* Add script to ping on stale issues/PRs
* Add script to ping on stale issues/PRs
* Fix stale issue/PR ping script review comments
- Rename TEAM_NAME env var to TEAM_SLUG for clarity
- Add actionable error messages for 403/404 team lookup failures
- Add contents:read permission for actions/checkout
- Use github.event.inputs context with fallback for scheduled runs
- Pin PyGithub to 2.6.0 for reproducible builds
- Fetch comments once in should_ping() to reduce API calls
- Make ping() retry loop idempotent (track comment/label state)
- Validate DAYS_THRESHOLD with helpful error for non-numeric input
- Fix timezone bug: use astimezone() instead of replace(tzinfo=)
- Add comprehensive unit tests (29 tests)
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>
* updated automation tasks and commands, with alias for the time being
* Restore aggregate test exclusions
Preserve the legacy all-tests scope for test --all by excluding lab and devui from the default aggregate sweep, while still allowing explicit package selection. Also ignore hidden/generated test directories such as .mypy_cache during aggregate discovery.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated versions in pre-commit
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg
·
2026-03-18 18:39:11 +00:00
* Suppress IL2026/IL3050 with targeted pragmas on affected methods
Add #pragma warning disable/restore for IL2026 and IL3050 only around
the specific methods where dotnet format incorrectly adds
[RequiresUnreferencedCode] and [RequiresDynamicCode] attributes despite
proper interceptors configuration in the csproj.
See https://github.com/dotnet/sdk/issues/51136
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Upgrade to .NET SDK 10.0.200 and remove IL2026/IL3050 workarounds
Bump global.json to SDK 10.0.200 which fixes the dotnet format bug
that incorrectly added [RequiresUnreferencedCode] and
[RequiresDynamicCode] attributes (https://github.com/dotnet/sdk/issues/51136).
Remove all #pragma warning disable IL2026/IL3050 workarounds from
source files and the --exclude-diagnostics flag from the CI format
workflow.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Update github_copilot package for github-copilot-sdk>=0.1.32 (#4549)
- Update requires-python from >=3.10 to >=3.11
- Remove Python 3.10 classifier
- Update mypy python_version to 3.11
- Update dependency to github-copilot-sdk>=0.1.32
- Fix ToolResult API: use snake_case kwargs (text_result_for_llm,
result_type) instead of camelCase (textResultForLlm, resultType)
- Update test assertions to use attribute access on ToolResult
- Add ToolResult type assertions to tool handler tests
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix tests to use ToolInvocation dataclass instead of plain dict (#4549)
Update test_github_copilot_agent.py to pass ToolInvocation objects to tool
handlers instead of plain dicts, matching the github-copilot-sdk>=0.1.32 API
where ToolInvocation is a dataclass with an .arguments attribute.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add regression tests for ToolInvocation contract (#4549)
Add tests to lock in the new ToolInvocation-based calling convention:
- test_tool_handler_rejects_raw_dict_invocation: verifies passing a raw
dict (old calling convention) raises TypeError/AttributeError
- test_tool_handler_with_empty_arguments: verifies ToolInvocation with
empty arguments works correctly for no-arg tools
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Revert requires-python to >=3.10 to avoid breaking CI (#4549)
The repo CI runs with Python 3.10 (uv sync --all-packages) and all other
packages require >=3.10. Raising this package to >=3.11 would break the
shared install flow. The SDK dependency version constraint (>=0.1.32) will
enforce any Python version requirement from the SDK itself.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix min Python version for github_copilot package to >=3.11
github-copilot-sdk>=0.1.32 requires Python>=3.11, which conflicts
with the package's declared >=3.10 minimum, breaking uv sync.
* Bump py version for GH workflows to 3.11, exclude GHCP sdk from 3.10 items
* Fix uv command
* Fixes
* Update samples
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* .NET: Upgrade to XUnit 3 and Microsoft Testing Platform (#4176)
* Fix copilot studio integration tests failure (#4209)
* Fix anthropic integration tests and skip reason (#4211)
* Remove accidental add of code coverage for integration tests (#4219)
* Add solution filtered parallel test run (#4226)
* Fix build paths (#4228)
* Fix coverage settings path and trait filter (#4229)
* Add project name filter to solution (#4231)
* Increase Integration Test Parallelism (#4241)
* Increase integration tests threads to 4x (#4242)
* Separate build and test into parallel jobs (#4243)
* Filter src by framework for tests build (#4244)
* Separate build and test into parallel jobs
* Filter source projects by framework for tests build
* Pre-build samples via tests to avoid timeouts (#4245)
* Separate build from run for console sample validation (#4251)
* Address PR comments (#4255)
* Merge and move scripts (#4308)
* .NET: Add Microsoft Fabric sample #3674 (#4230)
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
* Python: Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference (#4207)
* Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference
Add embedding client implementations to existing provider packages:
- OllamaEmbeddingClient: Text embeddings via Ollama's embed API
- BedrockEmbeddingClient: Text embeddings via Amazon Titan on Bedrock
- AzureAIInferenceEmbeddingClient: Text and image embeddings via Azure AI
Inference, supporting Content | str input with separate model IDs for
text (AZURE_AI_INFERENCE_EMBEDDING_MODEL_ID) and image
(AZURE_AI_INFERENCE_IMAGE_EMBEDDING_MODEL_ID) endpoints
Additional changes:
- Rename EmbeddingCoT -> EmbeddingT, EmbeddingOptionsCoT -> EmbeddingOptionsT
- Add otel_provider_name passthrough to all embedding clients
- Register integration pytest marker in all packages
- Add lazy-loading namespace exports for Ollama and Bedrock embeddings
- Add image embedding sample using Cohere-embed-v3-english
- Add azure-ai-inference dependency to azure-ai package
Part of #1188
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix mypy duplicate name and ruff lint issues
- Rename second 'vector' variable to 'img_vector' in image embedding loop
- Combine nested with statements in tests
- Remove unused result assignments in tests
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updates from feedback
* Fix CI failures in embedding usage handling
- Fix Azure AI embedding mypy issues by normalizing vectors to list[float],
safely accumulating optional usage token fields, and filtering None entries
before constructing GeneratedEmbeddings
- Avoid Bandit false positive by initializing usage details as an empty dict
- Update OpenAI embedding tests to assert canonical usage keys
(input_token_count/total_token_count)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* [Purview] Mark responses as responses and fix epoch bug for python long overflow (#4225)
* .NET: Support InvokeMcpTool for declarative workflows (#4204)
* Initial implementation of InvokeMcpTool in declarative workflow
* Cleaned up sample implementation
* Updated sample comments.
