClientAgentRunStreamingConversationTests base class Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply dotnet format fixes to PR-changed files Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix build errors from format pass and apply naming conventions - Fix static call to CreateSessionAsync in Step02 samples and extension tests - Use expression-bodied lambda in FoundryMemoryProvider (RCS1021) - Apply PascalCase naming to const fields in ResponsesAgentExtensionCreateTests (IDE1006) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Introduce FoundryAgent sealed type and update AsAIAgent extensions - Add FoundryAgent sealed class wrapping ChatClientAgent with: - Public ctors: (projectEndpoint, credential, model, instructions) and (agentEndpoint, credential) - Internal ctor: (AIProjectClient, ChatClientAgent) for extension use - CreateConversationSessionAsync() for server-side conversations - GetService<ChatClientAgent>() and GetService<AIProjectClient>() - MEAI user-agent policy on internally-created AIProjectClient - Change all AsAIAgent extension return types from ChatClientAgent to FoundryAgent - Update all samples and tests to use FoundryAgent type - Add 16 FoundryAgentTests covering ctors, GetService, UserAgent, RunAsync - Fix pre-existing Agent_Step12_Plugins build error Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Collapse sample folders and add FoundryAgent_Step01 sample - Move all Responses/* samples up to AgentsWithFoundry/ (flat structure) - Remove entire Versioned/ folder (26 samples) - Add FoundryAgent_Step01 sample showing direct FoundryAgent ctor usage - Update slnx to reflect flat folder structure - Fix csproj ProjectReference paths for new depth Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update READMEs for flat AgentsWithFoundry structure - Rewrite AgentsWithFoundry/README.md with FoundryAgent quick start - Fix cd commands and paths in 11 sample READMEs - Update 02-agents/README.md to single Foundry link - Update AGENTS.md tree to flat structure - Fix AgentWithMemory cross-reference Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix FoundryAgent_Step01 sample with full create/run/delete lifecycle Show the complete server-side agent lifecycle: create version with native SDK, wrap as FoundryAgent via AsAIAgent, run, then delete. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Revert RAPI samples to use AIAgent instead of FoundryAgent RAPI samples should not reference FoundryAgent directly. Restored original sample code with only ChatClientAgent -> AIAgent type change to accommodate the AsAIAgent return type. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Convert versioned-pattern samples to pure RAPI Step09, Step13, Step17, Step22 were using CreateAgentVersionAsync + PromptAgentDefinition which is the versioned pattern. Converted to use AsAIAgent(model, instructions, tools) which is the RAPI path. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix format issues from Docker CI check - FoundryAgent_Step01: CRLF -> LF - Agent_Step09: missing final newline - Agent_Step11_Middleware: add internal modifier, final newline - Agent_Step02: remove redundant cast (IDE0004) - Agent_Step08: simplify name (IDE0001) - FoundryAgentTests: s_ prefix, Async suffix naming conventions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Switch Step09 MCP sample to Microsoft Learn HTTP endpoint Replace npx stdio GitHub MCP server with the public Microsoft Learn MCP endpoint (https://learn.microsoft.com/api/mcp) using HTTP transport. No external tooling required to run. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix missing final newline in Step09 MCP sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review: use DelegatingAIAgent, clean up Step01 sample - FoundryAgent now inherits DelegatingAIAgent instead of AIAgent, removing manual delegation boilerplate (westey-m feedback) - Simplified Agent_Step01_Basics to single agent creation path, moved composable IChatClient approach to README (westey-m feedback) - Fixed FoundryAgentTests param name assertion Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update sample using Project specialized type instead * Address PR review feedback: DefaultAzureCredential warnings, sample simplifications, format fixes - Add DefaultAzureCredential production warning comments to ~25 samples - Simplify Anthropic and OpenAI Step01 samples to single agent - Convert Step11 Middleware regex patterns to [GeneratedRegex] - Remove unnecessary cleanup comment from Step06 - Fix Step09 README MCP transport description - Enhance FoundryAgent xmldoc with non-persistent agent comparison Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split Step02, simplify RAG Step04, sharpen Step23 differentiation - Split Step02 into 02.1 (simple multi-turn via sessions) and 02.2 (server-side conversations via CreateConversationSessionAsync) - RAG Step04: replace HostedFileSearchTool + MEAI wrapping with native OpenAI FileSearchTool - Step23: clarify DelegatingAIFunction wrapping pattern vs Step09 basic MCP Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Hosted MCP sample: use ResponseTool.CreateMcpTool and move tool to PromptAgentDefinition Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix broken README link after Step02 split Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address Sergey round 3 feedback: branding, README nav, sample rename - Replace 'Azure AI Foundry' with 'Microsoft Foundry' in ADR 0020 - Fix 3 READMEs: 'ChatClientAgents' → 'AgentsWithFoundry' sample directory - Rename FoundryAgent_Step01 → Agent_Step00_FoundryAgentLifecycle for naming consistency Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-30 12:09:02 +00:00 -
ADR to support a multi-source architecture for agent skills (#4787)
* add adr suggesting a new design to support a multi-source architecture for agent skills * add deciders * move the adr to the decisions folder * remove unnecessary section * describe adding a custom skill source * update * address comments * add constructor overloads to inline skill resource and script * consider ai-function as an alternative for skill script and skill resource model classes * update decision outcome section and sync adr with latest changes in the code
SergeyMenshykh ·
2026-03-26 11:19:09 +00:00 -
Add ADR to decide consistency of Chat History Persistence (#4816)
* Add ADR to decide consitency of Chat History Persistence * Add example * Update ADR with review results * Remove unecessary clarification * Rename ADR to no 22
2026-03-26 11:10:33 +00:00 -
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>
2026-03-25 09:56:29 +00:00 -
Add ADR-0020: Foundry Evals integration (#4731)
* Add ADR-0020: Foundry Evals integration design Captures the design for integrating Azure AI Foundry Evaluations with agent-framework. Key decisions: - EvalItem with conversation (list[Message]) as single source of truth - query/response derived from configurable conversation split strategies - Tools as list[FunctionTool] (including auto-extracted MCP tools) - FoundryEvals provider with auto-detection of evaluator capabilities - LocalEvaluator with @function_evaluator decorator for local checks - Consistent Python/C# APIs: evaluate_agent, evaluate_workflow Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Mark ADR 0020 Foundry Evals as accepted 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>
2026-03-20 20:20:59 +00:00 -
