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Python: (ag-ui): Add Workflow Support, Harden Streaming Semantics, and add Dynamic Handoff Demo (#3911)
* fix Workflow.as_agent() streaming regression in ag-ui * Address PR feedback * workflows wip * wip * wip * Workflow AG-UI demo * Fixes for handoff workflow demo * Fixes to workflows support in AG-UI * Fixes * Add headers to some demo files * Fix comment * Fixes for store * Make _input_schema lazy-loaded * fix mypy * revert session change to handoff only for now --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
Evan Mattson ·
2026-02-23 11:59:56 +00:00 -
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>
Eduard van Valkenburg ·
2026-02-23 10:05:36 +00:00 -
Python: Add more unit test coverage gates (#4104)
* Add more unit test coverage gates * Fix missing `files` parameter in `print_coverage_table()` docstring (#4106) * Initial plan * Update print_coverage_table docstring to document files parameter Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com> --------- Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>
Tao Chen ·
2026-02-19 22:57:21 +00:00 -
Python: fix reasoning model workflow handoff and history serialization (#4083)
* fix: strip function_call and text_reasoning from cross-agent workflow handoff When a reasoning model (e.g. gpt-5-mini) runs as Agent 1 in a workflow, its response includes text_reasoning items (with server-scoped IDs like rs_XXXX) and function_call items. Forwarding these to Agent 2 in a fresh conversation caused API errors because the reasoning/call IDs are scoped to the original stored response context. Changes: - Strip 'function_call', 'text_reasoning', 'function_approval_request', and 'function_approval_response' from handoff messages in _agent_executor.py - Keep 'function_result' so the actual tool output content is preserved for the next agent's context - Update unit tests to reflect that function_result messages survive handoff (messages grow from 2→3: user, tool(result), assistant(summary)) - Fix incorrect test assertions in test_function_invocation_stop_clears_* that assumed the client layer updates session.service_session_id - Also fixed _extract_function_calls to search all messages with call_id deduplication, and the error-limit stop path to submit function_call_output items before halting (via tool_choice=none cleanup call) Relates to: https://github.com/microsoft/agent-framework/issues/4047 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: reasoning model workflow handoff and history serialization Fixes multiple related issues when using reasoning models (gpt-5-mini, gpt-5.2) in multi-agent workflows that chain agents via from_response or replay full conversation history via AgentExecutorRequest. ## Reasoning items always emitted on output_item.added When a reasoning model produces encrypted or hidden reasoning (no visible text), the Responses API still fires a reasoning output item without any reasoning_text.delta events. Previously no text_reasoning Content was emitted in that case, making it invisible to downstream logic. Both the non-streaming (_parse_response_from_openai) and streaming (output_item.added) paths now always emit at least one text_reasoning Content — with empty text if no content is available — so co-occurrence detection and serialization guards work reliably. ## Reasoning items only serialized when paired with a function_call The Responses API only accepts reasoning items in input when they directly preceded a function_call in the original response. Sending a reasoning item that preceded a text response (no tool call) causes: "reasoning was provided without its required following item" _prepare_message_for_openai now checks has_function_call per message and skips text_reasoning serialization when there is no accompanying function_call. ## summary field is an array, not an object The reasoning item summary field sent to the Responses API must be an array of objects ([{"type": "summary_text", "text": ...}]), not a single object. Fixed _prepare_content_for_openai accordingly. ## service_session_id cleared when explicit history is provided When a workflow coordinator replays a full conversation (including function calls from a previous agent run) back to an executor via AgentExecutorRequest or from_response, the executor's session still held a service_session_id (previous_response_id) from the prior run. The API then received the same function-call items twice — once from previous_response_id (server-stored) and once from the explicit input — causing: "Duplicate item found with id fc_...". AgentExecutor.run (when should_respond=True) and from_response now reset self._session.service_session_id = None before running so that explicit input is the sole source of conversation context. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * small improvements in text reasoning * refactor: add reset_service_session to AgentExecutorRequest for explicit history replay Replace the implicit 'always clear service_session_id when should_respond=True' with an explicit opt-in field on AgentExecutorRequest. The old approach used should_respond=True as a proxy for 'full history replay', but that conflates two distinct intents: - Orchestrations group chat sends should_respond=True with an empty/single-message list (not a full replay) — unnecessarily clearing service_session_id. - HITL / feedback coordinators send the full prior conversation and truly need a fresh service session ID to avoid duplicate-item API errors. Changes: - Add AgentExecutorRequest.reset_service_session: bool = False - AgentExecutor.run only clears service_session_id when this flag is True - AgentExecutor.from_response unchanged (always clears; always full conversation) - Set reset_service_session=True in all full-history-replay call sites: agents_with_HITL.py, azure_chat_agents_tool_calls_with_feedback.py, autogen-migration round-robin coordinator, tau2 runner - Update _FullHistoryReplayCoordinator test helper to pass the flag Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * comment update * fixes from feedback * fix test * reverted changes to agent executor * fix: remove reset_service_session from tau2 runner Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * two other reverts * fix sample --------- Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg ·