* Added missing executor routing attribute
* Fix PR comments.
* Updated based on PR comments.
* Updated based on PR comments.
* Removed unnecessary using statement.
* Update Python package versions to rc2 (#4258)
- Bump core and azure-ai to 1.0.0rc2
- Bump preview packages to 1.0.0b260225
- Update dependencies to >=1.0.0rc2
- Add CHANGELOG entries for changes since rc1
- Update uv.lock
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* .NET: Fixing issue where OpenTelemetry span is never exported in .NET in-process workflow execution (#4196)
* 1. Add reproduction test for issue #4155: workflow.run Activity never stopped in streaming OffThread path
The WorkflowRunActivity_IsStopped_Streaming_OffThread test demonstrates that
the workflow.run OpenTelemetry Activity created in StreamingRunEventStream.RunLoopAsync
is started but never stopped when using the OffThread/Default streaming execution.
The background run loop keeps running after event consumption completes, so the
using Activity? declaration never disposes until explicit StopAsync() is called.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2. Fix workflow.run Activity never stopped in streaming OffThread execution (#4155)
The workflow.run OpenTelemetry Activity in StreamingRunEventStream.RunLoopAsync
was scoped to the method lifetime via 'using'. Since the run loop only exits on
cancellation, the Activity was never stopped/exported until explicit disposal.
Fix: Remove 'using' and explicitly dispose the Activity when the workflow reaches
Idle status (all supersteps complete). A safety-net disposal in the finally block
handles cancellation and error paths.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add root-level workflow.session activity spanning run loop lifetime\n\nImplements two-level telemetry hierarchy per PR feedback from lokitoth:\n- workflow.session: spans the entire run loop / stream lifetime\n- workflow_invoke: per input-to-halt cycle, nested within the session\n\nThis ensures the session activity stays open across multiple turns,\nwhile individual run activities are created and disposed per cycle.\n\nAlso fixes linkedSource CancellationTokenSource disposal leak in\nStreamingRunEventStream (added using declaration)."
* Address Copilot review: fix Activity/CTS disposal, rename activity, add error tag\n\n1. LockstepRunEventStream: Remove 'using' from Activity in async iterator\n and manually dispose in finally block (fixes#4155 pattern). Also dispose\n linkedSource CTS in finally to prevent leak.\n2. Tags.cs: Add ErrorMessage (\"error.message\") tag for runtime errors,\n distinct from BuildErrorMessage (\"build.error.message\").\n3. ActivityNames: Rename WorkflowRun from \"workflow_invoke\" to \"workflow.run\"\n for cross-language consistency.\n4. WorkflowTelemetryContext: Fix XML doc to say \"outer/parent span\" instead\n of \"root-level span\".\n5. ObservabilityTests: Assert WorkflowSession absence when DisableWorkflowRun\n is true.\n6. WorkflowRunActivityStopTests: Fix streaming test race by disposing\n StreamingRun before asserting activities are stopped.\n7. StreamingRunEventStream/LockstepRunEventStream: Use Tags.ErrorMessage\n instead of Tags.BuildErrorMessage for runtime error events."
* Review fixes: revert workflow_invoke rename, use 'using' for linkedSource, move SessionStarted earlier\n\n- Revert ActivityNames.WorkflowRun back to \"workflow_invoke\" (OTEL semantic convention contract)\n- Use 'using' declaration for linkedSource CTS in LockstepRunEventStream (no timing sensitivity)\n- Move SessionStarted event before WaitForInputAsync in StreamingRunEventStream to match Lockstep behavior"
* Improve naming and comments in WorkflowRunActivityStopTests"
* Prevent session Activity.Current leak in lockstep mode, add nesting test
Save and restore Activity.Current in LockstepRunEventStream.Start() so the
session activity doesn't leak into caller code via AsyncLocal. Re-establish
Activity.Current = sessionActivity before creating the run activity in
TakeEventStreamAsync to preserve parent-child nesting.
Add test verifying app activities after RunAsync are not parented under the
session, and that the workflow_invoke activity nests under the session."
* Fix stale XML doc: WorkflowRun -> WorkflowInvoke in ObservabilityTests
---------
Co-authored-by: alliscode <bentho@microsoft.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python / .NET Samples - Restructure and Improve Samples (Feature Branc… (#4092)
* Python: .NET Samples - Restructure and Improve Samples (Feature Branch) (#4091)
* Moved by agent (#4094)
* Fix readme links
* .NET Samples - Create `04-hosting` learning path step (#4098)
* Agent move
* Agent reorderd
* Remove A2A section from README
Removed A2A section from the Getting Started README.
