* Fix FoundryAgents_Step15_ComputerUse sample for Azure Agents API
The Azure Agents API rejects previous_response_id alongside computer_call_output
items, unlike the vanilla OpenAI Responses API. This fix:
- Send all prior response output items (reasoning, computer_call, etc.) as input
items in follow-up calls so the API has full conversation context
- Create a fresh session per call to avoid ConversationId/previous_response_id
- Use currentCallId instead of initialCallId for computer_call_output
- Clear ContinuationToken after polling to prevent stale tokens
- Remove unused initialCallId tracking variable
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address comments
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Initial plan
* Add Foundry evaluation samples for Red Teaming and Self-Reflection
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
* Refactor evaluation samples with real implementations in local functions
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
* Uncomment function signatures and bodies, keep only invocations commented
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
* Update Foundry evaluation samples with observability support
* Restructure evaluation samples to follow FoundryAgents naming convention
- Rename Evaluation/Evaluation_StepXX to FoundryAgents_Evaluations_StepXX
- Add evaluation projects to slnx
- Fix var usage, apply dotnet format, use DefaultAzureCredential
- Add try/finally for agent cleanup
- Fix evaluator deployment name separation in Step02
- Update README references
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Rewrite Step01 to use Azure.AI.Projects RedTeam API and address review comments
- Replace safety evaluator sample with actual Red Teaming using AIProjectClient.RedTeams
- Use AttackStrategy (Easy, Moderate, Jailbreak) and RiskCategory from Azure.AI.Projects
- Remove Microsoft.Extensions.AI.Evaluation.Safety dependency from Step01
- Add DefaultAzureCredential warning comments to Step02
- Remove unused bestResponse variable in Step02
- Add session isolation comments in self-reflection loop
- Fix stale directory references in READMEs
- Fix misleading evaluation overview link in main README
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add note about agent-targeted red teaming limitations in README
The .NET RedTeam API currently only supports model deployment targets
via AzureOpenAIModelConfiguration. Agent-targeted red teaming with
AzureAIAgentTarget is documented in concept docs but not yet available
in the SDK's RedTeam constructor. Results appear in classic portal view.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add classic Foundry disclaimer to red teaming sample README
Clarify that this sample uses the classic Azure AI Foundry red teaming
API (/redTeams/runs). The new Foundry portal uses a separate evaluation-
based API not yet available in the .NET SDK. AzureAIAgentTarget exists
in the SDK but is consumed by the Evaluation Taxonomy API, not RedTeam.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review comments on Step02 SelfReflection
- Pass full prompt (with context) to evaluator messages instead of just
the question, so evaluator input matches what the agent received
- Include previous response text in self-reflection refinement prompt
so the LLM can meaningfully improve its answer across iterations
- Inline CreateKnowledgeAgent helper (single use, single statement)
- Add comment clarifying why RunCombinedQualityAndSafetyEvaluation
intentionally passes only the question (no context)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* feat(workflows): Make telemetry opt-in via WithOpenTelemetry()
- Add WorkflowTelemetryOptions class with EnableSensitiveData property
- Add WorkflowTelemetryContext to manage ActivitySource lifecycle
- Add WithOpenTelemetry() extension method on WorkflowBuilder
- Update all workflow components to use telemetry context:
- WorkflowBuilder, Workflow, Executor
- InProcessRunnerContext, InProcessRunner
- LockstepRunEventStream, StreamingRunEventStream
- All edge runners (Direct, FanIn, FanOut, Response)
- Telemetry is now disabled by default
- Users must call WithOpenTelemetry() to enable spans/activities
BREAKING CHANGE: Workflow telemetry is now opt-in. Users who relied on
automatic telemetry must add .WithOpenTelemetry() to their workflow builder.
* refactor: Pass telemetry context as parameter instead of via interface
- Remove IWorkflowContextWithTelemetry interface
- Add internal ExecuteAsync overload that accepts WorkflowTelemetryContext
- Public ExecuteAsync delegates with WorkflowTelemetryContext.Disabled
- InProcessRunner passes TelemetryContext when calling ExecuteAsync
- BoundContext now implements IWorkflowContext (not the removed interface)
* Add optional ActivitySource parameter to WithOpenTelemetry
Allow users to provide their own ActivitySource when enabling telemetry,
giving them better control over the ActivitySource lifecycle. When not
provided, the framework creates one internally (existing behavior).
Changes:
- Add optional activitySource parameter to WithOpenTelemetry() extension
- Update WorkflowTelemetryContext to accept external ActivitySource
- Add unit test for user-provided ActivitySource scenario
* Add component-level telemetry control with disable flags
Allow users to selectively disable specific activity types via
WorkflowTelemetryOptions. All activities are enabled by default.
New disable flags:
- DisableWorkflowBuild: Disables workflow.build activities
- DisableWorkflowRun: Disables workflow_invoke activities
- DisableExecutorProcess: Disables executor.process activities
- DisableEdgeGroupProcess: Disables edge_group.process activities
- DisableMessageSend: Disables message.send activities
Added helper methods to WorkflowTelemetryContext for each activity type
and updated all activity creation sites to use them.
* Implement EnableSensitiveData to log executor input/output
When EnableSensitiveData is true in WorkflowTelemetryOptions, executor
input and output are logged as JSON-serialized attributes in the
executor.process activity.
New activity tags:
- executor.input: JSON serialized input message
- executor.output: JSON serialized output result (non-void only)
Added suppression attributes for AOT/trimming warnings since this is
an opt-in feature for debugging/diagnostics.
* Refactor activity start methods to centralize tagging logic
Move tagging logic into WorkflowTelemetryContext methods:
- StartExecutorProcessActivity now accepts executorId, executorType,
messageType, and message; sets all tags including executor.input
when EnableSensitiveData is true
- Added SetExecutorOutput method to set executor.output after execution
- StartMessageSendActivity now accepts sourceId, targetId, and message;
sets all tags including message.content when EnableSensitiveData is true
Simplified Executor.cs and InProcessRunnerContext.cs by removing
inline tagging code. Added message.content tag constant.
* Revert Python changes
* Update samples and code cleanup
* Fix file formatting
* Add comment
* Add telemetry configuration to declarative workflow
* Remove delays in tests
* Address comments
* Move AgentSession.Serialize to AIAgent
* Address PR comments.
* Improve code and fix unit test
* Update test agents to return a default json element instead of throwing where the the result of the serialization is never used.
* Update further tests to actually serialize the session
* Update to latest Azure.AI.*, OpenAI, and M.E.AI*
Absorb breaking changes in Responses surface area
* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs
* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs
* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs
* Update dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Using patch to remove the model is necessary, updated the response client to actually use the the ForAgent
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
* Upgrade to .NET 10
- Require .NET 10 SDK
- Include net10.0 assets in all assemblies
- Move net9.0-only targets to net10.0
- Update LangVersion to latest
- Remove complicated distinctions between debug target TFMs and release target TFMs
- Remove unnecessary package dependencies when built into netcoreapp
- Clean up some ifdefs
- Clean up some analyzer warnings
* Fix CI