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CopilotGitHubcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
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
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
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>

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-09 18:01:21 +00:00
Hasan GhomiandGitHub 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
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>

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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 HenryandGitHub 5e6eb6f121 New logo in banner (#6380) 2026-06-09 16:41:28 +00:00
Shawn HenryandGitHub dbfacbfc4a New Microsoft Agent Framework logos (#6378) 2026-06-09 15:56:56 +00:00
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
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>

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-09 13:06:00 +00:00
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
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
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>

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-09 07:37:11 +00:00
Yufeng HeandGitHub 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
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
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
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
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
westeyandGitHub 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 MattsonandGitHub 9bc7b27813 Match AG-UI approval responses to requested arguments (#6376) 2026-06-08 16:33:16 +00:00
westeyandGitHub 6a2efeae7c .NET: [BREAKING] Fix hosting bugs (#6388)
* Fix hosting bugs

* Address PR comments
2026-06-08 16:17:54 +00:00
Vedant SonaniandGitHub 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 IbekweandGitHub 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 HeandGitHub fa9e086576 fix: preserve foreach record values (#6208) 2026-06-05 22:01:59 +00:00
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
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
westeyandGitHub 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 ChenandGitHub 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
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
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
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
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
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 ChenandGitHub 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
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
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 HeandGitHub bc0e65d716 fix: drop hosted MCP calls when reasoning is stripped (#6210) 2026-06-04 18:11:24 +00:00
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
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
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 HeandGitHub 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 IbekweandGitHub c3901a4ddd Fix Observability/WorkflowAsAnAgent sampl (#6316) 2026-06-03 23:52:50 +00:00
Evan MattsonandGitHub ba617fc3b5 Don't count dependabot prs as part of the limit (#6317) 2026-06-04 08:31:36 +09:00
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
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 f31ed0ded9.

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
westeyandGitHub 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
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
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 IbekweandGitHub 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
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
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 DandGitHub 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
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
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 KunkanoorandGitHub 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 HeandGitHub 05ebb966cf fix: skip orphan anthropic thinking signatures (#5784) 2026-06-02 00:48:42 +00:00
Evan MattsonandGitHub c83a944e85 Fix open pr count check (#6255) 2026-06-02 09:09:36 +09:00
Thota Sai KarthikandGitHub 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
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
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
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
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
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
westeyandGitHub 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
344 changed files with 22910 additions and 2195 deletions
@@ -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
+28 -10
View File
@@ -8,6 +8,7 @@ function getPullRequest(context) {
return {
author: pullRequest.user.login,
authorType: pullRequest.user.type,
labels: pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [],
number: pullRequest.number,
};
@@ -49,6 +50,10 @@ function hasLabel(labels, labelName) {
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, @${author}.`,
@@ -63,24 +68,37 @@ function buildLimitMessage({ author, exemptLabelName, maxOpenPrs, openPrCount })
}
async function getOpenPrCount({ github, owner, repo, author, pullRequestNumber }) {
const query = `repo:${owner}/${repo} is:pr is:open author:${author}`;
const response = await github.rest.search.issuesAndPullRequests({
q: query,
const openPullRequests = await github.paginate(github.rest.pulls.list, {
owner,
repo,
state: 'open',
per_page: 100,
});
const indexedPrNumbers = response.data.items.map((item) => item.number);
const currentPrIsIndexed = indexedPrNumbers.includes(pullRequestNumber);
if (currentPrIsIndexed || response.data.total_count >= 100) {
return response.data.total_count;
}
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 response.data.total_count + 1;
return existingOpenPrCount + 1;
}
async function enforcePrLimit({ github, context, core, exemptLabelName, maxOpenPrs, labelName }) {
const { owner, repo } = context.repo;
const { author, labels, number } = getPullRequest(context);
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.`);
+83 -28
View File
@@ -16,7 +16,7 @@ const { enforcePrLimit } = require('../scripts/pr_limit_moderation.js');
// Helpers
// ---------------------------------------------------------------------------
function createContext({ author = 'community-user', labels = [], number = 123 } = {}) {
function createContext({ author = 'community-user', authorType = 'User', labels = [], number = 123 } = {}) {
return {
repo: {
owner: 'microsoft',
@@ -28,6 +28,7 @@ function createContext({ author = 'community-user', labels = [], number = 123 }
labels: labels.map((name) => ({ name })),
user: {
login: author,
type: authorType,
},
},
},
@@ -44,23 +45,20 @@ function createCore() {
};
}
function createGithub({ totalCount, itemNumbers, labelExists = true }) {
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: {
search: {
async issuesAndPullRequests(params) {
calls.push({ api: 'search.issuesAndPullRequests', params });
return {
data: {
total_count: totalCount,
items: itemNumbers.map((number) => ({ number })),
},
};
},
},
issues: {
async getLabel(params) {
calls.push({ api: 'issues.getLabel', params });
@@ -85,6 +83,10 @@ function createGithub({ totalCount, itemNumbers, labelExists = true }) {
},
},
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 } };
@@ -94,6 +96,15 @@ function createGithub({ totalCount, itemNumbers, labelExists = true }) {
};
}
function createPullRequestPage({ author = 'community-user', numbers }) {
return numbers.map((number) => ({
number,
user: {
login: author,
},
}));
}
// ---------------------------------------------------------------------------
// PR limit enforcement
@@ -102,7 +113,6 @@ function createGithub({ totalCount, itemNumbers, labelExists = true }) {
describe('PR limit enforcement', () => {
it('does not close the PR when the author is at the open PR limit', async () => {
const github = createGithub({
totalCount: 10,
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 123],
});
@@ -119,14 +129,13 @@ describe('PR limit enforcement', () => {
assert.equal(result.openPrCount, 10);
assert.deepEqual(
github.calls.map((call) => call.api),
['search.issuesAndPullRequests'],
['paginate'],
);
});
it('counts the new PR when search has not indexed it yet', async () => {
it('counts the new PR when the pull list includes it', async () => {
const github = createGithub({
totalCount: 10,
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
itemNumbers: [123, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
});
const result = await enforcePrLimit({
@@ -143,7 +152,7 @@ describe('PR limit enforcement', () => {
assert.deepEqual(
github.calls.map((call) => call.api),
[
'search.issuesAndPullRequests',
'paginate',
'issues.getLabel',
'issues.addLabels',
'issues.createComment',
@@ -152,9 +161,31 @@ describe('PR limit enforcement', () => {
);
});
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({
totalCount: 11,
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
labelExists: false,
});
@@ -172,7 +203,7 @@ describe('PR limit enforcement', () => {
assert.deepEqual(
github.calls.map((call) => call.api),
[
'search.issuesAndPullRequests',
'paginate',
'issues.getLabel',
'issues.createLabel',
'issues.addLabels',
@@ -188,7 +219,6 @@ describe('PR limit enforcement', () => {
it('tolerates a 422 race when creating the label', async () => {
const github = createGithub({
totalCount: 11,
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
labelExists: false,
});
@@ -212,7 +242,7 @@ describe('PR limit enforcement', () => {
assert.deepEqual(
github.calls.map((call) => call.api),
[
'search.issuesAndPullRequests',
'paginate',
'issues.getLabel',
'issues.createLabel',
'issues.addLabels',
@@ -224,8 +254,11 @@ describe('PR limit enforcement', () => {
it('uses a diplomatic close message with the configured limit', async () => {
const github = createGithub({
totalCount: 11,
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({
@@ -246,7 +279,6 @@ describe('PR limit enforcement', () => {
it('does not close an exempt PR when it is reopened', async () => {
const github = createGithub({
totalCount: 11,
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
});
@@ -265,10 +297,33 @@ describe('PR limit enforcement', () => {
assert.deepEqual(github.calls, []);
});
it('does not over-count when the current PR is not on the first search page', async () => {
it('does not close Dependabot PRs', async () => {
const github = createGithub({
totalCount: 101,
itemNumbers: Array.from({ length: 100 }, (_, index) => index + 1),
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({
@@ -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)) }}
@@ -365,6 +371,9 @@ 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 +461,9 @@ 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:
+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
+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:
@@ -23,7 +24,7 @@ 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: ${{ github.event.workflow_run.id }}
path: ./python
merge-multiple: true
@@ -38,9 +39,9 @@ jobs:
echo "PR number file 'pr_number' is missing or empty"
exit 1
fi
PR_NUMBER=$(head -1 pr_number | tr -dc '0-9')
if [ -z "$PR_NUMBER" ]; then
echo "PR number file 'pr_number' does not contain a valid PR number"
PR_NUMBER=$(cat pr_number)
if ! [[ "$PR_NUMBER" =~ ^[0-9]+$ ]]; then
echo "::error::PR number file contains invalid content"
exit 1
fi
echo "PR_NUMBER=$PR_NUMBER" >> "$GITHUB_ENV"
@@ -48,7 +49,7 @@ jobs:
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"
+1
View File
@@ -248,3 +248,4 @@ 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 – Microsoft’s 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 – Microsoft’s 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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+2 -2
View File
@@ -99,7 +99,7 @@
<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 +109,7 @@
<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" />
+3
View File
@@ -344,6 +344,9 @@
<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-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>
+3 -3
View File
@@ -1,14 +1,14 @@
<Project>
<PropertyGroup>
<!-- Central version prefix - applies to all nuget packages. -->
<VersionPrefix>1.8.0</VersionPrefix>
<VersionPrefix>1.9.0</VersionPrefix>
<RCNumber>1</RCNumber>
<DateSuffix>260528</DateSuffix>
<DateSuffix>260603</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>1.8.0</GitTag>
<GitTag>1.9.0</GitTag>
<Configurations>Debug;Release;Publish</Configurations>
<IsPackable>true</IsPackable>
@@ -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>
@@ -6,6 +6,7 @@
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<NoWarn>$(NoWarn);GHCP001</NoWarn>
</PropertyGroup>
<ItemGroup>
@@ -2,21 +2,22 @@
// This sample shows how to create a GitHub Copilot agent with shell command permissions.