* Agent fixed links
* Fix broken sample links in durable-agents README (#4101)
* Initial plan
* Fix broken internal links in documentation
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
* Revert template link changes; keep only durable-agents README fix
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
* .NET Samples - Create `03-workflows` learning path step (#4102)
* Fix solution project path
* Python: Fix broken markdown links to repo resources (outside /docs) (#4105)
* Initial plan
* Fix broken markdown links to repo resources
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
* Update README to rename .NET Workflows Samples section
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
* .NET Samples - Create `02-agents` learning path step (#4107)
* .NET: Fix broken relative link in GroupChatToolApproval README (#4108)
* Initial plan
* Fix broken link in GroupChatToolApproval README
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
* Update labeler configuration for workflow samples
* .NET - Reorder Agents samples to start from Step01 instead of Step04 (#4110)
* Fix solution
* Resolve new sample paths
* Move new AgentSkills and AgentWithMemory_Step04 samples
* Fix link
* Fix readme path
* fix: update stale dotnet/samples/Durable path reference in AGENTS.md
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
* Moved new sample
* Update solution
* Resolve merge (new sample)
* Sync to new sample - FoundryAgents_Step21_BingCustomSearch
* Updated README
* .NET Samples - Configuration Naming Update (#4149)
* .NET: Restore AzureFunctions index parity with ConsoleApps under DurableAgents samples (#4221)
* Clean-up `05_host_your_agent`
* Config setting consistency
* Refine samples
* AGENTS.md
* Move new samples
* Re-order samples
* Move new project and fixup solution
* Fixup model config
* Fix up new UT project
---------
Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
* Python: Fix Bedrock embedding test stub missing meta attribute (#4287)
* Fix Bedrock embedding test stub missing meta attribute
* Increase test coverage so gate passes
* Python: (ag-ui): fix approval payloads being re-processed on subsequent conversation turns (#4232)
* Fix ag-ui tool call issue
* Safe json fix
* Python: Update workflow orchestration samples to use AzureOpenAIResponsesClient (#4285)
* Update workflow orchestration samples to use AzureOpenAIResponsesClient
* Fix broken link
* Move scripts to scripts folder
---------
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Rishabh Chawla <rishabhchawla1995@gmail.com>
Co-authored-by: Peter Ibekwe <109177538+peibekwe@users.noreply.github.com>
Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
Co-authored-by: Ben Thomas <ben.thomas@microsoft.com>
Co-authored-by: alliscode <bentho@microsoft.com>
Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
* Fix encoding (#4309)
* Disable Parallelization for WorkflowRunActivityStopTests (#4313)
* Revert parallel disable (#4324)
* .NET: Disable flakey Workflow Observability tests (#4416)
* Disable flakey OffThread test
* Disable additional OffThread test
* Disable a further test
* Disable all observability tests
---------
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Rishabh Chawla <rishabhchawla1995@gmail.com>
Co-authored-by: Peter Ibekwe <109177538+peibekwe@users.noreply.github.com>
Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
Co-authored-by: Ben Thomas <ben.thomas@microsoft.com>
Co-authored-by: alliscode <bentho@microsoft.com>
Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
* Add foundry extension samples for python and dotnet
* Align foundry extension samples with existing hosted agent patterns
- Fix Python multiagent indentation bug (from_agent_framework ran in both modes)
- Remove hardcoded personal endpoint from appsettings.Development.json
- Rename .NET folders/projects to PascalCase (FoundryMultiAgent, FoundrySingleAgent)
- Upgrade .NET multiagent from net9.0 to net10.0
- Add ManagePackageVersionsCentrally=false and analyzer blocks to .csproj files
- Replace wildcard package versions with fixed versions
- Use alpine Docker images and standard build pattern
- Align agent.yaml structure (template nesting, displayName, resources, authors)
- Convert .NET multiagent from namespace/class to top-level statements
- Add run-requests.http for multiagent sample
- Fix Python requirements.txt (remove dev deps, add agent-framework)
- Add proper copyright headers
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Align foundry samples: fix builds, upgrade AgentServer to beta.8
- Fix TargetFrameworks (plural) to override inherited net472 from Directory.Build.props
- Upgrade Azure.AI.AgentServer.AgentFramework to 1.0.0-beta.8 (latest)
- Bump OpenTelemetry packages to 1.12.0 (required by beta.8)
- Fix Roslynator/format errors (imports ordering, BOM, sealed record, target-typed new)
- Verified with docker dotnet format (matching CI pipeline)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Refactor hosted samples to use AIProjectClient.CreateAIAgentAsync
Replace PersistentAgentsClient and manual AzureOpenAIClient setup with
AIProjectClient.CreateAIAgentAsync() from Microsoft.Agents.AI.AzureAI.
- FoundryMultiAgent: Remove Azure.AI.Agents.Persistent, use CreateAIAgentAsync
for Writer and Reviewer agents with cleanup in finally block
- FoundrySingleAgent: Remove manual GetConnection/AzureOpenAIClient chain,
use CreateAIAgentAsync with hotel search tool
- Update csproj: add Microsoft.Agents.AI.AzureAI, remove unused packages
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Update READMEs to reflect AIProjectClient.CreateAIAgentAsync usage
- Reference Microsoft.Agents.AI.AzureAI and Microsoft.Agents.AI.Workflows packages
- Add Azure AI Developer role requirement for agents/write data action
- Replace PersistentAgentsClient references
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add HostedAgents READMEs and Foundry samples to solution
- Create dotnet/samples/05-end-to-end/HostedAgents/README.md with sample index
- Create python/samples/05-end-to-end/hosted_agents/README.md with sample index
- Add FoundryMultiAgent and FoundrySingleAgent to agent-framework-dotnet.slnx
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix Python linting: reorder imports before load_dotenv, remove trailing whitespace
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Update uv.lock to match latest package versions
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix trailing whitespace in foundry_single_agent agent.yaml
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Exclude dotnet.microsoft.com from link checker
This domain intermittently times out in CI, causing flaky markdown
link check failures unrelated to PR changes.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Align env vars to AZURE_AI_PROJECT_ENDPOINT and default model to gpt-4o-mini
Addresses PR review feedback:
- Rename PROJECT_ENDPOINT to AZURE_AI_PROJECT_ENDPOINT across all
Foundry samples (dotnet + python) to match existing samples
- Change default model from gpt-4.1-mini to gpt-4o-mini consistently
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Skip flaky test CreatesWorkflowEndToEndActivities_WithCorrectName_DefaultAsync
