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205 Commits

Author SHA1 Message Date
Tao Chen 9e4e4a8fab Fix typing 2026-06-22 08:42:23 -07:00
Tao Chen 7b5ef68abc Merge branch 'main' into local-branch-5559 2026-06-22 08:25:44 -07:00
Eduard van Valkenburg a7381d8bef Python: stabilize dependency maintenance final checks (#6662)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-22 14:23:29 +00:00
westey d108d4b549 Python: [BREAKING] Integrate looping into HarnessAgent (#6607)
* Integrate looping into harness

* Address PR comments

* Address PR comments.

* Fix typing error
2026-06-22 13:14:30 +00:00
Eduard van Valkenburg fd160a7782 Python: fix dependency maintenance cutoff (#6658)
* Python: fix dependency maintenance cutoff

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

* Python: fix Hyperlight output dir typing

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-22 11:46:26 +00:00
Copilot ad3c1535c4 fix: propagate EnableSensitiveData to auto-wired inner OpenTelemetryChatClient (#6096)
When _autoWireChatClient=true and the caller sets EnableSensitiveData=true on
the outer OpenTelemetryAgent, the auto-wired inner OpenTelemetryChatClient now
also has EnableSensitiveData propagated, so the inner chat span correctly
captures message content (gen_ai.input.messages / gen_ai.output.messages).

Red test added first to reproduce the bug, then the fix applied (green).

Fixes #5873

Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/fda69dd4-9576-4f3f-b954-514321652ea9

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
2026-06-22 10:27:13 +00:00
安妮的心动录 10b7d08bff .NET: fix(hosting): emit url_citation annotation events from streamed AI Search responses (#6649)
* fix(hosting): emit url_citation annotation events from streamed AI Search responses

OutputConverter.ConvertUpdatesToEventsAsync accumulated text content deltas but
silently dropped CitationAnnotation metadata from TextContent.Annotations. As a
result, hosted agents that use CreateAzureAISearchTool emitted citation markers in
text (e.g. 【5:0†source】) but produced empty annotations arrays and no
response.output_text.annotation.added SSE events.

The fix accumulates UrlCitationBody SDK annotations across all TextContent updates
for a message and emits them via TextContentBuilder.EmitAnnotationAdded after
EmitTextDone (as required by the SDK lifecycle) and before EmitDone. Non-citation
and region-less annotations are silently skipped, matching the existing OpenAI
ChatCompletions path in AgentResponseExtensions.

Adds 7 unit tests (N-01–N-07) covering: basic emission, ordering constraints,
multiple annotations, multi-update accumulation, and skip conditions.

Fixes #6641

* test: convert annotation test comments to XmlDoc and group in region

* fix: remove redundant long casts on annotation region indices

* test: assert done events carry url_citation annotation metadata

---------

Co-authored-by: Roger Barreto <19890735+RogerBarreto@users.noreply.github.com>
2026-06-22 10:10:02 +00:00
Eduard van Valkenburg fc3111c391 Python: Add FoundryAgent conversation session helper (#6623)
* Add FoundryAgent conversation session helper

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

* Simplify Foundry conversation session helper

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

* Rename Foundry conversation helper

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

* use named kw

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-22 08:41:15 +00:00
Roger Barreto 098e521586 .NET: Bring Hosted-Toolbox sample to parity with sibling hosting samples (#6633)
* Bring Hosted-Toolbox sample to parity with sibling hosting samples

Adds the standard scaffolding files (.env.example, agent.yaml, agent.manifest.yaml,
Dockerfile, Dockerfile.contributor) that every other 04-hosting Foundry sample ships
but Hosted-Toolbox lacked.

Fixes the toolbox name environment variable: reads TOOLBOX_NAME instead of the
platform reserved FOUNDRY_TOOLBOX_NAME so it survives agent create, and aligns the
default to my-toolset.

Rewrites the README to the standard section layout with PowerShell fenced commands,
and adds Using-Samples READMEs documenting why the client REPLs exist.

Renames Azure AI Foundry to Foundry across the 04-hosting sample READMEs and comments
for consistent product naming.

* Address PR review: accurate docs and TOOLBOX_NAME in ToolboxMcpSkills

- SimpleAgent README: correct the demo banner to the real per-agent URL the
  client prints (https scheme and the /api/projects/<project> segment).
- Hosted-Toolbox Program.cs: move FOUNDRY_MODEL out of the Required block into
  Optional since it has a gpt-4o default and an AZURE_AI_MODEL_DEPLOYMENT_NAME
  fallback.
- Hosted-ToolboxMcpSkills: switch the toolbox name from the reserved
  FOUNDRY_TOOLBOX_NAME to TOOLBOX_NAME across Program.cs, .env.example,
  agent.yaml, agent.manifest.yaml and README so it is deployable via the
  manifest, matching the other toolbox samples.
2026-06-20 09:31:19 +00:00
Eduard van Valkenburg 7435dd48d0 Python: harden Hyperlight output capture against symlinks (#6601)
* Python: harden Hyperlight output capture against symlinks

Mirror the input-staging symlink hardening on the output-capture path of
HyperlightExecuteCodeTool. Output discovery now walks via the symlink-safe
_iter_real_entries instead of rglob, per-file collection validates that no
path component is a symlink and the final entry is a regular file, and file
reads use os.O_NOFOLLOW. Adds regression tests for the output path.

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

* Address review: reject traversal, fix listing test, harden read

- _is_safe_output_file now rejects '.'/'..' components (lexical relative_to
  could otherwise escape root without a symlink)
- _read_output_file_bytes adds a cross-platform TOCTOU guard (lstat/fstat
  st_dev+st_ino identity check) since O_NOFOLLOW is absent on Windows
- fix intermediate-dir-symlink test to use a relative listing path so it
  exercises normalization + validation; add a parent-traversal unit test

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-19 22:43:38 +00:00
Ahmed Muhsin 148f57020a Python: host MAF workflows on a standalone Durable Task worker (#6418)
* feat(durabletask): host MAF workflows on a standalone Durable Task worker

Add a host-agnostic workflow execution engine to agent-framework-durabletask so a MAF Workflow can run as a durable orchestration outside Azure Functions:

- WorkflowOrchestrationContext protocol + DurableTaskWorkflowContext adapter, the superstep orchestrator, serialization helpers, capturing runner context, and the shared non-agent activity body (including the yield-output classifier so intermediate executors are not surfaced as final outputs).

- DurableAIAgentWorker.configure_workflow auto-registers agent executors as entities, non-agent executors as activities, and the workflow orchestrator.

- plan_workflow_registration centralizes the 'what to register' decision so it can be shared across hosts.

- run_agent_coroutine runs all agent coroutines on one persistent event loop, fixing a cross-loop hang when shared chat clients/credentials bind their asyncio primitives to a dead loop.

- DurableWorkflowClient (start/await workflow + HITL discover/respond); DurableAIAgentClient stays agent-only.

* refactor(azurefunctions): delegate workflow execution to agent-framework-durabletask

AgentFunctionApp now reuses the shared orchestrator, activity body, and registration planner from agent_framework_durabletask instead of maintaining its own copies; _workflow.py becomes a thin host-specific adapter (AzureFunctionsWorkflowContext).

- Run agent entity coroutines on the shared persistent event loop, fixing the cross-loop hang.

- Relocate state-diff unit tests to the durabletask package; update entity loop tests.

* feat(core): expose durabletask workflow symbols via agent_framework.azure

Lazily re-export WORKFLOW_ORCHESTRATOR_NAME and DurableWorkflowClient from the agent_framework.azure namespace so standalone hosts can import them without depending on internal module paths.

* docs(samples): add standalone durabletask workflow and HITL samples

Add two samples under samples/04-hosting/durabletask demonstrating MAF workflows on a standalone Durable Task worker (no Azure Functions):

- 08_workflow: conditional spam-detection workflow started via DurableWorkflowClient.start_workflow / await_workflow_output.

- 09_workflow_hitl: content-moderation workflow that pauses with ctx.request_info and is resumed via DurableWorkflowClient.get_pending_hitl_requests / send_hitl_response.

Also add the durabletask workflow integration test (test_08_dt_workflow).

* fix: address PR review feedback

- Sanitize HITL external-event responses with strip_pickle_markers in the orchestrator (defense-in-depth for callers that bypass DurableWorkflowClient).

- Raise WorkflowConvergenceException when max_iterations is reached with pending messages, matching the core WorkflowRunner instead of silently returning partial output.

- Route falsy 'sent' messages (use 'is not None' instead of truthiness).

- Normalize None shared_state_snapshot/source_executor_ids in execute_workflow_activity.

- Cast Any returns in AzureFunctionsWorkflowContext to satisfy mypy/pyright.

- Fix sample docstrings to reference DurableWorkflowClient.

* fix: resolve pyright Package Checks errors

- Use typed locals instead of cast in AzureFunctionsWorkflowContext (mypy sees Any, pyright sees concrete types -> avoid reportUnnecessaryCast).

- Annotate shared_state_snapshot and cast partially-typed durabletask SDK returns / HITL custom-status parsing to satisfy reportUnknownVariableType/reportUnknownMemberType.

- Drop the dead deserialize/serialize re-export in _workflow.py and mark the intentional private _extract_message_content re-export.

* fix(durabletask): agent-executor identity and typed workflow input

Register each workflow agent entity under the executor id that the orchestrator dispatches to (instead of the agent name), so AgentExecutor(agent, id=...) works when the id differs from agent.name. The azure-functions host mirrors this.

Reconstruct the start executor declared input type from the workflow initial JSON payload in the shared engine (mirroring in-process delivery) instead of string-coercing it per host. Untrusted input is stripped of pickle markers before reconstruction to prevent deserialization RCE.

* fix(samples): type durable workflow start executors for reconstructed input

The HITL and parallel workflow samples no longer hand-parse a JSON string. Their start executors now declare their real input type (ContentSubmission / DocumentInput), which the durable engine reconstructs from the client payload before delivery.

* test(durabletask): unit coverage for registration, client, worker, and input coercion

Add unit tests for plan_workflow_registration, DurableWorkflowClient, the agent-executor identity registration (entity keyed by executor id), and the typed initial-input coercion including pickle-marker neutralization.

* test(durabletask): HITL and parallel durable workflow integration tests

Add an integration test for the standalone durabletask HITL workflow sample via a new workflow_client fixture. Re-enable the Azure Functions parallel workflow test, consolidated into one end-to-end case so the work-stealing xdist scheduler cannot spawn multiple func hosts for this sample.

* refactor(durabletask): group workflow modules into a _workflows subpackage

Move the eight workflow modules into a private _workflows/ subpackage and drop the redundant _workflow_ prefix (orchestrator.py, registration.py, activity.py, client.py, context.py, dt_context.py, runner_context.py, serialization.py). The public API and __all__ are unchanged; only direct internal-module imports were repointed (package __init__, the worker, the azure-functions shared shim, and the affected unit tests).

* fix(durabletask): harden workflow type resolution and HITL response handling

- resolve_type returns only real classes (avoids issubclass TypeError in reconstruct_to_type)

- re-wait on HITL responses rejected by pickle-marker sanitization instead of dropping the request and losing the run

- American spelling in strip_pickle_markers docstring

- unit tests for resolve_type

* fix(durabletask): treat async edge conditions as not-matched on the synchronous host

The durabletask orchestrator evaluates edge conditions synchronously and does not support async edge conditions. Such an edge is now treated as not matched (the edge is not traversed) rather than assuming a result. Adds unit coverage; full async-condition support will be handled separately.

* fix(durabletask): reconstruct typed workflow outputs at the host boundary

await_workflow_output and the Azure Functions status endpoint now decode the checkpoint-encoded outputs the shared activity produces, via a shared deserialize_workflow_output helper. The client returns the original objects; the AF endpoint emits clean domain JSON instead of checkpoint-marker dicts, keeping the two hosts consistent.

* fix(durabletask): address review findings on workflow hosting

- AF: register workflow agents through add_agent(entity_id=...) so they remain tracked in app.agents / get_agent() (restores documented behavior) while keying by the executor id the orchestrator dispatches to; mirrors DurableAIAgentWorker.add_agent.

- async bridge: treat the shared loop as reusable only while its backing thread is alive, so a dead loop thread is replaced instead of hanging future.result() forever.

- client: add get_runtime_status; the standalone HITL sample now stops polling and reports the real terminal state instead of a generic timeout.

- tests: guard send_hitl_response pickle-marker stripping and add get_runtime_status coverage.

* fix(durabletask): wait indefinitely for HITL responses, matching core

The durable workflow host previously raced HITL responses against a 72h timer and failed the orchestration on elapse. MAF core's request_info has no timeout concept (it waits for the response), and the .NET durable host waits too, so the durable Python host now does the same: it stays paused until a response arrives. Removes the hitl_timeout_hours parameter and DEFAULT_HITL_TIMEOUT_HOURS constant from both hosts. A configurable timeout can be added later once core defines the contract (what happens on elapse).

* feat(durabletask): typed workflow event streaming and async client API

Add a brokerless workflow event stream to the durable host. Each non-agent executor runs inside a durable activity that captures its real WorkflowEvents (with data payloads); the orchestrator replays them into the orchestration custom status after each superstep, and the client streams them back as typed WorkflowEvent objects with reconstructed data. Agent executors contribute synthesized invoked/completed lifecycle events.

Add async client methods run_workflow (start with optional wait) and stream_workflow (typed event iterator), plus is_replaying plumbing through the orchestration context protocol and both host adapters so live status is published only on non-replay execution.

* docs(samples): standalone durabletask workflow streaming sample

Add sample 10_workflow_streaming demonstrating the async DurableWorkflowClient API on a standalone Durable Task worker: run_workflow(wait=False) to start without blocking, then stream_workflow to consume typed WorkflowEvent objects as a WriterAgent -> ReviewerAgent -> publish pipeline runs.

* refactor(durabletask): internal-only checkpoint codec and host-scoped workflow event streaming

Two related hardening changes to the durable workflow hosting layer, plus a
rebase-restored improvement.

Internal-only serialization codec (MSRC follow-up):
- Rename serialize_value/deserialize_value -> _serialize_value/_deserialize_value
  in the shared durabletask serialization module and update all call sites, so the
  pickle-backed checkpoint codec is unambiguously framework-internal. Untrusted
  input is still neutralized with strip_pickle_markers at the HTTP boundary.
- Remove the duplicate agent_framework_azurefunctions._serialization module and
  import strip_pickle_markers from the shared durabletask module instead. Move its
  unique serialization/strip-marker tests into the durabletask test suite.

Scope workflow event streaming to hosts that can carry it:
- Add WorkflowOrchestrationContext.supports_event_streaming. The standalone
  DurableTask host returns True (no custom-status size cap, has a stream_workflow
  consumer); the Azure Functions host returns False.
- The orchestrator now accumulates and publishes the WorkflowEvent timeline to the
  orchestration custom status only when the host supports streaming. On Azure
  Functions the custom status returns to its pre-streaming shape
  ({state[, pending_requests]}), which fixes orchestrator failures with
  "The size of the JSON-serialized payload must not exceed 16 KB" and stops leaking
  pickle markers into the HTTP status response. The Azure Functions status endpoint
  never consumed the event stream.

Workflow start endpoint:
- Accept text/plain raw request bodies (fall back from get_json to the raw body),
  restoring an improvement from main that the rebase conflict resolution dropped.

* fix(azurefunctions): scope workflow status/respond endpoints to the workflow orchestrator

The workflow/status/{instanceId} and workflow/respond/{instanceId}/{requestId}
HTTP endpoints resolved durable instances by ID only. The durable client looks up
IDs across every orchestration in the task hub (agent entities, any
user-registered orchestrations, and other apps sharing the hub), so a caller
holding one instance ID could read another orchestration's status -- including
pending HITL request payloads -- or inject external events into it.

Add AgentFunctionApp._is_workflow_orchestration() and gate both endpoints on it:
an instance whose orchestration name is not WORKFLOW_ORCHESTRATOR_NAME now returns
404 instead of leaking state or accepting events. send_hitl_response now fetches
the orchestration status and validates ownership before raising the external
event. Legitimate workflow instances are unaffected.

Mirrors the .NET fix in PR #6608.

* fix(durabletask): resolve CI typing failures

- serialization: rename _serialize_value/_deserialize_value back to
  serialize_value/deserialize_value to follow the package convention for
  cross-module internal helpers (matches strip_pickle_markers, resolve_type).
  The leading underscore tripped pyright reportPrivateUsage on cross-module
  imports under the strict source gate; internal-only status is preserved by
  not exporting them from the public API.
- Remove type-ignore comments pyright flags as unnecessary
  (reportUnnecessaryTypeIgnoreComment) in _worker.py, orchestrator.py,
  serialization.py.
- test_08_dt_workflow: add AgentClientFactoryProtocol and annotate the
  agent_client_factory fixture as type[AgentClientFactoryProtocol] (matching
  test_01-07) so mypy/ty stop reporting "type has no attribute create".
- samples (08_workflow, 09_workflow_hitl): pass structured output via
  FoundryChatOptions[Any](response_format=...) instead of a plain dict so the
  samples pyright (basic) config accepts default_options.

---------

Co-authored-by: Gavin Aguiar <80794152+gavin-aguiar@users.noreply.github.com>
2026-06-19 22:21:08 +00:00
Ben Thomas 89d19a2370 .NET: Migrate 01-get-started samples to Foundry as canonical default (#6555)
* Migrate 01-get-started samples to Foundry as canonical default

Change canonical provider from Azure OpenAI to Microsoft Foundry Responses API:

Code changes:
- Updated all 01-get-started samples (01_hello_agent, 02_add_tools, 03_multi_turn,
  04_memory, 06_host_your_agent) to use FoundryAgent or AIProjectClient.AsAIAgent()
- Updated environment variables: AZURE_OPENAI_* → FOUNDRY_PROJECT_ENDPOINT/FOUNDRY_MODEL
- Updated .csproj files to reference Microsoft.Agents.AI.Foundry instead of Azure.AI.OpenAI
- Added warning comments about DefaultAzureCredential production usage
- 05_first_workflow unchanged (workflow pattern only, no AI model)

Documentation changes:
- Updated AGENTS.md Default provider section to reflect Foundry as canonical
- Updated code example to use FoundryAgent constructor pattern
- Updated env var documentation

Note: 04_memory (AIContextProvider sample) extracts IChatClient from FoundryAgent
to maintain the memory pattern while using Foundry backend.

All samples verified to build successfully.

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

* Address PR 6555 review feedback and format failures

- Add Microsoft.Agents.AI.Foundry using to AGENTS.md Foundry snippet
- Update verify-samples GetStarted env vars to FOUNDRY_PROJECT_ENDPOINT/FOUNDRY_MODEL
- Remove unnecessary usings flagged by dotnet format in 01_get_started samples

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

* Switch 01-get-started samples from FoundryAgent to AIProjectClient.AsAIAgent()

Use AIProjectClient.AsAIAgent() as the canonical pattern for all 01-get-started
samples. Reserve FoundryAgent only for samples that specifically demonstrate the
Foundry-managed (prompt) agent — i.e. 02-agents/AgentsWithFoundry/.

Changes:
- 01_hello_agent, 02_add_tools, 03_multi_turn, 06_host_your_agent: swap
  FoundryAgent constructor for AIProjectClient.AsAIAgent(model, instructions)
- 04_memory: get IChatClient via AIProjectClient.AsAIAgent(options).GetService()
  instead of extracting from a throwaway FoundryAgent
- AGENTS.md: update default-provider snippet and note on when to use FoundryAgent

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-19 15:17:12 +00:00
Peter Ibekwe c815902344 .NET: InProcessRunnerContext bugfix for workflows (#6551)
* workfllow bugfix

* Update exception message

* Fix unit test.
2026-06-19 14:09:36 +00:00
Peter Ibekwe 074ac68a6c .NET: Harden fan-in barrier checkpoint state and extend resume coverage (#6574)
* Harden fan-in barrier checkpoint state and extend resume coverage

* Address PR comment
2026-06-19 13:33:26 +00:00
Eduard van Valkenburg d049d94b49 Python: consolidate dependency maintenance workflow (#6570)
* Python: consolidate dependency maintenance workflow

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

* Python: delay dependency maintenance updates

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

* Python: track dependency bounds test failures

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

* Python: scope dependency maintenance token

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-19 09:41:35 +00:00
dependabot[bot] 41995e265d Build(deps): Bump anthropic from 0.80.0 to 0.107.1 in /python (#6396)
Bumps [anthropic](https://github.com/anthropics/anthropic-sdk-python) from 0.80.0 to 0.107.1.
- [Release notes](https://github.com/anthropics/anthropic-sdk-python/releases)
- [Changelog](https://github.com/anthropics/anthropic-sdk-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/anthropics/anthropic-sdk-python/compare/v0.80.0...v0.107.1)

---
updated-dependencies:
- dependency-name: anthropic
  dependency-version: 0.107.1
  dependency-type: direct:production
  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>
2026-06-19 08:53:17 +00:00
dependabot[bot] 2adacb3034 Bump aiohttp from 3.13.4 to 3.14.1 in /python (#6395)
---
updated-dependencies:
- dependency-name: aiohttp
  dependency-version: 3.14.1
  dependency-type: direct:production
  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>
2026-06-19 08:53:08 +00:00
dependabot[bot] 6e3836698b Bump Anthropic.Foundry from 0.5.0 to 0.6.0 (#6057)
---
updated-dependencies:
- dependency-name: Anthropic.Foundry
  dependency-version: 0.6.0
  dependency-type: direct:production
  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>
2026-06-19 08:52:48 +00:00
dependabot[bot] 0d3e3504f0 Build(deps): Bump mistralai from 2.4.2 to 2.4.9 in /python (#6393)
Bumps [mistralai](https://github.com/mistralai/client-python) from 2.4.2 to 2.4.9.
- [Release notes](https://github.com/mistralai/client-python/releases)
- [Changelog](https://github.com/mistralai/client-python/blob/main/RELEASES.md)
- [Commits](https://github.com/mistralai/client-python/compare/v2.4.2...v2.4.9)

---
updated-dependencies:
- dependency-name: mistralai
  dependency-version: 2.4.9
  dependency-type: direct:production
  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>
2026-06-19 08:45:29 +00:00
dependabot[bot] 2ba97ebcca Bump openai from 2.24.0 to 2.43.0 in /python (#6394)
Bumps [openai](https://github.com/openai/openai-python) from 2.24.0 to 2.43.0.
- [Release notes](https://github.com/openai/openai-python/releases)
- [Changelog](https://github.com/openai/openai-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/openai/openai-python/compare/v2.24.0...v2.43.0)

---
updated-dependencies:
- dependency-name: openai
  dependency-version: 2.41.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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2026-06-19 08:45:17 +00:00
hanhan761 2d0555c537 Python: re-role trailing assistant message to user for Anthropic compatibility (fixes #5008) (#6207)
* Fix auto function calling stripping explicit null arguments (fixes #5934)

* fix: re-role trailing assistant message to user for Anthropic (fixes #5008)

* fix: address Copilot review feedback (exclude_unset, test coverage, synthetic user turn)

* fix: update docstring and extend exclude_unset to auto_invoke_function

* revert: remove unrelated core _tools.py changes from Anthropic PR

The exclude_none/exclude_unset changes in the core package are out of scope
for this Anthropic-specific fix. This PR now only contains the Anthropic
chat client docstring fix and the synthetic user turn append.

* fix: avoid appending user turn after Anthropic tool use

* Fix Anthropic tool-use type narrowing

Use object-typed content narrowing before checking Anthropic tool-use block types so strict Pyright no longer treats dynamic message content as Unknown.

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

---------

Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-19 06:25:34 +00:00
Evan Mattson 5145d50be8 Python: Fix AG-UI tool history replay sanitization  (#6581)
* Python: Fix AG-UI tool history replay sanitization 

* Python: Address AG-UI replay review comments

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-19 15:01:01 +09:00
dependabot[bot] 7f7c88bfa5 Build(deps): Bump python-multipart from 0.0.26 to 0.0.32 in /python (#6406)
* Build(deps): Bump python-multipart from 0.0.26 to 0.0.27 in /python

Bumps [python-multipart](https://github.com/Kludex/python-multipart) from 0.0.26 to 0.0.27.
- [Release notes](https://github.com/Kludex/python-multipart/releases)
- [Changelog](https://github.com/Kludex/python-multipart/blob/main/CHANGELOG.md)
- [Commits](https://github.com/Kludex/python-multipart/compare/0.0.26...0.0.27)

---
updated-dependencies:
- dependency-name: python-multipart
  dependency-version: 0.0.27
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>

* Build(deps): Bump python-multipart to 0.0.32 via override-dependencies floor >=0.0.31

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
2026-06-19 01:00:26 +00:00
Shyju Krishnankutty bcef77af6a .NET: (Durable): Scope workflow status/respond endpoints to route workflow name (#6608)
* Scope workflow status/respond endpoints to route workflow.

 Validate that the orchestration instance belongs to the workflow
 named in the route. Prevents cross-workflow access via runId.

* Add changelog.

* Address Copilot review feedback: fix duplicate XML doc, make IsOrchestrationOwnedByWorkflow non-throwing, drop misleading Async suffix in test name

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-19 00:01:15 +00:00
Ben Thomas 54a30571aa Dotnet - Add support for Foundry Adaptive evals (#6267)
* .NET: feat(evals): RubricScore type + EvalScoreResult.Dimensions

Adds the core rubric-evaluator surface that mirrors the Python work in

PR #6101 (commit e45b934cc). Provider-agnostic types only — no Foundry

coupling. Subsequent commits will wire these into FoundryEvals.

- RubricScore: per-dimension score record (Id, Score?, Applicable, Weight, Reason).

- EvalScoreResult.Dimensions: optional init-only list of RubricScore.

  Null for non-rubric (built-in) evaluators.

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

* .NET: feat(evals): GeneratedEvaluatorRef + assertion helpers

Adds the provider-agnostic surface for referencing a pre-existing rubric

evaluator and gating CI on per-item / per-dimension thresholds. Mirrors

Python PR #6101 commits e5830dd7f (ref type) and 4bc60462d (asserts).

- GeneratedEvaluatorRef: name + optional version/display-name, plus a

  Latest(name) factory for versionless refs (discouraged for CI; consumers

  should warn at run time).

- AgentEvaluationResults.AssertScoreAtLeast: walks DetailedItems[].Scores,

  optionally filtered by evaluator name, recurses into SubResults.

- AgentEvaluationResults.AssertDimensionScoreAtLeast: walks each score's

  Dimensions list, skips non-applicable dimensions by default, supports

  requireApplicable to flip that, recurses into SubResults.

- AgentEvaluationResults.AssertNoFailedItems: walks DetailedItems for

  fail/error statuses, recurses into SubResults.

All helpers throw InvalidOperationException (matches existing AssertAllPassed).

Truncates offender lists to the first 5 with a '+N more' suffix to keep

CI output readable, mirroring the Python helpers.

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

* .NET: feat(foundry-evals): accept GeneratedEvaluatorRef in evaluators=

Adds FoundryEvaluatorSpec, a readonly-struct union with implicit conversions
from both string and GeneratedEvaluatorRef so call sites can mix built-in
evaluator names with rubric evaluator references:

    var evals = new FoundryEvals(
        projectClient, model,
        new GeneratedEvaluatorRef("policy-rubric", "3"),
        FoundryEvals.Relevance,
        FoundryEvals.Coherence);

FoundryEvals constructors (3 overloads), EvaluateTracesAsync, and
EvaluateFoundryTargetAsync now take FoundryEvaluatorSpec[]/params instead of
string[]/params. Existing call sites using string literals or string[] keep
working unchanged via implicit conversion.

FoundryEvalConverter.BuildTestingCriteria emits the documented Foundry wire
format for rubric refs:
  {
    "type": "azure_ai_evaluator",
    "name": <DisplayName ?? Name>,
    "evaluator_name": <Name>,
    "evaluator_version": <Version>,   // omitted when null
    "initialization_parameters": { "deployment_name": <model> },
    "data_mapping": { conversation arrays, optional tool_definitions }
  }

WireTestingCriterion gains an optional EvaluatorVersion field. Rubric refs
are preserved through FilterToolEvaluators (tool-aware but not tool-required)
and ignored by FindMissingGroundTruthEvaluators. A versionless ref emits a
Trace.TraceWarning at criterion-build time so CI authors notice the floating
version (mirrors the Python warning).

Adds 6 new Foundry unit tests (3 BuildTestingCriteria rubric paths, 1
FindMissingGroundTruthEvaluators, 1 FilterToolEvaluators preservation, 1
mixed-order). 369/369 Foundry tests pass.

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

* .NET: feat(foundry-evals): parse rubric dimension_scores into RubricScore

Adds FoundryEvals.ParseRubricScores, called per result inside ParseDetailedItem.
Each EvalScoreResult now populates Dimensions when the evaluator's sample carries
a rubric breakdown.

Accepts three shapes for forward compatibility with provider SDK iterations:

  1. sample.properties.dimension_scores  (canonical Foundry runtime shape)
  2. sample.properties.rubric_scores     (preview/legacy key)
  3. top-level sample.dimension_scores / sample.rubric_scores  (defensive fallback)

Entries missing 'id', 'weight', or 'applicable' are skipped without invalidating
well-formed siblings. Non-applicable dimensions may omit 'score' (parsed as null).

Adds 6 unit tests covering canonical and legacy keys, top-level fallback, no-match
returns null, malformed-entry skipping, and the non-applicable null-score path.
375/375 Foundry tests pass.

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

* .NET: feat(samples): Evaluation_FoundryRubric end-to-end sample

Adds dotnet/samples/05-end-to-end/Evaluation/Evaluation_FoundryRubric mirroring
the Python evaluate_with_rubric_sample.py:

  - Fetches a pre-existing Foundry agent via AgentAdministrationClient
    (GetAgentAsync for latest, GetAgentVersionAsync when FOUNDRY_AGENT_VERSION
    is pinned).
  - References a rubric evaluator by GeneratedEvaluatorRef(name, version);
    falls back to GeneratedEvaluatorRef.Latest(name) with the documented
    floating-version warning.
  - Mixes the rubric with FoundryEvals.Relevance and FoundryEvals.Coherence
    in a single FoundryEvals run (implicit string-and-ref conversion).
  - Prints per-dimension breakdowns from EvalScoreResult.Dimensions for each
    item.
  - Demonstrates a CI quality gate with AssertDimensionScoreAtLeast("general_quality", 3.0).

Documents the FOUNDRY_PROJECT_ENDPOINT footgun (must be project-scoped URL
.../api/projects/<project>, not the bare Azure OpenAI endpoint) and the
Eval-Definition-vs-Rubric-Evaluator distinction in the README. Ships a
.env.example with the FOUNDRY_* variables.

Registers the project in agent-framework-dotnet.slnx and cross-links from
the sibling Evaluation_Multimodal / Evaluation_ExpectedOutputs READMEs.

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

* fix(foundry-evals): harden FoundryEvals public surface for review

Address PR #6267 review comments on the .NET FoundryEvals integration:

- Add source-compat overloads accepting `string[] evaluators` for `FoundryEvals` ctor, `EvaluateTracesAsync`, and `EvaluateFoundryTargetAsync` so existing callers passing string arrays keep compiling unchanged. New overloads forward via a private `ToSpecs` helper that wraps each name through the implicit `string -> FoundryEvaluatorSpec` conversion.

- Guard against `default(FoundryEvaluatorSpec)` entries (both `BuiltinName` and `GeneratedRef` null) that would NRE the downstream converter. Adds `FoundryEvaluatorSpec.IsValid` / `EnsureValid` plus an internal `EnsureAllSpecsValid` helper, wired into the main ctor and both static evaluation entry points.

- Add 6 unit tests covering the new validation surface.

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

* fix(sample): set ExitCode=1 when rubric dimension gate trips

PR #6267 review comment: the FoundryRubric sample swallowed the AssertDimensionScoreAtLeast failure, so a CI run that included it as a quality gate would still exit 0 even when the rubric regressed. Set `System.Environment.ExitCode = 1` in the catch so CI fails while still letting the rest of the sample's logging complete cleanly.

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

* fix(foundry-evals): search typed Sample directly for rubric scores

PR #6267 review comment: `_extract_rubric_scores` only searched the `properties` dict when the sample exposed one. When the Azure AI Projects typed SDK returns a Sample object that puts `dimension_scores` / `rubric_scores` directly on the instance (no `properties` wrapper), we missed them and surfaced no per-dimension scores.

Add an `else: containers.append(sample)` branch so non-dict typed samples are also inspected for the score keys. Covered by two new tests: one with `dimension_scores` directly on a typed Sample without a `properties` wrapper, and one with the legacy `rubric_scores` key in the same shape.

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

* test(evals): cover assert_score_at_least and assert_no_failed_items

PR #6267 review comments: both assertion helpers shipped without unit tests. Add `TestAssertScoreAtLeast` (above threshold, below w/ offenders, evaluator filter, sub_results recursion) and `TestAssertNoFailedItems` (all passing, failed/errored statuses, sub_results recursion) with a shared `_score_results` fixture builder.

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

* docs(samples): remove dead rubric-evaluator doc link from FoundryRubric sample

The Azure AI Foundry rubric evaluator concept doc page has not yet been published, so the link in the sample README and Program.cs comment 404s. Drop the references until the upstream doc is live.

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

* Potential fix for pull request finding

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

* Address PR 6267 review nits

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

---------

Co-authored-by: Ben Thomas <25218250+alliscode@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-06-18 20:50:28 +00:00
westey dc445592ed Python: [BREAKING] Port FileMemoryProvider and integrate FileMemoryProvider & FileAccess into the harness agent (#6547)
* Port FileMemoryProvider to python and integrate it and FileAccessProvider into the harness

* Address PR comments

* Address PR comments

* Create FileSystemAgentFileStore root lazily on first write

Construction no longer calls mkdir, so building a store (and therefore a
default create_harness_agent, which wires default file-memory and file-access
stores under the CWD) performs no filesystem writes and does not fail in
read-only working directories. The root directory is created on the first
write_file / create_directory call; all read/list/search operations already
tolerate a missing root. Updates docstrings and adds a regression test.

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

* Fix typing

* Fixing typing errors

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 20:15:46 +00:00
westey 92823e9e61 .NET: [BREAKING] Require approval for FileAccessProvider tools with auto-approval rules (#6521)
* Require approval for file-access

* Potential fix for pull request finding

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

* Rename DisableToolApproval to DisableToolAutoApproval for clarity

* Fix broken suggestion.

* Address PR comments and fix build issue.

* Update dotnet/src/Microsoft.Agents.AI.Harness/HarnessAgentOptions.cs

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

---------

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
2026-06-18 18:55:22 +00:00
Eduard van Valkenburg 7a491f8e76 Python: Add hosting channel ADRs and spec (#6578)
* Add Python hosting channel ADRs

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

* Add Python hosting implementation spec

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 18:29:24 +00:00
Ben Thomas 015e3bcd3b .NET: Enabling sequential orchestration to pass entire conversation or only previous output. (#6554)
* Fix sequential workflow input forwarding

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

* Make sequential workflow context configurable

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

* Clarify sequential chain-only behavior

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

* Clarify sequential output messaging

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

---------

Co-authored-by: Ben Thomas <25218250+alliscode@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 17:53:47 +00:00
Eduard van Valkenburg 6e95517659 Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) (#6443)
* Python: Split type checkers by target (pyright source, 5 checkers on tests/samples)

Rework the typing setup along the lines of the 'too many type checkers'
approach:

- Pyright (strict) is now the sole source-code type checker; mypy is
  removed from source and its [tool.mypy] block becomes a relaxed profile
  used only for tests/samples.
- Tests are checked by all five checkers (pyright relaxed, mypy, pyrefly,
  ty, zuban); samples by pyright, pyrefly, and ty. All run in a relaxed/
  basic profile so authors aren't forced into over-annotation.
- Add pyrightconfig.tests.json and bump sample pyright configs to basic.
- Unify test/sample typing onto the same parallel fan-out used by source
  pyright via run_command_items in task_runner.py.
- Make version-conditional imports symmetric: keep or drop the
  '# type: ignore' on both branches so results match across interpreter
  versions (local vs CI).
- Update SKILL.md, DEV_SETUP.md, and CODING_STANDARD.md for the five
  gating checkers and pyright on source+tests+samples.

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

* Python: Fix merge regressions from main (typing + runtime)

Merging main into the type-checker split branch surfaced regressions that
the new five-checker test suite and unit tests caught:

Runtime fixes:
- anthropic: restore the dropped `cache_read_input_token_count` mapping in
  _parse_usage_from_anthropic (lost during merge conflict resolution).
- gemini: _get_function_calling_mode test helper returned str(enum)
  ('FunctionCallingConfigMode.AUTO') instead of the enum value ('AUTO').
- openai: _response_id_from_token test helper was an infinite self-recursion;
  return token['response_id'].
- orchestrations: reset output_events per approval iteration so the terminal
  output assertion counts only the final run.
- core: drop a stale duplicate harness test whose message ('non-negative')
  contradicted the source ('positive').
- purview: import PolicyLocation/PolicyScope/ProtectionScopeActivities/
  ExecutionMode used by the processor tests.

Type-checker fixes (tests, relaxed profile):
- core: pyright/mypy/pyrefly/ty/zuban green-ups across the harness, MCP,
  observability and types tests.
- anthropic/openai: route provider-namespaced UsageDetails keys through a
  dict cast (extra_items TypedDict unsupported by mypy/ty).
- purview: typed model constructors and cache-mock casts.
- ag-ui: annotate WorkflowContext[Any, Any] so yield_output accepts test
  payloads, guard Optional forwarded_props, and ty-ignore intentional bad args.

Source pyright (sole source checker) flagged unnecessary ignores newly
introduced by merged code in core _tools.py and declarative _declarative_base.py.

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

* Python: Isolate per-package mypy cache in test-typing fan-out

The parallel test-typing fan-out runs many mypy processes concurrently,
all defaulting to a single shared ./.mypy_cache. Concurrent writes corrupt
the cache and mypy aborts with INTERNAL ERROR (intermittently, depending on
worker timing) -- which is why CI's Test Typing job failed on a shifting set
of packages while a single-package run was fine.

Give each mypy invocation an isolated cache dir keyed by its target paths so
incremental caching still works per package without races. Other checkers
(zuban/pyrefly/ty/pyright) maintain their own caches and are unaffected.

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

* Python: Make lab pyright-only on source (drop source mypy)

Lab was the last package still running mypy on its source code, requiring
mypy-only `# type: ignore` comments that pyright (the sole source checker
everywhere else) flags as unnecessary. Align lab with the rest of the
monorepo:

- Remove the lab source mypy poe tasks (mypy-gaia/lightning/tau2) and the
  now-dead strict [tool.mypy] config block.
- Drop the 'Run lab mypy' CI step; lab source is type-checked by pyright only.

Lab tests remain covered by the workspace test-typing fan-out (mypy, pyrefly,
ty, zuban, pyright over tests using the relaxed root config).

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

* Python: Fix test-typing regressions from latest main merge

A fresh merge from main brought in new test code never run under the
five-checker test-typing suite. Green up across the affected packages:

- core: narrow Optional span.attributes with 'and' guards in span filters
  and assert+cast the json.loads(...attributes[...]) reads (test_observability);
  match the existing as_agent ignore on the protocol-typed fixture (test_clients).
- openai: align new streaming tests with the established chat_options dict
  pattern (ChatOptions TypedDict isn't assignable to dict), route Optional
  .annotations[0] access through a small _first_annotation helper (mirrors the
  file's assert-not-None convention), and annotate a mapped ResponseStream.
- foundry_hosting: annotate error: dict[str, Any] = body.get(...) or {}
  (zuban needs the annotation).
- foundry: narrow ignores for the live AIProjectClient credential arg (pyrefly)
  and connections.get_default (zuban) SDK type gaps.

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

* updated pyright version

* pyright fix

* Python: Fix source typing for pyright 1.1.410

Pyright 1.1.410 tightened several checks. Apply the same source fixes as
upstream PR #6275:

- anthropic: import AsyncAnthropicBedrock from anthropic.lib.bedrock and
  AsyncAnthropicVertex from anthropic.lib.vertex (no longer re-exported from
  the anthropic top-level package -> reportPrivateImportUsage).
- core _types.py: cast the transform-hook result to UpdateT (reportAssignmentType).
- core _workflows/_events.py: annotate the @contextmanager helper as
  Generator[None] instead of Iterator[None] (reportDeprecated).
- redis: build the combined filter expression with an explicit loop instead of
  reduce(and_, ...), which pyright could no longer fully type (drops the now
  unused functools.reduce / operator.and_ imports).

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

* Python: Accept plain-text body in Azure Functions workflow/run endpoint

The workflow_orchestrator already accepts plain strings as well as JSON
objects via context.get_input(), but the start_workflow_orchestration HTTP
handler only accepted JSON and returned 400 for any non-JSON body. This made
the functions integration tests that POST text/plain to /api/workflow/run
(e.g. test_09_workflow_shared_state) fail consistently with 400 != 202.

Fall back to the raw request body (decoded as UTF-8) when the body is not
JSON, rejecting only a truly empty body. The JSON path is unchanged.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 15:06:20 +00:00
Evan Mattson 97bb1d588a Migrate to using issue type bug instead of label bug. (#6595) 2026-06-18 14:47:00 +00:00
Roger Barreto 1fc57c45ee .NET: Bump Azure.AI.Projects to 2.1.0-beta.3 (#6542)
* Bump Azure.AI.Projects to 2.1.0-beta.3

Updates Azure.AI.Projects from 2.1.0-beta.2 to 2.1.0-beta.3, together with the transitive Azure.Core (1.56.0 to 1.57.0) and System.ClientModel (1.12.0 to 1.13.0) pins that beta.3 requires (beta.3 forces System.ClientModel 1.13.0.0 via Azure.Core 1.57.0).

Migrates the affected samples and integration test to the beta.3 surface:
* MemorySearch sample: MemorySearchToolCallResponseItem renamed to MemorySearchToolCall, Results renamed to Memories, MemoryItem indirection removed.
* AgentSkills sample: skill provisioning/download API redesigned to a version based model (CreateSkillVersionFromFiles, GetSkillContent which now downloads and unzips), removing manual ZIP handling.
* Session files integration test: GetSessionFilesAsync now returns an async collection of SessionDirectoryEntry and renames the sessionId parameter to agentSessionId.

* Stream session file listing and short-circuit in integration test

Avoids materializing the entire session directory listing into a List. The test now streams GetSessionFilesAsync and breaks as soon as the expected entry is found, then asserts it was located.

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 13:58:22 +00:00
Evan Mattson b3f8aaa9d7 Python: adjust coverage report handoff (#6576)
* Adjust coverage report handoff

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

* Simplify coverage report handoff check

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 12:35:45 +00:00
dependabot[bot] c22fc8d653 Build(deps): Bump esbuild, @tailwindcss/vite, @vitejs/plugin-react and vite (#6503)
Removes [esbuild](https://github.com/evanw/esbuild). It's no longer used after updating ancestor dependencies [esbuild](https://github.com/evanw/esbuild), [@tailwindcss/vite](https://github.com/tailwindlabs/tailwindcss/tree/HEAD/packages/@tailwindcss-vite), [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/tree/HEAD/packages/plugin-react) and [vite](https://github.com/vitejs/vite/tree/HEAD/packages/vite). These dependencies need to be updated together.


Removes `esbuild`

Updates `@tailwindcss/vite` from 4.1.12 to 4.3.1
- [Release notes](https://github.com/tailwindlabs/tailwindcss/releases)
- [Changelog](https://github.com/tailwindlabs/tailwindcss/blob/main/CHANGELOG.md)
- [Commits](https://github.com/tailwindlabs/tailwindcss/commits/v4.3.1/packages/@tailwindcss-vite)

Updates `@vitejs/plugin-react` from 5.0.1 to 5.2.0
- [Release notes](https://github.com/vitejs/vite-plugin-react/releases)
- [Changelog](https://github.com/vitejs/vite-plugin-react/blob/plugin-react@5.2.0/packages/plugin-react/CHANGELOG.md)
- [Commits](https://github.com/vitejs/vite-plugin-react/commits/plugin-react@5.2.0/packages/plugin-react)

Updates `vite` from 7.3.2 to 8.0.16
- [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/v8.0.16/packages/vite)

---
updated-dependencies:
- dependency-name: esbuild
  dependency-version:
  dependency-type: indirect
- dependency-name: "@tailwindcss/vite"
  dependency-version: 4.3.1
  dependency-type: direct:production
- dependency-name: "@vitejs/plugin-react"
  dependency-version: 5.2.0
  dependency-type: direct:development
- dependency-name: vite
  dependency-version: 8.0.16
  dependency-type: direct:development
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-06-18 11:35:48 +00:00
dependabot[bot] a3131b8130 Build(deps): Bump esbuild, @vitejs/plugin-react and vite (#6501)
Removes [esbuild](https://github.com/evanw/esbuild). It's no longer used after updating ancestor dependencies [esbuild](https://github.com/evanw/esbuild), [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/tree/HEAD/packages/plugin-react) and [vite](https://github.com/vitejs/vite/tree/HEAD/packages/vite). These dependencies need to be updated together.


Removes `esbuild`

Updates `@vitejs/plugin-react` from 4.7.0 to 6.0.2
- [Release notes](https://github.com/vitejs/vite-plugin-react/releases)
- [Changelog](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react/CHANGELOG.md)
- [Commits](https://github.com/vitejs/vite-plugin-react/commits/plugin-react@6.0.2/packages/plugin-react)

Updates `vite` from 7.3.2 to 8.0.16
- [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/v8.0.16/packages/vite)

---
updated-dependencies:
- dependency-name: esbuild
  dependency-version:
  dependency-type: indirect
- dependency-name: "@vitejs/plugin-react"
  dependency-version: 6.0.2
  dependency-type: direct:development
- dependency-name: vite
  dependency-version: 8.0.16
  dependency-type: direct:development
...

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2026-06-18 11:35:40 +00:00
dependabot[bot] 3d46595111 Python: Bump prek from 0.4.3 to 0.4.5 in /python (#6527)
* Bump prek from 0.4.3 to 0.4.5 in /python

Bumps [prek](https://github.com/j178/prek) from 0.4.3 to 0.4.5.
- [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/v0.4.3...v0.4.5)

---
updated-dependencies:
- dependency-name: prek
  dependency-version: 0.4.5
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

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* fix python workspace prek pin mismatch

---------

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2026-06-18 10:09:11 +00:00
dependabot[bot] 205f7bcca8 Python: Bump pytest from 9.0.3 to 9.1.0 across /python workspace (#6524)
* Bump pytest from 9.0.3 to 9.1.0 in /python

Bumps [pytest](https://github.com/pytest-dev/pytest) from 9.0.3 to 9.1.0.
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest/compare/9.0.3...9.1.0)

---
updated-dependencies:
- dependency-name: pytest
  dependency-version: 9.1.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

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* Fix Python workspace pytest pin mismatch

---------

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2026-06-18 10:08:10 +00:00
dependabot[bot] 2048289fb0 Build(deps): Bump pydantic-monty from 0.0.17 to 0.0.18 in /python (#6392)
Bumps [pydantic-monty](https://github.com/pydantic/monty) from 0.0.17 to 0.0.18.
- [Release notes](https://github.com/pydantic/monty/releases)
- [Commits](https://github.com/pydantic/monty/compare/v0.0.17...v0.0.18)

---
updated-dependencies:
- dependency-name: pydantic-monty
  dependency-version: 0.0.18
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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2026-06-18 10:05:13 +00:00
westey 699916d639 Python: Add WebSearchDisplayObserver to harness console (#6572)
* Adding an observer to the python harness for web search tools

* Escape dynamic strings with rich.markup.escape() in WebSearchDisplayObserver

Apply rich.markup.escape() to all user/tool-provided strings (queries, URLs,
titles, patterns) before interpolation into Rich-markup-enabled output. This
prevents characters like '['/']' from being interpreted as Rich markup tags.

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

---------

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2026-06-18 09:42:30 +00:00
Roger Barreto 1ba5cd3f44 .NET: Scope argument-based standing approvals correctly in ToolApprovalAgent (#6486) (#6487)
Ensure an argument-scoped standing approval (the "always approve with exact
arguments" path) records an empty argument set rather than null when the
approved call has no arguments, so it matches only future no-argument calls.
null remains reserved exclusively for tool-level approvals, keeping the two
scopes distinct. This aligns the .NET behavior with the existing Python harness.

Adds regression tests covering the no-argument standing-approval flow, the
MatchesRule argument-scoping semantics, and empty-arguments rule serialization.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 09:13:24 +00:00
Roger Barreto 1519e50f2f Harden archive extraction guard so path containment is statically recognized (#6564) (#6565)
The Hosted-AgentSkills sample and its mirrored unit-test helper gated ZIP
extraction on `StartsWith(destinationRoot)` OR `Equals(destinationRoot)`. The
second branch left an acceptance path not covered by the containment check, so
static analysis could not prove the extraction sink stays within the
destination. Make the single resolved-path StartsWith check the only gate to
extraction in both files and add a nested-entry regression test.

Closes #6564
2026-06-18 09:12:00 +00:00
Evan Mattson b55992bb67 Bump Python package versions for 1.9.0 release (#6583)
Selective, CHANGELOG-driven version bumps for the 2026-06-18 release.

