* Bump Python package versions for 1.2.0 release
Released tier bumps 1.1.1 -> 1.2.0 (core, openai, foundry, root) to
reflect additive public APIs landed since 1.1.0: functional workflow API
(#4238) and FunctionTool SKIP_PARSING sentinel (#5424). All beta packages
stamped 1.0.0b260424, alpha packages 1.0.0a260424. All 26 non-core
agent-framework-core floors raised to >=1.2.0,<2. CHANGELOG consolidates
the never-tagged 1.1.1 entries with the post-merge additions into [1.2.0].
* Update CHANGELOG footer links for 1.2.0
Advance [Unreleased] comparison base from python-1.1.0 to python-1.2.0
and add a [1.2.0] reference link comparing python-1.1.0...python-1.2.0
so the heading links resolve correctly.
* Fix CHANGELOG: restore [1.1.1] section and add proper [1.2.0]
Previous commit incorrectly renamed the [1.1.1] header to [1.2.0], which
wiped the historical 1.1.1 entries and wrongly attributed them to 1.2.0.
This restores [1.1.1] to its origin/main content and adds a new [1.2.0]
section above containing only the commits in python-1.1.1..HEAD:
- #4238 functional workflow API
- #5142 GitHub Copilot OpenTelemetry
- #2403 A2A bridge support
- #5070 oauth_consent_request events in Foundry clients
- #5447 FoundryAgent hosted agent sessions
- #5459 hosting server dependency upgrade + types
- #5389 AG-UI reasoning/multimodal parsing fix
- #5440 stop [TOOLBOXES] warning spam
- #5455 user agent prefix fix
Also corrects the [1.2.0] compare base to python-1.1.1 (not 1.1.0) and
adds the missing [1.1.1] reference link.
* fixes to FoundryAgent to connect to new hosted agents
Co-authored-by: Copilot <copilot@github.com>
* fix mypy
Co-authored-by: Copilot <copilot@github.com>
* Python: remove Foundry service session helpers
Remove the public hosted-agent service session CRUD helpers from FoundryAgent and drop the related feature-stage inventory entry.
Update the hosted-agent sample to create and delete service sessions directly through the preview AIProjectClient APIs, and tighten a few test harnesses surfaced by full workspace validation.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix from merge
* fix hosted env detection
Co-authored-by: Copilot <copilot@github.com>
* reverted sample update
* fix tests and code
Co-authored-by: Copilot <copilot@github.com>
* remove aenter
* skipping some tests
Co-authored-by: Copilot <copilot@github.com>
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump Python version for a release.
* Revert lockstep bumps on unchanged connectors
Per PR review: only connectors that changed (or whose published metadata
changed) should get new versions. Keeps released tier at 1.1.1, a2a/ag-ui
at 1.0.0b260422, foundry-hosting at 1.0.0a260422; reverts the 19 unchanged
betas and 2 unchanged alphas to 1.0.0b260421/1.0.0a260421. Reverts all 26
non-core agent-framework-core floors to >=1.1.0,<2 since no connector
actually depends on a 1.1.1 API or bug fix.
* Restore lockstep prerelease bumps and raise core floors to >=1.1.1
Reverses the lean-revert: all beta packages stamped 1.0.0b260423 and alpha
packages stamped 1.0.0a260423 (Asia date, matching release cut time). All
26 non-core packages raise agent-framework-core lower bound from >=1.1.0,<2
to >=1.1.1,<2 to signal the validated cohort for this release. CHANGELOG
date updated to 2026-04-23.
* Fix python-feature-lifecycle skill YAML frontmatter
Remove copyright comment that preceded the YAML frontmatter delimiter,
which prevented the skill from loading. The --- block must be the very
first line of SKILL.md.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: update broken eslint-react plugin links in devui README
The upstream eslint-react repo moved plugins from packages/plugins/
to the top-level plugins/ directory, causing 404 errors detected by
linkspector CI.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump Python version to 1.1.0 for a release
* Fix changelog
* 1.0.1 instead of 1.1.0
* Update CHANGELOG.md
* update version and changelog
* Bump lower bounds
* Refactor Anthropic model option and provider clients
Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix Anthropic skills sample typing
Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* undo sample mypy
* Retry CI after transient external failures
Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback on model option merging
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address Anthropic compatibility review feedback
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* moved all to `model`
* fixes for azure ai search
* Python: standardize remaining sample env var names
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: fix foundry-local pyright compatibility
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated env vars in cicd
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated automation tasks and commands, with alias for the time being
* Restore aggregate test exclusions
Preserve the legacy all-tests scope for test --all by excluding lab and devui from the default aggregate sweep, while still allowing explicit package selection. Also ignore hidden/generated test directories such as .mypy_cache during aggregate discovery.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated versions in pre-commit
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
The DevUI /v1/responses endpoint accepts function_approval_response content
without verifying that the request_id corresponds to a real pending approval
request issued by the server. This allows forged approval responses to
execute arbitrary tools with attacker-controlled arguments, bypassing
approval_mode='always_require'.