Tracked in #4398
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Remove Python foundry samples from PR scope
Python hosted agent samples need further alignment with the azure-ai
package conventions. Removing from this PR to ship .NET samples first.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Narrow linkspector exclusion to dotnet.microsoft.com/download only
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Leo Yao <leoyao@Leos-MacBook-Pro.local>
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Skip flacky UT
* Ignore org-level GitHub App checks in merge-gatekeeper
Add Cleanup artifacts, Agent, Prepare, and Upload results to the
ignored list. These are check runs created by an org-level GitHub App
(MSDO), not by any workflow in this repo, and their transient failures
should not block merges.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated integration tests and guidance
* fixed merge test
* updated integration tests
* fix: remove duplicate --dist loadfile flag from pytest-xdist config
Only one --dist mode can be active at a time; the second value silently
overrides the first. Keep --dist worksteal (dynamic load balancing) and
remove the redundant --dist loadfile from all workflow files and
pyproject.toml configs.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* docs: add keep-in-sync notes for merge and integration test workflows
Both python-merge-tests.yml and python-integration-tests.yml share the
same parallel job structure. Added sync reminders in workflow file
comments, the python-testing SKILL.md, and CODING_STANDARD.md.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* refactor: remove RUN_INTEGRATION_TESTS flag
Integration test gating now uses two mechanisms:
- `@pytest.mark.integration` for test selection via `-m` filtering
- `skip_if_*_disabled` for credential/service availability checks
The RUN_INTEGRATION_TESTS env var was redundant since the marker handles
selection and the skip decorators already check for actual credentials.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: sync missing env vars from merge-tests to integration-tests
Add OPENAI_EMBEDDINGS_MODEL_ID and AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME
to python-integration-tests.yml to match python-merge-tests.yml.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: remove remaining RUN_INTEGRATION_TESTS from embedding tests and docs
Missed test_openai_embedding_client.py and vector-stores README in the
earlier cleanup.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* set functions tests to 3.10
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg
·
2026-02-24 09:35:46 +00:00
* feat(python): Add embedding abstractions and OpenAI implementation (Phase 1)
This PR contains two parts:
1. **Overall migration plan** for porting vector stores and embeddings from
Semantic Kernel to Agent Framework (docs/features/vector-stores-and-embeddings/README.md)
covering all 10 phases from core abstractions through connectors and TextSearch.
2. **Phase 1 implementation** — core embedding abstractions and OpenAI/Azure OpenAI
embedding clients:
Core types (_types.py):
- EmbeddingGenerationOptions TypedDict (total=False)
- Embedding[EmbeddingT] generic class with model_id, dimensions, created_at
- GeneratedEmbeddings[EmbeddingT, EmbeddingOptionsT] list container with options, usage
- EmbeddingInputT (default str) and EmbeddingT (default list[float]) TypeVars
Protocol + base class (_clients.py):
- SupportsGetEmbeddings protocol — Generic[EmbeddingInputT, EmbeddingT, OptionsContraT]
- BaseEmbeddingClient ABC — Generic[EmbeddingInputT, EmbeddingT, OptionsCoT]
Telemetry (observability.py):
- EmbeddingTelemetryLayer with gen_ai.operation.name = "embeddings"
OpenAI implementation (openai/_embedding_client.py):
- RawOpenAIEmbeddingClient, OpenAIEmbeddingClient, OpenAIEmbeddingOptions
- Uses _ensure_client() factory pattern
Azure OpenAI implementation (azure/_embedding_client.py):
- AzureOpenAIEmbeddingClient following AzureOpenAIChatClient pattern
- Supports API key, Entra ID credentials, env var configuration
Tests:
- 47 unit tests for types, protocol, base class, OpenAI, and Azure clients
- 6 integration tests (gated behind RUN_INTEGRATION_TESTS + credentials)
Samples:
- samples/02-agents/embeddings/openai_embeddings.py
- samples/02-agents/embeddings/azure_openai_embeddings.py
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: Add AzureOpenAIEmbeddingClient to azure __init__.pyi stub
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* ci: Add embedding env vars to Python integration tests
Map OPENAI_EMBEDDING_MODEL_ID and AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME
from GitHub vars to the integration test environment.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: Handle base64 encoding_format in OpenAI embedding client
When encoding_format='base64' is used, the OpenAI API returns base64-encoded
floats instead of a JSON array. Decode these automatically to list[float]
so the return type stays consistent regardless of encoding format.
Also adds a unit test for base64 decoding and fixes minor docstring/import issues.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: Only record INPUT_TOKENS for embedding telemetry
Embeddings have no output/completion tokens. Remove OUTPUT_TOKENS recording
which was double-counting prompt_tokens via the total_tokens fallback.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: Resolve mypy variance error and lint warning
Use contravariant/covariant TypeVars for SupportsGetEmbeddings Protocol.
Combine nested if into single statement in telemetry layer.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: Make EmbeddingCoT invariant for mypy compatibility
GeneratedEmbeddings is invariant in its type param, so the Protocol
TypeVar cannot be covariant.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: Address PR review - empty values guard, service_url for telemetry
- Add early return for empty values in get_embeddings to avoid unnecessary API calls
- Add service_url() method to RawOpenAIEmbeddingClient for proper telemetry endpoint reporting
- Add test for empty values behavior
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix OpenAI chat client compatibility with third-party endpoints and OTel 0.4.14 (#4161)
* Fix system message content sent as list instead of string
Some OpenAI-compatible endpoints (e.g. NVIDIA NIM) reject system messages
when content is a list of content parts. This change flattens system and
developer message content to a plain string in the Chat Completions client.
Fixes https://github.com/microsoft/agent-framework/issues/1407
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix compatibility with opentelemetry-semantic-conventions-ai 0.4.14
Version 0.4.14 removed several LLM_* attributes from SpanAttributes
(LLM_SYSTEM, LLM_REQUEST_MODEL, LLM_RESPONSE_MODEL, LLM_REQUEST_MAX_TOKENS,
LLM_REQUEST_TEMPERATURE, LLM_REQUEST_TOP_P, LLM_TOKEN_TYPE).
Move these to the OtelAttr enum with their well-known gen_ai.* string values
and update all references in observability.py and tests.
