* 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>
* 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
* 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
* 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
* 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
* 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
* 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
* 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>
* 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
* 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
* 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
* 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
* Add samples syntax checking with pyright
- Add pyrightconfig.samples.json with relaxed type checking but import validation
- Add samples-syntax poe task to check samples for syntax and import errors
- Add samples-syntax to check and pre-commit-check tasks
- Fix 78 sample errors:
- Update workflow builder imports to use agent_framework_orchestrations
- Change content type isinstance checks to content.type comparisons
- Use Content factory methods instead of removed content type classes
- Fix TypedDict access patterns for Annotation
- Fix various API mismatches (normalize_messages, ChatMessage.text, role)
* fixed a bunch of samples and tweaks to pre-commit
* updated lock
* updated lock
* fixes
* added lint to samples
Dmytro StrukandGitHub
Rishabh ChawlaandGitHub