[BREAKING] Python: clean up kwargs across agents, chat clients, tools, and sessions (#4581)
* Python: clean up kwargs across agents, chat clients, tools, and sessions (#3642) Audit and refactor public **kwargs usage across core agents, chat clients, tools, sessions, and provider packages per the migration strategy codified in CODING_STANDARD.md. Key changes: - Add explicit runtime buckets: function_invocation_kwargs and client_kwargs on RawAgent.run() and chat client get_response() layers. - Refactor FunctionTool to prefer explicit ctx: FunctionInvocationContext injection; legacy **kwargs tools still work via _forward_runtime_kwargs. - Refactor Agent.as_tool() to use direct JSON schema, always-streaming wrapper, approval_mode parameter, and UserInputRequiredException propagation (integrates PR #4568 behavior). - Remove implicit session bleeding into FunctionInvocationContext; tools that need a session must receive it via function_invocation_kwargs. - Lower chat-client layers after FunctionInvocationLayer accept only compatibility **kwargs (client_kwargs flattened, function_invocation_kwargs ignored). - Add layered docstring composition from Raw... implementations via _docstrings.py helper. - Clean up provider constructors to use explicit additional_properties. - Deprecation warnings on legacy direct kwargs paths. - Update samples, tests, and typing across all 23 packages. Resolves #3642 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * clarified docstring * feedback fixes * Add unit tests for _docstrings.py build/apply helpers Tests cover: no docstring source, no extra kwargs, appending to existing Keyword Args section, inserting after Args, inserting in plain docstrings, multiline descriptions, ordering, and apply_layered_docstring. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add test for propagate_session TypeError on non-AgentSession values Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add tests for multi-content and empty UserInputRequiredException propagation Cover the branching logic in _try_execute_function_calls for: - Multiple user_input_request items in a single exception (extra_user_input_contents path) - Empty contents list (fallback function_result path) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add tests for DurableAIAgent.get_session forwarding service_session_id Verifies get_session correctly forwards service_session_id and session_id to the executor's get_new_session, replacing the removed kwargs test. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify ag-ui test stub to read session from client_kwargs only Remove dual-mode detection (client_kwargs vs raw kwargs fallback) from the test mock. Session is now read exclusively from client_kwargs, matching the settled public calling convention. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated create and get sessions in durable * fixed docstrings * fix test * updated session handling * updated from main * updated tests --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-13 08:58:32 +00:00 -
Python: Implement annotation-based context compaction (#4469)
* Implement annotation-based context compaction Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Handle missing compaction attributes in BaseChatClient Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix CI typing and bandit issues Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Optimize incremental compaction annotation pass Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * refinement * Python: add ToolResultCompactionStrategy and CompactionProvider Add ToolResultCompactionStrategy that collapses older tool-call groups into short summary messages (e.g. [Tool calls: get_weather]) while keeping the most recent groups verbatim. This mirrors the .NET ToolResultCompactionStrategy from PR #4533. Add CompactionProvider as a context-provider that auto-applies compaction before each agent turn and stores compacted history in session state after each turn. Includes tests and samples for both features. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * refinement and alignment with dotnet PR * updated tool result compaction * updated tool result compaction * Python: add ToolResultCompactionStrategy, CompactionProvider, and skip_excluded - ToolResultCompactionStrategy collapses older tool-call groups into [Tool results: func_name: result] summaries with bidirectional tracing (same pattern as SummarizationStrategy). - CompactionProvider as BaseContextProvider with separate before_strategy and after_strategy parameters. before_strategy compacts loaded context; after_strategy compacts stored history via history_source_id. - InMemoryHistoryProvider gains skip_excluded flag to filter out messages marked as excluded by compaction strategies. - Tests, samples, and exports updated. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixed checks * fix mypy * Fix: ensure summary messages from both strategies get full compaction annotations SummarizationStrategy was not calling annotate_message_groups after inserting its summary message, so the summary lacked core group annotations (id, kind, index, has_reasoning, _excluded). Added the missing call. ToolResultCompactionStrategy already had it. Added tests verifying both strategies produce fully annotated summaries. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated propagation * fix mypy --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-11 19:23:00 +00:00 -
Fix Strands Agents documentation links in ADR (#4584)
* Initial plan * Fix broken Strands Agents documentation links in ADR 0001 Replace 5 broken strandsagents.com URLs (returning 404) with stable GitHub source code links in docs/decisions/0001-agent-run-response.md. The Strands Agents docs site restructured from /api-reference/python/ to /api/python/, breaking the old links. Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> * Update Strands Agents links to use official documentation site Replace GitHub source links with official strandsagents.com/docs/api/python/ documentation URLs in docs/decisions/0001-agent-run-response.md. Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> * Update Strands Agents links to use specific documentation URLs - Streaming: strandsagents.com/docs/user-guide/concepts/streaming/ - Structured output: strandsagents.com/docs/user-guide/concepts/agents/structured-output/ - AgentResult/stop_reason: strandsagents.com/docs/api/python/strands.agent.agent_result/#agentresult Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> * Deduplicate Strands AgentResult link in stop-reason row Replaced the duplicate hyperlink on `stop_reason` with inline code, keeping a single AgentResult link to the same URL. Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
Copilot ·
2026-03-10 15:17:23 +00:00 -
ADR: Python context compaction strategy (#3802)
* Add ADR for Python context compaction strategy * Remove async vs sync open question - compact() is async * updated adr * docs: refine context compaction ADR Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated adr * further refinement * renamed and numbered * remove XX version --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-03 20:24:02 +00:00 -
.NET: AgentThread serialization alternatives ADR (#3062)
* AgentThread serialization alternatives ADR * Update decision drivers. * Address some Copilot PR comments. * Fix typo. * Add ChatClientAgentThread to sample code * Address comments, rename ADR and update SLNX.
