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Author SHA1 Message Date
Dmytro StrukandGitHub fd981da0f8 Fixed CA1873 warning (#4479) 2026-03-04 13:24:53 -08:00
Dmytro StrukandGitHub b2ad1c3424 Update package versions (#4468) 2026-03-04 19:11:30 +00:00
SergeyMenshykhandGitHub afdd1e539d .NET: Discover skill resources from directory instead of markdown links (#4401)
* discover resources in skills folder

* address pr review comments

* change type of AllowedResourceExtensions

* address pr review comment
2026-03-04 18:37:11 +00:00
SergeyMenshykhandGitHub 4dad26fcae Python: [BREAKING] Support code-defined agent skills (#4387)
* support code skills

* address pr review comments

* address package and syntax checks

* address pr review comments

* address pr review comment

* address failed check

* rename agentskill and agetnskillprovider

* move agent skills related assets to _skills.py

* address pr review comments

* address review comments
2026-03-04 18:36:02 +00:00
Dineshsuriya DandGitHub 5fb0cc106a Python: feat(claude): add plugins, setting_sources, thinking, and effort options to ClaudeAgentOptions (#4425)
* feat(claude): add plugins, setting_sources, thinking, and effort options

Add four Claude Agent SDK options to ClaudeAgentOptions that are clean
passthroughs with no abstraction conflicts:

- plugins: load Claude Code plugins programmatically via SdkPluginConfig
- setting_sources: control which .claude settings files are loaded
- thinking: modern extended thinking config (adaptive/enabled/disabled)
- effort: control thinking depth (low/medium/high/max)

* feat(claude): remove max_thinking_tokens, add plugins/setting_sources/thinking/effort

Remove the deprecated max_thinking_tokens field from ClaudeAgentOptions
in favor of the new thinking field (ThinkingConfig).

Add four Claude Agent SDK options as clean passthroughs:
- plugins: load Claude Code plugins via SdkPluginConfig
- setting_sources: control which .claude settings files are loaded
- thinking: extended thinking config (adaptive/enabled/disabled)
- effort: thinking depth control (low/medium/high/max)
2026-03-04 17:05:15 +00:00
Dmytro StrukandGitHub 965a1ec103 Updated package versions (#4470) 2026-03-04 16:49:48 +00:00
e8a7ffbc14 .NET: Skip flacky UT + (Attempt) Merge Gatekeeper fix (#4456)
* Skip flacky UT

* Ignore org-level GitHub App checks in merge-gatekeeper

Add Cleanup artifacts, Agent, Prepare, and Upload results to the
ignored list. These are check runs created by an org-level GitHub App
(MSDO), not by any workflow in this repo, and their transient failures
should not block merges.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-04 14:39:54 +00:00
e7961571a8 .NET: Update Azure.AI.Projects 2.0.0-beta.1 (#4270)
* Update Microsoft.Agents.AI.AzureAI for Azure.AI.Projects SDK 2.0.0

- Bump Azure.AI.Projects to 2.0.0-alpha.20260213.1
- Bump Azure.AI.Projects.OpenAI to 2.0.0-alpha.20260213.1
- Bump System.ClientModel to 1.9.0 (transitive dependency)
- Switch both GetAgent and CreateAgentVersion to protocol methods
  with MEAI user-agent policy injection via RequestOptions
- Migrate 29 CREATE-path tests from FakeAgentClient to HttpHandlerAssert
  pattern for real HTTP pipeline testing
- Fix StructuredOutputDefinition constructor (BinaryData -> IDictionary)
- Fix responses endpoint path (openai/responses -> /responses)
- Add local-packages NuGet source for pre-release nupkgs

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Update Azure.AI.Projects to 2.0.0-beta.1 from NuGet.org

- Update Azure.AI.Projects and Azure.AI.Projects.OpenAI to 2.0.0-beta.1
- Remove local-packages NuGet source (packages now on nuget.org)
- Fix MemorySearchTool -> MemorySearchPreviewTool rename
- Fix RedTeams.CreateAsync ambiguous call
- Fix CreateAgentVersion/Async signature change (BinaryData -> string)
- Suppress AAIP001 experimental warning for WorkflowAgentDefinition

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Move s_modelWriterOptionsWire field before methods that use it

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix flaky test: prevent spurious workflow_invoke Activity on timeout wake-up

The StreamingRunEventStream run loop uses a 1-second timeout on
WaitForInputAsync. When the timeout fires before the consumer calls
StopAsync, the loop would create a spurious workflow_invoke Activity
even though no actual input was provided. This caused the
WorkflowRunActivity_IsStopped_Streaming_OffThread_MultiTurnAsync test
to intermittently fail (expecting 2 activities but finding 3).

Fix: guard the loop body with a HasUnprocessedMessages check. On
timeout wake-ups with no work, the loop waits again without creating
an activity or changing the run status.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix epoch race condition causing unit tests to hang on net10.0 and net472

The HasUnprocessedMessages guard (previous commit) correctly prevents
spurious workflow_invoke Activity creation on timeout wake-ups, but
exposed a latent race in the epoch-based signal filtering.

The race: when the run loop processes messages quickly and calls
Interlocked.Increment(ref _completionEpoch) before the consumer calls
TakeEventStreamAsync, the consumer reads the already-incremented epoch
and sets myEpoch = epoch + 1. This causes the consumer to skip the
valid InternalHaltSignal (its epoch < myEpoch) and block forever
waiting for a signal that will never arrive (since the guard prevents
spurious signal generation).

Fix: read _completionEpoch without +1. The +1 was originally needed to
filter stale signals from timeout-driven spurious loop iterations, but
those no longer exist thanks to the HasUnprocessedMessages guard.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Revert "Fix epoch race condition causing unit tests to hang on net10.0 and net472"

This reverts commit 6ce7f01be8.

* Revert "Fix flaky test: prevent spurious workflow_invoke Activity on timeout wake-up"

This reverts commit 98963e17f2.

* Skip hanging multi-turn declarative integration tests

The ValidateMultiTurnAsync tests (ConfirmInput.yaml, RequestExternalInput.yaml)
hang indefinitely in CI, blocking the merge queue. The hang is SDK-independent
(reproduces with both Azure.AI.Projects 1.2.0-beta.5 and 2.0.0-beta.1) and
is a pre-existing issue in the declarative workflow multi-turn test logic.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Remove unused using directive in IntegrationTest.cs

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Restore Azure.AI.Projects 2.0.0-beta.1 version bump

The merge from main accidentally reverted the package versions back to
1.2.0-beta.5. This is the primary change of this PR.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address merge conflict

* Skip flaky WorkflowRunActivity_IsStopped_Streaming_OffThread_MultiTurnAsync test

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Skip CheckSystem test cases temporarily

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-04 11:36:39 +00:00
f788fdc72b Disable OpenAIAssistant structured output integration tests (#4451)
Skip all three structured output run tests in
OpenAIAssistantStructuredOutputRunTests as they fail intermittently
on the build agent/CI, matching the pattern already used in
AzureAIAgentsPersistentStructuredOutputRunTests.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-04 11:21:05 +00:00
4dc20c6be4 Python: Fix PowerFx eval crash on non-English system locales by setting CurrentUICulture to en-US (#4408)
* Fix #4321: Set CurrentUICulture to en-US in PowerFx eval()

On non-English systems, CultureInfo.CurrentUICulture causes PowerFx to
emit localized error messages. The existing ValueError guard only matches
English strings ("isn't recognized", "Name isn't valid"), so undefined
variable errors crash instead of returning None gracefully.

Fix: save and restore CurrentUICulture alongside CurrentCulture before
calling engine.eval(), ensuring error messages are always in English.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Reuse single CultureInfo instance to avoid redundant allocations

Cache CultureInfo("en-US") in a local variable instead of instantiating
it twice per eval() call, as suggested in PR review.

Fixes #4321

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add assertion for CurrentUICulture restoration after eval

Assert that the production code's finally-block correctly restores
CurrentUICulture to it-IT after eval returns, covering future
regressions where the culture could leak.

The CultureInfo caching suggestion (comment #2) was already
implemented in the production code.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-04 05:46:16 +00:00
e3ea71ec2e fix(anthropic): set role='assistant' on message_start streaming update (#4329)
Co-authored-by: Leela Karthik U <wqtk@novonordisk.com>
Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com>
2026-03-04 00:23:43 +00:00
b0ac3939c1 Python: Fix MCP tools duplicated on second turn when runtime tools are present (#4432)
* Fix MCP tools duplicated on second turn when runtime tools are present

When AG-UI's collect_server_tools pre-expands MCP functions on turn 2
(after the MCP server is connected), _prepare_run_context unconditionally
appends them again from self.mcp_tools, duplicating every MCP tool.

Skip MCP functions whose names already exist in the final tool list,
following the same name-based dedup pattern used in _merge_options.

Fixes #4381

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* mypy fix

* Remove issue-specific references from test docstring

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-04 00:21:01 +00:00
Dmytro StrukandGitHub b5edb529b7 Python: Upgraded azure-ai-projects to 2.0.0b4 (#4438)
* Upgraded azure-ai-projects to 2.0.0b4

* Fixed tests
2026-03-04 00:11:41 +00:00
Dmytro StrukandGitHub 5ba1c6f0cc .NET: Updated Copilot SDK to the latest version (#4406)
* Updated Copilot SDK to the latest version

* Added retry
2026-03-03 23:28:24 +00:00
2b3c401848 Python: Fix: Parse oauth_consent_request events in Azure AI client (#4197)
* Fix: Parse oauth_consent_request events in Azure AI client (#3950)

When Azure AI Agent Service returns an oauth_consent_request output item
for OAuth-protected MCP tools, the base OpenAI responses parser drops it
(hits case _ default branch). This causes agent runs to complete silently
with zero content.

Changes:
- Add oauth_consent_request ContentType and Content.from_oauth_consent_request()
  factory with consent_link field and user_input_request=True
- Override _parse_response_from_openai and _parse_chunk_from_openai in
  RawAzureAIClient to intercept Azure-specific oauth_consent_request items
- Add _emit_oauth_consent helper in AG-UI to emit CustomEvent for frontends
- Add tests proving base parser drops the event and Azure AI override catches it

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* addressed comment

* addressed comments

* addressed comments

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-03 23:02:03 +00:00
7135ed13eb Python: Add file_ids and data_sources support to get_code_interpreter_tool() (#4201)
* Python: Add file_ids and data_sources support to AzureAIAgentClient.get_code_interpreter_tool()

Update the factory method to accept file_ids and data_sources keyword
arguments, matching the underlying azure.ai.agents SDK CodeInterpreterTool
constructor. This enables users to attach uploaded files for code
interpreter analysis.

Fixes #4050

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* addressed comments

* addressed comments

* Add per-message file attachment support for AzureAIAgentClient

Add hosted_file handling in _prepare_messages() to convert
Content.from_hosted_file() into MessageAttachment on ThreadMessageOptions.
This enables per-message file scoping for code interpreter, matching the
underlying Azure AI Agents SDK MessageAttachment pattern.

- Add hosted_file case in _prepare_messages() match statement
- Import MessageAttachment from azure.ai.agents.models
- Add sample for per-message CSV file attachment with code interpreter
- Add employees.csv test data file
- Add 3 unit tests for hosted_file attachment conversion

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review: validation, fix assertions, remove MessageAttachment

- Add empty string validation in resolve_file_ids()
- Add test for Content with file_id=None
- Add test for empty string file_ids
- Revert MessageAttachment/hosted_file handling from _prepare_messages()
  (moved to separate issue #4352 for proper design)
- Remove per-message file upload sample and employees.csv
- Keep data_sources assertion as-is (dict keyed by asset_identifier)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-03 23:01:17 +00:00
Tao ChenandGitHub 1a8729d5a7 Python: Fix workflow tests pyright warnings (#4362)
* Fix workflow tests pyright warnings

* Update uv.lock

* Fix pyright

* Comments

* Update root pyproject pyright setting

* Update core pyproject pyright setting

* Update core pyproject pyright setting
2026-03-03 21:52:05 +00:00
2a20750110 ADR: Python context compaction strategy (#3802)
* Add ADR for Python context compaction strategy

* Remove async vs sync open question - compact() is async

* updated adr

* docs: refine context compaction ADR

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated adr

* further refinement

* renamed and numbered

* remove XX version

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-03 20:24:02 +00:00
fae36b36f2 Python: Add OpenTelemetry instrumentation to ClaudeAgent (#4278) (#4326)
* Python: Add OpenTelemetry instrumentation to ClaudeAgent (#4278)

Add inline telemetry to ClaudeAgent.run() so that enable_instrumentation()
emits invoke_agent spans and metrics. Covers both streaming and
non-streaming paths using the same observability helpers as
AgentTelemetryLayer. Adds 5 unit tests for telemetry behavior.

Co-Authored-By: amitmukh <amimukherjee@microsoft.com>

* Address PR review feedback for ClaudeAgent telemetry

- Add justification comment for private observability API imports
- Pass system_instructions to capture_messages for system prompt capture
- Use monkeypatch instead of try/finally for test global state isolation

Co-Authored-By: amitmukh <amitmukh@users.noreply.github.com>
Co-Authored-By: Claude <noreply@anthropic.com>

* Adopt AgentTelemetryLayer instead of inline telemetry

Restructure ClaudeAgent to inherit from AgentTelemetryLayer via a
_ClaudeAgentRunImpl mixin, eliminating duplicated telemetry code and
private API imports.

MRO: ClaudeAgent → AgentTelemetryLayer → _ClaudeAgentRunImpl → BaseAgent

- Remove inline _run_with_telemetry / _run_with_telemetry_stream methods
- Remove private observability helper imports (_capture_messages, etc.)
- Add default_options property mapping system_prompt → instructions
- Net -105 lines by reusing core telemetry layer

Co-Authored-By: amitmukh <amitmukh@users.noreply.github.com>
Co-Authored-By: Claude <noreply@anthropic.com>

* Fix mypy: align _ClaudeAgentRunImpl.run() signature with AgentTelemetryLayer.run()

Remove explicit `options` parameter from mixin's run() signature and
extract it from **kwargs to match AgentTelemetryLayer's signature.
Also align overload return types (ResponseStream, Awaitable) to match.

Co-Authored-By: Claude <noreply@anthropic.com>

* Introduce RawClaudeAgent following framework's RawAgent/Agent pattern

Replace private _ClaudeAgentRunImpl mixin with public RawClaudeAgent
class that contains all core logic (init, run, lifecycle, tools).
ClaudeAgent becomes a thin wrapper that adds AgentTelemetryLayer.

- RawClaudeAgent(BaseAgent): full implementation without telemetry
- ClaudeAgent(AgentTelemetryLayer, RawClaudeAgent): adds OTel tracing
- Export RawClaudeAgent from package __init__.py

Users who want to skip telemetry or provide their own can use
RawClaudeAgent directly.

Co-Authored-By: Claude <noreply@anthropic.com>

* Address review nits: trim RawClaudeAgent docstring, fix import paths

- Simplify RawClaudeAgent docstring to a single basic example (not the
  primary entry point for most users)
- Use agent_framework.anthropic import path in docstrings instead of
  direct agent_framework_claude path
- Add RawClaudeAgent to agent_framework.anthropic lazy re-exports

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: Amit Mukherjee <amimukherjee@microsoft.com>
Co-authored-by: amitmukh <amitmukh@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
2026-03-03 20:12:21 +00:00
c5ed8209df Python: Fix StandardMagenticManager to propagate session to manager agent (#4409)
* Fix #4371: Propagate session to manager agent in StandardMagenticManager

StandardMagenticManager._complete() was calling self._agent.run(messages)
without passing a session. This caused context providers (e.g.
RedisHistoryProvider) configured on the manager agent to silently fail,
as each call created a new ephemeral session with a different session_id.

Changes:
- Create an AgentSession in StandardMagenticManager.__init__()
- Pass session=self._session in _complete() calls to agent.run()
- Persist/restore the session in checkpoint save/restore methods
- Add regression tests for session propagation and checkpoint round-trip

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add type: ignore[reportPrivateUsage] to private attribute assertions in tests

Address PR review feedback: add # type: ignore[reportPrivateUsage] comments
to _session attribute accesses in the new regression tests, matching the
existing convention used elsewhere in test_magentic.py (e.g., lines 401-406).

The @pytest.mark.asyncio decorator is not needed because pyproject.toml
sets asyncio_mode = "auto".

Fixes #4371

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review: use getattr for private _session access in tests (#4371)

Replace direct mgr._session access with getattr(mgr, "_session") to avoid
reportPrivateUsage type-checking warnings without needing type: ignore comments.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Apply pre-commit auto-fixes

* Address PR review: fix session restore guard and improve test robustness (#4371)

- Use 'is not None' instead of truthiness check for session_payload restore
- Use getattr() for private _session attribute access in tests
- Add backward-compatibility test for on_checkpoint_restore with empty state

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Make non-async tests plain def to avoid pytest-asyncio dependency (#4409)

Tests that never await anything don't need to be async. Using plain def
ensures they always run regardless of pytest-asyncio configuration.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Apply pre-commit auto-fixes

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-03 18:26:04 +00:00
westeyandGitHub d5da6e05d8 .NET: [BREAKING] Change *Provider StateKey to list of StateKeys (#4395)
* Change *Provider StateKey to list of StateKeys

* Add more statekey validation tests

* Address PR comments
2026-03-03 17:25:22 +00:00
1c0ae4b659 Python: Added Shell tool (#4339)
* Added shell tool

* Fixed CI error

* Add ShellTool support for OpenAI and Anthropic providers

- Add shell_tool_call, shell_tool_result, and shell_command_output content types
- Add ShellTool class and shell_tool decorator to core
- Add get_hosted_shell_tool() to OpenAI Responses client
- Handle shell_call and shell_call_output parsing in OpenAI (sync and streaming)
- Map ShellTool to Anthropic bash tool API format
- Parse bash_code_execution_tool_result as shell_tool_result in Anthropic
- Add unit tests for all new functionality
- Add sample scripts for hosted and local shell execution

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Addressed comments

* Reverted ruff change

* Fixed tests

* Addressed comments

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-03 16:22:15 +00:00
dae3caa719 Python: Fix IndexError when reasoning models produce reasoning-only messages in Magentic-One workflow (#4413)
* Fix IndexError when reasoning models return no text content (#4384)

In _prepare_message_for_openai(), the text_reasoning case unconditionally
accessed all_messages[-1] to attach reasoning_details. When a reasoning
model (e.g. gpt-5-mini) returns reasoning_details without text content,
all_messages is empty, causing an IndexError.

Guard the access by initializing all_messages with the current args dict
when it is empty, so reasoning_details can be safely attached.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review: buffer reasoning details for valid message payloads (#4384)

- Buffer pending reasoning details and attach to the next message with
  content/tool_calls, avoiding standalone reasoning-only messages.
- When reasoning is the only content, emit a message with empty content
  to satisfy Chat Completions schema requirements.
- Strengthen test assertions to verify text+reasoning co-location and
  that all messages with reasoning_details also have content or tool_calls.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix text_reasoning handling: always buffer and tighten tests (#4384)

- Always buffer reasoning into pending_reasoning instead of conditionally
  attaching to the previous message via fragile all_messages emptiness check
- Attach buffered reasoning to last message at end-of-loop when no subsequent
  content consumed it
- Assert exact content values (content == '' not in ('', None))
- Assert exact list lengths (== 1 not >= 1) for stronger regression guards
- Add test for reasoning before FunctionCallContent

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Apply pre-commit auto-fixes

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-03 16:13:24 +00:00
c37f74f898 Python: Add Azure Cosmos history provider package (#4271)
* Created cosmos history provider

* add marker

* Python: address Cosmos PR feedback

- address provider/test/sample review feedback and cleanup typing
- add cosmos integration test coverage and skip gating
- add dedicated cosmos emulator jobs to python merge/integration workflows
- switch cosmos workflow execution to package poe integration-tests task

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: handle empty Cosmos session id

- replace default partition fallback for empty session_id
- log warning and generate GUID when session_id is empty
- update unit tests to validate GUID fallback behavior

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix sample

* fix cross partition query

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-03 12:29:32 +00:00
945933c351 [BREAKING] Add response filter for store input in *Providers (#4327)
* Add response filter for store input for *Providers

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Address feedback

* Apply suggestions from code review

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
2026-03-03 11:02:02 +00:00
2e9319359b Python: Add regression tests for Entry JoinExecutor Workflow.Inputs initialization (#4335)
* Python: Add regression tests for #3948 - Entry JoinExecutor initializes Workflow.Inputs

Add tests verifying that when workflow.run() is called with a dict or string
input, the Entry node (JoinExecutor with kind: 'Entry') correctly initializes
Workflow.Inputs via _ensure_state_initialized so that:
- Expressions like =inputs.age resolve to the correct value
- Conditions like =Local.age < 13 evaluate based on actual input (not blank/0)
- String inputs populate both inputs.input and System.LastMessage.Text

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Apply pre-commit auto-fixes

* Fix D420 and RUF070 lint errors across packages

* Revert _workflow.py yield-inside-context-manager changes

Moving yield inside `with _framework_event_origin()` blocks in the
async generator causes ContextVar token reset failures on Python 3.12
Windows. The token stays un-reset while the generator is suspended,
and async generator finalization in a different contextvars.Context
triggers ValueError, corrupting OpenTelemetry span state and causing
test_span_creation_and_attributes to see leaked spans.

Keep yields outside the context manager blocks to ensure tokens are
reset immediately before the generator suspends.

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-03 10:08:40 +00:00
CopilotGitHubeavanvalkenburgcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
debec5208c Python: Add auto_retry.py sample for rate limit handling (#4223)
* Initial plan

* Add auto_retry.py sample for rate limiting handling

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Update auto_retry sample to use class decorator for get_response retries

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Address review feedback on auto_retry sample header and wrapper usage

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Restore class-decorator retry sample and address reviewer feedback

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@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>
2026-03-03 08:51:38 +00:00
869e51fdce Python: fix(python): Handle thread.message.completed event in Assistants API streaming (#4333)
* fix: handle thread.message.completed event in Assistants API streaming

Previously, `thread.message.completed` events fell through to the
catch-all `else` branch and yielded empty `ChatResponseUpdate` objects,
silently discarding fully-resolved annotation data (file citations,
file paths, and their character-offset regions).

This commit adds a dedicated handler for `thread.message.completed`
that:
- Walks the completed ThreadMessage.content array
- Extracts text blocks with their fully-resolved annotations
- Maps FileCitationAnnotation and FilePathAnnotation to the
  framework's Annotation type with proper TextSpanRegion data
- Yields a ChatResponseUpdate containing the complete text and
  annotations

Fixes #4322

* test: add tests for thread.message.completed annotation handling

Tests cover:
- File citation annotation extraction
- File path annotation extraction
- Multiple annotations on a single text block
- Text-only messages (no annotations)
- Non-text blocks are skipped
- Mixed content blocks (text + image)
- Conversation ID propagation

* fix: address Copilot review - add quote field and log unrecognized annotations

- Include `quote` from `annotation.file_citation.quote` in
  `additional_properties` for FileCitationAnnotation, preserving the
  exact cited text snippet from the source file
- Add `else` clause to log unrecognized annotation types at debug level,
  consistent with the pattern in `_responses_client.py`
- Add `import logging` and module-level logger

* test: add coverage for quote field and unrecognized annotation logging

- test_message_completed_with_file_citation_quote: verifies quote is
  included in additional_properties
- test_message_completed_with_file_citation_no_quote: verifies quote
  is omitted when None
- test_message_completed_unrecognized_annotation_logged: verifies
  unknown annotation types are logged at debug level and skipped

* fix: address reviewer nits — logger name convention + annotation type string

Per @giles17's review:
- Use logging.getLogger('agent_framework.openai') to match module convention
- Simplify debug message to use annotation.type instead of type().__name__

* refactor: move message.completed tests into consolidated test file

Per @giles17's review: moved all tests from test_assistants_message_completed.py
into test_openai_assistants_client.py and deleted the standalone file.

* fix: resolve mypy no-redef and ruff RET504 lint errors

- Remove duplicate type annotation for 'ann' variable (no-redef)
- Return directly from fixture instead of unnecessary assignment (RET504)

* fix: rename annotation variable in completed block to fix mypy type conflict

The 'annotation' loop variable in thread.message.completed has type
FileCitationAnnotation | FilePathAnnotation, which conflicts with the
delta block's 'annotation' of type FileCitationDeltaAnnotation |
FilePathDeltaAnnotation. Renamed to 'completed_annotation' to avoid
mypy 'Incompatible types in assignment' error.

* fix: remove quote field from FileCitationAnnotation handling

---------

Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com>
2026-03-03 04:07:00 +00:00
L. Elaine DazzioandGitHub ef8e18fb85 Python: fix(python): Use AgentResponse.value instead of model_validate_json in HITL sample (#4405)
* fix(python): use AgentResponse.value instead of model_validate_json in HITL sample

Since the agent is configured with response_format=GuessOutput, the
AgentResponse already provides .value with the parsed Pydantic model.
Using .value is more idiomatic and avoids redundant JSON parsing.