2026-02-19 21:02:20 +00:00 -
Python: [BREAKING] Redesign Python exception hierarchy (#4082)
* [BREAKING] Redesign Python exception hierarchy Replace the flat ServiceException family with domain-scoped branches: - AgentException (with InvalidAuth, InvalidRequest, InvalidResponse, ContentFilter) - ChatClientException (same consistent suberrors) - IntegrationException (same + InitializationError) - WorkflowException (Runner, Convergence, Checkpoint, Validation, Action, Declarative) - ContentError (AdditionItemMismatch) - ToolException / ToolExecutionException (unchanged) - MiddlewareException / MiddlewareTermination (unchanged) Key changes: - All Service* exceptions removed (ServiceException, ServiceInitializationError, etc.) - AgentExecutionException split into AgentInvalidRequest/ResponseException - AgentInvocationError removed, split into AgentInvalidRequest/ResponseException - Workflow exceptions moved from _workflows/_exceptions.py into main exceptions.py - _workflows/__init__.py emptied; main __init__.py imports directly from submodules - Purview exceptions re-parented under IntegrationException hierarchy - Init validation errors use built-in ValueError/TypeError instead of custom exceptions - CODING_STANDARD.md updated with hierarchy design and rationale Fixes microsoft/agent-framework#3410 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Clarify ToolException vs ToolExecutionException docstrings ToolException: base class for all tool-related exceptions (preconditions, connection/init failures). ToolExecutionException: runtime call failures (tool call failed, reconnect failed, MCP errors). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix remaining stale imports from agent_framework._workflows - azurefunctions: _context.py, _app.py, _serialization.py, test_func_utils.py used 'from agent_framework._workflows import X' which broke after emptying _workflows/__init__.py; changed to direct submodule imports - azure-ai-search: test still referenced ServiceInitializationError; updated to ValueError to match production code Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg ·
2026-02-19 17:58:14 +00:00 -
Unify Azure credential handling across all Python packages (#4088)
Replace ad_token, ad_token_provider, and get_entra_auth_token with a unified credential parameter across all Azure-related packages. Core changes: - Add AzureCredentialTypes (TokenCredential | AsyncTokenCredential) and AzureTokenProvider (Callable[[], str | Awaitable[str]]) type aliases - Add resolve_credential_to_token_provider() using azure.identity's get_bearer_token_provider for automatic token caching/refresh - Update AzureOpenAIChatClient, AzureOpenAIResponsesClient, and AzureOpenAIAssistantsClient to accept credential: AzureCredentialTypes | AzureTokenProvider - Remove ad_token, ad_token_provider params and get_entra_auth_token helpers Package updates: - azure-ai: Accept AzureCredentialTypes on AzureAIClient, AzureAIAgentClient, AzureAIProjectAgentProvider, AzureAIAgentsProvider - azure-ai-search: Accept AzureCredentialTypes on AzureAISearchContextProvider - purview: Accept AzureCredentialTypes | AzureTokenProvider on PurviewClient, PurviewPolicyMiddleware, PurviewChatPolicyMiddleware Fixes #3449 Fixes #3500 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg ·
2026-02-19 16:30:16 +00:00 -
Python: Updated package versions for RC release (#4068)
* Updated package versions for RC release * Update python/packages/redis/pyproject.toml Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Small fix --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Dmytro Struk ·
2026-02-19 16:11:48 +00:00 -
Python: Fix hosted MCP tool approval flow for all session/streaming combinations (#4054)
* fix openai hosted mcp samples * addressed copilot comments * Update python/samples/02-agents/providers/azure_openai/azure_responses_client_with_hosted_mcp.py Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> --------- Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
Giles Odigwe ·
2026-02-18 23:28:11 +00:00 -
Python: Fix sample bugs in file search and web search samples (#4049)
- Fix file search samples: return vector_store.id string instead of Content object to avoid JSON serialization error - Fix web search sample: use correct web_search_options parameter for ChatClient instead of ResponsesClient's user_location parameter - Fix assistants client: pass tool_resources from options to run_options so vector store IDs reach thread creation - Add error handling for cleanup in Azure file search sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Giles Odigwe ·
2026-02-18 20:24:16 +00:00 -
Python: Fix Eval samples (#4033)
* fix red team sample * Updated self-reflection * fix for workflow eval sample * fix test
Eduard van Valkenburg ·
2026-02-18 19:50:33 +00:00 -
Python: improve .env handling and observability samples (#4032)
* Python: improve .env precedence and observability samples - Switch load_settings to explicit precedence: overrides -> explicit .env -> environment -> defaults\n- Raise when env_file_path is provided but missing\n- Update settings docs and tests for new behavior\n- Refresh observability samples and README guidance for env loading options\n\nCloses #3864\n\nCo-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixed some imports * Fix load_settings CI regressions Allow explicit env_file_path values that exist but are not regular files (for example /dev/null) by checking path existence before dotenv parsing, and restore a dict accumulator with typed return cast to satisfy mypy. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Avoid implicit dotenv in observability Only load dotenv in observability helpers when env_file_path is explicitly provided, and remove test os.devnull workarounds that are no longer necessary. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg ·