Changes:
- Track outgoing approval requests in a server-side registry
(_pending_approvals) keyed by request_id
- Validate incoming approval responses against this registry; reject
any response whose request_id was not issued by the server
- Use server-stored function_call data (tool name, arguments, call_id)
instead of client-supplied data when constructing the approval response
- Consume request_ids on use (pop from registry) to prevent replay attacks
Tests:
- 8 new tests covering forged rejection, server-data enforcement,
anti-replay, multiple independent approvals, and edge cases
Co-authored-by: REDMOND\tusharmudi <tusharmudi@microsoft.com>
* Prepare azure-ai-projects 2.0 GA compatibility
Add allow_preview support for internal AIProjectClient creation, keep backward compatibility for renamed SDK model classes, and align Azure AI/core paths and tests for GA validation workflows.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* upgrade to ai-project==2.0.0
* Python: remove azure-ai-projects keyword-guard paths
Assume azure-ai-projects 2.0+ in Azure AI client/provider/responses code paths by removing _supports_keyword_argument gating and related fallback branching.
Also fix pyright typing in FoundryMemoryProvider memory store calls by using ResponseInputItemParam-typed items.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* check fixes
* Python: remove unsupported foundry_features option
Drop foundry_features from Azure AI client and provider surfaces because azure-ai-projects 2.0.0 does not expose that create_version parameter.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: add allow_preview to Foundry memory provider
Propagate allow_preview when FoundryMemoryProvider constructs an AIProjectClient and update tests accordingly.
Also finish wiring allow_preview through AzureAIClient-facing surfaces and related docs.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* aligning docstrings
* udpated lock
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix Python pyright package scoping and typing remediation
Implements issue #4407 by removing the root pyright include, adding package-level pyright includes, and resolving pyright/mypy typing issues across Python packages. Also cleans unnecessary casts and applies line-level, rule-specific ignores where external libraries are too dynamic.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Reduce pyright cost in handoff cloning
Simplify cloned_options construction in HandoffAgentExecutor to avoid expensive TypedDict narrowing/inference in _handoff.py, which was causing pyright to spend a long time in orchestrations.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix types
* Fix lint and type-check regressions
Resolve current Python package check failures across lint, pyright, and mypy after recent code changes, including purview/declarative pyright issues and multiple ruff simplification findings.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fixed hooks
* Stabilize package tests and test tasks
Resolve cross-package non-integration test failures, simplify streaming type flow, harden locale/culture handling, and standardize package test poe tasks to exclude integration tests where applicable.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* lots of small fixes
* Fix current Python test regressions
Address current failing unit tests in azure-ai, bedrock, and azure-cosmos while keeping Bedrock parsing logic inline (no new static helper methods).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* small fixes
* small fixes
* removed pydantic from json
* final updates
* fix core
* fix tests
* fix obser
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix .NET conversation memory in DevUI (#3484)
* formatting fixes
* fix memory regression in python devui , fix for #4123
* Fix for #3983: Added _get_event_type() helper that safely accesses event type on both objects (.type) and dicts (.get("type")). Replaced all 4 bare event.type accesses in _executor.py (lines 267, 477, 499, 523).
Root cause: PR #3690 changed event.__class__.__name__ == "RequestInfoEvent" (safe) to event.type == "request_info" (crashes on dicts), but _execute_workflow still yields raw dicts on error paths.
Test: test_workflow_error_yields_dict_event_without_crash — mocks a workflow that raises, verifies execute_entity consumes the dict error events without crashing.
* format fixes
* lint fixes
* 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>
* 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
* 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
* 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
* 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>
Evan MattsonandGitHub
Dmytro StrukandGitHub
Victor DibiaandGitHub
Tao ChenandGitHub