2026-02-26 14:19:42 +00:00 -
Python: Update workflow orchestration samples to use AzureOpenAIResponsesClient (#4285)
* Update workflow orchestration samples to use AzureOpenAIResponsesClient * Fix broken link
2026-02-26 07:51:25 +00:00 -
Python / .NET Samples - Restructure and Improve Samples (Feature Branc… (#4092)
* Python: .NET Samples - Restructure and Improve Samples (Feature Branch) (#4091) * Moved by agent (#4094) * Fix readme links * .NET Samples - Create `04-hosting` learning path step (#4098) * Agent move * Agent reorderd * Remove A2A section from README Removed A2A section from the Getting Started README. * Agent fixed links * Fix broken sample links in durable-agents README (#4101) * Initial plan * Fix broken internal links in documentation Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * Revert template link changes; keep only durable-agents README fix Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * .NET Samples - Create `03-workflows` learning path step (#4102) * Fix solution project path * Python: Fix broken markdown links to repo resources (outside /docs) (#4105) * Initial plan * Fix broken markdown links to repo resources Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * Update README to rename .NET Workflows Samples section --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * .NET Samples - Create `02-agents` learning path step (#4107) * .NET: Fix broken relative link in GroupChatToolApproval README (#4108) * Initial plan * Fix broken link in GroupChatToolApproval README Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * Update labeler configuration for workflow samples * .NET - Reorder Agents samples to start from Step01 instead of Step04 (#4110) * Fix solution * Resolve new sample paths * Move new AgentSkills and AgentWithMemory_Step04 samples * Fix link * Fix readme path * fix: update stale dotnet/samples/Durable path reference in AGENTS.md Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * Moved new sample * Update solution * Resolve merge (new sample) * Sync to new sample - FoundryAgents_Step21_BingCustomSearch * Updated README * .NET Samples - Configuration Naming Update (#4149) * .NET: Restore AzureFunctions index parity with ConsoleApps under DurableAgents samples (#4221) * Clean-up `05_host_your_agent` * Config setting consistency * Refine samples * AGENTS.md * Move new samples * Re-order samples * Move new project and fixup solution * Fixup model config * Fix up new UT project --------- Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Chris ·
2026-02-26 00:56:10 +00:00 -
Python: Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference (#4207)
* Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference Add embedding client implementations to existing provider packages: - OllamaEmbeddingClient: Text embeddings via Ollama's embed API - BedrockEmbeddingClient: Text embeddings via Amazon Titan on Bedrock - AzureAIInferenceEmbeddingClient: Text and image embeddings via Azure AI Inference, supporting Content | str input with separate model IDs for text (AZURE_AI_INFERENCE_EMBEDDING_MODEL_ID) and image (AZURE_AI_INFERENCE_IMAGE_EMBEDDING_MODEL_ID) endpoints Additional changes: - Rename EmbeddingCoT -> EmbeddingT, EmbeddingOptionsCoT -> EmbeddingOptionsT - Add otel_provider_name passthrough to all embedding clients - Register integration pytest marker in all packages - Add lazy-loading namespace exports for Ollama and Bedrock embeddings - Add image embedding sample using Cohere-embed-v3-english - Add azure-ai-inference dependency to azure-ai package Part of #1188 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix mypy duplicate name and ruff lint issues - Rename second 'vector' variable to 'img_vector' in image embedding loop - Combine nested with statements in tests - Remove unused result assignments in tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updates from feedback * Fix CI failures in embedding usage handling - Fix Azure AI embedding mypy issues by normalizing vectors to list[float], safely accumulating optional usage token fields, and filtering None entries before constructing GeneratedEmbeddings - Avoid Bandit false positive by initializing usage details as an empty dict - Update OpenAI embedding tests to assert canonical usage keys (input_token_count/total_token_count) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-25 17:45:08 +00:00 -
Add Additional Properties ADR (#4246)
* Add Additional Properties ADR * Address PR comments
2026-02-25 14:47:52 +00:00 -
Python: updated integration tests and guidance (#4181)
* updated integration tests and guidance * fixed merge test * updated integration tests * fix: remove duplicate --dist loadfile flag from pytest-xdist config Only one --dist mode can be active at a time; the second value silently overrides the first. Keep --dist worksteal (dynamic load balancing) and remove the redundant --dist loadfile from all workflow files and pyproject.toml configs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: add keep-in-sync notes for merge and integration test workflows Both python-merge-tests.yml and python-integration-tests.yml share the same parallel job structure. Added sync reminders in workflow file comments, the python-testing SKILL.md, and CODING_STANDARD.md. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * refactor: remove RUN_INTEGRATION_TESTS flag Integration test gating now uses two mechanisms: - `@pytest.mark.integration` for test selection via `-m` filtering - `skip_if_*_disabled` for credential/service availability checks The RUN_INTEGRATION_TESTS env var was redundant since the marker handles selection and the skip decorators already check for actual credentials. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: sync missing env vars from merge-tests to integration-tests Add OPENAI_EMBEDDINGS_MODEL_ID and AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME to python-integration-tests.yml to match python-merge-tests.yml. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: remove remaining RUN_INTEGRATION_TESTS from embedding tests and docs Missed test_openai_embedding_client.py and vector-stores README in the earlier cleanup. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * set functions tests to 3.10 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-24 09:35:46 +00:00 -
Python: feat(python): Add embedding abstractions and OpenAI implementation (Phase 1) (#4153)
* feat(python): Add embedding abstractions and OpenAI implementation (Phase 1) This PR contains two parts: 1. **Overall migration plan** for porting vector stores and embeddings from Semantic Kernel to Agent Framework (docs/features/vector-stores-and-embeddings/README.md) covering all 10 phases from core abstractions through connectors and TextSearch. 2. **Phase 1 implementation** — core embedding abstractions and OpenAI/Azure OpenAI embedding clients: Core types (_types.py): - EmbeddingGenerationOptions TypedDict (total=False) - Embedding[EmbeddingT] generic class with model_id, dimensions, created_at - GeneratedEmbeddings[EmbeddingT, EmbeddingOptionsT] list container with options, usage - EmbeddingInputT (default str) and EmbeddingT (default list[float]) TypeVars Protocol + base class (_clients.py): - SupportsGetEmbeddings protocol — Generic[EmbeddingInputT, EmbeddingT, OptionsContraT] - BaseEmbeddingClient ABC — Generic[EmbeddingInputT, EmbeddingT, OptionsCoT] Telemetry (observability.py): - EmbeddingTelemetryLayer with gen_ai.operation.name = "embeddings" OpenAI implementation (openai/_embedding_client.py): - RawOpenAIEmbeddingClient, OpenAIEmbeddingClient, OpenAIEmbeddingOptions - Uses _ensure_client() factory pattern Azure OpenAI implementation (azure/_embedding_client.py): - AzureOpenAIEmbeddingClient following AzureOpenAIChatClient pattern - Supports API key, Entra ID credentials, env var configuration Tests: - 47 unit tests for types, protocol, base class, OpenAI, and Azure clients - 6 integration tests (gated behind RUN_INTEGRATION_TESTS + credentials) Samples: - samples/02-agents/embeddings/openai_embeddings.py - samples/02-agents/embeddings/azure_openai_embeddings.py Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Add AzureOpenAIEmbeddingClient to azure __init__.pyi stub Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * ci: Add embedding env vars to Python integration tests Map OPENAI_EMBEDDING_MODEL_ID and AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME from GitHub vars to the integration test environment. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Handle base64 encoding_format in OpenAI embedding client When encoding_format='base64' is used, the OpenAI API returns base64-encoded floats instead of a JSON array. Decode these automatically to list[float] so the return type stays consistent regardless of encoding format. Also adds a unit test for base64 decoding and fixes minor docstring/import issues. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Only record INPUT_TOKENS for embedding telemetry Embeddings have no output/completion tokens. Remove OUTPUT_TOKENS recording which was double-counting prompt_tokens via the total_tokens fallback. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Resolve mypy variance error and lint warning Use contravariant/covariant TypeVars for SupportsGetEmbeddings Protocol. Combine nested if into single statement in telemetry layer. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Make EmbeddingCoT invariant for mypy compatibility GeneratedEmbeddings is invariant in its type param, so the Protocol TypeVar cannot be covariant. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Address PR review - empty values guard, service_url for telemetry - Add early return for empty values in get_embeddings to avoid unnecessary API calls - Add service_url() method to RawOpenAIEmbeddingClient for proper telemetry endpoint reporting - Add test for empty values behavior Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix OpenAI chat client compatibility with third-party endpoints and OTel 0.4.14 (#4161) * Fix system message content sent as list instead of string Some OpenAI-compatible endpoints (e.g. NVIDIA NIM) reject system messages when content is a list of content parts. This change flattens system and developer message content to a plain string in the Chat Completions client. Fixes https://github.com/microsoft/agent-framework/issues/1407 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix compatibility with opentelemetry-semantic-conventions-ai 0.4.14 Version 0.4.14 removed several LLM_* attributes from SpanAttributes (LLM_SYSTEM, LLM_REQUEST_MODEL, LLM_RESPONSE_MODEL, LLM_REQUEST_MAX_TOKENS, LLM_REQUEST_TEMPERATURE, LLM_REQUEST_TOP_P, LLM_TOKEN_TYPE). Move these to the OtelAttr enum with their well-known gen_ai.* string values and update all references in observability.py and tests. Fixes https://github.com/microsoft/agent-framework/issues/4160 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Flatten text-only message content to string for all roles Extend the system/developer fix to all message roles. Text-only content lists are now post-processed into plain strings, while multimodal content (text + images/audio) remains as a list. This fixes compatibility with OpenAI-like endpoints that cannot deserialize list content (e.g. Foundry Local's Neutron backend). Partially fixes https://github.com/microsoft/agent-framework/issues/4084 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix streaming text lost when usage data in same chunk Some providers (e.g. Gemini) include both usage data and text content in the same streaming chunk. The early return on chunk.usage caused text and tool call parsing to be skipped entirely. Remove the early return and process usage alongside text/tool calls. Fixes https://github.com/microsoft/agent-framework/issues/3434 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix mypy errors in _chat_client.py Rename shadowed variable 'args' in system/developer branch to 'sys_args' and rename loop variable 'content' to 'msg_content' to avoid type conflict. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * reorder imports * fix: Use OtelAttr.REQUEST_MODEL instead of removed SpanAttributes.LLM_REQUEST_MODEL Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: Add score_threshold to vector store plan Reference SK .NET PR #13501 for score threshold filtering semantics. Include score_threshold in SearchOptions from Phase 3. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: Add reference to roji's SK .NET MEVD work for SQL connectors Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Clear env vars in construction tests to avoid CI leakage Tests for missing API key / model ID now use monkeypatch.delenv to ensure env vars from the integration test environment don't prevent the expected ValueError from being raised. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-24 07:40:20 +00:00 -
Python: Add Foundry Memory Context Provider (#3943)
* Initial plan * Add FoundryMemoryProvider and tests Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Add sample and documentation for FoundryMemoryProvider Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address code review feedback for FoundryMemoryProvider Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address PR review comments: Add DEFAULT_SOURCE_ID, use logging.getLogger, move state to session.state Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Fix Foundry memory ItemParam usage and exports Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Refactor provider hook state and standardize source IDs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Support endpoint-based Foundry memory init Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated implementation and sample * updated code and samples * Fix foundry memory provider tests: mock structure and field names - Use Mock objects with memory_item.content for memory mocks - Assert 'content' instead of 'text' on SDK message items - Update exception types from ServiceInitializationError to ValueError - Remove unused ServiceInitializationError import Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix mypy errors in foundry memory provider Add type: ignore[arg-type] for scope (str | None vs str) and items (list variance) passed to Azure SDK methods. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix import --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> Co-authored-by: eavanvalkenburg <github@vanvalkenburg.eu> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-24 06:05:53 +00:00 -
General Durable Agents documentation (#3972)
* General Durable Agents documentation * Add missing Python package references * Remove invalid GitHub repo URL
Chris Gillum ·
2026-02-17 23:19:50 +00:00 -
Python: [BREAKING] Scope provider state by source_id and standardize source IDs (#3995)
* Initial plan * Add FoundryMemoryProvider and tests Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Add sample and documentation for FoundryMemoryProvider Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address code review feedback for FoundryMemoryProvider Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address PR review comments: Add DEFAULT_SOURCE_ID, use logging.getLogger, move state to session.state Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Fix Foundry memory ItemParam usage and exports Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Refactor provider hook state and standardize source IDs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Support endpoint-based Foundry memory init Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix core README workflows link Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated implementation and sample * Split out Foundry memory provider changes Remove FoundryMemoryProvider implementation/tests/sample plus export and docs mentions from this branch so only non-Foundry changes remain. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger CI rerun for PR #3995 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-17 19:12:28 +00:00 -
.NET: [Breaking] Structured Output improvements (#3761)