2026-02-18 11:18:52 +00:00 -
Python: Fixed middleware and multimodal input samples (#4022)
* Fix streaming branch in weather override middleware sample The streaming branch of weather_override_middleware only prefixed the original weather data via a transform hook instead of replacing the content with the 'perfect weather' override like the non-streaming branch does. Replace with a new ResponseStream that yields the override content as ChatResponseUpdate chunks. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fixed exception handling middleware sample * Fixed runtime context delegation middleware example * Fixed multimodal input examples * Small update --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Dmytro Struk ·
2026-02-18 00:49:33 +00:00 -
Python: Durable Support for Workflows (#3630)
* Add workflow support for Azure Functions * fix compatability with latest framework changes and add integration tests * refactor code * remove white space Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * align help text with actual port used Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * replace instance id with a place holder Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * remove unused import Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * remove redundant typing import and fix SIM115 * fix latest breaking changes * fix mypy issues * clean up imports * define source marker strings as constants * fix json module name * refactor _extract_message_content_from_dict * refactor serialization * add helper method for error response construction and remove _extract_message_content_from_dict since it is not needed * use strict tpe checking for edges * change how duplicate agent registrations are handled * cancel approval_task on HITL timeout * update docstring * fix: align azurefunctions package with core API changes after rebase - State.import_state/export_state are now sync (removed await) - Add State.commit() before export_state() in activity execution - Rename executor parameter shared_state -> state - Rename ctx.set_shared_state/get_shared_state -> set_state/get_state (sync) - WorkflowBuilder now takes start_executor as constructor kwarg - Update WorkflowOutputEvent -> WorkflowEvent with type='output' - Update RequestInfoEvent -> WorkflowEvent[Any] - Update SharedState -> State in test imports - Update duplicate agent name tests to match new warning behavior - Update sample README API references * fix sample check errors * fix mypy issues * fix trailing white spaces * fix test imports * feat: add durable workflow samples and adapt to main branch changes - Add workflow samples 09-12 to 04-hosting/azure_functions/ - Adapt to ChatMessage -> Message rename from main - Adapt to pickle-based checkpoint encoding from main - Simplify _serialization.py to delegate to core encode/decode - Fix Message -> WorkflowMessage disambiguation in _context.py - Remove non-existent _checkpoint_summary import * fix: update create_checkpoint signature to match superclass * fix: correct relative link in HITL sample README * fix: resolve import breakage after rebase (State, DurableAgentThread, get_logger) --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
Ahmed Muhsin ·
2026-02-17 22:11:33 +00:00 -
Python: Add missing system instruction attr to
invoke_agentspan (#4012)* Add missing sysmte instruction attr to invoke_agent span * Temp remove azure search gate * fix pipeline error
Tao Chen ·
2026-02-17 20:49:12 +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>
Eduard van Valkenburg ·
2026-02-17 19:12:28 +00:00 -
Python: feature: Inject OpenTelemetry trace context into MCP requests and update… (#3780)
* feat: Inject OpenTelemetry trace context into MCP requests and update documentation * Update python/samples/getting_started/observability/README.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/packages/core/tests/core/test_mcp.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * refactor: move opentelemetry import to module level OpenTelemetry is a hard dependency of agent-framework-core (per pyproject.toml), so the try/except ImportError guard was dead code. Move the import to the top of the file to fail fast on missing dependencies instead of silently hiding installation issues. --------- Co-authored-by: Pete Roden <Pete.Roden@microsoft.com> Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Pete Roden ·
2026-02-17 15:22:04 +00:00 -
Python: Fix tool normalization and provider sample consolidation (#3953)
* Fix tool normalization and provider samples - restore callable/single-tool normalization paths and unset tool-choice behavior\n- consolidate and expand chat/provider samples (OpenAI/Azure/Anthropic/Ollama/Bedrock)\n- migrate Bedrock lazy import surface to agent_framework.amazon and move provider samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * small fix in sample * Finalize provider, samples, and core cleanup Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix CopilotTool passthrough in agent Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix link --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg ·
2026-02-16 16:30:38 +00:00 -
Python: [BREAKING] Fix #3613 chat/agent message typing alignment (#3920)
* Fix #3613 message typing across chat and agents * Address #3613 review feedback and sample input style * refactor: use shared AgentRunMessages aliases (#3613) * refactor: rename agent run input aliases for #3613 * samples: inline image content in run calls * core: export AgentRunInputs from package init * core: use explicit init re-exports without __all__ * updated logging and inits * Fix core mypy export and samples XML note * Remove AgentRunInputsOrNone and dedupe loggers * Remove prepare_messages helper * fix integration tests
Eduard van Valkenburg ·