Released tier: agent-framework-core and the root agent-framework go to 1.9.0
(minor). Core ships new public APIs (agent-loop middleware, tool-approval
middleware and harness integration, shell-tool harness integration, AG-UI
thread snapshot persistence, context-provider telemetry) plus two behavioral
breaking changes on evolving surfaces: MCP sampling now denies server-initiated
requests by default, and the FileAccess tools were aligned with the .NET
implementation. These are treated as within-1.x changes because every package
caps core at <2; a major bump would require rewriting those caps. The foundry
and openai packages go to 1.8.2 (patch, bug fixes only). The root
agent-framework-core[all] pin was moved to 1.9.0 in lockstep with core.

Release-candidate tier: ag-ui to 1.0.0rc5 and declarative to 1.0.0rc2 for their
respective changes. orchestrations is promoted to stable 1.0.0; PACKAGE_STATUS
and the README install hint were updated accordingly.

Prerelease tier (new Pacific date stamp 260618): anthropic (beta),
azure-contentunderstanding (alpha) and foundry-hosting (alpha). No beta cohort
bump was applied; only packages with changes this cycle were stamped.

Dependency floors: following the established convention, the core floor was
raised to >=1.9.0 on every non-core package bumped this cycle, preserving the
existing <2 upper bound.

Also resolves two pre-existing failures in the dependency-bounds validator that
are unrelated to the version bumps. Hosted-environment detection now catches a
bare ImportError so optional Foundry hosting probing cannot crash user-agent
setup. The harness shell-tool integration, which lazily imports the separate
agent-framework-tools package to avoid a circular runtime dependency, is now
type-checked and tested in isolated environments via a core dev
dependency-group, with the shell-tool tests guarded to skip when that package
is absent.
2026-06-18 18:01:17 +09:00
Evan Mattson e8cec71ed8 Use issue type for triage workflow (#6577)
* Use issue type for triage workflow

* Disable blank issue reports

* Revert "Disable blank issue reports"

This reverts commit 222c8444a7b3b5768e01b9d562195a27d1a29f1a.
2026-06-18 14:48:00 +09:00
Eduard van Valkenburg d7e63d7d0e Fix Foundry aiohttp dependency (#6567)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 02:03:16 +00:00
Changjian Wang f59d5c67d8 Python: Adopt azure-ai-contentunderstanding to_llm_input in CU context provider (#5796)
* Refactor DocumentEntry model and update result handling

- Changed the type of `result` in DocumentEntry from dict to str to store LLM-ready text.
- Introduced `search_payload` in DocumentEntry for optional alternate rendering.
- Updated FileSearchConfig to include `include_fields` option for vector store uploads.
- Modified tests to reflect changes in DocumentEntry and FileSearchConfig.
- Adjusted integration tests to validate new result structure and rendering.
- Removed legacy format_result tests as rendering is now handled by the SDK.

* Potential fix for pull request finding

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

* Add test to ensure page markers are preserved in LLM input

Co-authored-by: Copilot <copilot@github.com>

* fix(cu-context-provider): scope LLMStats telemetry filter to rai_warnings block

Address PR #5796 review comment: the previous defensive scrubber ran a global regex substitution over the full rendered string, so any markdown body bullet shaped like '- LLMStats: ...' would also be silently deleted.

Add a _strip_rai_telemetry helper that confines the substitution to the front-matter rai_warnings: YAML sub-block, leaving the body verbatim. Cover the new behavior with three tests (scoped strip, body preservation, and no-op branches).

* Sync uv.lock with azure-ai-contentunderstanding>=1.2.0b1 dependency bump

* Python: Drop search_payload/include_fields, single to_llm_input rendering (CU context provider)

Address PR #5796 review: remove the redundant search_payload field and _render_search_payload helper, drop the include_fields opt-in (already covered by output_sections), rename _resolve_pending_tokens -> _resolve_pending_analysis, and have _upload_to_vector_store read entry['result'] directly.

* Python: Adopt SDK 1.2.0b2 LLMStats filtering, drop local workaround (CU context provider)

azure-ai-contentunderstanding 1.2.0b2 filters LLMStats telemetry from rai_warnings and emits InputPageNumber page markers in to_llm_input, so the provider's local defense is redundant.

- Bump dependency to azure-ai-contentunderstanding>=1.2.0b2 (re-lock uv.lock)

- Remove _strip_rai_telemetry and its two regexes; _render_for_llm now returns to_llm_input(...) directly

- Delete 4 workaround unit tests for the removed helper

---------

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Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: changjian-wang <v-changjwang@microsoft.com>
Co-authored-by: aluneth <wangchangjian1130@163.com>
2026-06-18 01:57:41 +00:00
Shyju Krishnankutty 26a0a7e8be .NET: (Durable): bind MCP threadId to the current agent and guard cross-agent session dispatch (#6531)
* scope MCP threadId to the current agent

* Fix Async suffix on test methods and add CHANGELOG entries

- Rename three test methods to include Async suffix (IDE1006 fix)
- Add CHANGELOG entries for DurableTask and Hosting.AzureFunctions

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

---------

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2026-06-17 21:56:53 +00:00
Yufeng He 616315339e .NET: fix fan-in checkpoint edge state (#6491) 2026-06-17 20:17:53 +00:00
Eduard van Valkenburg fcc5576b04 .NET: feat(dotnet): Add LocalCodeAct package for local Python execution (#6105)
* feat(dotnet): Add LocalCodeAct package scaffold

Create Microsoft.Agents.AI.LocalCodeAct package with:
- Project file with embedded Python resources
- ExecutionMode enum (Subprocess only)
- ProcessExecutionLimits record
- FileMount record and FileMountMode enum
- README.md documentation
- Embedded Python runner and validator scripts

This is the .NET equivalent of the Python agent-framework-local-codeact
package. Next: Implement process bridge and tool integration.

* feat(dotnet): Add embedded Python runner and validator

Copy Python runner and validator scripts from the Python implementation
as embedded resources for the .NET package.

* feat(dotnet): Add CodeValidator wrapper

Implement CodeValidator.cs that:
- Extracts embedded Python validator script to temp file
- Invokes Python validator with JSON request
- Passes custom allow/block lists
- Throws CodeValidationException on failures
- Cleans up temp files

Uses the embedded Resources/validator.py for AST validation.

* feat(dotnet): Add LocalExecuteCodeFunction

Implement LocalExecuteCodeFunction as AIFunction:
- Accepts Python executable path (required)
- Registers host tools for code to call
- Validates code via CodeValidator if custom lists provided
- Executes via ProcessBridge
- Converts result dict to ChatMessage list
- Builds dynamic description including available tools

Matches Python LocalExecuteCodeTool functionality.

* feat(dotnet): Add LocalCodeActProvider

Implement AIContextProvider that:
- Injects execute_code tool into context
- Adds CodeAct instructions
- Enforces single-provider-per-agent via StateKeys
- Wraps LocalExecuteCodeFunction lifecycle

Minimal provider implementation matching Python LocalCodeActProvider.

* feat(dotnet): Add tests and sample for LocalCodeAct

Add unit tests:
- LocalExecuteCodeFunctionTests (4 tests)
- ProcessExecutionLimitsTests (2 tests)
- FileMountTests (2 tests)

Add sample:
- LocalCodeAct/Program.cs - Demonstrates provider and function usage
- LocalCodeAct/README.md - Documentation and safety warnings

Tests verify basic construction, metadata, and disposal.
Sample shows provider creation, function setup, and configuration.

Note: Build requires .NET 10 SDK per global.json.

* feat(dotnet): Add LocalCodeAct sample project

Add sample demonstrating:
- LocalCodeActProvider creation and configuration
- LocalExecuteCodeFunction direct usage
- Execution modes and file mount configuration
- Safety warnings and prerequisites

Includes project file and README with security guidance.

* feat(dotnet): Add file mount support and integration tests

- Added FileMountHelper.cs for file mount normalization, snapshot, and capture
- Updated LocalExecuteCodeFunction to support file mounts parameter
- Added file snapshot before/after execution with capture logic
- Updated LocalCodeActProvider to pass file mounts through
- Created comprehensive IntegrationTests.cs with 10 test cases:
  - Simple code execution
  - Timeout handling
  - Syntax error handling
  - Blocked import validation
  - Blocked builtin validation
  - Custom allowed imports
  - File mount read/write with capture
  - Stdout capture
  - Provider tool injection

All features from Python implementation now ported to .NET.

* Rewrite .NET LocalCodeAct to address all PR review comments

Complete rewrite that follows the Hyperlight package conventions
(see Microsoft.Agents.AI.Hyperlight) and addresses all 24 review
comments on PR #6105:

Architectural fixes:
* LocalCodeActProvider now uses options-class constructor pattern
  matching HyperlightCodeActProvider.
* Override of ProvideAIContextAsync uses the correct
  (InvokingContext, CancellationToken) signature returning
  ValueTask<AIContext>.
* ExecuteCodeFunction follows the AIFunction Name/Description/JsonSchema
  property pattern with InvokeCoreAsync override.
* Provider exposes AddTools/GetTools/RemoveTools/ClearTools and
  AddFileMounts/GetFileMounts/RemoveFileMounts/ClearFileMounts CRUD
  methods, with snapshot-at-invocation semantics under a lock.

Runtime/security fixes:
* Subprocess IPC uses JsonObject/JsonNode end-to-end (no
  Dictionary<string, object?> casts that broke under JsonElement
  deserialization).
* Validator runs in its own subprocess with a dedicated timeout
  (ProcessExecutionLimits.ValidationTimeoutSeconds), never reuses
  the runner script.
* Validation enabled by default; can be opt-ed out via
  ValidationEnabled = false.
* validator.py has a __main__ entrypoint that reads JSON from
  stdin and exits with structured errors.
* validator.py is now compatible with Python 3.9+ (Match nodes
  added conditionally).
* call_id parsed as long to match Python id(kwargs) range.

Other:
* README rewritten with valid C# syntax (options-class, FileMount
  constructor) and accurate descriptions of validator and file
  capture behavior.
* Added integration tests that exercise the real subprocess and
  validator (skipped gracefully when python3 is not on PATH).
* All 18 tests pass (15 unit + 3 integration) across net8/net9/net10.

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

* Sync embedded validator.py with Python package allow-list enforcement

The embedded Python validator script used by the .NET LocalCodeAct
package now enforces the builtin allow-list, matching the latest
behavior of agent_framework_local_codeact._validator. Names that are
real Python builtins must appear in the allow-list, while unknown names
(user-defined functions, registered tools) remain allowed.

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

* Add Hosted-LocalCodeAct foundry hosted-agent sample

Mirrors the Python foundry_hosted_agent.py sample for the local-codeact
package: registers compute and fetch_data as sandbox-only host tools on
LocalCodeActProvider so the model only sees execute_code and reaches them
via await call_tool(...). Includes the standard hosted-agent supporting
files (agent.yaml, agent.manifest.yaml, Dockerfile, Dockerfile.contributor,
.env.example, README.md) and installs python3 in the container images so
the embedded runner and validator can execute.

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

* fix(local-codeact-dotnet): sync validator os.* allow-list with Python

Mirror the Python package change: the embedded validator.py invoked by the
.NET ProcessBridge replaces the os.* deny-list with an allow-list of
{environ, path}. Add allowed_os_attrs parameter to validate_code and
_CodeValidator, and surface it via the stdin JSON request schema so the
.NET host can opt in to a broader allow-list when needed.

Default behavior tightens to match the documented contract: any os.*
attribute outside {environ, path} (for example os.listdir, os.open,
os.getcwd) is rejected.

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

* fix(local-codeact-dotnet): address review + tighten validator

- validator.py: enforce os.* allow-list on `from os import X` so names like
  `system`, `getcwd` cannot bypass the visit_Attribute restriction.
- ProcessBridge.ConfigureEnvironment: document that null Environment inherits
  the parent env (matching real behavior) and update the public
  LocalCodeActProviderOptions.Environment doc to describe the explicit
  empty-dictionary opt-in for a scrubbed environment.
- Tests:
  * FileMountHelperTests covers per-file, per-mount, and total
    capture-limit branches that return TextContent omissions.
  * Integration tests cover unknown-tool dispatch error, tool throwing
    exception, and CodeValidator timeout that kills the process and
    raises CodeValidationException.
- Sample: drop unused `Microsoft.Agents.AI.Foundry` using in
  Hosted-LocalCodeAct/Program.cs to satisfy IDE0005 check-format.

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

* chore(local-codeact-dotnet): remove stale orphan sample

The dotnet/samples/LocalCodeAct/ scaffolding sample referenced APIs
that don't exist in the current package (`ExecutionMode`, FileMount
object-initializer syntax, the old LocalExecuteCodeFunction
constructor signature, function.Metadata.*), produced a long list of
check-format violations (CHARSET, IMPORTS, IDE0073 header, IDE0005
unused using, IDE1006 Async suffix, RCS1037 trailing whitespace), and
did not match any of the documented sample layouts.

The hosted-agent example at
dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalCodeAct
is the supported entry-point sample for this package.

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

* style(local-codeact-dotnet): satisfy check-format rules

- Add UTF-8 BOM to source files (CHARSET)
- Remove unused using directives (IDE0005)
- Simplify type names (IDE0001/IDE0002/IDE0090)
- Rename static field JsonOptions -> s_jsonOptions (IDE1006)
- Rename static field SyncRoot -> s_syncRoot (IDE1006)
- Add missing this. qualifications in ProcessBridge (IDE0009)
- Remove unused _options field from LocalCodeActProvider (IDE0052)

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

* fix(local-codeact-dotnet): wire hosted sample into solution

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

* fix(local-codeact-dotnet): sync embedded Python scripts

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

* fix(local-codeact-dotnet): exercise Python integration on Windows

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

* .NET: Address LocalCodeAct API review feedback

Move the required Python executable path to LocalCodeAct constructors, invert the validation flag default, and apply small project/file mount cleanup suggestions.

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

* .NET: Address LocalCodeAct concurrency review

Surface unauthorized mount traversal errors and use concurrent provider registries for LocalCodeAct tool and file mount CRUD operations.

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

* .NET: Simplify LocalCodeAct function wrappers

Use AIFunctionFactory-created inner functions for LocalCodeAct execute_code wrappers and remove redundant script cache and JsonNode cloning logic.

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

* .NET: Update LocalCodeAct factory result tests

Handle JsonElement result values produced by AIFunctionFactory delegation in LocalCodeAct execute_code integration tests.

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

---------

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2026-06-17 15:30:52 +00:00
westey 6cc7ddb73e .NET: Integrate LoopAgent into HarnessAgent with TodoCompletionLoopEvaluator (#6544)
* Add LoopAgent to Harness with TodoEvaluator sample

* Address PR comments

* Fix build error
2026-06-17 19:03:16 +01:00
westey 39f4b5ec72 Align function tool names for BackgroundAgent and FileMemory between python and .net (#6550) 2026-06-17 17:14:12 +01:00
dependabot[bot] 02eb9435bf Bump litellm from 1.83.14 to 1.84.0 in /python (#6559)
Bumps [litellm](https://github.com/BerriAI/litellm) from 1.83.14 to 1.84.0.
- [Release notes](https://github.com/BerriAI/litellm/releases)
- [Commits](https://github.com/BerriAI/litellm/commits/v1.84.0)

---
updated-dependencies:
- dependency-name: litellm
  dependency-version: 1.84.0
  dependency-type: indirect
...

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2026-06-17 12:56:50 +00:00
Eduard van Valkenburg 4ff952e100 Python: Capture context provider instructions in agent telemetry (#6515)
* Fix agent instructions telemetry

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

* Simplify agent instructions telemetry guard

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

* Fix observability mypy cast

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-17 08:28:16 +00:00
westey 7bf2d2a6d0 Python: Fix harness console rendering one streamed tool call many times (#6549)
* Fix render issue for tools that are streamed in parts.

* Address PR review: missing call_id fallback, empty-mapping args, _is_complete perf

- Print call_id-less function calls as-is instead of merging under a name-derived
  key (which could drop distinct unnamed calls).
- Preserve an empty {} mapping rather than coercing it to None.
- Add a structural bracket-balance gate before json.loads in _is_complete to
  avoid O(n^2) re-parsing of growing streamed arguments.

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

---------

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2026-06-17 05:15:51 +00:00
Tao Chen bd32e3142c Fix comments 2026-06-16 11:03:57 -07:00
Peter Ibekwe 1a280ae7c5 Bugfix for Declarative Workflow (#6530)
* Declarative workflow bugfix

* Fix PR comments
2026-06-16 17:55:51 +00:00
Ben Thomas 4d492614a9 .NET samples: structural alignment changes (#6485)
* Rescope dotnet provider samples cleanup

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

* Fix provider samples README link

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-16 17:55:38 +00:00
Tao Chen 1a698f92ba Add tests 2026-06-16 10:52:03 -07:00
Tao Chen f70c58fa7c Make sure spans created inside sync ops in streaming path are correctly nested 2026-06-16 10:42:13 -07:00
Eduard van Valkenburg 8e10c0399a Python: Remove unsupported as_agent function_invocation_configuration (#6520)
* Remove unsupported as_agent config parameter

Fixes #6313

Remove the unsupported function_invocation_configuration parameter from BaseChatClient.as_agent(), which currently forwards an invalid kwarg into Agent.__init__(). This keeps the existing TypeError behavior for callers but changes the error source to the public API boundary, which we do not consider a breaking change.

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

* fix sample

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-16 17:12:04 +00:00
Tao Chen bce2757477 Foundry hosted agent responses emit failed events (#6502) 2026-06-16 16:25:06 +00:00
Eduard van Valkenburg 106e065774 .NET: Rebuild Hyperlight sandbox after tool registry updates (#6523)
* .NET: Rebuild Hyperlight sandbox after tool registry updates

Track provider tool registry updates in Hyperlight run snapshots so subsequent executions rebuild the sandbox after AddTools replaces registered tools.

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

* .NET: Strengthen Hyperlight registry replacement test

Add provider-level coverage that same-name AddTools replacement changes the captured execute_code snapshot fingerprint.

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

* .NET: Use Guid for Hyperlight registry version

Use a Guid token for Hyperlight tool registry generations to avoid overflow concerns in long-lived providers.

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

* .NET: Fix Hyperlight Guid test import

Add the missing System import required by the Guid-based Hyperlight fingerprint test.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-16 15:31:20 +00:00
westey 0db9305625 Python: Integrate tool approval into the harness (#6522)
* Integrate auto tool-approval feature into harness

* Potential fix for pull request finding

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

* Rename disable_tool_approval to disable_tool_auto_approval

Addresses PR review feedback that the parameter name was unclear. The flag
toggles the auto/standing tool-approval middleware.

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

---------

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-16 15:21:31 +00:00
Eduard van Valkenburg 571cae426c Python: Fix Azure AI Search citation URLs (#6453)
* Fix Azure AI Search citation URLs

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

* Enrich MCP search citation metadata

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

* Fix Azure AI Search citation enrichment follow-ups

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

* Address PR #6453 review comments

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

* updated filter for paths

* also updated python paths

* reverted dotnet-format change

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: westey <164392973+westey-m@users.noreply.github.com>
2026-06-16 16:13:30 +01:00
SergeyMenshykh 9fb16e034f .NET: Allow custom argument marshaling for skill scripts (#6498)
Add an optional Func<JsonElement?, AIFunctionArguments> argument marshaler to inline and class-based skills so callers can customize how raw JSON tool-call arguments are converted into AIFunctionArguments before delegate invocation. This enables handling backends (e.g. vLLM) that send tool-call arguments as a JSON string instead of a JSON object. The marshaler can be supplied at the script, inline-skill, or class-skill level; when omitted, the existing strict JSON-object behavior is preserved unchanged.

Co-authored-by: SergeyMenshykh <SergeMenshikh@outlook.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-16 14:27:13 +01:00
westey e07cfba0f3 Disable Anthropic tests by not providing environment vars until 404 failure is resolved (#6539) 2026-06-16 14:23:50 +01:00
Roger Barreto 40a2dd5cd0 .NET: Restore ambient client-header scope between non-streaming ClientHeadersAgent runs (#6517)
* Restore ambient client-header scope between non-streaming runs (#6516)

Make ClientHeadersAgent.RunCoreAsync async + await so the per-run
ClientHeadersScope is unwound on return, matching the streaming path.

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

* Assert per-run on wire instead of brittle exact request count

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-15 13:21:53 +00:00
Eduard van Valkenburg 7e9c043c4c Python: Improve PR template and breaking-change label automation (#6473)
* Improve PR template and breaking-change label automation

- Add a structured "Related Issue" section using GitHub closing keywords
- Add a Review Guide prompt (major changes, impact, reviewer focus) with a
  note that the focus item is for human reviewers only
- Add checklist items for issue linkage / no duplicate PRs and invert the
  breaking-change item (checked = not breaking)
- Extend label-title-prefix to prepend [BREAKING] when the "breaking change"
  label is added
- Add label-breaking-change workflow to apply the "breaking change" label
  when a PR title contains [BREAKING]

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

* Add pull-requests agent skill with dotnet/python links

- Add root .github/skills/pull-requests/SKILL.md covering PR description
  authoring (following the PR template) and the review-comment workflow
  (review -> plan -> user review -> implement -> reply to all -> resolve)
- Symlink the skill from python/.github/skills and dotnet/.github/skills
- Reference the skill from python/AGENTS.md and dotnet/AGENTS.md

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

* Fold breaking-change labeling into label-pr workflow

Move the title -> 'breaking change' label logic into the existing label-pr
workflow (which already applies the python/.NET labels) and drop the separate
label-breaking-change workflow.

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

* Address PR title prefix review feedback

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

* Pin patched MessagePack for .NET restore

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

* Revert MessagePack central pin

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

* Move title prefix tests out of tracked GitHub tests

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

* Exclude skill docs from CI path filters

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

* Match skill symlinks in CI path exclusions

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

* Exclude AGENTS docs from CI path filters

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

* Scope title-prefix normalization to a real prefix

The normalization branch in addTitlePrefix matched ^Python (no colon), so
titles like "Python samples improvements" or "Pythonic refactor" were treated
as already-prefixed and only re-cased, never receiving the "Python: " prefix.
Scope the match to ^<prefix>:\s* so only an actual existing prefix is
normalized; otherwise the prefix is prepended. Same fix applies to the .NET
prefix (e.g. ".NETStandard bump").

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-15 10:55:23 +00:00
Eduard van Valkenburg d7e8d2206d Python: Fix Python OTel usage detail attributes (#6493)
* fix python otel usage detail attributes

Map cached/read/reasoning usage detail fields to standard OTel GenAI attributes while preserving provider-specific legacy keys.

Add focused coverage for direct response spans, aggregated agent spans, and provider usage parsing.

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

* address usage detail review feedback

Omit missing OpenAI Responses usage detail counts while preserving zero-valued counts.

Record zero-valued token usage in OTel histograms and add regression coverage.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-15 07:10:14 +00:00
westey d7027fc1f9 Python: [BREAKING] Align FileAccess tools with .NET — directory discovery and recursive search (#6476)
* Align FileAccess tools with .Net; add directory discovery and recursive search

* Fix choices field description: spacing, line length, grammar

Addresses PR review: separate concatenated string literals with proper
spacing/newlines, wrap lines under the 120-char Ruff limit, and fix
"doesn't" -> "don't".

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

* Address PR comments

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-15 06:55:21 +00:00
Giles Odigwe df0bd4da82 Python: Fix ollama_chat_client.py sample: pass tools via options dict (#6480)
* Fix ollama_chat_client.py sample: pass tools via options dict

The sample was passing tools as a direct keyword argument to
get_response(), which caused a TypeError. The tools parameter
must be passed inside the options dict per the SupportsChatGetResponse
protocol.

Fixes #6411

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

* Wrap tools in a list as expected by OllamaChatClient

_prepare_tools_for_ollama iterates the tools value, so it must be a
list rather than a bare FunctionTool instance.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-15 06:52:14 +00:00
Peter Ibekwe ed4ff188fc Python: [Breaking] Additional bug fix for declarative workflows (#6489)
* Fix declarative object parsing bug

* Remove unnecessary comment

* Address PR comments

* Address PR comments.

* Fix CI failures.

* declarative action approval bugfix

* Address PR comments

* Inlined single use variables.
2026-06-12 16:58:35 +00:00
Theo van Kraay 0f483fa968 Set ApplicationName on CosmosClientOptions for UserAgent telemetry (#6481)
Added CosmosOptionsHelper (in Microsoft.Agents.AI.CosmosNoSql namespace)
that sets CosmosClientOptions.ApplicationName per component, producing
wire-visible UserAgent suffixes:

- CosmosChatHistoryProvider: Microsoft.Agents.CosmosNoSql.ChatHistory/{version}
- CosmosCheckpointStore: Microsoft.Agents.CosmosNoSql.Checkpoint/{version}

This ensures Cosmos DB requests from the Agent Framework are identifiable
in telemetry, enabling usage tracking and diagnostics queries that can
distinguish between chat history and checkpoint workloads.

Addressed review feedback:
- Truncates ApplicationName to 64 chars (Cosmos SDK max length)
- Moved helper to Microsoft.Agents.AI.CosmosNoSql namespace (scoped ownership)
- Uses StringComparison.Ordinal for IndexOf call

When users provide their own CosmosClient instance, the ApplicationName
is not overridden - users retain full control.

Co-authored-by: TheovanKraay <TheovanKraay@users.noreply.github.com>
2026-06-12 16:32:07 +00:00
westey 5e830f4dc9 .NET: Only use the output from the last message for structured output (#6499)
* Only use the output from the last message for structured output

* Address PR comments

* Address PR comment

* Address PR comments
2026-06-12 15:47:32 +00:00
Eduard van Valkenburg 1acd242550 Python: Add AgentLoopMiddleware for re-running agents in a loop (#6174)
* Python: Add AgentLoopMiddleware for re-running agents in a loop

Add `AgentLoopMiddleware`, an `AgentMiddleware` that re-runs the wrapped
agent in a loop. A single configurable class covers three common patterns,
each with a convenience classmethod factory:

- Ralph loop (`.ralph(...)`): no exit criteria, with feedback tracking
  (`record_feedback`/`progress`), progress injection (`inject_progress`),
  optional fresh context per iteration (`fresh_context`), and an early-stop
  completion signal (`is_complete`).
- Predicate (`.with_predicate(...)`): loop while a `should_continue` callable
  returns True (e.g. paired with `todos_remaining`/`background_tasks_running`).
- Judge (`.with_judge(...)`): a second chat client decides whether the original
  request was answered, using a `JudgeVerdict` structured-output response.

The loop also auto-resolves pending function-approval / user-input requests via
an `on_approval_request` callable (bounded by `max_approval_rounds`), and the
next iteration's input is controlled by `next_message`. Supports both streaming
and non-streaming runs.

Exports `AgentLoopMiddleware`, `JudgeVerdict`, `todos_remaining`, and
`background_tasks_running`. Adds tests, a sample, and docs.

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

* Python: Refine AgentLoopMiddleware API and sample

- with_judge: add criteria list with {{criteria}} templating into judge
  instructions plus an agent-side instruction; add fresh_context, additional
  judge feedback relay; default judge max_iterations.
- should_continue is now required and positional; supports (bool, str|None)
  feedback tuples surfaced to next_message/record_feedback via feedback kwarg.
- Judge forwards full multi-modal request and response messages.
- Default max_iterations=10 (explicit None = unbounded); removed is_complete and
  Ralph terminology; ShouldContinueResult is a real TypeAlias.
- Sample: stream all loops, print iteration counts via injected user-block
  boundaries (robust to function calling), <role>: content formatting, per-method
  expected output, and a looping todo sample.

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

* Python: Fix CI checks for AgentLoopMiddleware

- Resolve pyright errors in _loop.py: drop the always-true final_result None
  check (the while loop always assigns it) and cast finish_reason to the
  AgentResponse constructor's expected type.
- Apply pyupgrade --py310-plus: import TypeAlias from typing.

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

* Python: Resolve mypy/pyright disagreement on finish_reason

pyright infers AgentResponse.finish_reason as including str and rejects the
direct assignment, while mypy considers a cast redundant. Drop the cast and
suppress only pyright with a targeted reportArgumentType ignore, satisfying
both type checkers.

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

* Python: Add todo+judge AgentLoopMiddleware sample

Add a second AgentLoopMiddleware sample that composes two criteria in one
should_continue predicate: a TodoProvider check (evaluated first) and a
report-style judge chat client (evaluated once todos are complete) that grades
the assembled report against shared requirements. Register it in the middleware
samples README.

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

* Python: Compose todo+judge loops as two middleware

Rework the todo+judge sample to compose two AgentLoopMiddleware on the agent
itself (middleware=[judge_loop, todo_loop]) instead of a single hand-written
predicate. The inner todos_remaining loop drafts the report todo-by-todo and the
outer with_judge loop re-runs it until an editor chat client judges the report
publication-ready, reusing the built-in helpers.

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

* Reset session for fresh_context loops via snapshot/restore

AgentLoopMiddleware.fresh_context previously only reset context.messages,
so with an attached session each iteration still reloaded the local
transcript or re-threaded the service-side conversation id and the model
saw the accumulated history. Snapshot the session once before the loop
(via to_dict) and restore it (from_dict + field copy) between iterations,
so every pass starts from the pre-loop baseline. The final iteration's
pass is persisted (no restore after the terminating iteration), so a
subsequent agent.run continues from there.

Removed the obsolete warning, updated docstrings and core AGENTS.md, and
added tests: a snapshot/restore round-trip, a session-reset
streaming x fresh_context x inject_progress x store matrix across multiple
runs and loop iterations, and response_format parsing across the loop.

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

* Updated samples and docstrings

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-12 14:35:54 +00:00
westey 3f77c555cf .NET: [BREAKING] Align FileAccess tools with Python; add directory discovery and recursive search (#6474)
* Align FileAccess with python and improve functionality

* Addressing PR comments
2026-06-12 14:28:26 +00:00
westey cd512da731 .NET: Updating MessagePack to latest version (#6497)
* Updating MessagePack to latest version

* Remove MessagePack from package directly, since CentralPackageTransitivePinningEnabled is true
2026-06-12 13:45:14 +00:00
Evan Mattson 76b2b1bf39 Python: Add opt-in AG-UI thread snapshot persistence and hydration (#6471)
* feat(ag-ui): add thread snapshot store primitives

Key decisions:\n- Introduce an AGUIThreadSnapshot model limited to replayable messages, optional Shared State, and optional interrupt state.\n- Define AGUIThreadSnapshotStore as an async protocol keyed by explicit Snapshot Scope and AG-UI Thread id.\n- Add InMemoryAGUIThreadSnapshotStore as memory-only, latest-only, bounded local/demo/test storage; no file-backed store is introduced.\n- Require snapshot_scope_resolver whenever an endpoint is configured with a snapshot store, including pre-wrapped runners, so thread ids are not authorization boundaries.\n\nFiles changed:\n- packages/ag-ui/agent_framework_ag_ui/_snapshots.py\n- packages/ag-ui/agent_framework_ag_ui/__init__.py\n- packages/ag-ui/agent_framework_ag_ui/_agent.py\n- packages/ag-ui/agent_framework_ag_ui/_workflow.py\n- packages/ag-ui/agent_framework_ag_ui/_endpoint.py\n- packages/core/agent_framework/ag_ui/__init__.py\n- packages/core/agent_framework/ag_ui/__init__.pyi\n- packages/ag-ui/tests/ag_ui/test_snapshots.py\n- packages/ag-ui/tests/ag_ui/test_endpoint.py\n- packages/ag-ui/tests/ag_ui/test_public_exports.py\n- packages/ag-ui/AGENTS.md\n\nVerification:\n- uv run pytest packages/ag-ui/tests/ag_ui/test_snapshots.py packages/ag-ui/tests/ag_ui/test_public_exports.py packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_requires_snapshot_scope_resolver_when_store_configured packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_accepts_snapshot_store_with_scope_resolver -q\n- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_requires_snapshot_scope_resolver_when_store_configured packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_requires_snapshot_scope_resolver_when_wrapped_runner_has_store packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_accepts_snapshot_store_with_scope_resolver -q\n- uv run poe syntax -P ag-ui -C\n- uv run poe pyright -P ag-ui\n- uv run poe syntax -P core -C\n- uv run poe pyright -P core\n- uv run poe typing -P ag-ui\n- uv run poe typing -P core\n- uv run poe test -P ag-ui\n- uv run poe check -P ag-ui\n- git diff --check\n- git diff --cached --check\n\nBlockers / next iteration:\n- No blockers. Next slice can use the store contract to capture and hydrate agent snapshots.\n- uv repeatedly refreshed azure-ai-projects in uv.lock during local runs; reverted the generated lockfile churn because this change does not alter dependencies.\n- The poe-check commit hook was skipped after manual verification because it reformatted unrelated core MCP files outside this task.

* feat(ag-ui): hydrate agent threads from snapshots

Key decisions:
- Resolve Snapshot Scope per endpoint request and pass it to the AG-UI runner only when snapshot storage is active.
- Treat empty messages with no resume payload as an agent Hydrate Request when a scoped snapshot store is configured, replaying stored Shared State and message snapshots without invoking the wrapped agent.
- Save the latest replayable agent message snapshot and Shared State at normal completion under Snapshot Scope plus AG-UI Thread id; no durable or file-backed store is introduced.

Files changed:
- packages/ag-ui/agent_framework_ag_ui/_agent_run.py
- packages/ag-ui/agent_framework_ag_ui/_endpoint.py
- packages/ag-ui/agent_framework_ag_ui/_snapshots.py
- packages/ag-ui/tests/ag_ui/test_endpoint.py

Verification:
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_hydrates_stored_thread_snapshot_without_invoking_agent -q
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_hydrates_stored_thread_snapshot_without_invoking_agent packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_hydrates_snapshots_by_scope_and_thread -q
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_empty_messages packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_hydrates_stored_thread_snapshot_without_invoking_agent packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_hydrates_snapshots_by_scope_and_thread -q
- uv run poe syntax -P ag-ui -C
- uv run poe pyright -P ag-ui
- uv run poe typing -P ag-ui
- uv run poe test -P ag-ui
- uv run poe check -P ag-ui
- git diff --check
- git diff --cached --check

Blockers / next iteration:
- No blockers. Next slice can reconstruct normal new-user agent turns from stored snapshots.
- uv repeatedly refreshed azure-ai-projects in uv.lock during local runs; reverted the generated lockfile churn because this change does not alter dependencies.
- The poe-check commit hook was skipped after manual verification because it refreshed unrelated uv.lock dependency resolution.

* feat(ag-ui): reconstruct agent turns from snapshots

Key decisions:
- Load scoped thread snapshots for non-hydrate agent requests only when snapshot storage is active and no resume payload is present.
- Rebuild prior AG-UI history from stored snapshot messages, preserving the incoming new user suffix and treating stored snapshot content as authoritative over conflicting prior client history.
- Merge stored Shared State with request state overrides before schema defaults and existing state-context injection.

Files changed:
- packages/ag-ui/agent_framework_ag_ui/_agent_run.py
- packages/ag-ui/tests/ag_ui/test_endpoint.py

Verification:
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_prepends_stored_snapshot_for_new_user_turn -q
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_deduplicates_full_history_and_merges_fresh_state -q
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_empty_messages packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_hydrates_stored_thread_snapshot_without_invoking_agent packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_hydrates_snapshots_by_scope_and_thread packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_prepends_stored_snapshot_for_new_user_turn packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_deduplicates_full_history_and_merges_fresh_state -q
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py -q
- uv run poe syntax -P ag-ui -C
- uv run poe pyright -P ag-ui
- uv run poe test -P ag-ui
- uv run poe check -P ag-ui
- uv run poe typing -P ag-ui
- git diff --check
- git diff --cached --check

Blockers / next iteration:
- No blockers. Next slice can enable workflow AG-UI Thread Snapshot persistence and hydration.
- uv repeatedly refreshed azure-ai-projects in uv.lock during local runs; reverted the generated lockfile churn because this change does not alter dependencies.
- The poe-check commit hook was skipped after manual verification because it refreshes unrelated uv.lock dependency resolution.

* feat(ag-ui): hydrate workflow threads from snapshots

Key decisions:
- Handle workflow Hydrate Requests before resolving or invoking the wrapped workflow when snapshot storage and Snapshot Scope are active.
- Capture only replayable workflow protocol data: workflow-emitted state snapshots, workflow-emitted message snapshots, and synthesized messages from text/tool output.
- Keep workflow snapshot capture inactive without configured persistence, and skip saving snapshots when the workflow stream emits RUN_ERROR.

Files changed:
- packages/ag-ui/agent_framework_ag_ui/_workflow.py
- packages/ag-ui/tests/ag_ui/test_endpoint.py

Verification:
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_workflow_endpoint_hydrates_emitted_snapshots_without_invoking_workflow packages/ag-ui/tests/ag_ui/test_endpoint.py::test_workflow_endpoint_hydrates_synthesized_text_and_tool_snapshot -q
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py -q
- uv run pytest packages/ag-ui/tests/ag_ui/golden/test_scenario_workflow.py -q
- uv run poe syntax -P ag-ui -C
- uv run poe pyright -P ag-ui
- uv run poe test -P ag-ui
- uv run poe typing -P ag-ui
- uv run poe check -P ag-ui
- git diff --check
- git diff --cached --check

Blockers / next iteration:
- No blockers. Next slice can preserve interruption state and protect snapshots on errors across agent and workflow endpoints.
- uv repeatedly refreshed azure-ai-projects in uv.lock during local runs; reverted the generated lockfile churn because this change does not alter dependencies.
- The poe-check commit hook was skipped after manual verification because it refreshes unrelated uv.lock dependency resolution.

* feat(ag-ui): preserve interrupted thread snapshots

Key decisions:
- Capture workflow RUN_FINISHED interrupt metadata in replayable AG-UI Thread Snapshots so Hydrate Requests can restore pending workflow actions without invoking or resuming the workflow.
- Keep failed agent and workflow runs from replacing the last good snapshot; RUN_ERROR streams leave the previous snapshot available for hydration.
- Verify interruption hydration through endpoint-level AG-UI streams for both agent and workflow wrappers, including Shared State replay and no wrapped runner invocation.

Files changed:
- packages/ag-ui/agent_framework_ag_ui/_workflow.py
- packages/ag-ui/tests/ag_ui/test_endpoint.py

Verification:
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_workflow_endpoint_hydrates_interrupted_thread_without_invoking_workflow -q
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_hydrates_interrupted_thread_without_invoking_agent packages/ag-ui/tests/ag_ui/test_endpoint.py::test_agent_endpoint_run_error_does_not_overwrite_previous_snapshot packages/ag-ui/tests/ag_ui/test_endpoint.py::test_workflow_endpoint_hydrates_interrupted_thread_without_invoking_workflow packages/ag-ui/tests/ag_ui/test_endpoint.py::test_workflow_endpoint_run_error_does_not_overwrite_previous_snapshot -q
- uv run pytest packages/ag-ui/tests/ag_ui/test_endpoint.py -q
- uv run pytest packages/ag-ui/tests/ag_ui/golden/test_scenario_workflow.py -q
- uv run poe syntax -P ag-ui -C
- uv run poe pyright -P ag-ui
- uv run poe test -P ag-ui
- uv run poe typing -P ag-ui
- uv run poe check -P ag-ui
- git diff --check
- git diff --cached --check

Blockers / next iteration:
- No blockers. Next slice can document AG-UI Thread Snapshot security and usage.
- uv repeatedly refreshed azure-ai-projects in uv.lock during local runs; reverted the generated lockfile churn because this change does not alter dependencies.
- The poe-check commit hook was skipped after manual verification because it refreshes unrelated uv.lock dependency resolution.

* docs(ag-ui): document thread snapshot security

Key decisions:
- Document AG-UI Thread Snapshot persistence as opt-in and disabled unless a snapshot_store is configured.
- Place Snapshot Scope guidance next to endpoint authentication guidance, making clear that AG-UI Thread ids identify threads but do not authorize snapshot access.
- Describe built-in storage as in-memory only, process-local, latest-only, and not durable production storage; durable stores remain app-owned implementations of AGUIThreadSnapshotStore.
- Call out snapshot confidentiality impact and that no file-backed AG-UI snapshot store is provided.

Files changed:
- packages/ag-ui/README.md

Verification:
- uv run python scripts/check_md_code_blocks.py packages/ag-ui/README.md --no-glob
- git diff --check
- git diff --cached --check
- commit hook without SKIP ran changed-package lint/format and AG-UI README markdown-code-lint successfully before stopping because uv.lock was modified
- uv run poe markdown-code-lint (failed due existing unrelated packages/mistral/README.md missing agent_framework_mistral import resolution; changed AG-UI README blocks passed)

Blockers / next iteration:
- No blockers. Local issue/PRD planning artifacts remain uncommitted.
- uv refreshed azure-ai-projects in uv.lock during markdown lint and the commit hook; reverted the generated lockfile churn because this documentation change does not alter dependencies.
- The poe-check commit hook was skipped after manual verification because it refreshes unrelated uv.lock dependency resolution.

* fix(ag-ui): harden thread snapshot persistence edge cases

- Persist the completed confirm_changes turn with interrupt=None so hydration
  no longer replays a stale pending interrupt after the user responds; resume
  requests prepend stored history so the persisted thread is not truncated.
- Defer endpoint default_state application to the runners when snapshot
  persistence is active, filling only keys missing from both the stored
  snapshot state and the request state so defaults never reset persisted
  Shared State.
- Always fold the turn's output into the persisted messages snapshot even when
  the outbound MESSAGES_SNAPSHOT event is suppressed for predictive tools
  without confirmation.
- Load the stored snapshot on workflow follow-up turns, reconstruct full
  thread history into the run input, and seed the snapshot builder with merged
  state so saving a new turn no longer replaces prior history.
- Move snapshot message reconstruction helpers to _run_common for reuse by the
  workflow runner; load stored agent snapshots on resume turns for state merge.
- Add endpoint regression tests for all four scenarios.

* fix(ag-ui): protect snapshot history on resume and harden suffix trust

- Prepend stored thread history when persisting snapshots for resume runs on
  both the agent and workflow paths, so a resumed interrupt no longer
  overwrites the stored thread with just the resume turn's output.
- Filter the incoming message suffix during thread reconstruction: only user
  turns and tool results answering backend-issued tool calls (stored tool
  calls or pending interrupts) may extend authoritative history. Client-forged
  assistant and tool messages are dropped and logged instead of being
  persisted and replayed.
- Close the workflow snapshot builder's tool-call group when a tool result or
  text message lands, so synthesized transcripts keep tool results adjacent to
  their tool_calls message and stay valid as provider replay history.
- Export DEFAULT_MAX_THREAD_SNAPSHOTS from agent_framework_ag_ui and expose
  SnapshotScopeResolver through the core ag_ui facade and stub.
- Add regression tests for agent and workflow resume history preservation,
  forged suffix rejection, builder tool-call grouping, and the export surface.

* fix(ag-ui): tolerate snapshot save failures and scope workflow cache

- Wrap snapshot_store.save() on both the agent and workflow paths so a
  transient store failure (timeout, connection refused) is logged instead of
  propagating. Previously a failing save converted an already-streamed
  successful run into RUN_ERROR, and on the workflow path emitted RUN_ERROR
  after RUN_FINISHED, violating the single-terminal-event invariant. The
  previous snapshot stays available for hydration.
- Key the workflow_factory instance cache by (snapshot_scope, thread_id). The
  Snapshot Scope is the authorization boundary, so the same thread id under
  different scopes no longer shares an in-memory workflow instance.
  clear_thread_workflow accepts an optional snapshot_scope and clears all
  scopes for the thread when omitted.
- Add tests: save-failure tolerance for agent and workflow endpoints,
  scope-isolated workflow cache, async snapshot_scope_resolver support, and
  in-memory store key validation errors.

* fix(ci): ignore all dotnet.microsoft.com links in linkspector

The existing ignore pattern only matched https://dotnet.microsoft.com/download,
but Microsoft sites insert a locale segment between host and path
(e.g. /en-us/download/dotnet/10.0), so localized links slip past the pattern
and get checked. dotnet.microsoft.com bot-blocks CI link checkers with
intermittent 403s across the whole site, which fails markdown-link-check on
unrelated pull requests since linkspector scans the entire repository.

Ignore the domain wholesale, matching how platform.openai.com is already
handled for the same reason. A 403 from bot blocking is indistinguishable
from a removed page, so the checker cannot produce a meaningful signal for
this domain either way.

* ag-ui: simplify raw_messages assignment and drop OrderedDict

- Replace list(cast(...)) with a typed annotation for raw_messages
  (_agent_run.py:866) per review suggestion
- Replace OrderedDict with a plain dict in InMemoryAGUIThreadSnapshotStore
  (_snapshots.py:136); regular dicts are insertion-order-safe since
  Python 3.7, so OrderedDict is unnecessary. Update _evict_oldest to use
  next(iter(...)) for FIFO removal instead of popitem(last=False).

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

* Address review feedback for #2458: review comment fixes

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-12 08:29:38 +00:00
Yufeng He 4c1b9efa8c .NET: fix: filter filesystem checkpoint index by session (#6132)
* fix: filter filesystem checkpoint index by session

* fix: filter checkpoint index by parent

* .NET: preserve legacy checkpoint index discovery
2026-06-11 22:35:57 +00:00
Peter Ibekwe e7937947d9 Python: Bug fix for declarative workflows (#6468)
* Fix declarative object parsing bug

* Remove unnecessary comment

* Address PR comments

* Address PR comments.

* Fix CI failures.
2026-06-11 22:34:15 +00:00
westey 3d5421edc1 Python: Integrate shell tool into harness agent (#6451)
* Integrate shell tool into AgentHarness

* Validate shell_executor exposes as_function() with a clear TypeError

Addresses PR review feedback: a public factory should fail fast with an
actionable error rather than a cryptic AttributeError when an incompatible
shell_executor is supplied. Validation happens upfront, regardless of whether
the client supports shell tools.

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

* Type shell harness params via TYPE_CHECKING import

Addresses PR review feedback: type shell_executor and
shell_environment_provider_options instead of Any, using a TYPE_CHECKING
import from agent_framework_tools.shell. The import never executes at
runtime, so there is no circular dependency, and the lazy runtime import of
ShellEnvironmentProvider is retained. Since ShellExecutor is a protocol
without as_function(), the validated getattr result is invoked directly.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-11 20:51:59 +00:00
Giles Odigwe 8b0405de1b .NET: Fix CopySessionConfig() and CopyResumeSessionConfig() to preserve SessionConfig.Streaming value (#6463)
* Fix CopySessionConfig and CopyResumeSessionConfig ignoring Streaming value (#4732)

CopySessionConfig() and CopyResumeSessionConfig() hardcoded Streaming = true,
ignoring the caller's explicitly set SessionConfig.Streaming value. This made it
impossible to disable streaming when using AsAIAgent() with the GitHub Copilot SDK.

Changed both methods to use source.Streaming ?? true (and source?.Streaming ?? true
for the nullable overload), preserving the caller's value when set while maintaining
backward compatibility by defaulting to true when unset.

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

* Fix non-streaming response path for SessionConfig.Streaming=false (#4732)

The config-copy fix (preserving Streaming=false via null-coalescing) was
already in place, but ConvertToAgentResponseUpdate(AssistantMessageEvent)
always emitted raw AIContent without text—assuming delta events had already
delivered it. When streaming is disabled there are no delta events, so the
assistant's final text was silently dropped.

Changes:
- Add isStreaming parameter to ConvertToAgentResponseUpdate for
  AssistantMessageEvent so it emits TextContent in non-streaming mode.
- Capture the resolved streaming flag in RunCoreStreamingAsync and pass
  it through the event subscription closure.
- Add/update unit tests for both streaming and non-streaming paths.

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

* Add test for null Data path in ConvertToAgentResponseUpdate (#4732)

Add a regression test covering the null-propagation path where
AssistantMessageEvent.Data is null. The production code already handles
this via ?. operators, but no test previously verified the behavior.

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

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-11 18:18:05 +00:00
Eduard van Valkenburg df29af611c Python: Add tool approval middleware (#6414)
* Add Python tool approval middleware

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

* Fix tool approval restored state handling

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

* Gate hidden approvals on explicit approval responses

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

* Handle string inputs in approval replay scan

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

* Cover argument-scoped approval rules

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

* Refine tool approval state and budgets

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

* Fix tool approval PR CI failures

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

* Revert DevUI Aspire README link change

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-11 17:35:44 +00:00
Ben Thomas c79f886dc3 .NET: Align Foundry sample environment variables and credentials. (#6422)
* dotnet: refresh Foundry sample guidance

Carry forward the still-relevant sample guidance and Foundry-specific documentation fixes from the old stacked sample migration work, adapted to the current repo layout and policy.

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

* dotnet: rename Foundry sample env vars

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

* dotnet: remove persistent provider sample

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

* dotnet: drop SAMPLE_GUIDELINES.md from this PR

Defer the guidelines doc and its cross-link to a follow-on PR to avoid broken-link failures in CI.

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

* dotnet: add DefaultAzureCredential warning to remaining samples

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

* dotnet: address PR review feedback

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-11 17:26:00 +00:00
Giles Odigwe c9e2a490be Fix AzureFunctions integration tests — set FUNCTIONS_WORKER_RUNTIME (#6425)
Azure Functions Core Tools v4 can no longer auto-detect the worker
runtime when local.settings.json is absent. Add the required
FUNCTIONS_WORKER_RUNTIME=dotnet-isolated environment variable to
both StartFunctionApp helpers and re-enable the skipped tests.