* .NET: Delete AgentResponse.{Try}Deserialize<T> methods (#3518) * delete deserialize method of agent response * order usings * Update dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step05_StructuredOutput/Program.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update dotnet/samples/GettingStarted/Workflows/_Foundational/08_WriterCriticWorkflow/Program.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update dotnet/samples/GettingStarted/AGUI/Step05_StateManagement/Server/SharedStateAgent.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update dotnet/samples/AGUIClientServer/AGUIDojoServer/SharedState/SharedStateAgent.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update dotnet/samples/M365Agent/Agents/WeatherForecastAgent.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * .NET:[Breaking] Add support for structured output (#3658) * add support for so * restore lost xml comment part * fix using ordering * Update dotnet/src/Microsoft.Agents.AI.Abstractions/AIAgentStructuredOutput.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update dotnet/src/Microsoft.Agents.AI.Abstractions/AIAgentStructuredOutput.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_SO_WithFormatResponseTests.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * addressw pr review comments * address pr review feedback * address pr review comments * fix compilation issues after the latest merge with main * remove unnecessry options * remove RunAsync<object> methods * address code review feedback * address pr review feedback * make copy constructor protected * address pr review feedback --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * .NET: Add decorator for structured output support (#3694) * add decorator that adds structured output support to agents that don't natively support it. * Update dotnet/src/Microsoft.Agents.AI/StructuredOutput/StructuredOutputAgentResponse.cs Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> * Update dotnet/samples/GettingStarted/Agents/Agent_Step05_StructuredOutput/Program.cs Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> * address pr review feedback --------- Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> * .NET: Support primitives and arrays for SO (#3696) * wrap primitives and arrays * fix file encoding * address review comments * add adr * add missed change * fix compilation issue * address review comments * rename adr file name * reflect decision to have SO decorator as a reference implementation in samples * .NET: Move SO agent to samples (#3820) * move SO agent to samples * change file encoding * fix files encoding * .NET: Preserve caller context (#3803) * fix stuck orchestration * add previously removed RunAsync<T> method to DurableAIAgent * suppress IDE0005 warning * update changelog and remove unused constructor of AgentResponse<T> * updatge the changelog * address PR review feedback * .NET: Disable irrelevant integration test (#3913) * disable irrelevant integration test * Update dotnet/tests/AzureAI.IntegrationTests/AIProjectClientAgentStructuredOutputRunTests.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * forgotten change * address pr review feedback * disable intermittently failing integration test. --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: westey <164392973+westey-m@users.noreply.github.com>2026-02-13 17:03:51 +00:00 -
Python: restructure: Python samples into progressive 01-05 layout (#3862)
* restructure: Python samples into progressive 01-05 layout - 01-get-started/: 6 numbered steps (hello agent → hosting) - 02-agents/: all agent concept samples (tools, middleware, providers, etc.) - 03-workflows/: ALL existing workflow samples preserved as-is - 04-hosting/: azure-functions, durabletask, a2a - 05-end-to-end/: demos, evaluation, hosted agents - Old files moved to _to_delete/ for review - Added AGENTS.md with structure documentation - autogen-migration/ and semantic-kernel-migration/ preserved at root * fix: switch to AzureOpenAI Foundry, fix CI failures - Switch all 01-get-started samples to AzureOpenAIResponsesClient with Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential) - Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes - Fix test paths in packages/ that referenced old getting_started/ dirs: durabletask conftest + streaming test, azurefunctions conftest, devui conftest + capture_messages + openai_sdk_integration - Fix workflow_as_agent_human_in_the_loop.py import (sibling import) - Update hosting READMEs and tool comment paths - Replace root README.md with new structure overview - Update AGENTS.md to document Azure OpenAI Foundry as default provider * cleanup: remove _to_delete folder, copy resource files to active dirs All files in _to_delete/ were either: - Exact duplicates of files in the new structure (240 files) - Same file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since active samples reference them. * fix: address PR review comments, centralize resources, remove root duplicates - Fix type annotation in 04_memory.py (string union -> proper types) - Fix old sample paths in observability files - Fix grammar/spelling in observability samples - Move sample_assets/ and resources/ to shared/ folder - Remove 8 duplicate observability files from 02-agents root - Update resource path references in multimodal_input and provider samples * fix: update broken links from old getting_started paths to new structure - Update relative paths in READMEs: getting_started/ → 01-get-started/, 02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/ - Fix absolute GitHub URLs in package READMEs - Fix broken link in ollama package README * fix: convert absolute GitHub URLs to relative paths for link checker Absolute URLs to python/samples/ on main branch 404 until PR merges. Converted to relative paths that linkspector can verify locally. * fix: update link for handoff sample moved to orchestrations/ * fix: update chatkit-integration README path from demos/ to 05-end-to-end/ * fix: update broken links in orchestrations README to match flat directory structure
2026-02-12 17:36:36 +00:00 -
Python: ADR: Unifying Context Management with ContextMiddleware (Python) (#3609)
* Add ADR for Python ContextMiddleware unification * Add session serialization/deserialization design to ADR * Add Related Issues section mapping to ADR * Update session management: create_session, get_session_by_id, agent.serialize_session * ADR: Add hooks alternative, context compaction discussion, and PR feedback - Add Option 3: ContextHooks with before_run/after_run pattern - Add detailed pros/cons for both wrapper and hooks approaches - Add Open Discussion section on context compaction strategies - Clarify response_messages is read-only (use AgentMiddleware for modifications) - Add SimpleRAG examples showing input-only filtering - Clarify default storage only added when NO middleware configured - Add RAGWithBuffer examples for self-managed history - Rename hook methods to before_run/after_run * ADR: Restructure and add .NET comparison - Add class hierarchy clarification for both options - Merge detailed design sections (side-by-side comparison) - Move detailed design before decision outcome - Move compaction discussion after decision - Add .NET implementation comparison (feature equivalence) - Update .NET method names to match actual implementation - Rename hook methods to before_run/after_run - Fix storage context table for injected context * tweaks * fix smart load * ADR: Add naming discussion note for ContextHooks - Note that class and method names are open for discussion - Add alternative method naming options table - Include invoking/invoked as option matching current Python and .NET * Update context middleware design: remove smart mode, add attribution filtering - Remove smart mode for load_messages (now explicit bool, default True) - Add attribution marker in additional_properties for message filtering - Update validation to warn on multiple or zero storage loaders - Add note about ChatReducer naming from .NET - Note that attribution should not be propagated to storage * Add Decision 2: Instance Ownership (instances in session vs agent) - Option A: Instances in Session (current proposal) - Option B: Instances in Agent, State in Session - B1: Simple dict state with optional return - B2: SessionState object with mutable wrapper - Updated examples to use Hooks pattern (before_run/after_run) - Added open discussion on hook factories in Option B model * Update ADR: Choose ContextPlugin with before_run/after_run and Option B1 Decision outcomes: - Option 3 (Hooks pattern) with ContextPlugin class name - Methods: before_run/after_run - Option B1: Instances in Agent, State in Session (simple dict) - Whole state dict passed to plugins (mutable, no return needed) - Added trust note: plugins reason over messages, so they're trusted by default Status changed from proposed to accepted. * Add agent and session params to before_run/after_run methods Signature now: before_run(agent, session, context, state) * Remove ContextPluginRunner, store plugins directly on agent Simpler design: agent stores Sequence[ContextPlugin] and calls before_run/after_run directly in the run method. * Update workplan to 2 PRs for simpler review * updated doc * Refine ADR: serialization, ownership, decorators, session methods, exports - Add to_dict()/from_dict() on AgentSession with 'type' discriminator - Present serialization as Option A (direct) vs Option B (through agent) - Rewrite ownership section as 2x2 matrix (orthogonal decision) - Move Instance Ownership Options before Decision Outcome - Fix get_session to use service_session_id, split from create_session - Add decorator-based provider convenience API (@before_run/@after_run) - Add _ prefix naming strategy for all PR1 types (core + external) - Constructor compatibility table for existing providers - Add load_messages=False skip logic to all agent run loops - Clarify abstract vs non-abstract in execution pattern samples - Update auto-provision: trigger on conversation_id or store=True - Document root package exports (ContextProvider, HistoryProvider, etc.) - Rename section heading to 'Key Design Considerations' * Rename ADR to 0016-python-context-middleware.md * Fix broken link: #3-unified-storage-middleware → #3-unified-storage