2026-02-16 15:27:25 +00:00 -
Python: [BREAKING] Remove FunctionTool[Any] compatibility shim for schema passthrough (#3600) (#3907)
* Fix #3600: Pass JSON schemas through without Pydantic conversion This change optimizes FunctionTool and MCP flows by passing JSON schemas directly to providers without converting them to Pydantic models first. Key changes: - Store JSON schema as-is when supplied to FunctionTool - Skip Pydantic model_validate for schema-supplied tools in invoke() - Return MCP tool schemas directly without conversion - Add comprehensive tests for schema passthrough behavior Performance benefits: - Eliminates expensive Pydantic model creation for supplied schemas - Preserves exact schema structure (additionalProperties, custom fields, etc.) - Reduces memory overhead and initialization time Maintains backward compatibility: - Function signature inference still uses Pydantic models - Explicit Pydantic models passed as input_model work as before - All existing tests pass * Fix schema passthrough validation and remove helper * Simplify FunctionTool without generic model dependency * Fix FunctionTool typing fallout in 3600 * Remove FunctionTool[Any] compatibility shim * Use serializable kwargs in OTEL tool args
Eduard van Valkenburg ·
2026-02-14 10:12:21 +00:00 -
Python: Replace wildcard imports with explicit imports (#3908)
* Python: Replace wildcard imports with explicit imports - Replace all 'from ... import *' with explicit symbol imports - Add __all__ declarations to namespace packages for re-exports - Update CODING_STANDARD.md to prohibit wildcard imports - Maintain exported API and preserve all functionality fixes #3605 * Refine wildcard guidance example text * Simplify explicit exports without self-aliases
Eduard van Valkenburg ·
2026-02-13 14:02:36 +00:00 -
Eduard van Valkenburg ·
2026-02-13 13:55:39 +00:00 -
Python: fix: prevent repeating instructions in continued Responses API conversations (#3909)
* fix: prevent repeating instructions in continued Responses API conversations - Instructions are now only prepended to messages on the first turn - When conversation_id/response_id exists (continuation), instructions are skipped - Covers OpenAI and Azure Responses API paths - Adds regression tests for all continuation scenarios Fixes #3498 * Apply lint fixes to continuation tests * Consolidate responses continuation tests
Eduard van Valkenburg ·
2026-02-13 13:34:15 +00:00 -
update package versions (#3902)
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Giles Odigwe ·
2026-02-13 00:00:57 +00:00 -
Python: Remove duplicate samples (#3899)
* Remove duplicate samples * Correct paths * Update readme * Update readme * Fix ruff --------- Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Tao Chen ·
2026-02-12 23:46:41 +00:00 -
Python: Fix non-ascii chars in span attributes (#3894)
* Fix non-ascii chars in span attributes * Comments
Tao Chen ·
2026-02-12 22:53:32 +00:00 -
Python: Fix streamed workflow agent continuation context by finalizing AgentExecutor streams (#3882)
* Fix streamed workflow agent continuation context by finalizing AgentExecutor streams * Fix stream handling * Fixes * Fix DevUI and tests
Evan Mattson ·
2026-02-12 22:45:46 +00:00 -
Python: [BREAKING] PR2 — Wire context provider pipeline, remove old types, update all consumers (#3850)
* PR2: Wire context provider pipeline and update all internal consumers - Replace AgentThread with AgentSession across all packages - Replace ContextProvider with BaseContextProvider across all packages - Replace context_provider param with context_providers (Sequence) - Replace thread= with session= in run() signatures - Replace get_new_thread() with create_session() - Add get_session(service_session_id) to agent interface - DurableAgentThread -> DurableAgentSession - Remove _notify_thread_of_new_messages from WorkflowAgent - Wire before_run/after_run context provider pipeline in RawAgent - Auto-inject InMemoryHistoryProvider when no providers configured * fix: update all tests for context provider pipeline, fix lazy-loaders, remove old test files * refactor: update all sample files for context provider pipeline (AgentThread→AgentSession, ContextProvider→BaseContextProvider) * fix: update remaining ag-ui references (client docstring, getting_started sample) * fix: make get_session service_session_id keyword-only to avoid confusion with session_id * refactor: rename _RunContext.thread_messages to session_messages * refactor: remove _threads.py, _memory.py, and old provider files; migrate devui to use plain message lists * rename: remove _new_ prefix from test files * refactor: rewrite SlidingWindowChatMessageStore as SlidingWindowHistoryProvider(InMemoryHistoryProvider) * fix: read full history from session state directly instead of reaching into provider internals * fix: update stale .pyi stubs, sample imports, and README references for new provider types * fix: remove stale message_store, _notify_thread_of_new_messages, and session_id.key references in samples * refactor: merge context_providers and sessions sample folders into sessions, remove aggregate_context_provider * refactor: UserInfoMemory stores state in session.state instead of instance attributes * feat: add Pydantic BaseModel support to session state serialization Pydantic models stored in session.state are now automatically serialized via model_dump() and restored via model_validate() during to_dict()/from_dict() round-trips. Models are auto-registered on first serialization; use register_state_type() for cold-start deserialization. Also export register_state_type as a public API. * fix mem0 * Update sample README links and descriptions for session terminology - Replace 'thread' with 'session' in sample descriptions across all READMEs - Update file links for renamed samples (mem0_sessions, redis_sessions, etc.) - Fix Threads section → Sessions section in main samples/README.md - Update tools, middleware, workflows, durabletask, azure_functions READMEs - Update architecture