Fixes https://github.com/microsoft/agent-framework/issues/4160
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Flatten text-only message content to string for all roles
Extend the system/developer fix to all message roles. Text-only content
lists are now post-processed into plain strings, while multimodal content
(text + images/audio) remains as a list. This fixes compatibility with
OpenAI-like endpoints that cannot deserialize list content (e.g. Foundry
Local's Neutron backend).
Partially fixes https://github.com/microsoft/agent-framework/issues/4084
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix streaming text lost when usage data in same chunk
Some providers (e.g. Gemini) include both usage data and text content
in the same streaming chunk. The early return on chunk.usage caused
text and tool call parsing to be skipped entirely. Remove the early
return and process usage alongside text/tool calls.
Fixes https://github.com/microsoft/agent-framework/issues/3434
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix mypy errors in _chat_client.py
Rename shadowed variable 'args' in system/developer branch to 'sys_args'
and rename loop variable 'content' to 'msg_content' to avoid type conflict.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* reorder imports
* fix: Use OtelAttr.REQUEST_MODEL instead of removed SpanAttributes.LLM_REQUEST_MODEL
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* docs: Add score_threshold to vector store plan
Reference SK .NET PR #13501 for score threshold filtering semantics.
Include score_threshold in SearchOptions from Phase 3.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* docs: Add reference to roji's SK .NET MEVD work for SQL connectors
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix: Clear env vars in construction tests to avoid CI leakage
Tests for missing API key / model ID now use monkeypatch.delenv to ensure
env vars from the integration test environment don't prevent the expected
ValueError from being raised.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg
·
2026-02-24 07:40:20 +00:00
* Updated merge test permissions
* Removed repo check
* Added fetch from main for comparison
* Updated path detection logic
* Small updates
* Reverted file rename
* Created dedicated workflows for integration tests
* Small fix for Python
* Small fixes
* Small update
* Small update
* Added tests check for Python
* python: replace pre-commit with prek, add PEP 723 script deps, clean up dev dependencies
- Replace pre-commit with prek (Rust-native, faster pre-commit alternative)
- Move supported hooks to repo: builtin for zero-clone speed
- Add new builtin hooks: trailing-whitespace, check-merge-conflict, detect-private-key, check-added-large-files
- Update all hook versions to latest (pre-commit-hooks v6, pyupgrade v3.21.2, bandit 1.9.3, uv-pre-commit 0.10.0)
- Add PEP 723 inline script metadata to 34 samples with external deps
- Remove autogen-agentchat/autogen-ext from dev deps (now declared per-sample)
- Remove unused dev deps: pytest-env, tomli-w
- Add agent-framework-core>=1.0.0b260130 lower bound to all 21 packages
- Update CI workflow to use j178/prek-action
- Update docs: DEV_SETUP.md, AGENTS.md, CODING_STANDARD.md, SAMPLE_GUIDELINES.md
* updated lock
* python: fix prek config paths for local execution and CI workflow
Remove global 'files: ^python/' filter and strip python/ prefix from all path patterns in .pre-commit-config.yaml so prek finds files when run from the python/ directory. Update CI workflow to use --cd python instead of --config path. Include trailing whitespace fixes and dev dependency cleanup.
* python: move helper scripts to scripts/ folder and exclude from checks
* python: exclude AGENTS.md from prek markdown code lint
* python: exclude AGENTS.md and azure_ai_search sample from markdown lint
* fix m365 sample
* python: ignore CPY rule for samples with PEP 723 headers
* fix in dev_setup
* python: replace aiofiles with regular open in samples
* python: suppress reportUnusedImport in markdown code block checker
* python: use samples pyright config for markdown code block checker
Write a temp pyrightconfig.json matching pyrightconfig.samples.json rules (typeCheckingMode=off, only reportMissingImports and reportAttributeAccessIssue). Filter output to only fail on these rules since syntax-level errors (top-level await, undefined vars) are expected in README documentation snippets.
* python: use markdown-code-lint with fixed globs instead of prek file list
The prek-markdown-code-lint task received all changed files including non-README markdown and files with pre-existing broken imports. Replace with the standard markdown-code-lint task which uses the correct glob patterns (README.md, packages/**/README.md, samples/**/*.md).
* python: exclude READMEs with pre-existing broken imports from markdown lint
* python: fix broken README code snippets instead of excluding them
- ag-ui: replace TextContent (removed) with content.type == 'text'
- durabletask: fix import path to durabletask.worker.TaskHubGrpcWorker
- orchestrations: use constructor params instead of .participants() method
- observability: mark deprecated code blocks as plain text, filter
reportMissingImports to agent_framework modules only
- remove README excludes from markdown-code-lint task
* add revision to gaia download
* feat(python): parallelize checks across packages
Run (package × task) cross-product in parallel using ThreadPoolExecutor
and subprocesses. Key changes:
- Add scripts/task_runner.py with shared parallel execution engine
- Update run_tasks_in_packages_if_exists.py to accept multiple tasks
- Update run_tasks_in_changed_packages.py with --files flag and parallel support
- Add check-packages poe task (fmt+lint+pyright+mypy in parallel)
- Add prek-markdown-code-lint and prek-samples-check with change detection
- Split CI code quality workflow into parallel prek and mypy jobs
- Update DEV_SETUP.md to document new parallel behavior
Core package changes still trigger checks on all packages.
* feat(ci): split code quality into 4 parallel jobs
Split the single prek job into parallel jobs:
- pre-commit-hooks: lightweight hooks (SKIP=poe-check)
- package-checks: fmt/lint/pyright/mypy via check-packages
- samples-markdown: samples-lint, samples-syntax, markdown-code-lint
- mypy: change-detected mypy checks
All 4 jobs run concurrently (×2 Python versions = 8 runners).
* feat(ci): use only Python 3.10 for code quality checks
* refactor(python): add future annotations and remove quoted types
Add `from __future__ import annotations` to 93 package files that
used quoted string annotations, then run pyupgrade --py310-plus to
remove the now-unnecessary quotes.