using GitHub.Copilot.SDK;
using GitHub.Copilot;
using GitHub.Copilot.Rpc;
using Microsoft.Agents.AI;
// Permission handler that prompts the user for approval
static Task<PermissionRequestResult> PromptPermission(PermissionRequest request, PermissionInvocation invocation)
static Task<PermissionDecision> PromptPermission(PermissionRequest request, PermissionInvocation invocation)
{
Console.WriteLine($"\n[Permission Request: {request.Kind}]");
Console.Write("Approve? (y/n): ");
string? input = Console.ReadLine()?.Trim().ToUpperInvariant();
PermissionRequestResultKind kind = input is "Y" or "YES"
? PermissionRequestResultKind.Approved
: PermissionRequestResultKind.Rejected;
PermissionDecision decision = input is "Y" or "YES"
? PermissionDecision.ApproveOnce()
: PermissionDecision.Reject();
return Task.FromResult(new PermissionRequestResult { Kind = kind });
return Task.FromResult(decision);
}
// Create and start a Copilot client
@@ -36,7 +36,7 @@ dotnet run
You can customize the agent by providing additional configuration:
```csharp
using GitHub.Copilot.SDK;
using GitHub.Copilot;
using Microsoft.Agents.AI;
// Create and start a Copilot client
@@ -79,8 +79,10 @@ AIAgent agent =
.GetProjectOpenAIClient()
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
.AsHarnessAgent(new HarnessAgentOptions
{
MaxContextWindowTokens = MaxContextWindowTokens,
MaxOutputTokens = MaxOutputTokens,
Name = "ResearchAgent",
Description = "A research assistant that plans and executes research tasks.",
DisableFileAccess = true, // If enabled, this would allow the agent to read/write files in a working directory
@@ -44,8 +44,10 @@ AIAgent webSearchAgent =
.GetProjectOpenAIClient()
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
.AsHarnessAgent(new HarnessAgentOptions
{
MaxContextWindowTokens = MaxContextWindowTokens,
MaxOutputTokens = MaxOutputTokens,
Name = "WebSearchAgent",
Description = "An agent that can search the web to find information.",
OpenTelemetrySourceName = TracingSourceName,
@@ -92,8 +94,10 @@ AIAgent parentAgent =
.GetProjectOpenAIClient()
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
.AsHarnessAgent(new HarnessAgentOptions
{
MaxContextWindowTokens = MaxContextWindowTokens,
MaxOutputTokens = MaxOutputTokens,
Name = "StockPriceResearcher",
Description = "An agent that researches stock prices using background agents.",
OpenTelemetrySourceName = TracingSourceName,
@@ -68,8 +68,10 @@ AIAgent agent =
.GetProjectOpenAIClient()
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
.AsHarnessAgent(new HarnessAgentOptions
{
MaxContextWindowTokens = MaxContextWindowTokens,
MaxOutputTokens = MaxOutputTokens,
Name = "DataAnalyst",
Description = "A data analyst assistant that reads, analyzes, and processes data files.",
OpenTelemetrySourceName = TracingSourceName,
@@ -89,8 +89,10 @@ AIAgent agent =
.GetProjectOpenAIClient()
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
.AsHarnessAgent(new HarnessAgentOptions
{
MaxContextWindowTokens = MaxContextWindowTokens,
MaxOutputTokens = MaxOutputTokens,
Name = "CodeExecutionAgent",
Description = "A technical assistant with sandboxed code execution and skill-based workflows.",
OpenTelemetrySourceName = TracingSourceName,
@@ -50,12 +50,16 @@ internal static partial class WorkflowHelper
/// <summary>
/// Executor that starts the concurrent processing by sending messages to the agents.
/// </summary>
private sealed partial class ConcurrentStartExecutor() : Executor("ConcurrentStartExecutor")
[SendsMessage(typeof(List<ChatMessage>))]
[SendsMessage(typeof(TurnToken))]
private sealed partial class ConcurrentStartExecutor()
: Executor("ConcurrentStartExecutor", declareCrossRunShareable: true), IResettableExecutor
{
[MessageHandler]
internal ValueTask RouteMessages(List<ChatMessage> messages, IWorkflowContext context, CancellationToken cancellationToken)
internal ValueTask RouteMessages(IEnumerable<ChatMessage> messages, IWorkflowContext context, CancellationToken cancellationToken)
{
return context.SendMessageAsync(messages, cancellationToken: cancellationToken);
List<ChatMessage> payload = messages as List<ChatMessage> ?? messages.ToList();
return context.SendMessageAsync(payload, cancellationToken: cancellationToken);
}
[MessageHandler]
@@ -63,13 +67,16 @@ internal static partial class WorkflowHelper
{
return context.SendMessageAsync(token, cancellationToken: cancellationToken);
}
public ValueTask ResetAsync() => default;
}
/// <summary>
/// Executor that aggregates the results from the concurrent agents.
/// </summary>
[YieldsOutput(typeof(List<ChatMessage>))]
private sealed partial class ConcurrentAggregationExecutor() : Executor<List<ChatMessage>>("ConcurrentAggregationExecutor")
[YieldsOutput(typeof(string))]
private sealed partial class ConcurrentAggregationExecutor() :
Executor<List<ChatMessage>>("ConcurrentAggregationExecutor"), IResettableExecutor
{
private readonly List<ChatMessage> _messages = [];
@@ -90,5 +97,11 @@ internal static partial class WorkflowHelper
await context.YieldOutputAsync(formattedMessages, cancellationToken);
}
}
public ValueTask ResetAsync()
{
this._messages.Clear();
return default;
}
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,12 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>",
"REDIS_CONNECTION_STRING": "localhost:6379",
"REDIS_STREAM_TTL_MINUTES": "10"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -1,8 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
}
}
@@ -71,6 +71,34 @@ curl -X POST http://localhost:8088/invocations \
-d "Hello from Docker!"
```
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-invocations-echo-agent && cd hosted-invocations-echo-agent
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/invocations/Hosted-Invocations-EchoAgent/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-invocations-echo-agent
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `Hosted-Invocations-EchoAgent.csproj` for the `PackageReference` alternative.
@@ -107,3 +107,29 @@ azd env set SKILL_NAMES "support-style,escalation-policy"
The deployed agent's Managed Identity needs **Azure AI User** on the Foundry project to download skills at startup.
> The `skills/` source folder is **not** deployed to Foundry — only the downloaded skills are used at runtime. The provisioning step must have been run against the same Foundry project before the agent can download the skills.
### Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-agent-skills && cd hosted-agent-skills
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-agent-skills
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
@@ -174,6 +174,34 @@ The model receives the top three search results as additional context and cites
Replace the seed documents (or point the sample at an existing index with your own content) to ground the agent in your own knowledge base.
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-azure-search-rag && cd hosted-azure-search-rag
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-azure-search-rag
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedAzureSearchRag.csproj` for the `PackageReference` alternative.
@@ -104,6 +104,32 @@ curl -X POST http://localhost:8088/responses \
-d '{"input": "Hello!", "model": "hosted-chat-client-agent"}'
```
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-chat-client-agent && cd hosted-chat-client-agent
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-chat-client-agent
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
## NuGet package users
If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor` — it performs a full `dotnet restore` and `dotnet publish` inside the container. See the commented section in `HostedChatClientAgent.csproj` for the `PackageReference` alternative.
@@ -112,6 +112,34 @@ docker run --rm -p 8088:8088 \
The bundled `resources/` folder is part of the published output and ships inside the image.
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-files && cd hosted-files
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Files/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-files
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
If consuming the Agent Framework as a NuGet package, use the standard `Dockerfile` instead of `Dockerfile.contributor` and switch the `ProjectReference` entries in `HostedFiles.csproj` to `PackageReference` (commented section in the csproj).
@@ -107,6 +107,32 @@ curl -X POST http://localhost:8088/responses \
-d '{"input": "Hello!", "model": "<your-agent-name>"}'
```
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-foundry-agent && cd hosted-foundry-agent
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-foundry-agent
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
## NuGet package users
If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor` — it performs a full `dotnet restore` and `dotnet publish` inside the container. See the commented section in `HostedFoundryAgent.csproj` for the `PackageReference` alternative.
@@ -108,6 +108,34 @@ The agent has a single tool `GetAvailableHotels` defined as a C# method with `[D
The tool searches a mock database of 6 Seattle hotels and returns formatted results with name, location, rating, and pricing.
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-local-tools && cd hosted-local-tools
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-local-tools
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedLocalTools.csproj` for the `PackageReference` alternative.
@@ -13,7 +13,7 @@
<ItemGroup>
<PackageReference Include="Azure.AI.Projects" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="ModelContextProtocol" VersionOverride="1.2.0" />
<PackageReference Include="ModelContextProtocol" />
<PackageReference Include="DotNetEnv" />
</ItemGroup>
@@ -78,6 +78,34 @@ docker run --rm -p 8088:8088 \
hosted-mcp-tools
```
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir mcp-tools && cd mcp-tools
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME mcp-tools
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
Use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedMcpTools.csproj` for the `PackageReference` alternative.
@@ -139,6 +139,34 @@ The script publishes the project, builds the image, runs the container with two
`HOSTED_USER_ISOLATION_KEY` values, drives a multi-turn conversation per user, asserts that each
user only sees their own memories, and exits non-zero on failure.
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-memory-agent && cd hosted-memory-agent
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-MemoryAgent/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-memory-agent
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
If you are consuming the Agent Framework as a NuGet package (not building from source), use the
@@ -104,6 +104,34 @@ docker run --rm -p 8088:8088 \
Once deployed, telemetry flows to the Application Insights instance attached to your Foundry project. In the Foundry UI, the **Traces** tab next to **Playground** lists conversations and lets you drill into the span tree for any request.
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-observability && cd hosted-observability
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-observability
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
If consuming the Agent Framework as a NuGet package, use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedObservability.csproj` for the `PackageReference` alternative.
@@ -111,6 +111,34 @@ The `TextSearchProvider` runs a mock search **before each model invocation**:
The model receives the search results as additional context and cites the source in its response. In production, replace `MockSearchAsync` with a call to Azure AI Search or your preferred search provider.
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-text-rag && cd hosted-text-rag
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-TextRag/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-text-rag
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedTextRag.csproj` for the `PackageReference` alternative.
@@ -0,0 +1,6 @@
AZURE_AI_PROJECT_ENDPOINT=<your-azure-ai-project-endpoint>
ASPNETCORE_URLS=http://+:8088
ASPNETCORE_ENVIRONMENT=Development
AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-5
FOUNDRY_TOOLBOX_NAME=<your-toolbox-name>
AZURE_BEARER_TOKEN=DefaultAzureCredential
@@ -0,0 +1,26 @@
# Dockerfile for end-users consuming the Agent Framework via NuGet packages.
#
# This Dockerfile performs a full `dotnet restore` and `dotnet publish` inside the container,
# which only succeeds when the project references its dependencies via PackageReference (see the
# commented-out section in HostedToolboxMcpSkills.csproj). Contributors building from the
# agent-framework repository source must use Dockerfile.contributor instead because
# ProjectReference dependencies live outside this folder and cannot be restored from inside
# this build context.
#
# Use the official .NET 10.0 ASP.NET runtime as a parent image
FROM mcr.microsoft.com/dotnet/aspnet:10.0 AS base
WORKDIR /app
FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build
WORKDIR /src
COPY . .
RUN dotnet restore
RUN dotnet publish -c Release -o /app/publish
# Final stage
FROM base AS final
WORKDIR /app
COPY --from=build /app/publish .