diagrams in concepts/tools/README.md - Update migration guides (autogen, semantic-kernel) * Fix broken Redis README link to renamed sample * Fix Mem0 OSS client search: pass scoping params as direct kwargs AsyncMemory (OSS) expects user_id/agent_id/run_id as direct kwargs, while AsyncMemoryClient (Platform) expects them in a filters dict. Adds tests for both client types. Port of fix from #3844 to new Mem0ContextProvider. * Fix rebase issues: restore missing _conversation_state.py and checkpoint decode logic - Add back _conversation_state.py (encode/decode_chat_messages) lost in rebase - Fix on_checkpoint_restore to decode cache/conversation with decode_chat_messages - Fix on_checkpoint_restore to use decode_checkpoint_value for pending requests - Add tests/workflow/__init__.py for relative import support - Fix test_agent_executor checkpoint selection (checkpoints[1] not superstep) * Add STORES_BY_DEFAULT ClassVar to skip redundant InMemoryHistoryProvider injection Chat clients that store history server-side by default (OpenAI Responses API, Azure AI Agent) now declare STORES_BY_DEFAULT = True. The agent checks this during auto-injection and skips InMemoryHistoryProvider unless the user explicitly sets store=False. * Fix broken markdown links in azure_ai and redis READMEs * Fix getting-started samples to use session API instead of removed thread/ContextProvider API * updates to workflow as agent * fix group chat import * Rename Thread→Session throughout, fix service_session_id propagation, remove stale AGUIThread - Fix: Propagate conversation_id from ChatResponse back to session.service_session_id in both streaming and non-streaming paths in _agents.py - Rename AgentThreadException → AgentSessionException - Remove stale AGUIThread from ag_ui lazy-loader - Rename use_service_thread → use_service_session in ag-ui package - Rename test functions from *_thread_* to *_session_* - Rename sample files from *_thread* to *_session* - Update docstrings and comments: thread → session - Update _mcp.py kwargs filter: add 'session' alongside 'thread' - Fix ContinuationToken docstring example: thread=thread → session=session - Fix _clients.py docstring: 'Agent threads' → 'Agent sessions' * Fix broken markdown links after thread→session file renames * fix azure ai test
Eduard van Valkenburg ·
2026-02-12 21:00:32 +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
Eduard van Valkenburg ·
2026-02-12 17:36:36 +00:00 -
Python: Centralize tool result parsing in FunctionTool.invoke() (#3854)
* Centralize tool result parsing in FunctionTool.invoke() - Add parse_result static method to FunctionTool that converts raw function return values to strings at invocation time - Add result_parser parameter to FunctionTool and @tool decorator for custom parsing - Remove prepare_function_call_results from all 9 consumer files and from the public API - Update MCPTool to parse MCP types directly to strings via _parse_tool_result_from_mcp and _parse_prompt_result_from_mcp - Change MCPTool parse_tool_results/parse_prompt_results type from Literal[True] | Callable | None to Callable | None - Remove ReturnT type parameter from FunctionTool (now single generic ArgsT since invoke() always returns str) - Update all subclass signatures and docstrings Fixes #1147 * Fix test_mcp_tool_call_tool_with_meta_integration for string results The test was still accessing result[0].additional_properties but invoke() now returns a string, not a list of Content objects. * Fix SIM108 lint: use binary operator for output assignment * Fix bedrock: use FunctionTool.parse_result instead of str() fallback str(result) turns None into literal 'None' and dicts into Python reprs with single quotes, breaking JSON parsing. Use the shared parse_result which handles None as '' and serializes via json.dumps. * updated lock * updates from feedback
Eduard van Valkenburg ·
2026-02-12 13:49:42 +00:00 -
Python: (samples): adopt AzureOpenAIResponsesClient, reorganize orchestration examples, and fix workflow/orchestration bugs (#3873)
* adopt AzureOpenAIResponsesClient, reorganize orchestration examples, and fix workflow/orchestration bugs * Updates * add comment
Evan Mattson ·
2026-02-12 10:46:58 +00:00 -
Python: Replace Pydantic Settings with TypedDict + load_settings() (#3843)
* Replace Pydantic Settings with TypedDict + load_settings() - Remove pydantic-settings dependency, add python-dotenv - Delete _pydantic.py (AFBaseSettings, HTTPsUrl) - Add _settings.py with generic load_settings() function, SecretString, type coercion, and Required field validation (SettingNotFoundError) - Convert all 13 settings classes from AFBaseSettings subclasses to TypedDict definitions with load_settings() calls - Update all consumers from attribute access to dict access - Add 20 unit tests for load_settings() covering basic loading, dotenv, SecretString, type coercion, and required field validation - Update all existing tests for new settings patterns * Fix mypy type errors from settings conversion - Fix str | None attribute access in responses_client (walrus operator) - Fix SecretString | None narrowing in bedrock (type: ignore after guard) - Convert _context_provider.py attribute access to dict access (missed file) - Fix endpoint type narrowing in search_provider and context_provider - Fix purview: str | None .rstrip(), int | None defaults, urlparse bytes * Address PR review: required_fields param, type validation, fixes - Move required field validation from TypedDict annotations (Required) to a required_fields parameter on load_settings(), enabling runtime decisions about which fields are required - Remove Required imports and restore from __future__ import annotations in ollama and foundry_local - Add _check_override_type() for deterministic ServiceInitializationError on invalid override types (e.g. dict passed for str field) - Fix all multi-exception test catches back to single exception type - Fix Ollama host=None: use .get() so None is passed through to SDK default - Fix Purview processor: use explicit is-None checks instead of or operator - Remove unused BaseModel import from openai/_shared.py - Add 4 new tests (24 total): required_fields param, type validation * Fix type validation: allow int for float fields _check_override_type now permits int values for float-typed fields, matching Python's standard numeric promotion behavior. * fix: wrap urlparse arg with str() to fix mypy bytes endswith error