Fixes https://github.com/microsoft/agent-framework/issues/3578
Eduard van Valkenburg
·
2026-02-09 17:51:01 +00:00
* WIP
* big update to new ResponseStream model
* fixed tests and typing
* fixed tests and typing
* fixed tools typevar import
* fix
* mypy fix
* mypy fixes and some cleanup
* fix missing quoted names
* and client
* fix imports agui
* fix anthropic override
* fix agui
* fix ag ui
* fix import
* fix anthropic types
* fix mypy
* refactoring
* updated typing
* fix 3.11
* fixes
* redid layering of chat clients and agents
* redid layering of chat clients and agents
* Fix lint, type, and test issues after rebase
- Add @overload decorators to AgentProtocol.run() for type compatibility
- Add missing docstring params (middleware, function_invocation_configuration)
- Fix TODO format (TD002) by adding author tags
- Fix broken observability tests from upstream:
- Replace non-existent use_instrumentation with direct instantiation
- Replace non-existent use_agent_instrumentation with AgentTelemetryLayer mixin
- Fix get_streaming_response to use get_response(stream=True)
- Add AgentInitializationError import
- Update streaming exception tests to match actual behavior
* Fix AgentExecutionException import error in test_agents.py
- Replace non-existent AgentExecutionException with AgentRunException
* Fix test import and asyncio deprecation issues
- Add 'tests' to pythonpath in ag-ui pyproject.toml for utils_test_ag_ui import
- Replace deprecated asyncio.get_event_loop().run_until_complete with asyncio.run
* Fix azure-ai test failures
- Update _prepare_options patching to use correct class path
- Fix test_to_azure_ai_agent_tools_web_search_missing_connection to clear env vars
* Convert ag-ui utils_test_ag_ui.py to conftest.py
- Move test utilities to conftest.py for proper pytest discovery
- Update all test imports to use conftest instead of utils_test_ag_ui
- Remove old utils_test_ag_ui.py file
- Revert pythonpath change in pyproject.toml
* fix: use relative imports for ag-ui test utilities
* fix agui
* Rename Bare*Client to Raw*Client and BaseChatClient
- Renamed BareChatClient to BaseChatClient (abstract base class)
- Renamed BareOpenAIChatClient to RawOpenAIChatClient
- Renamed BareOpenAIResponsesClient to RawOpenAIResponsesClient
- Renamed BareAzureAIClient to RawAzureAIClient
- Added warning docstrings to Raw* classes about layer ordering
- Updated README in samples/getting_started/agents/custom with layer docs
- Added test for span ordering with function calling
* Fix layer ordering: FunctionInvocationLayer before ChatTelemetryLayer
This ensures each inner LLM call gets its own telemetry span, resulting in
the correct span sequence: chat -> execute_tool -> chat
Updated all production clients and test mocks to use correct ordering:
- ChatMiddlewareLayer (first)
- FunctionInvocationLayer (second)
- ChatTelemetryLayer (third)
- BaseChatClient/Raw...Client (fourth)
* Remove run_stream usage
* Fix conversation_id propagation
* Python: Add BaseAgent implementation for Claude Agent SDK (#3509)
* Added ClaudeAgent implementation
* Updated streaming logic
* Small updates
* Small update
* Fixes
* Small fix
* Naming improvements
* Updated imports
* Addressed comments
* Updated package versions
* Update Claude agent connector layering
* fix test and plugin
* Store function middleware in invocation layer
* Fix telemetry streaming and ag-ui tests
* Remove legacy ag-ui tests folder
* updates
* Remove terminate flag from FunctionInvocationContext, use MiddlewareTermination instead
- Remove terminate attribute from FunctionInvocationContext
- Add result attribute to MiddlewareTermination to carry function results
- FunctionMiddlewarePipeline.execute() now lets MiddlewareTermination propagate
- _auto_invoke_function captures context.result in exception before re-raising
- _try_execute_function_calls catches MiddlewareTermination and sets should_terminate
- Fix handoff middleware to append to chat_client.function_middleware directly
- Update tests to use raise MiddlewareTermination instead of context.terminate
- Add middleware flow documentation in samples/concepts/tools/README.md
- Fix ag-ui to use FunctionMiddlewarePipeline instead of removed create_function_middleware_pipeline
* fix: remove references to removed terminate flag in purview tests, add type ignore
* fix: move _test_utils.py from package to test folder
* fix: call get_final_response() to trigger context provider notification in streaming test
* fix: correct broken links in tools README
* docs: clarify default middleware behavior in summary table
* fix: ensure inner stream result hooks are called when using map()/from_awaitable()
* Fix mypy type errors
* Address PR review comments on observability.py
- Remove TODO comment about unconsumed streams, add explanatory note instead
- Remove redundant _close_span cleanup hook (already called in _finalize_stream)
- Clarify behavior: cleanup hooks run after stream iteration, if stream is not
consumed the span remains open until garbage collected
* Remove gen_ai.client.operation.duration from span attributes
Duration is a metrics-only attribute per OpenTelemetry semantic conventions.
It should be recorded to the histogram but not set as a span attribute.
* Remove duration from _get_response_attributes, pass directly to _capture_response
Duration is a metrics-only attribute. It's now passed directly to _capture_response
instead of being included in the attributes dict that gets set on the span.
* Remove redundant _close_span cleanup hook in AgentTelemetryLayer
_finalize_stream already calls _close_span() in its finally block,
so adding it as a separate cleanup hook is redundant.
* Use weakref.finalize to close span when stream is garbage collected
If a user creates a streaming response but never consumes it, the cleanup
hooks won't run. Now we register a weak reference finalizer that will close
the span when the stream object is garbage collected, ensuring spans don't
leak in this scenario.
* Fix _get_finalizers_from_stream to use _result_hooks attribute
Renamed function to _get_result_hooks_from_stream and fixed it to
look for the _result_hooks attribute which is the correct name in
ResponseStream class.