Fixes: https://github.com/microsoft/agent-framework/issues/6402

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-11 15:09:55 +00:00
westey 12ce099165 .NET: Add LoopAgent capability for Harnesses (#6384)
* Add LoopAgent capability for Harnesses

* Address PR comments.

* Add support for returning user messages and response aggregation

* Support fresh context per iteration with input sessions via cloning

* Add ability to receive newly created sessions via callback

* Address PR comments

* Add judge criteria

* Address PR comments
2026-06-11 15:00:01 +00:00
Matthias Howell 8e1998ddcb .NET: Adds Valkey to chat message history - issue 5445 (#5542)
* Adds Valkey to chat message history

* Address review: switch to Valkey.Glide, add options class, remove context provider

- Switch from StackExchange.Redis to Valkey.Glide 1.1.0 (official Valkey .NET client)
- Extract optional params into ValkeyChatHistoryProviderOptions
- Add JsonSerializerOptions support, remove [RequiresUnreferencedCode]
- Make MaxMessages/MaxMessagesToRetrieve readonly via options
- Remove ValkeyContextProvider (overlaps with ChatHistoryMemoryProvider + MEVD)
- Remove ValkeyProviderScope (only used by context provider)
- Remove connection string constructors (caller manages IConnectionMultiplexer)
- Update samples to use new API and gpt-5.4-mini

* Use type-safe JsonSerializer overloads, remove suppress attributes

Use JsonSerializerOptions.GetTypeInfo() for Serialize/Deserialize calls
to enable NativeAOT/trimming compatibility without suppress attributes.
Default to AgentAbstractionsJsonUtilities.DefaultOptions when no options provided.

Signed-off-by: Matthias Howell <matthias.howell@improving.com>

* Update READMEs: remove context provider references

Remove ValkeyContextProvider and long-term memory references from sample
READMEs since the context provider was removed from this PR. Simplify
Valkey server requirements (no search module needed for chat history).

Signed-off-by: Matthias Howell <matthias.howell@improving.com>

* Apply suggestion from @westey-m

* Fix formatting (dotnet format)

Signed-off-by: Matthias Howell <matthias.howell@improving.com>

* Update dotnet/src/Microsoft.Agents.AI.Valkey/Microsoft.Agents.AI.Valkey.csproj

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

---------

Signed-off-by: Matthias Howell <matthias.howell@improving.com>
Co-authored-by: Matthias Howell <matthias.howell@yoppworks.com>
Co-authored-by: westey <164392973+westey-m@users.noreply.github.com>
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
2026-06-11 13:18:00 +00:00
chetantoshniwal 4149f24791 Python: [Generated by SRE Agent] Fix MCP allowed_tools empty list handling (#6296)
* Fix MCP allowed_tools empty list handling

When allowed_tools is set to an empty list [], the falsy check
'if not self.allowed_tools' incorrectly treats it as unconfigured
(same as None), causing all tools to be exposed. Change to an
explicit 'is None' check so that an empty list correctly results
in no tools being allowed.

Co-authored-by: Azure SRE Agent <noreply@microsoft.com>

* Clarify allowed_tools docstring: None vs [] semantics

Per Eduard's review on PR #6296: explicitly document that None exposes all tools and [] exposes none, across all four MCPTool / MCPStdioTool / MCPStreamableHTTPTool / MCPWebsocketTool docstrings.

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

* allowed_tools docstring: recommend load_tools=False for full disable

Per Eduard's follow-up on PR #6296: `load_tools=False` is the cleaner idiom when you don't want to expose any tools. Reframe `allowed_tools=[]` in the docstring as a runtime guard / inspection-only path and cross-reference `load_tools`.

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

---------

Co-authored-by: Azure SRE Agent <noreply@microsoft.com>
Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-11 06:46:46 +00:00
Peter Ibekwe 3753d938f5 .NET: Bug fixes for declarative workflows (#6427)
* declarative workflow approval flow fix

* Update mcp handler cache construction

* fix method argument.

* Update dotnet/src/Microsoft.Agents.AI.Workflows.Declarative/ObjectModel/InvokeFunctionToolExecutor.cs

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

* Fix identation

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2026-06-10 18:08:32 +00:00
Tamir Dresher 60cc5ee4e4 .NET: Make GitHub.Copilot.SDK build targets reach transitive consumers (#6455) (#6457)
* .NET: Make GitHub.Copilot.SDK build targets reach transitive consumers (#6455)

Microsoft.Agents.AI.GitHub.Copilot now ships a buildTransitive/ bridge so
consumers who only reference this package (the normal use case) get the
GitHub.Copilot.SDK's CLI binary-download MSBuild targets executed at build
time. Without this, the SDK shipped its targets under build/ which NuGet
only auto-imports for projects with a direct PackageReference to the SDK,
so consumers of the adapter package got only the managed .dll, no
copilot.exe in their output, and a runtime InvalidOperationException on
the first RunAsync.

The bridge consists of two files under buildTransitive/:

* Microsoft.Agents.AI.GitHub.Copilot.props is generated at this package's
  pack time and pins the SDK version (from PackageVersion items in
  Directory.Packages.props) into _MicrosoftAgentsAICopilotSdkVersion.

* Microsoft.Agents.AI.GitHub.Copilot.targets is static and imports the
  SDK's own build/GitHub.Copilot.SDK.targets from the NuGet cache using
  the pinned version. The version-pin condition no-ops gracefully if the
  resolved SDK differs from what was baked in (e.g. consumer overrides
  the SDK version directly), so this is purely additive.

Verified by packing locally, restoring from a flat local feed, and
building a transitive-only consumer (PackageReference to MAF only, no
direct SDK ref). copilot.exe lands at bin/{cfg}/{tfm}/runtimes/{rid}/
native/copilot.exe as expected, matching the path the SDK's runtime
CopilotClient looks at.

Fixes #6455

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

* Address Copilot review feedback (#6457)

- buildTransitive/.targets: compute the full SDK targets path with a single
  Path.Combine call into one property (_MicrosoftAgentsAICopilotSdkTargetsPath),
  used in both Project= and Exists() — no more split between Path.Combine for
  the directory and inline / separator for the file name.

- Split the version-defaulting Condition between the two files: the generated
  .props now just bakes the packaged SDK version into a dedicated property
  (_MicrosoftAgentsAICopilotSdkPackagedVersion), and the static .targets file
  is the single place that defaults _MicrosoftAgentsAICopilotSdkVersion to it.
  Removes the need for any MSBuild escape gymnastics in the pack-time string
  construction, and keeps the consumer override path the same.

- _GenerateBuildTransitiveProps now hangs off public BeforeTargets (Build, Pack)
  in addition to _GetPackageFiles, so the file is generated even without a
  full pack, and we're not solely dependent on an underscore-prefixed internal
  target. The <None Pack=true /> items live in a top-level ItemGroup so they
  are collected at evaluation time instead of being added from inside the
  Target.

End-to-end retested with a transitive-only consumer (PackageReference to MAF
only, no direct GitHub.Copilot.SDK ref): copilot.exe lands at
bin/Debug/net10.0/runtimes/win-x64/native/copilot.exe (141.8 MB) as before.

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

---------

Co-authored-by: Tamir Dresher <tamirdresher@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-10 18:07:18 +00:00
Roger Barreto dd29f9aa65 .NET: Hosted Agent Sample - Toolbox with various Auth (#5777) (#6018)
* .NET: Add Hosted-Toolbox-AuthPaths sample and auto-map /readiness with toolbox health gating (#5777)

Add a new hosted agent sample demonstrating five MCP tool authentication paths
(API key, agent MI, project MI, custom OAuth, literal token) via a Foundry Toolbox.

Package changes (Microsoft.Agents.AI.Foundry.Hosting):
- MapFoundryResponses now auto-maps GET /readiness via MapHealthChecks, idempotent
  across Tier 1/2 (AgentHost, already mapped) and Tier 3 (WebApplication, gap filled).
- AddFoundryResponses registers AddHealthChecks() so the pipeline is available.
- AddFoundryToolboxes registers FoundryToolboxHealthCheck on the /readiness aggregate,
  gating readiness on pre-registered toolbox startup outcome (per spec section 3.1).
- FoundryToolboxService now exposes StartupStatus and FailedToolboxNames properties.

New types:
- FoundryToolboxStartupStatus (public enum): Pending, Healthy, Failed, NoEndpoint.
- FoundryToolboxHealthCheck (internal IHealthCheck): adapts startup status to the
  AspNetCore HealthChecks pipeline with failed toolbox names in result data.

Tests:
- 3 new tests for /readiness auto-mapping (Tier 3 default, pre-mapped skip, idempotent).
- 4 new tests for FoundryToolboxHealthCheck (Pending, NoEndpoint, Failed, Healthy).
- 3 enhanced FoundryToolboxServiceTests with StartupStatus assertions.

* .NET: Align FoundryToolboxService with tools-integration-spec (#5777 Part A)

Bring Microsoft.Agents.AI.Foundry.Hosting's toolbox path into compliance with
tools-integration-spec.md sections 2-4, 6.3, and 9. Empirically validated
against tao-foundry-prj: the previous code (reading FOUNDRY_AGENT_TOOLSET_ENDPOINT,
which the platform never injects) silently registered zero tools in production.

Package changes (Microsoft.Agents.AI.Foundry.Hosting):

- FoundryToolboxService.StartAsync now derives the toolbox proxy base URL from
  the platform-injected FOUNDRY_PROJECT_ENDPOINT and constructs the per-toolbox
  URL as {FOUNDRY_PROJECT_ENDPOINT}/toolboxes/{name}/mcp?api-version={ApiVersion}
  per spec sections 2-3. The legacy FOUNDRY_AGENT_TOOLSET_ENDPOINT env var is
  removed outright (preview package, no production consumers).
- FoundryToolboxOptions.ApiVersion default flipped to 'v1' to match spec example.
- FoundryToolboxBearerTokenHandler always sends the mandatory
  Foundry-Features: Toolboxes=V1Preview header per spec section 2, merging any
  additional flags supplied via the FOUNDRY_AGENT_TOOLSET_FEATURES env var.
- FoundryToolboxBearerTokenHandler token scope changed from
  https://cognitiveservices.azure.com/.default to https://ai.azure.com/.default
  per spec section 4.
- FoundryToolboxBearerTokenHandler propagates W3C trace context (traceparent,
  tracestate, baggage) from Activity.Current per spec section 6.3.

Sample changes:

- Hosted-Toolbox-AuthPaths and Hosted-Toolbox Program.cs, README.md, and
  .env.example corrected to describe the actual env-var contract
  (FOUNDRY_PROJECT_ENDPOINT auto-injected; AZURE_AI_PROJECT_ENDPOINT as the
  local-dev fallback). Removes the misleading 'auto-injected by Foundry runtime'
  claims for FOUNDRY_AGENT_TOOLSET_ENDPOINT.
- Hosted-Toolbox-AuthPaths/agent.manifest.yaml declares the toolbox and model
  dependencies under resources[] per the AgentManifest schema so azd ai agent
  init users get them provisioned automatically.

Tests:

- 4 new FoundryToolboxServiceTests covering env-var derivation, EndpointOverride
  precedence, trailing-slash normalization, and the existing NoEndpoint behavior
  under the new env var name.
- 4 new FoundryToolboxBearerTokenHandlerTests covering token scope, mandatory
  feature header always present, header merging with override, no duplicate
  mandatory flag, trace context propagation from Activity.Current, and no
  override of caller-set traceparent.
- New FoundryProjectEndpointEnvFixture xUnit collection definition serializes
  env-var-mutating tests across FoundryToolboxServiceTests and
  FoundryToolboxHealthCheckTests, preventing parallel-execution races.
- FoundryToolboxHealthCheckTests adjusted for the new env var name.

* .NET: Drop ACA prereq from Hosted-Toolbox-AuthPaths README (#5777 Part B)

Empirically verified that any Azure Cognitive Services MCP endpoint already in
the Foundry project (e.g., a Language service MCP) accepts Entra tokens and can
serve Paths 2 and 3 without deploying a separate Azure MCP Server to ACA.

README updates:
- Step 0 rewritten: 'Identify an Entra-authenticated MCP target in your project'
  instead of 'Deploy Azure MCP Server to Azure Container Apps' (the original
  azmcp-foundry-aca-mi setup is now optional, not required).
- Auth-paths matrix updated to describe AAD-based connections targeting a
  Cognitive Services MCP URL (e.g., Language service) instead of an ACA URL.
- Step 2 connections table updated: the Entra ID category is now a single 'AAD'
  authType. The original 'Agent Identity' vs 'Project Managed Identity' as
  selectable connection sub-types is NOT exposed via the ARM control plane
  today; the platform selects the calling principal contextually. Both
  connections in the walkthrough share the same shape and target.
- Added an explicit RBAC note: the agent identity AND project MI must hold the
  required role (typically Cognitive Services User) on the target resource;
  without it the MCP server returns HTTP 401 even though the connection wiring
  is correct.
- Toolbox tool entries renamed lang_entra_agent / lang_entra_project to
  match the new connection names.

Empirical validation supporting these changes is captured in the session
plan.md (Part B addendum).

* .NET: Document correct connection shape for Hosted-Toolbox-AuthPaths Paths 2/3 (#5777)

Updates the sample README with the verified connection shape and RBAC procedure
for Microsoft Entra agent-identity and project-managed-identity MCP authentication:

- Connection authType values: AgenticIdentityToken (agent identity) and
  ProjectManagedIdentity (project MI), both with category=RemoteTool.
- Top-level audience property required; for Cognitive Services targets the value
  is https://cognitiveservices.azure.com.
- Connections created via ARM REST (the Foundry portal wizard does not yet
  expose these authTypes).
- RBAC grants target the project's shared agent identity blueprint principal
  (project.properties.agentIdentity.agentIdentityId) for Path 2 and the
  project's system-assigned MI (project.identity.principalId) for Path 3.
- Troubleshooting table updated with the audience-mismatch symptom and the
  startup-cache behavior of FoundryToolboxService.

* .NET: Drop Path 3 (project MI) and align with new agent model in Hosted-Toolbox-AuthPaths (#5777)

Updates the sample to use only the new Foundry agent object model and removes
the project managed identity path:

- Auth-path matrix reduced to four paths: key, Entra agent identity, custom
  OAuth, inline authorization. Project managed identity is moved into a note
  describing when it applies (multiple agents sharing access) rather than as
  a documented sample path.
- RBAC instructions reference the agent's own instance_identity.principal_id
  from the agent ARM resource (new agent object model) instead of the
  project's shared agent identity blueprint (legacy model).
- Step 2 (connections) creates only the AgenticIdentityToken connection.
- Step 3 (toolbox tools) lists four tool entries instead of five.
- Sample prompts and troubleshooting table updated to match.

* .NET: Restore Path 3 (project MI) to Hosted-Toolbox-AuthPaths matrix (#5777)

The sample's purpose is to enumerate every authentication path a Foundry toolbox
can drive, not to pick one. Path 3 belongs alongside the other four with
explicit guidance for when each path is the right choice.

- Path 3 (project managed identity, authType=ProjectManagedIdentity) restored
  to the matrix with a 'When to pick this' column.
- Step 2 (connections) provisions both lang-mcp-agent-id and lang-mcp-project-mi
  via ARM REST.
- Step 3 (toolbox) lists five tool entries (one per path).
- RBAC instructions cover both the agent's instance identity (Path 2) and the
  project's system-assigned MI (Path 3).
- Sample prompts include all five paths.
- Troubleshooting table updated accordingly.

* .NET: Fix duplicate line in Hosted-Toolbox-AuthPaths README (#5777)

* .NET: Fix broken markdown link to ToolCallingApprovalHostedAgentFixture (#5777)

* .NET: Fix relative path depth in markdown link (#5777)

* .NET: Address Copilot review feedback for #5777

- FoundryToolboxHealthCheck description: rename FOUNDRY_AGENT_TOOLSET_ENDPOINT
  → FOUNDRY_PROJECT_ENDPOINT (stale reference; operator-facing in /readiness body).
- FoundryToolboxStartupStatus.NoEndpoint XML doc: same rename.
- ServiceCollectionExtensions XML docs: same rename + URL shape update.
- Foundry.Hosting.IntegrationTests.TestContainer: remove explicit
  app.MapGet('/readiness') — now redundant + would conflict with the
  auto-mapped readiness route from MapFoundryResponses.
- Hosted-Toolbox-AuthPaths agent.manifest.yaml: parameterize TOOLBOX_NAME via
  {{TOOLBOX_NAME}} template substitution and declare it under parameters with a
  default of 'auth-paths-toolbox' so the README's 'use any name' guidance
  actually works for hosted deployments.

* .NET: Address Copilot review round 2 — fallback env + dedup + naming (#5777)

- FoundryToolboxService.StartAsync: fall back to AZURE_AI_PROJECT_ENDPOINT when
  FOUNDRY_PROJECT_ENDPOINT is absent. Matches the local-dev convention used by
  the samples and resolves the doc/code mismatch flagged in review.
- FoundryToolboxHealthCheck description updated for the fallback.
- AddFoundryToolboxes: guard against duplicate health-check registration via an
  explicit name-uniqueness check on HealthCheckServiceOptions.Registrations.
  AddCheck<T>(name, ...) does not dedupe by name, so repeated AddFoundryToolboxes
  calls would have registered multiple instances.
- FoundryToolboxOptions.EndpointOverride doc: clarify URL becomes
  {EndpointOverride}/toolboxes/{name}/mcp (was missing /toolboxes/ segment).
- Hosted-Toolbox sample (Program.cs + README): switch FOUNDRY_TOOLBOX_NAME to
  TOOLBOX_NAME (the FOUNDRY_* prefix is reserved by the platform), default
  changed from 'my-toolset' to 'my-toolbox', terminology updated from 'Toolset'
  to 'Toolbox'.
- FoundryToolboxServiceTests: 2 test renames to reflect what they actually
  assert (StartupStatus + FailedToolboxNames, not URL shape directly).
- Tests adjusted to clear both env vars in NoEndpoint scenarios.

* .NET: Fix stale NoEndpoint XML doc and misleading test comment (#5777)

Update FoundryToolboxStartupStatus.NoEndpoint XML doc to mention both
FOUNDRY_PROJECT_ENDPOINT and AZURE_AI_PROJECT_ENDPOINT (the service
checks both since the fallback was added).

Fix test comment that claimed URL derivation validation when the test
only asserts on StartupStatus and FailedToolboxNames.

* Remove OAuth consent path from AuthPaths sample, keep four working auth paths

The interactive OAuth identity passthrough path needs a protocol gap closed in the
hosting package (the proprietary oauth_consent_request item is not representable
through the OpenAI/MEAI abstractions), so it is deferred to a separate spike branch.

This strips the OAuth path from the AuthPaths sample, the companion REPL client, the
agent manifest, and the docs, then renumbers the inline Authorization path so the
sample teaches four contiguous paths: API key via connection, Entra agent identity,
Entra project managed identity, and inline Authorization (anti-pattern).

Package code is unchanged; the consent infrastructure already present in main stays
as baseline. Both samples build with --warnaserror and all 246 hosting unit tests pass.

* .NET: Drop project MI auth path and dedicated client from Hosted-Toolbox-AuthPaths (#5777)

Live validation against tao-foundry-prj showed the ProjectManagedIdentity
path failing with an unresolved token audience 401, so the sample now ships
three working auth paths instead of four: connection key, agent managed
identity, and inline Authorization.

Changes:
- Remove the project managed identity path from the AuthPaths sample matrix,
  prerequisites, connections, toolbox table, prompts, Program.cs instructions
  and agent.manifest.yaml.
- Delete the near duplicate Hosted-Toolbox-AuthPaths-Client project and remove
  it from the solution. The README now drives the agent with the shared
  SimpleAgent REPL via AsAIAgent(agentEndpoint).
- Correct the troubleshooting note: the Foundry toolbox tools/list is all or
  nothing, so one bad source returns -32007, fails startup, and returns 424
  for every path. Add the allowed_tools caveat that names must match the
  upstream server.
- Mark the toolbox startup status and health check experimental under
  AgentsAIExperiments (MAAI001) instead of AIOpenAIResponses, and update the
  package NoWarn set accordingly.

* .NET: Address PR review nits for Hosted-Toolbox-AuthPaths (#5777)

- Remove duplicated NU1903 comment in Foundry.Hosting csproj.

- Fix stale 'four-tool' cross-links in Hosted-Toolbox and Hosted-McpTools READMEs to describe the three-path toolbox driven by the shared SimpleAgent REPL.

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

* .NET: Address toolbox startup-status review feedback (#5777)

- Rename FoundryToolboxStartupStatus.Failed to Unhealthy so it is the proper opposite of Healthy, and clarify the doc comment covers the partial-failure case.

- Raise the missing-endpoint toolbox log from Information to Warning, since enabling toolboxes is an explicit opt-in and a silently disabled toolbox warrants a higher-severity signal.

- Update unit tests and the AuthPaths README troubleshooting row accordingly.

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

* .NET: Reword toolbox-wiring comment to avoid hosting-layer internals (#5777)

Address PR review feedback: explain how a Foundry Toolbox is attached using the public API (AddFoundryToolboxes vs the CreateHostedMcpToolbox marker) and observable behavior, instead of naming the internal AgentFrameworkResponseHandler type and FoundryToolboxService.Tools property.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-10 16:49:48 +00:00
Giles Odigwe a5f4e0078e .NET: Fix .NET Copilot integration tests for SDK v1.0.0 (#6424)
* Fix .NET Copilot integration tests for SDK v1.0.0

- Remove hard-skip in favor of runtime Assert.Skip when COPILOT_GITHUB_TOKEN is not set
- Add [Trait("Category", "Integration")] for CI filtering
- Fix FunctionTool test: use explicit SessionConfig with Tools, OnPermissionRequest, and SystemMessage
- Mark RemoteMcp test as IntegrationDisabled (requires OAuth flow)
- Create explicit sessions in all tests and delete after each (cleanup)
- Remove unused System.Diagnostics import
- Simplify SkipIfCopilotNotConfigured to only check env var

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

* Address review: use try/finally for session cleanup, IsNullOrWhiteSpace

- Wrap act/assert in try/finally so sessions are always deleted even on failure
- Use IsNullOrWhiteSpace instead of IsNullOrEmpty for token check

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

* Add COPILOT_GITHUB_TOKEN to .NET integration test workflow

The Copilot SDK runtime reads this env var directly for authentication.
No Node.js/npm install needed - the SDK downloads the CLI binary at build time.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-10 15:41:48 +00:00
westey 3c0c12cd46 .NET: Update release version for 2026-06-10 release and switch GH.CP Agent to RC (#6454)
* Update release version for 2026-06-10 release

* Switch GitHub.Copilot to RC
2026-06-10 15:26:23 +00:00
westey 8dde9ef627 Python: HarnessAgent: Disable compaction when max tokens not provided (#6410)
* HarnessAgent: Disable compaction when max tokens not provided

* Fix regression.

* Address PR comments

* Require max_output_tokens to be positive

Reject max_output_tokens=0 (must be positive), mirroring
max_context_window_tokens. Addresses PR review feedback.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-10 13:57:23 +00:00
Giles Odigwe 93cbf6b3f0 Python: Parse MCP CallToolResult.structuredContent field to prevent tool results returning None (#6421)
* Parse structuredContent from MCP CallToolResult (#3313)

The _parse_tool_result_from_mcp method only iterated over the content
field from CallToolResult, ignoring the structuredContent field entirely.
MCP servers that return JSON data via structuredContent (e.g., Power BI
MCP) appeared to return None.

Add handling for structuredContent: when present, serialize it as JSON
text and append it to the result list. This preserves the data for the
LLM while maintaining backward compatibility with existing behavior.

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

* Python: Parse MCP CallToolResult.structuredContent field to prevent tool results returning None

Fixes #3313

* Address review feedback: add default=str to json.dumps and remove .checkpoints/

- Add default=str to json.dumps for structuredContent serialization so
  non-JSON-serializable values (e.g. bytes) degrade gracefully instead
  of raising TypeError
- Remove all .checkpoints/ runtime artifacts from the repository
- Add **/.checkpoints/ to .gitignore to prevent future accidental commits
- Add test for non-serializable structuredContent values

Fixes #3313

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

* Address review feedback for #3313: Python: MCP CallToolResult.structuredContent field is not parsed, causing tool results to return None

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-10 12:51:09 +00:00
Eduard van Valkenburg 9a56bc9f16 Python: [BREAKING] Add sampling guardrails to MCP tools (#6413)
* Add sampling guardrails to MCP tools

Add approval, token, and request-count controls to the MCP sampling
callback used when an MCPTool is configured with a chat client.

- Add `sampling_approval_callback`, `sampling_max_tokens`, and
  `sampling_max_requests` parameters to `MCPTool` and its
  `MCPStdioTool`, `MCPStreamableHTTPTool`, and `MCPWebsocketTool`
  subclasses, positioned directly after `client`.
- Gate each server-initiated `sampling/createMessage` request behind the
  approval callback, which denies by default when no callback is provided.
- Clamp the requested `maxTokens` to `sampling_max_tokens` and enforce a
  per-session request count via `sampling_max_requests`.
- Log incoming sampling requests at WARNING level (counts only).
- Export `SamplingApprovalCallback` from the public API.
- Add tests, a sample, and documentation updates.

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

* Make sampling denial message context-aware

Distinguish the deny-by-default case (no approval callback configured)
from an explicit denial by a configured `sampling_approval_callback`, so
the returned ErrorData message is accurate for callback-driven denials
and exceptions.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-10 10:17:36 +00:00
Copilot cea83bd8d5 .NET: Bump Microsoft.Extensions.AI packages to 10.6.0, align transitive dependency floor, and update Merge Gatekeeper ignores (#6148)
* Bump Microsoft.Extensions.AI packages to 10.6.0

* Align transitive package versions for Microsoft.Extensions.AI 10.6.0

* Ignore external review check in Merge Gatekeeper

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
2026-06-10 10:02:22 +00:00
Eduard van Valkenburg 7ae73a68d6 Remove broken Atomic Agents docs link (#6442)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-10 09:07:51 +00:00
Copilot 3daed114ee Python: bump package versions for 1.8.1 release (#6420)
* Python: bump package versions for 1.8.1 release

* Python: bump agent-framework-foundry-hosting for 1.8.1 release

* Python: bump ag-ui and azurefunctions for 1.8.1 release

* Remove incorrect agent-framework-foundry changelog entry for #6259

* Add [1.8.1] changelog compare link and update [Unreleased] base

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
2026-06-09 21:27:42 +00:00
Ben Thomas 5e097276a0 .NET: Add Foundry Deployment docs to HA sample READMEs (#6365)
* Add 'Deploying to Foundry (azd spec)' sections to all Foundry hosted agent samples

This commit adds comprehensive deployment documentation to all 13 .NET Foundry hosted agent samples that were missing it. Each sample now includes:

- Instructions to initialize an azd project from the sample's agent.manifest.yaml
- Steps to deploy using 'azd deploy'
- Example environment variable overrides for customization
- Link to the official Foundry deployment guide

Samples updated:
- Hosted-LocalTools
- Hosted-Files
- Hosted-FoundryAgent
- Hosted-McpTools
- Hosted-Observability
- Hosted-MemoryAgent
- Hosted-TextRag
- Hosted-ToolboxMcpSkills
- Hosted-AzureSearchRag
- Hosted-AgentSkills
- Hosted-Workflow-Handoff
- Hosted-Workflow-Simple
- Hosted-Invocations-EchoAgent

Each section includes the correct agent name from the sample's manifest and points to the correct GitHub URL for initializing the azd project.

Fixes: https://github.com/microsoft/agent-framework/issues/6308

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

* Potential fix for pull request finding

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

* docs(samples): fix Foundry hosted README consistency

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

* docs(samples): address PR 6365 README review comments

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

---------

Co-authored-by: Ben Thomas <25218250+alliscode@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-06-09 19:40:36 +00:00
Taisir Hassan 383d551b86 Purview: Parallelize PSPC cold-cache scope refresh (#5832)
* Parallelize Purview PSPC cold cache path

* Cache Purview payment-required state for scope refresh

* Cache Purview payment-required state for scope refresh

* Align Purview policy action dedupe and 402 caching

 Deduplicate combined policy actions by action and restriction action so restriction-only actions are preserved
without duplicating identical entries. Cache tenant-level payment-required state from background scope refresh so
subsequent calls short-circuit consistently.

* .NET: Implement best-effort caching for background job scope retrieval and add unit tests for cache write failures

* Purview - feat: Enhance ScopedContentProcessor to queue ContentActivityJob when no applicable scopes are found and update related tests

* docs: Update purview package README and AGENTS documentation to reflect caching optimizations and policy enforcement scenarios

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-09 18:01:21 +00:00
Hasan Ghomi 2a345e5d3b .NET: Fix Magentic to share agent replies across team (#6222)
* Fix Magentic to share agent replies across team

The per-round instruction was sent untargeted (fan-out delivered it to
every participant) and replies were never relayed, so a later speaker saw
the prior speaker's instruction but not its response - inverted from
GroupChatHost and the Python reference.

- Target the instruction at the selected speaker only.
- Broadcast each reply to the other participants (buffered, no TurnToken),
  excluding the responder via _currentSpeakerExecutorId, mirroring
  GroupChatHost.
- Persist _currentSpeakerExecutorId across checkpoints.
- Add a regression test.

* Address review feedback: null-guard, explicit checkpoint key, drop vacuous assertion

* Address review feedback: centralize checkpoint keys, clear current speaker

- Move CurrentSpeakerStateKey into MagenticConstants as
  nameof(CurrentSpeakerStateKey)
- Clear _currentSpeakerExecutorId in ResetAndReplanAsync and
  PrepareFinalAnswerAsync so a checkpoint taken in those windows does not
  persist a stale speaker
- Add UTF-8 BOM to RecordingEchoAgent.cs to satisfy the format check.
2026-06-09 17:00:42 +00:00
chetantoshniwal 632f67b92e Python: [Generated by SRE Agent] docs: clarify checkpoint storage security model and deserialization trust boundaries (#6295)
* docs: clarify checkpoint storage security model and deserialization trust boundaries

Add Security Model documentation sections to the checkpoint encoding and
Azure Functions serialization modules explaining:
- Checkpoint storage is a trusted data source requiring access controls
- The RestrictedUnpickler allowlist is defense-in-depth, not a security boundary
- Developer responsibilities for securing storage backends
- Guidance on using allowed_types and strip_pickle_markers

Co-authored-by: Azure SRE Agent <noreply@microsoft.com>

* Apply suggestions from code review

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

---------

Co-authored-by: Azure SRE Agent <noreply@microsoft.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-06-09 16:53:48 +00:00
Shawn Henry 5e6eb6f121 New logo in banner (#6380) 2026-06-09 16:41:28 +00:00
Shawn Henry dbfacbfc4a New Microsoft Agent Framework logos (#6378) 2026-06-09 15:56:56 +00:00
Willow Lopez 29cec0d27b Python: fix: use getattr for non-OpenAI provider response compatibility (#6270)
* fix: use getattr for non-OpenAI provider response compatibility

Fixes #6234
Fixes #6235

Use getattr with None fallback for system_fingerprint and output
attributes to prevent AttributeError when non-OpenAI providers
return response objects without these fields.

* fix: use typed variable for response output to satisfy pyright

Fixes #6235

Use getattr with None fallback for the output attribute, and assign
to a typed list variable before the match statement to help pyright
narrow the response item types correctly.

* fix: rename response_outputs to avoid name collision with case-block variable

Fixes #6235

Rename outputs to response_outputs on line 1974 to avoid mypy error
about conflicting variable names in the match statement's case blocks.
Also use list[Any] for explicit generic type annotation.

* fix: use cast(list[Any]) for response output to satisfy pyright

Fixes #6235

The getattr() call returns Unknown type which pyright cannot narrow
in the match statement. Use an explicit cast to list[Any].

* fix: use hasattr guard instead of getattr for response.output

Fixes #6235

Using hasattr(response, 'output') and then accessing response.output
directly gives pyright enough type information to verify the match
statement exhaustiveness. This avoids the cast(list[Any]) approach
which pyright still flagged as partially unknown.

* fix: use ternary operator for response_outputs assignment

Replace if-else block with ternary expression to satisfy ruff SIM108 lint rule.
This fixes the Package Checks (3.11) CI failure.

* fix: use ternary with cast for ruff SIM108 and pyright type safety

Replace if-else block with ternary expression using cast(list[Any], ...)
to satisfy:
- ruff SIM108 (use ternary instead of if-else)
- ruff E501 (line length < 120)
- pyright type narrowing (cast preserves type info lost in ternary)

All local checks pass: ruff check, ruff format, pyright, 298 tests.

* fix: replace hasattr+cast with try/except to preserve pyright types

---------

Co-authored-by: Tao Chen <taochen@microsoft.com>
2026-06-09 15:17:39 +00:00
westey 96d242fa7f .NET: Remove required token params from HarnessAgent, make compaction opt-in (#6409)
* Move token params from HarnessAgent constructor to options

Remove the required maxContextWindowTokens and maxOutputTokens
constructor parameters from HarnessAgent and AsHarnessAgent, replacing
them with optional MaxContextWindowTokens and MaxOutputTokens properties
on HarnessAgentOptions.

When both values are provided, compaction is enabled as before (in-loop
CompactionProvider and chat reducer on the default InMemoryChatHistory
Provider). When either is null, compaction is disabled entirely, making
it opt-in.

New constructor: HarnessAgent(IChatClient, HarnessAgentOptions?,
ILoggerFactory?, IServiceProvider?)

Closes #6333

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

* Improving comments.

* feat: Add custom CompactionStrategy and DisableCompaction to HarnessAgentOptions

Allow users to provide their own CompactionStrategy via options, with
a clear priority system:
1. DisableCompaction=true: no compaction regardless of other settings
2. Custom CompactionStrategy provided: use it (token params ignored)
3. Both MaxContextWindowTokens and MaxOutputTokens set: default strategy
4. Otherwise: no compaction

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

* fix: Address PR review comments on compaction opt-in

- Update chatClient param XML doc to reflect compaction is opt-in
- Strengthen compaction tests to assert ChatReducer is null/not-null
  rather than just asserting construction succeeds

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-09 13:06:00 +00:00
MaciejWarchalowski 9486c76ef8 .NET: Add Reasoning to ChatClientAgent ChatOptions merging (#5463)
* Add reasoning option to request chat options in ChatClientAgent

* Add tests for ChatOptions reasoning merging in ChatClientAgent

---------

Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
2026-06-09 11:25:31 +00:00
SergeyMenshykh caa75f7cdd Python: Add Foundry Toolbox MCP skills hosted agent sample (#6363)
* Add 12_foundry_toolbox_mcp_skills hosted agent sample

Demonstrates using MCPSkillsSource with a Foundry Toolbox MCP endpoint
to discover and serve skills via SkillsProvider (progressive disclosure).

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

* Fix env var reference in README and reuse local var in main.py

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

* Potential fix for pull request finding

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

* Require AZURE_AI_MODEL_DEPLOYMENT_NAME and use placeholder in .env.example

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

* Document Toolbox MCP skills vs Foundry Skills in sample README

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

* Reference 12_foundry_toolbox_mcp_skills in parent README

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

---------

Co-authored-by: SergeyMenshykh <SergeMenshikh@outlook.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-06-09 08:38:19 +00:00
Eduard van Valkenburg cfb033e5d4 Python: Filter MCP tool kwargs to declared params via allowlist (#6399)
* Filter MCP tool kwargs to declared params via allowlist

Previously MCPTool combined framework runtime kwargs (from
FunctionInvocationContext.kwargs) with the LLM-supplied arguments and
stripped only a hardcoded denylist of known framework keys before
forwarding to the MCP server. Any new framework-injected kwarg leaked to
the server unless the denylist was updated.

Switch to an allowlist built from each tool's declared parameters
(inputSchema.properties). Only declared params are forwarded; everything
else is stripped. Add an `additional_tool_argument_names` constructor
argument so users can opt extra names back in, globally (Sequence[str])
and/or per remote tool name (Mapping with reserved "*" global key). The
existing denylist is kept as a safety net for framework-named params a
server declares in its schema; explicitly opted-in extras always win. The
reserved _meta handling is unchanged.

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

* Address MCP allowlist review comments and fix reload arg loss

- Fix pyright reportUnknownArgumentType in _load_tools (cast schema properties).
- Register declared param names before the existing-tool skip guard so that
  tool-list reloads preserve the allowlist for already-loaded tools (previously
  unchanged tools silently dropped all declared args after a background reload).
- Handle bare-string values in an additional_tool_argument_names mapping instead
  of iterating their characters.
- Clarify the framework denylist comment: explicit extras override the denylist.
- Make the extras-override-denylist test unambiguous (opt in a denylisted name).

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-09 07:37:11 +00:00
Yufeng He d222079df9 .NET: fix: preserve AG-UI session history (#5904)
* fix: preserve AG-UI session history

* refactor: use static AG-UI provider check
2026-06-09 07:06:13 +00:00
Giles Odigwe e89e745bc0 Python: feat(claude): bump claude-agent-sdk to 0.2.87 (#6248)
* feat(claude): bump claude-agent-sdk to 0.2.87

Upgrade claude-agent-sdk dependency from >=0.1.36,<0.1.49 to >=0.2.87,<0.3.

Changes:
- Bump version pin in pyproject.toml
- Add 'xhigh' effort level to ClaudeAgentOptions (Opus 4.7 specific)
- Expose new upstream SDK options: skills, session_id, task_budget,
  include_hook_events, strict_mcp_config, continue_conversation,
  fork_session
- Add TaskBudget type import
- Update uv.lock

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

* chore: lower claude-agent-sdk floor to >=0.1.36

Keep the lower bound at 0.1.36 since the 0.1→0.2 transition was additive
and our code works on older versions as long as new options aren't used.
This avoids forcing unnecessary upgrades on existing users.

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

* fix: replace TaskBudget import with inline type for SDK compat

TaskBudget was added in claude-agent-sdk 0.2.93 but does not exist in
0.2.87. Use dict[str, int] inline type instead so type checking passes
against 0.2.87. Lock file pinned to 0.2.87.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-09 06:01:55 +00:00
westey bad05a2bdc Python: Harness console for python (#6312)
* Add initial harness console for python

* Add textual to project

* Add planning and approval flows with list selector

* Address PR comments

* Fix list selection bug

* Fix PR #6312 round 2 review comments

- Escape untrusted agent text with rich.markup.escape() in observers
  (text_output, planning_output, reasoning_display) to prevent markup injection
- Remove non-functional 'Always approve' choices from tool_approval.py
  (framework lacks CreateAlwaysApproveToolResponse support)
- Remove textual from root pyproject.toml dev deps (sample-specific)
- Add PEP 723 inline script metadata to harness_research.py
- Narrow except Exception to except NoMatches in list_selection.py

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

* Fix build error

* Fix build errors

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-09 05:48:35 +00:00
Eduard van Valkenburg 7e0767a0a0 Python: Fix per-service-call history persistence with server-storing clients (#6310)
* Fix per-service-call history persistence with server-storing clients

When an Agent set require_per_service_call_history_persistence=True together
with a HistoryProvider, and the chat client stored history server-side by
default (e.g. OpenAIChatClient, STORES_BY_DEFAULT=True), the external history
provider was silently never persisted.

Unify persistence on the per-service-call middleware: when the flag is set and
a HistoryProvider exists, the middleware is always installed and owns
persistence. service_stores_history now only selects middleware behavior:
- service does not store: load providers and drive the function loop with a
  local sentinel conversation id, or
- service stores: skip loading (the service owns history) and persist each
  service call while the real conversation id flows through.

Also rationalize chat-options handling in _prepare_run_context:
- _merge_options now skips None overrides and strips remaining None values, so
  an unset `store` is never forwarded and the service decides its own default.
- Resolve `store` and `conversation_id` once from a single combined view
  (effective_options) instead of probing both default and runtime dicts; the
  auto-injection and per-service-call resolution now agree on conversation_id.

Fixes #5798

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

* Correct as_agent() docstring: persistence is per service call, not once per run

Address PR review: when the client stores history server-side, the
per-service-call middleware still persists after each model call; only
provider loading is skipped. The previous "persist once per run()" wording
contradicted the implementation.

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

* Address PR review: docs, missing-conversation-id warning, and tests

- Clarify that require_per_service_call_history_persistence is a no-op when no
  HistoryProvider is present (docstrings in _agents.py and _clients.py).
- Warn on every service call when the client stores history server-side but
  returns no conversation_id, so the (uncommon) loss of cross-turn resumability
  cannot fail silently.
- Add tests: storing client + existing conversation_id does not raise and the id
  propagates; two runs on the same session keep persisting with a stable
  service_session_id and no provider loading; storing-without-conversation-id
  warns per call.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-09 05:47:57 +00:00
Giles Odigwe af772997af .NET: [BREAKING] Migrate .NET GitHub Copilot SDK to v1.0.0 (#6381)
* Migrate .NET GitHub Copilot SDK from 1.0.0-beta.2 to 1.0.0

- Update namespace from GitHub.Copilot.SDK to GitHub.Copilot
- Replace PermissionRequestResult/PermissionRequestResultKind with PermissionDecision
- Remove ConnectionState check (StartAsync is now idempotent)
- Rename ConfigDir to ConfigDirectory
- Use SessionConfig.Clone() for CopySessionConfig
- Update Tools type from List<AIFunction> to List<AIFunctionDeclaration>
- Rename UserMessageAttachmentFile to AttachmentFile
- Update usage data types (CacheWriteTokens: long, Duration: TimeSpan)
- Add GHCP001 NoWarn for experimental SDK APIs (matches framework convention)
- Specify type argument on CopilotSession.On<SessionEvent>()

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

* Fix formatting: remove unused using directive

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

* Skip AzureFunctions SamplesValidation tests pending func tools fix

Azure Functions Core Tools v4 can no longer auto-detect the worker
runtime in CI (local.settings.json is gitignored). All 7 active
SamplesValidation tests fail with 'Worker runtime cannot be None'.

Tracked by: https://github.com/microsoft/agent-framework/issues/6402

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

* Skip additional failing integration tests in CI

WorkflowSamplesValidation (5 tests): same func tools issue as #6402.
WorkflowConsoleAppSamplesValidation (4 tests): KeyNotFoundException
during workflow execution, tracked by #6404.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-08 22:34:05 +00:00
westey b343625c1f .NET: Add approval bypassing to harness as the default (#6387)
* Add approval bypassing to harness as a default

* Add tests

* Address PR comments.
2026-06-08 17:50:41 +00:00
Evan Mattson 9bc7b27813 Match AG-UI approval responses to requested arguments (#6376) 2026-06-08 16:33:16 +00:00
westey 6a2efeae7c .NET: [BREAKING] Fix hosting bugs (#6388)
* Fix hosting bugs

* Address PR comments
2026-06-08 16:17:54 +00:00
Vedant Sonani 6169df04cb Python: fix(mem0): isolate entity retrieval and correct app_id payload (#6242)
* fix(mem0): parallel memory retrieval logic and strict type compliance

* fix(mem0): align parallel retrieval types for pyright and mypy

* fix(mem0): handle asyncio.CancelledError in search response and update test description

* fix(mem0): improve error handling for asyncio.CancelledError and update test names for clarity

* fix(mem0): improve retrieval response handling
2026-06-08 13:50:23 +00:00
Peter Ibekwe 331201294b .NET: Fix single-column value unwrap in declarative workflow (#6367)
* Fix single-column value unwrap in declarative workflow

* Added more tests
2026-06-08 11:37:12 +00:00
Yufeng He fa9e086576 fix: preserve foreach record values (#6208) 2026-06-05 22:01:59 +00:00
Tao Chen dcc218dbac Python: feat(python): Add MCP client OTel spans per GenAI semantic conventions (#6349)
* feat(python): Add MCP client OTel spans per GenAI semantic conventions

Implement MCP client spans per the OTel GenAI Semantic Conventions for MCP
(https://opentelemetry.io/docs/specs/semconv/gen-ai/mcp/#client).

Operations instrumented:
- initialize: CLIENT span capturing MCP session setup
- tools/list: CLIENT span for tool listing (per-page)
- prompts/list: CLIENT span for prompt listing (per-page)
- tools/call: CLIENT span (nested under execute_tool when called via FunctionTool)
- prompts/get: CLIENT span

Span attributes follow the MCP semantic conventions:
- Required: mcp.method.name
- Conditional: error.type, gen_ai.tool.name, gen_ai.prompt.name
- Recommended: gen_ai.operation.name, mcp.protocol.version, mcp.session.id,
  network.transport, server.address, server.port

Transport-specific attributes per subclass:
- MCPStdioTool: network.transport=pipe
- MCPStreamableHTTPTool: network.transport=tcp, network.protocol.name=http
- MCPWebsocketTool: network.transport=tcp, network.protocol.name=websocket

All span creation gated behind OBSERVABILITY_SETTINGS.ENABLED.

Closes #3624
Closes #4697

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

* refactor: simplify MCP spans — remove enrichment logic and protocol version caching

- Always create nested CLIENT spans for tools/call instead of enriching
  the parent execute_tool span
- Remove _ACTIVE_TOOL_EXECUTION_SPAN contextvar (no longer needed)
- Remove enrich_span_with_mcp_attributes() helper
- Remove _otel_error_type preservation in FunctionTool.invoke()
- Remove _mcp_protocol_version instance variable; protocol version is
  only set on the initialize span where it is available

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

* Refine copilot solution

* fix: enable automatic exception recording on MCP spans

Remove record_exception=False and set_status_on_exception=False from
create_mcp_client_span. Let OTel handle exception recording and status
setting automatically. The manual set_mcp_span_error calls for tools/call
still correctly set error.type (which OTel's automatic handling doesn't
touch), so tool_error is preserved.

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

* Reduce number of lines

* Add comment to sample

* test: address PR review comments on MCP observability tests

- Fix initialize test to call mocked session.initialize() and read
  protocolVersion from the result instead of hardcoding it
- Add tools/call McpError error-path test
- Add prompts/get McpError error-path test

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

* Fix export error

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-05 19:23:01 +00:00
westey 6bd2cfec03 .NET: [BREAKING] Add auto-approval rules (heuristics) to ToolApprovalAgent (#6335)
* Add support for approving tools via heuristic rules

* Address PR comments

* Address PR comments

* Apply suggestion from @SergeyMenshykh

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

---------

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
2026-06-05 18:43:07 +01:00
westey ab8ba8fc61 .NET: Allow storage of auto-approved functions (#4950)
* Allow storage of auto-approved functions

* Address PR comments
2026-06-05 18:42:21 +01:00
Tao Chen 9cafd7e58b Python: Refactor workflow as agent pending request handling (#6259)
* WIP: Refactor Workflow as agent pending request handling

* WIP: debugging empty message bug

* Working: Workflow as agent with function approval

* Address Copilot comments

* Fix mypy

* Address comments and fix pipeline

* Request info non function approval now becomes function call

* Revert uv.lock

* Fix mypy

* Bump min version of azure-ai-project

* Remove RequestInfoFunctionArgs

* fix tests

* Fix failing tests

* Fix sample
2026-06-05 17:23:19 +00:00
cooleryu d5335fbeae Python (fix:gemini): make Gemini honor declarative outputSchema, not just JSON mode (#5893)
* fix(gemini): preserve schema response_format

* fix(gemini): satisfy pyright strict in response schema extraction

Cast Any-narrowed mappings to Mapping[str, Any] in the structured-output
schema helpers so pyright strict no longer reports partially-unknown
member, argument, and variable types. Pass response_format["format"]
straight into the recursive extractor, which already guards non-mapping
inputs. No behavior change.

* fix(gemini): use Sequence[object] cast to satisfy both mypy and pyright

The Sequence[Any] cast pyright strict needs to know the loop element type
is reported as a redundant-cast by mypy, which already narrows the
isinstance branch to Sequence[Any]. Cast to Sequence[object] instead:
pyright gets a fully known element type and mypy no longer sees an
identical-type cast. No behavior change.

---------

Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
2026-06-05 15:17:51 +00:00
Peter Ibekwe bf4ad48cf2 Python: MCP long-running task support in Python (#6319)
* MCP long-running task support in Python

* Fix pyupgrade and AGENTS.md reconnect description

- pyupgrade: drop forward-reference string annotations in _mcp.py (Python 3.10+ resolves them natively now that MCPTaskOptions is defined before use).

- AGENTS.md: align reconnect description with current behavior. Phase 1 (initial tools/call) does NOT retry on connection loss; raises 'connection lost; task state unknown' instead, so a server that accepted the request but lost the response cannot start the operation twice. Phase 2 (tasks/get / tasks/result) still reconnects once against the same task_id.

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

* Fix bandit nosec marker for CI pipeline

* Address PR feedbacks

* Clarifiied comments and addressed more PR feedbacks.

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-05 00:04:55 +00:00
Giles Odigwe 01fc518b29 Python: bump package versions for 1.8.0 release (#6351)
- Released cohort (core, openai, foundry, root): 1.7.0 -> 1.8.0
- agent-framework-github-copilot: promote to RC (1.0.0rc1)
- agent-framework-orchestrations: rc2 -> rc3 (bug fix)
- Beta/alpha packages with changes: a2a, anthropic, azurefunctions, bedrock,
  foundry-hosting, mistral bumped to new date stamp (260604)
- Inter-package dependency bounds updated for changed packages
- CHANGELOG.md and PACKAGE_STATUS.md updated

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-04 23:03:24 +00:00
Giles Odigwe f3c3efed43 Python: Add GitHub Copilot integration tests to CI workflows (#6346)
Add a dedicated integration test job for the github_copilot package to both
python-integration-tests.yml and python-merge-tests.yml.