Eduard van Valkenburg ·
2026-02-12 08:51:20 +00:00 -
[BREAKING] Python: Checkpoint refactor: encode/decode, checkpoint format, etc (#3744)
* WIP: Checkpoint refactor: encode/decode, checkpoint format, etc * WIP: Remove workflow ID in checkpoints * Refactor checkpointing * Add get_latest tests * Increase test coverage * Fix formatting * Fix unit tests * Fix samples * fix unit tests * fix pipeline * Copilot comments * Fix tests * Fix more tests * Address comments part 1 * Address comments part 2 * Comments
Tao Chen ·
2026-02-11 20:57:15 +00:00 -
Python: Add more packages to unit test coverage gate (#3831)
* Add more packages to unit test coverage gate * Trigger workflow * Remove azure ai search * Add purview * Add declarative to coverage report
Tao Chen ·
2026-02-11 19:37:38 +00:00 -
Python: Allow AzureOpenAIResponsesClient creation with Foundry project endpoint (#3814)
* Initial plan * feat: extend AzureOpenAIResponsesClient to support Foundry project endpoints Add project_client and project_endpoint parameters to allow creating the client via an Azure AI Foundry project. When provided, the client uses AIProjectClient.get_openai_client() to obtain the OpenAI client. The azure-ai-projects package is imported lazily and only required when using the project endpoint path. Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * fix: address code review - remove duplicate MagicMock imports in tests Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * fix: add type field to Responses API input items and add Foundry sample - Add 'type: message' to input items in _prepare_message_for_openai to comply with the Responses API schema requirement - Filter out empty dicts from unsupported content types to prevent sending items with invalid empty type values - Add azure_responses_client_with_foundry.py sample demonstrating AzureOpenAIResponsesClient with project_endpoint - Update README and pyrightconfig.samples.json accordingly * updates to response format and setup * fix: patch AIProjectClient at correct module path in test Patch agent_framework.azure._responses_client.AIProjectClient instead of azure.ai.projects.aio.AIProjectClient since the import is at module level. * docs: add Foundry sample to READMEs and document AZURE_AI_PROJECT_ENDPOINT env var --------- 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>
Copilot ·
2026-02-11 15:46:25 +00:00 -
Dmytro Struk ·
2026-02-11 10:47:41 +00:00 -
Dmytro Struk ·
2026-02-11 00:20:29 +00:00 -
Python: [BREAKING] Replace Hosted*Tool classes with tool methods (#3634)
* Replace Hosted*Tool classes with client static factory methods * fixed failing test * mypy fix * mypy fix 2 * declarative mypy fix * addressed comments * ToolProtocol removal * fixed test * agents mypy fix * fix failing tests * mypy fix * addressed comments * fixed tests * addressed comments + added factory method overrides for azureai v2 client * mypy fix * added kwargs to azureai tool methods * fixed in test * _sessions fix * test fix
Giles Odigwe ·
2026-02-11 00:04:27 +00:00 -
Python: [BREAKING] Simplify API: ChatAgent -> Agent, ChatMessage -> Message (#3747)
* [BREAKING] Rename ChatAgent -> Agent, ChatMessage -> Message, ChatClientProtocol -> SupportsChatGetResponse Simplify the public API by removing redundant 'Chat' prefix from core types: - ChatAgent -> Agent - RawChatAgent -> RawAgent - ChatMessage -> Message - ChatClientProtocol -> SupportsChatGetResponse Also renamed internal WorkflowMessage (was Message in _runner_context) to avoid collision. No backward compatibility aliases - this is a clean breaking change. * [BREAKING] Rename Agent chat_client parameter to client * Fix rebase issues: WorkflowMessage references and broken markdown links * Fix formatting and lint issues from code quality checks * Fix import ordering in workflow sample files * fixed rebase * Fix test failures: use WorkflowMessage and A2AMessage after ChatMessage→Message rename - Replace Message(data=..., source_id=...) with WorkflowMessage(...) in workflow tests - Fix isinstance check in A2A agent to use A2AMessage instead of Message - Fix import in test_workflow_observability.py (Message→WorkflowMessage) * Fix lint, fmt, and sample errors after ChatMessage→Message rename - Auto-fix 70+ ruff lint issues across samples (ChatMessage→Message refs) - Fix HostedVectorStoreContent→Content.from_hosted_vector_store in file search sample - Fix _normalize_messages→normalize_messages in custom agent sample - Fix context.terminate→raise MiddlewareTermination in middleware samples - Fix with_update_hook→with_transform_hook in override middleware sample - Add TOptions_co import back to custom_chat_client sample - Add noqa for FastAPI File() default in chatkit sample - Fix B023 loop variable capture in weather agent sample * fix: update Agent constructor calls from chat_client to client in declaration-only tool tests * fix: add register_cleanup to devui lazy-loading proxy and type stub * fixed tests and updated new pieces * fix agui typevar * fix merge errors * fix merge conflicts * fiux merge * Remove unused links --------- Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
Eduard van Valkenburg ·
2026-02-10 23:04:32 +00:00 -
[BREAKING] Python: Remove workflow register factory methods. Update tests and samples (#3781)
* Remove workflow register factory methods. Update tests and samples * Address Copilot feedback
Evan Mattson ·
2026-02-10 22:16:17 +00:00 -
Python: PR1 — New session and context provider types (side-by-side) (#3763)