2026-02-10 04:50:54 +00:00 -
Python: [BREAKING] Moved to a single get_response and run API (#3379)
* WIP * big update to new ResponseStream model * fixed tests and typing * fixed tests and typing * fixed tools typevar import * fix * mypy fix * mypy fixes and some cleanup * fix missing quoted names * and client * fix imports agui * fix anthropic override * fix agui * fix ag ui * fix import * fix anthropic types * fix mypy * refactoring * updated typing * fix 3.11 * fixes * redid layering of chat clients and agents * redid layering of chat clients and agents * Fix lint, type, and test issues after rebase - Add @overload decorators to AgentProtocol.run() for type compatibility - Add missing docstring params (middleware, function_invocation_configuration) - Fix TODO format (TD002) by adding author tags - Fix broken observability tests from upstream: - Replace non-existent use_instrumentation with direct instantiation - Replace non-existent use_agent_instrumentation with AgentTelemetryLayer mixin - Fix get_streaming_response to use get_response(stream=True) - Add AgentInitializationError import - Update streaming exception tests to match actual behavior * Fix AgentExecutionException import error in test_agents.py - Replace non-existent AgentExecutionException with AgentRunException * Fix test import and asyncio deprecation issues - Add 'tests' to pythonpath in ag-ui pyproject.toml for utils_test_ag_ui import - Replace deprecated asyncio.get_event_loop().run_until_complete with asyncio.run * Fix azure-ai test failures - Update _prepare_options patching to use correct class path - Fix test_to_azure_ai_agent_tools_web_search_missing_connection to clear env vars * Convert ag-ui utils_test_ag_ui.py to conftest.py - Move test utilities to conftest.py for proper pytest discovery - Update all test imports to use conftest instead of utils_test_ag_ui - Remove old utils_test_ag_ui.py file - Revert pythonpath change in pyproject.toml * fix: use relative imports for ag-ui test utilities * fix agui * Rename Bare*Client to Raw*Client and BaseChatClient - Renamed BareChatClient to BaseChatClient (abstract base class) - Renamed BareOpenAIChatClient to RawOpenAIChatClient - Renamed BareOpenAIResponsesClient to RawOpenAIResponsesClient - Renamed BareAzureAIClient to RawAzureAIClient - Added warning docstrings to Raw* classes about layer ordering - Updated README in samples/getting_started/agents/custom with layer docs - Added test for span ordering with function calling * Fix layer ordering: FunctionInvocationLayer before ChatTelemetryLayer This ensures each inner LLM call gets its own telemetry span, resulting in the correct span sequence: chat -> execute_tool -> chat Updated all production clients and test mocks to use correct ordering: - ChatMiddlewareLayer (first) - FunctionInvocationLayer (second) - ChatTelemetryLayer (third) - BaseChatClient/Raw...Client (fourth) * Remove run_stream usage * Fix conversation_id propagation * Python: Add BaseAgent implementation for Claude Agent SDK (#3509) * Added ClaudeAgent implementation * Updated streaming logic * Small updates * Small update * Fixes * Small fix * Naming improvements * Updated imports * Addressed comments * Updated package versions * Update Claude agent connector layering * fix test and plugin * Store function middleware in invocation layer * Fix telemetry streaming and ag-ui tests * Remove legacy ag-ui tests folder * updates * Remove terminate flag from FunctionInvocationContext, use MiddlewareTermination instead - Remove terminate attribute from FunctionInvocationContext - Add result attribute to MiddlewareTermination to carry function results - FunctionMiddlewarePipeline.execute() now lets MiddlewareTermination propagate - _auto_invoke_function captures context.result in exception before re-raising - _try_execute_function_calls catches MiddlewareTermination and sets should_terminate - Fix handoff middleware to append to chat_client.function_middleware directly - Update tests to use raise MiddlewareTermination instead of context.terminate - Add middleware flow documentation in samples/concepts/tools/README.md - Fix ag-ui to use FunctionMiddlewarePipeline instead of removed create_function_middleware_pipeline * fix: remove references to removed terminate flag in purview tests, add type ignore * fix: move _test_utils.py from package to test folder * fix: call get_final_response() to trigger context provider notification in streaming test * fix: correct broken links in tools README * docs: clarify default middleware behavior in summary table * fix: ensure inner stream result hooks are called when using map()/from_awaitable() * Fix mypy type errors * Address PR review comments on observability.py - Remove TODO comment about unconsumed streams, add explanatory note instead - Remove redundant _close_span cleanup hook (already called in _finalize_stream) - Clarify behavior: cleanup hooks run after stream iteration, if stream is not consumed the span remains open until garbage collected * Remove gen_ai.client.operation.duration from span attributes Duration is a metrics-only attribute per OpenTelemetry semantic conventions. It should be recorded to the histogram but not set as a span attribute. * Remove duration from _get_response_attributes, pass directly to _capture_response Duration is a metrics-only attribute. It's now passed directly to _capture_response instead of being included in the attributes dict that gets set on the span. * Remove redundant _close_span cleanup hook in AgentTelemetryLayer _finalize_stream already calls _close_span() in its finally block, so adding it as a separate cleanup hook is redundant. * Use weakref.finalize to close span when stream is garbage collected If a user creates a streaming response but never consumes it, the cleanup hooks won't run. Now we register a weak reference finalizer that will close the span when the stream object is garbage collected, ensuring spans don't leak in this scenario. * Fix _get_finalizers_from_stream to use _result_hooks attribute Renamed function to _get_result_hooks_from_stream and fixed it to look for the _result_hooks attribute which is the correct name in ResponseStream class. * Add missing asyncio import in test_request_info_mixin.py * Fix leftover merge conflict marker in image_generation sample * Update integration tests * Fix integration tests: increase max_iterations from 1 to 2 Tests with tool_choice options require at least 2 iterations: 1. First iteration to get function call and execute the tool 2. Second iteration to get the final text response With max_iterations=1, streaming tests would return early with only the function call/result but no final text content. * Fix duplicate function call error in conversation-based APIs When using conversation_id (for Responses/Assistants APIs), the server already has the function call message from the previous response. We should only send the new function result message, not all messages including the function call which would cause a duplicate ID error. Fix: When conversation_id is set, only send the last message (the tool result) instead of all response.messages. * Add regression test for conversation_id propagation between tool iterations Port test from PR #3664 with updates for new streaming API pattern. Tests that conversation_id is properly updated in options dict during function invocation loop iterations. * Fix tool_choice=required to return after tool execution When tool_choice is 'required', the user's intent is to force exactly one tool call. After the tool executes, return immediately with the function call and result - don't continue to call the