The job:
- Runs 6 integration tests marked with @pytest.mark.integration
- Uses COPILOT_GITHUB_TOKEN secret from the integration environment
- Follows the same pattern as other provider integration jobs
- Includes path filtering in merge-tests (github_copilot package + core changes)
- Added to needs lists in report and check jobs

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-04 22:06:26 +00:00
neerajkaram bbccb7c28c .NET: Bump ModelContextProtocol from 1.1.0 to 1.2.0 (#3956) (#6239)
Co-authored-by: Neeraj Karamchandani <neerajkaramchandani@mac.mynetworksettings.com>
2026-06-04 21:51:15 +01:00
Tao Chen dbc312a78a Python: Fix toolbox consent flow in hosted agent (#6249)
* Fix toolbox consent flow in hosted agent

* Resolve conflict

* Make unused tool as comment

* Fix tests
2026-06-04 20:28:59 +00:00
SergeyMenshykh bb9ed63a34 .NET: Restructure skill script schemas XML and remove resources from body (#6343)
* Restore UTF-8 BOMs and fix BuildScriptSchemasBlock doc comment

- Restore UTF-8 BOM on all changed files to match repo convention
- Fix XML doc: <schema name=...> -> <schema script=...> to match emitted output

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

* Address PR review comments: fix doc remarks and rename tests

- Update script doc remarks to clarify only parameter schemas are included
- Fix grammar: 'arguments format' -> 'argument format'
- Rename misleading test methods to match actual assertions
- Clarify comment about removed wrapper element

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

---------

Co-authored-by: SergeyMenshykh <SergeMenshikh@outlook.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-04 21:15:29 +01:00
Evan Mattson 6b94315161 Python: Add timeout parameter to FoundryAgent to fix ConnectTimeout on multi-turn conversations (#6263)
* Python: fix ConnectTimeout on multi-turn FoundryAgent conversations (#6241)

Expose a `timeout` parameter on `RawFoundryAgentChatClient`,
`_FoundryAgentChatClient`, `RawFoundryAgent`, `FoundryAgent`, and
`RawOpenAIChatClient` so callers can override the HTTP timeout used by
the underlying AsyncOpenAI client.

Root cause: `RawFoundryAgentChatClient.__init__` called
`project_client.get_openai_client()` without configuring any timeout,
inheriting the OpenAI SDK default of `httpx.Timeout(connect=5.0)`.
When connections are recycled between turns under load, the 5 s connect
timeout fires and surfaces as `openai.APITimeoutError`.

Fix:
- `load_openai_service_settings` (`_shared.py`): accept `timeout` and
  include it in `client_args` for all three `AsyncOpenAI`/
  `AsyncAzureOpenAI` construction paths.
- `RawOpenAIChatClient.__init__` (`_chat_client.py`): accept `timeout`
  and forward to `load_openai_service_settings`.
- `RawFoundryAgentChatClient.__init__` (`_agent.py`): accept `timeout`
  and set `openai_client.timeout = timeout` on the client returned by
  `get_openai_client()` before passing it to the base class.
- `_FoundryAgentChatClient`, `RawFoundryAgent`, `FoundryAgent`: accept
  and propagate `timeout` through the construction chain.

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

* Add timeout parameter to FoundryAgent and RawOpenAIChatClient

Expose a timeout parameter on RawFoundryAgentChatClient,
_FoundryAgentChatClient, RawFoundryAgent, FoundryAgent, and
RawOpenAIChatClient. When provided, the value is applied to the
underlying AsyncOpenAI client so that connect timeouts under load
or after connection recycling can be tuned by callers.

Previously, get_openai_client() was called without any timeout
override, so the SDK default of httpx.Timeout(connect=5.0) was
inherited and could fire on multi-turn conversations where the
underlying connection is recycled between turns.

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

* Python: Add `timeout` parameter to `FoundryAgent` to fix `ConnectTimeout` on multi-turn conversations

Fixes #6241

* fix(foundry): use with_options to avoid mutating shared OpenAI client timeout (#6241)

Replace direct assignment  with
 in
RawFoundryAgentChatClient.__init__.

The Azure AI Projects SDK caches and returns a shared AsyncOpenAI client
per AIProjectClient. Mutating its .timeout attribute leaked the override
to all other code paths sharing that client (other agents, user code).
with_options() returns a new client instance with the override applied,
leaving the original shared client untouched.

Update tests to assert with_options is called with the correct timeout
and that the original shared client's timeout attribute is not mutated.

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

* test(foundry): assert with_options return value flows to instance.client (#6241)

The four timeout propagation tests verified that with_options was called
but did not confirm that the returned (timeout-configured) client was
actually stored on the instance. A silent discard of the return value
would have left the tests green while the timeout had no effect.

Each test now captures the constructed instance and asserts:
  assert <instance>.client is openai_client_mock.with_options.return_value

Affected tests:
- test_raw_foundry_agent_chat_client_init_applies_timeout_to_openai_client
- test_raw_foundry_agent_chat_client_init_applies_timeout_with_preview_enabled
- test_foundry_agent_chat_client_init_propagates_timeout
- test_foundry_agent_init_propagates_timeout_to_openai_client

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

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-04 18:25:18 +00:00
Yufeng He bc0e65d716 fix: drop hosted MCP calls when reasoning is stripped (#6210) 2026-06-04 18:11:24 +00:00
Evan Mattson 4268080c20 Python: Fix spurious Magentic custom manager warning (#6261)
* Fix magentic manager warning

* Use typing_extensions.Sentinel for _MISSING sentinel value

Replace the bare object() sentinel with typing_extensions.Sentinel per
PEP 661 (now final). Sentinel provides a proper name and repr
('<_MISSING>') and is the idiomatic approach going forward.

Refs #4306

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

* fix: correct Sentinel type annotation for max_stall_count param (#6261)

Use int | Sentinel for max_stall_count parameter type annotation instead
of int with cast(Any, _MISSING) to properly express that the parameter
can hold either an int or the _MISSING sentinel value. This fixes the
pyright reportUnnecessaryComparison errors caused by the types int and
Sentinel having no overlap.

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

* Rename _MISSING sentinel to UNSET in orchestrations

The sentinel is user-visible as a default in public init signatures, so
use UNSET (no leading underscore) instead of the private _MISSING name.
Drop the now-unnecessary reportPrivateUsage ignores on the UNSET imports.

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

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-04 08:59:04 +00:00
Giles Odigwe fe08574a7c Python: [BREAKING] Upgrade github-copilot-sdk to v1.0.0 (stable) (#6292)
* Python: Upgrade github-copilot-sdk to v1.0.0 (stable)

Upgrade agent-framework-github-copilot from github-copilot-sdk 1.0.0b2 to the
stable 1.0.0 release, adapting to all breaking API changes.

Source changes (_agent.py):
- SubprocessConfig removed: use RuntimeConnection.for_stdio(path=...) +
  CopilotClient kwargs (connection, log_level, base_directory)
- Import paths: copilot.generated.session_events -> copilot.session_events
- Settings: copilot_home -> base_directory (env GITHUB_COPILOT_BASE_DIRECTORY)
- Default deny handler: PermissionDecisionUserNotAvailable() (from
  copilot.generated.rpc)

Test changes:
- Updated imports and client-construction assertions (kwargs-based)
- Permission handler tests use concrete decision types
  (PermissionDecisionApproveOnce, PermissionDecisionDeniedInteractivelyByUser)

Sample changes:
- Permission handlers use PermissionHandler.approve_all or sync
  approve_and_log pattern (v1.0.0 protocol v3 dispatch is incompatible
  with blocking input() in permission handlers)
- Function approval sample uses asyncio.to_thread for interactive prompts
- Simplified imports across all samples

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

* Address PR review: scope permission handlers, widen type, add test

- Shell sample: only approve kind='shell', deny others
- URL sample: only approve kind='url', deny others
- Use getattr() for kind-specific attributes to satisfy pyright
- Widen PermissionHandlerType to accept async handlers (matches SDK)
- Add test for _deny_all_permissions return value

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

* Fix validation script and strengthen test assertion

- Update scripts/sample_validation/create_dynamic_workflow_executor.py to
  use copilot.session_events imports and PermissionHandler.approve_all
- Assert isinstance(result, PermissionDecisionUserNotAvailable) instead of
  stringly-typed kind check

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

* Add integration tests for GitHubCopilotAgent

Add 6 integration tests mirroring .NET coverage:
- Basic non-streaming response
- Streaming response
- Function tool invocation
- Session context (multi-turn)
- Session resume by ID
- Shell command execution

Tests require COPILOT_GITHUB_TOKEN env var (skipped otherwise).
Each test cleans up its Copilot session via delete_session.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-04 08:42:35 +00:00
Eduard van Valkenburg f970a699d8 Python: Fix compaction message-id collisions and tool-loop summary persistence (#6299)
* Fix compaction message-id collisions and tool-loop summary persistence

Fixes two bugs in the compaction strategies:

- #5237: incremental group annotation assigned message ids by position
  within the re-annotated slice, so moving the re-annotation start back to
  a previous group start restarted ids at 0 and produced collisions
  (e.g. a user message reusing an assistant message's id), merging groups
  and causing tool-result compaction to wrongly exclude messages.
  group_messages/_ensure_message_ids now take an id_offset and guard
  against existing-id collisions; annotate_message_groups threads the
  slice start index through as the offset.

- #4991: the function-invocation loop copied the message list each
  iteration, so summaries inserted by compaction landed in a throwaway
  copy and were lost across tool-loop iterations (only the persistent
  excluded flags survived). _prepare_messages_for_model_call now compacts
  the list in place when messages is a list, so inserted summaries persist.

Adds regression tests (incremental id uniqueness, existing-id collision
avoidance, idempotency, and tool-loop summary persistence including
streaming and conversation-id modes).

Also adds a summarization.py sample demonstrating SummarizationStrategy
directly with a real client, and reworks advanced.py with tool-call
groups and a real summarizer.

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

* Guard incremental message-id assignment against prefix-id collisions

Addresses PR review on #5237: _ensure_message_ids only guarded against
collisions within the re-annotated slice. A preexisting (e.g. user-supplied)
id in the preserved prefix could still be reassigned in the suffix when the
id was numerically out of position, merging groups across the re-annotation
boundary again.

group_messages/_ensure_message_ids now accept reserved_ids, and
annotate_message_groups passes the preserved prefix's ids so auto-assigned
suffix ids never collide across the full list. Adds a regression test
reproducing the out-of-position prefix-id collision.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-04 08:37:59 +00:00
Yufeng He f29bae8fbc Python: run sync tools off the event loop (#5773)
* fix: run sync tools off event loop

* chore: silence harness tool marker type check
2026-06-04 04:42:08 +00:00
Peter Ibekwe c3901a4ddd Fix Observability/WorkflowAsAnAgent sampl (#6316) 2026-06-03 23:52:50 +00:00
Evan Mattson ba617fc3b5 Don't count dependabot prs as part of the limit (#6317) 2026-06-04 08:31:36 +09:00
Ben Thomas afa7834e2e Updating dotnet package versions for 1.9 release (#6314)
Co-authored-by: Ben Thomas <25218250+alliscode@users.noreply.github.com>
2026-06-03 20:03:21 +00:00
semenshi-m c6951c21f6 Python: Add MCP-based skills discovery (McpSkillsSource) (#6169)
* Add MCP-based skills discovery (McpSkill, McpSkillsSource, McpSkillResource)

Implement Agent Skills discovery over MCP following the SEP-2640 convention:
- McpSkillsSource: reads skill://index.json to discover skills served by an MCP server
- McpSkill: lazily fetches SKILL.md content via resources/read on demand
- McpSkillResource: wraps MCP resource results (text and binary)
- Path traversal protection in get_resource for defense in depth
- Samples for Foundry Toolbox and standalone MCP skills server
- Comprehensive unit tests (514 lines)

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

* Address PR review comments: rename to MCP* convention, fix error handling and samples

- Rename McpSkill/McpSkillResource/McpSkillsSource to MCPSkill/MCPSkillResource/MCPSkillsSource
- Add data-URI prefix stripping for blob resource decoding
- Let non-McpError exceptions propagate from get_resource()
- Fix contradictory test comment
- Use interactive input() in mcp_based_skill sample
- Remove misleading sample output block

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

* Restore debug logging for McpError in get_resource()

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

* Use AzureCliCredential in Foundry toolbox skills sample for consistency

Replace DefaultAzureCredential with AzureCliCredential to match the
credential convention used in all other samples.

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

* Use MCPStreamableHTTPTool in MCP skills sample

Replace raw mcp library imports (ClientSession, streamable_http_client)
with the framework's MCPStreamableHTTPTool to keep MCP server connections
consistent regardless of whether skills are enabled.

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

* Branch on McpError.error.code so only not-found errors return empty

Previously _try_read_index() and get_resource() swallowed every McpError
as 'no skills available', making auth failures, server crashes, and
connection drops indistinguishable from a server that simply has no
skills.

Now only two codes are treated as not-found:
- -32002 (MCP-spec Resource not found)
- -32601 (METHOD_NOT_FOUND — server lacks resources/read)

All other McpError codes and non-McpError exceptions propagate with a
warning log, surfacing real failures visibly.

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

* Add tests for non-McpError and non-not-found error propagation in MCP skills

Cover the re-raise branch in MCPSkill.get_resource for plain
ConnectionError/TimeoutError, the generic McpError (code 0) propagation
on get_resource, and TimeoutError propagation in _try_read_index.

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

* Revert "Use MCPStreamableHTTPTool in MCP skills sample"

This reverts commit f31ed0ded914e094f3ac5d811997b2cefc55836b.

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

* Introduce MCP_SKILLS experimental feature for MCP skill classes

Add a separate MCP_SKILLS feature ID to ExperimentalFeature enum and
use it for MCPSkillResource, MCPSkill, and MCPSkillsSource, since their
promotion timeline is partly outside of our control.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-03 18:09:50 +00:00
westey a982428916 .NET: Bug fixes for AGUI hosting and workflows (#6311)
* Add mcp tool execution fix

* Apply IsolationKeyScopedAgentSessionStore to MapAGUI by default if not yet set and improve comments in samples

* Address PR comments

* Fix formatting
2026-06-03 17:45:58 +00:00
westey 90a3e5de47 .NET: Add ILoggerFactory and IServiceProvider to HarnessAgent constructor (#6273)
* Add ILoggerFactory and IServiceProvider to HarnessAgent constructor

Add optional ILoggerFactory and IServiceProvider parameters to the
HarnessAgent constructor and AsHarnessAgent extension method, passing
them to all downstream components that accept them:

- FunctionInvokingChatClient (via UseFunctionInvocation)
- CompactionProvider
- AgentSkillsProvider
- ChatClientAgent (via BuildAIAgent)
- AIAgentBuilder.Build()

Closes #6103

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

* Improve tests to verify ILoggerFactory and IServiceProvider propagation

- Add test verifying ILoggerFactory.CreateLogger() is called by
  downstream components (CompactionProvider, AgentSkillsProvider)
- Add test verifying IServiceProvider is queried during pipeline build

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-03 09:09:39 +00:00
Eduard van Valkenburg 49a6e433a3 Python: progressive tool exposure via FunctionInvocationContext (#6233)
* Python: progressive tool exposure via FunctionInvocationContext

Add first-class progressive tool exposure to the Python core function-calling
loop. Tools can now add or remove real FunctionTool schemas at runtime via the
injected FunctionInvocationContext, taking effect on the next iteration of the
loop.

- FunctionInvocationContext gains a live `tools` list plus experimental
  `add_tools()` / `remove_tools()` helpers (feature: PROGRESSIVE_TOOLS).
- The function-calling loop establishes a run-local, normalized tools list and
  threads it into the context at both invocation paths so mutations propagate.
- Add a sample (dynamic_tool_exposure.py) and a tools samples README, including
  a note that CodeAct providers (Monty/Hyperlight) use their own provider-level
  tool management instead.

Supersedes #3877.

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

* Validate non-negative input in dynamic_tool_exposure sample tools

Address review feedback: factorial and fibonacci now return an error
message for negative n instead of producing incorrect results.

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

* Make add_tools atomic and surface swallowed function errors

Address review feedback on progressive tool exposure:

- add_tools now validates the full batch against a throwaway copy before
  committing, so a duplicate-name clash partway through a sequence leaves
  the live tool list unchanged (all-or-nothing).
- _auto_invoke_function now logs a warning (with traceback) when a tool
  raises, so contract errors such as a duplicate-name ValueError from
  add_tools are debuggable without enabling include_detailed_errors.

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

* Avoid retaining tracebacks when logging swallowed function errors

Logging with exc_info=exc fed the exception traceback to the logging
machinery, whose frame references created reference cycles collected
lazily by the cyclic GC. On Windows that could drop a hyperlight
WasmSandbox on a non-owning thread ("unsendable, dropped on another
thread"), crashing the xdist worker. Log a pre-formatted message with
the exception repr instead, so no traceback object is retained.

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

* added missing decorator

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-03 09:01:07 +00:00
Peter Ibekwe 6086a74302 Python: Promote agent-framework-declarative package to RC (#6256)
* Promote agent-framework-declarative package to RC

* Update missed package status file.
2026-06-02 19:30:05 +00:00
Benke Qu fa8cfb7567 Python: Fix FoundryAgent stripping model from PromptAgent requests (#5526)
* Fix FoundryAgent stripping model from PromptAgent requests

Move run_options.pop('model', None) inside the _uses_foundry_agent_session()
conditional so that model is only stripped for hosted agent sessions (where
the server manages the model) and preserved for PromptAgent requests that
require it in the Responses API call.

Fixes #5525

* test: add coverage for resp_* continuation preserving model

Adds test_raw_foundry_agent_chat_client_prepare_options_preserves_model_for_resp_continuation
to explicitly verify that HostedAgent v1 / v2-no-session paths (where conversation_id
starts with resp_) preserve model and previous_response_id without triggering the
hosted-session gate.

---------

Co-authored-by: Benke Qu <bequ@microsoft.com>
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
2026-06-02 18:30:04 +00:00
Peter Ibekwe 6de4c24fdd .NET: Promote Workflows.Declarative packages to stable versions (#6254)
* Promote Workflows.Declarative packages to stable versions

* Address PR feedback: enable package validation on GA declarative packages

Both Workflows.Declarative and Workflows.Declarative.Mcp set IsReleased=true

but were disabling package validation, bypassing the repo's GA convention

(see dotnet/nuget/nuget-package.props which auto-enables validation when

IsReleased=true).

Re-enable validation by removing the local EnablePackageValidation=false

overrides and pointing PackageValidationBaselineVersion at 1.8.0-rc1 (the

latest published version of each package). This catches accidental breaking

changes between RC and the first GA. Future GAs should bump the baseline to

the previous GA version.

Verified locally: dotnet build -c Release on both projects runs

RunPackageValidation -> APICompat ran successfully without finding any

breaking changes.

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

* Update statement for the baseline validation.

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-02 15:10:02 +00:00
Dineshsuriya D a5f355e04a Python: Fix OTLP HTTP base-endpoint losing /v1/{signal} auto-append (#5913)
* Python: Fix OTLP HTTP base-endpoint losing /v1/{signal} auto-append

Per the OTel spec, OTEL_EXPORTER_OTLP_ENDPOINT is a *base* URL for HTTP —
the SDK auto-appends /v1/traces, /v1/metrics, /v1/logs when it reads the
env var directly. Signal-specific endpoint env vars are *full* URLs used
verbatim.

_get_exporters_from_env read the base endpoint and forwarded it as the
constructor ``endpoint=`` argument, which the SDK always treats as a full
signal URL. As a result, with OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318
and HTTP protocol, the exporter sent to http://localhost:4318 instead of
http://localhost:4318/v1/traces (and likewise for metrics/logs).

Replicate the spec's auto-append here when falling back to the base
endpoint under HTTP. gRPC behavior is unchanged.

* Python: Fix mypy type errors in OTLP endpoint assignment

Pre-declare traces_endpoint, metrics_endpoint, logs_endpoint as
str | None before the if/else block. Mypy inferred str from the
if-branch f-string assignments and then rejected the str | None
expressions in the else-branch as incompatible.
2026-06-02 09:59:50 +00:00
semenshi-m 0cf48923cd .NET: Add Hosted-ToolboxMcpSkills sample (#6175)
* .NET: Add Hosted-ToolboxMcpSkills sample

Adds a hosted Foundry Responses sample that discovers MCP-based skills from a Foundry Toolbox and makes them available to the agent via AgentSkillsProvider.

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

* Align README and Program.cs default model to gpt-5

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

* Clarify MCP skills provider log to avoid implying eager discovery

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

* Drop redundant skills provider configured log

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

* Add Foundry Toolbox Skills tag to manifest

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

* Simplify BearerTokenHandler by deriving from HttpClientHandler

Removes the need for an explicit InnerHandler. Enables CheckCertificateRevocationList to satisfy CA5399.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-02 08:41:21 +00:00
Giles Odigwe cdc4809b8a ci: harden Python test coverage workflow (#5982)
Improve input handling and token management in the Python test coverage
workflows.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-02 07:43:08 +00:00
Hameed Kunkanoor 043208241a Python: Persist hosted MCP call/results as canonical mcp_call output (#6070)
* Persist hosted MCP call/results as canonical mcp_call output

- Preserve hosted MCP call/result pairs as canonical mcp_call output items

- Coalesce MCP call + result in non-streaming conversion path

- Keep call-id alignment for MCP tool call tracking and output mapping

- Update tests and package metadata

* Fix missing Mapping import in hosted responses adapter

* Fix pyright unknown type in MCP output stringification

* Fix typing for MCP output sequence iteration

* Improve MCP output robustness and avoid eager flattening

* Bump foundry_hosting to b7 and update responses dependency to b7

* Restore foundry_hosting package version to 1.0.0a260521

* Refactor hosted MCP output parsing
2026-06-02 07:30:36 +00:00
Yufeng He 05ebb966cf fix: skip orphan anthropic thinking signatures (#5784) 2026-06-02 00:48:42 +00:00
Evan Mattson c83a944e85 Fix open pr count check (#6255) 2026-06-02 09:09:36 +09:00
Thota Sai Karthik 5d98beddf5 Python: feat(bedrock): implement native structured output support via Converse API (#6052)
* feat(bedrock): add structured output support via Converse API (Fixes #5966)

* fix(bedrock): improve unsupported model exception handling and schema parsing

* refactor(bedrock): use generic traversal for strict schema enforcement

* address Copilot review comments on structured output

* refine bedrock structured output: guard additionalProperties, TypeError check, docs + test

* fix(bedrock): widen response_format to Mapping and add missing test coverage
2026-06-01 23:30:19 +00:00
Ben Thomas e0d0ad16a0 Python: feat(evals): Foundry Adaptive Evals integration (rubric-generation) (#6101)
* Python: feat(evals): RubricScore type + EvalScoreResult.dimensions

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

* Python: feat(foundry-evals): RubricDimension + GeneratedEvaluatorRef + accept in evaluators=

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

* Python: feat(evals): parse rubric_scores from output items + assertion helpers

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

* Python: feat(evals): BaseAgent.as_eval_source / Workflow.as_eval_source

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

* Python: feat(foundry-evals): EvalGenerationSource + generate_rubric helper

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

* Python: feat(foundry-evals): YAML config loader + sample

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

* Python: fix(evals): address PR review feedback

Addresses 4 Copilot review comments on PR #6101:

1. assert_dimension_score_at_least: drop the (not evaluator or found_any) guard so require_applicable=True correctly raises when the named evaluator produces no entries for the dimension. Adds TestRubricAssertions covering the regression.

2. GeneratedEvaluatorRef docstring: reword to describe actual behaviour (pinning recommended, not required) so it matches the dataclass default and FoundryEvals warning path.

3. _poll_generation_job: switch from asyncio.get_event_loop() to get_running_loop() and bound the per-iteration sleep by remaining time, matching _poll_eval_run.

4. generate_rubric: type category as Literal['quality','safety'] and validate at the entry point with a ValueError; drop the silent 'invalid -> quality' rewrite in _generation_job_to_ref. Adds a regression test.

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

* Python: feat(foundry-evals): hosted-agent-aware rubric generation

* Auto-detect hosted Foundry agents in agent_as_eval_source: when the
  agent's chat_client exposes a string agent_name (the convention used
  by RawFoundryAgentChatClient for PromptAgents/HostedAgents), emit a
  type='agent' EvalGenerationSource so the service fetches instructions
  and tools from the agent registry instead of relying on the local
  wrapper (which holds neither for hosted agents).
* Add hosted_agent_version kwarg and a new agent_version field on
  EvalGenerationSource so PromptAgent runs can pin to a specific hosted
  version for reproducible rubric generation.
* Add force_prompt_source escape hatch to bypass auto-detection and
  always emit a rendered prompt dossier - useful when the local wrapper
  carries overrides the service-side agent doesnt see.
* Fix _to_sdk_source for dataset sources: SDK ctor takes name=/version=,
  not dataset_name=/dataset_version=. The mismatch would raise TypeError
  against the real azure-ai-projects 2.3.0a* SDK; only unmocked
  integration paths were affected.

Tests cover: auto-detection happy path, versionless hosted agent,
explicit hosted_agent_version forwarding, force_prompt_source override,
non-string chat_client attrs (MagicMock test doubles) not mis-detected,
agent_version forwarded through _to_sdk_source, and the corrected
dataset SDK kwarg names.

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

* fix(foundry-evals): accept canonical dimension_scores key per docs

The published Foundry rubric-evaluator output (Microsoft Learn 'Rubric evaluators' reference) places per-dimension breakdowns under properties.dimension_scores, not properties.rubric_scores. The parser now tries dimension_scores first and falls back to rubric_scores for preview-build compatibility, and tolerates non-list payloads (e.g. MagicMock auto-attrs) by trying the next candidate when parsing yields zero entries.

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

* feat(foundry-evals): add manual create_rubric_evaluator

Adds FoundryEvals.create_rubric_evaluator as the agent-framework surface over project_client.beta.evaluators.create_version. This is the manual counterpart to generate_rubric: callers supply RubricDimension instances (authored locally, ported from another framework, or hand-tuned) and we POST a RubricBasedEvaluatorDefinition. The service auto-attaches the non-editable residual dimension (general_quality for quality, general_policy_compliance for safety).

Per the Microsoft Learn 'Rubric evaluators' reference, the auto-generation path (create_generation_job) is primarily a portal/UI feature; external SDK clients with rich local agent context are better served by manual create_version. This keeps generate_rubric for users who want to round-trip through a Foundry-registered agent.

Validation up front: weight must be in [1,10], ids unique, descriptions non-empty, pass_threshold in [0,1]. The returned GeneratedEvaluatorRef is identical in shape to one obtained from generate_rubric, so downstream evaluators= lists work unchanged.

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

* samples(foundry-evals): manual rubric sample + namespace re-exports

Adds evaluate_with_manual_rubric_sample.py demonstrating the end-to-end dev scenario for FoundryEvals.create_rubric_evaluator: hand-author a list of RubricDimension, register via create_rubric_evaluator, then use the pinned GeneratedEvaluatorRef alongside built-in evaluators in an agent regression run.

Also re-exports RubricDimension, GeneratedEvaluatorRef, build_sources, and load_evals_config from agent_framework.foundry (both the lazy runtime shim and the type stub) so the rubric samples can import everything from a single namespace; the auto-generate sample was previously broken because the shim was missing build_sources / load_evals_config.

Updates the foundry-evals README with a chooser entry for the two rubric paths.

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

* feat(foundry-evals): remove rubric creation flows; keep consumption only

Reframes agent-framework as a pure consumer of Foundry rubric evaluators: scoring against rubrics that already exist (authored in the Foundry portal or via the dedicated SDK / REST surface) instead of creating them from the SDK.

Removed creation surface area:

- FoundryEvals.generate_rubric (auto-generate path) and create_rubric_evaluator (manual path), plus all _GenerationSdkTypes / _ManualRubricSdkTypes / _to_sdk_dimensions / _coalesce_generation_sources / _to_sdk_source / _poll_generation_job / _generation_job_to_ref / _evaluator_version_to_ref / _get_beta_evaluators / _import_*_sdk_types helpers.

- EvalGenerationSource (the input source discriminator), RubricDimension (the input dimension type), agent_as_eval_source / workflow_as_eval_source / _detect_hosted_foundry_agent helpers, and the YAML-config loader (_evals_config.py with RubricGenerationSpec / RubricSourceSpec / parse_evals_config / load_evals_config / build_sources).

- BaseAgent.as_eval_source / Workflow.as_eval_source plus the _render_agent_dossier / _render_workflow_dossier helpers in core. These existed only to feed the now-removed generation pipeline.

- Samples evaluate_with_generated_rubric_sample.py, evaluate_with_manual_rubric_sample.py, and evaluators.yaml. Replaced with a short README section showing how to reference an existing rubric evaluator via GeneratedEvaluatorRef.

Kept (consumption surface):

- GeneratedEvaluatorRef, slimmed to (name, version, display_name). Still accepted alongside built-in evaluator strings in FoundryEvals(evaluators=[...]). Versionless refs still warn.

- RubricScore on EvalScoreResult.dimensions plus EvalResults.assert_dimension_score_at_least for per-dimension CI gates.

- _parse_dimension_entries / _extract_rubric_scores output parsing (both canonical dimension_scores and the legacy rubric_scores key).

Tests: 160/160 foundry unit tests and 71/71 core local-eval tests pass; pyright is clean across changed files. The pre-existing tests/core/test_telemetry.py::test_detect_hosted_fallback_import_error failure is unrelated and reproduces on the prior commit.

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

* samples(foundry-evals): add evaluate_with_rubric_sample

Adds a runnable end-to-end sample showing how to consume a pre-existing rubric evaluator created in Foundry: reference it with GeneratedEvaluatorRef(name, version), mix it with built-in evaluators in FoundryEvals, and gate CI with assert_dimension_score_at_least on a specific dimension.

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

* fix(foundry-evals): satisfy mypy on _fetch_output_items

mypy infers OutputItemListResponse.sample as dict[str, object] | None while pyright correctly infers the typed Sample model. Cast to Any so both type checkers accept the attribute access pattern, rename the local to avoid shadowing the inner-loop sample binding, and drop the now-stale pyright suppressions.

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

* docs(foundry-evals): drop unpublished rubric-evaluators learn.microsoft.com link

The Adaptive Evals authoring docs are not yet published on Microsoft Learn, so the link 404s. Keep the descriptive text without the broken hyperlink; we can re-add it once the docs ship.

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

* test(foundry-evals): hoist repeated local imports to module top

Per code review feedback (eavanvalkenburg): the test file repeated 'from agent_framework_foundry._foundry_evals import ...' inside 22 test bodies and 'from agent_framework_foundry import GeneratedEvaluatorRef' inside 8 more. Move all of them to the existing top-level imports; the symbols are the same across tests and the local imports were redundant.

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

---------

Co-authored-by: Ben Thomas <25218250+alliscode@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-01 23:01:56 +00:00
Evan Mattson f36096ce1a Python: Fix core observability unsafe serialization of function-call arguments containing dataclass/framework objects (#6026)
* fix: safely serialize function-call arguments in core observability

Apply make_json_safe() to content.arguments in _to_otel_part() before
building the otel message dict, so that dataclass/framework payloads
(e.g. workflow request_info events) do not cause a TypeError when
_capture_messages() calls json.dumps().

Lift make_json_safe() into agent_framework._serialization (no new
external deps — dataclasses/datetime only) so the core observability
path can use it without a dependency on the ag-ui adapter.

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

* fix(core): safely serialize workflow request_info payloads in observability (#5733)

- Add make_json_safe() helper to recursively convert non-serializable objects
- Use make_json_safe() in _to_otel_part() for function_call arguments
- Fix CustomPayload test class to use @dataclass (resolves B903 lint error)

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

* fix(serialization): guard callability and normalize dict keys in make_json_safe (#5733)

- Use callable(getattr(obj, method, None)) instead of hasattr() so that
  non-callable attributes named model_dump/to_dict/dict do not raise
  TypeError at runtime.
- Wrap each call in try/except TypeError to handle callables with
  mandatory arguments gracefully.
- Convert dict keys to str() so that non-string keys (e.g. datetime,
  int) cannot cause json.dumps to raise TypeError.
- Add regression tests for both scenarios.

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

* Address observability serialization review feedback

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-01 21:41:52 +00:00
Ben Thomas 03e14ca187 .NET: Update hosted agents (#6243)
* Updating to latest Foundry hosting packages.

* Re-applying .gitignore.

* Adding empty line at end of .gitignore

---------

Co-authored-by: Ben Thomas <25218250+alliscode@users.noreply.github.com>
2026-06-01 21:27:29 +00:00
Ben Thomas b298113d15 .NET - Fix missing id on function_call_output in Foundry Hosting (#6246)
* Fix missing id on function_call_output in Foundry Hosting

The Foundry storage layer was rejecting responses with
"ID cannot be null or empty (Parameter 'id')" because
function_call_output items emitted by OutputConverter had no id on
the wire.

OutputItemFunctionToolCallOutput's public ctor only sets CallId and
Output; Id is read-only and only the SDK's internal ctor populates
it. OutputItemBuilder<T>.ApplyAutoStamps fills ResponseId and
AgentReference but not Id, so the itemId passed to
AddOutputItem<T>(itemId) was used only for event sequencing and the
serialized item went out with id=null.

Switch to stream.OutputItemFunctionCallOutput(callId, output), the
SDK convenience method that uses the internal ctor and stamps the
id. Add a regression test asserting the added/done events carry a
non-empty matching Id.

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

* ci: free disk space and relocate NuGet cache on ubuntu runners

The ubuntu-latest dotnet-build/test jobs were hitting No space left on device because the runner image only ships ~14 GB free on /. The full multi-TFM build plus the dotnet pack + console-app install-check exhausts that easily.

Add a reusable composite action .github/actions/free-runner-disk-space that runs on Linux runners only and:

* removes pre-installed toolchains we never use here (Android SDK, GHC/Haskell, CodeQL, PyPy, Ruby, Go, boost, vcpkg, etc.), prunes docker images, and disables swap (reclaims ~25-30 GB on /)

* relocates the NuGet package cache to /mnt/nuget via NUGET_PACKAGES env, since /mnt has ~75 GB free on hosted runners

Wire the action into the four ubuntu-touching jobs in dotnet-build-and-test.yml (dotnet-build, dotnet-test, dotnet-foundry-hosted-it, dotnet-test-functions). The action self-guards with runner.os == 'Linux' so the matrix legs that run on windows are unaffected.

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

---------

Co-authored-by: alliscode <25218250+alliscode@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-01 18:43:45 +00:00
Eduard van Valkenburg 8091d052d8 Python: refresh dev dependencies and validate runtime bounds (#6238)
Updates third-party dev dependencies across the Python workspace and
validates that all runtime dependency bounds still hold at both ends.

Dev dependency bumps (root, lab, declarative, durabletask):
- uv 0.11.6 -> 0.11.17, ruff 0.15.8 -> 0.15.15,
  pytest-asyncio 1.3.0 -> 1.4.0, mcp 1.27.0 -> 1.27.2,
  azure-monitor-opentelemetry 1.8.7 -> 1.8.8,
  poethepoet 0.42.1 -> 0.46.0, prek 0.3.9 -> 0.4.3,
  types-python-dateutil and types-PyYaml stub bumps.
- Transitive Dependabot items swept via lock: idna 3.11 -> 3.17,
  pip 26.0.1 -> 26.1.2.

Deliberately excluded:
- opentelemetry-sdk stays 1.40.0: azure-monitor-opentelemetry (incl.
  1.8.8) hard-pins opentelemetry-sdk==1.40.
- mypy stays 1.20.0 and pyright stays 1.1.408: the 2.1.0 / 1.1.409
  bumps introduce new diagnostics that fail type checking and need
  dedicated PRs.
- rich kept as a range: agentlightning (lab[lightning]) forces
  rich==13.9.4.

Code/formatting changes driven by the ruff upgrade:
- devui lifespan now uses try/finally so shutdown cleanup always runs
  (ruff RUF075).
- Removed unused TYPE_CHECKING imports in core and foundry flagged by
  ruff 0.15.15.
- Reapplied ruff 0.15.15 formatting to the files it changed.

Validation: validate-dependency-bounds-test "*" passes (31/31 lower +
31/31 upper); typing 62/62; lint 31/31; devui tests pass.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-01 17:53:56 +00:00
westey 52a8045bb6 Python: Add background agent support to harness agent (#6155)
* Add background agent support to harness agent

* Address PR comments
2026-06-01 17:20:39 +00:00
Yufeng He 78d175a1e2 Python: coalesce code interpreter history chunks (#5801)
* fix: coalesce code interpreter history chunks

* fix: narrow content item list types

* fix: remove redundant content list casts
2026-06-01 13:26:20 +00:00
Copilot b59a854fcd Fix integration test worker crashes in Azure Functions on Py3.13 (#4260)
* Initial plan

* Fix integration test worker crashes on Python 3.13

Three changes to prevent pytest-xdist workers from crashing during
Azure Functions integration tests:

1. Add `start_new_session=True` to subprocess on Linux so signals
   (e.g. from test-timeout) cannot propagate between the func host
   and the xdist worker process.

2. Add an overall 100-second budget to the fixture setup loop so
   the retry logic never exceeds the 120-second test timeout. When
   pytest-timeout's thread method fires during fixture setup and the
   thread doesn't respond, it calls os._exit() which kills the
   xdist worker – this is the root cause of the "Not properly
   terminated" crashes.

3. Remove the `UV_PYTHON: "3.10"` workaround from both workflow
   files so integration tests actually run on Python 3.13.

Co-authored-by: larohra <41490930+larohra@users.noreply.github.com>

* Validate integration tests on Python 3.13

Co-authored-by: larohra <41490930+larohra@users.noreply.github.com>

* Revert unintentional uv.lock dependency bumps

Co-authored-by: larohra <41490930+larohra@users.noreply.github.com>

* Use time.monotonic() instead of time.time() for fixture budget timing

Addresses review feedback: monotonic clock is immune to NTP/clock
adjustments that could skew the budget enforcement.

Co-authored-by: larohra <41490930+larohra@users.noreply.github.com>

* Fix func worker segfault on Python 3.13 by redirecting worker to Python 3.12

The Azure Functions Python worker crashes with SIGSEGV (exit code 139)
on Python 3.13 due to protobuf C extension (google._upb) compatibility
issues.  When the test runner uses Python >=3.13, the conftest now
automatically finds a compatible Python 3.10-3.12 and sets
languageWorkers__python__defaultExecutablePath so the func host uses
it for the worker process.

The CI setup action also ensures Python 3.12 is available on the
runner, falling back to uv python install if the system doesn't have
it.

Co-authored-by: larohra <41490930+larohra@users.noreply.github.com>

* Address code review: add path validation, clarify version range and config key format

Co-authored-by: larohra <41490930+larohra@users.noreply.github.com>

* Run func worker natively on Python 3.13 by disabling dependency isolation

Replace the Python 3.12 redirect workaround with the proper fix:
set PYTHON_ISOLATE_WORKER_DEPENDENCIES=0 on Python >=3.13.

The segfault (exit code 139) is caused by the Azure Functions worker's
module isolation mechanism conflicting with protobuf's C extensions
(google._upb) on Python 3.13.  Disabling isolation lets the worker
load dependencies from the app's own environment, which avoids the
crash while keeping everything running on Python 3.13.

See: https://github.com/Azure/azure-functions-python-worker/issues/1797

Co-authored-by: larohra <41490930+larohra@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: larohra <41490930+larohra@users.noreply.github.com>
Co-authored-by: Laveesh Rohra <larohra@microsoft.com>
2026-06-01 09:18:26 +00:00
Evan Mattson 8b0db48d33 Add community PR limit workflow (#6229)
* Add community PR limit workflow

* Address PR limit workflow review feedback
2026-06-01 18:12:31 +09:00
Giles Odigwe 5affc9c333 Python: Reorganize A2A samples and use package A2AExecutor (#6165)
* Reorganize A2A samples: client demos in 02-agents, use package A2AExecutor

- Move client samples (agent_with_a2a, a2a_agent_as_function_tools) to samples/02-agents/a2a/
- Add new concept samples: polling, stream reconnection, protocol selection
- Replace sample agent_executor.py with package-level A2AExecutor (stream=True)
- Update 04-hosting/a2a to focus on server-side, point to 02-agents for clients
- Add README.md for the new 02-agents/a2a/ sample collection

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

* Fix streaming artifact coalescing and address PR review feedback

A2AExecutor fix:
- Generate a stable artifact_id per stream in _run_stream so all streaming
  chunks share the same ID, enabling proper append=True coalescing per the
  A2A spec (TaskArtifactUpdateEvent with same artifactId).
- Previously, item.message_id was None for OpenAI/Foundry streaming updates,
  causing the SDK to generate a new random UUID per token (100+ separate
  artifacts instead of 1 appended artifact).

Sample improvements:
- Replace join workaround with response.text now that coalescing works
- Add background=True to stream reconnection resume call (required for
  continuation token emission on in-progress tasks)
- Fix type ignore specificity in polling sample

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-01 07:09:11 +00:00
Nicole Serafino edcc786651 .NET: Preserve and propagate CreatedAt through workflows (#3930)
* Preserve per-message CreatedAt attribute if it's available

* Add unit test

---------

Co-authored-by: Sam Chang <changsam@microsoft.com>
Co-authored-by: samchang-msft <samchang.msft@gmail.com>
2026-05-29 21:41:40 +00:00
Hasan Ghomi 07a1e83492 .NET: Forward Magentic participant replies to manager (#6156)
MagenticOrchestrator.TakeTurnAsync dropped the `messages` parameter
on subsequent turns, so participant replies never reached the manager's
ChatHistory. The manager kept re-dispatching the same speaker every
round until MaxRounds.

Append the incoming messages to taskContext.ChatHistory before running
the coordination round (matches Python's _handle_response).

Adds RecordingReplayAgent + regression test that asserts the worker's
reply reaches round-2's progress-ledger call.

Co-authored-by: Jacob Alber <jaalber@microsoft.com>
2026-05-29 21:41:25 +00:00
Roger Barreto fa2a6af443 Bump Azure.AI.AgentServer.* packages and align Azure.Core/System.ClientModel (#6178)
* Bump Azure.AI.AgentServer.* package versions

* Align Azure.Core/System.ClientModel to AgentServer transitive deps

Bump Azure.Core 1.55->1.56 and System.ClientModel 1.11->1.12 to match Azure.AI.AgentServer.* requirements, and add explicit references in transitive-pinning-off Foundry consumers to avoid CS1705/MSB3277 version conflicts.
2026-05-29 19:42:07 +00:00
Peter Ibekwe 11c8d89ab2 .NET: Fix InvokeMcpTool approval path for declarative workflows (#6177)
* Fix InvokeMcpTool approval path for declarative workflows

* Added more test for coverage.
2026-05-29 19:07:48 +00:00
Copilot 6510d6e3c8 .NET: Quarantine flaky DevUI test (#6159)
* Bump Microsoft.Extensions.AI packages to 10.6.0

* Align transitive package versions for Microsoft.Extensions.AI 10.6.0

* Initial plan

* Temporarily skip flaky DevUI keyed/default workflow test

* Revert Microsoft.Extensions.AI package bumps, keep only flaky test quarantine

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
2026-05-29 17:09:12 +00:00
Giles Odigwe dd9a4b6321 Python: [A2A] Set message_id on AgentResponseUpdate for message-bearing paths (#6163)
Map A2A protocol message_id to AgentResponseUpdate.message_id in two paths
where it was previously omitted, aligning with .NET behavior:

1. Standalone A2AMessage: set message_id=msg.message_id (matches .NET
   ConvertToAgentResponseUpdate(Message) which sets both ResponseId and
   MessageId to message.MessageId)

2. TaskStatusUpdateEvent (terminal/input_required): set
   message_id=message.message_id (matches .NET which sets
   MessageId=statusUpdateEvent.Status.Message?.MessageId)

Fixes #5949

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-29 08:11:13 +00:00
Eduard van Valkenburg e8ff541ebf Python: consolidate MCP reliability fixes (#6145)
* Python: consolidate MCP reliability fixes

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

* Fix MCP cleanup and metadata typing

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

* Satisfy MCP metadata mypy typing

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

* Fix Pyright metadata mapping type

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-29 07:21:14 +00:00
Daria Korenieva d2d5384f28 Python: Add Mistral AI embedding client package (#5480)
* Python: Add Mistral AI embedding client package

Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* Address review feedback: fix dimensions check, sort embeddings by index, align docs

Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* Address review feedback: downgrade to alpha, remove integration tests - Change version to 1.0.0a260505 (alpha) - Update classifier to Development Status :: 3 - Alpha - Update PACKAGE_STATUS.md to alpha - Remove Mistral from integration test workflows (no API keys yet)

Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* Add samples directory for alpha package compliance Per python-package-management skill: alpha packages must include samples inside the package directory.

Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* Fix ruff formatting in sample file

Signed-off-by: Daria Korenieva <daric2612@gmail.com>

---------

Signed-off-by: Daria Korenieva <daric2612@gmail.com>
2026-05-29 07:20:56 +00:00
Jacob Alber 1fccf16f11 feat: Remove [Experimental] tag from .NET Orchestrations (#6164) 2026-05-29 00:03:19 +00:00
Jacob Alber 8ed2159c4b .NET: Workflow Outputs Overhaul: Support Tagging, Filtering Agent Outputs (#6045)
* test: reshuffle .NET Workflow tests in preparation for Outputs overhaul

Phase 1 of the .NET Workflows outputs overhaul (see
working/implementation-plan.md). Pure moves/renames in
dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests; no production code
changes, no new test cases. The split keeps each orchestration mode in
its own source file so the upcoming tag-aware and orchestration-default
test additions land on clean diffs.

Renames:
* WorkflowBuilderSmokeTests.cs -> WorkflowBuilderTests.cs (with class
  rename to match). The scope is no longer "smoke"-only once subsequent
  phases add tag-aware builder tests.
* InputWaiterAndOutputFilterTests.cs -> InputWaiterTests.cs +
  OutputFilterTests.cs. The file already declared the two test classes
  separately; this split simply gives each its own file so the
  output-filter cases have a dedicated home for tag-aware additions.

Split of AgentWorkflowBuilderTests.cs:
* AgentWorkflowBuilderTests.cs is now the outer
  `public static partial class AgentWorkflowBuilderTests` holding the
  shared test helpers (DoubleEchoAgent + session + WithBarrier variant,
  WorkflowRunResult, RunWorkflow* methods) bumped from `private` to
  `internal` so the new top-level GroupChatWorkflowBuilderTests in the
  same assembly can reach them.
* AgentWorkflowBuilder.SequentialTests.cs (nested SequentialTests):
  BuildSequential_InvalidArguments_Throws,
  BuildSequential_AgentsRunInOrderAsync.
* AgentWorkflowBuilder.ConcurrentTests.cs (nested ConcurrentTests):
  BuildConcurrent_InvalidArguments_Throws,
  BuildConcurrent_AgentsRunInParallelAsync.

Sequential and Concurrent are kept as nested classes because they're
modes of the same `AgentWorkflowBuilder` static factory and do not
produce dedicated builder types.

New file:
* GroupChatWorkflowBuilderTests.cs (top-level): the existing
  BuildGroupChat_* and GroupChatManager_* cases moved out of the old
  AgentWorkflowBuilderTests file. They exercise the
  `GroupChatWorkflowBuilder` type (returned by
  `AgentWorkflowBuilder.CreateGroupChatBuilderWith`), so a dedicated
  top-level test class - matching the convention reserved by the plan
  for HandoffWorkflowBuilderTests / MagenticWorkflowBuilderTests - is
  the right home. Cross-class helper references qualify with
  `AgentWorkflowBuilderTests.DoubleEchoAgent` and
  `AgentWorkflowBuilderTests.RunWorkflowAsync`.

The outer partial class is `static` (and nested classes carry the
instance test methods) because the outer holds only static helpers;
this satisfies CA1052 without suppressions and is invisible to xUnit
discovery, which finds tests on the nested classes as
`AgentWorkflowBuilderTests.SequentialTests.*` etc.

Validation: `dotnet build` clean on both target frameworks; all 547
tests in Microsoft.Agents.AI.Workflows.UnitTests pass on net10.0.

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

* feat: introduce OutputTag, Futures, and tag-aware WorkflowBuilder API

Phase 2 of the .NET Workflows outputs overhaul. Additive code change
only - no observable runtime behavior change. The runner still uses the
legacy bypass for AgentResponse / AgentResponseUpdate payloads, and the
new `Futures.EnableAgentResponseOutputTaggingAndFiltering` flag defaults
to false. Phase 3 will wire the flag into the runner; this commit only
introduces the types and the builder API.