Fixes #4396

* fix: add safety guard for AgentResponse.value being None

Address Copilot review feedback: .value is optional and may be None
if response_format isn't propagated through the streaming path.
Add an explicit None check with a clear error message.
2026-03-03 03:06:08 +00:00
Tao ChenandGitHub d7abfcd444 Move sample validation script from samples/ to scripts/ (#4400) 2026-03-02 23:36:18 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
6de5e57b20 Bump uv from 0.10.5 to 0.10.7 in /python (#4393)
Bumps [uv](https://github.com/astral-sh/uv) from 0.10.5 to 0.10.7.
- [Release notes](https://github.com/astral-sh/uv/releases)
- [Changelog](https://github.com/astral-sh/uv/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/uv/compare/0.10.5...0.10.7)

---
updated-dependencies:
- dependency-name: uv
  dependency-version: 0.10.7
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

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2026-03-02 23:35:26 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
aa0148a9be Bump poethepoet from 0.42.0 to 0.42.1 in /python (#4392)
Bumps [poethepoet](https://github.com/nat-n/poethepoet) from 0.42.0 to 0.42.1.
- [Release notes](https://github.com/nat-n/poethepoet/releases)
- [Commits](https://github.com/nat-n/poethepoet/compare/v0.42.0...v0.42.1)

---
updated-dependencies:
- dependency-name: poethepoet
  dependency-version: 0.42.1
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

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2026-03-02 23:35:08 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
3c66820307 Bump prek from 0.3.3 to 0.3.4 in /python (#4391)
Bumps [prek](https://github.com/j178/prek) from 0.3.3 to 0.3.4.
- [Release notes](https://github.com/j178/prek/releases)
- [Changelog](https://github.com/j178/prek/blob/master/CHANGELOG.md)
- [Commits](https://github.com/j178/prek/compare/v0.3.3...v0.3.4)

---
updated-dependencies:
- dependency-name: prek
  dependency-version: 0.3.4
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

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2026-03-02 23:34:13 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
986e60a165 Bump ruff from 0.15.2 to 0.15.4 in /python (#4390)
Bumps [ruff](https://github.com/astral-sh/ruff) from 0.15.2 to 0.15.4.
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/ruff/compare/0.15.2...0.15.4)

---
updated-dependencies:
- dependency-name: ruff
  dependency-version: 0.15.4
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

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2026-03-02 23:33:38 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2b5e556256 Bump rollup (#4386)
Bumps [rollup](https://github.com/rollup/rollup) from 4.52.4 to 4.59.0.
- [Release notes](https://github.com/rollup/rollup/releases)
- [Changelog](https://github.com/rollup/rollup/blob/master/CHANGELOG.md)
- [Commits](https://github.com/rollup/rollup/compare/v4.52.4...v4.59.0)

---
updated-dependencies:
- dependency-name: rollup
  dependency-version: 4.59.0
  dependency-type: indirect
...

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2026-03-02 23:33:15 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
5276a6c371 Bump rollup in /python/samples/demos/ag_ui_workflow_handoff/frontend (#4284)
Bumps [rollup](https://github.com/rollup/rollup) from 4.57.1 to 4.59.0.
- [Release notes](https://github.com/rollup/rollup/releases)
- [Changelog](https://github.com/rollup/rollup/blob/master/CHANGELOG.md)
- [Commits](https://github.com/rollup/rollup/compare/v4.57.1...v4.59.0)

---
updated-dependencies:
- dependency-name: rollup
  dependency-version: 4.59.0
  dependency-type: indirect
...

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-03-02 23:06:34 +00:00
a442ee115d .NET: AzureAI Package - Skip tool validation when UseProvidedChatClientAsIs is true (#4389)
* Skip tool validation when UseProvidedChatClientAsIs is true (#3855)

When GetAIAgentAsync is called with ChatClientAgentOptions.UseProvidedChatClientAsIs = true,
skip requireInvocableTools validation so users can handle function calls manually
via custom ChatClient middleware without needing to provide matching AIFunction tools.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Simplify requireInvocableTools expression per review feedback

UseProvidedChatClientAsIs is a non-nullable bool, so use ! operator
instead of != true for clarity.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Decouple tool matching from validation and add tool preservation test (#3855)

Always match provided AIFunctions to server-side function definitions
regardless of requireInvocableTools flag. Only throw when validation
is required and no match is found. This ensures UseProvidedChatClientAsIs
still preserves user-provided AIFunction tools instead of falling back
to the broken ResponseToolAITool wrapper.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-02 22:12:55 +00:00
3b4eed270f .NET: Skip OffThread observability test (#4399)
* Skip flaky OffThread observability test

Temporarily skip CreatesWorkflowEndToEndActivities_WithCorrectName_OffThreadAsync
due to intermittent failures. Tracked in #4398.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Update dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-03-02 19:30:32 +00:00
Peter IbekweandGitHub d932947ba5 Add Name and Description support for GroupChat workflow builder (#4334) 2026-03-02 19:29:32 +00:00
westeyandGitHub f6b0610a6c .NET: AuthN & AuthZ sample with asp.net service and web client (#4354)
* Add sample demonstrating authentication and user access in agent tools

* Add fixes to enable running on windows

* Add launchsettings, add docker-compose to slnx and fix formatting

* Switch to Expenses rather than todo based sample and address PR comments

* Rename sample

* Fix formatting
2026-03-02 18:41:14 +00:00
SergeyMenshykhandGitHub 8a18f39b36 fix the issue (#4388) 2026-03-02 16:48:10 +00:00
db48f8ce09 .NET: Fixing issue with invalid node Ids when visualizing dotnet workflows. (#4269)
* Fix Mermaid rendering errors in WorkflowVisualizer.ToMermaidString

Fix two bugs in the Mermaid diagram output:

1. Use safe node aliases (node_0, node_1, ...) instead of raw executor IDs
   as Mermaid node identifiers. Raw IDs containing spaces, dots, or
   non-ASCII characters (e.g. Japanese) caused Mermaid parse errors.

2. Fix conditional edge arrow syntax from '.--> ' (invalid) to '.-> '
   (valid Mermaid dotted arrow syntax).

Fixes #1406

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Use recognizable sanitized IDs for Mermaid node identifiers\n\nReplace generic node_0/node_1 aliases with IDs derived from the original\nexecutor names. ASCII letters, digits, and underscores are preserved;\nother characters become underscores (collapsed, trimmed). Leading digits\nget an n_ prefix. Collisions are resolved with a numeric suffix.\n\nThis keeps node IDs readable in the Mermaid source while the display\nlabels continue to show the full original names."

* Remove issue number references from test names and comments"

* Address PR review feedback from Copilot\n\n- Add Throw.IfNull(id) guard to SanitizeMermaidNodeId\n- Add safety limit (10,000) to collision resolution loop\n- Restore missing edge assertions (middle1/middle2 --> end)\n- Fix comment to show actual sanitized ID (n_1_User_input)\n- Use stricter regex in Unicode test (must start with letter/underscore)"

* Address second round of PR review feedback\n\n- Escape node display labels via EscapeMermaidLabel to handle quotes,\n  brackets, and newlines in executor IDs\n- Fix XML doc on SanitizeMermaidNodeId to accurately describe that\n  existing consecutive underscores in input are preserved\n- Restore specific edge assertion (mid --> end) in conditional edge test\n- Restore fan-in routing assertions (s1/s2 through intermediate node,\n  no direct edges to t) in fan-in test"

---------

Co-authored-by: alliscode <bentho@microsoft.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-02 16:26:14 +00:00
7d374f00bb Python: Fix samples discovered by auto validation pipeline (#4355)
* Fix samples discovered by auto validation pipeline

* Update python/samples/02-agents/devui/in_memory_mode.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-03-02 16:24:20 +00:00
c4f643a750 Python: Fix walrus operator precedence for model_id kwarg in AzureOpenAIResponsesClient (#4310)
* Fix walrus operator precedence for model_id in AzureOpenAIResponsesClient (#4299)

Add parentheses around the walrus assignment so model_id receives the
actual string value instead of the boolean result of
`kwargs.pop(...) and not deployment_name`.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review: replace walrus with explicit None check, add edge-case tests (#4299)

- Replace walrus operator with explicit assignment and 'is not None'
  check to avoid boolean-coercion pitfalls (empty string now correctly
  surfaces as ValueError instead of silently falling back)
- Add test: deployment_name takes precedence over model_id kwarg
- Add test: model_id='' raises ValueError
- Add test: model_id=None falls back to env var

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add explicit validation for empty model_id in AzureOpenAIResponsesClient

Reject empty or whitespace-only model_id with ValueError instead of
silently passing an empty deployment name downstream. This ensures the
test_init_model_id_kwarg_empty_string test correctly validates behavior
defined in production code rather than relying on downstream validation.

Addresses PR review feedback for #4299.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Simplify model_id handling using walrus operator

Addresses review comment on PR #4310.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Restore explicit model_id validation to fix test failures (#4299)

The walrus operator refactor silently dropped the empty-string validation,
causing test_init_model_id_kwarg_empty_string to fail. Restore the explicit
None check and ValueError raise for empty model_id.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Revert "Restore explicit model_id validation to fix test failures (#4299)"

This reverts commit 1d2965fff6.

* Revert to walrus operator fix per review feedback

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-02 14:06:58 +00:00
SergeyMenshykhandGitHub 26cef555ce Revert ".NET: Support hosted code interpreter for skill script execution (#4192)" (#4385)
This reverts commit c9cd067be6.
2026-03-02 12:50:44 +00:00
de791fb8a9 .Net: Add additional Hosted Agent Samples (#4325)
* Add 3 new hosted agent samples: AgentWithTools, AgentWithLocalTools, AgentThreadAndHITL

- AgentWithTools: Foundry tools (MCP + code interpreter) via UseFoundryTools
- AgentWithLocalTools: Local C# function tool (Seattle hotel search) with AIProjectClient
- AgentThreadAndHITL: Human-in-the-loop with ApprovalRequiredAIFunction and thread persistence

All samples follow agent-framework conventions (net10.0, AzureCliCredential, CPM disabled).
AgentWithTools includes comprehensive README with setup guide and troubleshooting.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add root HostedAgents README, replace test_requests.py with .http, update sample READMEs

- Create root README.md with shared prerequisites, Azure AI Foundry setup,
  troubleshooting, and samples index
- Replace test_requests.py with run-requests.http in AgentThreadAndHITL
- Add pointer to root README in all 6 sample READMEs
- Trim AgentWithTools README to concise style

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix dotnet format issues in AgentWithLocalTools/Program.cs

- Add UTF-8 BOM (CHARSET)
- Sort System.ClientModel.Primitives import alphabetically (IMPORTS)
- Use target-typed new for AIProjectClient (IDE0090)
- Add internal accessibility modifier to Hotel record (IDE0040)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review: align model names and package versions

- Change default model from gpt-4.1-mini to gpt-4o-mini in AgentWithLocalTools
  (Program.cs, agent.yaml, README.md) to match existing samples
- Change README example from gpt-5.2 to gpt-4o-mini in AgentWithTools and root README
- Align AgentWithLocalTools package versions with other samples:
  Azure.AI.AgentServer.AgentFramework beta.6 -> beta.8
  Azure.AI.OpenAI 2.8.0-beta.1 -> 2.7.0-beta.2
  Microsoft.Extensions.AI.OpenAI 10.2.0-preview -> 10.1.1-preview

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Upgrade new samples to latest package versions

- Azure.AI.OpenAI: 2.7.0-beta.2 -> 2.8.0-beta.1
- Microsoft.Extensions.AI.OpenAI: 10.1.1-preview -> 10.3.0

Aligns with AgentWithHostedMCP which uses the latest versions.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Pin AgentThreadAndHITL to Microsoft.Extensions.AI.OpenAI 10.1.1

Azure.AI.AgentServer.AgentFramework beta.8 was compiled against
Microsoft.Extensions.AI.Abstractions with the single-param
FunctionApprovalRequestContent.CreateResponse(bool). Version 10.3.0
changed the signature to include an optional reason parameter, causing
a binary incompatibility at runtime. Pin to 10.1.1 until the framework
is recompiled against the newer abstractions.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-02 10:56:28 +00:00
Victor DibiaandGitHub 9124d51e0e Python: .NET: Fix .NET conversation memory in DevUI (#3484) (#4294)
* 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
2026-03-02 10:34:25 +00:00
0d6b9d61a5 Python: Fix executor handler type resolution when using from __future__ import annotations (#4317)
* Python: Fix Executor handler type checking with __future__ annotations (#3898)

Use typing.get_type_hints() in _validate_handler_signature to resolve
string annotations from `from __future__ import annotations`. This
mirrors the fix applied to FunctionExecutor in #2308.

When __future__ annotations are enabled, type annotations are stored as
strings. The handler decorator was passing these strings directly to
validate_workflow_context_annotation, which uses typing.get_origin and
returns None for strings, causing a ValueError.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review feedback for #3898: improve error handling and test coverage

- Wrap typing.get_type_hints() in try/except to provide a descriptive
  ValueError mentioning the handler name when annotations cannot be resolved
- Strengthen bare context test to assert output_types and workflow_output_types
- Add test for @handler(input=..., output=...) with future annotations
  covering the skip_message_annotation branch
- Add test for union-type context annotations with future annotations

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Narrow exception catch and add test for unresolvable annotations (#3898)

- Narrow except clause from bare Exception to (NameError, AttributeError,
  TypeError) to avoid masking unexpected errors.
- Add test_handler_unresolvable_annotation_raises to verify that a handler
  with a forward-reference to a non-existent type raises ValueError with
  the expected message.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix #3898: fall back to raw annotations when get_type_hints fails

When typing.get_type_hints(func) raises NameError (unresolvable forward
ref), AttributeError, RecursionError, or any other exception, fall back
to the raw parameter annotations instead of raising a ValueError.
This matches the suggestion from @moonbox3 on PR #4317.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix test to match new fallback behavior when get_type_hints fails (#3898)

The code now falls back to raw string annotations instead of raising
'Failed to resolve type annotations'. A ValueError is still raised when
the raw string ctx annotation is not a valid WorkflowContext type, so
update the test to match on ValueError without checking the message.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Apply pyupgrade: remove unnecessary string annotation quote

* Add noqa for intentionally undefined name in annotation test

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-27 02:59:57 +00:00
Tao ChenandGitHub c45d47d4b2 Python: Tuning auto sample validation workflow (#4218)
* Tuning validate-01-get-started

* Add gh token

* Add model

* enable debug log

* bump up timeout for testing purposes

* Test cli is working

* Fix end quote

* Run gh auth

* Run gh auth trail 2

* Run gh auth trail 3

* Test token

* Add zcure login

* Add zcure login 2

* Add zcure login 3

* Add zcure login 4

* Extract common actions

* Extract common actions 2

* Correct env vars

* Print outputs to action console

* Disable end-to-end samples

* Fix ruff errors

* Fix ruff errors 2

* Revert workflow changes to fix tests

* Revert workflow changes to fix tests 2

* Revert workflow changes to fix tests 3

* Revert workflow changes to fix tests 4
2026-02-27 11:45:10 +09:00
54c0bea3b6 Python: Fix agent option merge to support dict-defined tools (#4314)
* Fix _merge_options dropping dict-defined tools (#4303)

_merge_options used getattr(tool, 'name', None) to de-duplicate tools,
which returns None for dict-style tool definitions. This caused all
override dict tools to be treated as duplicates of each other and of any
base dict tools, silently dropping them.

Add _get_tool_name() helper that extracts the name from both object-style
tools (via .name attribute) and dict-style tools (via tool['function']['name']).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review: fix None dedup bug and add comprehensive tests (#4303)

- Exclude None from existing_names set so nameless/malformed tools are
  not silently deduplicated against each other
- Add test for cross-type dedup (dict tool + object tool with same name)
- Add test verifying nameless tools are preserved (not falsely deduped)
- Add unit tests for _get_tool_name edge cases: missing function key,
  non-dict function value, missing name, no name attribute, non-dict
  inputs, and valid dict/object tools

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-26 22:09:36 +00:00
ff124c44a9 Python: Fix single-tool input handling in OpenAIResponsesClient._prepare_tools_for_openai (#4312)
* Fix OpenAIResponsesClient mishandling single-tool inputs (#4304)

Use normalize_tools() in _prepare_tools_for_openai to wrap single tools
(FunctionTool or dict) in a list before iteration, consistent with the
chat client implementation.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review feedback for #4304

- Use precise type annotation matching normalize_tools/OpenAIChatClient signature
  instead of collapsed Sequence[Any] | Any | None
- Move emptiness guard after normalize_tools() call so single falsy tool
  objects are not silently swallowed
- Import ToolTypes for the type annotation
- Expand test_prepare_tools_for_openai_single_function_tool assertions to
  verify parameters, strict, and parameter schema fields
- Add test_prepare_tools_for_openai_none to verify None input returns []

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-26 22:09:28 +00:00
6f7e55c430 Python: Fix WorkflowAgent not persisting response messages to session history (#1694) (#4319)
WorkflowAgent._run_impl() and _run_stream_impl() did not set
session_context._response before calling _run_after_providers().
This caused InMemoryHistoryProvider.after_run() to see context.response
as None, so response messages were never stored in the session.

On subsequent runs, the workflow only received prior user inputs without
assistant responses, breaking multi-turn conversations.

Fix: Set session_context._response to the workflow result before running
after_run providers, matching the behavior of the regular Agent class.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-26 22:07:58 +00:00
e0461b42c1 Python: Map file citation annotations from TextDeltaBlock in Assistants API streaming (#4316) (#4320)
During Assistants API streaming, TextDeltaBlock.text.annotations was
ignored when creating Content objects. This caused raw placeholder
strings like 【4:0†source】 to pass through to downstream consumers
(including AG-UI) instead of being resolved to citation metadata.

Map FileCitationDeltaAnnotation and FilePathDeltaAnnotation from
delta_block.text.annotations to Annotation objects on the Content,
consistent with the existing patterns in _responses_client.py and
_chat_client.py.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-26 22:07:23 +00:00
b46fe1c82e Python: Preserve workflow run kwargs when continuing with run(responses=...) (#4296)
* fix(python): preserve workflow run kwargs on response continuation (#4293)

When continuing a paused workflow with run(responses=...), the existing
run kwargs stored in state were unconditionally overwritten with an empty
dict. This caused subsequent agent invocations to lose the original run
context (e.g., custom_data, user tokens).

Now kwargs are only overwritten when:
- New kwargs are explicitly provided (override), or
- State was just cleared for a fresh run (initialize to {})

On continuation without new kwargs, existing kwargs are preserved.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review feedback for #4293

- Use consistent get_state(key, {}) default pattern in _agent_executor.py
  and _workflow_executor.py instead of get_state(key) or {} to safely
  handle missing WORKFLOW_RUN_KWARGS_KEY
- Add test for empty-value kwargs on continuation (custom_data={}) to
  verify the is-not-None boundary between overwrite and preserve
- Add test for reset_context=True with no kwargs to exercise the elif
  branch that initializes WORKFLOW_RUN_KWARGS_KEY to {}
- Add len assertion to override test for consistency
- Document kwargs-collapsing behavior at the public API call site

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-26 20:57:04 +00:00
823e714ccf Python: Strip reserved kwargs in AgentExecutor to prevent duplicate-argument TypeError (#4298)
* Python: Strip reserved kwargs in AgentExecutor to prevent collision (#4295)

workflow.run(session=...) passed 'session' through to agent.run() via
**run_kwargs while AgentExecutor also passes session=self._session
explicitly, causing TypeError: got multiple values for keyword argument.

_prepare_agent_run_args now strips reserved params (session, stream,
messages) from run_kwargs and logs a warning when they are present.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review feedback for #4295

- Use _RESERVED_RUN_PARAMS constant in stripping loop instead of
  hardcoded tuple to maintain single source of truth
- Trim frozenset to only stripped keys (session, stream, messages);
  options and additional_function_arguments have separate merge logic
- Fix caplog type annotation to use TYPE_CHECKING pattern
- Assert options return value in reserved-kwarg stripping test
- Add test for multiple reserved kwargs supplied simultaneously
- Add integration test for messages= kwarg via workflow.run()

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-26 20:53:20 +00:00
97b24990d9 Python: Tighten HandoffBuilder to require Agent instead of SupportsAgentRun (#4301) (#4302)
HandoffBuilder.participants() accepted SupportsAgentRun by API contract,
but build() failed at runtime because _prepare_agent_with_handoffs()
requires Agent instances for cloning, tool injection, and middleware.

Fix: Update all public type hints, docstrings, and validation in
HandoffBuilder and HandoffAgentExecutor to require Agent explicitly.
The isinstance check is now performed early in participants() with a
clear error message explaining why Agent is required.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-26 20:52:06 +00:00
a033721ac2 Python: Fix response_format resolution in streaming finalizer (#4291)
* Python: Fix AgentResponse.value being None when streaming workflow (#3970)

The streaming path in BaseAgent.run() used the raw 'options' parameter
(passed by the caller) to bind response_format into the outer stream's
finalizer. When response_format was set in default_options rather than
runtime options, it was missing from the finalizer and value was None.

Fix: Use the merged chat_options from the run context (via ctx_holder),
matching the non-streaming path which already uses ctx['chat_options'].

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback for #3970: safer ctx access, add test coverage

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-26 18:28:14 +00:00
westeyandGitHub b295a16c0e .NET: AgentThread serialization alternatives ADR (#3062)
* AgentThread serialization alternatives ADR

* Update decision drivers.

* Address some Copilot PR comments.

* Fix typo.

* Add ChatClientAgentThread to sample code

* Address comments, rename ADR and update SLNX.
2026-02-26 14:19:42 +00:00
822a3eb5ea .NET: Add helpers to more easily access in-memory ChatHistory and make ChatHistoryProvider management more configurable. (#4224)
* Add helpers to more easily access in-memory ChatHistory and make ChatHistoryProvider management more configurable.

* Apply suggestion from @Copilot

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-02-26 14:16:21 +00:00
c9cd067be6 .NET: Support hosted code interpreter for skill script execution (#4192)
* support script execution by code interpretor

* improve the instruction prompt

* Add DefaultAzureCredential production warning to AgentSkills samples

Add the standard three-line WARNING comment about DefaultAzureCredential
production considerations to both AgentSkills sample Program.cs files,
matching the convention used in all other GettingStarted/Agents samples.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* address pr review comments

* address feedback

* rename Skill* types to FileAgentSkill* prefix for consistency

- Rename SkillFrontmatter -> FileAgentSkillFrontmatter
- Rename SkillScriptExecutor -> FileAgentSkillScriptExecutor
- Add FileAgentSkillScriptExecutionContext and FileAgentSkillScriptExecutionDetails
- Update sample, provider, loader, and tests accordingly

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* reorder usings

* use set for props initialization instead of init

* rename HostedCodeInterpreterSkillScriptExecutor

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-26 13:17:21 +00:00
Evan MattsonandGitHub 8e2cc4bedc Python: Update workflow orchestration samples to use AzureOpenAIResponsesClient (#4285)
* Update workflow orchestration samples to use AzureOpenAIResponsesClient

* Fix broken link
2026-02-26 07:51:25 +00:00
Evan MattsonandGitHub cfaa0c6283 Python: (ag-ui): fix approval payloads being re-processed on subsequent conversation turns (#4232)
* Fix ag-ui tool call issue

* Safe json fix
2026-02-26 04:18:46 +00:00
Evan MattsonandGitHub 02ba27493c Python: Fix Bedrock embedding test stub missing meta attribute (#4287)
* Fix Bedrock embedding test stub missing meta attribute

* Increase test coverage so gate passes
2026-02-26 11:50:40 +09:00
ChrisGitHubcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>Copilot
904a5b843e Python / .NET Samples - Restructure and Improve Samples (Feature Branc… (#4092)
* Python: .NET Samples - Restructure and Improve Samples (Feature Branch) (#4091)

* Moved by agent (#4094)

* Fix readme links

* .NET Samples - Create `04-hosting` learning path step (#4098)

* Agent move

* Agent reorderd

* Remove A2A section from README 

Removed A2A section from the Getting Started README.

* Agent fixed links

* Fix broken sample links in durable-agents README (#4101)

* Initial plan

* Fix broken internal links in documentation

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* Revert template link changes; keep only durable-agents README fix

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* .NET Samples - Create `03-workflows` learning path step (#4102)

* Fix solution project path

* Python: Fix broken markdown links to repo resources (outside /docs) (#4105)

* Initial plan

* Fix broken markdown links to repo resources

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* Update README to rename .NET Workflows Samples section

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* .NET Samples - Create `02-agents` learning path step (#4107)

* .NET: Fix broken relative link in GroupChatToolApproval README (#4108)

* Initial plan

* Fix broken link in GroupChatToolApproval README

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* Update labeler configuration for workflow samples

* .NET - Reorder Agents samples to start from Step01 instead of Step04 (#4110)

* Fix solution

* Resolve new sample paths

* Move new AgentSkills and AgentWithMemory_Step04 samples

* Fix link

* Fix readme path

* fix: update stale dotnet/samples/Durable path reference in AGENTS.md

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* Moved new sample

* Update solution

* Resolve merge (new sample)

* Sync to new sample - FoundryAgents_Step21_BingCustomSearch

* Updated README

* .NET Samples - Configuration Naming Update (#4149)

* .NET: Restore AzureFunctions index parity with ConsoleApps under DurableAgents samples (#4221)

* Clean-up `05_host_your_agent`

* Config setting consistency

* Refine samples

* AGENTS.md

* Move new samples

* Re-order samples

* Move new project and fixup solution

* Fixup model config

* Fix up new UT project

---------

Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
2026-02-26 00:56:10 +00:00
425f27f989 .NET: Fixing issue where OpenTelemetry span is never exported in .NET in-process workflow execution (#4196)
* 1. Add reproduction test for issue #4155: workflow.run Activity never stopped in streaming OffThread path

The WorkflowRunActivity_IsStopped_Streaming_OffThread test demonstrates that
the workflow.run OpenTelemetry Activity created in StreamingRunEventStream.RunLoopAsync
is started but never stopped when using the OffThread/Default streaming execution.
The background run loop keeps running after event consumption completes, so the
using Activity? declaration never disposes until explicit StopAsync() is called.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

2. Fix workflow.run Activity never stopped in streaming OffThread execution (#4155)

The workflow.run OpenTelemetry Activity in StreamingRunEventStream.RunLoopAsync
was scoped to the method lifetime via 'using'. Since the run loop only exits on
cancellation, the Activity was never stopped/exported until explicit disposal.

Fix: Remove 'using' and explicitly dispose the Activity when the workflow reaches
Idle status (all supersteps complete). A safety-net disposal in the finally block
handles cancellation and error paths.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add root-level workflow.session activity spanning run loop lifetime\n\nImplements two-level telemetry hierarchy per PR feedback from lokitoth:\n- workflow.session: spans the entire run loop / stream lifetime\n- workflow_invoke: per input-to-halt cycle, nested within the session\n\nThis ensures the session activity stays open across multiple turns,\nwhile individual run activities are created and disposed per cycle.\n\nAlso fixes linkedSource CancellationTokenSource disposal leak in\nStreamingRunEventStream (added using declaration)."