model again. This fixes integration tests that were failing with empty text responses because with tool_choice=required, the model would keep returning function calls instead of text. Also adds regression tests for: - conversation_id propagation between tool iterations (from PR #3664) - tool_choice=required returns after tool execution * Document tool_choice behavior in tools README - Add table explaining tool_choice values (auto, none, required) - Explain why tool_choice=required returns immediately after tool execution - Add code example showing the difference between required and auto - Update flow diagram to show the early return path for tool_choice=required * Fix tool_choice=None behavior - don't default to 'auto' Remove the hardcoded default of 'auto' for tool_choice in ChatAgent init. When tool_choice is not specified (None), it will now not be sent to the API, allowing the API's default behavior to be used. Users who want tool_choice='auto' can still explicitly set it either in default_options or at runtime. Fixes #3585 * Fix tool_choice=none should not remove tools In OpenAI Assistants client, tools were not being sent when tool_choice='none'. This was incorrect - tool_choice='none' means the model won't call tools, but tools should still be available in the request (they may be used later in the conversation). Fixes #3585 * Add test for tool_choice=none preserving tools Adds a regression test to ensure that when tool_choice='none' is set but tools are provided, the tools are still sent to the API. This verifies the fix for #3585. * Fix tool_choice=none should not remove tools in all clients Apply the same fix to OpenAI Responses client and Azure AI client: - OpenAI Responses: Remove else block that popped tool_choice/parallel_tool_calls - Azure AI: Remove tool_choice != 'none' check when adding tools When tool_choice='none', the model won't call tools, but tools should still be sent to the API so they're available for future turns. Also update README to clarify tool_choice=required supports multiple tools. Fixes #3585 * Keep tool_choice even when tools is None Move tool_choice processing outside of the 'if tools' block in OpenAI Responses client so tool_choice is sent to the API even when no tools are provided. * Update test to match new parallel_tool_calls behavior Changed test_prepare_options_removes_parallel_tool_calls_when_no_tools to test_prepare_options_preserves_parallel_tool_calls_when_no_tools to reflect that parallel_tool_calls is now preserved even when no tools are present, consistent with the tool_choice behavior. * Fix ChatMessage API and Role enum usage after rebase - Update ChatMessage instantiation to use keyword args (role=, text=, contents=) - Fix Role enum comparisons to use .value for string comparison - Add created_at to AgentResponse in error handling - Fix AgentResponse.from_updates -> from_agent_run_response_updates - Fix DurableAgentStateMessage.from_chat_message to convert Role enum to string - Add Role import where needed * Fix additional ChatMessage API and method name changes - Fix ChatMessage usage in workflow files (use text= instead of contents= for strings) - Fix AgentResponse.from_updates -> from_agent_run_response_updates in workflow files - Fix test files for ChatMessage and Role enum usage * Fix remaining ChatMessage API usage in test files * Fix more ChatMessage and Role API changes in source and test files - Fix ChatMessage in _magentic.py replan method - Fix Role enum comparison in test assertions - Fix remaining test files with old ChatMessage syntax * Fix ChatMessage and Role API changes across packages - Add Role import where missing - Fix ChatMessage signature: positional args to keyword args (role=, text=, contents=) - Fix Role enum comparisons: .role.value instead of .role string - Fix FinishReason enum usage in ag-ui event converters - Rename AgentResponse.from_updates to from_agent_run_response_updates in ag-ui Fixes API compatibility after Types API Review improvements merge * Fix ChatMessage and Role API changes in github_copilot tests * Fix ChatMessage and Role API changes in redis and github_copilot packages - Fix redis provider: Role enum comparison using .value - Fix redis tests: ChatMessage signature and Role comparisons - Fix github_copilot tests: ChatMessage signature and Role comparisons - Update docstring examples in redis chat message store * Fix ChatMessage and Role API changes in devui package - Fix executor: ChatMessage signature change - Fix conversations: Role enum to string conversion in two places - Fix tests: ChatMessage signatures and Role comparisons * Fix ChatMessage and Role API changes in a2a and lab packages - Fix a2a tests: Role comparisons and ChatMessage signatures - Fix lab tau2 source: Role enum comparison in flip_messages, log_messages, sliding_window - Fix lab tau2 tests: ChatMessage signatures and Role comparisons * Remove duplicate test files from ag-ui/tests (tests are in ag_ui_tests) * Fix ChatMessage and Role API changes across packages After rebasing on upstream/main which merged PR #3647 (Types API Review improvements), fix all packages to use the new API: - ChatMessage: Use keyword args (role=, text=, contents=) instead of positional args - Role: Compare using .value attribute since it's now an enum Packages fixed: - ag-ui: Fixed Role value extraction bugs in _message_adapters.py - anthropic: Fixed ChatMessage and Role comparisons in tests - azure-ai: Fixed Role comparison in _client.py - azure-ai-search: Fixed ChatMessage and Role in source/tests - bedrock: Fixed ChatMessage signatures in tests - chatkit: Fixed ChatMessage and Role in source/tests - copilotstudio: Fixed ChatMessage and Role in tests - declarative: Fixed ChatMessage in _executors_agents.py - mem0: Fixed ChatMessage and Role in source/tests - purview: Fixed ChatMessage in source/tests * Fix mypy errors for ChatMessage and Role API changes - durabletask: Use str() fallback in role value extraction - core: Fix ChatMessage in _orchestrator_helpers.py to use keyword args - core: Add type ignore for _conversation_state.py contents deserialization - ag-ui: Fix type ignore comments (call-overload instead of arg-type) - azure-ai-search: Fix get_role_value type hint to accept Any - lab: Move get_role_value to module level with Any type hint * Improve CI test timeout configuration - Increase job timeout from 10 to 15 minutes - Reduce per-test timeout to 60s (was 900s/300s) - Add --timeout_method thread for better timeout handling - Add --timeout-verbose to see which tests are slow - Reduce retries from 3 to 2 and delay from 10s to 5s This ensures individual test timeouts are shorter than the job timeout, providing better visibility when tests hang. With 60s timeout and 2 retries, worst case per test is ~180s. * Fix ChatMessage API usage in docstrings and source - Fix ChatMessage positional args in docstrings: _serialization.py, _threads.py, _middleware.py - Fix ChatMessage in tau2 runner.py - Fix role comparison in _orchestrator_helpers.py to use .value - Fix role comparison in _group_chat.py docstring example - Fix role assertions in test_durable_entities.py to use .value * Revert tool_choice/parallel_tool_calls changes - must be removed when no tools OpenAI API requires tool_choice and parallel_tool_calls to only be present when tools are specified. Restored the logic that removes these options when there are no tools. - Restored check in _chat_client.py to remove tool_choice and parallel_tool_calls when no tools present - Restored same logic in _responses_client.py - Reverted test to expect the correct behavior * fixed issue in tests * fix: resolve merge conflict markers in ag-ui tests * fix: restructure ag-ui tests and fix Role/FinishReason to use string types * fix: streaming function invocation and middleware termination - Refactor streaming function invocation to use get_final_response() on inner streams - Fix MiddlewareTermination to accept result parameter for passing results - Fix _AutoHandoffMiddleware to use MiddlewareTermination instead of context.terminate - Fix AgentMiddlewareLayer.run() to properly forward function/chat middleware - Remove duplicate middleware registration in AgentMiddlewareLayer.