EXPOSE 8088
ENV ASPNETCORE_URLS=http://+:8088
ENTRYPOINT ["dotnet", "HostedToolboxMcpSkills.dll"]
@@ -0,0 +1,18 @@
# Dockerfile for contributors building from the agent-framework repository source.
#
# This project uses ProjectReference to the local source, which means a standard
# multi-stage Docker build cannot resolve dependencies outside this folder.
# Pre-publish the app targeting the container runtime and copy the output:
#
# dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
# docker build -f Dockerfile.contributor -t hosted-toolbox-mcp-skills .
# docker run --rm -p 8088:8088 -e AGENT_NAME=hosted-toolbox-mcp-skills -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN --env-file .env hosted-toolbox-mcp-skills
#
# For end-users consuming the NuGet package (not ProjectReference), use the standard
# Dockerfile which performs a full dotnet restore + publish inside the container.
FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final
WORKDIR /app
COPY out/ .
EXPOSE 8088
ENV ASPNETCORE_URLS=http://+:8088
ENTRYPOINT ["dotnet", "HostedToolboxMcpSkills.dll"]
@@ -0,0 +1,36 @@
<Project Sdk="Microsoft.NET.Sdk.Web">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<CentralPackageTransitivePinningEnabled>false</CentralPackageTransitivePinningEnabled>
<RootNamespace>HostedToolboxMcpSkills</RootNamespace>
<AssemblyName>HostedToolboxMcpSkills</AssemblyName>
<NoWarn>$(NoWarn);</NoWarn>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.Projects" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="ModelContextProtocol" VersionOverride="1.2.0" />
<PackageReference Include="DotNetEnv" />
</ItemGroup>
<!-- For contributors: uses ProjectReference to build against local source -->
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Mcp\Microsoft.Agents.AI.Mcp.csproj" />
<ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
</ItemGroup>
<!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
<PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
<PackageReference Include="Microsoft.Agents.AI.Mcp" Version="1.6.1-preview.260514.1" />
</ItemGroup>
-->
</Project>
@@ -0,0 +1,109 @@
// Copyright (c) Microsoft. All rights reserved.
// Hosted Toolbox MCP Skills Agent
//
// Demonstrates how to host an agent that discovers MCP-based skills from a
// Foundry Toolbox MCP endpoint and injects them as AIContextProviders using
// AgentSkillsProviderBuilder.UseMcpSkills().
//
// Required environment variables:
// AZURE_AI_PROJECT_ENDPOINT - Azure AI Foundry project endpoint
// FOUNDRY_TOOLBOX_NAME - Name of the Foundry Toolbox to connect to
// AZURE_AI_MODEL_DEPLOYMENT_NAME - Model deployment name (default: gpt-5)
using System.Net.Http.Headers;
using Azure.AI.Projects;
using Azure.Core;
using Azure.Identity;
using DotNetEnv;
using Hosted_Shared_Contributor_Setup;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Foundry.Hosting;
using ModelContextProtocol.Client;
// Load .env file if present (for local development)
Env.TraversePath().Load();
var projectEndpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var deployment = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5";
var toolboxName = Environment.GetEnvironmentVariable("FOUNDRY_TOOLBOX_NAME")
?? throw new InvalidOperationException("FOUNDRY_TOOLBOX_NAME is not set.");
// Build the Toolbox MCP URL from the project endpoint and toolbox name.
var toolboxMcpServerUrl = $"{projectEndpoint.TrimEnd('/')}/toolboxes/{toolboxName}/mcp?api-version=v1";
// Use a chained credential: try a temporary dev token first (for local Docker debugging),
// then fall back to DefaultAzureCredential (for local dev via dotnet run / managed identity in production).
TokenCredential credential = new ChainedTokenCredential(
new DevTemporaryTokenCredential(),
new DefaultAzureCredential());
// ── Connect to the Foundry Toolbox MCP endpoint ─────────────────────────────
// Create an HttpClient that attaches a fresh Foundry bearer token to every request.
using var httpClient = new HttpClient(new BearerTokenHandler(credential, "https://ai.azure.com/.default") { CheckCertificateRevocationList = true });
Console.WriteLine($"Connecting to Foundry Toolbox '{toolboxName}' MCP server...");
await using var mcpClient = await McpClient.CreateAsync(
new HttpClientTransport(
new HttpClientTransportOptions
{
Endpoint = new Uri(toolboxMcpServerUrl),
Name = toolboxName,
TransportMode = HttpTransportMode.StreamableHttp,
AdditionalHeaders = new Dictionary<string, string>
{
["Foundry-Features"] = "Toolboxes=V1Preview",
},
},
httpClient));
// ── Configure MCP-based skills provider ──────────────────────────────────────
var skillsProvider = new AgentSkillsProviderBuilder()
.UseMcpSkills(mcpClient)
.Build();
// ── Create the agent ─────────────────────────────────────────────────────────
AIAgent agent = new AIProjectClient(new Uri(projectEndpoint), credential)
.AsAIAgent(new ChatClientAgentOptions
{
Name = Environment.GetEnvironmentVariable("AGENT_NAME") ?? "hosted-toolbox-mcp-skills",
Description = "Hosted agent with MCP skills discovered from a Foundry Toolbox",
ChatOptions = new()
{
ModelId = deployment,
Instructions = "You are a helpful assistant.",
},
AIContextProviders = [skillsProvider],
});
// ── Build the host ───────────────────────────────────────────────────────────
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddFoundryResponses(agent);
builder.Services.AddDevTemporaryLocalContributorSetup(); // Local Docker debugging only - must not be used in production.
var app = builder.Build();
app.MapFoundryResponses();
// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
app.MapDevTemporaryLocalAgentEndpoint();
app.Run();
// ---------------------------------------------------------------------------
// HttpClientHandler: attaches a fresh Foundry bearer token to every request
// ---------------------------------------------------------------------------
internal sealed class BearerTokenHandler(TokenCredential credential, string scope) : HttpClientHandler
{
private readonly TokenRequestContext _tokenContext = new([scope]);
protected override async Task<HttpResponseMessage> SendAsync(HttpRequestMessage request, CancellationToken cancellationToken)
{
AccessToken token = await credential.GetTokenAsync(this._tokenContext, cancellationToken).ConfigureAwait(false);
request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", token.Token);
return await base.SendAsync(request, cancellationToken).ConfigureAwait(false);
}
}
@@ -0,0 +1,131 @@
# Hosted-ToolboxMcpSkills
A hosted agent that discovers **MCP-based skills from a Foundry Toolbox** and makes them available to the agent using `AgentSkillsProviderBuilder.UseMcpSkills(mcpClient)`.
The `AgentSkillsProvider` is attached to the agent as a context provider and implements the [Agent Skills](https://agentskills.io/) progressive-disclosure pattern. When the agent is prompted, it discovers available skills in the Foundry Toolbox via the provider:
1. **Advertise** - skill names and descriptions are injected into the system prompt so the agent knows what is available.
2. **Load** - when the agent decides a skill is relevant, it retrieves the full skill body with detailed instructions via the provider.
3. **Read resources** - if a skill includes supplementary content (reference documents, assets), the agent reads them on demand via the provider.
This way the full skill body and resources are only loaded when the agent actually needs them, reducing token usage.
## Prerequisites
- [.NET 10 SDK](https://dotnet.microsoft.com/download/dotnet/10.0)
- An Azure AI Foundry project with a deployed model (e.g., `gpt-5`)
- A Foundry Toolbox already configured with skills provisioned
- Azure CLI logged in (`az login`)
## Configuration
Copy the template and fill in your values:
```bash
cp .env.example .env
```
Edit `.env` and set your Azure AI Foundry project endpoint and toolbox name:
```env
AZURE_AI_PROJECT_ENDPOINT=https://<your-account>.services.ai.azure.com/api/projects/<your-project>
ASPNETCORE_URLS=http://+:8088
ASPNETCORE_ENVIRONMENT=Development
AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-5
FOUNDRY_TOOLBOX_NAME=my-toolbox
```
> **Note:** `.env` is gitignored. The `.env.example` template is checked in as a reference.
## Running directly (contributors)
This project uses `ProjectReference` to build against the local Agent Framework source.
```bash
cd dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills
dotnet run
```
The agent will start on `http://localhost:8088`.
### Test it
Using the Azure Developer CLI:
```bash
azd ai agent invoke --local "What skills do you have available?"
```
## Running with Docker
Since this project uses `ProjectReference`, use `Dockerfile.contributor` which takes a pre-published output.
### 1. Publish for the container runtime (Linux Alpine)
```bash
dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
```
### 2. Build the Docker image
```bash
docker build -f Dockerfile.contributor -t hosted-toolbox-mcp-skills .
```
### 3. Run the container
Generate a bearer token on your host and pass it to the container:
```bash
# Generate token (expires in ~1 hour)
export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
# Run with token
docker run --rm -p 8088:8088 \
-e AGENT_NAME=hosted-toolbox-mcp-skills \
-e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN \
--env-file .env \
hosted-toolbox-mcp-skills
```
> **Note:** `AGENT_NAME` is passed via `-e` to simulate the platform injection. `AZURE_BEARER_TOKEN` provides Azure credentials to the container (tokens expire after ~1 hour). The `.env` file provides the remaining configuration.
### 4. Test it
Using the Azure Developer CLI:
```bash
azd ai agent invoke --local "What skills do you have available?"
```
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-toolbox-mcp-skills && cd hosted-toolbox-mcp-skills
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-toolbox-mcp-skills
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-5
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedToolboxMcpSkills.csproj` for the `PackageReference` alternative.
@@ -0,0 +1,43 @@
# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/AgentManifest.yaml
name: hosted-toolbox-mcp-skills
displayName: "Hosted Toolbox MCP Skills Agent"
description: >
A hosted agent that discovers MCP-based skills from a Foundry Toolbox
and makes them available to the agent via the agent skills provider.
metadata:
tags:
- AI Agent Hosting
- Azure AI AgentServer
- Responses Protocol
- Agent Framework
- MCP
- Model Context Protocol
- Agent Skills
- Foundry Toolbox
- Foundry Toolbox Skills
template:
name: hosted-toolbox-mcp-skills
kind: hosted
protocols:
- protocol: responses
version: 1.0.0
resources:
cpu: "0.25"
memory: 0.5Gi
environment_variables:
- name: AZURE_AI_MODEL_DEPLOYMENT_NAME
value: "{{AZURE_AI_MODEL_DEPLOYMENT_NAME}}"
- name: FOUNDRY_TOOLBOX_NAME
value: "{{FOUNDRY_TOOLBOX_NAME}}"
parameters:
properties:
- name: FOUNDRY_TOOLBOX_NAME
secret: false
description: Name of the Foundry Toolbox to connect to for MCP skill discovery
resources:
- kind: model
id: gpt-5
name: AZURE_AI_MODEL_DEPLOYMENT_NAME
@@ -0,0 +1,14 @@
# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/ContainerAgent.yaml
kind: hosted
name: hosted-toolbox-mcp-skills
protocols:
- protocol: responses
version: 1.0.0
resources:
cpu: "0.25"
memory: 0.5Gi
environment_variables:
- name: AZURE_AI_MODEL_DEPLOYMENT_NAME
value: ${AZURE_AI_MODEL_DEPLOYMENT_NAME}
- name: FOUNDRY_TOOLBOX_NAME
value: ${FOUNDRY_TOOLBOX_NAME}
@@ -121,6 +121,34 @@ User message
The triage agent receives every message and hands off to the appropriate specialist. Specialists route back to the triage agent after responding, allowing for multi-turn conversations.