* Address Copilot review: fix Activity/CTS disposal, rename activity, add error tag\n\n1. LockstepRunEventStream: Remove 'using' from Activity in async iterator\n   and manually dispose in finally block (fixes #4155 pattern). Also dispose\n   linkedSource CTS in finally to prevent leak.\n2. Tags.cs: Add ErrorMessage (\"error.message\") tag for runtime errors,\n   distinct from BuildErrorMessage (\"build.error.message\").\n3. ActivityNames: Rename WorkflowRun from \"workflow_invoke\" to \"workflow.run\"\n   for cross-language consistency.\n4. WorkflowTelemetryContext: Fix XML doc to say \"outer/parent span\" instead\n   of \"root-level span\".\n5. ObservabilityTests: Assert WorkflowSession absence when DisableWorkflowRun\n   is true.\n6. WorkflowRunActivityStopTests: Fix streaming test race by disposing\n   StreamingRun before asserting activities are stopped.\n7. StreamingRunEventStream/LockstepRunEventStream: Use Tags.ErrorMessage\n   instead of Tags.BuildErrorMessage for runtime error events."

* Review fixes: revert workflow_invoke rename, use 'using' for linkedSource, move SessionStarted earlier\n\n- Revert ActivityNames.WorkflowRun back to \"workflow_invoke\" (OTEL semantic convention contract)\n- Use 'using' declaration for linkedSource CTS in LockstepRunEventStream (no timing sensitivity)\n- Move SessionStarted event before WaitForInputAsync in StreamingRunEventStream to match Lockstep behavior"

* Improve naming and comments in WorkflowRunActivityStopTests"

* Prevent session Activity.Current leak in lockstep mode, add nesting test

Save and restore Activity.Current in LockstepRunEventStream.Start() so the
session activity doesn't leak into caller code via AsyncLocal. Re-establish
Activity.Current = sessionActivity before creating the run activity in
TakeEventStreamAsync to preserve parent-child nesting.

Add test verifying app activities after RunAsync are not parented under the
session, and that the workflow_invoke activity nests under the session."

* Fix stale XML doc: WorkflowRun -> WorkflowInvoke in ObservabilityTests

---------

Co-authored-by: alliscode <bentho@microsoft.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-25 19:42:45 +00:00
7d56a5a4d6 Update Python package versions to rc2 (#4258)
- Bump core and azure-ai to 1.0.0rc2
- Bump preview packages to 1.0.0b260225
- Update dependencies to >=1.0.0rc2
- Add CHANGELOG entries for changes since rc1
- Update uv.lock

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-25 19:37:44 +00:00
Peter IbekweandGitHub de9d886aba .NET: Support InvokeMcpTool for declarative workflows (#4204)
* Initial implementation of InvokeMcpTool in declarative workflow

* Cleaned up sample implementation

* Updated sample comments.

* Added missing executor routing attribute

* Fix PR comments.

* Updated based on PR comments.

* Updated based on PR comments.

* Removed unnecessary using statement.
2026-02-25 19:21:36 +00:00
Rishabh ChawlaandGitHub 2e26bb9387 [Purview] Mark responses as responses and fix epoch bug for python long overflow (#4225) 2026-02-25 18:40:36 +00:00
6138487888 Python: Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference (#4207)
* Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference

Add embedding client implementations to existing provider packages:

- OllamaEmbeddingClient: Text embeddings via Ollama's embed API
- BedrockEmbeddingClient: Text embeddings via Amazon Titan on Bedrock
- AzureAIInferenceEmbeddingClient: Text and image embeddings via Azure AI
  Inference, supporting Content | str input with separate model IDs for
  text (AZURE_AI_INFERENCE_EMBEDDING_MODEL_ID) and image
  (AZURE_AI_INFERENCE_IMAGE_EMBEDDING_MODEL_ID) endpoints

Additional changes:
- Rename EmbeddingCoT -> EmbeddingT, EmbeddingOptionsCoT -> EmbeddingOptionsT
- Add otel_provider_name passthrough to all embedding clients
- Register integration pytest marker in all packages
- Add lazy-loading namespace exports for Ollama and Bedrock embeddings
- Add image embedding sample using Cohere-embed-v3-english
- Add azure-ai-inference dependency to azure-ai package

Part of #1188

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix mypy duplicate name and ruff lint issues

- Rename second 'vector' variable to 'img_vector' in image embedding loop
- Combine nested with statements in tests
- Remove unused result assignments in tests

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updates from feedback

* Fix CI failures in embedding usage handling

- Fix Azure AI embedding mypy issues by normalizing vectors to list[float],
  safely accumulating optional usage token fields, and filtering None entries
  before constructing GeneratedEmbeddings
- Avoid Bandit false positive by initializing usage details as an empty dict
- Update OpenAI embedding tests to assert canonical usage keys
  (input_token_count/total_token_count)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-25 17:45:08 +00:00
e3a5b915a6 .NET: Add Microsoft Fabric sample #3674 (#4230)
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
2026-02-25 17:34:13 +00:00
84849a24ca Update .NET package version to rc2 (#4257)
- Bump RCNumber from 1 to 2
- Update GitTag to 1.0.0-rc2
- Update preview date stamps from 260219 to 260225

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-25 16:53:19 +00:00
Roger BarretoandGitHub 91675bde4f .NET: Add SharePoint sample #3674 (#4227) 2026-02-25 16:40:18 +00:00
westeyandGitHub 804dbb678b Add Additional Properties ADR (#4246)
* Add Additional Properties ADR

* Address PR comments
2026-02-25 14:47:52 +00:00
4dc35e9bb0 Python: Support Agent Skills (#4210)
* Python: Support Agent Skills

Add FileAgentSkillsProvider, a context provider that discovers and exposes
Agent Skills from filesystem directories following the Agent Skills
specification (https://agentskills.io/) progressive disclosure pattern:
advertise, load, read resources.

Changes:
- FileAgentSkillsProvider - discovers SKILL.md files from configured
  directories, advertises skills via system prompt injection, and provides
  load_skill / read_skill_resource tools for on-demand access.
- Internal helpers for skill discovery, frontmatter parsing, and secure
  resource reading (path traversal / symlink guards).
- Unit tests covering discovery, loading, resource reading, and security
  scenarios.
- Sample (basic_file_skills) demonstrating usage with an expense-report skill.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Move skills sample to samples/02-agents/basic_skills/

Align sample directory name with .NET equivalent (Agent_Step01_BasicSkills).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix code quality checks

* address pr review comment and code quality check issue

* address pr review comments

* move the sample to the skills folder

* update readme

* reame consts and use types for them

* leverage pathlib for working with files

* refactor the test

* supply schema to functions

* update readme

* update sample name

* address pr review comments

* fix failing lint check

* address failing check

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-25 13:02:26 +00:00
Korolev DmitryandGitHub 2ba7ee9ce5 .NET: Implement Task support for A2A Hosting package (#3732)
* implement task support?

* some metadata + session store impl

* address PR comments x1

* API reivew

* llast changes

* More test

* remove unsued import

* fix moq override

* refactoring

* ontaskupdated

* adjust to delegate

* fix encoding

* address PR comments: rework

* init 1

* renaming

* fix tests

* fix comment

* runmode rename

* rename

* rename

* use exxperimental api, allow experimental on project level

* throw on refereceTaskIds
2026-02-25 11:20:43 +00:00
4530504a3d Python: Azure AI Search provider improvements - EmbeddingGenerator, async context manager, KB message handling (#4212)
* small updates and improvements in the azure AISearch provider

* Fix mypy errors and embedding function test

- Use separate variable for embeddings result to avoid mypy type reassignment error
- Fix test_vectorized_query_with_embedding_function: use real async function
  instead of AsyncMock which falsely matches SupportsGetEmbeddings protocol

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fixes from feedback

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-25 06:47:26 +00:00
L. Elaine DazzioandGitHub 2ad0caf069 .NET: Fix JSON arrays of objects parsed as empty records when no schema is defined (#4199)
* fix: use HasSchema check in DetermineElementType to prevent empty records

When parsing JSON arrays containing objects without a predefined schema,
`DetermineElementType()` was creating a `VariableType` with an empty
(non-null) schema via `targetType.Schema?.Select(...) ?? []`. This caused
`ParseRecord` to take the schema-based parsing path, iterating over zero
schema fields and silently discarding all JSON properties.

The fix checks `targetType.HasSchema` and falls back to
`VariableType.RecordType` (which has `Schema = null`) when no schema is
defined, ensuring `ParseRecord` takes the dynamic `ParseValues()` path
that preserves all JSON properties.

Closes #4195

* test: add regression tests for schema-less JSON array-of-objects parsing (#4195)

Add two regression tests to JsonDocumentExtensionsTests:

1. ParseRecord_ObjectWithArrayOfObjects_NoSchema_PreservesNestedProperties
   - Parses a JSON object containing an array of objects using
     VariableType.RecordType (no schema) and verifies that nested
     object properties (name, role) are preserved in each element.
   - This is the exact scenario from issue #4195 where objects in
     arrays were being returned as empty dictionaries.

2. ParseList_ArrayOfObjects_NoSchema_PreservesProperties
   - Parses a JSON array of objects directly via ParseList with
     VariableType.ListType (no schema) and verifies all properties
     are preserved.

Both tests follow the existing Arrange/Act/Assert pattern and would
have failed before the DetermineElementType() fix (empty dictionaries
instead of populated ones).
2026-02-25 01:02:43 +00:00
23fe2c16b3 Python: Fixing issue #1366 - Thread corruption when max_iterations is reached. (#4234)
* Fix thread corruption when max_iterations exhausted (#1366)

When the function invocation loop exhausts max_iterations while the model
keeps requesting tools, the failsafe code path (calling the model with
tool_choice='none' and prepending fcc_messages) was unreachable because
'if response is not None: return response' short-circuited before it.

The fix removes the premature return so the failsafe always runs after
loop exhaustion, making a final model call with tool_choice='none' to
produce a clean text answer and prepending accumulated fcc_messages from
prior iterations. This matches the existing pattern used by the error
threshold and max_function_calls paths.

Also unskips test_max_iterations_limit and test_streaming_max_iterations_limit
which were previously skipped with 'needs investigation in unified API'.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add fix report for issue #1366

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix ruff formatting in _tools.py and test_issue_1366_thread_corruption.py

Apply ruff format to fix multi-line string concatenation and function call
formatting issues flagged by the linter.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add quality review for issue #1366 fix

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Remove temporary investigation docs.

* Address PR review: explicit enabled check in log condition, clarify mock behavior in test

- Add explicit function_invocation_configuration['enabled'] check to the
  'Maximum iterations reached' log condition in both non-streaming and
  streaming paths, making intent clearer when function invocation is disabled.
- Add comment in test_thread_safe_after_max_iterations_with_agent explaining
  that the failsafe response (tool_choice='none') is provided automatically
  by the mock client, not from run_responses.

* Blend fix and tests into project without issue-specific callouts

- Remove issue #1366 references from _tools.py comments
- Move regression tests from standalone test_issue_1366_thread_corruption.py
  into test_function_invocation_logic.py alongside existing max_iterations tests
- Clean up test docstrings to describe behavior generically
- Delete the standalone issue-specific test file

---------

Co-authored-by: alliscode <bentho@microsoft.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-25 00:58:34 +00:00
Evan MattsonandGitHub 40d2fac29c [BREAKING] Python: Add InvokeFunctionTool action for declarative workflows (#3716)
* add(declarative): Declarative workflow InvokeFunctionTool feature

* Cleanup

* Address PR feedback

* Remove InvokeTool kind, consolidate to InvokeFunctionTool

* Fix sample locations

* pin azure-ai-projects to 2.0.0b3 due to breaking changes
2026-02-24 22:54:35 +00:00
Tao ChenandGitHub f77f40b987 Python: Fix workflow runner concurrent processing (#4143)
* Fix workflow runner concurrent processing

* Comments 1

* Add test
2026-02-24 16:36:04 +00:00
9a7d93909d .NET: Add Foundry Agents Tool Sample - Bing Custom Search (#3701)
* .NET: Add Bing Custom Search sample #3674

* Apply format fixes

* .NET: Improve Bing Custom Search sample with dual MEAI/Native SDK options

- Add MEAI (Option 1) and Native SDK (Option 2) agent creation patterns
- Add DefaultAzureCredential with standard WARNING comment
- Add sample to solution file and FoundryAgents README index
- Improve README with connection ID/instance name guidance
- Fix missing newline at EOF in .csproj
- Suppress CS8321 for unused local function pattern

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review comments for Bing Custom Search sample

- Add Async suffix to CreateAgentWithMEAI and CreateAgentWithNativeSDK methods
- Clarify comment to reference ResponseTool instead of BingCustomSearchTool
- Update README Option 1 description to accurately reflect SDK usage

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-24 14:57:16 +00:00
westeyandGitHub 1086d1d183 Revert devcontainer bug workaround (#4206) 2026-02-24 12:07:44 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
ec6c5ad793 Bump esbuild and vite (#4178)
Bumps [esbuild](https://github.com/evanw/esbuild) to 0.27.3 and updates ancestor dependency [vite](https://github.com/vitejs/vite/tree/HEAD/packages/vite). These dependencies need to be updated together.


Updates `esbuild` from 0.21.5 to 0.27.3
- [Release notes](https://github.com/evanw/esbuild/releases)
- [Changelog](https://github.com/evanw/esbuild/blob/main/CHANGELOG-2024.md)
- [Commits](https://github.com/evanw/esbuild/compare/v0.21.5...v0.27.3)

Updates `vite` from 5.4.21 to 7.3.1
- [Release notes](https://github.com/vitejs/vite/releases)
- [Changelog](https://github.com/vitejs/vite/blob/main/packages/vite/CHANGELOG.md)
- [Commits](https://github.com/vitejs/vite/commits/v7.3.1/packages/vite)

---
updated-dependencies:
- dependency-name: esbuild
  dependency-version: 0.27.3
  dependency-type: indirect
- dependency-name: vite
  dependency-version: 7.3.1
  dependency-type: direct:development
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-02-24 10:10:29 +00:00
Vincent KocandGitHub f126f91a7c Python: docs(observability): add Comet Opik setup example (#3940)
* docs(observability): add Comet Opik setup example

* Update README.md
2026-02-24 09:59:16 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
c8c2219a87 Bump werkzeug from 3.1.5 to 3.1.6 in /python (#4125)
Bumps [werkzeug](https://github.com/pallets/werkzeug) from 3.1.5 to 3.1.6.
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/werkzeug/compare/3.1.5...3.1.6)

---
updated-dependencies:
- dependency-name: werkzeug
  dependency-version: 3.1.6
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-02-24 09:56:36 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
3da3e98264 Bump ruff from 0.15.1 to 0.15.2 in /python (#4182)
Bumps [ruff](https://github.com/astral-sh/ruff) from 0.15.1 to 0.15.2.
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/ruff/compare/0.15.1...0.15.2)

---
updated-dependencies:
- dependency-name: ruff
  dependency-version: 0.15.2
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-02-24 09:53:18 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
acff8f38dd Bump poethepoet from 0.41.0 to 0.42.0 in /python (#4183)
Bumps [poethepoet](https://github.com/nat-n/poethepoet) from 0.41.0 to 0.42.0.
- [Release notes](https://github.com/nat-n/poethepoet/releases)
- [Commits](https://github.com/nat-n/poethepoet/compare/v0.41.0...v0.42.0)

---
updated-dependencies:
- dependency-name: poethepoet
  dependency-version: 0.42.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-02-24 09:52:14 +00:00
L. Elaine DazzioandGitHub f78fa27215 Python: Fix doubled tool_call arguments in MESSAGES_SNAPSHOT when streaming (#4200)
* fix: prevent doubled tool_call arguments in MESSAGES_SNAPSHOT

When streaming with client-side tools, some providers send a full-
arguments replay after the streaming deltas complete. The `_emit_tool_call`
function unconditionally appends every arguments delta to the internal
`flow.tool_calls_by_id` tracking dictionary via `+=`. When the replay
contains the exact same complete arguments string that was already
accumulated from prior deltas, the arguments get doubled (e.g.,
`{"todoText":"buy groceries"}{"todoText":"buy groceries"}`).

This causes `MESSAGES_SNAPSHOT` events to contain invalid doubled JSON in
`tool_calls[].function.arguments`, breaking any client or middleware that
relies on snapshots for state reconstruction.

The fix adds a guard (mirroring the existing duplicate guard in
`_emit_text`) that detects when the incoming delta exactly equals the
already-accumulated arguments string, indicating a full-arguments replay
rather than an incremental delta. In this case the append is skipped,
preventing the doubling.

The `ToolCallArgsEvent` deltas are still emitted correctly for real-time
streaming — only the internal snapshot accumulator is guarded.

Fixes #4194

* fix: move duplicate check before event emission + add test

Address Copilot review feedback:
1. Move duplicate full-arguments replay detection BEFORE emitting
   ToolCallArgsEvent, for consistency with _emit_text() which returns
   early without emitting any events on replay detection.
2. Add test_emit_tool_call_skips_duplicate_full_arguments_replay() to
   verify the duplicate detection behavior for tool call arguments,
   matching the existing test pattern for text content.
2026-02-24 09:49:24 +00:00
acc49196c1 Python: updated integration tests and guidance (#4181)
* updated integration tests and guidance

* fixed merge test

* updated integration tests

* fix: remove duplicate --dist loadfile flag from pytest-xdist config

Only one --dist mode can be active at a time; the second value silently
overrides the first. Keep --dist worksteal (dynamic load balancing) and
remove the redundant --dist loadfile from all workflow files and
pyproject.toml configs.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* docs: add keep-in-sync notes for merge and integration test workflows

Both python-merge-tests.yml and python-integration-tests.yml share the
same parallel job structure. Added sync reminders in workflow file
comments, the python-testing SKILL.md, and CODING_STANDARD.md.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refactor: remove RUN_INTEGRATION_TESTS flag

Integration test gating now uses two mechanisms:
- `@pytest.mark.integration` for test selection via `-m` filtering
- `skip_if_*_disabled` for credential/service availability checks

The RUN_INTEGRATION_TESTS env var was redundant since the marker handles
selection and the skip decorators already check for actual credentials.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: sync missing env vars from merge-tests to integration-tests

Add OPENAI_EMBEDDINGS_MODEL_ID and AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME
to python-integration-tests.yml to match python-merge-tests.yml.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: remove remaining RUN_INTEGRATION_TESTS from embedding tests and docs

Missed test_openai_embedding_client.py and vector-stores README in the
earlier cleanup.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* set functions tests to 3.10

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-24 09:35:46 +00:00
6305e3e092 Python: feat(python): Add embedding abstractions and OpenAI implementation (Phase 1) (#4153)
* feat(python): Add embedding abstractions and OpenAI implementation (Phase 1)

This PR contains two parts:

1. **Overall migration plan** for porting vector stores and embeddings from
   Semantic Kernel to Agent Framework (docs/features/vector-stores-and-embeddings/README.md)
   covering all 10 phases from core abstractions through connectors and TextSearch.

2. **Phase 1 implementation** — core embedding abstractions and OpenAI/Azure OpenAI
   embedding clients:

   Core types (_types.py):
   - EmbeddingGenerationOptions TypedDict (total=False)
   - Embedding[EmbeddingT] generic class with model_id, dimensions, created_at
   - GeneratedEmbeddings[EmbeddingT, EmbeddingOptionsT] list container with options, usage
   - EmbeddingInputT (default str) and EmbeddingT (default list[float]) TypeVars

   Protocol + base class (_clients.py):
   - SupportsGetEmbeddings protocol — Generic[EmbeddingInputT, EmbeddingT, OptionsContraT]
   - BaseEmbeddingClient ABC — Generic[EmbeddingInputT, EmbeddingT, OptionsCoT]

   Telemetry (observability.py):
   - EmbeddingTelemetryLayer with gen_ai.operation.name = "embeddings"

   OpenAI implementation (openai/_embedding_client.py):
   - RawOpenAIEmbeddingClient, OpenAIEmbeddingClient, OpenAIEmbeddingOptions
   - Uses _ensure_client() factory pattern

   Azure OpenAI implementation (azure/_embedding_client.py):
   - AzureOpenAIEmbeddingClient following AzureOpenAIChatClient pattern
   - Supports API key, Entra ID credentials, env var configuration

   Tests:
   - 47 unit tests for types, protocol, base class, OpenAI, and Azure clients
   - 6 integration tests (gated behind RUN_INTEGRATION_TESTS + credentials)

   Samples:
   - samples/02-agents/embeddings/openai_embeddings.py
   - samples/02-agents/embeddings/azure_openai_embeddings.py

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: Add AzureOpenAIEmbeddingClient to azure __init__.pyi stub

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* ci: Add embedding env vars to Python integration tests

Map OPENAI_EMBEDDING_MODEL_ID and AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME
from GitHub vars to the integration test environment.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: Handle base64 encoding_format in OpenAI embedding client

When encoding_format='base64' is used, the OpenAI API returns base64-encoded
floats instead of a JSON array. Decode these automatically to list[float]
so the return type stays consistent regardless of encoding format.

Also adds a unit test for base64 decoding and fixes minor docstring/import issues.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: Only record INPUT_TOKENS for embedding telemetry

Embeddings have no output/completion tokens. Remove OUTPUT_TOKENS recording
which was double-counting prompt_tokens via the total_tokens fallback.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: Resolve mypy variance error and lint warning

Use contravariant/covariant TypeVars for SupportsGetEmbeddings Protocol.
Combine nested if into single statement in telemetry layer.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: Make EmbeddingCoT invariant for mypy compatibility

GeneratedEmbeddings is invariant in its type param, so the Protocol
TypeVar cannot be covariant.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: Address PR review - empty values guard, service_url for telemetry

- Add early return for empty values in get_embeddings to avoid unnecessary API calls
- Add service_url() method to RawOpenAIEmbeddingClient for proper telemetry endpoint reporting
- Add test for empty values behavior

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix OpenAI chat client compatibility with third-party endpoints and OTel 0.4.14 (#4161)

* Fix system message content sent as list instead of string

Some OpenAI-compatible endpoints (e.g. NVIDIA NIM) reject system messages
when content is a list of content parts. This change flattens system and
developer message content to a plain string in the Chat Completions client.

Fixes https://github.com/microsoft/agent-framework/issues/1407

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix compatibility with opentelemetry-semantic-conventions-ai 0.4.14

Version 0.4.14 removed several LLM_* attributes from SpanAttributes
(LLM_SYSTEM, LLM_REQUEST_MODEL, LLM_RESPONSE_MODEL, LLM_REQUEST_MAX_TOKENS,
LLM_REQUEST_TEMPERATURE, LLM_REQUEST_TOP_P, LLM_TOKEN_TYPE).

Move these to the OtelAttr enum with their well-known gen_ai.* string values
and update all references in observability.py and tests.

Fixes https://github.com/microsoft/agent-framework/issues/4160

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Flatten text-only message content to string for all roles

Extend the system/developer fix to all message roles. Text-only content
lists are now post-processed into plain strings, while multimodal content
(text + images/audio) remains as a list. This fixes compatibility with
OpenAI-like endpoints that cannot deserialize list content (e.g. Foundry
Local's Neutron backend).

Partially fixes https://github.com/microsoft/agent-framework/issues/4084

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix streaming text lost when usage data in same chunk

Some providers (e.g. Gemini) include both usage data and text content
in the same streaming chunk. The early return on chunk.usage caused
text and tool call parsing to be skipped entirely. Remove the early
return and process usage alongside text/tool calls.

Fixes https://github.com/microsoft/agent-framework/issues/3434

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix mypy errors in _chat_client.py

Rename shadowed variable 'args' in system/developer branch to 'sys_args'
and rename loop variable 'content' to 'msg_content' to avoid type conflict.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* reorder imports

* fix: Use OtelAttr.REQUEST_MODEL instead of removed SpanAttributes.LLM_REQUEST_MODEL

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* docs: Add score_threshold to vector store plan

Reference SK .NET PR #13501 for score threshold filtering semantics.
Include score_threshold in SearchOptions from Phase 3.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* docs: Add reference to roji's SK .NET MEVD work for SQL connectors

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: Clear env vars in construction tests to avoid CI leakage

Tests for missing API key / model ID now use monkeypatch.delenv to ensure
env vars from the integration test environment don't prevent the expected
ValueError from being raised.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-24 07:40:20 +00:00
CopilotGitHubCopilotcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>eavanvalkenburgeavanvalkenburg
7b24d9160d Python: Add Foundry Memory Context Provider (#3943)
* Initial plan

* Add FoundryMemoryProvider and tests

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Add sample and documentation for FoundryMemoryProvider

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Address code review feedback for FoundryMemoryProvider

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Address PR review comments: Add DEFAULT_SOURCE_ID, use logging.getLogger, move state to session.state

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Fix Foundry memory ItemParam usage and exports

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Refactor provider hook state and standardize source IDs

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Support endpoint-based Foundry memory init

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated implementation and sample

* updated code and samples

* Fix foundry memory provider tests: mock structure and field names

- Use Mock objects with memory_item.content for memory mocks
- Assert 'content' instead of 'text' on SDK message items
- Update exception types from ServiceInitializationError to ValueError
- Remove unused ServiceInitializationError import

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix mypy errors in foundry memory provider

Add type: ignore[arg-type] for scope (str | None vs str) and items
(list variance) passed to Azure SDK methods.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix import

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>
Co-authored-by: eavanvalkenburg <github@vanvalkenburg.eu>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-24 06:05:53 +00:00
de612c47f5 Python: Add CreateConversationExecutor, fix input routing, remove unused handler layer (#4159)
* Fixed declarative deep research sample

* Small fix

* Resolved comment

* Add CreateConversationExecutor, fix input routing, remove unused handler layer

* Address Copilot feedback

* Fix System.ConversationId

---------

Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
2026-02-24 01:59:39 +00:00
bb4fe48c9a Python: Enhance Azure AI Search Citations with Document URLs in Foundry V2 (#4028)
* Python: Enhance Azure AI Search citations with document URLs in Foundry V2 (Responses API)

Override _parse_response_from_openai and _parse_chunk_from_openai in
RawAzureAIClient to extract get_urls from azure_ai_search_call_output
items and enrich url_citation annotations with document-specific URLs.