__init__ - Fix exception handling in _auto_invoke_function to properly capture termination - Fix mypy errors in core package - Update tests to use stream=True parameter for unified run API * fix all tests command * Refactor integration tests to use pytest fixtures - Merge testutils.py into conftest.py for azurefunctions integration tests - Merge dt_testutils.py into conftest.py for durabletask integration tests - Convert all integration tests to use fixtures instead of direct imports (fixes ModuleNotFoundError with --import-mode=importlib) - Add sample_helper fixture for azurefunctions tests - Add agent_client_factory and orchestration_helper fixtures for durabletask - Integration tests now skip with descriptive messages when services unavailable - Restructure devui tests into tests/devui/ with proper conftest.py - Add test organization guidelines to CODING_STANDARD.md - Remove __init__.py from test directories per pytest best practices * Fix pytest_collection_modifyitems to only skip integration tests The hook was skipping all tests in the test session, not just integration tests. Now it only skips items in the integration_tests directory. * Fix mem0 tests failing on Python 3.13 Use patch.object on the imported module instead of @patch with string path to ensure the mock takes effect regardless of import timing. * fix mem0 * another attempt for mem0 * fix for mem0 * fix mem0 * Increase worker initialization wait time in durabletask tests Increase from 2 to 8 seconds to allow time for: - Python startup and module imports - Azure OpenAI client creation - Agent registration with DTS worker - Worker connection to DTS This helps prevent test failures in CI where the first tests may run before the worker is fully ready to process requests. * Fix streaming test to use ResponseStream with finalizer The _consume_stream method now expects a ResponseStream that can provide a final AgentResponse via get_final_response(). Update the test to use ResponseStream with AgentResponse.from_updates as the finalizer. * Fix MockToolCallingAgent to use new ResponseStream API and update samples * small updates to run_stream to run * fix sub workflow * temp fix for az func test --------- Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
2026-02-05 20:09:58 +00:00 -
.NET: Adding AgentRunContext to allow accessing agent run info in external downstream components (#3476)
* Add an AsyncLocal AgentRunContext * Update AgentRunContext session naming * Make AgentRunContext readonly and add ADR * Make session nullable and add unit tests * Add unit tests for setting the context in AIAgent * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Fix sample in ADR * Fix broken unit test * Add unit test for checking if middleware can access AgentRunContext * Fix build error after merge. * Fix AgentRunContextTests after merge from main --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-02-05 09:45:24 +00:00 -
2026-01-22 09:17:32 +00:00 -
.NET: [Breaking] Rename
AgentRunResponseandAgentRunResponseUpdateclasses (#3197)* rename AgentRunResponse and AgentRunResponseUpdate classes - part1 * rename varialbles, parameters, methods and tests * rollback unnecessary changes
2026-01-14 10:27:41 +00:00 -
Python: ADR for simplified get response (#3098)
* ADR for simplified get response * updated some language, added agent option and code comparison * small update in sample * added workflows and expanded some points * changed decision and number * updated with stream=False default
2026-01-14 08:50:34 +00:00 -
Python: ADR for create/get agent API (#2618)
* ADR for create/get agent API * Updated ADR with implementation options * Small updates * Updated decision outcome section * Updated broken links * Small updates * Fixed merge conflicts * Small fix * Updated decision outcome section * Small fixes * Updated provider naming based on client SDK
Dmytro Struk ·
2026-01-13 18:55:05 +00:00 -
Python: [BREAKING]: Introducing Options as TypedDict and Generic (#3140)
* WIP typeddict for options * updated all clients and ChatAgents * updated everything * added ADR * fix mypy * proper typevar imports * fixed import * fixed other imports * slight update in the sample * updated from feedback * fixes * fixed missing covariants and test fixes * fixed typing * updated anthropic thinking config * ruff fixes * fixed int tests * fix tests and mypy * updated integration tests * updated docstring and test fix * improved options handling in obser * mypy fix * updated a host of integration tests * fix tests * bedrock fix
2026-01-13 16:41:05 +00:00 -
Fix broken strands urls. (#3102)
* Fix broken strands urls. * Fix typos
2026-01-06 14:55:29 +00:00 -
.NET: Add TTLs to durable agent sessions (#2679)
* .NET: Add TTLs to durable agent sessions * Remove unnecessary async * PR feedback: clarify UTC * PR feedback: limit minimum signal delay to <= 5 minutes * PR feedback: Fix TTL disablement * Linter: use auto-property * Fix build break from OpenAI SDK change * Updated CHANGELOG.md * PR feedback * Reduce default TTL to 14 days to work around DTS bug
2025-12-16 18:11:44 +00:00 -
Shawn Henry ·
2025-11-08 07:27:33 +00:00 -
Jeff Handley ·
2025-11-06 22:11:00 +00:00 -
.NET: AG-UI support for .NET (#1776)
* Initial plan * Infrastructure setup * Plan for minimal client * Plan update * Basic agentic chat * cleanup * Cleanups * More cleanups * Cleanups * More cleanups * Test plan * Sample * Fix streaming and error handling * Fix notifications * Cleanups * cleanup sample * Additional tests * Additional tests * Run dotnet format * Remove unnecessary files * Mark packages as non packable * Fix build * Address feedback * Fix build * Fix remaining warnings * Feedback * Feedback and cleanup * Cleanup * Cleanups * Cleanups * Cleanups * Retrieve existing messages from the store to send them along the way and update the sample client * Run dotnet format * Add ADR for AG-UI * Switch to use the SG and use a convention for run ids * Cleanup MapAGUI API * Fix formatting * Fix solution * Fix solution
Javier Calvarro Nelson ·
2025-11-05 15:51:37 +00:00 -
Python: Lab: Updates to GAIA module (#1763)
* Lab: Updates to GAIA module * update * emoj! * fix lint * update lab test workflow to only trigger for python changes * lint * lint * Fix broken OpenAI agents JS documentation link
Eric Zhu ·
2025-10-30 22:02:31 +00:00 -
.NET: Add support for background responses (#1501)
* add support for background responses * Update dotnet/src/Microsoft.Agents.AI.Abstractions/AgentRunResponseUpdate.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * fix broken link * fix xml comments and background responses properties override funcitonity * change ai model provider * use Run{Streaming}Async overloads that don't require messages * stop using m: prefix in cref attribute of <see/> element. * reject input messages provided with continuation token + don't extract messages from message store and context provide if continuation token is provided * use agent thread for background-responses sample * require agent thread for background responses * Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> * Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> * remove CA1200 * Update dotnet/src/Microsoft.Agents.AI.Abstractions/AgentRunOptions.cs Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> * Update dotnet/src/Microsoft.Agents.AI.Abstractions/AgentRunResponse.cs Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> * Update dotnet/src/Microsoft.Agents.AI.Abstractions/AgentRunResponse.cs Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> * address pr review comments * Update dotnet/samples/GettingStarted/Agents/Agent_Step17_BackgroundResponses/Program.cs Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Co-authored-by: westey <164392973+westey-m@users.noreply.github.com>
2025-10-22 17:43:57 +00:00 -
.NET: Add sample showing how to create ai function per a2a skill (#1452)
* add sample showing how to create ai function per a2a skill * Update dotnet/src/Microsoft.Agents.AI.A2A/Extensions/A2AAgentCardExtensions.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update dotnet/samples/GettingStarted/A2A/A2AAgent_AsFunctionTools/Program.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update dotnet/samples/GettingStarted/A2A/A2AAgent_AsFunctionTools/Program.cs Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> * address pr review comments * rename local function * add readmes * fix broken links --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
2025-10-14 17:57:19 +00:00 -
docs: add missing pre flag (#1130)
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Vincent Koc ·
2025-10-02 18:50:47 +00:00 -
.NET: Add link inspector (#1062)
* Add link inspector * Comment out excludedirs while it's empty * Fix broken links * More links fixes * Push further fixes * Fix more links
2025-10-01 16:43:17 +00:00