* PR1: Add core context provider types and tests New types in _sessions.py (no changes to existing code): - SessionContext: per-invocation state with extend_messages/get_messages/ extend_instructions/extend_tools and read-only response property - _ContextProviderBase: base class with before_run/after_run hooks - _HistoryProviderBase: storage base with load/store flags, abstract get_messages/save_messages, default before_run/after_run - AgentSession: lightweight session with state dict, to_dict/from_dict - InMemoryHistoryProvider: built-in provider storing in session.state 35 unit tests covering all classes and configuration flags. * feat: keyword-only params, stateless InMemoryHistoryProvider, deep serialization - Make before_run/after_run parameters keyword-only - InMemoryHistoryProvider stores ChatMessage objects directly (no per-cycle serialization) - Deep serialization via to_dict/from_dict only at session boundary - State type registry for automatic deserialization of registered types - Updated tests for new serialization approach * feat: add new-pattern provider implementations for external packages - _RedisContextProvider(BaseContextProvider) - Redis search/vector context - _RedisHistoryProvider(BaseHistoryProvider) - Redis-backed message storage - _Mem0ContextProvider(BaseContextProvider) - Mem0 semantic memory - _AzureAISearchContextProvider(BaseContextProvider) - Azure AI Search (semantic + agentic) All use temporary _ prefix names for side-by-side coexistence with existing providers. Will be renamed in PR2 when old ContextProvider/ChatMessageStore are removed. * test: add tests for new-pattern provider implementations - 32 tests for _RedisContextProvider and _RedisHistoryProvider - 29 tests for _Mem0ContextProvider - 17 tests for _AzureAISearchContextProvider * fix: address PR review comments and CI failures - Move module docstring before imports in _sessions.py (review comment) - Import TYPE_CHECKING unconditionally in Redis _context_provider.py (NameError on Python <3.12) - Fix Mem0 test_init_auto_creates_client_when_none to patch at class level * feat: add source attribution to extend_messages Set attribution marker in additional_properties for each message added via extend_messages(), matching the tool attribution pattern. Uses setdefault to preserve any existing attribution. * refactor: make attribution value a dict with source_id key * add attribution and use sets for filters * Add source_type to message attribution and copy messages in extend_messages - SessionContext.extend_messages now accepts source as str or object with source_id attribute; when an object is passed, its class name is recorded as source_type in the attribution dict - Messages are shallow-copied before attribution is added so callers' original objects are never mutated - Filter framework-internal keys (attribution) from A2A wire metadata to prevent leaking internal state over the wire * fix: correct mypy type: ignore comment from union-attr to attr-defined * set attribution to _attribution * adjusted naming of bools
Eduard van Valkenburg ·
2026-02-10 21:19:15 +00:00 -
Python: Add long-running agents and background responses support (#3808)
* Python: Add long-running agents and background responses support - Add ContinuationToken TypedDict to core types - Add continuation_token field to ChatResponse, ChatResponseUpdate, AgentResponse, and AgentResponseUpdate - Add background and continuation_token options to OpenAIResponsesOptions - Implement polling via responses.retrieve() and streaming resumption in RawOpenAIResponsesClient - Propagate continuation tokens through agent run() and map_chat_to_agent_update - Fix streaming telemetry 'Failed to detach context' error in both ChatTelemetryLayer and AgentTelemetryLayer by avoiding trace.use_span() context attachment for async-managed spans - Add 14 unit tests for continuation token types and background flows - Add background_responses sample showing polling and stream resumption Fixes #2478 * Python: Add A2A long-running task support via ContinuationToken - Make ContinuationToken provider-agnostic (total=False, optional task_id/context_id fields) - Add background param to A2AAgent.run() controlling token emission - Add poll_task() for single-request task state retrieval - Add resubscribe support via continuation_token param on run() - Extract _updates_from_task() and _map_a2a_stream() for cleaner code - Streamline run()/streaming by removing intermediate _stream_updates wrapper - Update A2A sample to show background=False (default) with link to background_responses sample - Remove stale BareAgent from __all__ - Add 12 new A2A continuation token tests * fix logic for overriding continuation token when done * refactored ContinuationToken setup
Eduard van Valkenburg ·
2026-02-10 20:37:43 +00:00 -
Python: Add documentation for declaration-only tools and middleware ordering (#3774)
* added explanation doctrings * copilot comments
Giles Odigwe ·
2026-02-10 20:14:28 +00:00 -
Python: Add streaming support for code interpreter deltas (#3775)
* add streaming support for code interpreter deltas * addressed copilot comments * mypy fix
Giles Odigwe ·
2026-02-10 19:43:33 +00:00 -
Python: [BREAKING] Standardize TypeVar naming convention (TName → NameT) (#3770)
* standardized typevar to use suffix T * addressed copilot comments
Giles Odigwe ·
2026-02-10 19:34:10 +00:00 -
Python: Include sub-workflow structure in graph signature for checkpoint validation (#3783)
* Include sub-workflow structure in graph signature for checkpoint validation * Remove redundant computation
Evan Mattson ·
2026-02-10 17:24:27 +00:00 -
Python: Fix prek runner duplication and add skills (#3791)