New public surface:
* `OutputTag` (readonly struct): wraps a string Value with ordinal
  equality (IEquatable, GetHashCode, == / !=) so it can participate as a
  HashSet element. Internal ctor closes the set. One public singleton:
  `OutputTag.Intermediate`. Terminal / regular outputs carry no tag
  (empty Tags set). JSON-serialized as a bare string via
  [JsonConverter(typeof(OutputTagJsonConverter))], with the converter
  rehydrating to the well-known singleton on read.
* `Futures` (static class): hosts opt-in pre-GA behavior switches.
  First flag is `EnableAgentResponseOutputTaggingAndFiltering`; XML doc
  captures the v2.0.0 obsoletion / v3.0.0 removal lifecycle.
* `WorkflowOutputEvent.Tags`: `HashSet<OutputTag>` exposed directly
  (concrete collection, matches the JSON-serialization convention used
  for `WorkflowInfo.OutputExecutorIds`). Never null; empty for legacy /
  terminal events. New ctors take a single `OutputTag` or
  `IEnumerable<OutputTag>?`; the existing (data, executorId) ctor
  remains and produces an untagged event. `HasTag(OutputTag)` helper.
  `AgentResponseEvent` and `AgentResponseUpdateEvent` gain matching
  tag-accepting ctors forwarding to the base.
* `WorkflowOutputEventExtensions.IsIntermediate(this WorkflowOutputEvent)`:
  extension method returning `evt.HasTag(OutputTag.Intermediate)`. The
  preferred way to ask "is this an intermediate output?" without
  reaching into the Tags set.
* `WorkflowBuilder.WithOutputFrom(IEnumerable<ExecutorBinding>, OutputTag)`
  and `WorkflowBuilder.WithOutputFrom(ExecutorBinding, OutputTag)`:
  forward-looking tagged overloads. The IEnumerable form is the primary
  tagged surface; the single-executor form is a convenience for the
  common one-executor case. Currently usable for the
  `OutputTag.Intermediate` singleton; will become the primary surface
  once the `OutputTag` constructor is opened to user-defined tags in
  a future release. Callers in this release should prefer the
  intent-specific `WithIntermediateOutputFrom` extension for the
  intermediate case. Tags accumulate across repeated calls; same tag
  repeated dedupes via the HashSet.
* `WorkflowBuilderExtensions.WithIntermediateOutputFrom(this WorkflowBuilder, IEnumerable<ExecutorBinding>)`:
  helper that forwards to `WithOutputFrom(executors, OutputTag.Intermediate)`.
  Takes an IEnumerable (matching the tagged WithOutputFrom shape) -
  callers pass collection literals: `builder.WithIntermediateOutputFrom([a, b])`.
  XML doc remarks call out the Futures-flag interaction and the
  AIAgent-payload forwarding contract.

Internal shape changes:
* `WorkflowBuilder._outputExecutors`: HashSet<string> -> Dictionary<
  string, HashSet<OutputTag>>. The value set is empty for executors
  designated only via the untagged WithOutputFrom; contains Intermediate
  (and possibly future tags) otherwise.
* `Workflow.OutputExecutors`: HashSet<string> -> Dictionary<string,
  HashSet<OutputTag>>.
* `OutputFilter.CanOutput`: `Contains(id)` -> `ContainsKey(id)`.
* `WorkflowInfo.OutputExecutorIds`: HashSet<string> -> Dictionary<
  string, HashSet<OutputTag>>, with a custom JsonConverter that reads
  both the new map shape (`{id: ["intermediate", ...]}`) and the legacy
  array shape (`[id1, id2]`, where each id is treated as an untagged
  output). Always writes the map shape. IsMatch updated to compare
  per-id tag sets.

Tests landing in this commit (per the test-with-feature principle):
* `OutputTagTests.cs` (6 tests): KnownValues, EqualityIsOrdinalOnValue,
  DefaultStructValueIsDistinct (default(OutputTag) does not collide
  with the Intermediate singleton in a HashSet),
  GetHashCodeMatchesEquals, JsonConverter_RoundtripsValueAsString,
  ConstructorIsInternal (reflection-based assertion that the (string)
  ctor is `internal`).
* `WorkflowBuilderTests.cs` adds 7 new tests pinning the builder
  API contract: RegistersWithEmptyTagSet, AddsIntermediateTag,
  MultipleExecutorsAllUntagged, ThenIntermediate_AccumulatesTags,
  RepeatedDedupes, OnlyRegistersWithoutPriorWithOutputFrom,
  TracksExecutorBinding.
* `BackwardsCompatibility/JsonCheckpointSerializationTests.cs`
  (new folder + file, 5 tests): event-level ctor contract tests
  (single-tag, no-tag, multi-tag — the last with a custom tag);
  IsIntermediate() asserted; load-bearing JSON BC tests for
  `WorkflowInfo.OutputExecutorIds` -
  `WorkflowOutputExecutorsReadsLegacyArrayShape` (legacy ids map to
  empty tag sets) and `WorkflowOutputExecutorsWritesMapShape`.

The plan's three JSON round-trip tests for `WorkflowOutputEvent.Tags`
were dropped: `WorkflowEvent` is not currently a serialized checkpoint
shape (see the comment in WorkflowsJsonUtilities.cs about events not
being persisted), so there is no real back-compat surface to pin
through JSON. They are substituted with in-process ctor/property
round-trip tests that exercise the `Tags` / `HasTag` / `IsIntermediate`
contract.

Validation: full `Microsoft.Agents.AI.Workflows.UnitTests` suite runs
green on net10.0 (565 passing, 0 failing). Core library builds clean
on net472, netstandard2.0, net8.0, net9.0, and net10.0. Test project
builds clean on net472 + net10.0.

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

* feat: route AgentResponse(Update) through the output filter under a Futures flag

`InProcessRunnerContext.YieldOutputAsync` historically special-cased AgentResponse and
AgentResponseUpdate payloads: it built the typed event subclass and emitted it directly,
bypassing the output filter. Rewrites the method so that:

- When `Futures.EnableAgentResponseOutputTaggingAndFiltering` is `false` (the current
  default), AgentResponse(Update) keep the legacy bypass — emitted as
  AgentResponseEvent / AgentResponseUpdateEvent with no tags. Existing callers see no
  behavior change.
- When the flag is `true`, AIAgent payloads flow through the output filter just like
  every other payload type: undesignated sources are dropped, and the emitted event
  carries the source's tag set (empty for terminal `WithOutputFrom`, `{Intermediate}`
  for `WithIntermediateOutputFrom`, the set union when both designations apply).

Non-AIAgent (POCO) outputs also now carry the source's tag set on the emitted
WorkflowOutputEvent unconditionally — additive, since no existing assertion inspected
Tags. Subclass events (`AgentResponseEvent` / `AgentResponseUpdateEvent`) continue to
be emitted under both modes so `switch (evt) { case AgentResponseEvent: ... }`
consumer code keeps matching.

Adds `OutputFilter.TryGetTags` as the tag-aware lookup used by the runner.
`OutputFilter.CanOutput` is kept (still used by the existing sync tests in
`OutputFilterTests.cs`).

Tests
-----
- `Futures/Futures.AgentResponseOutputFilteringAndTaggingTests.cs` (new): the F1–F13
  matrix from the plan, covering every combination of `(flag on/off) × (designation)
  × (payload shape)`. Uses a `FuturesScope` IDisposable + a `FuturesSerial` xUnit
  collection (DisableParallelization = true) to keep the process-global flag from
  leaking across parallel tests.
- `OutputFilterTests.cs`: four new `Test_OutputFilter_…` cases for the `TryGetTags`
  surface (empty-tag-set for terminal designation, `{Intermediate}` for intermediate
  designation, union for accumulated designation, `false` for unregistered).

582/582 unit tests pass on net10.0 (565 baseline + 17 new).

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

* feat: tag-aware defaults and designation API on orchestration builders

Aligns the .NET orchestration builders with Python's output / intermediate-output
distinction. Each builder either applies a Python-aligned default designation set or
replays the user's explicit `WithOutputFrom` / `WithIntermediateOutputFrom` calls,
never both.

Static `AgentWorkflowBuilder.BuildSequential` / `BuildConcurrent` apply defaults
unconditionally (no user-facing fluent surface to take control through):

- Sequential: terminal `end` + every agent designated intermediate.
- Concurrent: terminal `end` + every agent and per-agent accumulator designated
  intermediate.

The three fluent instance builders memoize agent-typed designation calls in a
`Dictionary<AIAgent, HashSet<OutputTag>>` (empty set = terminal-only, non-empty =
intermediate tag(s)) so repeated calls dedupe naturally. They replay the entries
at `Build()` time, suppressing defaults when any call has been made:

- `HandoffWorkflowBuilder` / `HandoffWorkflowBuilderCore<TBuilder>` (also picked up
  by the obsolete `HandoffsWorkflowBuilder` via inheritance).
  Default: terminal `HandoffEnd` + every handoff agent intermediate.
  (Bug fix: legacy code relied on `WithOutputFrom(end)` to bind `HandoffEnd`. The
  new explicit-designation path bypasses that, so `Build()` now calls
  `BindExecutor(end)` unconditionally to keep validation happy.)
- `GroupChatWorkflowBuilder` — default: terminal host + every participant intermediate.
- `MagenticWorkflowBuilder` — default: terminal orchestrator + every team member
  intermediate.

Designating a non-participant agent throws `InvalidOperationException`.

The bare `WorkflowBuilder` default is unchanged — only the orchestration-style
builders gain implicit defaults, matching the plan's non-goal.

Tests
-----
- `AgentWorkflowBuilder.SequentialTests` / `.ConcurrentTests`: one default-spec
  assertion each.
- `GroupChatWorkflowBuilderTests`: defaults-match-spec, explicit-replaces-defaults,
  non-participant throws.
- `HandoffWorkflowBuilderTests` (new file): same three.
- `MagenticWorkflowBuilderTests` (new file): same three.

593/593 unit tests pass on net10.0 (582 baseline + 11 new).

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

* feat: WorkflowHostAgent forwards AgentResponseEvent unconditionally under Futures-on

Aligns the .NET Workflow-as-Agent surface with Python `as_agent`. Under
`Futures.EnableAgentResponseOutputTaggingAndFiltering = true`,
`WorkflowSession.InvokeStageAsync` now forwards `AgentResponseEvent`
unconditionally — joining `AgentResponseUpdateEvent` in ignoring the host's
`includeWorkflowOutputsInResponse` switch. That switch keeps governing the
generic `WorkflowOutputEvent` path for non-AIAgent payloads, where it is
further short-circuited by an `IsIntermediate()` check (tagged intermediate
outputs always surface).

Under Futures-off the legacy asymmetry is preserved: `AgentResponseUpdateEvent`
always forwarded, `AgentResponseEvent` gated by `includeWorkflowOutputsInResponse`.

Back-compat: with `Futures.EnableAgentResponseOutputTaggingAndFiltering` left at
its default `false`, observable behavior is identical to before.

`Futures` documentation gains a remark explaining the `Workflow.AsAIAgent()`
interaction in both flag states.

Runner fix
----------
`InProcessRunnerContext.YieldOutputAsync` now skips `Executor.CanOutput` for
AgentResponse-shaped payloads under both Futures branches. `AIAgentHostExecutor`
doesn't declare AgentResponse(Update) in its `Yields` set, so the historical
legacy bypass had silently skipped the check; Phase 3's Futures-on path was
running it and would reject AIAgent payloads. AIAgent-shaped payloads are now
always a valid output shape, matching the legacy bypass semantics.

Phase 4 follow-on
-----------------
Switched the three orchestration-builder designation-replay loops to iterate
`Dictionary.Keys` with a value lookup instead of constructing/destructuring
`KeyValuePair<,>`. Cleaner shape and avoids the netstandard2.0 / net472
`KeyValuePair<,>.Deconstruct` unavailability that surfaced when this branch
multi-TFM-built.

Tests
-----
`WorkflowHostSmokeTests.IntermediateForwarding` (new nested class, 6 tests):
- intermediate AgentResponse forwarded past the include-outputs gate (Futures on)
- terminal AgentResponse forwarded unconditionally (Futures on)
- terminal AgentResponse gated by include flag (Futures off, legacy)
- undesignated AIAgent executor emits no AgentResponseEvent under Futures-on
- legacy bypass still emits AgentResponseEvent under Futures-off
- intermediate tag is observable via `update.RawRepresentation`

The class joins the `FuturesSerial` xUnit collection so the process-global flag
is serialized against other Futures-toggling tests.

599/599 unit tests pass on net10.0 (593 baseline + 6 new).

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

* feat: SequentialWorkflowBuilder and ConcurrentWorkflowBuilder, OrchestrationBuilderBase

Promotes the Sequential and Concurrent orchestration shapes to first-class fluent
builder classes, matching Handoff / GroupChat / Magentic. Users can call
`WithOutputFrom(agents)` / `WithIntermediateOutputFrom(agents)` to control which
agents are designated output / intermediate sources; when no designation call is
made, the Python-aligned defaults apply (terminal aggregator output + every agent
intermediate; Concurrent also tags per-agent accumulators).

`AgentWorkflowBuilder.BuildSequential(...)` and `BuildConcurrent(...)` are kept
and now delegate to the new builders; observable behavior unchanged. Five static
factories now mirror each other:

- `AgentWorkflowBuilder.CreateSequentialBuilderWith(params IEnumerable<AIAgent>)`
- `AgentWorkflowBuilder.CreateConcurrentBuilderWith(params IEnumerable<AIAgent>)`
- `AgentWorkflowBuilder.CreateHandoffBuilderWith(AIAgent)`        (already existed)
- `AgentWorkflowBuilder.CreateGroupChatBuilderWith(Func<...>)`    (already existed)
- `AgentWorkflowBuilder.CreateMagenticBuilderWith(AIAgent)`       (new)

OrchestrationBuilderBase
------------------------
New abstract `OrchestrationBuilderBase<TBuilder>` unifies the shared fluent
surface across all five orchestration builders: `WithName`, `WithDescription`,
`WithOutputFrom`, `WithIntermediateOutputFrom`, and the
`ApplyOutputDesignations(builder, agentMap, kind, applyDefaults)` helper that
either replays the user's designations or invokes the orchestration-specific
defaults.

Removes ~150 LOC of duplicated designation-management code from the four
non-Handoff builders, plus the equivalent from `HandoffWorkflowBuilderCore`.

Tests
-----
- New `SequentialWorkflowBuilderTests.cs` / `ConcurrentWorkflowBuilderTests.cs`
  (replace the old `AgentWorkflowBuilder.{Sequential,Concurrent}Tests.cs`
  nested-class files). Method names normalized to
  `Test_<BuilderType>_<Scenario>[Async]`.
- Shared helpers (`DoubleEchoAgent`, `DoubleEchoAgentWithBarrier`,
  `WorkflowRunResult`, `RunWorkflow*`) moved from the old
  `AgentWorkflowBuilderTests` partial class into a new
  `OrchestrationTestHelpers` static class in `OrchestrationTestHelpers.cs`.
  Downstream test files (Group Chat, Handoff, Sequential, Concurrent) updated
  to qualify with `OrchestrationTestHelpers.*`.
- A new `AgentWorkflowBuilderTests.cs` covers the static surface directly:
  `BuildSequential` / `BuildConcurrent` invariants and aggregator wiring, plus
  null-rejection + round-trip checks for every `Create*BuilderWith` factory.
- New AsAgent intermediate-suppression tests on a nested `AsAgentForwarding`
  class for each of Sequential and Concurrent: build with only the terminal
  agent designated via `WithOutputFrom`, run via `AsAIAgent(...)`, assert via
  `AgentResponseUpdate.AuthorName` that intermediate agents do not surface.
  Both join the `FuturesSerial` collection.
- New `Test_<Builder>_WithDescriptionPropagatesToWorkflow` smoke tests on
  Sequential and Concurrent (newly available via the base class).

625/625 unit tests pass on net10.0.

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

* chore: dotnet format

* fixup: encoding

* fixup: charset

* fixup: Updates for PR feedback

* fixup: format

* fixup: merge issue

* Fix intermediate filtering on .AsAgent()

* fix filter logic

* fix: Revert logic change and add comments

---------

Co-authored-by: Jacob Alber <jalber@lokitoth.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-28 21:26:31 +00:00
Ben Thomas b000a2cf51 Python: Adding AgentFileStore and FileAccessProvider to support file access operations. (#6099)
* Adding AgentFileStore and FileAccessProvider to support file ased operations for agents.

* Address PR review feedback on FileAccessProvider

- Probe symlinks on the unresolved candidate path so in-root symlinks
  cannot silently pass and out-of-root symlinks surface the correct
  error message.
- Validate matching_lines elements in FileSearchResult.from_dict and
  raise a clean ValueError for non-mapping entries.
- Cap search regex pattern length (256 chars) via a new
  _compile_search_regex helper to mitigate ReDoS, and surface the cap
  in the file_access_search_files tool description.
- Skip non-UTF-8 files during filesystem search instead of aborting
  the entire directory walk.
- Replace the module-scope trailing string in the data-processing
  sample with comments to avoid Ruff B018.
- Remove the checked-in working/region_totals.md sample artifact so
  the save flow works from a clean checkout.
- Expand the Windows stdout reconfiguration comment in task_runner.py
  for clarity.
- Add tests for invalid/oversize regex, non-UTF-8 file search, and
  in-root symlink rejection.

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

* Fix mypy redundant-cast in FileSearchResult.from_dict

Use cast(list[object], ...) instead of cast(list[Any], ...) so the
cast represents a real type change (lists are invariant) and is no
longer flagged by mypy as redundant, while still satisfying pyright's
reportUnknownVariableType. Matches the existing pattern in _memory.py.

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

* Tighten path normalization and directory resolution in FileAccess

- _normalize_relative_path now strips surrounding whitespace up front
  so leading/trailing spaces never leak into file segments, and
  rejects trailing path separators for file paths so 'foo/' is no
  longer silently coerced to 'foo'.
- FileSystemAgentFileStore._resolve_safe_directory_path normalizes
  with is_directory=True and maps an empty normalized result to the
  root. This matches InMemoryAgentFileStore so whitespace-only
  directory inputs resolve to the root instead of raising.
- Added tests for whitespace stripping, trailing-separator rejection,
  and whitespace-only directory listing on the filesystem store.

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

* Harden FileAccess search and atomic save in store API

- Add wall-clock timeout (10s) around regex scans so a pathological pattern (e.g. `(a+)+`) below the length cap cannot stall the event loop.
- Offload the InMemoryAgentFileStore regex scan to a worker thread, matching the filesystem store.
- Fail closed when `Path.is_symlink` raises during the safe-path probe so a permission error cannot silently bypass the symlink/reparse-point rejection.
- Add `overwrite: bool = True` to `AgentFileStore.write_file`; the in-memory store performs the check under the existing lock and the filesystem store uses `open(mode='x')` so concurrent callers cannot race past `overwrite=False`.
- `file_access_save_file` now relies on the atomic store call instead of a separate `file_exists` round-trip.

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

* Fix Python 3.10 timeout handling and add directory arg to list/search tools

- Catch asyncio.TimeoutError in _run_search_with_timeout. In Python 3.10
  asyncio.wait_for raises asyncio.exceptions.TimeoutError, which is
  distinct from the builtin TimeoutError (the two were unified in 3.11).
  Catching the asyncio alias works on every supported version.
- Add an optional directory parameter to file_access_list_files and
  file_access_search_files so agents can enumerate / scope searches to
  nested folders, not just the store root.

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

* Address FileAccess review feedback: case, errors, signal, TOCTOU

- InMemoryAgentFileStore now stores (display_name, content) so list_files
  and search_files return the original-case names callers wrote, matching
  the behaviour of FileSystemAgentFileStore on case-preserving filesystems
  and removing the silent in-memory vs. on-disk contract divergence.
- FileSystemAgentFileStore.read_file raises ValueError instead of letting
  UnicodeDecodeError bubble for binary / non-UTF-8 input, restoring
  symmetry with search_files (which still skips) and giving the tool
  layer a recoverable type to translate.
- Tool wrappers now catch ValueError and OSError around every operation
  and surface them as readable strings, so 'you used ..' and 'the file
  already exists' are both reported to the model the same way instead of
  the former crashing out as an unhandled exception.
- _search_files_sync logs per skipped non-UTF-8 file at WARNING and an
  aggregate INFO summary so operators can distinguish 'no matches' from
  'half the corpus was unreadable'.
- FileSystemAgentFileStore softens its docstrings to acknowledge the
  inherent probe-then-open TOCTOU window. On POSIX both read and write
  now pass O_NOFOLLOW so the kernel refuses if the leaf segment becomes
  a symlink between the probe and the open. Windows has no equivalent
  flag; the limitation is documented.
- Tests cover: case preservation on list/search, ValueError on non-UTF-8
  read at the store and tool layer, tool-layer string responses for
  path-traversal and oversized-regex inputs, search-skip log output,
  symlink rejection on delete/search/list, and symlinked intermediate
  directory rejection.

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

* Address FileAccess nit comments: docstrings, enumerate, opt-in delete approval

- Expand FileSearchMatch/FileSearchResult.to_dict docstrings to explain why
  the override is needed (__slots__ defeats the mixin's __dict__ iteration)
  and why exclude/exclude_none are accepted-but-ignored (mixin signature
  compatibility for callers like to_json).
- Use enumerate(lines, start=1) in _search_file_content so the +1 below is
  no longer needed; rename loop variable to line_number for clarity.
- Add opt-in require_delete_approval: bool = False on FileAccessProvider.
  When True, file_access_delete_file is registered with approval_mode
  'always_require' so the host must approve every delete. Default False
  preserves current behaviour and matches the .NET reference, but
  deployments that want a safer-by-default posture can enable it.
- Add tests covering both delete approval modes.

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

* FileAccess: require delete approval by default

Flip the default for FileAccessProvider(require_delete_approval=...) from
False to True so destructive deletes are gated by host approval out of the
box. Callers that want the previous autonomous behaviour (which matches the
.NET reference) can pass require_delete_approval=False.

Tests updated accordingly.

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

* Fixing linkinspector by installing Chrome for puppeteer first.

---------

Co-authored-by: Ben Thomas <25218250+alliscode@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-28 20:09:50 +00:00
Tao Chen 0578f4c910 Backfill chat span request model if it's unknown and response model is avaliable (#6160) 2026-05-28 20:03:46 +00:00
Giles Odigwe e9a606344a Python A2A: Expose supported_protocol_bindings as configurable parameter (#6098)
* Expose supported_protocol_bindings as configurable parameter on A2AAgent

Add supported_protocol_bindings parameter to A2AAgent.__init__() allowing
users to configure which A2A protocol bindings (JSONRPC, GRPC, HTTP+JSON)
the client prefers when connecting to remote agents.

- Defaults to ["JSONRPC"] matching current behavior
- Passes through to ClientConfig for transport negotiation
- Replaces 4 hardcoded references with the configurable value

Closes #6057

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

* Fix empty list falsy trap and add fallback path test coverage

- Use 'is not None' check instead of 'or' to preserve explicit empty list
- Add test verifying empty list is not silently replaced with defaults
- Add test verifying fallback path uses custom bindings

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

* Document known protocol binding values in docstring

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

* Use Literal union for protocol binding type hint

Provides IDE autocomplete for known values while keeping the type
open for custom bindings (Literal is str at runtime).

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-28 19:05:13 +00:00
Jacob Alber d2f79930d5 .NET: feat: Update GroupChatManager semantics to match other Orchestration patterns (#6140)
* Refactor group chat workflow to prevent message echoing and enhance checkpointing

- Updated GroupChatWorkflowBuilder to disable forwarding incoming messages to prevent duplicates.
- Enhanced RoundRobinGroupChatManager with checkpointing support to preserve state across executions.
- Modified GroupChatHost to maintain a history of messages and track the current speaker for message broadcasting.
- Implemented broadcasting logic to ensure participants receive messages from others while excluding their own responses.
- Added comprehensive unit tests for group chat orchestration, including scenarios for tool approval and function calls.
- Introduced a new ApprovalHarness for testing tool invocation and approval workflows.

* fixup: format

* Add JSON serialization support for GroupChatManagerState and RoundRobinGroupChatManagerState

---------

Co-authored-by: Jacob Alber <jalber@lokitoth.com>
2026-05-28 18:40:48 +00:00
Peter Ibekwe b1e9efee7e Update package version (#6161) 2026-05-28 18:37:19 +00:00
semenshi-m 3ee1bb4f9f .NET: [Breaking] Refactor AgentFileSkillsSource for depth-based discovery and predicate filters (#6109)
* Refactor AgentFileSkillsSource to use filter predicates and add AgentFileSkillFilterContext

- Replace hardcoded script/resource directory lists with configurable ScriptFilter and ResourceFilter predicates
- Add AgentFileSkillFilterContext class to provide contextual file information to filter predicates
- Replace MaxSearchDepth constant with configurable SearchDepth option
- Update AgentFileSkillsSourceOptions with new filter and search depth properties
- Update tests to reflect the new filtering approach

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

* Log '(none)' instead of empty string for missing file extensions in debug output

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-28 18:14:57 +00:00
Jacob Alber 945647a065 .NET: feat: Bring Handoff Orchestration to parity with Python (#6138)
* feat: implement autonomous mode and termination conditions in handoff workflow

* fixup: format

* feat: enhance autonomous mode with per-agent configurations and add unit tests

* fixup: remove empty file

---------

Co-authored-by: Jacob Alber <jalber@lokitoth.com>
2026-05-28 18:04:15 +00:00
Jacob Alber 401a552735 .NET: Support ClaimsIdentity-based scoping of agent sessions (#5696)
* feat: Add DelegatingAgentSessionStore

Add helper for decorator pattern for AgentSessionStore

* feat: Add UserIdentityScopedSessionStore

Add support for using the ASP.Net Core ambient `ClaimsIdentity` User, along with a user-specified claim type to scope the session store based on authenticated identity.

* fix: Harden scope mapping

* fix: Add UserIdentityScopeSessionStoreOptions to avoid future breaking changes

* Split UserIdentityScopedSessionStore into a separate IsolationKeyProvider and IsolationKeyScopedSessionStore

* Add GetService<>() capabilities to interrogate AgentSessionStore delegation chain

* Harden default for A2A hosting by using an IsolationKeyScopedAgentSessionStore when no store is available.

* Pipe isolation through Hosting helper extension methods

* Add comment to samples about adding SessionIsolationKeyProvider

* Fix isolation key provider nullability semantics

* fix A2A defaults

* fixup

* remove unneeded keyProvider requirement test

* Add trust-model XML docs to AgentSessionStore, InMemoryAgentSessionStore, MapAGUI, A2A entry points

Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/e466c53a-faad-40a8-8b5f-83cf0dce0b1d

Co-authored-by: lokitoth <6936551+lokitoth@users.noreply.github.com>

* fix: Switch ClaimsBasedIsolationKeyProvider to be Singleton

   * matches HttpContextAccessor and related MAF services

* release: Ensure new project is in the release filter

* fixup: Integraitaon tests

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: lokitoth <6936551+lokitoth@users.noreply.github.com>
2026-05-28 17:43:18 +00:00
Peter Ibekwe 718a1f14fd Add missing projects to solution for release (#6157) 2026-05-28 16:47:31 +00:00
semenshi-m f7c5b8d108 Python: [Breaking] Refactor Skill API to async resource and script lookup (#6135)
Port of .NET commit 08541ee5a9.

Replace property-based Skill.content/resources/scripts with async
by-name lookup methods:
- content property -> async get_content() -> str
- resources property -> async get_resource(name) -> SkillResource | None
- scripts property -> async get_script(name) -> SkillScript | None

SkillsProvider now always includes all three tools (load_skill,
read_skill_resource, run_skill_script) and both instruction blocks
regardless of whether any skills have resources or scripts.

ClassSkill retains resources/scripts properties as overridable hooks
for subclass reflection-based discovery.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-28 15:54:20 +00:00
westey e6762ea876 .NET: Fix render dupe and text input clear bugs, and improve guardrail error messaging (#6136)
* Fix render dupe and text input clear bugs

* Fix another text rendering issue and improve guardrails messaging

* Address PR comments

* Improve guardrail rendering and json error handling

* Another tweak for input box render issue

* Address PR comments
2026-05-28 16:38:04 +01:00
semenshi-m 08abe9e704 .NET: Add Foundry Toolbox MCP skills discovery sample (#6134)
* feat: add Agent_Step26_FoundryToolboxMcpSkills sample

Add a new sample demonstrating MCP-based skills discovery from a Foundry
Toolbox endpoint using AgentSkillsProviderBuilder and AIContextProviders.

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

* fix: address PR review comments for Step26 sample

- Add Foundry-Features: Toolboxes=V1Preview header to MCP transport
  options, matching the Step25 pattern
- Document skill://index.json prerequisite in README

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

* Update dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step26_FoundryToolboxMcpSkills/Program.cs

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
2026-05-28 12:41:33 +00:00
Evan Mattson a84ad42f6d Bump Python package versions for 1.7.0 release (#6142)
Bumps the released 1.6.0 packages agent-framework, agent-framework-core, agent-framework-foundry, and agent-framework-openai to 1.7.0, with root continuing to exactly pin agent-framework-core[all]. Bumps the changed prerelease packages agent-framework-a2a, agent-framework-chatkit, agent-framework-declarative, agent-framework-devui, and agent-framework-foundry-hosting to the 260528 date stamp, raises core floors on the packages included in this release, raises Foundry's OpenAI floor alongside OpenAI, and raises ChatKit's openai-chatkit floor to the minimum version required by the current typed API usage. No beta cohort bump was applied; the absent mistal/mistral package was intentionally not bumped because no such package exists in this branch.
2026-05-28 19:45:31 +09:00
Peter Ibekwe ded17b178c Python: [Breaking] Remove Python-only declarative actions and rename alias kinds to C# canonical names (#6126)
* Remove Python-only declarative actions and rename alias kinds to C# canonical names

* Address PR comments.

* Address PR comments.

* Reduce verbose and duplicate output from sample workflow.
2026-05-28 10:16:22 +00:00
Yufeng He 55dc3ce734 Python: fix: pass Foundry agent default headers (#6040)
* fix: pass Foundry agent default headers

* test: loosen Foundry default header assertions
2026-05-28 10:08:14 +00:00
Baidar 9d8e5ca4f5 Python: Allow hosted checkpoints to restore MessageRole (#6049)
* Python: Allow hosted checkpoints to restore MessageRole

Allow Responses hosting checkpoint storage to deserialize the Azure Responses MessageRole enum that hosted workflows can persist inside Agent Framework Message objects.

Add regression coverage for both direct load() and the hosted get_latest() restore path, including the plain-storage failure mode where list_checkpoints logs the blocked type and get_latest() returns None.

Ruff also normalizes a duplicate contextlib import in the touched hosting module.

* Address MessageRole checkpoint review comments

* Cover hosted MessageRole checkpoint restore path
2026-05-28 09:13:30 +00:00
westey af787569b3 Python: Align c# and python TodoProvider tool names (#6107)
* Align c# and python TodoProvider tool names

* Potential fix for pull request finding

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

* Address PR review: remove __slots__ and add typed schemas for tool params

- Remove __slots__ from TodoItem, TodoInput, and TodoCompleteInput classes
  (not needed for low-instance-count objects and hinders dev scenarios)
- Add _TodoAddItemSchema and _TodoCompleteItemSchema TypedDicts to provide
  proper JSON schema for todos_add and todos_complete tool parameters
- Use typing_extensions for Python 3.10 compatibility

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

---------

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-28 08:40:13 +00:00
Emilien Mottet 3db2004e49 Python: read headers defensively to support stream wrappers without .headers (#6028) (#6029)
`OpenAIChatClient._inner_get_response()` reads `.headers` on the raw streaming
response returned by `client.responses.with_raw_response.create(stream=True)`
(and its three sibling call sites - retrieve-streaming, non-streaming create
and background retrieve) to surface the `x-ms-served-model` Azure header,
introduced in #5910.

When `azure-ai-projects>=2.1.0` experimental GenAI tracing is enabled
(`AZURE_EXPERIMENTAL_ENABLE_GENAI_TRACING=true`), the instrumentor wraps the
raw streaming response in an inline `AsyncStreamWrapper` that exposes
`.response` but not `.headers`. Reading `raw_create_response.headers` then
raises `AttributeError: 'AsyncStreamWrapper' object has no attribute 'headers'`,
which `FoundryChatClient` rethrows as a `ChatClientException` and breaks every
streaming call (workflows and free chat).

Fix: read the header dict via `getattr(raw_response, "headers", None)` at all
four call sites. `_extract_served_model()` already short-circuits on `None`,
so the served-model surfacing degrades gracefully (model stays the deployment
alias) instead of crashing when the response is wrapped by an instrumentor
that does not proxy `.headers`.

Regression test added:
`test_streaming_response_without_headers_attribute_does_not_crash`
simulates a stream wrapper that raises `AttributeError` on `.headers` and
asserts the stream still completes with the deployment alias as `update.model`.

Fixes #6028

Co-authored-by: Emilien Mottet <emilien.mottet@michelin.com>
2026-05-28 08:37:38 +00:00
Giles Odigwe efdabd56dc feat(a2a): add A2AAgentSession with reference_task_ids and input-required support (#5980)
* feat(a2a): link follow-up messages via reference_task_ids

Track the task_id from A2A responses (task, status_update, artifact_update,
and message payloads) on session.state and include it as reference_task_ids
on subsequent outgoing messages. This enables remote agents to correlate
follow-up messages as task refinements per the A2A spec.

Resolves #5938

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

* feat(a2a): add A2AAgentSession for typed protocol state tracking

Introduce A2AAgentSession (subclass of AgentSession) with context_id,
task_id, and task_state properties. This follows the DurableAgentSession
pattern and mirrors the .NET A2AAgentSession design.

- Track task_id, context_id, and task_state from all response payload types
- Validate context_id consistency (raise on mismatch)
- Auto-assign server-generated context_id when not set
- Only A2AAgentSession gets reference tracking (no state dict fallback)
- Plain AgentSession continues to work without reference tracking
- Add serialization support (to_dict/from_dict)
- Export via agent_framework.a2a and agent_framework_a2a

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

* style: remove unnecessary string annotation (pyupgrade)

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

* fix: use AgentSession.from_dict for state deserialization

Avoids importing private _deserialize_state, matching the
DurableAgentSession pattern.

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

* fix: track context_id from message payloads in A2AAgentSession

Previously, context_id was only captured from task, status_update, and
artifact_update payloads. Message-only responses (which carry context_id
but may lack task_id) were silently lost. This fix:

- Captures msg.context_id in the message handler
- Persists session state when either last_task_id or last_context_id is
  present (not only when task_id is truthy)
- Only updates task_id/task_state when a task_id was actually returned
- Adds a test for message-only context_id tracking

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

* addressed comments

* Gate status content to INPUT_REQUIRED/terminal states (match .NET)

Match .NET's GetUserInputRequests pattern: only emit TaskStatusUpdateEvent
message content when state is INPUT_REQUIRED or terminal. Intermediate
status text (WORKING, SUBMITTED) is no longer surfaced to callers.

When state is INPUT_REQUIRED, set additional_properties['input_required']
= True so callers can distinguish input requests from final responses.

Closes #5937

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

* Address review: remove message task_id tracking, defensive fallbacks, and input_required flag

- Do not track task_id from Message payloads (simple interactions
  without task tracking)
- Remove 'or last_task_id' fallback from status_update and
  artifact_update handlers (spec guarantees task_id is always set)
- Remove additional_properties['input_required'] flag (content gating
  to INPUT_REQUIRED/terminal states is the signal itself)

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-28 08:36:49 +00:00
Shalabh Gupta 371a869e44 Fix deprecated asyncio.iscoroutinefunction usage in test_cleanup_hooks.py (#4563)
Fixes #4522

Replace deprecated `asyncio.iscoroutinefunction()` with `inspect.iscoroutinefunction()`
to resolve Python 3.13+ deprecation warning.

Changes:
- Added `import inspect` to imports
- Replaced `asyncio.iscoroutinefunction(hook)` with `inspect.iscoroutinefunction(hook)` on line 126
- This makes the code consistent with other test methods in the same file (lines 201, 236)

The rest of the file already uses `inspect.iscoroutinefunction()` correctly, making
this change consistent with the existing codebase pattern.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Tao Chen <taochen@microsoft.com>
2026-05-28 02:29:31 +00:00
whenpoem e532ced950 Add hosting samples overview README (#5407)
Co-authored-by: whenpoem <187613766+whenpoem@users.noreply.github.com>
2026-05-27 21:08:17 +00:00
Peter Ibekwe 5d8dd4ea4b .NET: [BREAKING] Remove Support for Code-Gen in Declarative Workflows (#6095)
* Removed

* Remove sample

* Remove orphaned code-gen related code path

* Remove remaining references to code gen.

---------

Co-authored-by: Chris Rickman <crickman@microsoft.com>
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
2026-05-27 20:14:38 +00:00
Yufeng He 4c4e1d9b87 Python: fix: keep citation get_url metadata (#6037)
* fix: keep citation get_url metadata

* fix: satisfy citation metadata mypy check
2026-05-27 20:09:02 +00:00
semenshi-m 1d301af7d2 .NET: Add MCP-based skills support (skill-md type) (#6108)
* Add MCP-based skills support

- Add AgentMcpSkill, AgentMcpSkillResource, AgentMcpSkillsSource, and McpSkillIndex to Microsoft.Agents.AI.Mcp
- Add AgentSkillsProviderBuilderMcpExtensions for DI integration
- Add Agent_Step06_McpBasedSkills sample project
- Add unit tests for AgentMcpSkillsSource
- Update solution file and project references

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

* Remove unnecessary [Experimental] attributes from MCP package

The package is already alpha, so the [Experimental] attribute is redundant.
Removed from both AgentSkillsProviderBuilderMcpExtensions and
AgentMcpSkillsSource classes.

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

* Make Agent_Step06_McpBasedSkills self-contained and add to verify-samples

Embed an internal MCP server (launched via --server flag as a child process)
that serves skill://index.json and skill://unit-converter/SKILL.md resources,
replacing the external MCP_SKILLS_ENDPOINT dependency. The sample now uses
StdioClientTransport and a fixed prompt instead of an interactive loop.

Added SampleDefinition to AgentsSamples.cs for automated verification.

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

* Sort usings

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-27 18:38:57 +00:00
westey 8fbda1de22 Remove responses experimental flag from FoundryAgent et.al. (#6121) 2026-05-27 18:18:44 +00:00
westey ef86fb51d5 Python: Add a HarnessAgent with available features and sample (#6041)
* Add a HarnessAgent with available features and sample

* Fix formatting

* Address PR comments and fix mypy error

* Add web search support to HarnessAgent

* Fix build warning

* Apply suggestions from code review

Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

* Address PR comments

* Address PR comments

* Address further PR comments.

* Fix markdown broken link

---------

Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
2026-05-27 14:54:00 +01:00
Eduard van Valkenburg d5c07f2623 Python: feat(foundry): add to_prompt_agent / deploy_as_prompt_agent (experimental) (#5959)
* feat(foundry): add experimental to_prompt_agent converter

Adds `to_prompt_agent(agent)`, an experimental converter
(`ExperimentalFeature.TO_PROMPT_AGENT`) that turns an Agent Framework
`Agent` into a Foundry `PromptAgentDefinition` ready to publish via
`AIProjectClient.agents.create_version(...)`.

Behaviour:

* `agent.client` must be a `FoundryChatClient` (or subclass); otherwise
  `TypeError` is raised. The model deployment name is lifted from the
  bound client so the same Agent definition used for local runs can be
  published as a hosted prompt agent without restating the model.
* Foundry SDK tool instances (from `FoundryChatClient.get_*_tool()`) are
  passed through unchanged. AF `FunctionTool`s (and `@tool`-decorated
  callables) are emitted as Foundry `FunctionTool` declarations.
* Local AF MCP tools cannot be expressed in a `PromptAgentDefinition`;
  the converter raises `ValueError` and points at
  `FoundryChatClient.get_mcp_tool()` for hosted MCP servers.
* The converter walks both `agent.default_options["tools"]` and
  `agent.mcp_tools` because `normalize_tools()` splits local MCP off
  into its own list.

Re-exported through the `agent_framework.foundry` lazy-loading namespace
(updates both `__init__.py` and the `__init__.pyi` type stub).

Adds a portable-agent sample showing the same `Agent` driven through
both `agent.run(...)` and `to_prompt_agent(agent)`, and a README section
covering the new converter.

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

* chore(samples): remove snippet tags from portable agent sample

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

* chore(samples): inline FoundryChatClient and enable prompt-agent publish

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

* chore(samples): drop async credential context manager

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

* docs(foundry): trim README to_prompt_agent example to publish-only flow

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

* docs(foundry): note FoundryAgent runs @tool callables for deployed prompt agents

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

* fix(foundry): address review comments on to_prompt_agent converter

* Construct `PromptAgentDefinition` `Tool` from a dict via `**tool_item`
  unpacking rather than the positional Mapping constructor \u2014 cleaner and
  matches the typical Pydantic / Azure SDK pattern.
* Drop the redundant `isinstance(mcp_tool, MCPTool)` guard in
  `_convert_tools`; the parameter is already typed `Iterable[MCPTool]` so
  the second `raise` was unreachable. The remaining single `raise`
  fires for every entry as intended.

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

* fix(foundry): match Agent.__init__ model resolution in to_prompt_agent

* Read the model from `agent.default_options.get("model")` first,
  falling back to `agent.client.model`. This mirrors the order
  `Agent.__init__` uses (`_agents.py:740`) when assembling
  default_options, so the model the agent runs with is the same model
  the converter publishes \u2014 e.g. when the caller passes
  `default_options={"model": "..."}` to override the bound client.
* Updated the missing-model error message to point at both the client
  and the default_options paths.
* Added tests:
  * tool-only agent with no `instructions` produces a definition
    where `instructions` is `None` and is omitted from the dict
    payload (`Agent.__init__` strips None values from default_options
    before storing them).
  * `default_options['model']` wins over the bound client's model.
  * Fallback to client.model when default_options has no model.

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

* feat(foundry): add deploy_as_prompt_agent helper + samples

Adds `deploy_as_prompt_agent(agent)`, a convenience wrapper around
`to_prompt_agent` that reuses the bound FoundryChatClient's project
client to call `project_client.agents.create_version(...)`. Defaults
`agent_name` / `description` from `agent.name` / `agent.description`
so the Agent stays the single source of truth.

* Exposed from `agent_framework_foundry` and the lazy-loading
  `agent_framework.foundry` namespace (including the .pyi stub).
* Marked experimental with the existing
  `ExperimentalFeature.TO_PROMPT_AGENT` tag.
* Tests cover the happy path, name/description defaulting, explicit
  override, no-name error, metadata + description forwarding, extra
  kwargs passthrough, and the experimental metadata.

Samples:
* Renamed the existing sample to `creating_prompt_agents.py`, drops
  'portable' wording, presents `deploy_as_prompt_agent` first as the
  recommended path and `to_prompt_agent` + `AIProjectClient` as the
  two-step alternative, and adds a cleanup step that deletes the
  published agent so re-runs stay idempotent.
* New `using_prompt_agents.py` shows the end-to-end loop: deploy the
  agent, connect to it with `FoundryAgent` passing the same local
  `@tool` callable, run a query against the deployed prompt agent,
  then clean up.

README updated to introduce `deploy_as_prompt_agent` as the
recommended path and link to both runnable samples.

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

* fix(foundry): restore missing-model ValueError in to_prompt_agent

The check was accidentally dropped while reworking docstrings in the
previous commit. Test `test_to_prompt_agent_rejects_missing_model`
exercises this path and was failing on CI as a result.

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

* refactor(foundry): rename deploy_as_prompt_agent -> create_prompt_agent

Renames the helper across the foundry package, core lazy-loader stubs,
tests, README and samples. The new name better matches the action
performed (a prompt-agent definition is created in Foundry) and is
consistent with the surrounding ''create_*'' API surface.

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

* refactor(foundry): drop create_prompt_agent, enrich to_prompt_agent params

Remove the create_prompt_agent helper and consolidate on to_prompt_agent.
Expose every PromptAgentDefinition parameter that has either an Agent
Framework equivalent (sourced from default_options) or no equivalent
(accepted as a keyword argument).

* default_options-sourced (with kwarg overrides):
  temperature, top_p, string tool_choice
* kwarg-only Foundry knobs:
  reasoning, text, structured_inputs, rai_config, ToolChoiceParam tool_choice

Precedence is always: explicit keyword > default_options entry > unset.

Tests cover every path (defaults, default_options, kwargs, kwarg override).
Samples and README rewritten around the enriched to_prompt_agent.

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

* refactor(foundry): single source of truth for prompt-agent options

Stop duplicating the generation-parameter surface between FoundryChatOptions
and to_prompt_agent. Translate every field with an Agent Framework equivalent
(temperature, top_p, tool_choice, reasoning, response_format/text/verbosity)
from agent.default_options via a new RawFoundryChatClient helper
_prepare_prompt_agent_options. Only Foundry-specific fields with no AF
equivalent — structured_inputs and rai_config — remain as keyword arguments
on to_prompt_agent.

- tool_choice is dropped when there are no tools (mirrors _prepare_options
  semantics and avoids polluting tool-less prompt agents with Agent.__init__'s
  'auto' default).
- response_format Pydantic models route through
  openai.lib._parsing._responses.type_to_text_format_param; dict shapes go
  through the existing _prepare_response_and_text_format helper.
- default_options is not mutated; text dict is defensively copied.

Tests, README, and creating_prompt_agents.py sample updated to reflect the
new single-source model.

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

* docs(foundry): consolidate prompt-agent sample

Drop creating_prompt_agents.py (the publish-only variant) and rename
using_prompt_agents.py to foundry_prompt_agents.py so the single sample
covers the full convert -> publish -> connect -> run loop. Update the
README link list accordingly.

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

* docs(foundry): run local Agent + deployed agent in same sample

Add an agent.run() call against the local Agent before publishing, then run
the deployed prompt agent on the same query. Expand the docstring with a
compare-and-contrast covering runtime/latency, configurability, and
persistence/sharing differences between the two execution paths.

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

* test(foundry): cover conflicting response_format + text.format in to_prompt_agent

Exercises the ValueError path when a Pydantic response_format would overwrite
an explicit text.format mapping with a different shape. Lifts _chat_client.py
coverage from 89% to 90%.

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

* refactor(foundry): move _prepare_prompt_agent_options into _to_prompt_agent

Lift the translation helper off RawFoundryChatClient and into the
_to_prompt_agent module as a module-private function that takes the client
as its first argument. The chat client no longer needs to carry a method
whose only consumer is the prompt-agent converter, while still serving as
the source of the request-path helper (_prepare_response_and_text_format)
that the converter reuses for dict-shaped response_format values.

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

* docs(python): codify GA terminology + post-run docs review

Add two pieces of guidance to python/AGENTS.md:

* Terminology - reserve 'GA' for hosted services; use 'released' or 'stable'
  for Agent Framework code/features to match the feature-lifecycle stages.
* Maintaining Documentation - review AGENTS.md and skills at the end of every
  run and update any guidance the conversation made stale; before adding a
  new principle, ask the user to confirm it should be captured.

Also pulls in a docstring fix in foundry_prompt_agents.py that swaps the
stray 'GA' for 'released', applying the new terminology rule.

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

* address PR review: strict=True default, Tool._deserialize dispatch, sample cleanup safety

- FunctionTool published as strict=True so the server-side schema validation
  matches what the local FoundryAgent(tools=[same_callable]) dispatcher
  enforces. AF FunctionTool has no 'strict' attribute, so the safer default
  is used uniformly instead of silently downgrading to a permissive contract.
- _validate_mapping_tool now dispatches through ProjectsTool._deserialize so
  dict-shaped tools rehydrate to the concrete subclass (FunctionTool,
  WebSearchTool, ...) via the 'type' discriminator instead of returning a
  generic Tool. Added a test that asserts isinstance(WebSearchTool) and a
  new test for the function-typed dict path.
- foundry_prompt_agents.py sample now wraps credential + project client in
  async with and the create_version / run flow in try/finally so a failure
  on connect or run still deletes the published prompt agent rather than
  leaving an orphaned, billable resource in the user's Foundry project.

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

* fix(ci): correct linkspector ignorePattern typo (./pulls -> ./pull)

GitHub PR URLs use the singular segment /pull/N (compare to /issues/N
for issues). The existing './pulls' ignore pattern never matched
anything as a result, so legitimately stale PR links (e.g. PRs deleted
from forks) surface as linkspector failures on unrelated PRs.

This is the same convention the './issues' rule above already follows.
Fixes the markdown-link-check failure on a dangling link in
dotnet/src/Microsoft.Agents.AI.DurableTask/CHANGELOG.md.

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-27 13:31:21 +00:00
westey ae989b92e7 Python: Add a BackgroundAgentsProvider for python (#6069)
* Add a BackgroundAgentsProvider for python

* Address PR comments and fix linting warnings

* Address PR comment
2026-05-27 09:12:01 +00:00
Eduard van Valkenburg 3242d8a4c4 Python: Fix DevUI streaming memory growth regression (#6038)
* Fix DevUI streaming memory growth regression

Bounds retained streaming/debug state in DevUI and strengthens browser regression coverage for long streamed responses.