* Add missing asyncio import in test_request_info_mixin.py
* Fix leftover merge conflict marker in image_generation sample
* Update integration tests
* Fix integration tests: increase max_iterations from 1 to 2
Tests with tool_choice options require at least 2 iterations:
1. First iteration to get function call and execute the tool
2. Second iteration to get the final text response
With max_iterations=1, streaming tests would return early with only
the function call/result but no final text content.
* Fix duplicate function call error in conversation-based APIs
When using conversation_id (for Responses/Assistants APIs), the server
already has the function call message from the previous response. We
should only send the new function result message, not all messages
including the function call which would cause a duplicate ID error.
Fix: When conversation_id is set, only send the last message (the tool
result) instead of all response.messages.
* Add regression test for conversation_id propagation between tool iterations
Port test from PR #3664 with updates for new streaming API pattern.
Tests that conversation_id is properly updated in options dict during
function invocation loop iterations.
* Fix tool_choice=required to return after tool execution
When tool_choice is 'required', the user's intent is to force exactly one
tool call. After the tool executes, return immediately with the function
call and result - don't continue to call the model again.
This fixes integration tests that were failing with empty text responses
because with tool_choice=required, the model would keep returning function
calls instead of text.
Also adds regression tests for:
- conversation_id propagation between tool iterations (from PR #3664)
- tool_choice=required returns after tool execution
* Document tool_choice behavior in tools README
- Add table explaining tool_choice values (auto, none, required)
- Explain why tool_choice=required returns immediately after tool execution
- Add code example showing the difference between required and auto
- Update flow diagram to show the early return path for tool_choice=required
* Fix tool_choice=None behavior - don't default to 'auto'
Remove the hardcoded default of 'auto' for tool_choice in ChatAgent init.
When tool_choice is not specified (None), it will now not be sent to the
API, allowing the API's default behavior to be used.
Users who want tool_choice='auto' can still explicitly set it either in
default_options or at runtime.
Fixes#3585
* Fix tool_choice=none should not remove tools
In OpenAI Assistants client, tools were not being sent when
tool_choice='none'. This was incorrect - tool_choice='none' means
the model won't call tools, but tools should still be available
in the request (they may be used later in the conversation).
Fixes#3585
* Add test for tool_choice=none preserving tools
Adds a regression test to ensure that when tool_choice='none' is set but
tools are provided, the tools are still sent to the API. This verifies
the fix for #3585.
* Fix tool_choice=none should not remove tools in all clients
Apply the same fix to OpenAI Responses client and Azure AI client:
- OpenAI Responses: Remove else block that popped tool_choice/parallel_tool_calls
- Azure AI: Remove tool_choice != 'none' check when adding tools
When tool_choice='none', the model won't call tools, but tools should
still be sent to the API so they're available for future turns.
Also update README to clarify tool_choice=required supports multiple tools.
Fixes#3585
* Keep tool_choice even when tools is None
Move tool_choice processing outside of the 'if tools' block in OpenAI
Responses client so tool_choice is sent to the API even when no tools
are provided.
* Update test to match new parallel_tool_calls behavior
Changed test_prepare_options_removes_parallel_tool_calls_when_no_tools to
test_prepare_options_preserves_parallel_tool_calls_when_no_tools to reflect
that parallel_tool_calls is now preserved even when no tools are present,
consistent with the tool_choice behavior.
* Fix ChatMessage API and Role enum usage after rebase
- Update ChatMessage instantiation to use keyword args (role=, text=, contents=)
- Fix Role enum comparisons to use .value for string comparison
- Add created_at to AgentResponse in error handling
- Fix AgentResponse.from_updates -> from_agent_run_response_updates
- Fix DurableAgentStateMessage.from_chat_message to convert Role enum to string
- Add Role import where needed
* Fix additional ChatMessage API and method name changes
- Fix ChatMessage usage in workflow files (use text= instead of contents= for strings)
- Fix AgentResponse.from_updates -> from_agent_run_response_updates in workflow files
- Fix test files for ChatMessage and Role enum usage
* Fix remaining ChatMessage API usage in test files
* Fix more ChatMessage and Role API changes in source and test files
- Fix ChatMessage in _magentic.py replan method
- Fix Role enum comparison in test assertions
- Fix remaining test files with old ChatMessage syntax
* Fix ChatMessage and Role API changes across packages
- Add Role import where missing
- Fix ChatMessage signature: positional args to keyword args (role=, text=, contents=)
- Fix Role enum comparisons: .role.value instead of .role string
- Fix FinishReason enum usage in ag-ui event converters
- Rename AgentResponse.from_updates to from_agent_run_response_updates in ag-ui
Fixes API compatibility after Types API Review improvements merge
* Fix ChatMessage and Role API changes in github_copilot tests
* Fix ChatMessage and Role API changes in redis and github_copilot packages
- Fix redis provider: Role enum comparison using .value
- Fix redis tests: ChatMessage signature and Role comparisons
- Fix github_copilot tests: ChatMessage signature and Role comparisons
- Update docstring examples in redis chat message store
* Fix ChatMessage and Role API changes in devui package
- Fix executor: ChatMessage signature change
- Fix conversations: Role enum to string conversion in two places
- Fix tests: ChatMessage signatures and Role comparisons
* Fix ChatMessage and Role API changes in a2a and lab packages
- Fix a2a tests: Role comparisons and ChatMessage signatures
- Fix lab tau2 source: Role enum comparison in flip_messages, log_messages, sliding_window
- Fix lab tau2 tests: ChatMessage signatures and Role comparisons
* Remove duplicate test files from ag-ui/tests (tests are in ag_ui_tests)
* Fix ChatMessage and Role API changes across packages
After rebasing on upstream/main which merged PR #3647 (Types API Review
improvements), fix all packages to use the new API:
- ChatMessage: Use keyword args (role=, text=, contents=) instead of
positional args
- Role: Compare using .value attribute since it's now an enum
Packages fixed:
- ag-ui: Fixed Role value extraction bugs in _message_adapters.py
- anthropic: Fixed ChatMessage and Role comparisons in tests
- azure-ai: Fixed Role comparison in _client.py
- azure-ai-search: Fixed ChatMessage and Role in source/tests
- bedrock: Fixed ChatMessage signatures in tests
- chatkit: Fixed ChatMessage and Role in source/tests
- copilotstudio: Fixed ChatMessage and Role in tests
- declarative: Fixed ChatMessage in _executors_agents.py
- mem0: Fixed ChatMessage and Role in source/tests
- purview: Fixed ChatMessage in source/tests
* Fix mypy errors for ChatMessage and Role API changes
- durabletask: Use str() fallback in role value extraction
- core: Fix ChatMessage in _orchestrator_helpers.py to use keyword args
- core: Add type ignore for _conversation_state.py contents deserialization
- ag-ui: Fix type ignore comments (call-overload instead of arg-type)
- azure-ai-search: Fix get_role_value type hint to accept Any
- lab: Move get_role_value to module level with Any type hint
* Improve CI test timeout configuration
- Increase job timeout from 10 to 15 minutes
- Reduce per-test timeout to 60s (was 900s/300s)
- Add --timeout_method thread for better timeout handling
- Add --timeout-verbose to see which tests are slow
- Reduce retries from 3 to 2 and delay from 10s to 5s
This ensures individual test timeouts are shorter than the job
timeout, providing better visibility when tests hang.