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir triage-workflow && cd triage-workflow
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Handoff/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME triage-workflow
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
Use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedWorkflowHandoff.csproj` for the `PackageReference` alternative.
@@ -5,7 +5,7 @@ A hosted agent that demonstrates **multi-agent workflow orchestration**. Three t
## Prerequisites
- [.NET 10 SDK](https://dotnet.microsoft.com/download/dotnet/10.0)
- An Azure AI Foundry project with a deployed model (e.g., `gpt-4o`)
- An Azure AI Foundry project with a deployed model (e.g., `hosted-workflow-simple`)
- Azure CLI logged in (`az login`)
## Configuration
@@ -22,7 +22,7 @@ Edit `.env` and set your Azure AI Foundry project endpoint:
AZURE_AI_PROJECT_ENDPOINT=https://<your-account>.services.ai.azure.com/api/projects/<your-project>
ASPNETCORE_URLS=http://+:8088
ASPNETCORE_ENVIRONMENT=Development
AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o
AZURE_AI_MODEL_DEPLOYMENT_NAME=hosted-workflow-simple
```
> **Note:** `.env` is gitignored. The `.env.example` template is checked in as a reference.
@@ -104,6 +104,34 @@ Input text
Each agent in the chain receives the output of the previous agent. The final result demonstrates how meaning is preserved (or subtly shifted) through multiple translation hops.
## Deploying to Foundry (azd spec)
This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
Initialize an `azd` project from this sample's manifest:
```bash
mkdir hosted-workflows && cd hosted-workflows
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Simple/agent.manifest.yaml
```
Then deploy:
```bash
azd deploy
```
If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
```bash
azd env set AGENT_NAME hosted-workflow-simple
azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME hosted-workflow-simple
```
For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
---
## NuGet package users
Use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedWorkflowSimple.csproj` for the `PackageReference` alternative.
@@ -15,6 +15,7 @@
<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>
@@ -19,6 +19,11 @@ builder.Services.AddHttpClient().AddLogging();
builder.Services.ConfigureHttpJsonOptions(options => options.SerializerOptions.TypeInfoResolverChain.Add(AGUIDojoServerSerializerContext.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();
@@ -49,8 +49,9 @@ var agent = new AzureOpenAIClient(
AGUIServerSerializerContext.Default.Options)
]);
// When running in production, make sure to use an SessionIsolationKeyProvider, e.g. ClaimsIdentity-based
// if using Claims-based Identity for Authentication/Authorization
// 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 });
// Register the agent with the host and configure it to use an in-memory session store
@@ -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.AGUI\Microsoft.Agents.AI.AGUI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
@@ -12,6 +12,11 @@ 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"] ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
@@ -44,18 +44,33 @@ public static class HostedFoundryMemoryProviderScopes
session => new FoundryMemoryProvider.State(new FoundryMemoryProviderScope(GetRequiredHostedContext(session).ChatId));
/// <summary>
/// Returns a <c>stateInitializer</c> that scopes memories per (user, chat) pair, using
/// <c>"{UserId}:{ChatId}"</c> as the partition key. Use this when memories should be visible
/// only to the same user within the same conversation.
/// Returns a <c>stateInitializer</c> that scopes memories per (user, chat) pair, composing
/// <see cref="HostedSessionContext.UserId"/> and <see cref="HostedSessionContext.ChatId"/> into a
/// single delimiter-safe partition key. Use this when memories should be visible only to the same
/// user within the same conversation.
/// </summary>
/// <remarks>
/// Both identity values are opaque strings that may contain any characters, including the <c>:</c>
/// delimiter. To keep the composite key injective (so two distinct (user, chat) pairs can never
/// collide), each part is escaped (<c>\</c> becomes <c>\\</c>, then <c>:</c> becomes <c>\:</c>) before
/// being joined with a <c>::</c> separator.
/// </remarks>
/// <returns>A delegate suitable for the <c>stateInitializer</c> argument of <see cref="FoundryMemoryProvider"/>.</returns>
public static Func<AgentSession?, FoundryMemoryProvider.State> PerUserAndChat() =>
session =>
{
var ctx = GetRequiredHostedContext(session);
return new FoundryMemoryProvider.State(new FoundryMemoryProviderScope($"{ctx.UserId}:{ctx.ChatId}"));
return new FoundryMemoryProvider.State(
new FoundryMemoryProviderScope($"{EscapeScopePart(ctx.UserId)}::{EscapeScopePart(ctx.ChatId)}"));
};
/// <summary>
/// Escapes special characters in a scope part so that distinct (user, chat) pairs produce distinct
/// composite scope keys. Backslashes are escaped first (<c>\</c> becomes <c>\\</c>), then colons
/// (<c>:</c> becomes <c>\:</c>), ensuring the <c>{user}::{chat}</c> format is unambiguous.
/// </summary>
private static string EscapeScopePart(string part) => part.Replace("\\", "\\\\").Replace(":", "\\:");
private static HostedSessionContext GetRequiredHostedContext(AgentSession? session) =>
session?.GetHostedContext()
?? throw new InvalidOperationException(
@@ -281,14 +281,19 @@ internal static class OutputConverter
var outputText = EncodeFunctionResultAsJsonStringPayload(functionResult.Result);
var itemId = GenerateItemId("fc");
var outputItem = new OutputItemFunctionToolCallOutput(
// Use the SDK's convenience method so the OutputItemFunctionToolCallOutput
// is constructed with a populated Id. The public OutputItemFunctionToolCallOutput
// ctor only sets CallId/Output (Id is read-only), and AddOutputItem<T>+EmitAdded
// does not auto-stamp Id — only ResponseId/AgentReference. Without this, the
// serialized item arrives at the Foundry storage layer with id=null and is
// rejected with "ID cannot be null or empty (Parameter 'id')".
foreach (var evt in stream.OutputItemFunctionCallOutput(
functionResult.CallId,
BinaryData.FromString(outputText));
BinaryData.FromString(outputText)))
{
yield return evt;
}
var outputBuilder = stream.AddOutputItem<OutputItemFunctionToolCallOutput>(itemId);
yield return outputBuilder.EmitAdded(outputItem);
yield return outputBuilder.EmitDone(outputItem);
break;
}
@@ -24,11 +24,13 @@
<ItemGroup>
<PackageReference Include="Azure.AI.Projects" />
<PackageReference Include="Azure.Core" />
<PackageReference Include="Microsoft.Extensions.AI" />
<PackageReference Include="Microsoft.Extensions.AI.Abstractions" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Microsoft.Extensions.Compliance.Abstractions" />
<PackageReference Include="OpenAI" />
<PackageReference Include="System.ClientModel" />
</ItemGroup>
<!-- Evaluation support requires net8.0+ (MEAI.Evaluation does not support legacy TFMs) -->
@@ -6,7 +6,7 @@ using Microsoft.Agents.AI.GitHub.Copilot;
using Microsoft.Extensions.AI;
using Microsoft.Shared.Diagnostics;
namespace GitHub.Copilot.SDK;
namespace GitHub.Copilot;
/// <summary>
/// Provides extension methods for <see cref="CopilotClient"/>
@@ -9,7 +9,7 @@ using System.Text.Json;
using System.Threading;
using System.Threading.Channels;
using System.Threading.Tasks;
using GitHub.Copilot.SDK;
using GitHub.Copilot;
using Microsoft.Extensions.AI;
using Microsoft.Shared.Diagnostics;
@@ -169,7 +169,7 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
Channel<AgentResponseUpdate> channel = Channel.CreateUnbounded<AgentResponseUpdate>();
// Subscribe to session events
using IDisposable subscription = copilotSession.On(evt =>
using IDisposable subscription = copilotSession.On<SessionEvent>(evt =>
{
switch (evt)
{
@@ -210,7 +210,7 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
string prompt = string.Join("\n", messages.Select(m => m.Text));
// Handle DataContent as attachments
(List<UserMessageAttachmentFile>? attachments, tempDir) = await ProcessDataContentAttachmentsAsync(
(List<AttachmentFile>? attachments, tempDir) = await ProcessDataContentAttachmentsAsync(
messages,
cancellationToken).ConfigureAwait(false);
@@ -262,10 +262,7 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
private async Task EnsureClientStartedAsync(CancellationToken cancellationToken)
{
if (this._copilotClient.State != ConnectionState.Connected)
{
await this._copilotClient.StartAsync(cancellationToken).ConfigureAwait(false);
}
await this._copilotClient.StartAsync(cancellationToken).ConfigureAwait(false);
}
private ResumeSessionConfig CreateResumeConfig()
@@ -275,36 +272,18 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
/// <summary>
/// Copies all supported properties from a source <see cref="SessionConfig"/> into a new instance
/// with <see cref="SessionConfig.Streaming"/> set to <c>true</c>.
/// with <see cref="SessionConfigBase.Streaming"/> set to <c>true</c>.
/// </summary>
internal static SessionConfig CopySessionConfig(SessionConfig source)
{
return new SessionConfig
{
Model = source.Model,
ReasoningEffort = source.ReasoningEffort,
Tools = source.Tools,
SystemMessage = source.SystemMessage,
AvailableTools = source.AvailableTools,
ExcludedTools = source.ExcludedTools,
Provider = source.Provider,
OnPermissionRequest = source.OnPermissionRequest,
OnUserInputRequest = source.OnUserInputRequest,
Hooks = source.Hooks,
WorkingDirectory = source.WorkingDirectory,
ConfigDir = source.ConfigDir,
McpServers = source.McpServers,
CustomAgents = source.CustomAgents,
SkillDirectories = source.SkillDirectories,
DisabledSkills = source.DisabledSkills,
InfiniteSessions = source.InfiniteSessions,
Streaming = true
};
SessionConfig copy = source.Clone();
copy.Streaming = true;
return copy;
}
/// <summary>
/// Copies all supported properties from a source <see cref="SessionConfig"/> into a new
/// <see cref="ResumeSessionConfig"/> with <see cref="ResumeSessionConfig.Streaming"/> set to <c>true</c>.
/// <see cref="ResumeSessionConfig"/> with <see cref="SessionConfigBase.Streaming"/> set to <c>true</c>.