- Non-streaming: first pass collects get_urls, post-processes annotations
- Streaming: captures search output state, enriches url_citation events
  (also handles url_citation annotation type not handled by base class)
- Updated V2 sample to demonstrate citation URL extraction
- Added 14 unit tests covering extraction, enrichment, and edge cases

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refactor: rework search citation enrichment to override _inner_get_response

- Remove all direct openai/pydantic imports from _client.py
- Override _inner_get_response instead of _parse_response_from_openai/_parse_chunk_from_openai
- Use closure-local state for streaming instead of instance-level _streaming_search_get_urls
- Add _build_url_citation_content helper for streaming url_citation handling
- Fix mypy errors by using str(value or '') for Annotation TypedDict fields
- Fix docstring to say 'citation' instead of 'url_citation'
- Update tests to match new approach

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: handle streaming search citations from output_item.done events

The azure_ai_search_call_output item only has populated output data
(including get_urls) in the response.output_item.done event, not in
the response.output_item.added event. Also removed the search_get_urls
guard on url_citation handling so annotations are always produced even
if get_urls haven't been captured yet.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* addressed comments

* refactor: address PR review - eliminate type: ignore[assignment] pattern

Call super()._inner_get_response() independently in each branch instead
of once at the top with union type reassignment. Non-streaming uses
two-arg super() in the closure; streaming uses cast() for type narrowing.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refactor: remove defensive patterns per PR review

- Replace all getattr() with direct attribute access
- Remove cast() for streaming branch, use type: ignore[assignment]
- Simplify _build_url_citation_content to use dict access directly
- Simplify _extract_azure_search_urls to use item.type/item.output
- Handle empty list output from streaming 'added' events
- Update tests to match actual runtime types (objects, not dicts)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* mypy fix

* small fixes

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-24 01:21:33 +00:00
Tao ChenandGitHub b7efaae709 Python: Automate sample validation (#4193)
* Automate sample validation: part 1

* Automate sample validation: part 2

* Create GH workflow

* comments

* Fix mypy
2026-02-24 01:08:16 +00:00
55398e21df Python: Add max_function_calls to FunctionInvocationConfiguration (#2329) (#4175)
* Add max_function_calls to FunctionInvocationConfiguration (#2329)

Add a new per-request max_function_calls setting to FunctionInvocationConfiguration
that limits the total number of individual function invocations across all iterations
within a single get_response call. This complements max_iterations (which limits LLM
roundtrips) by providing a hard cap on actual tool executions regardless of parallelism.

- Add max_function_calls field to FunctionInvocationConfiguration (default: None/unlimited)
- Track cumulative function call count in both streaming and non-streaming tool loops
- Force tool_choice='none' when the limit is reached
- Add validation in normalize_function_invocation_configuration
- Improve docstrings for FunctionInvocationConfiguration, FunctionTool, and @tool
  to clarify semantics of max_iterations vs max_function_calls vs max_invocations
- Add tests for parallel calls, single calls, unlimited mode, and config validation

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add sample for controlling total tool executions

Showcases all three mechanisms for limiting tool executions:
1. max_iterations — caps LLM roundtrips
2. max_function_calls — caps total individual function invocations per request
3. max_invocations — lifetime cap on a specific tool instance
Plus a combined scenario demonstrating defense in depth.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Suppress ruff E305/fmt in hosting sample to preserve XML doc tags

The XML snippet tags (# <create_agent> / # </create_agent>) are used for
docs extraction and must stay adjacent to the code they wrap. Both ruff
check (E305) and ruff format add blank lines after the function definition,
pushing the closing tag away. Suppress with ruff: noqa: E305 and fmt: off.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add per-agent tool wrapping scenario to control_total_tool_executions sample

Show that wrapping the same callable with @tool multiple times creates
independent FunctionTool instances with separate invocation counters,
enabling per-agent max_invocations budgets for shared functions.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Clarify max_function_calls is a best-effort limit

The limit is checked after each batch of parallel calls completes, so the
current batch always runs to completion even if it overshoots the limit.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review: fix docstring reference, clarify best-effort in sample

- Fix malformed Sphinx :attr: role in FunctionTool docstring — use plain
  backtick reference instead
- Update sample to say 'best-effort cap' instead of 'hard cap' for
  max_function_calls, noting it's checked between iterations
- Parametrize pattern is correct (fixture override, matching existing tests)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* clarify max_invocations limits

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-24 01:00:25 +00:00
11628c3166 Python: Fix structured_output propagation in ClaudeAgent (#4137)
* Fix structured_output propagation in ClaudeAgent

Capture structured_output from ResultMessage in _get_stream() and
propagate it to AgentResponse.value via a custom finalizer. Previously
structured_output was silently discarded, making output_format unusable.

Fixes #4095

* Address review feedback: use value parameter instead of private properties

- Extend AgentResponse.from_updates() to accept optional value parameter
- Remove structured_output yield from _get_stream()
- Update _finalize_response() to pass value via public API
- Update streaming test to use get_final_response()

* Fix mypy errors: add value parameter to from_updates overloads

Add value parameter to both @overload signatures of
AgentResponse.from_updates() so mypy recognizes the argument.

---------

Co-authored-by: Amit Mukherjee <amimukherjee@microsoft.com>
Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
2026-02-23 18:45:02 +00:00
CopilotGitHubmarkwallace-microsoftwestey-mcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
69eabcd1fc .NET: Fix case-sensitive property mismatch in CosmosChatHistoryProvider queries (#3485)
* Initial plan

* Fix case-sensitivity bug in Cosmos queries and add tests

Co-authored-by: markwallace-microsoft <127216156+markwallace-microsoft@users.noreply.github.com>

* Fix style issues and update tests for new API

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: markwallace-microsoft <127216156+markwallace-microsoft@users.noreply.github.com>
Co-authored-by: westey <164392973+westey-m@users.noreply.github.com>
2026-02-23 18:27:21 +00:00
8b69c2ea12 .NET: Add Foundry Agents Tool Sample - Web Search (#4040)
* .NET: Add Web Search sample #3674

* .NET: Fix WebSearch sample to use Responses API built-in web search

Remove incorrect Bing Grounding connection ID requirement from the
WebSearch sample. The web search tool uses the OpenAI Responses API
built-in capability and does not need a connection ID.

- Remove AZURE_FOUNDRY_BING_CONNECTION_ID env var requirement
- Use HostedWebSearchTool() without connectionId properties
- Refactor creation options into local functions (MEAI + NativeSDK)
- Switch from AzureCliCredential to DefaultAzureCredential
- Update README to reflect correct prerequisites

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix README to align DefaultAzureCredential docs with code

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review: add project to solution, README, simplify response text

- Add FoundryAgents_Step25_WebSearch to agent-framework-dotnet.slnx
- Add web search sample entry to parent FoundryAgents README.md
- Simplify text response extraction to use response.Text directly

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix merge conflict in slnx solution file

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-23 17:15:02 +00:00
CopilotGitHubcrickmancopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
66dbef3e51 Make Cosmos DB tests read COSMOSDB_ENDPOINT and COSMOSDB_KEY from environment variables (#4156)
* Initial plan

* Make Cosmos DB tests read COSMOSDB_ENDPOINT and COSMOSDB_KEY from environment variables

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* Rename EmulatorEndpoint/EmulatorKey static fields to use s_ prefix convention

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
2026-02-23 16:44:31 +00:00
892c177e93 .NET: Fix FunctionInvocationDelegatingAgent to preserve all AgentRunOptions properties (#4179)
When converting base AgentRunOptions to ChatClientAgentRunOptions, the middleware
now preserves AllowBackgroundResponses, ContinuationToken, and AdditionalProperties
in addition to ResponseFormat.

Added unit test verifying all properties are preserved during the conversion.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-23 16:37:43 +00:00
Dmytro StrukandGitHub ba454552c5 Updated GitHub action for manual integration tests (#4147)
* Updated merge test permissions

* Removed repo check

* Added fetch from main for comparison

* Updated path detection logic

* Small updates

* Reverted file rename

* Created dedicated workflows for integration tests

* Small fix for Python

* Small fixes

* Small update

* Small update

* Added tests check for Python
2026-02-23 15:37:06 +00:00
westeyandGitHub e45e58108b .NET: [BREAKING] Add ChatClient decorator for calling AIContextProviders (#4097)
* Add ChatClient decorator for calling AIContextProviders

* Format new files

* Address PR comments

* Revert problematic change

* Rename Use to UseAIContextProvider
2026-02-23 15:06:21 +00:00
6e4562e354 .NET: Add Foundry Agents Tool Sample - Memory Search (#3700)
* .NET: Add Memory Search sample #3674

* Apply format fixes

* Add MemorySearch sample to solution, FoundryAgents and AgentWithMemory READMEs

- Add FoundryAgents_Step26_MemorySearch.csproj to agent-framework-dotnet.slnx
- Add Memory Search entry to FoundryAgents/README.md samples table
- Add cross-reference from AgentWithMemory/README.md to MemorySearch sample

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-23 14:54:05 +00:00
westeyandGitHub 060d8fcadd .NET: Simplify store=false scenario for responses (#4124)
* Simplify store=false scenario for responses

* Mark AsIChatClientWithStoredOutputDisabled as Experimental
2026-02-23 12:24:32 +00:00
d8b9409e96 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>
2026-02-23 11:59:56 +00:00
b1c7c7c844 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>
2026-02-23 10:05:36 +00:00
Dmytro StrukandGitHub 75ff4f486f Added new GitHub action for manual integration test run based on PR (#4135)
* Added new GitHub action for manual integration test run based on PR

* Addressed comments

* Added branch name as input

* Small improvements
2026-02-20 21:33:22 +00:00
7ba636d642 .NET: Support Agent Skills (#4122)
* support agent skills

* make the new agent skill provider experimental

* Fix file encoding: add UTF-8 BOM to .cs files

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix final newline and simplify new expressions

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix broken links in Agent Skills sample README

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add null check for skillPaths parameter

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Normalize references

* normilize skill path

* address comments regarding symlink check

* address comments

* fix failing test + regex improvements

* small optimizations and improvments

* address pr review comments

* Update dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs

Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>

* address pr review comments

* address pr review comments

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
2026-02-20 21:05:56 +00:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
44aec2009f Bump flask from 3.1.2 to 3.1.3 in /python (#4126)
Bumps [flask](https://github.com/pallets/flask) from 3.1.2 to 3.1.3.
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/flask/compare/3.1.2...3.1.3)

---
updated-dependencies:
- dependency-name: flask
  dependency-version: 3.1.3
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-02-20 19:32:25 +00:00
CopilotGitHubwestey-mcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
06c6ec052e .NET: Fix failing vision integration tests by using local test files (#4128)
* Initial plan

* Fix failing vision integration tests by using local test files

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Fix net472 build error: replace File.ReadAllBytesAsync with compatible helper using AppContext.BaseDirectory

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Simplify ReadLocalFile: return byte[] directly instead of Task<byte[]>

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>
2026-02-20 15:15:26 +00:00
b3ac4777ba Replace inline string literals with constants in ChatHistoryMemoryProvider (#4096)
Extract 11 private const string fields for vector store property names
(Key, Role, MessageId, AuthorName, ApplicationId, AgentId, UserId,
SessionId, Content, CreatedAt, ContentEmbedding) and replace all inline
usages across the collection definition, store dictionary, search result
access, and filter expressions.

Fixes #3801

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-20 12:00:21 +00:00
0e2fcb1c7f .NET: Add Foundry Memory Context Provider (#3522)
* Add Azure AI Foundry Memory Context Provider with unit tests

* Add FoundryMemory integration tests and sample application

* Fix ClearStoredMemoriesAsync to handle 404 gracefully and rename to EnsureStoredMemoriesDeletedAsync

* Refactor FoundryMemory: simplify architecture and add memory store creation

- Remove IFoundryMemoryOperations interface (was only for test mocking)
- Remove AIProjectClientMemoryOperations wrapper class
- Provider now directly uses AIProjectClient with internal extension methods
- Extension methods return actual response models instead of extracted values
- Remove WaitForUpdateCompletionAsync from provider (sample uses delay)
- Simplify EnsureMemoryStoreCreatedAsync to return Task instead of Task<bool>
- Add memory store creation with chat_model and embedding_model
- Add UpdateMemoriesResponse with SupersededBy and Error fields
- Simplify unit tests to focus on constructor validation and serialization
- Update sample to use simple delay for memory processing wait

* Add waiting operation for memory store updates

* Fix UTF-8 BOM encoding for FoundryMemory csproj files

* Update copilot instructions for UTF-8 BOM and fix sample API rename

* Fix UTF-8 BOM encoding for TestableAIProjectClient.cs

* Add missing response headers for TS

* Changing default embedding

* Using the SDK Models

* Program update

* Remove debugging code from sample

* Adapt FoundryMemoryProvider to new AIContextProvider API and add UTF-8 BOM instruction

- Override ProvideAIContextAsync/StoreAIContextAsync instead of removed virtual InvokingAsync/InvokedAsync
- Use ProviderSessionState<State> for session-scoped state management (matching Mem0Provider pattern)
- Replace constructor-based scope with stateInitializer delegate
- Remove Serialize method (no longer on base class)
- Add SearchInputMessageFilter, StorageInputMessageFilter, StateKey to options
- Update sample to use AIContextProviders list instead of AIContextProviderFactory
- Update unit and integration tests for new API
- Add UTF-8 BOM encoding and --tl:off instructions to dotnet/AGENTS.md

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Use DefaultAzureCredential in Foundry Memory sample

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review comments for FoundryMemoryProvider

- Move memoryStoreName from options to required constructor parameter
- Make FoundryMemoryProviderScope require non-null/whitespace scope in constructor
- Make Scope property read-only (getter only)
- Replace ConcurrentQueue with single last update ID to fix memory leak
- Only clear pending update ID after successful completion
- Add delete success logging
- Mark FoundryMemoryProvider with [Experimental] attribute
- Update unit tests for new API signatures

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Use Throw.IfNullOrWhitespace for scope and memoryStoreName validation