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

* Address DevUI memory review feedback

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

* Fix DevUI bundle trailing whitespace

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-27 07:48:29 +00:00
S3rj e1e6e3d35e Python: fix(openai): guard against null delta in streaming chunks from non-co… (#5734)
* fix(openai): guard against null delta in streaming chunks from non-compliant providers (#5732)

* chore: resolve nit and align with project style

---------

Co-authored-by: Sergey Borisov <sergey.borisov@dataimpact.io>
Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com>
2026-05-27 07:42:46 +00:00
Peter Ibekwe 08697f8037 Persist ForeachExecutor iteration state across checkpoints (#6051) 2026-05-26 18:26:12 +00:00
1488 changed files with 91023 additions and 27255 deletions
+6 -2
View File
@@ -1,15 +1,19 @@
{
"name": "Python 3",
"image": "mcr.microsoft.com/devcontainers/python:3.13-bullseye",
"image": "mcr.microsoft.com/devcontainers/python:3.14-bookworm",
"features": {
"ghcr.io/va-h/devcontainers-features/uv:1": {},
"ghcr.io/devcontainers/features/azure-cli:1.2.8": {}
"ghcr.io/devcontainers/features/docker-in-docker:3": {},
"ghcr.io/devcontainers/features/azure-cli:1.2.9": {},
"ghcr.io/devcontainers/features/copilot-cli:1": {}
},
"postCreateCommand": "bash ./devsetup.sh",
"workspaceFolder": "/workspaces/agent-framework/python/",
"customizations": {
"vscode": {
"extensions": [
"GitHub.copilot",
"GitHub.vscode-github-actions",
"ms-python.python",
"ms-windows-ai-studio.windows-ai-studio",
"littlefoxteam.vscode-python-test-adapter"
+5 -2
View File
@@ -8,7 +8,7 @@ ignorePatterns:
- pattern: "./blob"
- pattern: "./issues"
- pattern: "./discussions"
- pattern: "./pulls"
- pattern: "./pull"
- pattern: "https:\/\/platform.openai.com"
- pattern: "http:\/\/localhost"
- pattern: "http:\/\/127.0.0.1"
@@ -20,7 +20,10 @@ ignorePatterns:
- pattern: "https://your-resource.openai.azure.com/"
- pattern: "http://host.docker.internal"
- pattern: "https://openai.github.io/openai-agents-js/openai/agents/classes/"
- pattern: "https:\/\/dotnet.microsoft.com\/download"
# dotnet.microsoft.com bot-blocks CI link checkers with intermittent 403s on any
# path (including localized variants like /en-us/download/...), so ignore the
# whole domain rather than just /download.
- pattern: "https:\/\/dotnet.microsoft.com"
- pattern: "https://github.com/Rel1cx/eslint-react"
# excludedDirs:
# Folders which include links to localhost, since it's not ignored with regular expressions
+1 -1
View File
@@ -1,7 +1,7 @@
name: .NET Bug Report
description: Report a bug in the Agent Framework .NET SDK
title: ".NET: [Bug]: "
labels: ["bug", ".NET"]
labels: [".NET"]
type: bug
body:
- type: textarea
+1 -1
View File
@@ -1,7 +1,7 @@
name: Python Bug Report
description: Report a bug in the Agent Framework Python SDK
title: "Python: [Bug]: "
labels: ["bug", "Python"]
labels: ["Python"]
type: bug
body:
- type: textarea
@@ -0,0 +1,64 @@
name: Free runner disk space
description: |
Reclaims disk space on GitHub-hosted Ubuntu runners by removing
pre-installed toolchains we do not use (Android SDK, GHC/Haskell,
CodeQL bundle), Docker images, and swap. Also relocates the
NuGet package cache to /mnt (which has ~75 GB free vs ~14 GB
on /). No-op on non-Linux runners.
runs:
using: composite
steps:
- name: Free disk space (Linux only)
if: runner.os == 'Linux'
shell: bash
run: |
set -euo pipefail
echo "::group::Disk usage before cleanup"
df -h /
echo "::endgroup::"
# Remove pre-installed toolchains we never use on this repo's
# dotnet/python jobs. These reclaim ~25-30 GB on ubuntu-latest.
sudo rm -rf \
/usr/local/lib/android \
/usr/share/dotnet/sdk/NuGetFallbackFolder \
/opt/ghc \
/usr/local/.ghcup \
/opt/hostedtoolcache/CodeQL \
/opt/hostedtoolcache/PyPy \
/opt/hostedtoolcache/Ruby \
/opt/hostedtoolcache/go \
/usr/local/share/boost \
/usr/local/share/powershell \
/usr/local/share/chromium \
/usr/local/share/vcpkg \
/usr/local/lib/heroku \
"${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/PyPy" \
"${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/Ruby" \
"${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/go" || true
# Drop docker images shipped on the runner; jobs that need
# docker pull what they need fresh.
if command -v docker >/dev/null 2>&1; then
sudo docker image prune --all --force >/dev/null 2>&1 || true
fi
# Disable swap to free its backing file.
sudo swapoff -a || true
sudo rm -f /mnt/swapfile /swapfile || true
echo "::group::Disk usage after cleanup"
df -h /
echo "::endgroup::"
- name: Relocate NuGet package cache to /mnt (Linux only)
if: runner.os == 'Linux'
shell: bash
run: |
set -euo pipefail
sudo mkdir -p /mnt/nuget
sudo chown -R "$USER":"$USER" /mnt/nuget
echo "NUGET_PACKAGES=/mnt/nuget" >> "$GITHUB_ENV"
echo "Relocated NuGet package cache to /mnt/nuget"
df -h /mnt || true
+5 -3
View File
@@ -24,12 +24,14 @@ updates:
- ".NET"
- "dependencies"
# Maintain dependencies for python
# Maintain dependencies for python.
# TODO: Remove these Python Dependabot entries after we have confidence in the
# Python dependency-maintenance workflow.
- package-ecosystem: "pip"
directory: "python/"
schedule:
interval: "weekly"
day: "monday"
day: "thursday"
labels:
- "python"
- "dependencies"
@@ -37,7 +39,7 @@ updates:
directory: "python/"
schedule:
interval: "weekly"
day: "monday"
day: "thursday"
labels:
- "python"
- "dependencies"
+25 -5
View File
@@ -1,23 +1,43 @@
### Motivation and Context
### Motivation & Context
<!-- Thank you for your contribution to the Agent Framework repo!
Please help reviewers and future users, providing the following information:
1. Why is this change required?
2. What problem does it solve?
3. What scenario does it contribute to?
4. If it fixes an open issue, please link to the issue here.
4. If it fixes an open issue, please link to the issue below.
-->
### Description
### Description & Review Guide
<!-- Describe your changes, the overall approach, the underlying design.
Highlight what you want the reviewers to focus on.
These notes will help understanding how your code works. Thanks! -->
- **What are the major changes?**
- **What is the impact of these changes?**
- **What do you want reviewers to focus on?**
<!-- NOTE FOR AUTOMATED/AI REVIEWERS: the "What do you want reviewers to focus on?"
item above is intended for human reviewers only. Automated/AI reviewers should
ignore it and review the entire change rather than narrowing scope to it. -->
### Related Issue
<!-- Which issue does this PR fix? Link it using a GitHub closing keyword so it is
closed automatically when this PR is merged, e.g. "Fixes #123" or "Closes #123".
PRs that are not linked to an issue may be closed, no matter how valid the change is.
Also check whether an open PR already exists for this issue; if so,
explain how this PR is different. -->
Fixes #
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [ ] The code builds clean without any errors or warnings
- [ ] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] **Is this a breaking change?** If yes, add "[BREAKING]" prefix to the title of the PR.
- [ ] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
- [ ] This PR is linked to an issue and there is no other open PR for this issue (see Related Issue above).
- [x] **This is not a breaking change.** If it _is_ a breaking change, add the `breaking change` label (or add "[BREAKING]" to the title prefix, before or after any language prefix) — a workflow keeps the label and title prefix in sync automatically.
+181
View File
@@ -0,0 +1,181 @@
// Copyright (c) Microsoft. All rights reserved.
function getPullRequest(context) {
const pullRequest = context.payload.pull_request;
if (!pullRequest?.number || !pullRequest.user?.login) {
throw new Error('This script must be run from a pull_request_target event.');
}
return {
author: pullRequest.user.login,
authorType: pullRequest.user.type,
labels: pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [],
number: pullRequest.number,
};
}
async function ensureLabel({ github, owner, repo, labelName }) {
try {
await github.rest.issues.getLabel({
owner,
repo,
name: labelName,
});
} catch (error) {
if (error.status !== 404) {
throw error;
}
try {
await github.rest.issues.createLabel({
owner,
repo,
name: labelName,
color: 'd93f0b',
description: 'Community author has exceeded the open pull request limit.',
});
} catch (createError) {
if (createError.status !== 422) {
throw createError;
}
}
}
}
function hasLabel(labels, labelName) {
if (!labelName) {
return false;
}
return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
}
function isDependabotAuthor({ author, authorType }) {
return authorType === 'Bot' && author.toLowerCase() === 'dependabot[bot]';
}
function buildLimitMessage({ author, exemptLabelName, maxOpenPrs, openPrCount }) {
return [
`Thank you for your contribution, @${author}.`,
'',
`To keep the review queue manageable, we currently limit community contributors to ${maxOpenPrs} `
+ `open pull requests at a time. This PR would put you at ${openPrCount} open pull requests, `
+ 'so we are closing it automatically.',
'',
'Please focus on getting your existing PRs reviewed, merged, or closed before opening another one. '
+ `If a maintainer asked you to open this PR, they can apply the \`${exemptLabelName}\` label and reopen it.`,
].join('\n');
}
async function getOpenPrCount({ github, owner, repo, author, pullRequestNumber }) {
const openPullRequests = await github.paginate(github.rest.pulls.list, {
owner,
repo,
state: 'open',
per_page: 100,
});
const authorOpenPullRequestNumbers = openPullRequests
.filter((pullRequest) => pullRequest.user?.login === author)
.map((pullRequest) => pullRequest.number);
const currentPrIsOpen = authorOpenPullRequestNumbers.includes(pullRequestNumber);
const existingOpenPrCount = currentPrIsOpen
? authorOpenPullRequestNumbers.length - 1
: authorOpenPullRequestNumbers.length;
return existingOpenPrCount + 1;
}
async function enforcePrLimit({ github, context, core, exemptLabelName, maxOpenPrs, labelName }) {
const { owner, repo } = context.repo;
const { author, authorType, labels, number } = getPullRequest(context);
if (isDependabotAuthor({ author, authorType })) {
core.info(`Author ${author} is Dependabot; skipping open PR limit enforcement.`);
return {
author,
closed: false,
dependabotExempt: true,
openPrCount: null,
};
}
if (hasLabel(labels, exemptLabelName)) {
core.info(`PR #${number} has the ${exemptLabelName} label; skipping open PR limit enforcement.`);
return {
author,
closed: false,
exempt: true,
openPrCount: null,
};
}
const openPrCount = await getOpenPrCount({
github,
owner,
repo,
author,
pullRequestNumber: number,
});
if (openPrCount <= maxOpenPrs) {
core.info(
`${author} has ${openPrCount} open pull request(s), which is within the limit of ${maxOpenPrs}.`,
);
return {
author,
closed: false,
openPrCount,
};
}
await ensureLabel({
github,
owner,
repo,
labelName,
});
await github.rest.issues.addLabels({
owner,
repo,
issue_number: number,
labels: [labelName],
});
await github.rest.issues.createComment({
owner,
repo,
issue_number: number,
body: buildLimitMessage({
author,
exemptLabelName,
maxOpenPrs,
openPrCount,
}),
});
await github.rest.pulls.update({
owner,
repo,
pull_number: number,
state: 'closed',
});
core.info(
`${author} has ${openPrCount} open pull request(s), which exceeds the limit of ${maxOpenPrs}. `
+ `Closed PR #${number}.`,
);
return {
author,
closed: true,
openPrCount,
};
}
module.exports = {
buildLimitMessage,
enforcePrLimit,
getOpenPrCount,
};
+253
View File
@@ -0,0 +1,253 @@
// Copyright (c) Microsoft. All rights reserved.
const BREAKING_CHANGE_LABEL = 'breaking change';
const BREAKING_PREFIX = '[BREAKING]';
const DEFAULT_PREFIX_LABELS = Object.freeze({
python: 'Python',
'.NET': '.NET',
});
const DEFAULT_BRACKET_PREFIX_LABELS = Object.freeze({
[BREAKING_CHANGE_LABEL]: BREAKING_PREFIX,
});
function escapeRegExp(value) {
return value.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
}
function getMatchingValueByKey(valuesByKey, keyToFind) {
const matchingKey = Object.keys(valuesByKey).find((key) => key.toLowerCase() === keyToFind.toLowerCase());
return matchingKey === undefined ? null : valuesByKey[matchingKey];
}
function getPrefixPattern(prefixes) {
return prefixes.map(escapeRegExp).join('|');
}
function canonicalizePrefix(prefix, prefixes) {
return prefixes.find((knownPrefix) => knownPrefix.toLowerCase() === prefix.toLowerCase()) ?? prefix;
}
function normalizeLeadingBracketPrefix(title, bracketPrefixes) {
const bracketPattern = getPrefixPattern(bracketPrefixes);
if (!bracketPattern) {
return title;
}
const leadingBracketPrefix = new RegExp(`^(${bracketPattern})(?=\\s|$)`, 'i');
return title.replace(
leadingBracketPrefix,
(bracketPrefix) => canonicalizePrefix(bracketPrefix, bracketPrefixes),
);
}
function parseLeadingTitlePrefix(title, titlePrefixes) {
const titlePrefixPattern = getPrefixPattern(titlePrefixes);
if (!titlePrefixPattern) {
return null;
}
const match = title.match(new RegExp(`^(${titlePrefixPattern}):\\s*`, 'i'));
if (!match) {
return null;
}
return {
prefix: canonicalizePrefix(match[1], titlePrefixes),
rest: title.slice(match[0].length).trimStart(),
};
}
function removeBracketPrefixToken(title, bracketPrefix) {
const bracketPrefixPattern = escapeRegExp(bracketPrefix);
return title
.replace(new RegExp(`(^|\\s+)${bracketPrefixPattern}(?=\\s|$)`, 'ig'), '$1')
.replace(/\s{2,}/g, ' ')
.trim();
}
function addTitlePrefix(title, prefix, bracketPrefixes = Object.values(DEFAULT_BRACKET_PREFIX_LABELS)) {
const bracketPattern = getPrefixPattern(bracketPrefixes);
const prefixPattern = escapeRegExp(prefix);
if (bracketPattern) {
const bracketThenTitlePrefix = new RegExp(`^(${bracketPattern})(\\s+)(${prefixPattern})(?=:)`, 'i');
if (bracketThenTitlePrefix.test(title)) {
return title.replace(
bracketThenTitlePrefix,
(match, bracketPrefix, spacing) => `${canonicalizePrefix(bracketPrefix, bracketPrefixes)}${spacing}${prefix}`,
);
}
title = normalizeLeadingBracketPrefix(title, bracketPrefixes);
}
if (!title.startsWith(`${prefix}: `)) {
const existingTitlePrefix = new RegExp(`^${prefixPattern}:\\s*`, 'i');
if (existingTitlePrefix.test(title)) {
return title.replace(existingTitlePrefix, `${prefix}: `);
}
return `${prefix}: ${title}`;
}
return title;
}
function hasBracketPrefix(title, bracketPrefix, titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS)) {
const bracketPrefixPattern = escapeRegExp(bracketPrefix);
const leadingBracketPrefix = new RegExp(`^${bracketPrefixPattern}(?=\\s|$)`, 'i');
if (leadingBracketPrefix.test(title)) {
return true;
}
const leadingTitlePrefix = parseLeadingTitlePrefix(title, titlePrefixes);
if (!leadingTitlePrefix) {
return false;
}
return leadingBracketPrefix.test(leadingTitlePrefix.rest);
}
function addBracketPrefix(title, bracketPrefix, titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS)) {
const bracketPrefixPattern = escapeRegExp(bracketPrefix);
const leadingBracketPrefix = new RegExp(`^${bracketPrefixPattern}(?=\\s|$)`, 'i');
if (leadingBracketPrefix.test(title)) {
return title.replace(leadingBracketPrefix, bracketPrefix);
}
const leadingTitlePrefix = parseLeadingTitlePrefix(title, titlePrefixes);
if (leadingTitlePrefix) {
if (leadingBracketPrefix.test(leadingTitlePrefix.rest)) {
const normalizedRest = leadingTitlePrefix.rest.replace(leadingBracketPrefix, bracketPrefix);
return `${leadingTitlePrefix.prefix}: ${normalizedRest}`;
}
const titleWithoutBracketPrefix = removeBracketPrefixToken(leadingTitlePrefix.rest, bracketPrefix);
return `${leadingTitlePrefix.prefix}: ${bracketPrefix}`
+ (titleWithoutBracketPrefix ? ` ${titleWithoutBracketPrefix}` : '');
}
const titleWithoutBracketPrefix = removeBracketPrefixToken(title, bracketPrefix);
return `${bracketPrefix}${titleWithoutBracketPrefix ? ` ${titleWithoutBracketPrefix}` : ''}`;
}
function hasLabel(labels, labelName) {
return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
}
function getCurrentTitle(context) {
switch (context.eventName) {
case 'issues':
return context.payload.issue.title;
case 'pull_request_target':
return context.payload.pull_request.title;
default:
throw new Error(`Unrecognized eventName: ${context.eventName}`);
}
}
async function updateTitleForAddedLabel({
github,
context,
core,
prefixLabels = DEFAULT_PREFIX_LABELS,
bracketPrefixLabels = DEFAULT_BRACKET_PREFIX_LABELS,
}) {
const labelAdded = context.payload.label?.name;
if (!labelAdded) {
throw new Error('This script must be run from a labeled event.');
}
const currentTitle = getCurrentTitle(context);
let newTitle = null;
const titlePrefix = getMatchingValueByKey(prefixLabels, labelAdded);
if (titlePrefix !== null) {
newTitle = addTitlePrefix(currentTitle, titlePrefix, Object.values(bracketPrefixLabels));
}
const bracketPrefix = getMatchingValueByKey(bracketPrefixLabels, labelAdded);
if (bracketPrefix !== null) {
newTitle = addBracketPrefix(currentTitle, bracketPrefix, Object.values(prefixLabels));
}
if (newTitle === null) {
core.info(`No title prefix configured for label "${labelAdded}".`);
return { updated: false, newTitle: currentTitle };
}
if (newTitle === currentTitle) {
core.info(`Title already includes the prefix for label "${labelAdded}".`);
return { updated: false, newTitle };
}
switch (context.eventName) {
case 'issues':
await github.rest.issues.update({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: newTitle,
});
break;
case 'pull_request_target':
await github.rest.pulls.update({
pull_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: newTitle,
});
break;
default:
throw new Error(`Unrecognized eventName: ${context.eventName}`);
}
return { updated: true, newTitle };
}
async function syncBreakingChangeLabelFromTitle({
github,
context,
core,
labelName = BREAKING_CHANGE_LABEL,
bracketPrefix = BREAKING_PREFIX,
titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS),
}) {
const pullRequest = context.payload.pull_request;
if (!pullRequest) {
throw new Error('This script must be run from a pull_request_target event.');
}
const title = pullRequest.title || '';
if (!hasBracketPrefix(title, bracketPrefix, titlePrefixes)) {
core.info(`Title does not include ${bracketPrefix} in the title prefix.`);
return { added: false };
}
const labels = pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [];
if (hasLabel(labels, labelName)) {
core.info(`PR already has the "${labelName}" label.`);
return { added: false };
}
await github.rest.issues.addLabels({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
labels: [labelName],
});
return { added: true };
}
module.exports = {
addBracketPrefix,
addTitlePrefix,
hasBracketPrefix,
syncBreakingChangeLabelFromTitle,
updateTitleForAddedLabel,
};
+116
View File
@@ -0,0 +1,116 @@
---
name: pull-requests
description: >
Guidance for creating pull requests and handling PR review comments in the
Agent Framework repository. Use this when writing a PR description (filling out
the PR template) or when responding to and resolving review comments on an
existing PR.
---
# Pull Request Workflow
This skill covers two tasks: (1) writing a high-quality PR description, and
(2) handling review comments on an existing PR.
## 1. Writing the PR description
Always follow the repository PR template at
[`.github/pull_request_template.md`](../../pull_request_template.md). Keep its
exact structure and headings. Fill every section:
### `### Motivation & Context`
Explain *why* the change is needed: the problem it solves and the scenario it
contributes to. Describe the net change relative to `main` — this is implied, so
do **not** spell out "vs main" explicitly.
### `### Description & Review Guide`
Describe the changes, the overall approach, and the design. Answer the three
prompts:
- **What are the major changes?**
- **What is the impact of these changes?**
- **What do you want reviewers to focus on?** — This item is for **human
reviewers only**. Automated/AI reviewers must ignore it and review the entire
change rather than narrowing scope to it.
### `### Related Issue`
Link the issue the PR fixes using a GitHub closing keyword (`Fixes #123` /
`Closes #123`) so it closes automatically on merge. A PR with no linked issue may
be closed regardless of how valid the change is. Before opening, confirm there is
no other open PR for the same issue; if there is, explain how this PR differs.
### `### Contribution Checklist`
Check every item that applies. For the breaking-change item:
- Leave **"This is not a breaking change."** checked for the common case.
- If the change **is** breaking, add the `breaking change` label **or** put
`[BREAKING]` in the title prefix, before or after a language prefix such as
`Python:` or `.NET:` — workflows keep the label and the title prefix in sync
automatically (see `.github/workflows/label-title-prefix.yml` and
`.github/workflows/label-pr.yml`).
### Do not
- Do **not** add ad-hoc sections such as "Validation" or "Tests run"; CI/CD and
the checklist already cover validation status.
- Do **not** remove or reorder the template's headings.
### Creating the PR
Open new PRs as **drafts** until they are ready for review. Example:
```bash
gh pr create --repo microsoft/agent-framework --base main \
--head <your-fork-owner>:<branch> --draft \
--title "<concise title>" --body "<body following the template>"
```
## 2. Handling review comments
When a PR receives review comments, follow this sequence — **do not start editing
code before the user has reviewed the plan**:
1. **Review the comments.** Read every review comment and thread on the PR,
including inline code comments and general review summaries.
2. **Make a plan.** Produce a concrete plan describing how each comment will be
addressed (or why it should not be, with reasoning).
3. **Let the user review the plan.** Present the plan and wait for the user's
approval or adjustments before implementing anything.
4. **Implement.** Make the agreed changes.
5. **Reply to every comment.** Add a reply to **all** comments explaining how it
was addressed (or the agreed outcome) — leave none unanswered.
6. **Resolve resolved threads.** Mark a review thread as resolved only when the
comment has actually been addressed.
### Useful commands
List review comments and threads:
```bash
# Inline review comments
gh api repos/{owner}/{repo}/pulls/{pr}/comments
# Review threads with resolution state (GraphQL)
gh api graphql -f query='
query($owner:String!,$repo:String!,$pr:Int!){
repository(owner:$owner,name:$repo){
pullRequest(number:$pr){
reviewThreads(first:100){
nodes{ id isResolved comments(first:50){ nodes{ id body author{login} } } }
}
}
}
}' -F owner={owner} -F repo={repo} -F pr={pr}
```
Reply to an inline review comment:
```bash
gh api repos/{owner}/{repo}/pulls/{pr}/comments/{comment_id}/replies \
-f body="Addressed in <commit>: <explanation>"
```
Resolve a review thread (needs the thread node id from the GraphQL query above):
```bash
gh api graphql -f query='
mutation($threadId:ID!){
resolveReviewThread(input:{threadId:$threadId}){ thread{ isResolved } }
}' -F threadId={thread_id}
```
+341
View File
@@ -0,0 +1,341 @@
// Copyright (c) Microsoft. All rights reserved.
/**
* Tests for pr_limit_moderation.js.
*
* Run with: node --test .github/tests/test_pr_limit_moderation.js
*/
const { describe, it } = require('node:test');
const assert = require('node:assert/strict');
const { enforcePrLimit } = require('../scripts/pr_limit_moderation.js');
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
function createContext({ author = 'community-user', authorType = 'User', labels = [], number = 123 } = {}) {
return {
repo: {
owner: 'microsoft',
repo: 'agent-framework',
},
payload: {
pull_request: {
number,
labels: labels.map((name) => ({ name })),
user: {
login: author,
type: authorType,
},
},
},
};
}
function createCore() {
const messages = [];
return {
messages,
info(message) {
messages.push(message);
},
};
}
function createGithub({
itemNumbers,
labelExists = true,
pullRequests = createPullRequestPage({ numbers: itemNumbers }),
}) {
const calls = [];
return {
calls,
async paginate(method, params) {
calls.push({ api: 'paginate', method, params });
return pullRequests;
},
rest: {
issues: {
async getLabel(params) {
calls.push({ api: 'issues.getLabel', params });
if (!labelExists) {
const error = new Error('Not Found');
error.status = 404;
throw error;
}
return { data: { name: params.name } };
},
async createLabel(params) {
calls.push({ api: 'issues.createLabel', params });
return { data: { name: params.name } };
},
async addLabels(params) {
calls.push({ api: 'issues.addLabels', params });
return { data: [] };
},
async createComment(params) {
calls.push({ api: 'issues.createComment', params });
return { data: { id: 1 } };
},
},
pulls: {
async list(params) {
calls.push({ api: 'pulls.list', params });
return { data: pullRequests };
},
async update(params) {
calls.push({ api: 'pulls.update', params });
return { data: { state: params.state } };
},
},
},
};
}
function createPullRequestPage({ author = 'community-user', numbers }) {
return numbers.map((number) => ({
number,
user: {
login: author,
},
}));
}
// ---------------------------------------------------------------------------
// PR limit enforcement
// ---------------------------------------------------------------------------
describe('PR limit enforcement', () => {
it('does not close the PR when the author is at the open PR limit', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 123],
});
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, false);
assert.equal(result.openPrCount, 10);
assert.deepEqual(
github.calls.map((call) => call.api),
['paginate'],
);
});
it('counts the new PR when the pull list includes it', async () => {
const github = createGithub({
itemNumbers: [123, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
});
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.equal(result.openPrCount, 11);
assert.deepEqual(
github.calls.map((call) => call.api),
[
'paginate',
'issues.getLabel',
'issues.addLabels',
'issues.createComment',
'pulls.update',
],
);
});
it('counts the current PR on top of existing open PRs', async () => {
const github = createGithub({
itemNumbers: [123, ...Array.from({ length: 24 }, (_, index) => index + 1)],
pullRequests: createPullRequestPage({
numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
}),
});
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.equal(result.openPrCount, 26);
const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
assert.match(comment, /This PR would put you at 26 open pull requests/);
});
it('creates the label when it does not already exist', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
labelExists: false,
});
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.deepEqual(
github.calls.map((call) => call.api),
[
'paginate',
'issues.getLabel',
'issues.createLabel',
'issues.addLabels',
'issues.createComment',
'pulls.update',
],
);
assert.equal(
github.calls.find((call) => call.api === 'issues.createLabel').params.name,
'too-many-prs',
);
});
it('tolerates a 422 race when creating the label', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
labelExists: false,
});
github.rest.issues.createLabel = async (params) => {
github.calls.push({ api: 'issues.createLabel', params });
const error = new Error('Validation Failed');
error.status = 422;
throw error;
};
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.deepEqual(
github.calls.map((call) => call.api),
[
'paginate',
'issues.getLabel',
'issues.createLabel',
'issues.addLabels',
'issues.createComment',
'pulls.update',
],
);
});
it('uses a diplomatic close message with the configured limit', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
pullRequests: createPullRequestPage({
author: 'octo-contributor',
numbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
}),
});
await enforcePrLimit({
github,
context: createContext({ author: 'octo-contributor' }),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
assert.match(comment, /Thank you for your contribution/);
assert.match(comment, /limit community contributors to 10 open pull requests/);
assert.match(comment, /@octo-contributor/);
assert.match(comment, /`pr-limit-exempt` label and reopen/);
});
it('does not close an exempt PR when it is reopened', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
});
const result = await enforcePrLimit({
github,
context: createContext({ labels: ['PR-LIMIT-EXEMPT'] }),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, false);
assert.equal(result.exempt, true);
assert.equal(result.openPrCount, null);
assert.deepEqual(github.calls, []);
});
it('does not close Dependabot PRs', async () => {
const github = createGithub({
itemNumbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
pullRequests: createPullRequestPage({
author: 'dependabot[bot]',
numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
}),
});
const result = await enforcePrLimit({
github,
context: createContext({ author: 'dependabot[bot]', authorType: 'Bot' }),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, false);
assert.equal(result.dependabotExempt, true);
assert.equal(result.openPrCount, null);
assert.deepEqual(github.calls, []);
});
it('counts the current PR when the author has more than one page of open PRs', async () => {
const github = createGithub({
itemNumbers: [123, ...Array.from({ length: 100 }, (_, index) => index + 1)],
});
const result = await enforcePrLimit({
github,
context: createContext({ number: 123 }),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.equal(result.openPrCount, 101);
});
});
+16 -3
View File
@@ -121,6 +121,9 @@ jobs:
python
declarative-agents
- name: Free runner disk space
uses: ./.github/actions/free-runner-disk-space
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
with:
@@ -191,6 +194,9 @@ jobs:
python
declarative-agents
- name: Free runner disk space
uses: ./.github/actions/free-runner-disk-space
# Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
- name: Start Azure Cosmos DB Emulator
if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
@@ -311,9 +317,10 @@ jobs:
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
# Anthropic Models
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL_NAME: ${{ vars.ANTHROPIC_CHAT_MODEL_NAME }}
ANTHROPIC_REASONING_MODEL_NAME: ${{ vars.ANTHROPIC_REASONING_MODEL_NAME }}
# Disable Anthropic tests by not providing environment vars until 404 failure is resolved
# ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
# ANTHROPIC_CHAT_MODEL_NAME: ${{ vars.ANTHROPIC_CHAT_MODEL_NAME }}
# ANTHROPIC_REASONING_MODEL_NAME: ${{ vars.ANTHROPIC_REASONING_MODEL_NAME }}
# Generate test reports and check coverage
- name: Generate test reports
@@ -365,6 +372,9 @@ jobs:
dotnet
python
- name: Free runner disk space
uses: ./.github/actions/free-runner-disk-space
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
with:
@@ -452,6 +462,9 @@ jobs:
python
declarative-agents
- name: Free runner disk space
uses: ./.github/actions/free-runner-disk-space
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
with:
@@ -88,6 +88,7 @@ jobs:
env:
COSMOSDB_ENDPOINT: https://localhost:8081
COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}
+3 -5
View File
@@ -2,7 +2,7 @@ name: Issue Triage
on:
issues:
types: [opened, labeled]
types: [opened, typed]
permissions:
contents: read
@@ -12,9 +12,7 @@ permissions:
concurrency:
group: >-
issue-triage-${{ github.repository }}-${{
((github.event.action == 'opened' && contains(github.event.issue.labels.*.name, 'bug'))
|| (github.event.action == 'labeled' && github.event.label.name == 'bug'))
&& github.event.issue.number
github.event.issue.type.name == 'Bug' && github.event.issue.number
|| github.run_id
}}
cancel-in-progress: true
@@ -28,7 +26,7 @@ env:
jobs:
team_check:
runs-on: ubuntu-latest
if: ${{ (github.event.action == 'opened' && contains(github.event.issue.labels.*.name, 'bug')) || (github.event.action == 'labeled' && github.event.label.name == 'bug') }}
if: ${{ github.event.issue.type.name == 'Bug' }}
outputs:
is_team_member: ${{ steps.check.outputs.is_team_member }}
issue_number: ${{ steps.issue.outputs.issue_number }}
+1 -3
View File
@@ -90,9 +90,7 @@ jobs:
// Check for issue type from issue form dropdown
const issueTypeField = getFormFieldValue(body, 'Type of Issue')
if (issueTypeField) {
if (issueTypeField === 'Bug') {
labels.push("bug")
} else if (issueTypeField === 'Feature Request') {
if (issueTypeField === 'Feature Request') {
labels.push("enhancement")
} else if (issueTypeField === 'Question') {
labels.push("question")
+19 -1
View File
@@ -6,16 +6,34 @@
# https://github.com/actions/labeler
name: Label pull request
on: [pull_request_target]
on:
pull_request_target:
types: [opened, synchronize, reopened, edited]
jobs:
add_label:
runs-on: ubuntu-latest
permissions:
contents: read
issues: write
pull-requests: write
steps:
- uses: actions/labeler@f27b608878404679385c85cfa523b85ccb86e213 # v6
with:
repo-token: "${{ secrets.GH_ACTIONS_PR_WRITE }}"
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
sparse-checkout: .github/scripts
fetch-depth: 1
persist-credentials: false
- name: "PR: add breaking change label from title"
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
script: |
const { syncBreakingChangeLabelFromTitle } = require('./.github/scripts/title_prefix.js');
await syncBreakingChangeLabelFromTitle({ github, context, core });
+9 -50
View File
@@ -15,58 +15,17 @@ jobs:
pull-requests: write
steps:
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
sparse-checkout: .github/scripts
fetch-depth: 1
persist-credentials: false
- uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
name: "Issue/PR: update title"
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
let prefixLabels = {
"python": "Python",
".NET": ".NET"
};
function addTitlePrefix(title, prefix)
{
// Update the title based on the label and prefix
// Check if the title starts with the prefix (case-sensitive)
if (!title.startsWith(prefix + ": ")) {
// If not, check if the first word is the label (case-insensitive)
if (title.match(new RegExp(`^${prefix}`, 'i'))) {
// If yes, replace it with the prefix (case-sensitive)
title = title.replace(new RegExp(`^${prefix}`, 'i'), prefix);
} else {
// If not, prepend the prefix to the title
title = prefix + ": " + title;
}
}
return title;
}
labelAdded = context.payload.label.name
// Check if the issue or PR has the label
if (labelAdded in prefixLabels) {
let prefix = prefixLabels[labelAdded];
switch(context.eventName) {
case 'issues':
github.rest.issues.update({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: addTitlePrefix(context.payload.issue.title, prefix)
});
break
case 'pull_request_target':
github.rest.pulls.update({
pull_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: addTitlePrefix(context.payload.pull_request.title, prefix)
});
break
default:
core.setFailed('Unrecognited eventName: ' + context.eventName);
}
}
const { updateTitleForAddedLabel } = require('./.github/scripts/title_prefix.js');
await updateTitleForAddedLabel({ github, context, core });
+83
View File
@@ -0,0 +1,83 @@
name: Limit community pull requests
on:
pull_request_target:
types: [opened, reopened]
permissions:
contents: read
issues: write
pull-requests: write
concurrency:
group: pr-limit-${{ github.repository }}-${{ github.event.pull_request.user.login }}
cancel-in-progress: false
env:
MAX_OPEN_PULL_REQUESTS: '10'
PR_LIMIT_EXEMPT_LABEL: pr-limit-exempt
TOO_MANY_PRS_LABEL: too-many-prs
jobs:
team_check:
runs-on: ubuntu-latest
outputs:
is_team_member: ${{ steps.check.outputs.is_team_member }}
steps:
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
sparse-checkout: .github/scripts
fetch-depth: 1
persist-credentials: false
- name: Check PR author team membership
id: check
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
env:
TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
PR_NUMBER: ${{ github.event.pull_request.number }}
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
script: |
const checkTeamMembership = require('./.github/scripts/check_team_membership.js');
const { author, isTeamMember } = await checkTeamMembership({
github,
context,
core,
teamSlug: process.env.TEAM_NAME,
issueNumber: process.env.PR_NUMBER,
});
core.setOutput('is_team_member', isTeamMember ? 'true' : 'false');
if (isTeamMember) {
core.info(`Author ${author} is a team member; skipping open PR limit.`);
} else {
core.info(`Author ${author} is not a team member; checking open PR limit.`);
}
limit_open_prs:
runs-on: ubuntu-latest
needs: team_check
if: ${{ needs.team_check.outputs.is_team_member == 'false' }}
steps:
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
sparse-checkout: .github/scripts
fetch-depth: 1
persist-credentials: false
- name: Enforce open PR limit
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
script: |
const { enforcePrLimit } = require('./.github/scripts/pr_limit_moderation.js');
await enforcePrLimit({
github,
context,
core,
exemptLabelName: process.env.PR_LIMIT_EXEMPT_LABEL,
maxOpenPrs: Number.parseInt(process.env.MAX_OPEN_PULL_REQUESTS, 10),
labelName: process.env.TOO_MANY_PRS_LABEL,
});
@@ -23,6 +23,14 @@ jobs:
with:
persist-credentials: false
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: 20
- name: Install Chrome for Puppeteer
run: npx puppeteer browsers install chrome
# Checks the status of hyperlinks in all files
- name: Run linkspector
uses: umbrelladocs/action-linkspector@963b6264d7de32c904942a70b488d3407453049e # v1
+1 -1
View File
@@ -27,7 +27,7 @@ jobs:
# "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_NAMES: "CodeQL,CodeQL analysis (csharp),Cleanup artifacts,Agent,Prepare,Upload results"
IGNORED_NAMES: "CodeQL,CodeQL analysis (csharp),Cleanup artifacts,Agent,Prepare,Upload results,review"
with:
script: |
const timeoutSeconds = Number(process.env.TIMEOUT_SECONDS);
+8 -6
View File
@@ -6,6 +6,10 @@ on:
branches: ["main"]
paths:
- "python/**"
- "!python/AGENTS.md"
- "!python/**/AGENTS.md"
- "!python/.github/skills/*"
- "!python/.github/skills/**"
env:
# Configure a constant location for the uv cache
@@ -109,8 +113,8 @@ jobs:
- name: Run markdown code lint
run: uv run poe markdown-code-lint
mypy:
name: Mypy Checks
test-typing:
name: Test Typing Checks
if: "!cancelled()"
strategy:
fail-fast: false
@@ -135,7 +139,5 @@ jobs:
os: ${{ runner.os }}
env:
UV_CACHE_DIR: /tmp/.uv-cache
- name: Run Mypy
env:
GITHUB_BASE_REF: ${{ github.event.pull_request.base.ref || github.base_ref || 'main' }}
run: uv run python scripts/workspace_poe_tasks.py ci-mypy
- name: Run tests/samples type checkers (mypy, pyrefly, ty)
run: uv run python scripts/workspace_poe_tasks.py ci-test-typing
@@ -0,0 +1,365 @@
name: Python - Dependency Maintenance
on:
workflow_dispatch:
schedule:
- cron: "0 4 * * 1"
permissions:
contents: write
issues: write
pull-requests: write
concurrency:
group: python-dependency-maintenance
cancel-in-progress: false
env:
UV_CACHE_DIR: /tmp/.uv-cache
jobs:
dependency-maintenance:
name: Dependency Maintenance
runs-on: ubuntu-latest
env:
# Match the existing Python dependency maintenance workflows. Reevaluate if package
# installability starts differing across supported Python versions.
UV_PYTHON: "3.13"
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
fetch-depth: 0
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
env:
UV_CACHE_DIR: /tmp/.uv-cache
- name: Set dependency release cutoff
run: |
cutoff="$(date -u -d '7 days ago' '+%Y-%m-%dT%H:%M:%SZ')"
echo "DEPENDENCY_RELEASE_CUTOFF=${cutoff}" >> "$GITHUB_ENV"
echo "Using dependency release cutoff: ${cutoff}"
- name: Repin dev dependency declarations
run: uv run poe upgrade-dev-dependency-pins
working-directory: ./python
- name: Refresh lockfile after dev pin updates
run: uv lock
working-directory: ./python
- name: Save dev dependency changes
run: |
DEV_PATCH="${RUNNER_TEMP}/python-dev-dependency-updates.patch"
git diff -- python/pyproject.toml "python/packages/*/pyproject.toml" python/uv.lock > "${DEV_PATCH}"
if [ -s "${DEV_PATCH}" ]; then
echo "has_dev_changes=true" >> "$GITHUB_OUTPUT"
else
echo "has_dev_changes=false" >> "$GITHUB_OUTPUT"
fi
echo "patch=${DEV_PATCH}" >> "$GITHUB_OUTPUT"
id: dev_changes
- name: Run dependency bounds test scenarios
id: validate_bounds_test
continue-on-error: true
run: uv run poe validate-dependency-bounds-test --package "*"
working-directory: ./python
- name: Run dependency upper-bound validation
id: validate_ranges
if: steps.validate_bounds_test.outcome == 'success'
continue-on-error: true
run: uv run poe validate-dependency-bounds-project --mode upper --package "*"
working-directory: ./python
- name: Upload dependency validation reports
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: dependency-maintenance-results
path: |
python/scripts/dependencies/dependency-bounds-test-results.json
python/scripts/dependencies/dependency-range-results.json
if-no-files-found: warn
- name: Create issue for failed dependency bounds test
if: steps.validate_bounds_test.outcome != 'success'
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const fs = require("fs")
const reportPath = "python/scripts/dependencies/dependency-bounds-test-results.json"
const owner = context.repo.owner
const repo = context.repo.repo
const openIssues = await github.paginate(github.rest.issues.listForRepo, {
owner,
repo,
state: "open",
per_page: 100,
})
const openIssueTitles = new Set(
openIssues.filter((issue) => !issue.pull_request).map((issue) => issue.title)
)
const formatError = (message) => String(message || "No error output captured.").replace(/```/g, "'''")
const title = "Dependency bounds test failed"
if (openIssueTitles.has(title)) {
core.info(`Issue already exists: ${title}`)
return
}
const bodyLines = [
"Automated dependency bounds test mode failed before dependency upper-bound validation could run.",
"",
"The weekly dependency maintenance workflow kept only dev dependency updates for the generated PR, if any, and skipped dependency range updates for this run.",
"",
]
if (fs.existsSync(reportPath)) {
const report = JSON.parse(fs.readFileSync(reportPath, "utf8"))
const failedScenarios = (report.scenarios ?? []).filter((scenario) => scenario.status === "failed")
for (const scenario of failedScenarios) {
bodyLines.push(`### ${scenario.name} scenario (${scenario.resolution})`)
const failedPackages = (scenario.packages ?? []).filter((pkg) => pkg.status === "failed")
for (const pkg of failedPackages.slice(0, 10)) {
bodyLines.push(
"",
`- Package: \`${pkg.package_name}\``,
`- Project path: \`${pkg.project_path}\``,
"",
"```",
formatError(pkg.error).slice(0, 3500),
"```"
)
}
if (failedPackages.length > 10) {
bodyLines.push("", `_Additional failed packages omitted: ${failedPackages.length - 10}_`)
}
}
} else {
bodyLines.push(`No dependency bounds test report was found at \`${reportPath}\`.`)
}
bodyLines.push("", `Workflow run: ${context.serverUrl}/${owner}/${repo}/actions/runs/${context.runId}`)
await github.rest.issues.create({
owner,
repo,
title,
body: bodyLines.join("\n"),
})
core.info(`Created issue: ${title}`)
- name: Create issues for failed dependency candidates
if: always()
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const fs = require("fs")
const reportPath = "python/scripts/dependencies/dependency-range-results.json"
if (!fs.existsSync(reportPath)) {
core.info(`No dependency range report found at ${reportPath}`)
return
}
const report = JSON.parse(fs.readFileSync(reportPath, "utf8"))
const dependencyFailures = []
for (const packageResult of report.packages ?? []) {
for (const dependency of packageResult.dependencies ?? []) {
const candidateVersions = new Set(dependency.candidate_versions ?? [])
const failedAttempts = (dependency.attempts ?? []).filter(
(attempt) => attempt.status === "failed" && candidateVersions.has(attempt.trial_upper)
)
if (!failedAttempts.length) {
continue
}
const failuresByVersion = new Map()
for (const attempt of failedAttempts) {
const version = attempt.trial_upper || "unknown"
if (!failuresByVersion.has(version)) {
failuresByVersion.set(version, attempt.error || "No error output captured.")
}
}
dependencyFailures.push({
packageName: packageResult.package_name,
projectPath: packageResult.project_path,
dependencyName: dependency.name,
originalRequirements: dependency.original_requirements ?? [],
finalRequirements: dependency.final_requirements ?? [],
failedVersions: [...failuresByVersion.entries()].map(([version, error]) => ({ version, error })),
})
}
}
if (!dependencyFailures.length) {
core.info("No failing dependency candidates found.")
return
}
const owner = context.repo.owner
const repo = context.repo.repo
const openIssues = await github.paginate(github.rest.issues.listForRepo, {
owner,
repo,
state: "open",
per_page: 100,
})
const openIssueTitles = new Set(
openIssues.filter((issue) => !issue.pull_request).map((issue) => issue.title)
)
const formatError = (message) => String(message || "No error output captured.").replace(/```/g, "'''")
for (const failure of dependencyFailures) {
const title = `Dependency validation failed: ${failure.dependencyName} (${failure.packageName})`
if (openIssueTitles.has(title)) {
core.info(`Issue already exists: ${title}`)
continue
}
const visibleFailures = failure.failedVersions.slice(0, 5)
const omittedCount = failure.failedVersions.length - visibleFailures.length
const failureDetails = visibleFailures
.map(
(entry) =>
`- \`${entry.version}\`\n\n\`\`\`\n${formatError(entry.error).slice(0, 3500)}\n\`\`\``
)
.join("\n\n")
const body = [
"Automated dependency range validation found candidate versions that failed checks.",
"",
`- Package: \`${failure.packageName}\``,
`- Project path: \`${failure.projectPath}\``,
`- Dependency: \`${failure.dependencyName}\``,
`- Original requirements: ${
failure.originalRequirements.length
? failure.originalRequirements.map((value) => `\`${value}\``).join(", ")
: "_none_"
}`,
`- Final requirements after run: ${
failure.finalRequirements.length
? failure.finalRequirements.map((value) => `\`${value}\``).join(", ")
: "_none_"
}`,
"",
"### Failed versions and errors",
failureDetails,
omittedCount > 0 ? `\n_Additional failed versions omitted: ${omittedCount}_` : "",
"",
`Workflow run: ${context.serverUrl}/${owner}/${repo}/actions/runs/${context.runId}`,
].join("\n")
await github.rest.issues.create({
owner,
repo,
title,
body,
})
openIssueTitles.add(title)
core.info(`Created issue: ${title}`)
}
- name: Keep only dev updates when range validation fails
if: steps.validate_bounds_test.outcome != 'success' || steps.validate_ranges.outcome != 'success'
env:
DEV_PATCH: ${{ steps.dev_changes.outputs.patch }}
HAS_DEV_CHANGES: ${{ steps.dev_changes.outputs.has_dev_changes }}
run: |
git restore python/pyproject.toml python/packages/*/pyproject.toml python/uv.lock
if [ "${HAS_DEV_CHANGES}" = "true" ]; then
git apply "${DEV_PATCH}"
fi
- name: Refresh lockfile after dependency range updates
if: steps.validate_bounds_test.outcome == 'success' && steps.validate_ranges.outcome == 'success'
run: uv lock
working-directory: ./python
- name: Install final dependency set
run: uv run poe install
working-directory: ./python
- name: Run final checks
run: uv run poe check
working-directory: ./python
- name: Run final typing
run: uv run poe typing
working-directory: ./python
- name: Commit and push dependency updates
id: commit_updates
run: |
BRANCH="automation/python-dependency-maintenance"
git config user.name "github-actions[bot]"
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
git checkout -B "${BRANCH}"
git add python/pyproject.toml python/packages/*/pyproject.toml python/uv.lock
if git diff --cached --quiet; then
echo "has_changes=false" >> "$GITHUB_OUTPUT"
echo "No dependency updates to commit."
exit 0
fi
git commit -m "Python: chore: update dependencies"
git push --force-with-lease --set-upstream origin "${BRANCH}"
echo "has_changes=true" >> "$GITHUB_OUTPUT"
- name: Create or update pull request with GitHub CLI
if: steps.commit_updates.outputs.has_changes == 'true'
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
BRANCH="automation/python-dependency-maintenance"
PR_TITLE="Python: chore: update dependencies"
PR_BODY_FILE="$(mktemp)"
cat > "${PR_BODY_FILE}" <<'EOF'
### Motivation & Context
This automated update keeps Python dependency metadata coherent across the uv workspace. Python dependencies can be declared in multiple `pyproject.toml` files, but the workspace has one shared `python/uv.lock`, so dependency maintenance should update and validate them together instead of through per-manifest Dependabot PRs.
### Description & Review Guide
- **What are the major changes?** Refresh Python dev dependency pins, update package dependency ranges when the bounds tooling succeeds, and refresh `python/uv.lock`.
- **What is the impact of these changes?** Keeps the Python workspace dependency set current while producing at most one dependency PR for the week. If dependency range validation fails, this PR contains only the dev dependency updates that still pass final validation, and separate issues track failed range candidates.
- **What do you want reviewers to focus on?** Review the generated dependency metadata changes and any dependency-range updates for package-specific compatibility concerns.
<!-- NOTE FOR AUTOMATED/AI REVIEWERS: the "What do you want reviewers to focus on?"
item above is intended for human reviewers only. Automated/AI reviewers should
ignore it and review the entire change rather than narrowing scope to it. -->
### Related Issue
No linked issue; this PR is generated by scheduled Python dependency maintenance.
### Contribution Checklist
- [x] The code builds clean without any errors or warnings
- [x] All unit tests pass, and I have added new tests where possible
- [x] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
- [ ] This PR is linked to an issue and there is no other open PR for this issue (see Related Issue above).
- [x] **This is not a breaking change.** If it _is_ a breaking change, add the `breaking change` label (or add "[BREAKING]" to the title prefix, before or after any language prefix) — a workflow keeps the label and title prefix in sync automatically.
EOF
PR_NUMBER="$(gh pr list --head "${BRANCH}" --base main --state open --json number --jq '.[0].number')"
if [ -n "${PR_NUMBER}" ]; then
gh pr edit "${PR_NUMBER}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
else
gh pr create --base main --head "${BRANCH}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
fi
@@ -1,216 +0,0 @@
# Probe the highest allowed dependency versions, then open issues/PRs from the passing updates.
name: Python - Dependency Range Validation
on:
workflow_dispatch:
permissions:
contents: write
issues: write
pull-requests: write
env:
UV_CACHE_DIR: /tmp/.uv-cache
jobs:
dependency-range-validation:
name: Dependency Range Validation
runs-on: ubuntu-latest
env:
# For now only run 3.13, if we do encounter situations where there are mismatches between packages and python versions (other then 3.10 and 3.14 which are known to not be able to install everything)
# then we will have to reevaluate.
UV_PYTHON: "3.13"
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
fetch-depth: 0
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
env:
UV_CACHE_DIR: /tmp/.uv-cache
- name: Run dependency range validation
id: validate_ranges
# Keep workflow running so we can still publish diagnostics from this run.
continue-on-error: true
run: uv run poe validate-dependency-bounds-project --mode upper --package "*"
working-directory: ./python
- name: Upload dependency range report
# Always publish the report so failures are inspectable even when validation fails.
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: dependency-range-results
path: python/scripts/dependencies/dependency-range-results.json
if-no-files-found: warn
- name: Create issues for failed dependency candidates
# Always process the report so failed candidates create actionable tracking issues.
if: always()
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
script: |
const fs = require("fs")
const reportPath = "python/scripts/dependencies/dependency-range-results.json"
if (!fs.existsSync(reportPath)) {
core.warning(`No dependency range report found at ${reportPath}`)
return
}
const report = JSON.parse(fs.readFileSync(reportPath, "utf8"))
const dependencyFailures = []
for (const packageResult of report.packages ?? []) {
for (const dependency of packageResult.dependencies ?? []) {
const candidateVersions = new Set(dependency.candidate_versions ?? [])
const failedAttempts = (dependency.attempts ?? []).filter(
(attempt) => attempt.status === "failed" && candidateVersions.has(attempt.trial_upper)
)
if (!failedAttempts.length) {
continue
}
const failuresByVersion = new Map()
for (const attempt of failedAttempts) {
const version = attempt.trial_upper || "unknown"
if (!failuresByVersion.has(version)) {
failuresByVersion.set(version, attempt.error || "No error output captured.")
}
}
dependencyFailures.push({
packageName: packageResult.package_name,
projectPath: packageResult.project_path,
dependencyName: dependency.name,
originalRequirements: dependency.original_requirements ?? [],
finalRequirements: dependency.final_requirements ?? [],
failedVersions: [...failuresByVersion.entries()].map(([version, error]) => ({ version, error })),
})
}
}
if (!dependencyFailures.length) {
core.info("No failing dependency candidates found.")
return
}
const owner = context.repo.owner
const repo = context.repo.repo
const openIssues = await github.paginate(github.rest.issues.listForRepo, {
owner,
repo,
state: "open",
per_page: 100,
})
const openIssueTitles = new Set(
openIssues.filter((issue) => !issue.pull_request).map((issue) => issue.title)
)
const formatError = (message) => String(message || "No error output captured.").replace(/```/g, "'''")
for (const failure of dependencyFailures) {
const title = `Dependency validation failed: ${failure.dependencyName} (${failure.packageName})`
if (openIssueTitles.has(title)) {
core.info(`Issue already exists: ${title}`)
continue
}
const visibleFailures = failure.failedVersions.slice(0, 5)
const omittedCount = failure.failedVersions.length - visibleFailures.length
const failureDetails = visibleFailures
.map(
(entry) =>
`- \`${entry.version}\`\n\n\`\`\`\n${formatError(entry.error).slice(0, 3500)}\n\`\`\``
)
.join("\n\n")
const body = [
"Automated dependency range validation found candidate versions that failed checks.",
"",
`- Package: \`${failure.packageName}\``,
`- Project path: \`${failure.projectPath}\``,
`- Dependency: \`${failure.dependencyName}\``,
`- Original requirements: ${
failure.originalRequirements.length
? failure.originalRequirements.map((value) => `\`${value}\``).join(", ")
: "_none_"
}`,
`- Final requirements after run: ${
failure.finalRequirements.length
? failure.finalRequirements.map((value) => `\`${value}\``).join(", ")
: "_none_"
}`,
"",
"### Failed versions and errors",
failureDetails,
omittedCount > 0 ? `\n_Additional failed versions omitted: ${omittedCount}_` : "",
"",
`Workflow run: ${context.serverUrl}/${owner}/${repo}/actions/runs/${context.runId}`,
].join("\n")
await github.rest.issues.create({
owner,
repo,
title,
body,
})
openIssueTitles.add(title)
core.info(`Created issue: ${title}`)
}
- name: Refresh lockfile
# Only refresh lockfile after a clean validation to avoid committing known-bad ranges.
if: steps.validate_ranges.outcome == 'success'
run: uv lock --upgrade
working-directory: ./python
- name: Commit and push dependency updates
id: commit_updates
if: steps.validate_ranges.outcome == 'success'
run: |
BRANCH="automation/python-dependency-range-updates"
git config user.name "github-actions[bot]"
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
git checkout -B "${BRANCH}"
git add python/packages/*/pyproject.toml python/uv.lock
if git diff --cached --quiet; then
echo "has_changes=false" >> "$GITHUB_OUTPUT"
echo "No dependency updates to commit."
exit 0
fi
git commit -m "chore: update dependency ranges"