/// </summary>
internal static ResumeSessionConfig CopyResumeSessionConfig(SessionConfig? source)
{
@@ -321,7 +300,7 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
OnUserInputRequest = source?.OnUserInputRequest,
Hooks = source?.Hooks,
WorkingDirectory = source?.WorkingDirectory,
ConfigDir = source?.ConfigDir,
ConfigDirectory = source?.ConfigDirectory,
McpServers = source?.McpServers,
CustomAgents = source?.CustomAgents,
SkillDirectories = source?.SkillDirectories,
@@ -394,10 +373,10 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
AdditionalPropertiesDictionary<long>? additionalCounts = null;
if (usageEvent.Data.CacheWriteTokens is double cacheWriteTokens)
if (usageEvent.Data.CacheWriteTokens is long cacheWriteTokens)
{
additionalCounts ??= [];
additionalCounts[nameof(AssistantUsageData.CacheWriteTokens)] = (long)cacheWriteTokens;
additionalCounts[nameof(AssistantUsageData.CacheWriteTokens)] = cacheWriteTokens;
}
if (usageEvent.Data.Cost is double cost)
@@ -406,10 +385,10 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
additionalCounts[nameof(AssistantUsageData.Cost)] = (long)cost;
}
if (usageEvent.Data.Duration is double duration)
if (usageEvent.Data.Duration is TimeSpan duration)
{
additionalCounts ??= [];
additionalCounts[nameof(AssistantUsageData.Duration)] = (long)duration;
additionalCounts[nameof(AssistantUsageData.Duration)] = (long)duration.TotalMilliseconds;
}
return additionalCounts;
@@ -432,7 +411,7 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
private static SessionConfig? GetSessionConfig(IList<AITool>? tools, string? instructions)
{
List<AIFunction>? mappedTools = tools is { Count: > 0 } ? tools.OfType<AIFunction>().ToList() : null;
List<AIFunctionDeclaration>? mappedTools = tools is { Count: > 0 } ? tools.OfType<AIFunctionDeclaration>().ToList() : null;
SystemMessageConfig? systemMessage = instructions is not null ? new SystemMessageConfig { Mode = SystemMessageMode.Append, Content = instructions } : null;
if (mappedTools is null && systemMessage is null)
@@ -443,11 +422,11 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
return new SessionConfig { Tools = mappedTools, SystemMessage = systemMessage };
}
private static async Task<(List<UserMessageAttachmentFile>? Attachments, string? TempDir)> ProcessDataContentAttachmentsAsync(
private static async Task<(List<AttachmentFile>? Attachments, string? TempDir)> ProcessDataContentAttachmentsAsync(
IEnumerable<ChatMessage> messages,
CancellationToken cancellationToken)
{
List<UserMessageAttachmentFile>? attachments = null;
List<AttachmentFile>? attachments = null;
string? tempDir = null;
foreach (ChatMessage message in messages)
{
@@ -461,7 +440,7 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable
string tempFilePath = await dataContent.SaveToAsync(tempDir, cancellationToken).ConfigureAwait(false);
attachments ??= [];
attachments.Add(new UserMessageAttachmentFile
attachments.Add(new AttachmentFile
{
Path = tempFilePath,
DisplayName = Path.GetFileName(tempFilePath)
@@ -4,6 +4,7 @@
<VersionSuffix>preview</VersionSuffix>
<!-- GitHub.Copilot.SDK only supports .NET 8.0+ -->
<TargetFrameworks>$(TargetFrameworksCore)</TargetFrameworks>
<NoWarn>$(NoWarn);GHCP001</NoWarn>
</PropertyGroup>
<PropertyGroup>
@@ -1,7 +1,9 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Diagnostics.CodeAnalysis;
using Microsoft.Agents.AI;
using Microsoft.Extensions.Logging;
using Microsoft.Shared.DiagnosticIds;
namespace Microsoft.Extensions.AI;
@@ -14,29 +16,28 @@ public static class ChatClientHarnessExtensions
{
/// <summary>
/// Creates a new <see cref="HarnessAgent"/> that wraps this <see cref="IChatClient"/> with a pre-configured
/// pipeline including function invocation, per-service-call chat history persistence, and in-loop compaction.
/// pipeline including function invocation, per-service-call chat history persistence, optional in-loop compaction, and a rich set
/// of default context providers and agent decorators.
/// </summary>
/// <param name="chatClient">
/// The <see cref="IChatClient"/> that provides access to the underlying AI model.
/// </param>
/// <param name="maxContextWindowTokens">
/// The maximum number of tokens the model's context window supports (e.g., 1,050,000 for gpt-5.4).
/// Used to configure the compaction strategy.
/// </param>
/// <param name="maxOutputTokens">
/// The maximum number of output tokens the model can generate per response (e.g., 128,000 for gpt-5.4).
/// Used to configure the compaction strategy.
/// </param>
/// <param name="options">
/// Optional configuration options for the agent, including instructions override, tools,
/// additional context providers, and chat history provider.
/// When <see langword="null"/>, the agent uses built-in default settings.
/// additional context providers, chat history provider, and compaction settings.
/// When <see langword="null"/>, the agent uses built-in default settings with compaction disabled.
/// </param>
/// <param name="loggerFactory">
/// Optional logger factory for creating loggers used by the agent and its components.
/// </param>
/// <param name="services">
/// Optional service provider for resolving dependencies required by AI functions and other agent components.
/// </param>
/// <returns>A new <see cref="HarnessAgent"/> instance.</returns>
public static HarnessAgent AsHarnessAgent(
this IChatClient chatClient,
int maxContextWindowTokens,
int maxOutputTokens,
HarnessAgentOptions? options = null) =>
new(chatClient, maxContextWindowTokens, maxOutputTokens, options);
HarnessAgentOptions? options = null,
ILoggerFactory? loggerFactory = null,
IServiceProvider? services = null) =>
new(chatClient, options, loggerFactory, services);
}
@@ -10,6 +10,7 @@ using Microsoft.Agents.AI.Compaction;
using Microsoft.Agents.AI.Tools.Shell;
#endif
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Logging;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
@@ -17,50 +18,65 @@ namespace Microsoft.Agents.AI;
/// <summary>
/// A pre-configured <see cref="DelegatingAIAgent"/> that wraps a <see cref="ChatClientAgent"/> with
/// function invocation, per-service-call chat history persistence, in-loop compaction, and a rich set
/// function invocation, per-service-call chat history persistence, optional in-loop compaction, and a rich set
/// of default context providers and agent decorators.
/// </summary>
/// <remarks>
/// <para>
/// <see cref="HarnessAgent"/> assembles the following pipeline from a caller-supplied <see cref="IChatClient"/>:
/// <see cref="HarnessAgent"/> provides an opinionated, batteries-included agent suitable for
/// interactive agentic scenarios such as research, coding, data analysis, and general task automation.
/// It assembles a full pipeline from a caller-supplied <see cref="IChatClient"/> so that callers
/// only need to configure the parts they want to customize.
/// </para>
/// <para>
/// <strong>Chat client pipeline (inner to outer):</strong>
/// <list type="number">
/// <item><description><see cref="FunctionInvokingChatClient"/> — automatic function/tool invocation.</description></item>
/// <item><description><see cref="MessageInjectingChatClient"/> — allows external code to inject messages into the conversation mid-stream.</description></item>
/// <item><description><see cref="PerServiceCallChatHistoryPersistingChatClient"/> — persists chat history after every individual service call within a function-invocation loop.</description></item>
/// <item><description><see cref="AIContextProviderChatClient"/> with a <see cref="CompactionProvider"/> — applies context-window compaction before each call so long function-invocation loops do not overflow the context window.</description></item>
/// <item><description><see cref="FunctionInvokingChatClient"/> — automatic function/tool invocation with configurable iteration limits.</description></item>
/// <item><description><see cref="MessageInjectingChatClient"/> — allows external code to inject messages into the conversation mid-stream (e.g., for user interrupts).</description></item>
/// <item><description><see cref="PerServiceCallChatHistoryPersistingChatClient"/> — persists chat history after every individual service call within a function-invocation loop, enabling crash recovery and history inspection.</description></item>
/// <item><description><see cref="AIContextProviderChatClient"/> with a <see cref="CompactionProvider"/> — applies context-window compaction before each call so long function-invocation loops do not overflow the context window. Only included when <see cref="HarnessAgentOptions.MaxContextWindowTokens"/> and <see cref="HarnessAgentOptions.MaxOutputTokens"/> are both provided.</description></item>
/// </list>
/// </para>
/// <para>
/// By default, the following context providers are included (each can be disabled via <see cref="HarnessAgentOptions"/>):
/// <strong>Context providers (each enabled by default, individually disableable via <see cref="HarnessAgentOptions"/>):</strong>
/// <list type="bullet">
/// <item><description><see cref="TodoProvider"/> — todo list management.</description></item>
/// <item><description><see cref="AgentModeProvider"/> — agent mode tracking (plan/execute).</description></item>
/// <item><description><see cref="FileMemoryProvider"/> — file-based session memory.</description></item>
/// <item><description><see cref="FileAccessProvider"/> — shared file access.</description></item>
/// <item><description><see cref="AgentSkillsProvider"/> — skill discovery and loading.</description></item>
/// <item><description><see cref="TodoProvider"/> — persistent todo list that the agent uses to track multi-step plans. Disable with <see cref="HarnessAgentOptions.DisableTodoProvider"/>.</description></item>
/// <item><description><see cref="AgentModeProvider"/> — mode tracking (e.g., "plan" vs "execute") that the agent uses to structure its work. Disable with <see cref="HarnessAgentOptions.DisableAgentModeProvider"/>.</description></item>
/// <item><description><see cref="FileMemoryProvider"/> — file-based session memory allowing the agent to persist notes and artifacts across turns. Disable with <see cref="HarnessAgentOptions.DisableFileMemory"/>.</description></item>
/// <item><description><see cref="FileAccessProvider"/> — shared file access providing read/write tools for a working directory. Disable with <see cref="HarnessAgentOptions.DisableFileAccess"/>.</description></item>
/// <item><description><see cref="AgentSkillsProvider"/> — discovers and loads skill definitions from the file system, enabling dynamic tool sets. Disable with <see cref="HarnessAgentOptions.DisableAgentSkillsProvider"/>.</description></item>
/// </list>
/// </para>
/// <para>
/// The agent is also wrapped with the following decorators by default (each can be disabled):
/// <strong>Optional context providers (enabled via <see cref="HarnessAgentOptions"/>):</strong>
/// <list type="bullet">
/// <item><description><see cref="ToolApprovalAgent"/> — "don't ask again" tool approval rules.</description></item>
/// <item><description><see cref="OpenTelemetryAgent"/> — OpenTelemetry instrumentation.</description></item>
/// <item><description><see cref="BackgroundAgentsProvider"/> — enables delegation to background agents for parallel work. Enable by setting <see cref="HarnessAgentOptions.BackgroundAgents"/>.</description></item>
/// <item><description><c>ShellEnvironmentProvider</c> — injects OS/shell/CWD information and a shell execution tool. Enable by setting <c>HarnessAgentOptions.ShellExecutor</c> (.NET only).</description></item>
/// </list>
/// </para>
/// <para>
/// A <see cref="HostedWebSearchTool"/> is added to the chat options by default (can be disabled via
/// <see cref="HarnessAgentOptions.DisableWebSearch"/>).