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-20 11:25:06 +00:00
1254 changed files with 51975 additions and 8267 deletions
+1 -5
View File
@@ -1,10 +1,6 @@
{
"name": "C# (.NET)",
//"image": "mcr.microsoft.com/devcontainers/dotnet",
// Workaround for https://github.com/devcontainers/images/issues/1752
"build": {
"dockerfile": "dotnet.Dockerfile"
},
"image": "mcr.microsoft.com/devcontainers/dotnet",
"features": {
"ghcr.io/devcontainers/features/azure-cli:1.2.9": {},
"ghcr.io/devcontainers/features/github-cli:1": {
-5
View File
@@ -1,5 +0,0 @@
FROM mcr.microsoft.com/devcontainers/universal:latest
# Remove Yarn repository with expired GPG key to prevent apt-get update failures
# Tracking issue: https://github.com/devcontainers/images/issues/1752
RUN rm -f /etc/apt/sources.list.d/yarn.list
@@ -0,0 +1,48 @@
name: Sample Validation Setup
description: Sets up the environment for sample validation (checkout, Node.js, Copilot CLI, Azure login, Python)
inputs:
azure-client-id:
description: Azure Client ID for OIDC login
required: true
azure-tenant-id:
description: Azure Tenant ID for OIDC login
required: true
azure-subscription-id:
description: Azure Subscription ID for OIDC login
required: true
python-version:
description: The Python version to set up
required: false
default: "3.12"
os:
description: The operating system to set up
required: false
default: "Linux"
runs:
using: "composite"
steps:
- name: Set up Node.js environment
uses: actions/setup-node@v4
- name: Install Copilot CLI
shell: bash
run: npm install -g @github/copilot
- name: Test Copilot CLI
shell: bash
run: copilot -p "What can you do in one sentence?"
- name: Azure CLI Login
uses: azure/login@v2
with:
client-id: ${{ inputs.azure-client-id }}
tenant-id: ${{ inputs.azure-tenant-id }}
subscription-id: ${{ inputs.azure-subscription-id }}
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: ${{ inputs.python-version }}
os: ${{ inputs.os }}
+1 -1
View File
@@ -23,7 +23,7 @@ workflows:
- any-glob-to-any-file:
- dotnet/src/Microsoft.Agents.AI.Workflows/**
- dotnet/src/Microsoft.Agents.AI.Workflows.Declarative/**
- dotnet/samples/GettingStarted/Workflow/**
- dotnet/samples/03-workflows/**
- python/packages/main/agent_framework/_workflow/**
- python/samples/getting_started/workflow/**
+10 -13
View File
@@ -92,7 +92,7 @@ jobs:
Write-Host "Launching Azure Cosmos DB Emulator"
Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
echo "COSMOSDB_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
- name: Setup dotnet
uses: actions/setup-dotnet@v5.1.0
@@ -205,20 +205,17 @@ jobs:
COSMOSDB_ENDPOINT: https://localhost:8081
COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
# OpenAI Models
OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_CHAT_MODEL_NAME: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
OPENAI_REASONING_MODEL_NAME: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
# Azure OpenAI Models
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZURE_OPENAI_ENDPOINT }}
# Azure AI Foundry
AzureAI__Endpoint: ${{ secrets.AZUREAI__ENDPOINT }}
AzureAI__DeploymentName: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
AzureAI__BingConnectionId: ${{ vars.AZUREAI__BINGCONECTIONID }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MEDIA_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MEDIA_DEPLOYMENT_NAME }}
FOUNDRY_MODEL_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MODEL_DEPLOYMENT_NAME }}
FOUNDRY_CONNECTION_GROUNDING_TOOL: ${{ vars.FOUNDRY_CONNECTION_GROUNDING_TOOL }}
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
# Generate test reports and check coverage
- name: Generate test reports
@@ -0,0 +1,102 @@
#
# Dedicated .NET integration tests workflow, called from the manual integration test orchestrator.
# Only runs integration test matrix entries (net10.0 and net472).
#
name: dotnet-integration-tests
on:
workflow_call:
inputs:
checkout-ref:
description: "Git ref to checkout (e.g., refs/pull/123/head)"
required: true
type: string
permissions:
contents: read
id-token: write
jobs:
dotnet-integration-tests:
strategy:
fail-fast: false
matrix:
include:
- { targetFramework: "net10.0", os: "ubuntu-latest", configuration: Release }
- { targetFramework: "net472", os: "windows-latest", configuration: Release }
runs-on: ${{ matrix.os }}
environment: integration
timeout-minutes: 60
steps:
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
sparse-checkout: |
.
.github
dotnet
python
workflow-samples
- name: Start Azure Cosmos DB Emulator
if: runner.os == 'Windows'
shell: pwsh
run: |
Write-Host "Launching Azure Cosmos DB Emulator"
Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
- name: Setup dotnet
uses: actions/setup-dotnet@v5.1.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
- name: Build dotnet solutions
shell: bash
run: |
export SOLUTIONS=$(find ./dotnet/ -type f -name "*.slnx" | tr '\n' ' ')
for solution in $SOLUTIONS; do
dotnet build $solution -c ${{ matrix.configuration }} --warnaserror
done
- name: Azure CLI Login
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Set up Durable Task and Azure Functions Integration Test Emulators
if: matrix.os == 'ubuntu-latest'
uses: ./.github/actions/azure-functions-integration-setup
- name: Run Integration Tests
shell: bash
run: |
export INTEGRATION_TEST_PROJECTS=$(find ./dotnet -type f -name "*IntegrationTests.csproj" | tr '\n' ' ')
for project in $INTEGRATION_TEST_PROJECTS; do
target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --filter "Category!=IntegrationDisabled"
else
echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
fi
done
env:
COSMOSDB_ENDPOINT: https://localhost:8081
COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AzureAI__Endpoint: ${{ secrets.AZUREAI__ENDPOINT }}
AzureAI__DeploymentName: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
AzureAI__BingConnectionId: ${{ vars.AZUREAI__BINGCONECTIONID }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MEDIA_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MEDIA_DEPLOYMENT_NAME }}
FOUNDRY_MODEL_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MODEL_DEPLOYMENT_NAME }}
FOUNDRY_CONNECTION_GROUNDING_TOOL: ${{ vars.FOUNDRY_CONNECTION_GROUNDING_TOOL }}
@@ -0,0 +1,134 @@
#
# This workflow allows manually running integration tests against an open PR or a branch.
# Go to Actions → "Integration Tests (Manual)" → Run workflow → enter a PR number or branch name.
#
# It calls dedicated integration-only workflows (dotnet-integration-tests and python-integration-tests),
# passing a ref so they check out and test the correct code.
# Changed paths are detected here so only the relevant test suites run.
#
name: Integration Tests (Manual)
on:
workflow_dispatch:
inputs:
pr-number:
description: "PR number to run integration tests against (leave empty if using branch)"
required: false
type: string
default: ""
branch:
description: "Branch name to run integration tests against (leave empty if using PR number)"
required: false
type: string
default: ""
permissions:
contents: read
pull-requests: read
id-token: write
concurrency:
group: integration-tests-manual-${{ github.event.inputs.pr-number || github.event.inputs.branch }}
cancel-in-progress: true
jobs:
resolve-ref:
name: Resolve ref
runs-on: ubuntu-latest
outputs:
checkout-ref: ${{ steps.resolve.outputs.checkout-ref }}
dotnet-changes: ${{ steps.detect-changes.outputs.dotnet }}
python-changes: ${{ steps.detect-changes.outputs.python }}
steps:
- name: Resolve checkout ref
id: resolve
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.inputs.pr-number }}
BRANCH: ${{ github.event.inputs.branch }}
REPO: ${{ github.repository }}
run: |
if [ -n "$PR_NUMBER" ] && [ -n "$BRANCH" ]; then
echo "::error::Please provide either a PR number or a branch name, not both."
exit 1
fi
if [ -z "$PR_NUMBER" ] && [ -z "$BRANCH" ]; then
echo "::error::Please provide either a PR number or a branch name."
exit 1
fi
if [ -n "$PR_NUMBER" ]; then
if ! echo "$PR_NUMBER" | grep -Eq '^[0-9]+$'; then
echo "::error::Invalid PR number. Only numeric values are allowed."
exit 1
fi
PR_DATA=$(gh pr view "$PR_NUMBER" --repo "$REPO" --json state)
PR_STATE=$(echo "$PR_DATA" | jq -r '.state')
if [ "$PR_STATE" != "OPEN" ]; then
echo "::error::PR #$PR_NUMBER is not open (state: $PR_STATE)"
exit 1
fi
echo "checkout-ref=refs/pull/$PR_NUMBER/head" >> "$GITHUB_OUTPUT"
echo "Running integration tests for PR #$PR_NUMBER"
else
if ! echo "$BRANCH" | grep -Eq '^[a-zA-Z0-9_./-]+$'; then
echo "::error::Invalid branch name. Only alphanumeric characters, hyphens, underscores, dots, and slashes are allowed."
exit 1
fi
echo "checkout-ref=$BRANCH" >> "$GITHUB_OUTPUT"
echo "Running integration tests for branch $BRANCH"
fi
- name: Detect changed paths
id: detect-changes
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.inputs.pr-number }}
BRANCH: ${{ github.event.inputs.branch }}
REPO: ${{ github.repository }}
run: |
if [ -n "$PR_NUMBER" ]; then
CHANGED_FILES=$(gh pr diff "$PR_NUMBER" --repo "$REPO" --name-only)
else
# For branches, compare against main using the GitHub API
CHANGED_FILES=$(gh api "repos/$REPO/compare/main...$BRANCH" --jq '.files[].filename')
fi
DOTNET_CHANGES=false
PYTHON_CHANGES=false
if echo "$CHANGED_FILES" | grep -q '^dotnet/'; then
DOTNET_CHANGES=true
fi
if echo "$CHANGED_FILES" | grep -q '^python/'; then
PYTHON_CHANGES=true
fi
echo "dotnet=$DOTNET_CHANGES" >> "$GITHUB_OUTPUT"
echo "python=$PYTHON_CHANGES" >> "$GITHUB_OUTPUT"
echo "Detected changes — dotnet: $DOTNET_CHANGES, python: $PYTHON_CHANGES"
dotnet-integration-tests:
name: .NET Integration Tests
needs: resolve-ref
if: needs.resolve-ref.outputs.dotnet-changes == 'true'
uses: ./.github/workflows/dotnet-integration-tests.yml
with:
checkout-ref: ${{ needs.resolve-ref.outputs.checkout-ref }}
secrets: inherit
python-integration-tests:
name: Python Integration Tests
needs: resolve-ref
if: needs.resolve-ref.outputs.python-changes == 'true'
uses: ./.github/workflows/python-integration-tests.yml
with:
checkout-ref: ${{ needs.resolve-ref.outputs.checkout-ref }}
secrets: inherit
+4 -1
View File
@@ -29,4 +29,7 @@ jobs:
token: ${{ secrets.GITHUB_TOKEN }}
timeout: 3600
interval: 30
ignored: CodeQL,CodeQL analysis (csharp)
# "Cleanup artifacts", "Agent", "Prepare", and "Upload results" are check runs
# created by an org-level GitHub App (MSDO), not by any workflow in this repo.
# They are outside our control and their transient failures should not block merges.
ignored: CodeQL,CodeQL analysis (csharp),Cleanup artifacts,Agent,Prepare,Upload results
@@ -0,0 +1,319 @@
#
# Dedicated Python integration tests workflow, called from the manual integration test orchestrator.
# Runs all tests (unit + integration) split into parallel jobs by provider.
#
# NOTE: This workflow and python-merge-tests.yml share the same set of parallel
# test jobs. Keep them in sync — when adding, removing, or modifying a job here,
# apply the same change to python-merge-tests.yml.
#
name: python-integration-tests
on:
workflow_call:
inputs:
checkout-ref:
description: "Git ref to checkout (e.g., refs/pull/123/head)"
required: true
type: string
permissions:
contents: read
id-token: write
env:
UV_CACHE_DIR: /tmp/.uv-cache
UV_PYTHON: "3.13"
jobs:
# Unit tests: all non-integration tests across all packages
python-tests-unit:
name: Python Integration Tests - Unit
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (unit tests only)
run: >
uv run poe all-tests
-m "not integration"
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
# OpenAI integration tests
python-tests-openai:
name: Python Integration Tests - OpenAI
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDINGS_MODEL_ID: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (OpenAI integration)
run: >
uv run pytest --import-mode=importlib
packages/core/tests/openai
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
# Azure OpenAI integration tests
python-tests-azure-openai:
name: Python Integration Tests - Azure OpenAI
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest (Azure OpenAI integration)
run: >
uv run pytest --import-mode=importlib
packages/core/tests/azure
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
# Misc integration tests (Anthropic, Ollama, MCP)
python-tests-misc-integration:
name: Python Integration Tests - Misc
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL_ID: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (Anthropic, Ollama, MCP integration)
run: >
uv run pytest --import-mode=importlib
packages/anthropic/tests
packages/ollama/tests
packages/core/tests/core/test_mcp.py
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
# Azure Functions + Durable Task integration tests
python-tests-functions:
name: Python Integration Tests - Functions
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
UV_PYTHON: "3.10"
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
FUNCTIONS_WORKER_RUNTIME: "python"
DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
AzureWebJobsStorage: "UseDevelopmentStorage=true"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Set up Azure Functions Integration Test Emulators
uses: ./.github/actions/azure-functions-integration-setup
id: azure-functions-setup
- name: Test with pytest (Functions + Durable Task integration)
run: >
uv run pytest --import-mode=importlib
packages/azurefunctions/tests/integration_tests
packages/durabletask/tests/integration_tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
# Azure AI integration tests
python-tests-azure-ai:
name: Python Integration Tests - Azure AI
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest
timeout-minutes: 15
run: uv run --directory packages/azure-ai poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
# Azure Cosmos integration tests
python-tests-cosmos:
name: Python Integration Tests - Cosmos
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
services:
cosmosdb:
image: mcr.microsoft.com/cosmosdb/linux/azure-cosmos-emulator:vnext-preview
ports:
- 8081:8081
env:
AZURE_COSMOS_ENDPOINT: "http://localhost:8081/"
# Static Azure Cosmos DB emulator key (documented): https://learn.microsoft.com/en-us/azure/cosmos-db/emulator
AZURE_COSMOS_KEY: "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
AZURE_COSMOS_DATABASE_NAME: "agent-framework-cosmos-it-db"
AZURE_COSMOS_CONTAINER_NAME: "agent-framework-cosmos-it-container"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Wait for Cosmos DB emulator
run: |
for i in {1..60}; do
if curl --silent --show-error http://localhost:8081/ > /dev/null; then
echo "Cosmos DB emulator is ready."
exit 0
fi
sleep 2
done
echo "Cosmos DB emulator did not become ready in time." >&2
exit 1
- name: Test with pytest (Cosmos integration)
run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
python-integration-tests-check:
if: always()
runs-on: ubuntu-latest
needs:
[
python-tests-unit,
python-tests-openai,
python-tests-azure-openai,
python-tests-misc-integration,
python-tests-functions,
python-tests-azure-ai,
python-tests-cosmos
]
steps:
- name: Fail workflow if tests failed
if: contains(join(needs.*.result, ','), 'failure')
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Failed!')
- name: Fail workflow if tests cancelled
if: contains(join(needs.*.result, ','), 'cancelled')
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Cancelled!')
+343 -60
View File
@@ -1,4 +1,9 @@
name: Python - Merge - Tests
#
# NOTE: This workflow and python-integration-tests.yml share the same set of
# parallel test jobs. Keep them in sync — when adding, removing, or modifying a
# job here, apply the same change to python-integration-tests.yml.
#
on:
workflow_dispatch:
@@ -10,13 +15,13 @@ on:
- cron: "0 0 * * *" # Run at midnight UTC daily
permissions:
contents: write
contents: read
id-token: write
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
RUN_INTEGRATION_TESTS: "true"
UV_PYTHON: "3.13"
RUN_SAMPLES_TESTS: ${{ vars.RUN_SAMPLES_TESTS }}
jobs:
@@ -26,7 +31,14 @@ jobs:
contents: read
pull-requests: read
outputs:
pythonChanges: ${{ steps.filter.outputs.python}}
pythonChanges: ${{ steps.filter.outputs.python }}
coreChanged: ${{ steps.filter.outputs.core }}
openaiChanged: ${{ steps.filter.outputs.openai }}
azureChanged: ${{ steps.filter.outputs.azure }}
miscChanged: ${{ steps.filter.outputs.misc }}
functionsChanged: ${{ steps.filter.outputs.functions }}
azureAiChanged: ${{ steps.filter.outputs.azure-ai }}
cosmosChanged: ${{ steps.filter.outputs.cosmos }}
steps:
- uses: actions/checkout@v6
- uses: dorny/paths-filter@v3
@@ -35,6 +47,29 @@ jobs:
filters: |
python:
- 'python/**'
core:
- 'python/packages/core/agent_framework/_*.py'
- 'python/packages/core/agent_framework/_workflows/**'
- 'python/packages/core/agent_framework/exceptions.py'
- 'python/packages/core/agent_framework/observability.py'
openai:
- 'python/packages/core/agent_framework/openai/**'
- 'python/packages/core/tests/openai/**'
azure:
- 'python/packages/core/agent_framework/azure/**'
- 'python/packages/core/tests/azure/**'
misc:
- 'python/packages/anthropic/**'
- 'python/packages/ollama/**'
- 'python/packages/core/agent_framework/_mcp.py'
- 'python/packages/core/tests/core/test_mcp.py'
functions:
- 'python/packages/azurefunctions/**'
- 'python/packages/durabletask/**'
azure-ai:
- 'python/packages/azure-ai/**'
cosmos:
- 'python/packages/azure-cosmos/**'
# run only if 'python' files were changed
- name: python tests
if: steps.filter.outputs.python == 'true'
@@ -43,34 +78,15 @@ jobs:
- name: not python tests
if: steps.filter.outputs.python != 'true'
run: echo "NOT python file"
python-tests-core:
name: Python Tests - Core
# Unit tests: always run all non-integration tests across all packages
python-tests-unit:
name: Python Tests - Unit
needs: paths-filter
if: github.event_name != 'pull_request' && needs.paths-filter.outputs.pythonChanges == 'true'
runs-on: ${{ matrix.os }}
environment: ${{ matrix.environment }}
strategy:
fail-fast: true
matrix:
python-version: ["3.10"]
os: [ubuntu-latest]
environment: ["integration"]
env:
UV_PYTHON: ${{ matrix.python-version }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL_ID: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
# For Azure Functions integration tests
FUNCTIONS_WORKER_RUNTIME: "python"
DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
AzureWebJobsStorage: "UseDevelopmentStorage=true"
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true'
runs-on: ubuntu-latest
environment: integration
defaults:
run:
working-directory: python
@@ -80,11 +96,219 @@ jobs:
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ matrix.python-version }}
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (unit tests only)
run: >
uv run poe all-tests
-m "not integration"
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/**.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Unit test results
# OpenAI integration tests
python-tests-openai:
name: Python Tests - OpenAI Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.openaiChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDINGS_MODEL_ID: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (OpenAI integration)
run: >
uv run pytest --import-mode=importlib
packages/core/tests/openai
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
working-directory: ./python
- name: Test OpenAI samples
timeout-minutes: 10
if: env.RUN_SAMPLES_TESTS == 'true'
run: uv run pytest tests/samples/ -m "openai"
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/**.xml
summary: true
display-options: fEX
fail-on-empty: false
title: OpenAI integration test results
# Azure OpenAI integration tests
python-tests-azure-openai:
name: Python Tests - Azure OpenAI Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.azureChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest (Azure OpenAI integration)
run: >
uv run pytest --import-mode=importlib
packages/core/tests/azure
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
working-directory: ./python
- name: Test Azure samples
timeout-minutes: 10
if: env.RUN_SAMPLES_TESTS == 'true'
run: uv run pytest tests/samples/ -m "azure"
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/**.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Azure OpenAI integration test results
# Misc integration tests (Anthropic, Ollama, MCP)
python-tests-misc-integration:
name: Python Tests - Misc Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.miscChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL_ID: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (Anthropic, Ollama, MCP integration)
run: >
uv run pytest --import-mode=importlib
packages/anthropic/tests
packages/ollama/tests
packages/core/tests/core/test_mcp.py
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/**.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Misc integration test results
# Azure Functions + Durable Task integration tests
python-tests-functions:
name: Python Tests - Functions Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.functionsChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
UV_PYTHON: "3.10"
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
FUNCTIONS_WORKER_RUNTIME: "python"
DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
AzureWebJobsStorage: "UseDevelopmentStorage=true"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@v2
@@ -95,13 +319,15 @@ jobs:
- name: Set up Azure Functions Integration Test Emulators
uses: ./.github/actions/azure-functions-integration-setup
id: azure-functions-setup
- name: Test with pytest
run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
working-directory: ./python
- name: Test core samples
timeout-minutes: 10
if: env.RUN_SAMPLES_TESTS == 'true'
run: uv run pytest tests/samples/ -m "openai" -m "azure"
- name: Test with pytest (Functions + Durable Task integration)
run: >
uv run pytest --import-mode=importlib
packages/azurefunctions/tests/integration_tests
packages/durabletask/tests/integration_tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
working-directory: ./python
- name: Surface failing tests
if: always()
@@ -111,22 +337,20 @@ jobs:
summary: true
display-options: fEX
fail-on-empty: false
title: Test results
title: Functions integration test results
python-tests-azure-ai:
name: Python Tests - Azure AI
needs: paths-filter
if: github.event_name != 'pull_request' && needs.paths-filter.outputs.pythonChanges == 'true'
runs-on: ${{ matrix.os }}
environment: ${{ matrix.environment }}
strategy:
fail-fast: true
matrix:
python-version: ["3.10"]
os: [ubuntu-latest]
environment: ["integration"]
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.azureAiChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
UV_PYTHON: ${{ matrix.python-version }}
AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
@@ -139,11 +363,8 @@ jobs:
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ matrix.python-version }}
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@v2
@@ -153,7 +374,7 @@ jobs:
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest
timeout-minutes: 15
run: uv run --directory packages/azure-ai poe integration-tests -n logical --dist loadfile --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
run: uv run --directory packages/azure-ai poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
working-directory: ./python
- name: Test Azure AI samples
timeout-minutes: 10
@@ -172,16 +393,78 @@ jobs:
# TODO: Add python-tests-lab
# Azure Cosmos integration tests
python-tests-cosmos:
name: Python Tests - Cosmos Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.cosmosChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
services:
cosmosdb:
image: mcr.microsoft.com/cosmosdb/linux/azure-cosmos-emulator:vnext-preview
ports:
- 8081:8081
env:
AZURE_COSMOS_ENDPOINT: "http://localhost:8081/"
# Static Azure Cosmos DB emulator key (documented): https://learn.microsoft.com/en-us/azure/cosmos-db/emulator
AZURE_COSMOS_KEY: "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
AZURE_COSMOS_DATABASE_NAME: "agent-framework-cosmos-it-db"
AZURE_COSMOS_CONTAINER_NAME: "agent-framework-cosmos-it-container"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Wait for Cosmos DB emulator
run: |
for i in {1..60}; do
if curl --silent --show-error http://localhost:8081/ > /dev/null; then
echo "Cosmos DB emulator is ready."
exit 0
fi
sleep 2
done
echo "Cosmos DB emulator did not become ready in time." >&2
exit 1
- name: Test with pytest (Cosmos integration)
run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/**.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Cosmos integration test results
python-integration-tests-check:
if: always()
runs-on: ubuntu-latest
needs:
[
python-tests-core,
python-tests-azure-ai
python-tests-unit,
python-tests-openai,
python-tests-azure-openai,
python-tests-misc-integration,
python-tests-functions,
python-tests-azure-ai,
python-tests-cosmos,
]
steps:
- name: Fail workflow if tests failed
id: check_tests_failed
if: contains(join(needs.*.result, ','), 'failure')
@@ -0,0 +1,302 @@
name: Python - Sample Validation
on:
workflow_dispatch:
schedule:
- cron: "0 0 * * *" # Run at midnight UTC daily
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
# GitHub Copilot configuration
GITHUB_COPILOT_MODEL: claude-opus-4.6
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
permissions:
contents: read
id-token: write
jobs:
validate-01-get-started:
name: Validate 01-get-started
runs-on: ubuntu-latest
environment: integration
env:
# Required configuration for get-started samples
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 01-get-started --save-report --report-name 01-get-started
- name: Upload validation report
uses: actions/upload-artifact@v4
if: always()
with:
name: validation-report-01-get-started
path: python/scripts/sample_validation/reports/
validate-02-agents:
name: Validate 02-agents
runs-on: ubuntu-latest
environment: integration
env:
# Azure AI configuration
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
# Observability
ENABLE_INSTRUMENTATION: "true"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents --save-report --report-name 02-agents
- name: Upload validation report
uses: actions/upload-artifact@v4
if: always()
with:
name: validation-report-02-agents
path: python/scripts/sample_validation/reports/
validate-03-workflows:
name: Validate 03-workflows
runs-on: ubuntu-latest
environment: integration
env:
# Azure AI configuration
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 03-workflows --save-report --report-name 03-workflows
- name: Upload validation report
uses: actions/upload-artifact@v4
if: always()
with:
name: validation-report-03-workflows
path: python/scripts/sample_validation/reports/
validate-04-hosting:
name: Validate 04-hosting
if: false # Temporarily disabled because of sample complexity
runs-on: ubuntu-latest
environment: integration
env:
# Azure AI configuration
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# A2A configuration
A2A_AGENT_HOST: http://localhost:5001/
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 04-hosting --save-report --report-name 04-hosting
- name: Upload validation report
uses: actions/upload-artifact@v4
if: always()
with:
name: validation-report-04-hosting
path: python/scripts/sample_validation/reports/
validate-05-end-to-end:
name: Validate 05-end-to-end
if: false # Temporarily disabled because of sample complexity
runs-on: ubuntu-latest
environment: integration
env:
# Azure AI configuration
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure AI Search (for evaluation samples)
AZURE_SEARCH_ENDPOINT: ${{ secrets.AZURE_SEARCH_ENDPOINT }}
AZURE_SEARCH_API_KEY: ${{ secrets.AZURE_SEARCH_API_KEY }}
AZURE_SEARCH_INDEX_NAME: ${{ secrets.AZURE_SEARCH_INDEX_NAME }}
# Evaluation sample
AZURE_AI_MODEL_DEPLOYMENT_NAME_WORKFLOW: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 05-end-to-end --save-report --report-name 05-end-to-end
- name: Upload validation report
uses: actions/upload-artifact@v4
if: always()
with:
name: validation-report-05-end-to-end
path: python/scripts/sample_validation/reports/
validate-autogen-migration:
name: Validate autogen-migration
runs-on: ubuntu-latest
environment: integration
env:
# Azure AI configuration
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir autogen-migration --save-report --report-name autogen-migration
- name: Upload validation report
uses: actions/upload-artifact@v4
if: always()
with:
name: validation-report-autogen-migration
path: python/scripts/sample_validation/reports/
validate-semantic-kernel-migration:
name: Validate semantic-kernel-migration
runs-on: ubuntu-latest
environment: integration
env:
# Azure AI configuration
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
# Copilot Studio
COPILOTSTUDIOAGENT__ENVIRONMENTID: ${{ secrets.COPILOTSTUDIOAGENT__ENVIRONMENTID }}
COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }}
COPILOTSTUDIOAGENT__TENANTID: ${{ secrets.COPILOTSTUDIOAGENT__TENANTID }}
COPILOTSTUDIOAGENT__AGENTAPPID: ${{ secrets.COPILOTSTUDIOAGENT__AGENTAPPID }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir semantic-kernel-migration --save-report --report-name semantic-kernel-migration
- name: Upload validation report
uses: actions/upload-artifact@v4
if: always()
with:
name: validation-report-semantic-kernel-migration
path: python/scripts/sample_validation/reports/
+7 -7
View File
@@ -53,7 +53,7 @@ Still have questions? Join our [weekly office hours](./COMMUNITY.md#public-commu
### ✨ **Highlights**
- **Graph-based Workflows**: Connect agents and deterministic functions using data flows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities
- [Python workflows](./python/samples/03-workflows/) | [.NET workflows](./dotnet/samples/GettingStarted/Workflows/)
- [Python workflows](./python/samples/03-workflows/) | [.NET workflows](./dotnet/samples/03-workflows/)