* Python: fix prek runner running fmt/lint in all packages on core change When a core package file changed, run_tasks_in_changed_packages.py ran fmt, lint, and pyright in ALL 22 packages (66 tasks). Only type-checking tasks (pyright, mypy) need to propagate to all packages since type changes in core affect downstream packages. File-local tasks (fmt, lint) only need to run in packages with actual file changes. This reduces a core-only change from 66 tasks to 24 tasks (2 local + 22 pyright). Also adds no-commit-to-branch builtin hook to protect the main branch from direct commits. * Python: add agent skills extracted from AGENTS.md and coding standards Add 5 skills to python/.github/skills/ following the Agent Skills format: - python-development: coding standards, type annotations, docstrings, logging - python-testing: test structure, fixtures, running tests, async mode - python-code-quality: linting, formatting, type checking, prek hooks, CI - python-package-management: monorepo structure, lazy loading, versioning - python-samples: sample structure, PEP 723, documentation guidelines * Python: deduplicate AGENTS.md and instructions with agent skills * updated skills * fixes from review * Python: increase timeout for web search integration test
Eduard van Valkenburg ·
2026-02-10 12:13:38 +00:00 -
Python: Fix workflow not pausing when agent calls declaration-only tool (#3757)
* Fix workflow not pausing when agent calls declaration-only tool * Remove comment
Evan Mattson ·
2026-02-09 23:51:44 +00:00 -
Python: Added explicit schema handling to @tool decorator (#3734)
* Added explicit schema handling to @tool decorator * Resolved comments
Dmytro Struk ·
2026-02-09 21:36:32 +00:00 -
Python: [BREAKING] Renamed next middleware parameter to call_next (#3735)
* Renamed next middleware parameter to call_next * Resolved comments
Dmytro Struk ·
2026-02-09 21:21:27 +00:00 -
Python: replace pre-commit with prek, add PEP 723 script deps, clean up dev dependencies (#3748)
* python: replace pre-commit with prek, add PEP 723 script deps, clean up dev dependencies - Replace pre-commit with prek (Rust-native, faster pre-commit alternative) - Move supported hooks to repo: builtin for zero-clone speed - Add new builtin hooks: trailing-whitespace, check-merge-conflict, detect-private-key, check-added-large-files - Update all hook versions to latest (pre-commit-hooks v6, pyupgrade v3.21.2, bandit 1.9.3, uv-pre-commit 0.10.0) - Add PEP 723 inline script metadata to 34 samples with external deps - Remove autogen-agentchat/autogen-ext from dev deps (now declared per-sample) - Remove unused dev deps: pytest-env, tomli-w - Add agent-framework-core>=1.0.0b260130 lower bound to all 21 packages - Update CI workflow to use j178/prek-action - Update docs: DEV_SETUP.md, AGENTS.md, CODING_STANDARD.md, SAMPLE_GUIDELINES.md * updated lock * python: fix prek config paths for local execution and CI workflow Remove global 'files: ^python/' filter and strip python/ prefix from all path patterns in .pre-commit-config.yaml so prek finds files when run from the python/ directory. Update CI workflow to use --cd python instead of --config path. Include trailing whitespace fixes and dev dependency cleanup. * python: move helper scripts to scripts/ folder and exclude from checks * python: exclude AGENTS.md from prek markdown code lint * python: exclude AGENTS.md and azure_ai_search sample from markdown lint * fix m365 sample * python: ignore CPY rule for samples with PEP 723 headers * fix in dev_setup * python: replace aiofiles with regular open in samples * python: suppress reportUnusedImport in markdown code block checker * python: use samples pyright config for markdown code block checker Write a temp pyrightconfig.json matching pyrightconfig.samples.json rules (typeCheckingMode=off, only reportMissingImports and reportAttributeAccessIssue). Filter output to only fail on these rules since syntax-level errors (top-level await, undefined vars) are expected in README documentation snippets. * python: use markdown-code-lint with fixed globs instead of prek file list The prek-markdown-code-lint task received all changed files including non-README markdown and files with pre-existing broken imports. Replace with the standard markdown-code-lint task which uses the correct glob patterns (README.md, packages/**/README.md, samples/**/*.md). * python: exclude READMEs with pre-existing broken imports from markdown lint * python: fix broken README code snippets instead of excluding them - ag-ui: replace TextContent (removed) with content.type == 'text' - durabletask: fix import path to durabletask.worker.TaskHubGrpcWorker - orchestrations: use constructor params instead of .participants() method - observability: mark deprecated code blocks as plain text, filter reportMissingImports to agent_framework modules only - remove README excludes from markdown-code-lint task * add revision to gaia download * feat(python): parallelize checks across packages Run (package × task) cross-product in parallel using ThreadPoolExecutor and subprocesses. Key changes: - Add scripts/task_runner.py with shared parallel execution engine - Update run_tasks_in_packages_if_exists.py to accept multiple tasks - Update run_tasks_in_changed_packages.py with --files flag and parallel support - Add check-packages poe task (fmt+lint+pyright+mypy in parallel) - Add prek-markdown-code-lint and prek-samples-check with change detection - Split CI code quality workflow into parallel prek and mypy jobs - Update DEV_SETUP.md to document new parallel behavior Core package changes still trigger checks on all packages. * feat(ci): split code quality into 4 parallel jobs Split the single prek job into parallel jobs: - pre-commit-hooks: lightweight hooks (SKIP=poe-check) - package-checks: fmt/lint/pyright/mypy via check-packages - samples-markdown: samples-lint, samples-syntax, markdown-code-lint - mypy: change-detected mypy checks All 4 jobs run concurrently (×2 Python versions = 8 runners). * feat(ci): use only Python 3.10 for code quality checks * refactor(python): add future annotations and remove quoted types Add `from __future__ import annotations` to 93 package files that used quoted string annotations, then run pyupgrade --py310-plus to remove the now-unnecessary quotes. Fixes https://github.com/microsoft/agent-framework/issues/3578
Eduard van Valkenburg ·
2026-02-09 17:51:01 +00:00