/// <strong>Agent decorators (each enabled by default, individually disableable):</strong>
/// <list type="bullet">
/// <item><description><see cref="ToolApprovalAgent"/> — "don't ask again" tool approval rules enabling safe unattended execution. Disable with <see cref="HarnessAgentOptions.DisableToolApproval"/>.</description></item>
/// <item><description><see cref="OpenTelemetryAgent"/> — OpenTelemetry instrumentation following semantic conventions for generative AI. Disable with <see cref="HarnessAgentOptions.DisableOpenTelemetry"/>.</description></item>
/// </list>
/// </para>
/// <para>
/// The underlying <see cref="ChatClientAgent"/> is configured with
/// <see cref="ChatClientAgentOptions.UseProvidedChatClientAsIs"/> and
/// <see cref="ChatClientAgentOptions.RequirePerServiceCallChatHistoryPersistence"/> set to <see langword="true"/>
/// to match the manually-assembled pipeline.
/// <strong>Default tools:</strong>
/// <list type="bullet">
/// <item><description><see cref="HostedWebSearchTool"/> — a hosted web search tool added to chat options by default. Disable with <see cref="HarnessAgentOptions.DisableWebSearch"/>.</description></item>
/// </list>
/// </para>
/// <para>
/// When no <see cref="HarnessAgentOptions.ChatHistoryProvider"/> is supplied, the agent defaults to an
/// <see cref="InMemoryChatHistoryProvider"/> whose chat reducer applies the same compaction strategy,
/// keeping in-memory history from growing unboundedly across sessions.
/// <strong>Chat history:</strong> When no <see cref="HarnessAgentOptions.ChatHistoryProvider"/> is supplied,
/// the agent defaults to an <see cref="InMemoryChatHistoryProvider"/>. If compaction is enabled, the provider
/// is configured with a compaction-based chat reducer to keep in-memory history bounded. Otherwise, no reducer
/// is applied.
/// </para>
/// <para>
/// <strong>Default instructions:</strong> The agent includes built-in system instructions (<see cref="DefaultInstructions"/>)
/// that guide general tool usage and reasoning patterns. These can be overridden via <see cref="HarnessAgentOptions.HarnessInstructions"/>
/// and combined with agent-specific instructions via <see cref="ChatOptions.Instructions"/>.
/// </para>
/// </remarks>
[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
@@ -89,47 +105,46 @@ public sealed class HarnessAgent : DelegatingAIAgent
/// </summary>
/// <param name="chatClient">
/// The <see cref="IChatClient"/> that provides access to the underlying AI model.
/// The agent wraps this client in a function-invocation, per-service-call persistence,
/// and compaction pipeline automatically.
/// </param>
/// <param name="maxContextWindowTokens">
/// The maximum number of tokens the model's context window supports (e.g., 1,050,000 for gpt-5.4).
/// Used to configure the compaction strategy.
/// </param>
/// <param name="maxOutputTokens">
/// The maximum number of output tokens the model can generate per response (e.g., 128,000 for gpt-5.4).
/// Used to configure the compaction strategy and to limit the model's output.
/// The agent wraps this client in a function-invocation and per-service-call persistence pipeline.
/// When compaction is enabled via <paramref name="options"/>, a compaction decorator is also added.
/// </param>
/// <param name="options">
/// Optional configuration options for the agent, including instructions override, tools,
/// additional context providers, and chat history provider.
/// When <see langword="null"/>, the agent uses built-in default settings.
/// additional context providers, chat history provider, and compaction settings.
/// When <see langword="null"/>, the agent uses built-in default settings with compaction disabled.
/// </param>
/// <param name="loggerFactory">
/// Optional logger factory for creating loggers used by the agent and its components.
/// </param>
/// <param name="services">
/// Optional service provider for resolving dependencies required by AI functions and other agent components.
/// </param>
/// <exception cref="ArgumentNullException">
/// <paramref name="chatClient"/> is <see langword="null"/>.
/// </exception>
/// <exception cref="ArgumentOutOfRangeException">
/// <paramref name="maxContextWindowTokens"/> is not positive, or
/// <paramref name="maxOutputTokens"/> is negative or greater than or equal to <paramref name="maxContextWindowTokens"/>.
/// <see cref="HarnessAgentOptions.MaxContextWindowTokens"/> is not positive, or
/// <see cref="HarnessAgentOptions.MaxOutputTokens"/> is negative or greater than or equal to
/// <see cref="HarnessAgentOptions.MaxContextWindowTokens"/> (when both are provided).
/// </exception>
public HarnessAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options = null)
public HarnessAgent(IChatClient chatClient, HarnessAgentOptions? options = null, ILoggerFactory? loggerFactory = null, IServiceProvider? services = null)
: base(BuildAgent(
Throw.IfNull(chatClient),
maxContextWindowTokens,
maxOutputTokens,
options))
options,
loggerFactory,
services))
{
}
private static AIAgent BuildAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options)
private static AIAgent BuildAgent(IChatClient chatClient, HarnessAgentOptions? options, ILoggerFactory? loggerFactory, IServiceProvider? services)
{
ChatClientAgent innerAgent = BuildInnerAgent(chatClient, maxContextWindowTokens, maxOutputTokens, options);
ChatClientAgent innerAgent = BuildInnerAgent(chatClient, options, loggerFactory, services);
AIAgentBuilder builder = innerAgent.AsBuilder();
if (options?.DisableToolApproval is not true)
{
builder.UseToolApproval();
builder.UseToolApproval(options?.ToolApprovalAgentOptions);
}
if (options?.DisableOpenTelemetry is not true)
@@ -137,20 +152,38 @@ public sealed class HarnessAgent : DelegatingAIAgent
builder.UseOpenTelemetry(sourceName: options?.OpenTelemetrySourceName);
}
return builder.Build();
return builder.Build(services);
}
private static ChatClientAgent BuildInnerAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options)
private static ChatClientAgent BuildInnerAgent(IChatClient chatClient, HarnessAgentOptions? options, ILoggerFactory? loggerFactory, IServiceProvider? services)
{
var compactionStrategy = new ContextWindowCompactionStrategy(
maxContextWindowTokens: maxContextWindowTokens,
maxOutputTokens: maxOutputTokens);
// Determine compaction strategy:
// 1. DisableCompaction = true → no compaction
// 2. Custom CompactionStrategy provided → use it (ignore token params)
// 3. Both token params provided → build default ContextWindowCompactionStrategy
// 4. Otherwise → no compaction
CompactionStrategy? compactionStrategy = null;
if (options?.DisableCompaction is not true)
{
if (options?.CompactionStrategy is CompactionStrategy customStrategy)
{
compactionStrategy = customStrategy;
}
else if (options?.MaxContextWindowTokens is int maxCtx && options?.MaxOutputTokens is int maxOut)
{
compactionStrategy = new ContextWindowCompactionStrategy(
maxContextWindowTokens: maxCtx,
maxOutputTokens: maxOut);
}
}
ChatHistoryProvider chatHistoryProvider = options?.ChatHistoryProvider
?? new InMemoryChatHistoryProvider(new InMemoryChatHistoryProviderOptions
{
ChatReducer = compactionStrategy.AsChatReducer(),
});
?? (compactionStrategy is not null
? new InMemoryChatHistoryProvider(new InMemoryChatHistoryProviderOptions
{
ChatReducer = compactionStrategy.AsChatReducer(),
})
: new InMemoryChatHistoryProvider());
string harnessInstructions = options?.HarnessInstructions ?? DefaultInstructions;
string? agentInstructions = options?.ChatOptions?.Instructions;
@@ -163,20 +196,34 @@ public sealed class HarnessAgent : DelegatingAIAgent
(false, false) => $"{harnessInstructions}\n\n{agentInstructions}",
};
ChatOptions chatOptions = BuildChatOptions(options, instructions, maxOutputTokens);
ChatOptions chatOptions = BuildChatOptions(options, instructions, options?.MaxOutputTokens);
var compactionProvider = new CompactionProvider(compactionStrategy);
CompactionProvider? compactionProvider = compactionStrategy is not null
? new CompactionProvider(compactionStrategy, loggerFactory: loggerFactory)
: null;
IEnumerable<AIContextProvider> contextProviders = BuildContextProviders(options);
IEnumerable<AIContextProvider> contextProviders = BuildContextProviders(options, loggerFactory);
return chatClient
.AsBuilder()
.UseFunctionInvocation(configure: options?.MaximumIterationsPerRequest is int maxIterations
ChatClientBuilder chatClientBuilder = chatClient.AsBuilder();
if (options?.DisableNonApprovalRequiredFunctionBypassing is not true)
{
chatClientBuilder.UseNonApprovalRequiredFunctionBypassing();
}
ChatClientBuilder pipeline = chatClientBuilder
.UseFunctionInvocation(loggerFactory, configure: options?.MaximumIterationsPerRequest is int maxIterations
? ficc => ficc.MaximumIterationsPerRequest = maxIterations
: null)
.UseMessageInjection()
.UsePerServiceCallChatHistoryPersistence()
.UseAIContextProviders(compactionProvider)
.UsePerServiceCallChatHistoryPersistence();
if (compactionProvider is not null)
{
pipeline = pipeline.UseAIContextProviders(compactionProvider);
}
return pipeline
.BuildAIAgent(new ChatClientAgentOptions
{
Id = options?.Id,
@@ -189,14 +236,20 @@ public sealed class HarnessAgent : DelegatingAIAgent
RequirePerServiceCallChatHistoryPersistence = true,
WarnOnChatHistoryProviderConflict = false,
ThrowOnChatHistoryProviderConflict = false,
});
},
loggerFactory,
services);
}
private static ChatOptions BuildChatOptions(HarnessAgentOptions? options, string instructions, int maxOutputTokens)
private static ChatOptions BuildChatOptions(HarnessAgentOptions? options, string instructions, int? maxOutputTokens)
{
ChatOptions result = options?.ChatOptions?.Clone() ?? new ChatOptions();
result.Instructions = instructions;
result.MaxOutputTokens ??= maxOutputTokens;
if (maxOutputTokens.HasValue)
{
result.MaxOutputTokens ??= maxOutputTokens.Value;
}
if (options?.DisableWebSearch is not true)
{
@@ -215,7 +268,7 @@ public sealed class HarnessAgent : DelegatingAIAgent
return result;
}
private static List<AIContextProvider> BuildContextProviders(HarnessAgentOptions? options)
private static List<AIContextProvider> BuildContextProviders(HarnessAgentOptions? options, ILoggerFactory? loggerFactory)
{
var providers = new List<AIContextProvider>();
@@ -255,8 +308,8 @@ public sealed class HarnessAgent : DelegatingAIAgent
if (options?.DisableAgentSkillsProvider is not true)
{
AgentSkillsProvider skillsProvider = options?.AgentSkillsSource is AgentSkillsSource source
? new AgentSkillsProvider(source)
: new AgentSkillsProvider(Directory.GetCurrentDirectory());
? new AgentSkillsProvider(source, loggerFactory: loggerFactory)
: new AgentSkillsProvider(Directory.GetCurrentDirectory(), loggerFactory: loggerFactory);
providers.Add(skillsProvider);
}
@@ -2,6 +2,7 @@
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using Microsoft.Agents.AI.Compaction;
#if NET
using Microsoft.Agents.AI.Tools.Shell;
#endif
@@ -31,6 +32,68 @@ public sealed class HarnessAgentOptions
/// </summary>
public string? Description { get; set; }
/// <summary>
/// Gets or sets the maximum number of tokens the model's context window supports (e.g., 1,050,000 for gpt-5.4).