git push --force-with-lease --set-upstream origin "${BRANCH}"
echo "has_changes=true" >> "$GITHUB_OUTPUT"
- name: Create or update pull request with GitHub CLI
# Only open/update PRs for validated updates to keep automation branches trustworthy.
if: steps.validate_ranges.outcome == 'success' && steps.commit_updates.outputs.has_changes == 'true'
run: |
BRANCH="automation/python-dependency-range-updates"
PR_TITLE="Python: chore: update dependency ranges"
PR_BODY_FILE="$(mktemp)"
cat > "${PR_BODY_FILE}" <<'EOF'
This PR was generated by the dependency range validation workflow.
- Ran `uv run poe validate-dependency-bounds-project --mode upper --package "*"`
- Updated package dependency bounds
- Refreshed `python/uv.lock` with `uv lock --upgrade`
EOF
PR_NUMBER="$(gh pr list --head "${BRANCH}" --base main --state open --json number --jq '.[0].number')"
if [ -n "${PR_NUMBER}" ]; then
gh pr edit "${PR_NUMBER}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
else
gh pr create --base main --head "${BRANCH}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
fi
@@ -1,91 +0,0 @@
name: Python - Dev Dependency Upgrade
on:
workflow_dispatch:
permissions:
contents: write
pull-requests: write
env:
UV_CACHE_DIR: /tmp/.uv-cache
jobs:
upgrade-dev-dependencies:
name: Upgrade Dev Dependencies
runs-on: ubuntu-latest
env:
UV_PYTHON: "3.13"
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
fetch-depth: 0
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
env:
UV_CACHE_DIR: /tmp/.uv-cache
- name: Upgrade dev dependencies and validate workspace
run: uv run poe upgrade-dev-dependencies
working-directory: ./python
- name: Commit and push dev dependency updates
id: commit_updates
run: |
BRANCH="automation/python-dev-dependency-updates"
git config user.name "github-actions[bot]"
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
git checkout -B "${BRANCH}"
git add python/pyproject.toml python/packages/*/pyproject.toml python/uv.lock
if git diff --cached --quiet; then
echo "has_changes=false" >> "$GITHUB_OUTPUT"
echo "No dev dependency updates to commit."
exit 0
fi
git commit -F- <<'EOF'
Python: chore: upgrade dev dependencies
EOF
git push --force-with-lease --set-upstream origin "${BRANCH}"
echo "has_changes=true" >> "$GITHUB_OUTPUT"
- name: Create or update pull request with GitHub CLI
if: steps.commit_updates.outputs.has_changes == 'true'
run: |
BRANCH="automation/python-dev-dependency-updates"
PR_TITLE="Python: chore: upgrade dev dependencies"
PR_BODY_FILE="$(mktemp)"
cat > "${PR_BODY_FILE}" <<'EOF'
### Motivation and Context
This automated update refreshes Python dev dependency pins across the workspace and reruns the repo validation gates before opening a pull request.
### Description
- Ran `uv run poe upgrade-dev-dependencies`
- Refreshed dev dependency pins in workspace `pyproject.toml` files
- Refreshed `python/uv.lock` with `uv lock --upgrade`
- Reinstalled from the frozen lockfile and reran `check`, `typing`, and `test`
### Contribution Checklist
- [x] The code builds clean without any errors or warnings
- [x] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
- [x] All unit tests pass, and I have added new tests where possible
- [ ] **Is this a breaking change?** If yes, add "[BREAKING]" prefix to the title of the PR.
EOF
PR_NUMBER="$(gh pr list --head "${BRANCH}" --base main --state open --json number --jq '.[0].number')"
if [ -n "${PR_NUMBER}" ]; then
gh pr edit "${PR_NUMBER}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
else
gh pr create --base main --head "${BRANCH}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
fi
+42 -1
View File
@@ -474,6 +474,45 @@ jobs:
path: ./python/pytest.xml
if-no-files-found: ignore
# GitHub Copilot integration tests
python-tests-github-copilot:
name: Python Integration Tests - GitHub Copilot
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
GITHUB_COPILOT_TIMEOUT: "120"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # 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 (GitHub Copilot integration)
run: >
uv run pytest --import-mode=importlib
packages/github_copilot/tests
-m integration
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-github-copilot
path: ./python/pytest.xml
if-no-files-found: ignore
# Integration test trend report (aggregates per-job JUnit XML results)
python-integration-test-report:
name: Integration Test Report
@@ -490,6 +529,7 @@ jobs:
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
python-tests-github-copilot,
]
runs-on: ubuntu-latest
defaults:
@@ -553,7 +593,8 @@ jobs:
python-tests-functions,
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos
python-tests-cosmos,
python-tests-github-copilot
]
steps:
- name: Fail workflow if tests failed
+4 -3
View File
@@ -31,6 +31,10 @@ jobs:
filters: |
python:
- 'python/**'
- '!python/AGENTS.md'
- '!python/**/AGENTS.md'
- '!python/.github/skills/*'
- '!python/.github/skills/**'
# run only if 'python' files were changed
- name: python tests
if: steps.filter.outputs.python == 'true'
@@ -88,9 +92,6 @@ jobs:
- name: Run lab type checking
run: cd packages/lab && uv run poe pyright
- name: Run lab mypy
run: cd packages/lab && uv run poe mypy
# Surface failing tests
- name: Surface failing tests
if: always()
+57
View File
@@ -40,6 +40,7 @@ jobs:
foundryChanged: ${{ steps.filter.outputs.foundry }}
foundryHostingChanged: ${{ steps.filter.outputs.foundry_hosting }}
cosmosChanged: ${{ steps.filter.outputs.cosmos }}
githubCopilotChanged: ${{ steps.filter.outputs.github_copilot }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: dorny/paths-filter@d1c1ffe0248fe513906c8e24db8ea791d46f8590 # v3
@@ -85,6 +86,8 @@ jobs:
- 'python/packages/foundry_hosting/**'
cosmos:
- 'python/packages/azure-cosmos/**'
github_copilot:
- 'python/packages/github_copilot/**'
# run only if 'python' files were changed
- name: python tests
if: steps.filter.outputs.python == 'true'
@@ -658,6 +661,58 @@ jobs:
path: ./python/pytest.xml
if-no-files-found: ignore
# GitHub Copilot integration tests
python-tests-github-copilot:
name: Python Tests - GitHub Copilot 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.githubCopilotChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
GITHUB_COPILOT_TIMEOUT: "120"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # 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 (GitHub Copilot integration)
run: >
uv run pytest --import-mode=importlib
packages/github_copilot/tests
-m integration
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
with:
path: ./python/pytest.xml
summary: true
display-options: fEX
fail-on-empty: false
title: GitHub Copilot integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-github-copilot
path: ./python/pytest.xml
if-no-files-found: ignore
# Integration test trend report (aggregates per-job JUnit XML results)
python-integration-test-report:
name: Integration Test Report
@@ -674,6 +729,7 @@ jobs:
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
python-tests-github-copilot,
]
runs-on: ubuntu-latest
defaults:
@@ -735,6 +791,7 @@ jobs:
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
python-tests-github-copilot,
]
steps:
- name: Fail workflow if tests failed
@@ -8,6 +8,7 @@ on:
permissions:
contents: read
actions: read
pull-requests: write
jobs:
@@ -23,32 +24,42 @@ jobs:
- name: Download coverage report
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
github-token: ${{ github.token }}
run-id: ${{ github.event.workflow_run.id }}
path: ./python
merge-multiple: true
- name: Display structure of downloaded files
run: ls
- name: Read and set PR number
# Need to read the PR number from the file saved in the previous workflow
# because the workflow_run event does not have access to the PR number
# The PR number is needed to post the comment on the PR
- name: Read and validate PR number
# Keep the artifact handoff aligned with the workflow run that produced it.
env:
GH_TOKEN: ${{ github.token }}
REPO: ${{ github.repository }}
RUN_HEAD_SHA: ${{ github.event.workflow_run.head_sha }}
run: |
if [ ! -s pr_number ]; then
echo "PR number file 'pr_number' is missing or empty"
exit 1
fi
PR_NUMBER=$(head -1 pr_number | tr -dc '0-9')
if [ -z "$PR_NUMBER" ]; then
echo "PR number file 'pr_number' does not contain a valid PR number"
ARTIFACT_PR_NUMBER=$(cat pr_number)
if ! [[ "$ARTIFACT_PR_NUMBER" =~ ^[0-9]+$ ]]; then
echo "::error::PR number file contains invalid content"
exit 1
fi
echo "PR_NUMBER=$PR_NUMBER" >> "$GITHUB_ENV"
PR_HEAD_SHA=$(gh pr view "$ARTIFACT_PR_NUMBER" --repo "$REPO" --json headRefOid --jq '.headRefOid')
if [ "$PR_HEAD_SHA" != "$RUN_HEAD_SHA" ]; then
echo "::error::PR head SHA does not match the triggering workflow run"
exit 1
fi
echo "PR_NUMBER=$ARTIFACT_PR_NUMBER" >> "$GITHUB_ENV"
- name: Pytest coverage comment
id: coverageComment
uses: MishaKav/pytest-coverage-comment@26f986d2599c288bb62f623d29c2da98609e9cd4 # v1.6.0
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
github-token: ${{ github.token }}
issue-number: ${{ env.PR_NUMBER }}
pytest-xml-coverage-path: python/python-coverage.xml
title: "Python Test Coverage Report"
+4
View File
@@ -5,6 +5,10 @@ on:
branches: ["main", "feature*"]
paths:
- "python/**"
- "!python/AGENTS.md"
- "!python/**/AGENTS.md"
- "!python/.github/skills/*"
- "!python/.github/skills/**"
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
+3
View File
@@ -206,6 +206,7 @@ temp*/
.temp/
# AI
**/.checkpoints/
.claude/
.omc/
.omx/
@@ -213,6 +214,7 @@ WARP.md
**/memory-bank/
**/projectBrief.md
**/tmpclaude*
.kiro/
# Dependency-bound validation reports
python/scripts/dependency-*-results.json
python/scripts/dependencies/dependency-*-results.json
@@ -248,3 +250,4 @@ dotnet/filtered-*.slnx
.omx/
**/issues/
.test_*
+17 -17
View File
@@ -1,17 +1,17 @@
# Support
## How to file issues and get help
This project uses GitHub Issues to track bugs and feature requests. Please search the existing
issues before filing new issues to avoid duplicates. For new issues, file your bug or
feature request as a new Issue.
For help and questions about using this project, please create a GitHub issue.
AI Support team will support Microsoft Agent Framework issues for customers under a **Unified support agreement when the issue arises from usage of Azure AI services** (Foundry Models, Foundry Agents etc.) in conjunction with the SDK. Conversely, if customer has any other / non unified support agreement and/or Agent Framework SDK is used in a way **not involving an Azure service**, it is treated as a purely open-source tool Microsofts support organization will not handle it, and users should use GitHub or forums for assistance
For Copilot Studio SDK implementation issues, customers should use GitHub Issues for assistance, as outlined above. Conversely, for prerequisites managed within the Copilot Studio portal, customers can rely on the standard Microsoft Copilot Studio support channels.
## Microsoft Support Policy
Support for this **PROJECT or PRODUCT** is limited to the resources listed above.
# Support
## How to file issues and get help
This project uses GitHub Issues to track bugs and feature requests. Please search the existing
issues before filing new issues to avoid duplicates. For new issues, file your bug or
feature request as a new Issue.
For help and questions about using this project, please create a GitHub issue.
AI Support team will support Microsoft Agent Framework issues for customers under a **Unified support agreement when the issue arises from usage of Azure AI services** (Foundry Models, Foundry Agents etc.) in conjunction with the SDK. Conversely, if customer has any other / non unified support agreement and/or Agent Framework SDK is used in a way **not involving an Azure service**, it is treated as a purely open-source tool Microsofts support organization will not handle it, and users should use GitHub or forums for assistance
For Copilot Studio SDK implementation issues, customers should use GitHub Issues for assistance, as outlined above. Conversely, for prerequisites managed within the Copilot Studio portal, customers can rely on the standard Microsoft Copilot Studio support channels.
## Microsoft Support Policy
Support for this **PROJECT or PRODUCT** is limited to the resources listed above.
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@@ -1125,7 +1125,7 @@ Naming (Python): N/A (Composable Components)
Supports: N
Observation: No explicit middleware/filters; modularity allows composable units but no dedicated interception hooks or callbacks for custom reading/modification mid-execution.
For more details, see the official documentation: [Atomic Agents Docs](https://brainblend-ai.github.io/atomic-agents/). No specific code examples available for interception.
No specific code examples available for interception.
#### Smolagents (Hugging Face)
+144
View File
@@ -0,0 +1,144 @@
---
status: accepted
contact: eavanvalkenburg
date: 2026-06-11
deciders: eavanvalkenburg
---
# Python minimal hosting core and pluggable channels
## Context and Problem Statement
Agent Framework has several protocol-specific hosting surfaces. App authors who want one agent or workflow on multiple protocols must compose servers, routes, middleware, session handling, and lifecycle code by hand.
We will introduce a small Python hosting core that owns the common server shape and leaves protocol details inside channel packages. The first public contract must be intentionally narrow so Python can ship a base contract before adding identity linking, proactive delivery, or multicast behavior. Other language implementations may reuse the same conceptual boundary, but this ADR records the Python decision.
## Decision Drivers
- Keep the first host easy to explain: one app, one hostable target, one or more channels.
- Reuse Agent Framework's existing agent, workflow, session, history, and checkpoint primitives.
- Let channel packages own protocol parsing, protocol responses, authentication details, and native command surfaces.
- Make session continuity explicit through a channel-supplied `ChannelSession(isolation_key=...)`.
- Avoid approving cross-channel identity and delivery semantics before their safety model is reviewed.
## Considered Options
1. Keep only protocol-specific hosts.
2. Ship a large hosting core with identity linking, authorization, background delivery, active-channel routing, and multicast in v1.
3. Ship a minimal host/channel core now and track linking/multicast as follow-up work.
### Keep only protocol-specific hosts
- Good: no new abstraction or package surface.
- Neutral: each protocol can continue evolving independently.
- Bad: every multi-channel app still has to compose servers, lifecycle, and session handling by hand.
### Ship the large cross-channel host in v1
- Good: the richest cross-channel scenarios are available immediately.
- Neutral: the host becomes the natural place to demonstrate identity and delivery policy.
- Bad: v1 becomes a security-sensitive identity and delivery system before the safety model is reviewed.
### Ship the minimal core now
- Good: the host/channel boundary can be implemented, tested, and explained without solving linking and durable delivery at the same time.
- Neutral: apps that need richer behavior must build it locally or wait for ADR-0028 follow-up work.
- Bad: proactive delivery and multicast scenarios are deliberately absent from v1.
## Decision Outcome
Chosen option: **minimal host/channel core now, follow-up enhancements later**.
`AgentFrameworkHost` owns:
- one application object,
- one hostable target (`SupportsAgentRun` agent-compatible object or a `Workflow`), and
- one or more channels.
Channels own:
- contributed routes, middleware, commands, and lifecycle callbacks,
- protocol-native request parsing into `ChannelRequest`,
- protocol-native rendering of the originating response, and
- any channel-specific authentication or signature validation.
The host owns:
- route/lifecycle aggregation,
- invocation of the target,
- `ChannelSession(isolation_key=...)` to `AgentSession` resolution and caching,
- `reset_session(isolation_key=...)`,
- host-level middleware, including Foundry isolation middleware only when the Foundry hosting environment flag is present,
- invocation of per-channel hooks (`ChannelRunHook`, `ChannelResponseHook`, `ChannelStreamUpdateHook`), and
- workflow checkpoint wiring through an explicit `checkpoint_location`.
`ChannelIdentity`, when present, is request metadata only. In v1 it is not a linking, authorization, or delivery key.
### Trust boundary for `isolation_key`
The host treats `ChannelSession.isolation_key` as a session partition key, not as proof of identity. Channels or host middleware must authenticate and authorize any externally supplied value before passing it to the host. For example, a Responses caller must not be allowed to choose an arbitrary `previous_response_id` or header-derived key unless the platform or middleware has already established that the caller owns that conversation. The host deliberately does not infer that trust from the string itself.
### Hook ownership
Channels provide hook configuration and protocol-native context. The host invokes those hooks as part of the common invocation pipeline:
- `ChannelRunHook` runs after channel parsing and before target invocation.
- `ChannelResponseHook` runs after target invocation and before the originating channel serializes its response.
- `ChannelStreamUpdateHook` is applied by the host while the channel consumes streamed updates because streaming serialization is protocol-specific.
`ChannelStreamUpdateHook` is an update hook, not a final-response sanitizer. Channels that use it for redaction or filtering must also apply equivalent policy to any final response they render. Channels choose whether the response is streaming before run hooks execute.
This keeps hook call conventions centralized while leaving protocol payload parsing and response formatting in channel packages.
### State owned by v1
`state_dir` is limited to host-owned local files for reset-session aliases and workflow checkpoint path derivation. It does not store linked identities, active-channel state, response-routing state, continuation records, durable runner queues, or delivery attempts. Those storage concerns belong to ADR-0028.
## Non-goals for v1
The following are deliberately **not** part of the v1 contract:
- cross-channel identity linking (`IdentityLinker`, `local_identity_link`, or `agent-framework-hosting-entra`),
- identity allowlists or authorization policy (`IdentityAllowlist`, `AuthPolicy`),
- response routing beyond the originating channel (`ResponseTarget`, active channel, specific linked channel, `all_linked`),
- push or payload codecs (`ChannelPush`, `ChannelPushCodec`),
- background/continuation delivery,
- durable task runners (`DurableTaskRunner`, `InProcessTaskRunner`),
- retry/replay policy (`RetryPolicy`),
- fan-out, multicast, or all-linked delivery,
- confidentiality tiers and `LinkPolicy`, and
- a host-level multi-agent router.
These areas are follow-up enhancements covered by [ADR-0028](0028-hosting-linking-multicast-enhancements.md). They are not prerequisites for shipping or using the v1 host.
## Consequences
Positive:
- The host/channel model can be implemented and tested without designing a security-sensitive identity graph.
- Existing and new channel packages can share one Starlette app, middleware stack, lifecycle, and target invocation path.
- Session continuity is explicit and debuggable: two channels share history only when they produce the same `isolation_key`.
- Hook invocation is centralized in the host, so channels do not each invent the call convention.
Negative:
- Apps that need OAuth linking, allowlists, proactive messages, or multicast must continue to implement those behaviors outside the v1 host.
- Some richer cross-channel scenarios from the original design move to a separate decision and validation cycle.
- The host must document `isolation_key` trust clearly because it now provides the shared session boundary.
## Validation Gates
Before this ADR is accepted:
- A sample can expose one target on multiple channels with one `AgentFrameworkHost` and no handwritten Starlette route composition.
- Built-in channel tests prove that routes, commands, startup, and shutdown callbacks are contributed by channels and aggregated by the host.
- Session tests prove that identical `ChannelSession.isolation_key` values resolve to the same cached `AgentSession`, and `reset_session` rotates that mapping.
- Channel tests prove that each channel renders only its own originating response; there is no host-level push, multicast, or active-channel delivery path.
- Workflow tests or samples use an explicit `checkpoint_location`.
- Foundry isolation middleware is documented and covered by integration or contract tests, including the non-Foundry case where raw isolation headers are ignored.
- The v1 API and packages do not expose the removed symbols or packages listed in [Non-goals for v1](#non-goals-for-v1).
- The Python spec is updated to match this simplified contract and uses "public", "stable", or "released" terminology for Agent Framework APIs.
## More Information
- Follow-up linking and multicast ADR: [ADR-0028](0028-hosting-linking-multicast-enhancements.md)
@@ -0,0 +1,132 @@
---
status: proposed
contact: eavanvalkenburg
date: 2026-06-11
deciders: eavanvalkenburg
---
# Hosting linking and multicast enhancements
## Context and Problem Statement
[ADR-0027](0027-hosting-channels.md) defines the minimal v1 hosting core: originating-channel responses, explicit `ChannelSession.isolation_key`, and no host-level identity linking, push, multicast, background delivery, or durable runners.
This ADR tracks the richer cross-channel behaviors that were removed from v1. These enhancements are **follow-up work** and are **not prerequisites** for shipping, using, or stabilizing the v1 host/channel core.
## Decision Drivers
- Cross-channel continuity must not create accidental cross-user, cross-tenant, or cross-channel data leaks.
- Non-originating delivery must be observable, idempotent, retryable, and supportable.
- Protocol payloads must remain channel-native while still being safe to persist and replay.
- App authors need opt-in policy controls, not hidden defaults.
- The enhancement stack should layer on top of the v1 host without reshaping the minimal channel contract.
## Enhancement Areas
The follow-up design should cover these capabilities together because they share identity, storage, delivery, and replay concerns:
- **Cross-channel identity linking** — a user can connect multiple `ChannelIdentity` values to one channel-neutral `isolation_key`.
- **Authorization and allowlist policy** — channels or hosts can require verified identity, allow specific native identities or claims, and deny unknown callers.
- **Non-originating response delivery** — a run can respond somewhere other than the request's originating protocol when explicitly configured.
- **Active-channel routing** — delivery can target the most recently observed linked channel for an `isolation_key`.
- **Multicast / all-linked delivery** — delivery can fan out to every linked channel or a selected set.
- **Background runs and continuation tokens** — long-running requests can return immediately and complete later, with a polling/status fallback.
- **Durable delivery runners** — delivery work can survive process restarts and support dead-letter handling.
- **Retry and replay semantics** — delivery attempts are bounded, deduplicated, and safe to replay.
- **Payload serialization** — channel-specific payloads can be persisted, redacted, versioned, and reconstructed without losing protocol fidelity.
Candidate API names from the broader design (`IdentityLinker`, `IdentityAllowlist`, `AuthPolicy`, `ResponseTarget`, `ChannelPush`, `ChannelPushCodec`, `DurableTaskRunner`, `InProcessTaskRunner`, `RetryPolicy`, `LinkPolicy`) remain design vocabulary for this ADR. They are not approved v1 APIs.
## Considered Options
### Option A — Leave all behavior to applications
Applications implement linking, authorization, push, retry, and serialization independently.
- Good: the hosting core stays very small.
- Neutral: advanced apps can still build what they need.
- Bad: every app must solve the same security and delivery problems, likely inconsistently.
### Option B — Add the full enhancement stack to v1
The first host release includes linking, authorization, active channel, multicast, background runs, durable runners, and codecs.
- Good: the original cross-channel experience is available immediately.
- Neutral: samples can demonstrate rich end-to-end flows.
- Bad: v1 becomes security-sensitive, storage-heavy, and harder to stabilize.
### Option C — Layer opt-in enhancement packages after v1
Ship the minimal host first, then add linking, authorization, and delivery packages behind explicit configuration.
- Good: v1 remains simple while leaving room for a reviewed, supportable enhancement stack.
- Neutral: apps that need advanced delivery wait for follow-up packages.
- Bad: the first release does not satisfy proactive or all-linked scenarios.
### Option D — Build only platform-specific integrations
Implement linking and proactive delivery separately in Telegram, Activity Protocol, Discord, and future channels.
- Good: each package can match its protocol exactly.
- Neutral: some shared abstractions may emerge later.
- Bad: cross-channel behavior becomes fragmented and hard to reason about.
## Decision Outcome
Proposed direction: **Option C — layered opt-in enhancement packages after v1**.
The minimal host remains the foundation. Follow-up packages may add linking, authorization, delivery, and durable execution, but must be explicitly enabled and must pass the validation gates below before becoming part of the public contract.
## Safety Requirements
### Threat model
The design must account for:
- spoofed channel-native identities,
- stolen or replayed link challenges,
- cross-tenant or cross-confidentiality data leakage,
- unsolicited proactive messages,
- malicious payloads persisted for replay,
- denial-of-service through fan-out or retry storms, and
- privacy leakage through logs, metrics, or support tooling.
Required mitigations include verified identity claims where available, signed and expiring link challenges, explicit user consent, per-channel capability checks, default-deny policy options, tenant partitioning, and uninformative denial messages on shared channels.
### Idempotency and replay
Exactly-once delivery is not a realistic guarantee. The design must provide:
- stable run, continuation, and delivery-attempt identifiers,
- channel-level idempotency keys where protocols support them,
- bounded retry with jitter and explicit terminal states,
- replay windows and expiration,
- duplicate suppression for persisted attempts, and
- clear semantics for "delivered", "accepted by platform", and "observed by user".
### Storage
Enhancement storage must stay distinct from v1 `AgentSession` history and workflow checkpoints unless an implementation deliberately backs them with the same physical store.
Stored data should be schema-versioned, minimized, encrypted or otherwise protected as appropriate, and partitioned by tenant/project. Link records, continuation records, active-channel state, delivery attempts, dead letters, and serialized payloads need independent TTL and deletion policies.
### Observability and support
The design must include structured logs, traces, and metrics for link attempts, authorization decisions, delivery scheduling, retries, replay, and dead-letter outcomes. Logs must avoid message content and sensitive identity claims by default. Operators need a way to inspect, revoke, replay, or purge stuck records safely.
## Validation Gates
Before these enhancements are accepted:
- A reviewed threat model covers identity linking, authorization, non-originating delivery, multicast, and replay.
- Cross-channel linking tests prove a verified identity can link two channels and that unlink/deny paths do not leak information.
- Authorization tests cover native-id allowlists, verified-claim allowlists, default-deny behavior, and misconfiguration failures.
- Delivery tests cover originating-only, specific-channel, active-channel, selected-channel, and all-linked routing.
- Background/continuation tests cover polling fallback, cancellation or expiration, process restart, retry, and dead-letter behavior.
- Codec tests prove payloads are versioned, redacted where needed, backward compatible, and rejected safely when unknown.
- Multicast tests prove fan-out is bounded, independently retried, and idempotent per destination.
- Observability tests or manual validation prove support operators can correlate a request to delivery attempts without exposing sensitive content.
## Relationship to ADR-0027
ADR-0027 remains valid without any of these enhancements. This ADR extends the hosting model only after the safety, storage, and support requirements above are satisfied.
+320
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@@ -0,0 +1,320 @@
---
status: proposed
contact: eavanvalkenburg
date: 2026-06-11
deciders: eavanvalkenburg
---
# Python hosting core and pluggable channels
## Scope
This specification is the Python implementation plan for [ADR-0027](../decisions/0027-hosting-channels.md). It documents the simplified v1 host/channel contract only.
The v1 contract is:
- `AgentFrameworkHost` owns one Starlette app, one hostable target, and one or more channels.
- A hostable target is either a `SupportsAgentRun`-compatible agent or a `Workflow`.
- Channels contribute routes, middleware, commands, and lifecycle callbacks.
- Channels parse protocol-native input into `ChannelRequest`.
- Channels render their own originating response.
- Session continuity is explicit: a channel supplies `ChannelSession(isolation_key=...)`, and the host resolves/caches an `AgentSession` for that key.
- The host invokes `ChannelRunHook` and `ChannelResponseHook`; channels provide hook configuration and protocol context.
The host does not link identities, route responses to other channels, run background continuations, or multicast in v1. Those enhancements are tracked in [ADR-0028](../decisions/0028-hosting-linking-multicast-enhancements.md).
## Goals
- Let an app expose one agent or workflow on multiple protocols without handwritten Starlette composition.
- Keep protocol parsing and response formatting inside channel packages.
- Provide one session-resolution path shared by all channels.
- Keep the channel authoring surface small enough for new channels to implement.
- Preserve full-fidelity agent and workflow results until a channel decides how to render them.
## Non-goals for v1
The following are removed from the v1 implementation pass:
- `IdentityLinker`, `IdentityAllowlist`, `AuthPolicy`, and `LinkPolicy`
- `ResponseTarget`, active-channel routing, `all_linked`, fan-out, and multicast
- `ChannelPush` and `ChannelPushCodec`
- `DurableTaskRunner`, `InProcessTaskRunner`, and `RetryPolicy`
- continuation tokens and background delivery
- confidentiality tiers
- `agent-framework-hosting-entra`
- `local_identity_link`
These are follow-up design topics, not hidden requirements of the v1 host.
## Packages
| Package | Import surface | Contents |
|---|---|---|
| `agent-framework-hosting` | `agent_framework_hosting` | `AgentFrameworkHost`, channel protocols, key request/result types, hooks, `reset_session`, state-path helpers. |
| `agent-framework-hosting-responses` | `agent_framework_hosting_responses` | `ResponsesChannel`. |
| `agent-framework-hosting-invocations` | `agent_framework_hosting_invocations` | `InvocationsChannel`. |
| `agent-framework-hosting-telegram` | `agent_framework_hosting_telegram` | `TelegramChannel` and Telegram command helpers. |
| `agent-framework-hosting-activity-protocol` | `agent_framework_hosting_activity_protocol` | `ActivityProtocolChannel` for Activity Protocol over Azure Bot Service. |
| `agent-framework-hosting-discord` | `agent_framework_hosting_discord` | `DiscordChannel` and Discord command/interaction helpers. |
| `agent-framework-foundry-hosting` | `agent_framework.foundry_hosting` | Foundry isolation middleware and Foundry-backed hosting helpers usable with the v1 host. |
Channel packages may depend on their native SDKs. The core hosting package should not depend on channel SDKs or on top-level legacy protocol hosts.
## Key Types
### `AgentFrameworkHost`
The host constructor accepts:
- `target`: one `SupportsAgentRun`-compatible object or one `Workflow`
- `channels`: one or more `Channel` instances
- optional Starlette middleware
- optional `state_dir`
- optional workflow `checkpoint_location`
The host exposes:
- `app`: the canonical Starlette ASGI application
- `serve(...)`: a convenience wrapper for local serving
- `reset_session(isolation_key: str)`: rotate the cached `AgentSession` for a host-tracked conversation
`state_dir` is narrowed to v1 host-owned local files only:
- session aliases (`isolation_key` to current `AgentSession` id), and
- workflow checkpoint paths when the app chooses the host-provided file layout.
It is not a store for identity links, continuations, active-channel state, delivery attempts, or multicast payloads.
Externally supplied isolation keys are trusted only after the channel or host middleware has authenticated and authorized the caller. The host uses `isolation_key` as a partition key; the string itself is not proof of identity or ownership.
### `Channel`
A channel implements a small protocol:
- declare a stable channel id/name,
- contribute routes, middleware, commands, and lifecycle callbacks,
- parse inbound protocol data into `ChannelRequest`,
- call the host through `ChannelContext.run(...)` or `ChannelContext.run_stream(...)`, and
- serialize the returned result to the originating protocol response.
Channels own protocol authentication, signature validation, native command registration, and protocol-specific error bodies.
### `ChannelContribution`
`ChannelContribution` is the channel's host-facing contribution:
- Starlette routes and optional middleware,
- native command descriptors,
- startup and shutdown callbacks, and
- any channel-local metadata needed by the package.
The host aggregates contributions but does not interpret protocol payloads.
### `ChannelRequest`
`ChannelRequest` is the host-neutral request envelope produced by a channel. It carries:
- target input,
- optional `ChannelSession`,
- optional `ChannelIdentity`,
- options and attributes produced by the channel, and
- request metadata useful to hooks and context providers.
The host may pass attributes through to context providers and middleware. Channels should treat attributes as a documented extension bag, not as a cross-channel delivery contract.
### `ChannelSession`
`ChannelSession(isolation_key=...)` is the only v1 session-continuity mechanism.
When a request contains an isolation key:
1. The host looks up or creates the cached `AgentSession` for that key.
2. The target runs with that `AgentSession` when the target is an agent.
3. `reset_session(isolation_key)` rotates the alias so the next request starts a new conversation.
If two channels produce the same isolation key on the same host, they share the same cached session. If they produce different keys, they do not share session state.
### `ChannelIdentity`
`ChannelIdentity` is optional request metadata such as channel id, native user id, tenant id, claims, or display attributes.
In v1, `ChannelIdentity` does not link channels, authorize callers, select delivery destinations, or imply that two identities should share an `AgentSession`. A channel that wants shared history must still produce the same `ChannelSession.isolation_key`.
### Hooks
Hooks are optional and channel-owned:
- `ChannelRunHook`: runs after channel parsing and before host invocation; returns the `ChannelRequest` to execute.
- `ChannelResponseHook`: runs after target completion and before the originating channel renders a one-shot response.
- `ChannelStreamUpdateHook`: the host applies it to streamed updates before the originating channel serializes the stream.
Common uses include adapting chat text into workflow inputs, enforcing deployment-specific options, flattening rich output for text-only protocols, or filtering streamed updates for a protocol. Stream update hooks are update-only; they do not automatically sanitize `get_final_response()` output. Channels choose their response transport from the parsed protocol request before invoking run hooks.
### `HostedRunResult`
`HostedRunResult[T]` wraps the target's full-fidelity result plus the resolved `AgentSession | None`.
- Agent targets produce `HostedRunResult[AgentResponse]`.
- Workflow targets produce `HostedRunResult[WorkflowRunResult]`.
The host does not flatten, filter, or translate the result. Each channel decides how much of the result its protocol can carry.
## Host Behavior
1. `AgentFrameworkHost` builds one Starlette app and asks each channel for its contribution.
2. A channel route receives a protocol-native request.
3. The channel validates/parses the native payload and creates `ChannelRequest`.
4. The channel passes the request, optional `ChannelRunHook`, and protocol-native context to the host.
5. The host invokes `ChannelRunHook`, if configured, and receives the prepared request.
6. The host resolves an `AgentSession` from `ChannelSession.isolation_key` when present.
7. The host invokes the agent or workflow target.
8. The host wraps the result in `HostedRunResult` or the streaming equivalent.
9. The host invokes `ChannelResponseHook`, if configured, for non-streaming/final response shaping.
10. The host applies stream update hooks while the channel consumes streams; the channel renders the originating protocol response.
There is no host-level route from one channel's request to another channel's response in v1.
## Workflow Checkpoints
Workflow checkpointing is explicit. Apps either configure checkpoint storage on the workflow itself or pass a `checkpoint_location` to the host so the workflow dispatch path can use the intended file location.
`state_dir` may provide a conventional location for workflow checkpoint files, but checkpointing is still opt-in and separate from agent session history. Checkpoints are workflow-runtime state, not channel state and not identity-link state.
## Foundry Isolation Middleware
V1 keeps Foundry isolation as middleware rather than as a channel-linking feature.
The middleware is installed only when the Foundry hosting environment flag is present. In that environment it reads Foundry-provided isolation values at the trusted hosting boundary, exposes them as read-only request context for Foundry-aware history or memory providers, and rejects unsafe session resumes when the live isolation context does not match persisted session context. Outside Foundry, raw isolation headers are ignored unless an app supplies its own trusted middleware.
This middleware does not create cross-channel identity links and does not authorize non-Foundry channels.
## Current Channels
### Responses
`ResponsesChannel` exposes the OpenAI-compatible Responses API shape. It maps request body fields such as input, options, and conversation identifiers into `ChannelRequest`, and it renders Responses-compatible one-shot or streaming responses.
Responses session continuity uses a channel-selected `isolation_key`, commonly derived from a response/conversation id, caller-provided session id, Foundry isolation context, or deployment-specific request metadata.
### Invocations
`InvocationsChannel` exposes an invocation endpoint for server-side callers and tools. It maps the request body into `ChannelRequest` and renders the invocation result on the same HTTP response.
Invocations is useful for typed workflow inputs because a `ChannelRunHook` can translate the request body into the workflow's expected input type.
### Telegram
`TelegramChannel` supports webhook or polling transport, native command registration, and message rendering back to the originating Telegram chat.
The channel chooses a default `isolation_key` from Telegram-native data such as chat id, user id, or a configured user/chat scope. A `/new` or equivalent command may call `reset_session` for that isolation key.
### Activity Protocol
`ActivityChannel` supports Activity Protocol requests, typically through Azure Bot Service for Teams, Web Chat, and other Bot Framework-fronted surfaces.
The channel maps incoming `Activity` objects to `ChannelRequest` and renders a reply activity to the originating conversation. Proactive Activity delivery, active-channel routing, and all-linked fan-out are not v1 host semantics.
### Discord
`DiscordChannel` supports Discord messages, slash commands, and interactions as channel-native input.
The channel maps Discord-native user, guild, channel, thread, and interaction data into `ChannelRequest` metadata and a configured `ChannelSession.isolation_key`. It renders the result to the originating Discord response path.
## High-level Samples
### One agent on Responses
```python
host = AgentFrameworkHost(
target=agent,
channels=[ResponsesChannel()],
)
app = host.app
```
### One agent on multiple channels
```python
host = AgentFrameworkHost(
target=agent,
channels=[
ResponsesChannel(),
InvocationsChannel(),
TelegramChannel(bot_token=os.environ["TELEGRAM_BOT_TOKEN"]),
],
)
host.serve(host="localhost", port=8000)
```
The host owns one Starlette app. Each channel contributes its own routes and renders its own response.
### Adapting a request before execution
```python
from dataclasses import replace
def enforce_options(request: ChannelRequest) -> ChannelRequest:
options = dict(request.options or {})
options["temperature"] = 0
return replace(request, options=options)
host = AgentFrameworkHost(
target=agent,
channels=[ResponsesChannel(run_hook=enforce_options)],
)
```
### Workflow with explicit checkpoints
```python
host = AgentFrameworkHost(
target=workflow,
channels=[InvocationsChannel(run_hook=adapt_to_workflow_input)],
checkpoint_location=Path("./.af-hosting/workflow_checkpoints"),
)
```
The hook adapts channel-native input to the workflow's typed input. Checkpoints use the explicit workflow checkpoint location, not identity-link or delivery storage.
### Message channel reset command
```python
async def new_chat(context):
if context.request.session is not None:
await context.host.reset_session(context.request.session.isolation_key)
await context.reply("Started a new conversation.")
```
Telegram, Activity Protocol, and Discord can expose equivalent native commands when their protocols support them.
## Follow-up Enhancements
See [ADR-0028](../decisions/0028-hosting-linking-multicast-enhancements.md) for the deferred design covering:
- cross-channel identity linking,
- authorization and allowlists,
- non-originating response delivery,
- active-channel routing,
- multicast and all-linked delivery,
- background runs and continuation tokens,
- durable delivery runners,
- retry/replay semantics, and
- payload serialization.
Those enhancements must layer on top of this v1 contract without requiring v1 users to adopt them.
## Validation Gates
The Python implementation should be considered complete when:
- a sample uses one `AgentFrameworkHost` with multiple channels and no manual Starlette route composition,
- each current channel has contract tests for route contribution, lifecycle, request parsing, hooks, and originating response rendering,
- session tests prove shared `isolation_key` values share an `AgentSession` and `reset_session` rotates it,
- workflow tests or samples use explicit `checkpoint_location`,
- Foundry isolation middleware is covered by integration or contract tests,
- no v1 package exposes the removed linking, multicast, durable-runner, or continuation APIs, and
- this spec and ADR-0027 remain aligned.
+1
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@@ -0,0 +1 @@
../../../.github/skills/pull-requests
+8 -6
View File
@@ -1,4 +1,4 @@
---
---
name: verify-samples-tool
description: How to use the verify-samples tool to run, verify, and manage sample definitions in the Agent Framework repository. Use this when adding, updating, or running sample verification.
---
@@ -157,7 +157,7 @@ new SampleDefinition
new SampleDefinition
{
Name = "Agent_With_AzureOpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -173,11 +173,11 @@ new SampleDefinition
```csharp
new SampleDefinition
{
Name = "Workflow_Declarative_GenerateCode",
ProjectPath = "samples/03-workflows/Declarative/GenerateCode",
Name = "Workflow_Visualization",
ProjectPath = "samples/03-workflows/Visualization",
IsDeterministic = true,
MustContain = ["WORKFLOW: Parsing", "WORKFLOW: Defined"],
ExpectedOutputDescription = ["The output should show a YAML workflow being parsed and C# code being generated from it."],
MustContain = ["Generating workflow visualization...", "Mermaid string:", "DiGraph string:"],
ExpectedOutputDescription = ["The output should show workflow visualization in Mermaid and DiGraph formats."],
},
```
@@ -223,3 +223,5 @@ new SampleDefinition
SkipReason = "Runs as an MCP stdio server that does not exit on its own.",
},
```
+4
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@@ -10,6 +10,10 @@ See `./.github/skills/build-and-test/SKILL.md` for detailed instructions on buil
See `./.github/skills/project-structure/SKILL.md` for an overview of the project structure.
## Pull Requests
See `./.github/skills/pull-requests/SKILL.md` for guidance on writing PR descriptions and handling/resolving PR review comments.
### Core types
- `AIAgent`: The abstract base class that all agents derive from, providing common methods for interacting with an agent.
+27 -21
View File
@@ -12,7 +12,7 @@
<ItemGroup>
<!-- Aspire.* -->
<PackageVersion Include="Anthropic" Version="12.20.0" />
<PackageVersion Include="Anthropic.Foundry" Version="0.5.0" />
<PackageVersion Include="Anthropic.Foundry" Version="0.6.0" />
<PackageVersion Include="Aspire.Hosting" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="Aspire.Azure.AI.OpenAI" Version="13.0.0-preview.1.25560.3" />
<PackageVersion Include="Aspire.Azure.AI.Inference" Version="13.1.0-preview.1.25616.3" />
@@ -21,15 +21,16 @@
<PackageVersion Include="Aspire.Hosting.Azure.CognitiveServices" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0" />
<PackageVersion Include="MessagePack" Version="3.1.7" /> <!-- Transitive dependency of Aspire pinned to newer version due to vulnerability in 2.5.192 -->
<!-- Azure.* -->
<PackageVersion Include="Azure.AI.AgentServer.Core" Version="1.0.0-beta.23" />
<PackageVersion Include="Azure.AI.AgentServer.Invocations" Version="1.0.0-beta.3" />
<PackageVersion Include="Azure.AI.AgentServer.Responses" Version="1.0.0-beta.4" />
<PackageVersion Include="Azure.AI.AgentServer.Core" Version="1.0.0-beta.25" />
<PackageVersion Include="Azure.AI.AgentServer.Invocations" Version="1.0.0-beta.4" />
<PackageVersion Include="Azure.AI.AgentServer.Responses" Version="1.0.0-beta.5" />
<PackageVersion Include="Azure.Search.Documents" Version="12.0.0" />
<PackageVersion Include="Azure.AI.Projects" Version="2.1.0-beta.2" />
<PackageVersion Include="Azure.AI.Projects" Version="2.1.0-beta.3" />
<PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.10" />
<PackageVersion Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageVersion Include="Azure.Core" Version="1.55.0" />
<PackageVersion Include="Azure.Core" Version="1.57.0" />
<PackageVersion Include="Azure.Identity" Version="1.21.0" />
<PackageVersion Include="DotNetEnv" Version="3.1.1" />
<PackageVersion Include="Azure.Monitor.OpenTelemetry.Exporter" Version="1.5.0" />
@@ -41,19 +42,19 @@
<!-- Newtonsoft.Json -->
<PackageVersion Include="Newtonsoft.Json" Version="13.0.4" />
<!-- System.* -->
<PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.6" />
<PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.8" />
<PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
<PackageVersion Include="Microsoft.Bcl.Memory" Version="10.0.5" />
<PackageVersion Include="System.ClientModel" Version="1.11.0" />
<PackageVersion Include="System.ClientModel" Version="1.13.0" />
<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" />
<PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.6" />
<PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.8" />
<PackageVersion Include="System.Linq.AsyncEnumerable" Version="10.0.5" />
<PackageVersion Include="System.Net.Http.Json" Version="10.0.0" />
<PackageVersion Include="System.Net.ServerSentEvents" Version="10.0.5" />
<PackageVersion Include="System.Text.Json" Version="10.0.6" />
<PackageVersion Include="System.Threading.Channels" Version="10.0.6" />
<PackageVersion Include="System.Text.Json" Version="10.0.8" />
<PackageVersion Include="System.Threading.Channels" Version="10.0.8" />
<PackageVersion Include="System.Threading.Tasks.Extensions" Version="4.6.3" />
<PackageVersion Include="System.Net.Security" Version="4.3.2" />
<!-- OpenTelemetry -->
@@ -72,12 +73,12 @@
<PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="10.0.0" />
<PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="10.0.0" />
<!-- Microsoft.Extensions.* -->
<PackageVersion Include="Microsoft.Extensions.AI" Version="10.5.1" />
<PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.5.1" />
<PackageVersion Include="Microsoft.Extensions.AI.Evaluation" Version="10.4.0" />
<PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="10.4.0" />
<PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="10.3.0-preview.1.26109.11" />
<PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.5.1" />
<PackageVersion Include="Microsoft.Extensions.AI" Version="10.6.0" />
<PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.6.0" />
<PackageVersion Include="Microsoft.Extensions.AI.Evaluation" Version="10.6.0" />
<PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="10.6.0" />
<PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="10.6.0" />
<PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.6.0" />
<PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Compliance.Abstractions" Version="10.5.0" />
<PackageVersion Include="Microsoft.Extensions.Configuration" Version="10.0.1" />
@@ -86,12 +87,12 @@
<PackageVersion Include="Microsoft.Extensions.Configuration.Json" Version="10.0.1" />
<PackageVersion Include="Microsoft.Extensions.Configuration.UserSecrets" Version="10.0.1" />
<PackageVersion Include="Microsoft.Extensions.DependencyInjection" Version="10.0.1" />
<PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.6" />
<PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.8" />
<PackageVersion Include="Microsoft.Extensions.FileSystemGlobbing" Version="10.0.6" />
<PackageVersion Include="Microsoft.Extensions.Hosting" Version="10.0.1" />
<PackageVersion Include="Microsoft.Extensions.Http.Resilience" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Logging" Version="10.0.1" />
<PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.6" />
<PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.8" />
<PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="10.0.1" />
<PackageVersion Include="Microsoft.Extensions.ServiceDiscovery" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.7.0" />
@@ -99,7 +100,7 @@
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.67.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.67.0-preview" />
<!-- Agent SDKs -->
<PackageVersion Include="GitHub.Copilot.SDK" Version="1.0.0-beta.2" />
<PackageVersion Include="GitHub.Copilot.SDK" Version="1.0.0" />
<PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.3.171-beta" />
<!-- M365 Agents SDK -->
<PackageVersion Include="AdaptiveCards" Version="3.1.0" />
@@ -109,7 +110,7 @@
<PackageVersion Include="A2A" Version="1.0.0-preview2" />
<PackageVersion Include="A2A.AspNetCore" Version="1.0.0-preview2" />
<!-- MCP -->
<PackageVersion Include="ModelContextProtocol" Version="1.1.0" />
<PackageVersion Include="ModelContextProtocol" Version="1.2.0" />
<!-- Hyperlight -->
<PackageVersion Include="Hyperlight.HyperlightSandbox.Api" Version="0.4.0" />
<PackageVersion Include="Hyperlight.HyperlightSandbox.Guest.Python" Version="0.4.0" />
@@ -138,10 +139,15 @@
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" Version="2.1.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Mcp" Version="1.0.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Sdk" Version="2.0.7" />
<!-- Valkey -->
<!-- Redis -->
<PackageVersion Include="StackExchange.Redis" Version="2.10.1" />
<!-- Valkey -->
<PackageVersion Include="Valkey.Glide" Version="1.1.0" />
<!-- Console UX -->
<PackageVersion Include="Spectre.Console" Version="0.49.1" />
<!-- AWS -->
<PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.6.10" />
<!-- Test -->
<PackageVersion Include="FluentAssertions" Version="8.8.0" />
<PackageVersion Include="Microsoft.AspNetCore.TestHost" Condition="'$(TargetFramework)' == 'net8.0'" Version="8.0.22" />
+85 -65
View File
@@ -1,4 +1,4 @@
<Solution>
<Solution>
<Configurations>
<BuildType Name="Debug" />
<BuildType Name="Publish" />
@@ -22,20 +22,19 @@
</Folder>
<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_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
<Project Path="samples/02-agents/AgentProviders/a2a/Agent_With_A2A/Agent_With_A2A.csproj" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_With_Anthropic/Agent_With_Anthropic.csproj" />
<Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj" />
<Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj" />
<Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
<Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
<Project Path="samples/02-agents/AgentProviders/custom/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
<Project Path="samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
<Project Path="samples/02-agents/AgentProviders/google-gemini/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
<Project Path="samples/02-agents/AgentProviders/ollama/Agent_With_Ollama/Agent_With_Ollama.csproj" />
<Project Path="samples/02-agents/AgentProviders/onnx/Agent_With_ONNX/Agent_With_ONNX.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_With_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
</Folder>
<Folder Name="/Samples/05-end-to-end/DevUIAspireIntegration/">
<Project Path="samples/05-end-to-end/DevUIAspireIntegration/DevUIIntegration.AppHost/DevUIIntegration.AppHost.csproj" />
@@ -117,17 +116,19 @@
<Project Path="samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Agent_Step03_ClassBasedSkills.csproj" />
<Project Path="samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Agent_Step04_MixedSkills.csproj" />
<Project Path="samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Agent_Step05_SkillsWithDI.csproj" />
<Project Path="samples/02-agents/AgentSkills/Agent_Step06_McpBasedSkills/Agent_Step06_McpBasedSkills.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/Harness/">
<File Path="samples/02-agents/Harness/README.md" />
<Project Path="samples/02-agents/Harness/ConsoleReactiveComponents/ConsoleReactiveComponents.csproj" />
<Project Path="samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveFramework.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Shared_Console/Harness_Shared_Console.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Shared_Console_OpenAI/Harness_Shared_Console_OpenAI.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Step01_Research/Harness_Step01_Research.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Step02_Research_WithBackgroundAgents/Harness_Step02_Research_WithBackgroundAgents.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Step03_DataProcessing/Harness_Step03_DataProcessing.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Step04_CodeExecution/Harness_Step04_CodeExecution.csproj" />