- **AF Labs**: Experimental packages for cutting-edge features including benchmarking, reinforcement learning, and research initiatives
- [Labs directory](./python/packages/lab/)
- **DevUI**: Interactive developer UI for agent development, testing, and debugging workflows
@@ -73,11 +73,11 @@ Still have questions? Join our [weekly office hours](./COMMUNITY.md#public-commu
- **Python and C#/.NET Support**: Full framework support for both Python and C#/.NET implementations with consistent APIs
- [Python packages](./python/packages/) | [.NET source](./dotnet/src/)
- **Observability**: Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
- [Python observability](./python/samples/02-agents/observability/) | [.NET telemetry](./dotnet/samples/GettingStarted/AgentOpenTelemetry/)
- [Python observability](./python/samples/02-agents/observability/) | [.NET telemetry](./dotnet/samples/02-agents/AgentOpenTelemetry/)
- **Multiple Agent Provider Support**: Support for various LLM providers with more being added continuously
- [Python examples](./python/samples/02-agents/providers/) | [.NET examples](./dotnet/samples/GettingStarted/AgentProviders/)
- [Python examples](./python/samples/02-agents/providers/) | [.NET examples](./dotnet/samples/02-agents/AgentProviders/)
- **Middleware**: Flexible middleware system for request/response processing, exception handling, and custom pipelines
- [Python middleware](./python/samples/02-agents/middleware/) | [.NET middleware](./dotnet/samples/GettingStarted/Agents/Agent_Step14_Middleware/)
- [Python middleware](./python/samples/02-agents/middleware/) | [.NET middleware](./dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/)
### 💬 **We want your feedback!**
@@ -169,9 +169,9 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
### .NET
- [Getting Started with Agents](./dotnet/samples/GettingStarted/Agents): basic agent creation and tool usage
- [Agent Provider Samples](./dotnet/samples/GettingStarted/AgentProviders): samples showing different agent providers
- [Workflow Samples](./dotnet/samples/GettingStarted/Workflows): advanced multi-agent patterns and workflow orchestration
- [Getting Started with Agents](./dotnet/samples/02-agents/Agents): basic agent creation and tool usage
- [Agent Provider Samples](./dotnet/samples/02-agents/AgentProviders): samples showing different agent providers
- [Workflow Samples](./dotnet/samples/03-workflows): advanced multi-agent patterns and workflow orchestration
## Contributor Resources
+1 -1
View File
@@ -11,7 +11,7 @@ model:
topP: 0.95
connection:
kind: key
apiKey: =Env.OPENAI_APIKEY
apiKey: =Env.OPENAI_API_KEY
outputSchema:
properties:
language:
+1 -1
View File
@@ -498,7 +498,7 @@ We need to decide what AIContent types, each agent response type will be mapped
| Google ADK | **Approach 1** Both [input and output schemas can be specified for LLM Agents](https://google.github.io/adk-docs/agents/llm-agents/#structuring-data-input_schema-output_schema-output_key) at construction time. This option is specific to this agent type and other agent types do not necessarily support |
| AWS (Strands) | **Approach 2** Supports a special invocation method called [structured_output](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent/#strands.agent.agent.Agent.structured_output) |
| LangGraph | **Approach 1** Supports [configuring an agent](https://langchain-ai.github.io/langgraph/agents/agents/?h=structured#6-configure-structured-output) at agent construction time, and a [structured response](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) can be retrieved as a special property on the agent response |
| Agno | **Approach 1** Supports [configuring an agent](https://docs.agno.com/examples/getting-started/structured-output) at agent construction time |
| Agno | **Approach 1** Supports [configuring an agent](https://docs.agno.com/input-output/structured-output/agent) at agent construction time |
| A2A | **Informal Approach 2** Doesn't formally support schema negotiation, but [hints can be provided via metadata](https://a2a-protocol.org/latest/specification/#97-structured-data-exchange-requesting-and-providing-json) at invocation time |
| Protocol Activity | Supports returning [Complex types](https://github.com/microsoft/Agents/blob/main/specs/activity/protocol-activity.md#complex-types) but no support for requesting a type |
@@ -1114,6 +1114,7 @@ Defaults introduced by this change:
- `RedisContextProvider.DEFAULT_SOURCE_ID = "redis"`
- `RedisHistoryProvider.DEFAULT_SOURCE_ID = "redis_memory"`
- `AzureAISearchContextProvider.DEFAULT_SOURCE_ID = "azure_ai_search"`
- `FoundryMemoryProvider.DEFAULT_SOURCE_ID = "foundry_memory"`
## Comparison to .NET Implementation
@@ -0,0 +1,211 @@
---
status: accepted
contact: westey-m
date: 2026-02-24
deciders: sergeymenshykh, markwallace, rbarreto, dmytrostruk, westey-m, eavanvalkenburg, stephentoub, lokitoth, alliscode, taochenosu, moonbox3
consulted:
informed:
---
# AdditionalProperties for AIAgent and AgentSession
## Context and Problem Statement
The `AIAgent` base class currently exposes `Id`, `Name`, and `Description` as its core metadata properties, and `AgentSession` exposes only a `StateBag` property.
Neither type has a mechanism for attaching arbitrary metadata, such as protocol-specific descriptors (e.g., A2A agent cards), hosting attributes, session-level tags, or custom user-defined metadata for discovery and routing.
Other types in the framework already carry `AdditionalProperties` — notably `AgentRunOptions`, `AgentResponse`, and `AgentResponseUpdate` — all using `AdditionalPropertiesDictionary` from `Microsoft.Extensions.AI`.
Adding a similar property to `AIAgent` and `AgentSession` would give both types a consistent, extensible metadata surface.
Related: [Work Item #2133](https://github.com/microsoft/agent-framework/issues/2133)
## Decision Drivers
- **Consistency**: Other core types (`AgentRunOptions`, `AgentResponse`, `AgentResponseUpdate`) already expose `AdditionalProperties`. `AIAgent` and `AgentSession` are the major abstractions that lack this.
- **Extensibility**: Hosting libraries, protocol adapters (A2A, AG-UI), and discovery mechanisms need a place to attach agent-level and session-level metadata without subclassing.
- **Simplicity**: The solution should be easy to understand and use; avoid over-engineering.
- **Minimal breaking change**: The addition should not require changes to existing agent implementations.
- **Clear semantics**: Users should understand what `AdditionalProperties` on an agent or session means and how it differs from `AdditionalProperties` on `AgentRunOptions`.
## Considered Options
### Surface Area
- **Option A**: Public get-only property, auto-initialized (`AdditionalPropertiesDictionary AdditionalProperties { get; } = new()`) on both `AIAgent` and `AgentSession`
- **Option B**: Public get/set nullable property (`AdditionalPropertiesDictionary? AdditionalProperties { get; set; }`) on both `AIAgent` and `AgentSession`
- **Option C**: Constructor-injected dictionary with public get-only accessor on both `AIAgent` and `AgentSession`
- **Option D**: External container/wrapper object — metadata lives outside `AIAgent` and `AgentSession`; no changes to the base classes
### Semantics
- **Option 1**: Metadata only — describes the agent or session; not propagated when calling `IChatClient`
- **Option 2**: Passed down the stack — merged into `ChatOptions.AdditionalProperties` during `ChatClientAgent` runs
## Decision Outcome
The chosen option is **Option D + Option 1**: an external container/wrapper object, used purely as metadata.
### Consequences
- Good, because `AIAgent` and `AgentSession` remain unchanged, avoiding any increase to the core framework surface area while still enabling extensible metadata.
- Good, because an external wrapper (owned by hosting/protocol libraries or user code, not the `AIAgent` / `AgentSession` base classes) can internally use `AdditionalPropertiesDictionary` to stay consistent with existing patterns on `AgentRunOptions`, `AgentResponse`, and `AgentResponseUpdate`.
- Good, because metadata-only semantics keep a clean separation from per-run extensibility (`AgentRunOptions.AdditionalProperties`) and avoid unexpected side effects during agent execution.
- Good, because no additional allocation occurs on `AIAgent` or `AgentSession` when no metadata is needed; external wrappers can be created only when metadata is required.
- Bad, because callers and libraries must manage and pass around both the agent/session instance and its associated metadata wrapper, keeping them correctly associated.
- Bad, because different hosting or protocol layers may define their own wrapper types, which can fragment the ecosystem unless conventions are agreed upon.
## Pros and Cons of the Options
### Option A — Public get-only property, auto-initialized
The property is always non-null and ready to use. Users add metadata after construction.
```csharp
public abstract partial class AIAgent
{
public AdditionalPropertiesDictionary AdditionalProperties { get; } = new();
}
public abstract partial class AgentSession
{
public AdditionalPropertiesDictionary AdditionalProperties { get; } = new();
}
// Usage
agent.AdditionalProperties["protocol"] = "A2A";
agent.AdditionalProperties.Add<MyAgentCardInfo>(cardInfo);
session.AdditionalProperties["tenant"] = tenantId;
```
- Good, because users never encounter `null` — no defensive null checks needed.
- Good, because the dictionary reference cannot be replaced, preventing accidental data loss.
- Good, because it is the simplest API surface to use.
- Neutral, because it always allocates, even when no metadata is needed. The allocation cost is negligible.
- Bad, because it cannot be set at construction time as a single object (users must populate it post-construction).
### Option B — Public get/set nullable property
Matches the existing pattern on `AgentRunOptions`, `AgentResponse`, and `AgentResponseUpdate`.
```csharp
public abstract partial class AIAgent
{
public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
}
public abstract partial class AgentSession
{
public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
}
// Usage
agent.AdditionalProperties ??= new();
agent.AdditionalProperties["protocol"] = "A2A";
session.AdditionalProperties ??= new();
session.AdditionalProperties["tenant"] = tenantId;
```
- Good, because it is consistent with the existing `AdditionalProperties` pattern on `AgentRunOptions` and `AgentResponse`.
- Good, because it avoids allocation when no metadata is needed.
- Bad, because every consumer must null-check before reading or writing.
- Bad, because the entire dictionary can be replaced, risking accidental loss of metadata set by other components (e.g., a hosting library sets metadata, then user code replaces the dictionary).
### Option C — Constructor-injected with public get
The dictionary is provided at construction time and exposed as get-only.
```csharp
public abstract partial class AIAgent
{
public AdditionalPropertiesDictionary AdditionalProperties { get; }
protected AIAgent(AdditionalPropertiesDictionary? additionalProperties = null)
{
this.AdditionalProperties = additionalProperties ?? new();
}
}
public abstract partial class AgentSession
{
public AdditionalPropertiesDictionary AdditionalProperties { get; }
protected AgentSession(AdditionalPropertiesDictionary? additionalProperties = null)
{
this.AdditionalProperties = additionalProperties ?? new();
}
}
```
- Good, because an agent's metadata can be established before any code runs against it.
- Bad, because `AdditionalPropertiesDictionary` has no read-only variant, so the constructor-injection pattern gives a false sense of immutability — callers can still mutate the dictionary contents after construction.
- Bad, because it requires adding a constructor parameter to the abstract base classes, which is a source-breaking change for all existing `AIAgent` and `AgentSession` subclasses (even with a default value, it changes the constructor signature that derived classes chain to).
- Bad, because it is more complex with little practical benefit over Option A, since post-construction mutation is equally possible.
### Option D — External container/wrapper object
Rather than adding `AdditionalProperties` to `AIAgent` or `AgentSession`, users wrap the agent or session in a container object that carries both the instance and any associated metadata. No changes to the base classes are required.
```csharp
public class AgentWithMetadata
{
public required AIAgent Agent { get; init; }
public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
}
public class SessionWithMetadata
{
public required AgentSession Session { get; init; }
public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
}
// Usage
var wrapper = new AgentWithMetadata
{
Agent = myAgent,
AdditionalProperties = new() { ["protocol"] = "A2A" }
};
```
- Good, because it requires no changes to `AIAgent` or `AgentSession`, avoiding any risk of breaking existing implementations.
- Good, because metadata is clearly external to the agent and session, eliminating any ambiguity about whether it might be passed down the execution stack.
- Good, because the container pattern gives the user full control over the metadata lifecycle and serialization.
- Bad, because it is not discoverable — users must know about the container convention; there is no built-in API surface guiding them.
### Option 1 — Metadata only
`AdditionalProperties` on `AIAgent` and `AgentSession` is descriptive metadata. It is **not** automatically propagated when the agent calls downstream services such as `IChatClient`.
- Good, because it keeps a clean separation of concerns: agent/session-level metadata vs. per-run options.
- Good, because it avoids unintended side effects — metadata added for discovery or hosting won't leak into LLM requests.
- Good, because per-run extensibility is already served by `AgentRunOptions.AdditionalProperties` (see [ADR 0014](0014-feature-collections.md)), so there is no gap.
- Neutral, because users who want to pass agent metadata to the chat client can still do so manually via `AgentRunOptions`.
### Option 2 — Passed down the stack
`AdditionalProperties` on `AIAgent` and `AgentSession` are automatically merged into `ChatOptions.AdditionalProperties` (or similar) when `ChatClientAgent` invokes the underlying `IChatClient`.
- Good, because it provides an automatic way to send agent-level configuration to the LLM provider.
- Bad, because it conflates metadata (describing the agent) with operational parameters (controlling LLM behavior), leading to potential confusion.
- Bad, because it risks leaking unrelated metadata into LLM calls (e.g., hosting tags, discovery URLs).
- Bad, because it would be `ChatClientAgent`-specific behavior on a base-class property, creating inconsistency for non-`ChatClientAgent` implementations.
- Bad, because it duplicates the purpose of `AgentRunOptions.AdditionalProperties`, which already serves as the per-run extensibility point for passing data down the stack.
## Serialization Considerations
`AIAgent` instances are not typically serialized, so `AdditionalProperties` on `AIAgent` does not raise serialization concerns.
`AgentSession` instances, however, are routinely serialized and deserialized — for example, to persist conversation state across application restarts. Adding `AdditionalProperties` to `AgentSession` introduces a serialization challenge: `AdditionalPropertiesDictionary` is a `Dictionary<string, object?>`, and `object?` values do not carry enough type information for the JSON deserializer to reconstruct the original CLR types.
### Default behavior — JsonElement round-tripping
By default, when an `AgentSession` with `AdditionalProperties` is serialized and later deserialized, any complex objects stored as values in the dictionary will be deserialized as `JsonElement` rather than their original types. This is the same behavior exhibited by `ChatMessage.AdditionalProperties` and other `AdditionalPropertiesDictionary` usages in `Microsoft.Extensions.AI`, and is the approach we will follow.
### Custom serialization via JsonSerializerOptions
`AIAgent.SerializeSessionAsync` and `AIAgent.DeserializeSessionAsync` already accept an optional `JsonSerializerOptions` parameter. Users who need strongly-typed round-tripping of `AdditionalProperties` values can supply custom options with appropriate converters or type info resolvers. This is non-trivial to implement but provides full control over deserialization behavior when needed.
## More Information
- [ADR 0014 — Feature Collections](0014-feature-collections.md) established that `AdditionalProperties` on `AgentRunOptions` serves as the per-run extensibility mechanism. The proposed agent-level and session-level properties serve a complementary, distinct purpose: static metadata describing the agent or session itself.
- `AdditionalPropertiesDictionary` is defined in `Microsoft.Extensions.AI` and is already a dependency of `Microsoft.Agents.AI.Abstractions`. No new package references are needed.
- Type-safe access is available via the existing `AdditionalPropertiesExtensions` helper methods (`Add<T>`, `TryGetValue<T>`, `Contains<T>`, `Remove<T>`), which use `typeof(T).FullName` as the dictionary key.
@@ -0,0 +1,163 @@
---
# These are optional elements. Feel free to remove any of them.
status: accepted
contact: westey-m
date: 2026-02-25
deciders: sergeymenshykh, markwallace, rbarreto, dmytrostruk, westey-m, eavanvalkenburg, stephentoub
consulted:
informed:
---
# AgentSession serialization
## Context and Problem Statement
Serializing AgentSessions is done today by calling SerializeSession on the AIAgent instance and deserialization
is done via the DeserializeSession method on the AIAgent instance.
This approach has some drawbacks:
1. It requires each AgentSession implementation to implement its own serialization logic. This can lead to inconsistencies and errors if not done correctly.
1. It means that only one serialization format can be supported at a time. If we want to support multiple formats (e.g., JSON, XML, binary), we would need to implement separate serialization logic for each format.
1. It is not possible to serialize and deserialize lists of AgentSessions, since each need to be handled individually.
1. Users may not realise that they need to call these specific methods to serialize/deserialize AgentSessions.
The reason why this approach was chosen initially is that AgentSessions may have behaviors that are attached to them and only the agent knows what behaviors to attach.
These behaviors also have their own state that are attached to the AgentSession.
The behaviors may have references to SDKs or other resources that cannot be created via standard deserialization mechanisms.
E.g. an AgentSession may have a custom ChatMessageStore that knows how to store chat history in a specific storage backend and has a reference to the SDK client for that backend.
When deserializing the AgentSession, we need to make sure that the ChatMessageStore is created with the correct SDK client.
## Decision Drivers
- A. Ability to continue to support custom behaviors (AIContextProviders / ChatHistoryProviders).
- B. Ability to serialize and deserialize AgentSessions via standard serialization mechanisms, e.g. JsonSerializer.Serialize and JsonSerializer.Deserialize.
- C. Ability for the caller to access custom providers.
## Considered Options
- Option 1: Separate state from behavior, serialize state only and re-attach behavior on first usage
- Option 2: Separate state from behavior, and only have state on AgentSession
- Option 3: Keep the current approach of custom Serialize/Deserialize methods
### Option 1: Separate state from behavior, serialize state only and re-attach behavior on first usage
Decision Drivers satisfied: A, B and C (C only partially)
Have separate properties on the AgentSession for state and behavior and mark the behavior property with [JsonIgnore].
After deserializing the AgentSession, the behavior is null and when the AgentSession is first used by the Agent, the behavior is created and attached to the AgentSession.
This requires polymorphic deserialization to be supported, so that the correct AgentSession subclass and the correct behavior state is created during deserialization.
Since the implementations for AgentSessions and their behaviors are not all known at compile time, we need a way to register custom AgentSession types and their corresponding behavior types for serialization with System.Text.Json on our JsonUtilities helpers.
A drawback of this approach is that the AgentSession is in an incomplete state after deserialization until it is first used,
so if a user was to call `GetService<MyBehavior>()` on the AgentSession before it is used by the Agent, it would return null.
Behaviors like ChatMessageStore and AIContextProviders would need to change to support taking state as input and exposing state publicly.
```csharp
public class ChatClientAgentSession
{
...
public ChatMessageStoreState ChatMessageStoreState { get; }
public ChatMessageStore? ChatMessageStore { get; }
...
}
[JsonPolymorphic(TypeDiscriminatorPropertyName = "$type")]
[JsonDerivedType(typeof(InMemoryChatMessageStoreState), nameof(InMemoryChatMessageStoreState))]
public abstract class ChatMessageStoreState
{
}
public class InMemoryChatMessageStoreState : ChatMessageStoreState
{
public IList<ChatMessage> Messages { get; set; } = [];
}
public abstract class ChatMessageStore<TState>
where TState : ChatMessageStoreState
{
...
public abstract TState State { get; }
...
}
public sealed class InMemoryChatMessageStore : ChatMessageStore<InMemoryChatMessageStoreState>, IList<ChatMessage>
{
private readonly InMemoryChatMessageStoreState _state;
public InMemoryChatMessageStore(InMemoryChatMessageStoreState? state)
{
this._state = state ?? new InMemoryChatMessageStoreState();
}
public override InMemoryChatMessageStoreState State => this._state;
...
}
```
ChatClientAgent factories would need to change to support creating behaviors based on state:
```csharp
public Func<ChatMessageStoreFactoryContext, ChatMessageStore>? ChatMessageStoreFactory { get; set; }
public class ChatMessageStoreFactoryContext
{
public ChatMessageStoreState? State { get; set; }
}
```
The run behavior of the ChatClientAgent would be as follows:
1. If an AgentSession is provided, check if the ChatMessageStore property is null.
1. If it is, check if the ChatMessageStoreState property is null.
1. If ChatMessageStoreState is null, check if there is a provided ChatMessageStoreFactory.
1. If there is, call it with a ChatMessageStoreFactoryContext containing null State to create a default ChatMessageStore behavior, and update the AgentSession with the created behavior and its state.
2. If there is not, create a default InMemoryChatMessageStore behavior, and update the AgentSession with the created behavior and its state.
1. If ChatMessageStoreState is not null, check if there is a provided ChatMessageStoreFactory.
1. If there is, call it with a ChatMessageStoreFactoryContext containing the State to create a ChatMessageStore behavior based on the state.
2. If there is not, create an InMemoryChatMessageStore behavior based on the State.
### Option 2: Separate state from behavior, and only have state on AgentSession
Decision Drivers satisfied: A, B and C.
This is similar to Option 1 but instead of having a behavior property on the AgentSession, we only have a StateBag property on the AgentSession.
Behaviors really make more sense to live with the agent rather than the Session, but state should live on the session.
When the AgentSession is used by the Agent, the Agent runs the behaviors against the Session, and the behavior stores it's state on the Session StateBag.
This means that users are unable to access the behavior from the AgentSession, e.g. via `AgentSession.GetService<TBehavior>()`.
However, the behaviors can be public properties on the Agent or can be retrieved from the agent via `AIAgent.GetService<MyAIContextProvider>()`.
```csharp
public class AgentSession
{
...
public AgentSessionStateBag StateBag { get; protected set; } = new();
...
}
```
### Option 3: Keep the current approach of custom Serialize/Deserialize methods
Decision Drivers satisfied: A and C
This option keeps the current approach of having custom Serialize/Deserialize methods on the AgentSession and AIAgent.
## Decision Outcome
Chosen option:
**Option 2** — separate state from behavior, with only state on the AgentSession — because it satisfies all decision drivers and provides the cleanest separation of concerns. Since not all AgentSession implementations have yet been cleanly separated from their behaviors, AIAgent.SerializeSession and AIAgent.DeserializeSession is kept for the time being, but most session types can be serialized and deserialized directly using JsonSerializer.
### Consequences
- Good, because providers are fully stateless — the same provider instance works correctly across any number of concurrent sessions without risk of state leakage.
- Good, because `AgentSession` can be serialized and deserialized with standard `System.Text.Json` mechanisms, satisfying decision driver B.
- Good, because the generic `StateBag` is extensible — new providers can store arbitrary state without requiring changes to the session class.
- Good, because users can access providers via the agent (e.g. `agent.GetService<InMemoryChatHistoryProvider>()`) satisfying decision driver C.
- Good, because sessions are always in a complete and valid state after deserialization — there is no "incomplete until first use" problem as in Option 1.
- Neutral, because providers cannot be accessed directly from the session; callers must go through the agent. This is a minor usability trade-off but keeps the session focused on state only.
- Bad, because each provider must be disciplined about using `ProviderSessionState<T>` and not storing session-specific data in instance fields. This is a correctness concern for custom provider implementers.
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@@ -8,7 +8,7 @@ This directory contains feature documentation for the durable agents integration
- .NET implementation: `dotnet/src/Microsoft.Agents.AI.DurableTask/` and `dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/`
- Python implementation: `python/packages/durabletask/` and `python/packages/azurefunctions/` (package `agent-framework-azurefunctions`)
- .NET samples: `dotnet/samples/Durable/Agents/`
- .NET samples: `dotnet/samples/04-hosting/DurableAgents/`
- Python samples: `python/samples/04-hosting/durabletask/`
- Official docs (Microsoft Learn): <https://learn.microsoft.com/agent-framework/integrations/azure-functions>
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@@ -219,7 +219,7 @@ When using the [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-
## Samples
- **.NET** [Console app samples](../../../dotnet/samples/Durable/Agents/ConsoleApps/) and [Azure Functions samples](../../../dotnet/samples/Durable/Agents/AzureFunctions/) covering single-agent, chaining, concurrency, conditionals, human-in-the-loop, long-running tools, MCP tool exposure, and reliable streaming.
- **.NET** [Console app samples](../../../dotnet/samples/04-hosting/DurableAgents/ConsoleApps/) and [Azure Functions samples](../../../dotnet/samples/04-hosting/DurableAgents/AzureFunctions/) covering single-agent, chaining, concurrency, conditionals, human-in-the-loop, long-running tools, MCP tool exposure, and reliable streaming.
- **Python** [Durable Task samples](../../../python/samples/04-hosting/durabletask/) covering single-agent, multi-agent, streaming, chaining, concurrency, conditionals, and human-in-the-loop.
## Packages
@@ -0,0 +1,390 @@
# Vector Stores and Embeddings
## Overview
This feature ports the vector store abstractions, embedding generator abstractions, and their implementations from Semantic Kernel into Agent Framework. The ported code follows AF's coding standards, feels native to AF, and is structured to allow data models/schemas to be reusable across both frameworks. The embedding abstraction combines the best of SK's `EmbeddingGeneratorBase` and MEAI's `IEmbeddingGenerator<TInput, TEmbedding>`.
| Capability | Description |
| --- | --- |
| Embedding generation | Generic embedding client abstraction supporting text, image, and audio inputs |
| Vector store collections | CRUD operations on vector store collections (upsert, get, delete) |
| Vector search | Unified search interface with `search_type` parameter (`"vector"`, `"keyword_hybrid"`) |
| Data model decorator | `@vectorstoremodel` decorator for defining vector store data models (supports Pydantic, dataclasses, plain classes, dicts) |
| Agent tools | `create_search_tool`, `create_upsert_tool`, `create_get_tool`, `create_delete_tool` for agent-usable vector store operations |
| In-memory store | Zero-dependency vector store for testing and development |
| 13+ connectors | Azure AI Search, Qdrant, Redis, PostgreSQL, MongoDB, Cosmos DB, Pinecone, Chroma, Weaviate, Oracle, SQL Server, FAISS |
## Key Design Decisions
### Embedding Abstractions (combining SK + MEAI)
- **Both Protocol and Base class** (matching AF's `SupportsChatGetResponse` + `BaseChatClient` pattern):
- `SupportsGetEmbeddings` — Protocol for duck-typing
- `BaseEmbeddingClient` — ABC base class for implementations (similar to `BaseChatClient`)
- **Generic input type** (`EmbeddingInputT`, default `str`) from MEAI — allows image/audio embeddings in the future
- **Generic output type** (`EmbeddingT`, default `list[float]`) from MEAI — supports `list[float]`, `list[int]`, `bytes`, etc.