/// </summary>
/// <remarks>
/// <para>
/// When both <see cref="MaxContextWindowTokens"/> and <see cref="MaxOutputTokens"/> are provided (and no
/// custom <see cref="CompactionStrategy"/> is set), a default <see cref="ContextWindowCompactionStrategy"/>
/// is constructed from these values to prevent function-invocation loops from overflowing the context window.
/// </para>
/// <para>
/// Ignored when <see cref="CompactionStrategy"/> is provided or when <see cref="DisableCompaction"/> is
/// <see langword="true"/>.
/// </para>
/// </remarks>
public int? MaxContextWindowTokens { get; set; }
/// <summary>
/// Gets or sets the maximum number of output tokens the model can generate per response (e.g., 128,000 for gpt-5.4).
/// </summary>
/// <remarks>
/// <para>
/// When set, this value is used as the default for <see cref="ChatOptions"/>.<see cref="ChatOptions.MaxOutputTokens"/>
/// when not explicitly configured.
/// </para>
/// <para>
/// For compaction purposes, this value is used together with <see cref="MaxContextWindowTokens"/> to construct a
/// default <see cref="ContextWindowCompactionStrategy"/> — but only when no custom <see cref="CompactionStrategy"/>
/// is provided and <see cref="DisableCompaction"/> is <see langword="false"/>.
/// </para>
/// </remarks>
public int? MaxOutputTokens { get; set; }
/// <summary>
/// Gets or sets a custom <see cref="Compaction.CompactionStrategy"/> to use for in-loop context-window compaction.
/// </summary>
/// <remarks>
/// <para>
/// When provided, this strategy is used directly and <see cref="MaxContextWindowTokens"/> and
/// <see cref="MaxOutputTokens"/> are ignored for compaction purposes (<see cref="MaxOutputTokens"/> is still
/// used as the default for <see cref="ChatOptions"/>.<see cref="ChatOptions.MaxOutputTokens"/> if set).
/// </para>
/// <para>
/// When <see langword="null"/> and both <see cref="MaxContextWindowTokens"/> and <see cref="MaxOutputTokens"/>
/// are provided, a default <see cref="ContextWindowCompactionStrategy"/> is constructed from those values.
/// </para>
/// <para>
/// This property is ignored when <see cref="DisableCompaction"/> is <see langword="true"/>.
/// </para>
/// </remarks>
public CompactionStrategy? CompactionStrategy { get; set; }
/// <summary>
/// Gets or sets a value indicating whether in-loop compaction is disabled.
/// </summary>
/// <remarks>
/// When <see langword="true"/>, compaction is disabled regardless of <see cref="CompactionStrategy"/>,
/// <see cref="MaxContextWindowTokens"/>, or <see cref="MaxOutputTokens"/> settings. No
/// <see cref="CompactionProvider"/> is added to the chat client pipeline, and the default
/// <see cref="InMemoryChatHistoryProvider"/> is configured without a chat reducer.
/// </remarks>
public bool DisableCompaction { get; set; }
/// <summary>
/// Gets or sets additional chat options such as tools for the agent to use.
/// </summary>
@@ -68,9 +131,9 @@ public sealed class HarnessAgentOptions
/// Gets or sets the <see cref="ChatHistoryProvider"/> to use for storing chat history.
/// </summary>
/// <remarks>
/// When <see langword="null"/>, the agent defaults to an <see cref="InMemoryChatHistoryProvider"/>
/// configured with a compaction-based chat reducer derived from the <c>maxContextWindowTokens</c>
/// and <c>maxOutputTokens</c> constructor parameters of <see cref="HarnessAgent"/>.
/// When <see langword="null"/>, the agent defaults to an <see cref="InMemoryChatHistoryProvider"/>.
/// If <see cref="MaxContextWindowTokens"/> and <see cref="MaxOutputTokens"/> are both provided,
/// the default provider is configured with a compaction-based chat reducer; otherwise, no reducer is applied.
/// </remarks>
public ChatHistoryProvider? ChatHistoryProvider { get; set; }
@@ -101,6 +164,29 @@ public sealed class HarnessAgentOptions
/// </remarks>
public bool DisableToolApproval { get; set; }
/// <summary>
/// Gets or sets the options for the <see cref="ToolApprovalAgent"/> middleware.
/// </summary>
/// <remarks>
/// When <see langword="null"/>, the <see cref="ToolApprovalAgent"/> uses default settings.
/// This property has no effect when <see cref="DisableToolApproval"/> is <see langword="true"/>.
/// </remarks>
public ToolApprovalAgentOptions? ToolApprovalAgentOptions { get; set; }
/// <summary>
/// Gets or sets a value indicating whether bypassing of approval requests for tools that do not
/// require approval is disabled.
/// </summary>
/// <remarks>
/// When <see langword="false"/> (the default), the underlying chat client pipeline includes the decorator
/// added by <see cref="ChatClientBuilderExtensions.UseNonApprovalRequiredFunctionBypassing"/> above the
/// function invocation middleware.
/// This stores automatically approved function calls for tools that do not require approval in the session
/// state when they are returned alongside tools that do, so that only tools that truly require human
/// approval are surfaced to the caller.
/// </remarks>
public bool DisableNonApprovalRequiredFunctionBypassing { get; set; }
/// <summary>
/// Gets or sets a value indicating whether the <see cref="FileMemoryProvider"/> is disabled.
/// </summary>
@@ -103,7 +103,16 @@ public static class AGUIEndpointRouteBuilderExtensions
ArgumentNullException.ThrowIfNull(aiAgent);
var agentSessionStore = endpoints.ServiceProvider.GetKeyedService<AgentSessionStore>(aiAgent.Name);
var hostAgent = new AIHostAgent(aiAgent, agentSessionStore ?? new NoopAgentSessionStore());
// Ensure that we have an IsolationKeyScopedAgentSessionStore registered.
var isolationKeyProvider = endpoints.ServiceProvider.GetService<SessionIsolationKeyProvider>();
if (agentSessionStore?.GetService<IsolationKeyScopedAgentSessionStore>() is null)
{
agentSessionStore ??= new NoopAgentSessionStore();
agentSessionStore = new IsolationKeyScopedAgentSessionStore(agentSessionStore, isolationKeyProvider, new() { Strict = isolationKeyProvider != null });
}
var hostAgent = new AIHostAgent(aiAgent, agentSessionStore);
return endpoints.MapPost(pattern, async ([FromBody] RunAgentInput? input, HttpContext context, CancellationToken cancellationToken) =>
{
@@ -21,6 +21,18 @@ namespace Microsoft.Agents.AI.Hosting;
/// from the ambient <see cref="HttpContext"/>.
/// </para>
/// <para>
/// <strong>Security warning:</strong> The configured <see cref="ClaimsIdentitySessionIsolationKeyProviderOptions.ClaimType"/>
/// must uniquely identify the principal within the served population. Display names, usernames, email
/// aliases, and other mutable or non-unique claims are <strong>unsafe</strong> isolation keys unless the
/// host can prove their uniqueness across all callers: two distinct principals that share the same value
/// would receive the same isolation key and could read or overwrite one another's persisted sessions.
/// The default claim type is <see cref="ClaimTypes.NameIdentifier"/>, a stable unique subject identifier
/// that is typically populated from the OpenID Connect <c>sub</c> claim via the default JWT inbound claim
/// mapping (note that this differs from Entra's object identifier <c>oid</c> claim; override
/// <see cref="ClaimsIdentitySessionIsolationKeyProviderOptions.ClaimType"/> if you need <c>oid</c> or your
/// provider maps a different claim).
/// </para>
/// <para>
/// If the <see cref="HttpContext"/> is unavailable, the user is not authenticated, or the specified claim
/// is missing, the provider returns <see langword="null"/>. The consuming <see cref="IsolationKeyScopedAgentSessionStore"/>
/// will then enforce strict or pass-through behavior based on its configuration.
@@ -60,18 +72,24 @@ public class ClaimsIdentitySessionIsolationKeyProvider : SessionIsolationKeyProv
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.</param>
/// <returns>
/// A task that represents the asynchronous operation. The task result contains the value of the
/// configured claim type from the current user's identity, or <see langword="null"/> if the claim
/// is not present or the HTTP context is unavailable.
/// configured claim type from the current user's identity, or <see langword="null"/> if the HTTP
/// context is unavailable, the user is not authenticated, or the claim is not present.
/// </returns>
/// <remarks>
/// This method retrieves the claim value from <c>HttpContext.User.Claims</c>. If multiple claims
/// of the specified type exist, the first match is returned.
/// This method only reads claims from an authenticated principal: if the current request has no
/// authenticated user, it returns <see langword="null"/> rather than trusting claims on an
/// unauthenticated identity. The claim value is retrieved from <c>HttpContext.User.Claims</c>; if
/// multiple claims of the specified type exist, the first match is returned.
/// </remarks>
public override ValueTask<string?> GetSessionIsolationKeyAsync(CancellationToken cancellationToken = default)
{
Claim? claim = this._httpContextAccessor?
.HttpContext?
.User?.Claims.FirstOrDefault(c => c.Type == this._claimType);
ClaimsPrincipal? user = this._httpContextAccessor?.HttpContext?.User;
if (user?.Identity?.IsAuthenticated != true)
{
return new ValueTask<string?>((string?)null);
}
Claim? claim = user?.Claims.FirstOrDefault(c => c.Type == this._claimType);
return new ValueTask<string?>(claim?.Value);
}
@@ -14,17 +14,30 @@ public class ClaimsIdentitySessionIsolationKeyProviderOptions
/// </summary>
/// <remarks>
/// <para>
/// Defaults to <see cref="ClaimsIdentity.DefaultNameClaimType"/>, which typically corresponds to
/// the user's name or unique identifier claim.