<Project Path="samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveFramework.csproj" />
<Project Path="samples/02-agents/Harness/ConsoleReactiveComponents/ConsoleReactiveComponents.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Step05_Loop/Harness_Step05_Loop.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/AGUI/Step05_StateManagement/">
<Project Path="samples/02-agents/AGUI/Step05_StateManagement/Client/Client.csproj" />
@@ -137,42 +138,43 @@
<File Path="samples/02-agents/DevUI/README.md" />
<Project Path="samples/02-agents/DevUI/DevUI_Step01_BasicUsage/DevUI_Step01_BasicUsage.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/AgentWithAnthropic/">
<File Path="samples/02-agents/AgentWithAnthropic/README.md" />
<Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj" />
<Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj" />
<Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step04_UsingSkills/Agent_Anthropic_Step04_UsingSkills.csproj" />
<Folder Name="/Samples/02-agents/AgentProviders/anthropic/">
<File Path="samples/02-agents/AgentProviders/anthropic/README.md" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step04_UsingSkills/Agent_Anthropic_Step04_UsingSkills.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/AgentsWithFoundry/">
<File Path="samples/02-agents/AgentsWithFoundry/README.md" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/Agent_Step00_FoundryAgentLifecycle.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/Agent_Step01_Basics.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/Agent_Step02.1_MultiturnConversation.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/Agent_Step02.2_MultiturnWithServerConversations.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/Agent_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/Agent_Step07_Observability.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/Agent_Step08_DependencyInjection.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/Agent_Step09_UsingMcpClientAsTools.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/Agent_Step10_UsingImages.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/Agent_Step11_AsFunctionTool.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/Agent_Step12_Middleware.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/Agent_Step13_Plugins.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/Agent_Step14_CodeInterpreter.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/Agent_Step16_FileSearch.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/Agent_Step17_OpenAPITools.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/Agent_Step18_BingCustomSearch.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/Agent_Step19_SharePoint.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/Agent_Step20_MicrosoftFabric.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/Agent_Step21_WebSearch.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/Agent_Step22_MemorySearch.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/Agent_Step23_LocalMCP.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step24_CodeInterpreterFileDownload/Agent_Step24_CodeInterpreterFileDownload.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step25_FoundryToolboxMcp/Agent_Step25_FoundryToolboxMcp.csproj" />
<Folder Name="/Samples/02-agents/AgentProviders/foundry/">
<File Path="samples/02-agents/AgentProviders/foundry/README.md" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step00_FoundryAgentLifecycle/Agent_Step00_FoundryAgentLifecycle.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step01_Basics/Agent_Step01_Basics.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step02.1_MultiturnConversation/Agent_Step02.1_MultiturnConversation.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step02.2_MultiturnWithServerConversations/Agent_Step02.2_MultiturnWithServerConversations.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step03_UsingFunctionTools/Agent_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step07_Observability/Agent_Step07_Observability.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step08_DependencyInjection/Agent_Step08_DependencyInjection.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step09_UsingMcpClientAsTools/Agent_Step09_UsingMcpClientAsTools.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step10_UsingImages/Agent_Step10_UsingImages.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step11_AsFunctionTool/Agent_Step11_AsFunctionTool.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step12_Middleware/Agent_Step12_Middleware.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step13_Plugins/Agent_Step13_Plugins.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step14_CodeInterpreter/Agent_Step14_CodeInterpreter.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step16_FileSearch/Agent_Step16_FileSearch.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step17_OpenAPITools/Agent_Step17_OpenAPITools.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step18_BingCustomSearch/Agent_Step18_BingCustomSearch.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step19_SharePoint/Agent_Step19_SharePoint.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step20_MicrosoftFabric/Agent_Step20_MicrosoftFabric.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step21_WebSearch/Agent_Step21_WebSearch.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step22_MemorySearch/Agent_Step22_MemorySearch.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step23_LocalMCP/Agent_Step23_LocalMCP.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step24_CodeInterpreterFileDownload/Agent_Step24_CodeInterpreterFileDownload.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step25_FoundryToolboxMcp/Agent_Step25_FoundryToolboxMcp.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step26_FoundryToolboxMcpSkills/Agent_Step26_FoundryToolboxMcpSkills.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/Evaluation/">
<Project Path="samples/02-agents/Evaluation/Evaluation_CustomEvals/Evaluation_CustomEvals.csproj" />
@@ -192,15 +194,17 @@
<Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/AgentWithMemory_Step02_MemoryUsingMem0.csproj" />
<Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/AgentWithMemory_Step04_MemoryUsingFoundry.csproj" />
<Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/AgentWithMemory_Step05_BoundedChatHistory.csproj" />
<Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey/AgentWithMemory_Step03_MemoryUsingValkey.csproj" />
<Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/AgentWithOpenAI/">
<File Path="samples/02-agents/AgentWithOpenAI/README.md" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Agent_OpenAI_Step01_Running.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Agent_OpenAI_Step03_CreateFromChatClient.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step06_CodeInterpreterFileDownload/Agent_OpenAI_Step06_CodeInterpreterFileDownload.csproj" />
<Folder Name="/Samples/02-agents/AgentProviders/openai/">
<File Path="samples/02-agents/AgentProviders/openai/README.md" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step01_Running/Agent_OpenAI_Step01_Running.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step03_CreateFromChatClient/Agent_OpenAI_Step03_CreateFromChatClient.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step06_CodeInterpreterFileDownload/Agent_OpenAI_Step06_CodeInterpreterFileDownload.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/AgentWithRAG/">
<File Path="samples/02-agents/AgentWithRAG/README.md" />
@@ -241,11 +245,10 @@
<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/InvokeFoundryToolboxMcp/InvokeFoundryToolboxMcp.csproj" />
<Project Path="samples/03-workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.csproj" />
<Project Path="samples/03-workflows/Declarative/InvokeHttpRequest/InvokeHttpRequest.csproj" />
<Project Path="samples/03-workflows/Declarative/InvokeMcpTool/InvokeMcpTool.csproj" />
<Project Path="samples/03-workflows/Declarative/Marketing/Marketing.csproj" />
@@ -328,6 +331,9 @@
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/HostedLocalTools.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalCodeAct/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalCodeAct/HostedLocalCodeAct.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/HostedMcpTools.csproj" />
</Folder>
@@ -343,6 +349,12 @@
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/HostedToolbox.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox-AuthPaths/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox-AuthPaths/Hosted-Toolbox-AuthPaths.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/HostedToolboxMcpSkills.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/HostedAzureSearchRag.csproj" />
</Folder>
@@ -399,6 +411,7 @@
<Folder Name="/Samples/05-end-to-end/Evaluation/">
<Project Path="samples/05-end-to-end/Evaluation/Evaluation_ConversationSplits/Evaluation_ConversationSplits.csproj" />
<Project Path="samples/05-end-to-end/Evaluation/Evaluation_FoundryQuality/Evaluation_FoundryQuality.csproj" />
<Project Path="samples/05-end-to-end/Evaluation/Evaluation_FoundryRubric/Evaluation_FoundryRubric.csproj" />
<Project Path="samples/05-end-to-end/Evaluation/Evaluation_MixedProviders/Evaluation_MixedProviders.csproj" />
</Folder>
<Folder Name="/Samples/05-end-to-end/A2AClientServer/">
@@ -597,15 +610,17 @@
<Project Path="src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj" />
<Project Path="src/Microsoft.Agents.AI.Foundry.Hosting/Microsoft.Agents.AI.Foundry.Hosting.csproj" />
<Project Path="src/Microsoft.Agents.AI.Foundry/Microsoft.Agents.AI.Foundry.csproj" />
<Project Path="src/Microsoft.Agents.AI.Harness/Microsoft.Agents.AI.Harness.csproj" />
<Project Path="src/Microsoft.Agents.AI.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.csproj" />
<Project Path="src/Microsoft.Agents.AI.Harness/Microsoft.Agents.AI.Harness.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" />
<Project Path="src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.OpenAI/Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.AspNetCore/Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting/Microsoft.Agents.AI.Hosting.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hyperlight/Microsoft.Agents.AI.Hyperlight.csproj" />
<Project Path="src/Microsoft.Agents.AI.LocalCodeAct/Microsoft.Agents.AI.LocalCodeAct.csproj" />
<Project Path="src/Microsoft.Agents.AI.Mcp/Microsoft.Agents.AI.Mcp.csproj" />
<Project Path="src/Microsoft.Agents.AI.Mem0/Microsoft.Agents.AI.Mem0.csproj" />
<Project Path="src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj" />
@@ -617,6 +632,7 @@
<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" />
<Project Path="src/Microsoft.Agents.AI/Microsoft.Agents.AI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Valkey/Microsoft.Agents.AI.Valkey.csproj" />
</Folder>
<Folder Name="/Tests/" />
<Folder Name="/Tests/IntegrationTests/">
@@ -624,8 +640,8 @@
<Project Path="tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletion.IntegrationTests.csproj" />
<Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" />
<Project Path="tests/CopilotStudio.IntegrationTests/CopilotStudio.IntegrationTests.csproj" />
<Project Path="tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj" />
<Project Path="tests/Foundry.Hosting.IntegrationTests.TestContainer/Foundry.Hosting.IntegrationTests.TestContainer.csproj" />
<Project Path="tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj" />
<Project Path="tests/Foundry.IntegrationTests/Foundry.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests.csproj" />
@@ -650,8 +666,8 @@
<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.Foundry.UnitTests/Microsoft.Agents.AI.Foundry.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Foundry.Hosting.UnitTests/Microsoft.Agents.AI.Foundry.Hosting.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Foundry.UnitTests/Microsoft.Agents.AI.Foundry.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Harness.UnitTests/Microsoft.Agents.AI.Harness.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.A2A.UnitTests/Microsoft.Agents.AI.Hosting.A2A.UnitTests.csproj" />
@@ -660,6 +676,7 @@
<Project Path="tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.UnitTests/Microsoft.Agents.AI.Hosting.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hyperlight.UnitTests/Microsoft.Agents.AI.Hyperlight.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.LocalCodeAct.UnitTests/Microsoft.Agents.AI.LocalCodeAct.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Mcp.UnitTests/Microsoft.Agents.AI.Mcp.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Mem0.UnitTests/Microsoft.Agents.AI.Mem0.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.OpenAI.UnitTests/Microsoft.Agents.AI.OpenAI.UnitTests.csproj" />
@@ -670,5 +687,8 @@
<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" />
<Project Path="tests/Microsoft.Agents.AI.Valkey.UnitTests/Microsoft.Agents.AI.Valkey.UnitTests.csproj" />
</Folder>
</Solution>
+4 -1
View File
@@ -20,14 +20,17 @@
"src\\Microsoft.Agents.AI.Hosting.A2A.AspNetCore\\Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj",
"src\\Microsoft.Agents.AI.Hosting.A2A\\Microsoft.Agents.AI.Hosting.A2A.csproj",
"src\\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj",
"src\\Microsoft.Agents.AI.Hosting.AzureFunctions\\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj",
"src\\Microsoft.Agents.AI.Hosting.AspNetCore\\Microsoft.Agents.AI.Hosting.AspNetCore.csproj",
"src\\Microsoft.Agents.AI.Hosting.AzureFunctions\\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj",
"src\\Microsoft.Agents.AI.Hosting.OpenAI\\Microsoft.Agents.AI.Hosting.OpenAI.csproj",
"src\\Microsoft.Agents.AI.Hosting\\Microsoft.Agents.AI.Hosting.csproj",
"src\\Microsoft.Agents.AI.Mcp\\Microsoft.Agents.AI.Mcp.csproj",
"src\\Microsoft.Agents.AI.Mem0\\Microsoft.Agents.AI.Mem0.csproj",
"src\\Microsoft.Agents.AI.OpenAI\\Microsoft.Agents.AI.OpenAI.csproj",
"src\\Microsoft.Agents.AI.Purview\\Microsoft.Agents.AI.Purview.csproj",
"src\\Microsoft.Agents.AI.Tools.Shell\\Microsoft.Agents.AI.Tools.Shell.csproj",
"src\\Microsoft.Agents.AI.Workflows.Declarative.Foundry\\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj",
"src\\Microsoft.Agents.AI.Workflows.Declarative.Mcp\\Microsoft.Agents.AI.Workflows.Declarative.Mcp.csproj",
"src\\Microsoft.Agents.AI.Workflows.Declarative\\Microsoft.Agents.AI.Workflows.Declarative.csproj",
"src\\Microsoft.Agents.AI.Workflows.Generators\\Microsoft.Agents.AI.Workflows.Generators.csproj",
"src\\Microsoft.Agents.AI.Workflows\\Microsoft.Agents.AI.Workflows.csproj",
-3
View File
@@ -11,9 +11,6 @@
<ItemGroup Condition="'$(InjectSharedIntegrationTestAzureCredentialsCode)' == 'true'">
<Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\IntegrationTestsAzureCredentials\*.cs" LinkBase="Shared\IntegrationTestsAzureCredentials" />
</ItemGroup>
<ItemGroup Condition="'$(InjectSharedBuildTestCode)' == 'true'">
<Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\CodeTests\*.cs" LinkBase="Shared\CodeTests" />
</ItemGroup>
<ItemGroup Condition="'$(InjectSharedWorkflowsExecution)' == 'true'">
<Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\Workflows\Execution\*.cs" LinkBase="Shared\Workflows" />
</ItemGroup>
+67 -61
View File
@@ -14,7 +14,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_CustomImplementation",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_CustomImplementation",
ProjectPath = "samples/02-agents/AgentProviders/custom/Agent_With_CustomImplementation",
RequiredEnvironmentVariables = [],
ExpectedOutputDescription =
[
@@ -27,7 +27,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_AzureOpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -40,7 +40,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_AzureOpenAIResponses",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIResponses",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -50,23 +50,10 @@ internal static class AgentsSamples
],
},
new SampleDefinition
{
Name = "Agent_With_AzureAIAgentsPersistent",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
[
"The output should contain a joke about a pirate.",
"The output should not contain error messages or stack traces.",
],
},
new SampleDefinition
{
Name = "Agent_With_AzureAIProject",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureAIProject",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureAIProject",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
MustContain = ["Latest agent version id:"],
@@ -80,7 +67,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_AzureFoundryModel",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureFoundryModel",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureFoundryModel",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_API_KEY", "AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -363,6 +350,25 @@ internal static class AgentsSamples
],
},
new SampleDefinition
{
Name = "Agent_Step06_McpBasedSkills",
ProjectPath = "samples/02-agents/AgentSkills/Agent_Step06_McpBasedSkills",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
MustContain =
[
"Discovering MCP-based skills",
"Agent:",
],
ExpectedOutputDescription =
[
"The output should show the agent converting 26.2 miles to kilometers and 75 kilograms to pounds.",
"The response should contain approximate numeric values for both conversions.",
"The output should not contain error messages or stack traces.",
],
},
// ── AgentWithMemory ─────────────────────────────────────────────────
new SampleDefinition
@@ -471,12 +477,12 @@ internal static class AgentsSamples
],
},
// ── AgentsWithFoundry ────────────────────────────────────────────────
// ── Foundry ───────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "FoundryAgent_Step00_FoundryAgentLifecycle",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step00_FoundryAgentLifecycle",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -489,7 +495,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step01_Basics",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step01_Basics",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -502,7 +508,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step02.1_MultiturnConversation",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step02.1_MultiturnConversation",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -516,7 +522,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step02.2_MultiturnWithServerConversations",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step02.2_MultiturnWithServerConversations",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -529,7 +535,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step03_UsingFunctionTools",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step03_UsingFunctionTools",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -544,7 +550,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step04_UsingFunctionToolsWithApprovals",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["Y", "Y", "Y"],
@@ -560,7 +566,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step05_StructuredOutput",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step05_StructuredOutput",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
MustContain = ["Assistant Output:", "Name:"],
@@ -575,7 +581,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step06_PersistedConversations",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step06_PersistedConversations",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -588,7 +594,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step08_DependencyInjection",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step08_DependencyInjection",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["Tell me a joke about a pirate", ""],
@@ -603,7 +609,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step10_UsingImages",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step10_UsingImages",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -617,7 +623,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step11_AsFunctionTool",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step11_AsFunctionTool",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -631,7 +637,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step12_Middleware",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step12_Middleware",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["Y", "Y", "Y"],
@@ -647,7 +653,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step13_Plugins",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step13_Plugins",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -661,7 +667,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step14_CodeInterpreter",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step14_CodeInterpreter",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -676,7 +682,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step16_FileSearch",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step16_FileSearch",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
MustContain = ["--- Running File Search Agent ---"],
@@ -690,7 +696,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step17_OpenAPITools",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step17_OpenAPITools",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -714,7 +720,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_A2A",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_A2A",
ProjectPath = "samples/02-agents/AgentProviders/a2a/Agent_With_A2A",
RequiredEnvironmentVariables = ["A2A_AGENT_HOST"],
SkipReason = "Requires an external A2A agent host.",
},
@@ -722,7 +728,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_Anthropic",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_Anthropic",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_With_Anthropic",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME", "ANTHROPIC_RESOURCE"],
ExpectedOutputDescription =
@@ -735,7 +741,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_GitHubCopilot",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_GitHubCopilot",
ProjectPath = "samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot",
RequiredEnvironmentVariables = [],
// The sample prompts for shell command approval; provide "Y" for each possible permission request
Inputs = ["Y", "Y", "Y"],
@@ -750,7 +756,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_GoogleGemini",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_GoogleGemini",
ProjectPath = "samples/02-agents/AgentProviders/google-gemini/Agent_With_GoogleGemini",
RequiredEnvironmentVariables = ["GOOGLE_GENAI_API_KEY"],
OptionalEnvironmentVariables = ["GOOGLE_GENAI_MODEL"],
MustContain =
@@ -768,7 +774,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_ONNX",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_ONNX",
ProjectPath = "samples/02-agents/AgentProviders/onnx/Agent_With_ONNX",
RequiredEnvironmentVariables = ["ONNX_MODEL_PATH"],
SkipReason = "Requires local ONNX model.",
},
@@ -776,7 +782,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_Ollama",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_Ollama",
ProjectPath = "samples/02-agents/AgentProviders/ollama/Agent_With_Ollama",
RequiredEnvironmentVariables = ["OLLAMA_ENDPOINT", "OLLAMA_MODEL_NAME"],
SkipReason = "Requires local Ollama server.",
},
@@ -784,7 +790,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_OpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_With_OpenAIChatCompletion",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -797,7 +803,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_OpenAIResponses",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_OpenAIResponses",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_With_OpenAIResponses",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -837,7 +843,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_Anthropic_Step01_Running",
ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step01_Running",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step01_Running",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -851,7 +857,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_Anthropic_Step02_Reasoning",
ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step02_Reasoning",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step02_Reasoning",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
MustContain =
@@ -874,7 +880,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_Anthropic_Step03_UsingFunctionTools",
ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step03_UsingFunctionTools",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step03_UsingFunctionTools",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -888,7 +894,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_Anthropic_Step04_UsingSkills",
ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step04_UsingSkills",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step04_UsingSkills",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
MustContain =
@@ -915,7 +921,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step01_Running",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step01_Running",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -928,7 +934,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step02_Reasoning",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step02_Reasoning",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
MustContain =
@@ -948,7 +954,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step03_CreateFromChatClient",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step03_CreateFromChatClient",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -962,7 +968,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step04_CreateFromOpenAIResponseClient",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -976,7 +982,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step05_Conversation",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step05_Conversation",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
MustContain =
@@ -1023,7 +1029,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step07_Observability",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step07_Observability",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME", "APPLICATIONINSIGHTS_CONNECTION_STRING"],
SkipReason = "Requires Application Insights / OpenTelemetry infrastructure.",
@@ -1032,7 +1038,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step09_UsingMcpClientAsTools",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step09_UsingMcpClientAsTools",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -1045,7 +1051,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step15_ComputerUse",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step15_ComputerUse",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription = ["The output should show a computer automation session processing simulated browser screenshots with iteration steps and a final response describing search results."],
@@ -1054,7 +1060,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step18_BingCustomSearch",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step18_BingCustomSearch",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "AZURE_AI_CUSTOM_SEARCH_CONNECTION_ID", "AZURE_AI_CUSTOM_SEARCH_INSTANCE_NAME"],
SkipReason = "Requires Bing Custom Search connection.",
},
@@ -1062,7 +1068,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step19_SharePoint",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step19_SharePoint",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "SHAREPOINT_PROJECT_CONNECTION_ID"],
SkipReason = "Requires SharePoint connection.",
},
@@ -1070,7 +1076,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step20_MicrosoftFabric",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step20_MicrosoftFabric",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "FABRIC_PROJECT_CONNECTION_ID"],
SkipReason = "Requires Microsoft Fabric connection.",
},
@@ -1078,7 +1084,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step21_WebSearch",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step21_WebSearch",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -1091,7 +1097,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step22_MemorySearch",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step22_MemorySearch",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "AZURE_AI_EMBEDDING_DEPLOYMENT_NAME"],
OptionalEnvironmentVariables = ["AZURE_AI_MEMORY_STORE_ID"],
MustContain = ["Agent created with Memory Search tool. Starting conversation..."],
@@ -1105,7 +1111,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step23_LocalMCP",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step23_LocalMCP",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription = ["The output should show an agent using the Microsoft Learn MCP server to search for documentation and provide a response."],
+10 -10
View File
@@ -26,8 +26,8 @@ internal static class GetStartedSamples
{
Name = "01_hello_agent",
ProjectPath = "samples/01-get-started/01_hello_agent",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
ExpectedOutputDescription =
[
"The output should contain a joke about a pirate.",
@@ -40,8 +40,8 @@ internal static class GetStartedSamples
{
Name = "02_add_tools",
ProjectPath = "samples/01-get-started/02_add_tools",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
MustContain = [],
ExpectedOutputDescription =
[
@@ -56,8 +56,8 @@ internal static class GetStartedSamples
{
Name = "03_multi_turn",
ProjectPath = "samples/01-get-started/03_multi_turn",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
ExpectedOutputDescription =
[
"The output should contain a joke about a pirate.",
@@ -71,8 +71,8 @@ internal static class GetStartedSamples
{
Name = "04_memory",
ProjectPath = "samples/01-get-started/04_memory",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
MustContain =
[
">> Use session with blank memory",
@@ -97,8 +97,8 @@ internal static class GetStartedSamples
{
Name = "06_host_your_agent",
ProjectPath = "samples/01-get-started/06_host_your_agent",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
SkipReason = "Requires Azure Functions Core Tools runtime and starts a web server.",
},
];
@@ -439,15 +439,6 @@ internal static class WorkflowSamples
ExpectedOutputDescription = ["The output should show a workflow calling function tools (e.g. a menu plugin) to answer a question about restaurant specials."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_GenerateCode",
ProjectPath = "samples/03-workflows/Declarative/GenerateCode",
IsDeterministic = true,
MustContain = ["WORKFLOW: Parsing", "WORKFLOW: Defined"],
ExpectedOutputDescription = ["The output should show a YAML workflow being parsed and C# code being generated from it."],
},
new SampleDefinition
{
Name = "Workflow_Declarative_HostedWorkflow",
+3 -3
View File
@@ -1,14 +1,14 @@
<Project>
<PropertyGroup>
<!-- Central version prefix - applies to all nuget packages. -->
<VersionPrefix>1.7.0</VersionPrefix>
<VersionPrefix>1.10.0</VersionPrefix>
<RCNumber>1</RCNumber>
<DateSuffix>260526</DateSuffix>
<DateSuffix>260610</DateSuffix>
<PackageVersion Condition="'$(IsReleaseCandidate)' == 'true'">$(VersionPrefix)-rc$(RCNumber)</PackageVersion>
<PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).$(DateSuffix).1</PackageVersion>
<PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.$(DateSuffix).1</PackageVersion>
<PackageVersion Condition="'$(IsReleased)' == 'true'">$(VersionPrefix)</PackageVersion>
<GitTag>1.7.0</GitTag>
<GitTag>1.10.0</GitTag>
<Configurations>Debug;Release;Publish</Configurations>
<IsPackable>true</IsPackable>
@@ -9,13 +9,12 @@
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Microsoft.Extensions.AI.Abstractions" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,23 +1,19 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to create and use a simple AI agent with Azure OpenAI as the backend.
// This sample shows how to create and use a simple AI agent with AIProjectClient as the backend.
using Azure.AI.OpenAI;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
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-5.4-mini";
var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
var model = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
// 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 good at telling jokes.", name: "Joker");
AIAgent agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
.AsAIAgent(model: model, instructions: "You are good at telling jokes.", name: "Joker");
// Invoke the agent and output the text result.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));
@@ -9,13 +9,12 @@
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Microsoft.Extensions.AI.Abstractions" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -1,31 +1,27 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use a ChatClientAgent with function tools.
// It shows both non-streaming and streaming agent interactions using menu-related tools.
// This sample demonstrates how to use an AIProjectClient agent with function tools.
// It shows both non-streaming and streaming agent interactions using weather tools.
using System.ComponentModel;
using Azure.AI.OpenAI;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
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-5.4-mini";
var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
var model = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
[Description("Get the weather for a given location.")]
static string GetWeather([Description("The location to get the weather for.")] string location)
=> $"The weather in {location} is cloudy with a high of 15°C.";
// Create the chat client and agent, and provide the function tool to the agent.
// Create the agent and provide the function tool to the agent.
// 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", tools: [AIFunctionFactory.Create(GetWeather)]);
AIAgent agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
.AsAIAgent(model: model, instructions: "You are a helpful assistant", tools: [AIFunctionFactory.Create(GetWeather)]);
// Non-streaming agent interaction with function tools.
Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?"));
@@ -9,13 +9,12 @@
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Microsoft.Extensions.AI.Abstractions" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -2,22 +2,18 @@
// This sample shows how to create and use a simple AI agent with a multi-turn conversation.
using Azure.AI.OpenAI;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
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-5.4-mini";
var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
var model = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
// 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 good at telling jokes.", name: "Joker");
AIAgent agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
.AsAIAgent(model: model, instructions: "You are good at telling jokes.", name: "Joker");
// Invoke the agent with a multi-turn conversation, where the context is preserved in the session object.
AgentSession session = await agent.CreateSessionAsync();
@@ -9,13 +9,12 @@
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Microsoft.Extensions.AI.Abstractions" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -8,23 +8,26 @@
using System.Text;
using System.Text.Json;
using Azure.AI.OpenAI;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Chat;
using SampleApp;
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-5.4-mini";
var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
var model = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
// 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.
ChatClient chatClient = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetChatClient(deploymentName);
var projectClient = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential());
// Get the underlying IChatClient to use for the memory component.
// The memory provider needs direct IChatClient access for structured extraction.
IChatClient chatClient = projectClient
.AsAIAgent(new ChatClientAgentOptions { ChatOptions = new() { ModelId = model } })
.GetService<IChatClient>()
?? throw new InvalidOperationException("Could not retrieve IChatClient from AIProjectClient agent.");
// Create the agent and provide a factory to add our custom memory component to
// all sessions created by the agent. Here each new memory component will have its own
@@ -36,7 +39,7 @@ ChatClient chatClient = new AzureOpenAIClient(
AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions()
{
ChatOptions = new() { Instructions = "You are a friendly assistant. Always address the user by their name." },
AIContextProviders = [new UserInfoMemory(chatClient.AsIChatClient())]
AIContextProviders = [new UserInfoMemory(chatClient)]
});
// Create a new session for the conversation.
@@ -21,11 +21,10 @@
<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" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -4,36 +4,32 @@
//
// Prerequisites:
// - Azure Functions Core Tools
// - Azure OpenAI resource
// - Foundry project endpoint and credentials
//
// Environment variables:
// AZURE_OPENAI_ENDPOINT
// AZURE_OPENAI_DEPLOYMENT_NAME (defaults to "gpt-5.4-mini")
// FOUNDRY_PROJECT_ENDPOINT
// FOUNDRY_MODEL (defaults to "gpt-5.4-mini")
//
// Run with: func start
// Then call: POST http://localhost:7071/api/agents/HostedAgent/run
using Azure.AI.OpenAI;
using Azure.AI.Projects;
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-5.4-mini";
var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT")
?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
var model = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-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");
AIAgent agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
.AsAIAgent(model: model, 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.
@@ -10,6 +10,11 @@ WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
builder.Services.AddHttpClient().AddLogging();
builder.Services.AddAGUI();
// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
// deployments, e.g.:
// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
WebApplication app = builder.Build();
string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"]
@@ -14,6 +14,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
@@ -16,6 +16,11 @@ builder.Services.ConfigureHttpJsonOptions(options =>
options.SerializerOptions.TypeInfoResolverChain.Add(SampleJsonSerializerContext.Default));
builder.Services.AddAGUI();
// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
// deployments, e.g.:
// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
WebApplication app = builder.Build();
string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"]
@@ -14,6 +14,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
@@ -10,6 +10,11 @@ WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
builder.Services.AddHttpClient().AddLogging();
builder.Services.AddAGUI();
// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
// deployments, e.g.:
// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
WebApplication app = builder.Build();
string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"]
@@ -14,6 +14,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
@@ -27,6 +27,11 @@ builder.Services.ConfigureHttpJsonOptions(options =>
options.SerializerOptions.TypeInfoResolverChain.Add(ApprovalJsonContext.Default));
builder.Services.AddAGUI();
// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
// deployments, e.g.:
// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
WebApplication app = builder.Build();
app.UseHttpLogging();
@@ -14,6 +14,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
@@ -17,6 +17,11 @@ builder.Services.AddAGUI();
// Configure to listen on port 8888
builder.WebHost.UseUrls("http://localhost:8888");
// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
// deployments, e.g.:
// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
WebApplication app = builder.Build();
string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"]
@@ -14,6 +14,7 @@
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
@@ -1,44 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
#pragma warning disable CS0618 // Type or member is obsolete - sample uses deprecated PersistentAgentsClientExtensions
// This sample shows how to create and use a simple AI agent with Microsoft Foundry Agents as the backend.
using Azure.AI.Agents.Persistent;
using Azure.Identity;
using Microsoft.Agents.AI;
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-5.4-mini";
const string JokerName = "Joker";
const string JokerInstructions = "You are good at telling jokes.";
// Get a client to create/retrieve server side agents with.
// 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.
var persistentAgentsClient = new PersistentAgentsClient(endpoint, new DefaultAzureCredential());
// You can create a server side persistent agent with the Azure.AI.Agents.Persistent SDK.
var agentMetadata = await persistentAgentsClient.Administration.CreateAgentAsync(
model: deploymentName,
name: JokerName,
instructions: JokerInstructions);
// You can retrieve an already created server side persistent agent as an AIAgent.
AIAgent agent1 = await persistentAgentsClient.GetAIAgentAsync(agentMetadata.Value.Id);
// You can also create a server side persistent agent and return it as an AIAgent directly.
AIAgent agent2 = await persistentAgentsClient.CreateAIAgentAsync(
model: deploymentName,
name: JokerName,
instructions: JokerInstructions);
// You can then invoke the agent like any other AIAgent.
AgentSession session = await agent1.CreateSessionAsync();
Console.WriteLine(await agent1.RunAsync("Tell me a joke about a pirate.", session));
// Cleanup for sample purposes.
await persistentAgentsClient.Administration.DeleteAgentAsync(agent1.Id);
await persistentAgentsClient.Administration.DeleteAgentAsync(agent2.Id);
@@ -1,26 +0,0 @@
# Classic Foundry Agents
This sample demonstrates how to create an agent using the classic Foundry Agents experience.
# Classic vs New Foundry Agents
Below is a comparison between the classic and new Foundry Agents approaches:
[Migration Guide](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/migrate?view=foundry)
# Prerequisites
Before you begin, ensure you have the following prerequisites:
- .NET 10 SDK or later
- Microsoft Foundry service endpoint and deployment configured
- Azure CLI installed and authenticated (for Azure credential authentication)
**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Microsoft Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
Set the following environment variables:
```powershell
$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Microsoft Foundry resource endpoint
$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini" # Optional, defaults to gpt-5.4-mini
```
@@ -1,7 +1,8 @@
# Creating an AIAgent instance for various providers
# Creating an AIAgent with various providers
These samples show how to create an AIAgent instance using various providers.
This is not an exhaustive list, but shows a variety of the more popular options.
These samples show how to create an AIAgent instance using various providers,
organized by provider. This is not an exhaustive list, but shows a variety of
the more popular options.
For other samples that demonstrate how to use AIAgent instances,
see the [Getting Started With Agents](../Agents/README.md) samples.
@@ -10,54 +11,88 @@ see the [Getting Started With Agents](../Agents/README.md) samples.
See the README.md for each sample for the prerequisites for that sample.
## Samples
## Providers
|Sample|Description|
|---|---|
|[Creating an AIAgent with A2A](./Agent_With_A2A/)|This sample demonstrates how to create AIAgent for an existing A2A agent.|
|[Creating an AIAgent with Anthropic](./Agent_With_Anthropic/)|This sample demonstrates how to create an AIAgent using Anthropic Claude models as the underlying inference service|
|[Creating an AIAgent with Foundry Agents using Azure.AI.Agents.Persistent](./Agent_With_AzureAIAgentsPersistent/)|This sample demonstrates how to create a Foundry Persistent agent and expose it as an AIAgent using the Azure.AI.Agents.Persistent SDK|
|[Creating an AIAgent with Foundry Agents using Azure.AI.Project](./Agent_With_AzureAIProject/)|This sample demonstrates how to create an Foundry Project agent and expose it as an AIAgent using the Azure.AI.Project SDK|
|[Creating an AIAgent with Foundry Model](./Agent_With_AzureFoundryModel/)|This sample demonstrates how to use any model deployed to Microsoft Foundry to create an AIAgent|
|[Creating an AIAgent with Azure OpenAI ChatCompletion](./Agent_With_AzureOpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using Azure OpenAI ChatCompletion as the underlying inference service|
|[Creating an AIAgent with Azure OpenAI Responses](./Agent_With_AzureOpenAIResponses/)|This sample demonstrates how to create an AIAgent using Azure OpenAI Responses as the underlying inference service|
|[Creating an AIAgent with a custom implementation](./Agent_With_CustomImplementation/)|This sample demonstrates how to create an AIAgent with a custom implementation|
|[Creating an AIAgent with GitHub Copilot](./Agent_With_GitHubCopilot/)|This sample demonstrates how to create an AIAgent using GitHub Copilot SDK as the underlying inference service|
|[Creating an AIAgent with Ollama](./Agent_With_Ollama/)|This sample demonstrates how to create an AIAgent using Ollama as the underlying inference service|
|[Creating an AIAgent with ONNX](./Agent_With_ONNX/)|This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service|
|[Creating an AIAgent with OpenAI ChatCompletion](./Agent_With_OpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using OpenAI ChatCompletion as the underlying inference service|
|[Creating an AIAgent with OpenAI Responses](./Agent_With_OpenAIResponses/)|This sample demonstrates how to create an AIAgent using OpenAI Responses as the underlying inference service|
### [A2A](./a2a/)
## Running the samples from the console
| Sample | Description |
| --- | --- |
| [Agent with A2A](./a2a/Agent_With_A2A/) | Create an AIAgent for an existing A2A agent |
To run the samples, navigate to the desired sample directory, e.g.
### [Anthropic](./anthropic/)
```powershell
cd AIAgent_With_AzureOpenAIChatCompletion
```
| Sample | Description |
| --- | --- |
| [Agent with Anthropic](./anthropic/Agent_With_Anthropic/) | Create an AIAgent using Anthropic Claude models |
| [Running](./anthropic/Agent_Anthropic_Step01_Running/) | Basic Anthropic agent usage |
| [Reasoning](./anthropic/Agent_Anthropic_Step02_Reasoning/) | Using Anthropic reasoning capabilities |
| [Function Tools](./anthropic/Agent_Anthropic_Step03_UsingFunctionTools/) | Using function tools with Anthropic |
| [Skills](./anthropic/Agent_Anthropic_Step04_UsingSkills/) | Using skills with Anthropic agents |
Set the required environment variables as documented in the sample readme.
If the variables are not set, you will be prompted for the values when running the samples.
Execute the following command to build the sample:
### [Azure](./azure/)
```powershell
dotnet build
```
| Sample | Description |
| --- | --- |
| [Azure AI Project](./azure/Agent_With_AzureAIProject/) | Create a Foundry Project agent using the Azure.AI.Project SDK |
| [Azure Foundry Model](./azure/Agent_With_AzureFoundryModel/) | Use any model deployed to Microsoft Foundry |
| [Azure OpenAI ChatCompletion](./azure/Agent_With_AzureOpenAIChatCompletion/) | Create an AIAgent using Azure OpenAI ChatCompletion |
| [Azure OpenAI Responses](./azure/Agent_With_AzureOpenAIResponses/) | Create an AIAgent using Azure OpenAI Responses |
Execute the following command to run the sample:
### [Custom](./custom/)
```powershell
dotnet run --no-build
```
| Sample | Description |
| --- | --- |
| [Custom Implementation](./custom/Agent_With_CustomImplementation/) | Create an AIAgent with a custom implementation |
Or just build and run in one step:
### [Foundry](./foundry/)
See [foundry/README.md](./foundry/README.md) for the full list of Foundry agent samples,
covering basics, function tools, structured output, middleware, MCP, code interpreter, and more.
### [GitHub Copilot](./github-copilot/)
| Sample | Description |
| --- | --- |
| [GitHub Copilot](./github-copilot/Agent_With_GitHubCopilot/) | Create an AIAgent using GitHub Copilot SDK |
### [Google Gemini](./google-gemini/)
| Sample | Description |
| --- | --- |
| [Google Gemini](./google-gemini/Agent_With_GoogleGemini/) | Create an AIAgent using Google Gemini |
### [Ollama](./ollama/)
| Sample | Description |
| --- | --- |
| [Ollama](./ollama/Agent_With_Ollama/) | Create an AIAgent using Ollama |
### [ONNX](./onnx/)
| Sample | Description |
| --- | --- |
| [ONNX](./onnx/Agent_With_ONNX/) | Create an AIAgent using ONNX Runtime |
### [OpenAI](./openai/)
| Sample | Description |
| --- | --- |
| [OpenAI ChatCompletion](./openai/Agent_With_OpenAIChatCompletion/) | Create an AIAgent using OpenAI ChatCompletion |
| [OpenAI Responses](./openai/Agent_With_OpenAIResponses/) | Create an AIAgent using OpenAI Responses |
| [Running](./openai/Agent_OpenAI_Step01_Running/) | Basic OpenAI agent usage |
| [Reasoning](./openai/Agent_OpenAI_Step02_Reasoning/) | Using OpenAI reasoning capabilities |
| [Create from ChatClient](./openai/Agent_OpenAI_Step03_CreateFromChatClient/) | Create agent from IChatClient |
| [Create from Response Client](./openai/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/) | Create agent from OpenAI Response client |
| [Conversation](./openai/Agent_OpenAI_Step05_Conversation/) | Multi-turn conversations with OpenAI |
| [Code Interpreter](./openai/Agent_OpenAI_Step06_CodeInterpreterFileDownload/) | Code interpreter with file downloads |
## Running the samples
Navigate to a sample directory and run:
```powershell
dotnet run
```
## Running the samples from Visual Studio
Open the solution in Visual Studio and set the desired sample project as the startup project. Then, run the project using the built-in debugger or by pressing `F5`.
You will be prompted for any required environment variables if they are not already set.
Set the required environment variables as documented in each sample's README.
If the variables are not set, you will be prompted for the values when running the samples.
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
</ItemGroup>
</Project>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Running a simple agent with Anthropic
# Running a simple agent with Anthropic
This sample demonstrates how to create and run a basic agent with Anthropic Claude models.
@@ -26,10 +26,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model" # Replace with your Anthr
## Run the sample
Navigate to the AgentWithAnthropic sample directory and run:
Navigate to the Anthropic sample directory and run:
```powershell
cd dotnet\samples\02-agents\AgentWithAnthropic
cd dotnet\samples\02-agents\AgentProviders\anthropic
dotnet run --project .\Agent_Anthropic_Step01_Running
```
@@ -41,3 +41,4 @@ The sample will:
2. Run the agent with a simple prompt
3. Display the agent's response
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Using reasoning with Anthropic agents
# Using reasoning with Anthropic agents
This sample demonstrates how to use extended thinking/reasoning capabilities with Anthropic Claude agents.
@@ -28,10 +28,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model" # Replace with your Anthr
## Run the sample
Navigate to the AgentWithAnthropic sample directory and run:
Navigate to the Anthropic sample directory and run:
```powershell
cd dotnet\samples\02-agents\AgentWithAnthropic
cd dotnet\samples\02-agents\AgentProviders\anthropic
dotnet run --project .\Agent_Anthropic_Step02_Reasoning
```
@@ -44,3 +44,4 @@ The sample will:
3. Display the agent's thinking process
4. Display the agent's final response
@@ -0,0 +1,15 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net10.0</TargetFramework>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Using Function Tools with Anthropic agents
# Using Function Tools with Anthropic agents
This sample demonstrates how to use function tools with Anthropic Claude agents, allowing agents to call custom functions to retrieve information.
@@ -28,10 +28,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model" # Replace with your Anthr
## Run the sample
Navigate to the AgentWithAnthropic sample directory and run:
Navigate to the Anthropic sample directory and run:
```powershell
cd dotnet\samples\02-agents\AgentWithAnthropic
cd dotnet\samples\02-agents\AgentProviders\anthropic
dotnet run --project .\Agent_Anthropic_Step03_UsingFunctionTools
```
@@ -45,3 +45,4 @@ The sample will:
4. Run the agent again with streaming to display the response as it's generated
5. Clean up resources by deleting the agent
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Using Anthropic Skills with agents
# Using Anthropic Skills with agents
This sample demonstrates how to use Anthropic-managed Skills with AI agents. Skills are pre-built capabilities provided by Anthropic that can be used with the Claude API.
@@ -29,10 +29,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model" # Replace with your Anthr
## Run the sample
Navigate to the AgentWithAnthropic sample directory and run:
Navigate to the Anthropic sample directory and run:
```powershell
cd dotnet\samples\02-agents\AgentWithAnthropic
cd dotnet\samples\02-agents\AgentProviders\anthropic
dotnet run --project .\Agent_Anthropic_Step04_UsingSkills
```
@@ -117,3 +117,4 @@ foreach (HostedFileContent file in hostedFiles)
await contentStream.CopyToAsync(fileStream);
}
```
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Creating an AIAgent with Anthropic
# Creating an AIAgent with Anthropic
This sample demonstrates how to create an AIAgent using Anthropic Claude models as the underlying inference service.
@@ -51,3 +51,4 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="claude-haiku-4-5" # Optional, defaults to claud
```
**Note**: When using Microsoft Foundry with Azure CLI, make sure you're logged in with `az login` and have access to the Microsoft Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
@@ -1,4 +1,4 @@
# Getting started with agents using Anthropic
# Getting started with agents using Anthropic
The getting started with agents using Anthropic samples demonstrate the fundamental concepts and functionalities
of single agents using Anthropic as the AI provider.
@@ -6,7 +6,7 @@ of single agents using Anthropic as the AI provider.
These samples use Anthropic Claude models as the AI provider and use ChatCompletion as the type of service.
For other samples that demonstrate how to create and configure each type of agent that come with the agent framework,
see the [How to create an agent for each provider](../AgentProviders/README.md) samples.
see the [How to create an agent for each provider](../README.md) samples.
## Getting started with agents using Anthropic prerequisites
@@ -20,7 +20,7 @@ Before you begin, ensure you have the following prerequisites:
## Using Anthropic with Microsoft Foundry
To use Anthropic with Microsoft Foundry, you can check the sample [AgentProviders/Agent_With_Anthropic](../AgentProviders/Agent_With_Anthropic/README.md) for more details.
To use Anthropic with Microsoft Foundry, you can check the sample [providers/Agent_With_Anthropic](./Agent_With_Anthropic/README.md) for more details.
## Samples
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>

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