- **Generic order**: `[EmbeddingInputT, EmbeddingT, EmbeddingOptionsT]` — options last, matching MEAI's `IEmbeddingGenerator<TInput, TEmbedding>` with options appended
- **TypeVar naming convention**: Use `SuffixT` per AF standard (e.g., `EmbeddingInputT`, `EmbeddingT`, `ModelT`, `KeyT`)
- `EmbeddingGenerationOptions` TypedDict (inspired by MEAI, matching AF's `ChatOptions` pattern) — `total=False`, includes `dimensions`, `model_id`. No `additional_properties` since each implementation extends with its own fields.
- Protocol and base class are generic over input, output, and options: `SupportsGetEmbeddings[EmbeddingInputT, EmbeddingT, OptionsContraT]`, `BaseEmbeddingClient[EmbeddingInputT, EmbeddingT, OptionsCoT]`
- **`Embedding[EmbeddingT]` type** in `_types.py` — a lightweight generic class (not Pydantic) with `vector: EmbeddingT`, `model_id: str | None`, `dimensions: int | None` (explicit or computed from vector), `created_at: datetime | None`, `additional_properties: dict[str, Any]`
- **`GeneratedEmbeddings[EmbeddingT, EmbeddingOptionsT]` type** — a list-like container of `Embedding[EmbeddingT]` objects with `options: EmbeddingOptionsT | None` (stores the options used to generate), `usage: dict[str, Any] | None`, `additional_properties: dict[str, Any]`
- **No numpy dependency** — return `list[float]` by default; users cast as needed
### Vector Store Abstractions
- **Port core abstractions without Pydantic for internal classes** — use plain classes
- **Both Protocol and Base class** for vector store operations (matching AF pattern):
- `SupportsVectorUpsert` / `SupportsVectorSearch` — Protocols for duck-typing (follows `Supports<Capability>` naming convention)
- `BaseVectorCollection` / `BaseVectorSearch` — ABC base classes for implementations
- `BaseVectorStore` — ABC base class for store operations (factory for collections, no protocol needed)
- **TypeVar naming convention**: `ModelT`, `KeyT`, `FilterT` (suffix T, per AF standard)
- **Support Pydantic for user-facing data models** — the `@vectorstoremodel` decorator and `VectorStoreCollectionDefinition` should work with Pydantic models, dataclasses, plain classes, and dicts
- **Remove SK-specific dependencies** — no `KernelBaseModel`, `KernelFunction`, `KernelParameterMetadata`, `kernel_function`, `PromptExecutionSettings`
- **Embedding types in `_types.py`**, embedding protocol/base class in `_clients.py`
- **All vector store specific types, enums, protocols, base classes** in `_vectors.py`
- **Error handling** uses AF's exception hierarchy (e.g., `IntegrationException` variants)
### Package Structure
- **Embedding types** (`Embedding`, `GeneratedEmbeddings`, `EmbeddingGenerationOptions`) in `agent_framework/_types.py`
- **Embedding protocol + base class** (`SupportsGetEmbeddings`, `BaseEmbeddingClient`) in `agent_framework/_clients.py`
- **All vector store specific code** in a new `agent_framework/_vectors.py` module — this includes:
- Enums: `FieldTypes`, `IndexKind`, `DistanceFunction`
- `VectorStoreField`, `VectorStoreCollectionDefinition`
- `SearchOptions`, `SearchResponse`, `RecordFilterOptions`
- `@vectorstoremodel` decorator
- Serialization/deserialization protocols
- `VectorStoreRecordHandler`, `BaseVectorCollection`, `BaseVectorStore`, `BaseVectorSearch`
- `SupportsVectorUpsert`, `SupportsVectorSearch` protocols
- **OpenAI embeddings** in `agent_framework/openai/` (built into core, like OpenAI chat)
- **Azure OpenAI embeddings** in `agent_framework/azure/` (built into core, follows `AzureOpenAIChatClient` pattern)
- **Each vector store connector** in its own AF package under `packages/`
- **In-memory store** in core (no external deps)
- **TextSearch and its implementations** (Brave, Google) — last phase, separate work
## Naming: SK → AF
### Names that change
| SK Name | AF Name | Rationale |
|---------|---------|-----------|
| `VectorStoreCollection` | `BaseVectorCollection` | Drop redundant `Store`, add `Base` prefix per AF pattern |
| `VectorStore` | `BaseVectorStore` | Add `Base` prefix per AF pattern |
| `VectorSearch` | `BaseVectorSearch` | Add `Base` prefix per AF pattern |
| `VectorSearchOptions` | `SearchOptions` | Shorter — context is already vector search |
| `VectorSearchResult` | `SearchResponse` | Align with `ChatResponse`/`AgentResponse` |
| `GetFilteredRecordOptions` | `RecordFilterOptions` | Shorter, more natural |
| `EmbeddingGeneratorBase` | `BaseEmbeddingClient` | Matches AF `BaseChatClient` pattern |
| `VectorStoreCollectionProtocol` | `SupportsVectorUpsert` | AF `Supports*` naming convention |
| `VectorSearchProtocol` | `SupportsVectorSearch` | AF `Supports*` naming convention |
| `__kernel_vectorstoremodel__` | `__vectorstoremodel__` | Drop SK `kernel` prefix |
| `__kernel_vectorstoremodel_definition__` | `__vectorstoremodel_definition__` | Drop SK `kernel` prefix |
| `search()` + `hybrid_search()` | `search(search_type=...)` | Single method with `Literal` parameter |
| `SearchType` enum | `Literal["vector", "keyword_hybrid"]` | No enum, just a literal |
| `KernelSearchResults` | `SearchResults` | Drop SK `Kernel` prefix (plural — container of `SearchResponse` items) |
### Names that stay the same
| Name | Location |
|------|----------|
| `@vectorstoremodel` | `_vectors.py` |
| `VectorStoreField` | `_vectors.py` |
| `VectorStoreCollectionDefinition` | `_vectors.py` |
| `VectorStoreRecordHandler` | `_vectors.py` |
| `FieldTypes` | `_vectors.py` |
| `IndexKind` | `_vectors.py` |
| `DistanceFunction` | `_vectors.py` |
| `DISTANCE_FUNCTION_DIRECTION_HELPER` | `_vectors.py` |
| `Embedding` | `_types.py` |
| `GeneratedEmbeddings` | `_types.py` |
| `EmbeddingGenerationOptions` | `_types.py` |
| `SupportsGetEmbeddings` | `_clients.py` |
### New AF-only names (no SK equivalent)
| Name | Location | Purpose |
|------|----------|---------|
| `BaseEmbeddingClient` | `_clients.py` | ABC base for embedding implementations |
| `EmbeddingInputT` | `_types.py` | TypeVar for generic embedding input (default `str`) |
| `EmbeddingTelemetryLayer` | `observability.py` | MRO-based OTel tracing for embeddings |
| `SupportsVectorUpsert` | `_vectors.py` | Protocol for collection CRUD |
| `SupportsVectorSearch` | `_vectors.py` | Protocol for vector search |
| `create_search_tool` | `_vectors.py` | Creates AF `FunctionTool` from vector search |
## Source Files Reference (SK → AF mapping)
### SK Source Files
| SK File | Lines | Content |
|---------|-------|---------|
| `data/vector.py` | 2369 | All vector store abstractions, enums, decorator, search |
| `data/_shared.py` | 184 | SearchOptions, KernelSearchResults, shared search types |
| `data/text_search.py` | 349 | TextSearch base, TextSearchResult |
| `connectors/ai/embedding_generator_base.py` | 50 | EmbeddingGeneratorBase ABC |
| `connectors/in_memory.py` | 520 | InMemoryCollection, InMemoryStore |
| `connectors/azure_ai_search.py` | 793 | Azure AI Search collection + store |
| `connectors/azure_cosmos_db.py` | 1104 | Cosmos DB (Mongo + NoSQL) |
| `connectors/redis.py` | 845 | Redis (Hashset + JSON) |
| `connectors/qdrant.py` | 653 | Qdrant collection + store |
| `connectors/postgres.py` | 987 | PostgreSQL collection + store |
| `connectors/mongodb.py` | 633 | MongoDB Atlas collection + store |
| `connectors/pinecone.py` | 691 | Pinecone collection + store |
| `connectors/chroma.py` | 484 | Chroma collection + store |
| `connectors/faiss.py` | 278 | FAISS (extends InMemory) |
| `connectors/weaviate.py` | 804 | Weaviate collection + store |
| `connectors/oracle.py` | 1267 | Oracle collection + store |
| `connectors/sql_server.py` | 1132 | SQL Server collection + store |
| `connectors/ai/open_ai/services/open_ai_text_embedding.py` | 91 | OpenAI embedding impl |
| `connectors/ai/open_ai/services/open_ai_text_embedding_base.py` | 78 | OpenAI embedding base |
| `connectors/brave.py` | ~200 | Brave TextSearch impl |
| `connectors/google_search.py` | ~200 | Google TextSearch impl |
---
## Implementation Phases
### Phase 1: Core Embedding Abstractions & OpenAI Implementation ✅ DONE
**Goal:** Establish the embedding generator abstraction and ship one working implementation.
**Mergeable:** Yes — adds new types/protocols, no breaking changes.
**Status:** Merged via PR #4153. Closes sub-issue #4163.
#### 1.1 — Embedding types in `_types.py`
- `EmbeddingInputT` TypeVar (default `str`) — generic input type for embedding generation
- `EmbeddingT` TypeVar (default `list[float]`) — generic output embedding vector type
- `Embedding[EmbeddingT]` generic class: `vector: EmbeddingT`, `model_id: str | None`, `dimensions: int | None` (explicit param or computed from vector length), `created_at: datetime | None`, `additional_properties: dict[str, Any]`
- `GeneratedEmbeddings[EmbeddingT, EmbeddingOptionsT]` generic class: list-like container of `Embedding[EmbeddingT]` objects with `options: EmbeddingOptionsT | None` (the options used to generate), `usage: dict[str, Any] | None`, `additional_properties: dict[str, Any]`
- `EmbeddingGenerationOptions` TypedDict (`total=False`): `dimensions: int`, `model_id: str` — follows the same pattern as `ChatOptions`. No `additional_properties` needed since it's a TypedDict and each implementation can extend with its own fields.
#### 1.2 — Embedding generator protocol + base class in `_clients.py`
- `SupportsGetEmbeddings(Protocol[EmbeddingInputT, EmbeddingT, OptionsContraT])`: generic over input, output, and options (all with defaults), `get_embeddings(values: Sequence[EmbeddingInputT], *, options: OptionsContraT | None = None) -> Awaitable[GeneratedEmbeddings[EmbeddingT]]`
- `BaseEmbeddingClient(ABC, Generic[EmbeddingInputT, EmbeddingT, OptionsCoT])`: ABC base class mirroring `BaseChatClient` pattern
- `__init__` with `additional_properties`, etc.
- Abstract `get_embeddings(...)` for subclasses to implement directly (no `_inner_*` indirection — simpler than chat, no middleware needed)
- `EmbeddingTelemetryLayer` in `observability.py` — MRO-based telemetry (no closure), `gen_ai.operation.name = "embeddings"`
#### 1.3 — OpenAI embedding generator in `agent_framework/openai/` and `agent_framework/azure/`
- `RawOpenAIEmbeddingClient` — implements `get_embeddings` via `_ensure_client()` factory
- `OpenAIEmbeddingClient(OpenAIConfigMixin, EmbeddingTelemetryLayer[str, list[float], OptionsT], RawOpenAIEmbeddingClient[OptionsT])` — full client with config + telemetry layers
- `OpenAIEmbeddingOptions(EmbeddingGenerationOptions)` — extends with `encoding_format`, `user`
- `AzureOpenAIEmbeddingClient` in `agent_framework/azure/` — follows `AzureOpenAIChatClient` pattern with `AzureOpenAIConfigMixin`, `load_settings`, Entra ID credential support
- `AzureOpenAISettings` extended with `embedding_deployment_name` (env var: `AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME`)
#### 1.4 — Tests and samples
- Unit tests for types, protocol, base class, OpenAI client, Azure OpenAI client
- Integration tests for OpenAI and Azure OpenAI (gated behind credentials check, `@pytest.mark.flaky`)
- Samples in `samples/02-agents/embeddings/``openai_embeddings.py`, `azure_openai_embeddings.py`
---
### Phase 2: Embedding Generators for Existing Providers
**Goal:** Add embedding generators to all existing AF provider packages that have chat clients.
**Mergeable:** Yes — each is independent, added to existing provider packages.
#### 2.1 — Azure AI Inference embedding (in `packages/azure-ai/`)
#### 2.2 — Ollama embedding (in `packages/ollama/`)
#### 2.3 — Anthropic embedding (in `packages/anthropic/`)
#### 2.4 — Bedrock embedding (in `packages/bedrock/`)
---
### Phase 3: Core Vector Store Abstractions
**Goal:** Establish all vector store types, enums, the decorator, collection definition, and base classes.
**Mergeable:** Yes — adds new abstractions, no breaking changes.
#### 3.1 — Vector store enums and field types in `_vectors.py`
- `FieldTypes` enum: `KEY`, `VECTOR`, `DATA`
- `IndexKind` enum: `HNSW`, `FLAT`, `IVF_FLAT`, `DISK_ANN`, `QUANTIZED_FLAT`, `DYNAMIC`, `DEFAULT`
- `DistanceFunction` enum: `COSINE_SIMILARITY`, `COSINE_DISTANCE`, `DOT_PROD`, `EUCLIDEAN_DISTANCE`, `EUCLIDEAN_SQUARED_DISTANCE`, `MANHATTAN`, `HAMMING`, `DEFAULT`
- No `SearchType` enum — use `Literal["vector", "keyword_hybrid"]` instead, per AF convention of avoiding unnecessary imports
- `VectorStoreField` plain class (not Pydantic)
- `VectorStoreCollectionDefinition` class (not Pydantic internally, but supports Pydantic models as input)
- `SearchOptions` plain class — includes `score_threshold: float | None` for filtering results by score (see note below)
- `SearchResponse` generic class
- `RecordFilterOptions` plain class
- `DISTANCE_FUNCTION_DIRECTION_HELPER` dict
#### 3.2 — `@vectorstoremodel` decorator
- Port from SK, works with dataclasses, Pydantic models, plain classes, and dicts
- Sets `__vectorstoremodel__` and `__vectorstoremodel_definition__` on the class
- Remove SK-specific `kernel` prefix (`__kernel_vectorstoremodel__``__vectorstoremodel__`)
#### 3.3 — Serialization/deserialization protocols
- `SerializeMethodProtocol`, `ToDictFunctionProtocol`, `FromDictFunctionProtocol`, etc.
- Port the record handler logic but without Pydantic base class — use plain class or ABC
#### 3.4 — Vector store base classes in `_vectors.py`
- `VectorStoreRecordHandler` — internal base class that handles serialization/deserialization between user data models and store-specific formats, plus embedding generation for vector fields. Both `BaseVectorCollection` and `BaseVectorSearch` extend this.
- `BaseVectorCollection(VectorStoreRecordHandler)` — base for collections
- Uses `SupportsGetEmbeddings` instead of `EmbeddingGeneratorBase`
- Not a Pydantic model — use `__init__` with explicit params
- `upsert`, `get`, `delete`, `ensure_collection_exists`, `collection_exists`, `ensure_collection_deleted`
- Async context manager support
- `BaseVectorStore` — base for stores
- `get_collection`, `list_collection_names`, `collection_exists`, `ensure_collection_deleted`
- Async context manager support
#### 3.5 — Vector search base class
- `BaseVectorSearch(VectorStoreRecordHandler)` — base for vector search
- Single `search(search_type=...)` method with `search_type: Literal["vector", "keyword_hybrid"]` parameter — no enum, just a literal
- `_inner_search` abstract method for implementations
- Filter building with lambda parser (AST-based)
- Vector generation from values using embedding generator
#### 3.6 — Protocols for type checking
- `SupportsVectorUpsert` — Protocol for upsert/get/delete operations
- `SupportsVectorSearch` — Protocol for vector search (single `search()` with `search_type` parameter)
- No separate `SupportsVectorHybridSearch` — search type is a parameter, not a separate capability
- No protocol for `VectorStore` — it's a factory for collections, not a capability to duck-type against
#### 3.7 — Exception types
- Add vector store exceptions under `IntegrationException` or create new branch
- `VectorStoreException`, `VectorStoreOperationException`, `VectorSearchException`, `VectorStoreModelException`, etc.
#### 3.8 — `create_search_tool` on `BaseVectorSearch`
- Method on `BaseVectorSearch` that creates an AF `FunctionTool` from the vector search
- Wraps the single `search()` method, passing `search_type` parameter
- Accepts: `name`, `description`, `search_type`, `top`, `skip`, `filter`, `string_mapper`
- The tool takes a query string, vectorizes it, searches, and returns results as strings
- Can also be a standalone factory function in `_vectors.py`
#### 3.9 — Tests for all vector store abstractions
- Unit tests for enums, field types, collection definition
- Unit tests for decorator
- Unit tests for serialization/deserialization
- Unit tests for record handler
---
### Phase 4: In-Memory Vector Store
**Goal:** Provide a zero-dependency vector store for testing and development.
**Mergeable:** Yes — first usable vector store.
#### 4.1 — Port `InMemoryCollection` and `InMemoryStore` into core
- Place in `agent_framework/_vectors.py` (alongside the abstractions)
- Supports vector search (cosine similarity, etc.)
- No external dependencies
#### 4.2 — Port FAISS extension (optional, can be separate package)
- Extends InMemory with FAISS indexing
#### 4.3 — Tests and sample code
---
### Phase 5: Vector Store Connectors — Tier 1 (High Priority)
**Goal:** Ship the most commonly used vector store connectors.
**Mergeable:** Yes — each connector is independent.
Each connector follows the AF package structure:
- New package under `packages/`
- Own `pyproject.toml`, `tests/`, lazy loading in core
#### 5.1 — Azure AI Search (`packages/azure-ai-search/`)
- May extend existing package or be new
- `AzureAISearchCollection`, `AzureAISearchStore`
#### 5.2 — Qdrant (`packages/qdrant/`)
- New package
- `QdrantCollection`, `QdrantStore`
#### 5.3 — Redis (`packages/redis/`)
- May extend existing redis package
- `RedisCollection` (JSON + Hashset variants), `RedisStore`
#### 5.4 — PostgreSQL/pgvector (`packages/postgres/`)
- New package
- `PostgresCollection`, `PostgresStore`
---
### Phase 6: Vector Store Connectors — Tier 2
**Goal:** Ship remaining vector store connectors.
**Mergeable:** Yes — each connector is independent.
#### 6.1 — MongoDB Atlas (`packages/mongodb/`)
#### 6.2 — Azure Cosmos DB (`packages/azure-cosmos-db/`)
- Cosmos Mongo + Cosmos NoSQL
#### 6.3 — Pinecone (`packages/pinecone/`)
#### 6.4 — Chroma (`packages/chroma/`)
#### 6.5 — Weaviate (`packages/weaviate/`)
---
### Phase 7: Vector Store Connectors — Tier 3
**Goal:** Ship niche or less common connectors.
**Mergeable:** Yes — each connector is independent.
#### 7.1 — Oracle (`packages/oracle/`)
#### 7.2 — SQL Server (`packages/sql-server/`)
#### 7.3 — FAISS (`packages/faiss/` or in core extending InMemory)
> **Note:** When implementing any SQL-based connector (PostgreSQL, SQL Server, SQLite, Cosmos DB), review the .NET MEVD changes made by @roji (Shay Rojansky) in SK for design patterns, query building, filter translation, and feature parity: https://github.com/microsoft/semantic-kernel/pulls?q=is%3Apr+author%3Aroji+is%3Aclosed
---
### Phase 8: Vector Store CRUD Tools
**Goal:** Provide a full set of agent-usable tools for CRUD operations on vector store collections.
**Mergeable:** Yes — adds tools without changing existing APIs.
#### 8.1 — `create_upsert_tool` — tool for upserting records into a collection
#### 8.2 — `create_get_tool` — tool for retrieving records by key
- Key-based lookup only (by primary key), not a search tool
- Documentation must clearly distinguish this from `create_search_tool`: get_tool retrieves specific records by their known key, while search_tool performs similarity/filtered search across the collection
- Consider if this overlaps with filtered search and document when to use which
#### 8.3 — `create_delete_tool` — tool for deleting records by key
#### 8.4 — Tests and samples for CRUD tools
---
### Phase 9: Additional Embedding Implementations (New Providers)
**Goal:** Provide embedding generators for providers that don't yet have AF packages.
**Mergeable:** Yes — each is independent, new packages.
#### 9.1 — HuggingFace/ONNX embedding (new package or lab)
#### 9.2 — Mistral AI embedding (new package)
#### 9.3 — Google AI / Vertex AI embedding (new package)
#### 9.4 — Nvidia embedding (new package)
---
### Phase 10: TextSearch Abstractions & Implementations (Separate Work)
**Goal:** Port text search (non-vector) abstractions and implementations.
**Mergeable:** Yes — independent of vector stores.
#### 10.1 — TextSearch base class and types
- `SearchOptions`, `SearchResponse`, `TextSearchResult`
- `TextSearch` base class with `search()` method
- `create_search_function()` for kernel integration (may need AF equivalent)
#### 10.2 — Brave Search implementation
#### 10.3 — Google Search implementation
#### 10.4 — Vector store text search bridge (connecting VectorSearch to TextSearch interface)
---
## Key Considerations
1. **No Pydantic for internal classes**: All AF internal classes should use plain classes. Pydantic is only used for user-facing input validation (e.g., vector store data models).
2. **Protocol + Base class**: Follow AF's pattern of both a `Protocol` for duck-typing and a `Base` ABC for implementation, matching how `SupportsChatGetResponse` + `BaseChatClient` works.
3. **Exception hierarchy**: Use AF's `IntegrationException` branch for vector store operations, since vector stores are external dependencies.
4. **`from __future__ import annotations`**: Required in all files per AF coding standard.
5. **No `**kwargs` escape hatches in public APIs**: For user-facing interfaces, use explicit named parameters per AF coding standard. Internal implementation details (e.g., cooperative multiple inheritance / MRO patterns) may use `**kwargs` where necessary, as long as they are not exposed in public signatures.
6. **Lazy loading**: Connector packages use `__getattr__` lazy loading in core provider folders.
7. **Reusable data models**: The `@vectorstoremodel` decorator and `VectorStoreCollectionDefinition` should be agnostic enough to work with both SK and AF. The core types (`FieldTypes`, `IndexKind`, `DistanceFunction`, `VectorStoreField`) should be identical or easily mapped.
8. **`create_search_tool`**: The AF-native equivalent of SK's `create_search_function`. Instead of creating a `KernelFunction`, this creates an AF `FunctionTool` (via the `@tool` decorator pattern) from a vector search. This allows agents to use vector search as a tool during conversations. Design:
- `create_search_tool(name, description, search_type, ...)` → returns a `FunctionTool` that wraps `VectorSearch.search(search_type=...)`
- The tool accepts a query string, performs embedding + vector search, and returns results as strings
- Supports configurable string mappers, filter functions, top/skip defaults
- Lives in `_vectors.py` as a method on `BaseVectorSearch` and/or as a standalone factory function
9. **CRUD tools**: A full set of create/read/update/delete tools for vector store collections, allowing agents to manage data in vector stores. Design:
- `create_upsert_tool(...)` → tool for upserting records
- `create_get_tool(...)` → tool for retrieving records by key
- `create_delete_tool(...)` → tool for deleting records
- These are separate from search and are placed in a later phase
10. **Score threshold filtering**: `SearchOptions` includes `score_threshold: float | None` to filter search results by relevance score (ref: [SK .NET PR #13501](https://github.com/microsoft/semantic-kernel/pull/13501)). The semantics depend on the distance function: for similarity functions (cosine similarity, dot product), results *below* the threshold are filtered out; for distance functions (cosine distance, euclidean), results *above* the threshold are filtered out. Use `DISTANCE_FUNCTION_DIRECTION_HELPER` to determine direction. Connectors should implement this natively where the database supports it, falling back to client-side post-filtering otherwise.
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@@ -29,6 +29,7 @@ using types like `IChatClient`, `FunctionInvokingChatClient`, `AITool`, `AIFunct
## Key Conventions
- **Encoding**: All new files must be saved with UTF-8 encoding with BOM (Byte Order Mark). This is required for `dotnet format` to work correctly.
- **Copyright header**: `// Copyright (c) Microsoft. All rights reserved.` at top of all `.cs` files
- **XML docs**: Required for all public methods and classes
- **Async**: Use `Async` suffix for methods returning `Task`/`ValueTask`
+10 -8
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@@ -19,8 +19,8 @@
<PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0" />
<!-- Azure.* -->
<PackageVersion Include="Azure.AI.Projects" Version="1.2.0-beta.5" />
<PackageVersion Include="Azure.AI.Projects.OpenAI" Version="1.0.0-beta.5" />
<PackageVersion Include="Azure.AI.Projects" Version="2.0.0-beta.1" />
<PackageVersion Include="Azure.AI.Projects.OpenAI" Version="2.0.0-beta.1" />
<PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.8" />
<PackageVersion Include="Azure.AI.OpenAI" Version="2.8.0-beta.1" />
<PackageVersion Include="Azure.Identity" Version="1.17.1" />
@@ -35,7 +35,7 @@
<!-- System.* -->
<PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.3" />
<PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
<PackageVersion Include="System.ClientModel" Version="1.8.1" />
<PackageVersion Include="System.ClientModel" Version="1.9.0" />
<PackageVersion Include="System.CodeDom" Version="10.0.0" />
<PackageVersion Include="System.Collections.Immutable" Version="10.0.1" />
<PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
@@ -58,6 +58,8 @@
<PackageVersion Include="OpenTelemetry.Instrumentation.Http" Version="1.13.0" />
<PackageVersion Include="OpenTelemetry.Instrumentation.Runtime" Version="1.13.0" />
<!-- Microsoft.AspNetCore.* -->
<PackageVersion Include="Microsoft.AspNetCore.Authentication.JwtBearer" Version="10.0.0" />
<PackageVersion Include="Microsoft.AspNetCore.Authentication.OpenIdConnect" Version="10.0.0" />
<PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="10.0.0" />
<PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="10.0.0" />
<!-- Microsoft.Extensions.* -->
@@ -92,7 +94,7 @@
<PackageVersion Include="Microsoft.SemanticKernel.Agents.AzureAI" Version="1.67.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Plugins.OpenApi" Version="1.67.0" />
<!-- Agent SDKs -->
<PackageVersion Include="GitHub.Copilot.SDK" Version="0.1.23" />
<PackageVersion Include="GitHub.Copilot.SDK" Version="0.1.29" />
<PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.3.171-beta" />
<!-- M365 Agents SDK -->
<PackageVersion Include="AdaptiveCards" Version="3.1.0" />
@@ -111,9 +113,9 @@
<!-- Identity -->
<PackageVersion Include="Microsoft.Identity.Client.Extensions.Msal" Version="4.78.0" />
<!-- Workflows -->
<PackageVersion Include="Microsoft.Agents.ObjectModel" Version="2026.2.3.1" />
<PackageVersion Include="Microsoft.Agents.ObjectModel.Json" Version="2026.2.3.1" />
<PackageVersion Include="Microsoft.Agents.ObjectModel.PowerFx" Version="2026.2.3.1" />
<PackageVersion Include="Microsoft.Agents.ObjectModel" Version="2026.2.4.1" />
<PackageVersion Include="Microsoft.Agents.ObjectModel.Json" Version="2026.2.4.1" />
<PackageVersion Include="Microsoft.Agents.ObjectModel.PowerFx" Version="2026.2.4.1" />
<PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.8.1" />
<!-- Durable Task -->
<PackageVersion Include="Microsoft.DurableTask.Client" Version="1.18.0" />
@@ -185,4 +187,4 @@
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
</ItemGroup>
</Project>
</Project>
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@@ -1,11 +1,5 @@
# Get Started with Microsoft Agent Framework for C# Developers
## Samples
- [Getting Started with Agents](./samples/GettingStarted/Agents): basic agent creation and tool usage
- [Agent Provider Samples](./samples/GettingStarted/AgentProviders): samples showing different agent providers
- [Workflow Samples](./samples/GettingStarted/Workflows): advanced multi-agent patterns and workflow orchestration
## Quickstart
### Basic Agent - .NET
@@ -28,9 +22,9 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
## Examples & Samples
- [Getting Started with Agents](./samples/GettingStarted/Agents): basic agent creation and tool usage
- [Agent Provider Samples](./samples/GettingStarted/AgentProviders): samples showing different agent providers
- [Workflow Samples](./samples/GettingStarted/Workflows): advanced multi-agent patterns and workflow orchestration
- [Getting Started with Agents](./samples/02-agents/Agents): basic agent creation and tool usage
- [Agent Provider Samples](./samples/02-agents/AgentProviders): samples showing different agent providers
- [Workflow Samples](./samples/03-workflows): advanced multi-agent patterns and workflow orchestration
## Agent Framework Documentation
+256 -225
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@@ -5,221 +5,189 @@
<BuildType Name="Release" />
</Configurations>
<Folder Name="/Samples/">
<File Path="samples/AGENTS.md" />
<File Path="samples/README.md" />
</Folder>
<Folder Name="/Samples/A2AClientServer/">
<File Path="samples/A2AClientServer/README.md" />
<Project Path="samples/A2AClientServer/A2AClient/A2AClient.csproj" />
<Project Path="samples/A2AClientServer/A2AServer/A2AServer.csproj" />
<Folder Name="/Samples/01-get-started/">
<Project Path="samples/01-get-started/01_hello_agent/01_hello_agent.csproj" />
<Project Path="samples/01-get-started/02_add_tools/02_add_tools.csproj" />
<Project Path="samples/01-get-started/03_multi_turn/03_multi_turn.csproj" />
<Project Path="samples/01-get-started/04_memory/04_memory.csproj" />
<Project Path="samples/01-get-started/05_first_workflow/05_first_workflow.csproj" />
<Project Path="samples/01-get-started/06_host_your_agent/06_host_your_agent.csproj" />
</Folder>
<Folder Name="/Samples/AgentWebChat/">
<Project Path="samples/AgentWebChat/AgentWebChat.AgentHost/AgentWebChat.AgentHost.csproj" />
<Project Path="samples/AgentWebChat/AgentWebChat.AppHost/AgentWebChat.AppHost.csproj" />
<Project Path="samples/AgentWebChat/AgentWebChat.ServiceDefaults/AgentWebChat.ServiceDefaults.csproj" />
<Project Path="samples/AgentWebChat/AgentWebChat.Web/AgentWebChat.Web.csproj" />
<Folder Name="/Samples/02-agents/">
<File Path="samples/02-agents/README.md" />
</Folder>
<Folder Name="/Samples/AGUIClientServer/">
<Project Path="samples/AGUIClientServer/AGUIClient/AGUIClient.csproj" />
<Project Path="samples/AGUIClientServer/AGUIDojoServer/AGUIDojoServer.csproj" />
<Project Path="samples/AGUIClientServer/AGUIServer/AGUIServer.csproj" />
<Folder Name="/Samples/02-agents/AgentProviders/">