/// Defaults to <see cref="ClaimTypes.NameIdentifier"/>, which corresponds to a stable, unique
/// subject identifier for the authenticated principal. For OpenID Connect tokens (including those
/// issued by Microsoft Entra ID), this is typically populated from the <c>sub</c> claim via the
/// default JWT inbound claim mapping. Note that <c>sub</c> is distinct from Entra's object
/// identifier (<c>oid</c>) claim; if you require the <c>oid</c> claim, or your provider does not map
/// a unique identifier onto <see cref="ClaimTypes.NameIdentifier"/>, override <see cref="ClaimType"/>
/// with the appropriate claim type.
/// </para>
/// <para>
/// <strong>Security warning:</strong> The configured claim must uniquely identify the principal
/// within the served population. Display names (<see cref="ClaimsIdentity.DefaultNameClaimType"/>
/// / <see cref="ClaimTypes.Name"/>), usernames, email aliases, and other mutable or non-unique
/// claims are <strong>unsafe</strong> isolation keys unless the host can prove their uniqueness
/// across all callers. Two distinct principals that share the same value for a non-unique claim
/// would receive the same session-isolation key and could read or overwrite one another's
/// persisted sessions. Only override this value with a claim that is guaranteed unique and stable.
/// </para>
/// <para>
/// Common alternatives include:
/// <list type="bullet">
/// <item><description><c>ClaimTypes.NameIdentifier</c> — Stable user identifier</description></item>
/// <item><description><c>ClaimTypes.Email</c> — Email address</description></item>
/// <item><description>Custom claim types specific to your authentication provider</description></item>
/// <item><description>A composite of tenant and subject identifiers — required for multi-tenant hosts where the subject is only unique per tenant</description></item>
/// <item><description>Custom claim types specific to your authentication provider, provided they are unique and stable</description></item>
/// </list>
/// </para>
/// </remarks>
public string ClaimType { get; set; } = ClaimsIdentity.DefaultNameClaimType;
public string ClaimType { get; set; } = ClaimTypes.NameIdentifier;
}
@@ -1,6 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Security.Claims;
using Microsoft.AspNetCore.Http;
using Microsoft.Extensions.DependencyInjection;
@@ -19,8 +20,28 @@ public static class ServiceCollectionExtensions
/// <param name="options"> Optional configuration for the claims-based session isolation key provider.</param>
/// <returns>The <see cref="IServiceCollection"/> so that additional calls can be chained.</returns>
/// <remarks>
/// <para>
/// This method requires <see cref="IHttpContextAccessor"/> to be registered in the service collection.
/// Ensure that <c>services.AddHttpContextAccessor()</c> has been called before using this method.
/// </para>
/// <para>
/// When <paramref name="options"/> is not supplied, the isolation key is derived from the
/// <see cref="ClaimTypes.NameIdentifier"/> claim, a stable unique subject identifier. For OpenID
/// Connect tokens (including Microsoft Entra ID), this is typically mapped from the <c>sub</c> claim
/// by the default JWT inbound claim mapping. Authentication schemes that do not project a unique
/// identifier onto <see cref="ClaimTypes.NameIdentifier"/> (or hosts that require a different claim
/// such as Entra's <c>oid</c>) should override
/// <see cref="ClaimsIdentitySessionIsolationKeyProviderOptions.ClaimType"/>; otherwise the key may be
/// absent, which causes strict-mode session stores to fail.
/// </para>
/// <para>
/// <strong>Security warning:</strong> If you override
/// <see cref="ClaimsIdentitySessionIsolationKeyProviderOptions.ClaimType"/>, the chosen claim must
/// uniquely identify the principal within the served population. Display names, usernames, email
/// aliases, and other mutable or non-unique claims are <strong>unsafe</strong> isolation keys unless
/// the host can prove their uniqueness across all callers, because distinct principals that share the
/// same claim value would receive the same isolation key and could access one another's sessions.
/// </para>
/// </remarks>
public static IServiceCollection UseClaimsBasedSessionIsolation(
this IServiceCollection services,
@@ -1,10 +1,14 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Threading;
using System.Threading.Channels;
using System.Threading.Tasks;
using Microsoft.Agents.AI.Purview.Models.Common;
using Microsoft.Agents.AI.Purview.Models.Jobs;
using Microsoft.Agents.AI.Purview.Models.Requests;
using Microsoft.Agents.AI.Purview.Models.Responses;
using Microsoft.Extensions.Logging;
namespace Microsoft.Agents.AI.Purview;
@@ -16,6 +20,7 @@ internal sealed class BackgroundJobRunner : IBackgroundJobRunner
{
private readonly IChannelHandler _channelHandler;
private readonly IPurviewClient _purviewClient;
private readonly ICacheProvider _cacheProvider;
private readonly ILogger _logger;
/// <summary>
@@ -23,12 +28,14 @@ internal sealed class BackgroundJobRunner : IBackgroundJobRunner
/// </summary>
/// <param name="channelHandler">The channel handler used to manage job channels.</param>
/// <param name="purviewClient">The Purview client used to send requests to Purview.</param>
/// <param name="cacheProvider">The cache provider used to store protection scopes results.</param>
/// <param name="logger">The logger used to log information about background jobs.</param>
/// <param name="purviewSettings">The settings used to configure Purview client behavior.</param>
public BackgroundJobRunner(IChannelHandler channelHandler, IPurviewClient purviewClient, ILogger logger, PurviewSettings purviewSettings)
public BackgroundJobRunner(IChannelHandler channelHandler, IPurviewClient purviewClient, ICacheProvider cacheProvider, ILogger logger, PurviewSettings purviewSettings)
{
this._channelHandler = channelHandler;
this._purviewClient = purviewClient;
this._cacheProvider = cacheProvider;
this._logger = logger;
for (int i = 0; i < purviewSettings.MaxConcurrentJobConsumers; i++)
@@ -67,6 +74,28 @@ internal sealed class BackgroundJobRunner : IBackgroundJobRunner
break;
case ContentActivityJob contentActivityJob:
_ = await this._purviewClient.SendContentActivitiesAsync(contentActivityJob.Request, CancellationToken.None).ConfigureAwait(false);
break;
case ScopeRetrievalJob scopeRetrievalJob:
try
{
ProtectionScopesResponse response = await this._purviewClient.GetProtectionScopesAsync(scopeRetrievalJob.Request, CancellationToken.None).ConfigureAwait(false);
await this._cacheProvider.SetAsync(scopeRetrievalJob.CacheKey, response, CancellationToken.None).ConfigureAwait(false);
(bool shouldProcess, List<DlpActionInfo> _, ExecutionMode _) = ScopedContentProcessor.CheckApplicableScopes(scopeRetrievalJob.ProcessContentRequest, response);
if (!shouldProcess)
{
ProcessContentRequest pcRequest = scopeRetrievalJob.ProcessContentRequest;
ContentActivitiesRequest caRequest = new(pcRequest.UserId, pcRequest.TenantId, pcRequest.ContentToProcess, pcRequest.CorrelationId);
this._channelHandler.QueueJob(new ContentActivityJob(caRequest));
}
}
catch (PurviewPaymentRequiredException ex)
{
await this._cacheProvider.SetAsync(
new PaymentRequiredCacheKey(scopeRetrievalJob.Request.TenantId),
new PaymentRequiredCacheEntry(ex.Message),
CancellationToken.None).ConfigureAwait(false);
}
break;
}
}
@@ -0,0 +1,23 @@
// Copyright (c) Microsoft. All rights reserved.
namespace Microsoft.Agents.AI.Purview.Models.Common;
/// <summary>
/// Cached tenant-level payment required state.
/// </summary>
internal sealed class PaymentRequiredCacheEntry
{
/// <summary>
/// Creates a new instance of <see cref="PaymentRequiredCacheEntry"/>.
/// </summary>
/// <param name="message">The payment required error message.</param>
public PaymentRequiredCacheEntry(string? message)
{
this.Message = message;
}
/// <summary>
/// The payment required error message.
/// </summary>
public string? Message { get; set; }
}
@@ -0,0 +1,23 @@
// Copyright (c) Microsoft. All rights reserved.
namespace Microsoft.Agents.AI.Purview.Models.Common;
/// <summary>
/// A cache key for tenant-level payment required state.
/// </summary>
internal sealed class PaymentRequiredCacheKey
{
/// <summary>
/// Creates a new instance of <see cref="PaymentRequiredCacheKey"/>.
/// </summary>
/// <param name="tenantId">The id of the tenant.</param>
public PaymentRequiredCacheKey(string tenantId)
{
this.TenantId = tenantId;
}
/// <summary>
/// The id of the tenant.
/// </summary>
public string TenantId { get; set; }
}
@@ -0,0 +1,44 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Purview.Models.Common;
using Microsoft.Agents.AI.Purview.Models.Requests;
namespace Microsoft.Agents.AI.Purview.Models.Jobs;
/// <summary>
/// Class representing a job that refreshes the protection scopes cache in the background.
/// </summary>
/// <remarks>
/// Used by the parallel protection scopes retrieval path to warm the cache without blocking the
/// foreground ProcessContent call.
/// </remarks>
internal sealed class ScopeRetrievalJob : BackgroundJobBase
{
/// <summary>
/// Initializes a new instance of the <see cref="ScopeRetrievalJob"/> class.
/// </summary>
/// <param name="request">The protection scopes request to send to Purview.</param>
/// <param name="cacheKey">The cache key used to store the response.</param>
/// <param name="processContentRequest">The original process content request that triggered scope retrieval.</param>
public ScopeRetrievalJob(ProtectionScopesRequest request, ProtectionScopesCacheKey cacheKey, ProcessContentRequest processContentRequest)
{
this.Request = request;
this.CacheKey = cacheKey;
this.ProcessContentRequest = processContentRequest;
}
/// <summary>
/// Gets the protection scopes request.
/// </summary>
public ProtectionScopesRequest Request { get; }
/// <summary>
/// Gets the cache key used to store the response.
/// </summary>
public ProtectionScopesCacheKey CacheKey { get; }
/// <summary>
/// Gets the original process content request that triggered scope retrieval.
/// </summary>
public ProcessContentRequest ProcessContentRequest { get; }
}
@@ -53,4 +53,10 @@ internal sealed class ProcessContentRequest
/// </summary>
[JsonIgnore]
internal string? ScopeIdentifier { get; set; }
/// <summary>
/// Indicates whether the ProcessContent request should ask the service for inline evaluation.
/// </summary>
[JsonIgnore]
internal bool ProcessInline { get; set; }
}

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