With 60s timeout and 2 retries, worst case per test is ~180s.
* Fix ChatMessage API usage in docstrings and source
- Fix ChatMessage positional args in docstrings: _serialization.py, _threads.py, _middleware.py
- Fix ChatMessage in tau2 runner.py
- Fix role comparison in _orchestrator_helpers.py to use .value
- Fix role comparison in _group_chat.py docstring example
- Fix role assertions in test_durable_entities.py to use .value
* Revert tool_choice/parallel_tool_calls changes - must be removed when no tools
OpenAI API requires tool_choice and parallel_tool_calls to only be
present when tools are specified. Restored the logic that removes
these options when there are no tools.
- Restored check in _chat_client.py to remove tool_choice and
parallel_tool_calls when no tools present
- Restored same logic in _responses_client.py
- Reverted test to expect the correct behavior
* fixed issue in tests
* fix: resolve merge conflict markers in ag-ui tests
* fix: restructure ag-ui tests and fix Role/FinishReason to use string types
* fix: streaming function invocation and middleware termination
- Refactor streaming function invocation to use get_final_response() on inner streams
- Fix MiddlewareTermination to accept result parameter for passing results
- Fix _AutoHandoffMiddleware to use MiddlewareTermination instead of context.terminate
- Fix AgentMiddlewareLayer.run() to properly forward function/chat middleware
- Remove duplicate middleware registration in AgentMiddlewareLayer.__init__
- Fix exception handling in _auto_invoke_function to properly capture termination
- Fix mypy errors in core package
- Update tests to use stream=True parameter for unified run API
* fix all tests command
* Refactor integration tests to use pytest fixtures
- Merge testutils.py into conftest.py for azurefunctions integration tests
- Merge dt_testutils.py into conftest.py for durabletask integration tests
- Convert all integration tests to use fixtures instead of direct imports
(fixes ModuleNotFoundError with --import-mode=importlib)
- Add sample_helper fixture for azurefunctions tests
- Add agent_client_factory and orchestration_helper fixtures for durabletask
- Integration tests now skip with descriptive messages when services unavailable
- Restructure devui tests into tests/devui/ with proper conftest.py
- Add test organization guidelines to CODING_STANDARD.md
- Remove __init__.py from test directories per pytest best practices
* Fix pytest_collection_modifyitems to only skip integration tests
The hook was skipping all tests in the test session, not just
integration tests. Now it only skips items in the integration_tests
directory.
* Fix mem0 tests failing on Python 3.13
Use patch.object on the imported module instead of @patch with string
path to ensure the mock takes effect regardless of import timing.
* fix mem0
* another attempt for mem0
* fix for mem0
* fix mem0
* Increase worker initialization wait time in durabletask tests
Increase from 2 to 8 seconds to allow time for:
- Python startup and module imports
- Azure OpenAI client creation
- Agent registration with DTS worker
- Worker connection to DTS
This helps prevent test failures in CI where the first tests may run
before the worker is fully ready to process requests.
* Fix streaming test to use ResponseStream with finalizer
The _consume_stream method now expects a ResponseStream that can provide
a final AgentResponse via get_final_response(). Update the test to use
ResponseStream with AgentResponse.from_updates as the finalizer.
* Fix MockToolCallingAgent to use new ResponseStream API and update samples
* small updates to run_stream to run
* fix sub workflow
* temp fix for az func test
---------
Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
Eduard van Valkenburg
·
2026-02-05 20:09:58 +00:00
* Python: Add coverage threshold gate for PR checks (#3392)
- Add python-check-coverage.py script to enforce coverage threshold on specific modules
- Modify python-test-coverage.yml to run coverage check after tests
- Initial enforced module: agent_framework_azure_ai at 85% threshold
- Other modules are reported for visibility but don't block merges
* Fail if module not found
* Force unit test job to run
* Comment 1
* Fix coverage check to use full package paths for submodule support
* Update report format
* changed AIFunction to FunctionTool and @ai_function to @tool
* test and mypy fixes
* mypy fix
* switch function tool to always_require
* fix noop
* fix github copilot imports
* test fixes
* fix ollama test
* fixes for tests
* fix tests
* reverted change to always_require and extended timeout
* fix test
Eduard van Valkenburg
·
2026-01-28 14:53:53 +00:00
Eduard van Valkenburg ·
Tao Chen ·
dependabot[bot] ·
Evan Mattson ·
Roger Barreto ·
westey ·
Leo Yao ·
Chris ·
Dmytro Struk ·
Copilot ·
Laveesh Rohra ·
Jacob Alber ·
Chris Gillum ·
Mark Wallace ·
SergeyMenshykh ·