<File Path="samples/02-agents/AgentProviders/README.md" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_A2A/Agent_With_A2A.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_Anthropic/Agent_With_Anthropic.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/Agent_With_AzureAIAgentsPersistent.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_Ollama/Agent_With_Ollama.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_ONNX/Agent_With_ONNX.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIAssistants/Agent_With_OpenAIAssistants.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
</Folder>
<Folder Name="/Samples/Durable/" />
<Folder Name="/Samples/Durable/Agents/" />
<Folder Name="/Samples/Durable/Agents/AzureFunctions/">
<File Path="samples/Durable/Agents/AzureFunctions/.editorconfig" />
<File Path="samples/Durable/Agents/AzureFunctions/README.md" />
<Project Path="samples/Durable/Agents/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj" />
<Project Path="samples/Durable/Agents/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
<Project Path="samples/Durable/Agents/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
<Project Path="samples/Durable/Agents/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
<Project Path="samples/Durable/Agents/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
<Project Path="samples/Durable/Agents/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj" />
<Project Path="samples/Durable/Agents/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj" />
<Project Path="samples/Durable/Agents/AzureFunctions/08_ReliableStreaming/08_ReliableStreaming.csproj" />
<Folder Name="/Samples/02-agents/Agents/">
<File Path="samples/02-agents/Agents/README.md" />
<Project Path="samples/02-agents/Agents/Agent_Step01_UsingFunctionToolsWithApprovals/Agent_Step01_UsingFunctionToolsWithApprovals.csproj" />
<Project Path="samples/02-agents/Agents/Agent_Step02_StructuredOutput/Agent_Step02_StructuredOutput.csproj" />
<Project Path="samples/02-agents/Agents/Agent_Step03_PersistedConversations/Agent_Step03_PersistedConversations.csproj" />
<Project Path="samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Agent_Step04_3rdPartyChatHistoryStorage.csproj" />
<Project Path="samples/02-agents/Agents/Agent_Step05_Observability/Agent_Step05_Observability.csproj" />
<Project Path="samples/02-agents/Agents/Agent_Step06_DependencyInjection/Agent_Step06_DependencyInjection.csproj" />
<Project Path="samples/02-agents/Agents/Agent_Step07_AsMcpTool/Agent_Step07_AsMcpTool.csproj" />
<Project Path="samples/02-agents/Agents/Agent_Step08_UsingImages/Agent_Step08_UsingImages.csproj" />
<Project Path="samples/02-agents/Agents/Agent_Step09_AsFunctionTool/Agent_Step09_AsFunctionTool.csproj" />
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<Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step03_CustomMemory/AgentWithMemory_Step03_CustomMemory.csproj" />
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<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step15_ComputerUse/FoundryAgents_Step15_ComputerUse.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step19_OpenAPITools/FoundryAgents_Step19_OpenAPITools.csproj" />
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<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Evaluations_Step02_SelfReflection/FoundryAgents_Evaluations_Step02_SelfReflection.csproj" />
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<Project Path="samples/03-workflows/ConditionalEdges/02_SwitchCase/02_SwitchCase.csproj" />
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<Project Path="samples/GettingStarted/ModelContextProtocol/Agent_MCP_Server_Auth/Agent_MCP_Server_Auth.csproj" />
<Project Path="samples/GettingStarted/ModelContextProtocol/FoundryAgent_Hosted_MCP/FoundryAgent_Hosted_MCP.csproj" />
<Project Path="samples/GettingStarted/ModelContextProtocol/ResponseAgent_Hosted_MCP/ResponseAgent_Hosted_MCP.csproj" />
<Folder Name="/Samples/03-workflows/Declarative/">
<File Path="samples/03-workflows/Declarative/README.md" />
<Project Path="samples/03-workflows/Declarative/ConfirmInput/ConfirmInput.csproj" />
<Project Path="samples/03-workflows/Declarative/CustomerSupport/CustomerSupport.csproj" />
<Project Path="samples/03-workflows/Declarative/DeepResearch/DeepResearch.csproj" />
<Project Path="samples/03-workflows/Declarative/ExecuteCode/ExecuteCode.csproj" />
<Project Path="samples/03-workflows/Declarative/ExecuteWorkflow/ExecuteWorkflow.csproj" />
<Project Path="samples/03-workflows/Declarative/FunctionTools/FunctionTools.csproj" />
<Project Path="samples/03-workflows/Declarative/GenerateCode/GenerateCode.csproj" />
<Project Path="samples/03-workflows/Declarative/HostedWorkflow/HostedWorkflow.csproj" />
<Project Path="samples/03-workflows/Declarative/InputArguments/InputArguments.csproj" />
<Project Path="samples/03-workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.csproj" />
<Project Path="samples/03-workflows/Declarative/InvokeMcpTool/InvokeMcpTool.csproj" />
<Project Path="samples/03-workflows/Declarative/Marketing/Marketing.csproj" />
<Project Path="samples/03-workflows/Declarative/StudentTeacher/StudentTeacher.csproj" />
<Project Path="samples/03-workflows/Declarative/ToolApproval/ToolApproval.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Observability/">
<Project Path="samples/GettingStarted/AgentOpenTelemetry/AgentOpenTelemetry.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/">
<File Path="samples/GettingStarted/Workflows/README.md" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Concurrent/">
<Project Path="samples/GettingStarted/Workflows/Concurrent/Concurrent/Concurrent.csproj" />
<Project Path="samples/GettingStarted/Workflows/Concurrent/MapReduce/MapReduce.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/ConditionalEdges/">
<Project Path="samples/GettingStarted/Workflows/ConditionalEdges/01_EdgeCondition/01_EdgeCondition.csproj" />
<Project Path="samples/GettingStarted/Workflows/ConditionalEdges/02_SwitchCase/02_SwitchCase.csproj" />
<Project Path="samples/GettingStarted/Workflows/ConditionalEdges/03_MultiSelection/03_MultiSelection.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Declarative/">
<File Path="samples/GettingStarted/Workflows/Declarative/README.md" />
<Project Path="samples/GettingStarted/Workflows/Declarative/ConfirmInput/ConfirmInput.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/CustomerSupport/CustomerSupport.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/DeepResearch/DeepResearch.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/ExecuteCode/ExecuteCode.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/ExecuteWorkflow/ExecuteWorkflow.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/FunctionTools/FunctionTools.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/GenerateCode/GenerateCode.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/HostedWorkflow/HostedWorkflow.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/InputArguments/InputArguments.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/Marketing/Marketing.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/StudentTeacher/StudentTeacher.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/ToolApproval/ToolApproval.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Declarative/Examples/">
<Folder Name="/Samples/03-workflows/Declarative/Examples/">
<File Path="../workflow-samples/CustomerSupport.yaml" />
<File Path="../workflow-samples/DeepResearch.yaml" />
<File Path="../workflow-samples/Marketing.yaml" />
@@ -227,60 +195,114 @@
<File Path="../workflow-samples/README.md" />
<File Path="../workflow-samples/wttr.json" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/SharedStates/">
<Project Path="samples/GettingStarted/Workflows/SharedStates/SharedStates.csproj" />
<Folder Name="/Samples/03-workflows/SharedStates/">
<Project Path="samples/03-workflows/SharedStates/SharedStates.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Loop/">
<Project Path="samples/GettingStarted/Workflows/Loop/Loop.csproj" />
<Folder Name="/Samples/03-workflows/Loop/">
<Project Path="samples/03-workflows/Loop/Loop.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Agents/">
<Project Path="samples/GettingStarted/Workflows/Agents/CustomAgentExecutors/CustomAgentExecutors.csproj" />
<Project Path="samples/GettingStarted/Workflows/Agents/FoundryAgent/FoundryAgent.csproj" />
<Project Path="samples/GettingStarted/Workflows/Agents/GroupChatToolApproval/GroupChatToolApproval.csproj" />
<Project Path="samples/GettingStarted/Workflows/Agents/WorkflowAsAnAgent/WorkflowAsAnAgent.csproj" />
<Folder Name="/Samples/03-workflows/Agents/">
<Project Path="samples/03-workflows/Agents/CustomAgentExecutors/CustomAgentExecutors.csproj" />
<Project Path="samples/03-workflows/Agents/FoundryAgent/FoundryAgent.csproj" />
<Project Path="samples/03-workflows/Agents/GroupChatToolApproval/GroupChatToolApproval.csproj" />
<Project Path="samples/03-workflows/Agents/WorkflowAsAnAgent/WorkflowAsAnAgent.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Checkpoint/">
<Project Path="samples/GettingStarted/Workflows/Checkpoint/CheckpointAndRehydrate/CheckpointAndRehydrate.csproj" />
<Project Path="samples/GettingStarted/Workflows/Checkpoint/CheckpointAndResume/CheckpointAndResume.csproj" />
<Project Path="samples/GettingStarted/Workflows/Checkpoint/CheckpointWithHumanInTheLoop/CheckpointWithHumanInTheLoop.csproj" />
<Folder Name="/Samples/03-workflows/Checkpoint/">
<Project Path="samples/03-workflows/Checkpoint/CheckpointAndRehydrate/CheckpointAndRehydrate.csproj" />
<Project Path="samples/03-workflows/Checkpoint/CheckpointAndResume/CheckpointAndResume.csproj" />
<Project Path="samples/03-workflows/Checkpoint/CheckpointWithHumanInTheLoop/CheckpointWithHumanInTheLoop.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/HumanInTheLoop/">
<Project Path="samples/GettingStarted/Workflows/HumanInTheLoop/HumanInTheLoopBasic/HumanInTheLoopBasic.csproj" />
<Folder Name="/Samples/03-workflows/HumanInTheLoop/">
<Project Path="samples/03-workflows/HumanInTheLoop/HumanInTheLoopBasic/HumanInTheLoopBasic.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Observability/">
<Project Path="samples/GettingStarted/Workflows/Observability/ApplicationInsights/ApplicationInsights.csproj" />
<Project Path="samples/GettingStarted/Workflows/Observability/AspireDashboard/AspireDashboard.csproj" />
<Project Path="samples/GettingStarted/Workflows/Observability/WorkflowAsAnAgent/WorkflowAsAnAgentObservability.csproj" />
<Folder Name="/Samples/03-workflows/Observability/">
<Project Path="samples/03-workflows/Observability/ApplicationInsights/ApplicationInsights.csproj" />
<Project Path="samples/03-workflows/Observability/AspireDashboard/AspireDashboard.csproj" />
<Project Path="samples/03-workflows/Observability/WorkflowAsAnAgent/WorkflowAsAnAgentObservability.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Visualization/">
<Project Path="samples/GettingStarted/Workflows/Visualization/Visualization.csproj" />
<Folder Name="/Samples/03-workflows/Visualization/">
<Project Path="samples/03-workflows/Visualization/Visualization.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/_Foundational/">
<Project Path="samples/GettingStarted/Workflows/_Foundational/01_ExecutorsAndEdges/01_ExecutorsAndEdges.csproj" />
<Project Path="samples/GettingStarted/Workflows/_Foundational/02_Streaming/02_Streaming.csproj" />
<Project Path="samples/GettingStarted/Workflows/_Foundational/03_AgentsInWorkflows/03_AgentsInWorkflows.csproj" />
<Project Path="samples/GettingStarted/Workflows/_Foundational/04_AgentWorkflowPatterns/04_AgentWorkflowPatterns.csproj" />
<Project Path="samples/GettingStarted/Workflows/_Foundational/05_MultiModelService/05_MultiModelService.csproj" />
<Project Path="samples/GettingStarted/Workflows/_Foundational/06_SubWorkflows/06_SubWorkflows.csproj" />
<Project Path="samples/GettingStarted/Workflows/_Foundational/07_MixedWorkflowAgentsAndExecutors/07_MixedWorkflowAgentsAndExecutors.csproj" />
<Project Path="samples/GettingStarted/Workflows/_Foundational/08_WriterCriticWorkflow/08_WriterCriticWorkflow.csproj" />
<Folder Name="/Samples/03-workflows/_StartHere/">
<Project Path="samples/03-workflows/_StartHere/01_Streaming/01_Streaming.csproj" />
<Project Path="samples/03-workflows/_StartHere/02_AgentsInWorkflows/02_AgentsInWorkflows.csproj" />
<Project Path="samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/03_AgentWorkflowPatterns.csproj" />
<Project Path="samples/03-workflows/_StartHere/04_MultiModelService/04_MultiModelService.csproj" />
<Project Path="samples/03-workflows/_StartHere/05_SubWorkflows/05_SubWorkflows.csproj" />
<Project Path="samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/06_MixedWorkflowAgentsAndExecutors.csproj" />
<Project Path="samples/03-workflows/_StartHere/07_WriterCriticWorkflow/07_WriterCriticWorkflow.csproj" />
</Folder>
<Folder Name="/Samples/HostedAgents/">
<Project Path="samples/HostedAgents/AgentsInWorkflows/AgentsInWorkflows.csproj" />
<Project Path="samples/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj" />
<Project Path="samples/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
<Folder Name="/Samples/04-hosting/" />
<Folder Name="/Samples/04-hosting/DurableAgents/" />
<Folder Name="/Samples/04-hosting/DurableAgents/AzureFunctions/">
<File Path="samples/04-hosting/DurableAgents/AzureFunctions/.editorconfig" />
<File Path="samples/04-hosting/DurableAgents/AzureFunctions/README.md" />
<Project Path="samples/04-hosting/DurableAgents/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj" />
<Project Path="samples/04-hosting/DurableAgents/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
<Project Path="samples/04-hosting/DurableAgents/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
<Project Path="samples/04-hosting/DurableAgents/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
<Project Path="samples/04-hosting/DurableAgents/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
<Project Path="samples/04-hosting/DurableAgents/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj" />
<Project Path="samples/04-hosting/DurableAgents/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj" />
<Project Path="samples/04-hosting/DurableAgents/AzureFunctions/08_ReliableStreaming/08_ReliableStreaming.csproj" />
</Folder>
<Folder Name="/Samples/M365Agent/">
<Project Path="samples/M365Agent/M365Agent.csproj" />
<Folder Name="/Samples/04-hosting/DurableAgents/ConsoleApps/">
<File Path="samples/04-hosting/DurableAgents/ConsoleApps/README.md" />
<Project Path="samples/04-hosting/DurableAgents/ConsoleApps/01_SingleAgent/01_SingleAgent.csproj" />
<Project Path="samples/04-hosting/DurableAgents/ConsoleApps/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
<Project Path="samples/04-hosting/DurableAgents/ConsoleApps/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
<Project Path="samples/04-hosting/DurableAgents/ConsoleApps/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
<Project Path="samples/04-hosting/DurableAgents/ConsoleApps/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
<Project Path="samples/04-hosting/DurableAgents/ConsoleApps/06_LongRunningTools/06_LongRunningTools.csproj" />
<Project Path="samples/04-hosting/DurableAgents/ConsoleApps/07_ReliableStreaming/07_ReliableStreaming.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/A2A/">
<File Path="samples/04-hosting/A2A/README.md" />
<Project Path="samples/04-hosting/A2A/A2AAgent_AsFunctionTools/A2AAgent_AsFunctionTools.csproj" />
<Project Path="samples/04-hosting/A2A/A2AAgent_PollingForTaskCompletion/A2AAgent_PollingForTaskCompletion.csproj" />
</Folder>
<Folder Name="/Samples/05-end-to-end/">
<Project Path="samples/05-end-to-end/AgentWithPurview/AgentWithPurview.csproj" />
<Project Path="samples/05-end-to-end/M365Agent/M365Agent.csproj" />
</Folder>
<Folder Name="/Samples/05-end-to-end/A2AClientServer/">
<File Path="samples/05-end-to-end/A2AClientServer/README.md" />
<Project Path="samples/05-end-to-end/A2AClientServer/A2AClient/A2AClient.csproj" />
<Project Path="samples/05-end-to-end/A2AClientServer/A2AServer/A2AServer.csproj" />
</Folder>
<Folder Name="/Samples/05-end-to-end/AgentWebChat/">
<Project Path="samples/05-end-to-end/AgentWebChat/AgentWebChat.AgentHost/AgentWebChat.AgentHost.csproj" />
<Project Path="samples/05-end-to-end/AgentWebChat/AgentWebChat.AppHost/AgentWebChat.AppHost.csproj" />
<Project Path="samples/05-end-to-end/AgentWebChat/AgentWebChat.ServiceDefaults/AgentWebChat.ServiceDefaults.csproj" />
<Project Path="samples/05-end-to-end/AgentWebChat/AgentWebChat.Web/AgentWebChat.Web.csproj" />
</Folder>
<Folder Name="/Samples/05-end-to-end/AGUIClientServer/">
<File Path="samples/05-end-to-end/AGUIClientServer/README.md" />
<Project Path="samples/05-end-to-end/AGUIClientServer/AGUIClient/AGUIClient.csproj" />
<Project Path="samples/05-end-to-end/AGUIClientServer/AGUIDojoServer/AGUIDojoServer.csproj" />
<Project Path="samples/05-end-to-end/AGUIClientServer/AGUIServer/AGUIServer.csproj" />
</Folder>
<Folder Name="/Samples/05-end-to-end/HostedAgents/">
<Project Path="samples/05-end-to-end/HostedAgents/AgentsInWorkflows/AgentsInWorkflows.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
</Folder>
<Folder Name="/Samples/05-end-to-end/AspNetAgentAuthorization/">
<File Path="samples/05-end-to-end/AspNetAgentAuthorization/docker-compose.yml" />
<File Path="samples/05-end-to-end/AspNetAgentAuthorization/README.md" />
<Project Path="samples/05-end-to-end/AspNetAgentAuthorization/Service/Service.csproj" />
<Project Path="samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/RazorWebClient.csproj" />
</Folder>
<Folder Name="/Solution Items/">
<File Path=".editorconfig" />
<File Path=".gitignore" />
<File Path="AGENTS.md" />
<File Path="Directory.Build.props" />
<File Path="Directory.Build.targets" />
<File Path="Directory.Packages.props" />
<File Path="global.json" />
<File Path="nuget.config" />
<File Path="README.md" />
</Folder>
<Folder Name="/Solution Items/.github/" />
<Folder Name="/Solution Items/.github/upgrades/" />
@@ -312,6 +334,10 @@
<File Path="../docs/decisions/0012-python-typeddict-options.md" />
<File Path="../docs/decisions/0013-python-get-response-simplification.md" />
<File Path="../docs/decisions/0014-feature-collections.md" />
<File Path="../docs/decisions/0015-agent-run-context.md" />
<File Path="../docs/decisions/0016-python-context-middleware.md" />
<File Path="../docs/decisions/0017-agent-additional-properties.md" />
<File Path="../docs/decisions/0018-agentthread-serialization.md" />
<File Path="../docs/decisions/adr-short-template.md" />
<File Path="../docs/decisions/adr-template.md" />
<File Path="../docs/decisions/README.md" />
@@ -417,6 +443,7 @@
<Project Path="src/Microsoft.Agents.AI.Declarative/Microsoft.Agents.AI.Declarative.csproj" />
<Project Path="src/Microsoft.Agents.AI.DevUI/Microsoft.Agents.AI.DevUI.csproj" />
<Project Path="src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj" />
<Project Path="src/Microsoft.Agents.AI.FoundryMemory/Microsoft.Agents.AI.FoundryMemory.csproj" />
<Project Path="src/Microsoft.Agents.AI.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.A2A.AspNetCore/Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.A2A/Microsoft.Agents.AI.Hosting.A2A.csproj" />
@@ -428,6 +455,7 @@
<Project Path="src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Purview/Microsoft.Agents.AI.Purview.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.AzureAI/Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.Mcp/Microsoft.Agents.AI.Workflows.Declarative.Mcp.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative/Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Generators/Microsoft.Agents.AI.Workflows.Generators.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows/Microsoft.Agents.AI.Workflows.csproj" />
@@ -441,6 +469,7 @@
<Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" />
<Project Path="tests/CopilotStudio.IntegrationTests/CopilotStudio.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.FoundryMemory.IntegrationTests/Microsoft.Agents.AI.FoundryMemory.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj" />
@@ -461,6 +490,7 @@
<Project Path="tests/Microsoft.Agents.AI.Declarative.UnitTests/Microsoft.Agents.AI.Declarative.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DevUI.UnitTests/Microsoft.Agents.AI.DevUI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.FoundryMemory.UnitTests/Microsoft.Agents.AI.FoundryMemory.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.A2A.UnitTests/Microsoft.Agents.AI.Hosting.A2A.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests.csproj" />
@@ -471,6 +501,7 @@
<Project Path="tests/Microsoft.Agents.AI.OpenAI.UnitTests/Microsoft.Agents.AI.OpenAI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Purview.UnitTests/Microsoft.Agents.AI.Purview.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.UnitTests/Microsoft.Agents.AI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.Mcp.UnitTests/Microsoft.Agents.AI.Workflows.Declarative.Mcp.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Workflows.Generators.UnitTests/Microsoft.Agents.AI.Workflows.Generators.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Workflows.UnitTests/Microsoft.Agents.AI.Workflows.UnitTests.csproj" />
+4 -4
View File
@@ -2,11 +2,11 @@
<PropertyGroup>
<!-- Central version prefix - applies to all nuget packages. -->
<VersionPrefix>1.0.0</VersionPrefix>
<RCNumber>1</RCNumber>
<RCNumber>3</RCNumber>
<PackageVersion Condition="'$(IsReleaseCandidate)' == 'true'">$(VersionPrefix)-rc$(RCNumber)</PackageVersion>
<PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260219.1</PackageVersion>
<PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260219.1</PackageVersion>
<GitTag>1.0.0-rc1</GitTag>
<PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260304.1</PackageVersion>
<PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260304.1</PackageVersion>
<GitTag>1.0.0-rc3</GitTag>
<Configurations>Debug;Release;Publish</Configurations>
<IsPackable>true</IsPackable>
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,21 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -89,10 +89,10 @@ namespace SampleApp
internal sealed class UserInfoMemory : AIContextProvider
{
private readonly ProviderSessionState<UserInfo> _sessionState;
private IReadOnlyList<string>? _stateKeys;
private readonly IChatClient _chatClient;
public UserInfoMemory(IChatClient chatClient, Func<AgentSession?, UserInfo>? stateInitializer = null)
: base(null, null)
{
this._sessionState = new ProviderSessionState<UserInfo>(
stateInitializer ?? (_ => new UserInfo()),
@@ -100,7 +100,7 @@ namespace SampleApp
this._chatClient = chatClient;
}
public override string StateKey => this._sessionState.StateKey;
public override IReadOnlyList<string> StateKeys => this._stateKeys ??= [this._sessionState.StateKey];
public UserInfo GetUserInfo(AgentSession session)
=> this._sessionState.GetOrInitializeState(session);
@@ -0,0 +1,14 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,31 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<AzureFunctionsVersion>v4</AzureFunctionsVersion>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>HostedAgent</AssemblyName>
<RootNamespace>HostedAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<FrameworkReference Include="Microsoft.AspNetCore.App" />
</ItemGroup>
<!-- Azure Functions packages -->
<ItemGroup>
<PackageReference Include="Microsoft.Azure.Functions.Worker" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,45 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to host an AI agent with Azure Functions (DurableAgents).
//
// Prerequisites:
// - Azure Functions Core Tools
// - Azure OpenAI resource
//
// Environment variables:
// AZURE_OPENAI_ENDPOINT
// AZURE_OPENAI_DEPLOYMENT_NAME (defaults to "gpt-4o-mini")
//
// Run with: func start
// Then call: POST http://localhost:7071/api/agents/HostedAgent/run
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.Hosting;
using OpenAI.Chat;
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
// Set up an AI agent following the standard Microsoft Agent Framework pattern.
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
.GetChatClient(deploymentName)
.AsAIAgent(
instructions: "You are a helpful assistant hosted in Azure Functions.",
name: "HostedAgent");
// Configure the function app to host the AI agent.
// This will automatically generate HTTP API endpoints for the agent.
using IHost app = FunctionsApplication
.CreateBuilder(args)
.ConfigureFunctionsWebApplication()
.ConfigureDurableAgents(options => options.AddAIAgent(agent, timeToLive: TimeSpan.FromHours(1)))
.Build();
app.Run();
@@ -7,7 +7,7 @@ using Anthropic.Foundry;
using Azure.Identity;
using Microsoft.Agents.AI;
string deploymentName = Environment.GetEnvironmentVariable("ANTHROPIC_DEPLOYMENT_NAME") ?? "claude-haiku-4-5";
string deploymentName = Environment.GetEnvironmentVariable("ANTHROPIC_CHAT_MODEL_NAME") ?? "claude-haiku-4-5";
// The resource is the subdomain name / first name coming before '.services.ai.azure.com' in the endpoint Uri
// ie: https://(resource name).services.ai.azure.com/anthropic/v1/chat/completions
@@ -22,7 +22,7 @@ Set the following environment variables:
```powershell
$env:ANTHROPIC_API_KEY="your-anthropic-api-key" # Replace with your Anthropic API key
$env:ANTHROPIC_DEPLOYMENT_NAME="claude-haiku-4-5" # Optional, defaults to claude-haiku-4-5
$env:ANTHROPIC_CHAT_MODEL_NAME="claude-haiku-4-5" # Optional, defaults to claude-haiku-4-5
```
### For Azure Foundry with API Key
@@ -35,7 +35,7 @@ Set the following environment variables:
```powershell
$env:ANTHROPIC_RESOURCE="your-foundry-resource-name" # Replace with your Azure Foundry resource name (subdomain before .services.ai.azure.com)
$env:ANTHROPIC_API_KEY="your-anthropic-api-key" # Replace with your Anthropic API key
$env:ANTHROPIC_DEPLOYMENT_NAME="claude-haiku-4-5" # Optional, defaults to claude-haiku-4-5
$env:ANTHROPIC_CHAT_MODEL_NAME="claude-haiku-4-5" # Optional, defaults to claude-haiku-4-5
```
### For Azure Foundry with Azure CLI
@@ -47,7 +47,7 @@ Set the following environment variables:
```powershell
$env:ANTHROPIC_RESOURCE="your-foundry-resource-name" # Replace with your Azure Foundry resource name (subdomain before .services.ai.azure.com)
$env:ANTHROPIC_DEPLOYMENT_NAME="claude-haiku-4-5" # Optional, defaults to claude-haiku-4-5
$env:ANTHROPIC_CHAT_MODEL_NAME="claude-haiku-4-5" # Optional, defaults to claude-haiku-4-5
```
**Note**: When using Azure Foundry with Azure CLI, make sure you're logged in with `az login` and have access to the Azure Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
@@ -6,8 +6,8 @@ using Azure.AI.Agents.Persistent;
using Azure.Identity;
using Microsoft.Agents.AI;
var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
const string JokerName = "Joker";
const string JokerInstructions = "You are good at telling jokes.";
@@ -21,6 +21,6 @@ Before you begin, ensure you have the following prerequisites:
Set the following environment variables:
```powershell
$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
```
@@ -7,8 +7,8 @@ using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
const string JokerName = "JokerAgent";
@@ -21,6 +21,6 @@ Before you begin, ensure you have the following prerequisites:
Set the following environment variables:
```powershell
$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
```
@@ -11,9 +11,9 @@ using Microsoft.Agents.AI;
using OpenAI;
using OpenAI.Chat;
var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_OPENAI_ENDPOINT is not set.");
var apiKey = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_OPENAI_API_KEY");
var model = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_MODEL_DEPLOYMENT") ?? "Phi-4-mini-instruct";
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var apiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
var model = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "Phi-4-mini-instruct";
// Since we are using the OpenAI Client SDK, we need to override the default endpoint to point to Azure Foundry.
var clientOptions = new OpenAIClientOptions() { Endpoint = new Uri(endpoint) };
@@ -13,7 +13,7 @@ Before you begin, ensure you have the following prerequisites:
- .NET 10 SDK or later
- Azure AI Foundry resource
- A model deployment in your Azure AI Foundry resource. This example defaults to using the `Phi-4-mini-instruct` model,
so if you want to use a different model, ensure that you set your `AZURE_FOUNDRY_MODEL_DEPLOYMENT` environment
so if you want to use a different model, ensure that you set your `AZURE_AI_MODEL_DEPLOYMENT_NAME` environment
variable to the name of your deployed model.
- An API key or role based authentication to access the Azure AI Foundry resource
@@ -24,11 +24,11 @@ Set the following environment variables:
```powershell
# Replace with your Azure AI Foundry resource endpoint
# Ensure that you have the "/openai/v1/" path in the URL, since this is required when using the OpenAI SDK to access Azure Foundry models.
$env:AZURE_FOUNDRY_OPENAI_ENDPOINT="https://ai-foundry-<myresourcename>.services.ai.azure.com/openai/v1/"
$env:AZURE_OPENAI_ENDPOINT="https://ai-foundry-<myresourcename>.services.ai.azure.com/openai/v1/"
# Optional, defaults to using Azure CLI for authentication if not provided
$env:AZURE_FOUNDRY_OPENAI_API_KEY="************"
$env:AZURE_OPENAI_API_KEY="************"
# Optional, defaults to Phi-4-mini-instruct
$env:AZURE_FOUNDRY_MODEL_DEPLOYMENT="Phi-4-mini-instruct"
$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="Phi-4-mini-instruct"
```

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