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Author SHA1 Message Date
Evan Mattson b55992bb67 Bump Python package versions for 1.9.0 release (#6583)
Selective, CHANGELOG-driven version bumps for the 2026-06-18 release.

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

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

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

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

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

* Disable blank issue reports

* Revert "Disable blank issue reports"

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

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

* Potential fix for pull request finding

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

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

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

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

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

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

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

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

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

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

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

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

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

- Delete 4 workaround unit tests for the removed helper

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Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: changjian-wang <v-changjwang@microsoft.com>
Co-authored-by: aluneth <wangchangjian1130@163.com>
2026-06-18 01:57:41 +00:00
Shyju Krishnankutty 26a0a7e8be .NET: (Durable): bind MCP threadId to the current agent and guard cross-agent session dispatch (#6531)
* scope MCP threadId to the current agent

* Fix Async suffix on test methods and add CHANGELOG entries

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

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

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-17 21:56:53 +00:00
Yufeng He 616315339e .NET: fix fan-in checkpoint edge state (#6491) 2026-06-17 20:17:53 +00:00
Eduard van Valkenburg fcc5576b04 .NET: feat(dotnet): Add LocalCodeAct package for local Python execution (#6105)
* feat(dotnet): Add LocalCodeAct package scaffold

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

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

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

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

* feat(dotnet): Add CodeValidator wrapper

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

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

* feat(dotnet): Add LocalExecuteCodeFunction

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

Matches Python LocalExecuteCodeTool functionality.

* feat(dotnet): Add LocalCodeActProvider

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

Minimal provider implementation matching Python LocalCodeActProvider.

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

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

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

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

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

* feat(dotnet): Add LocalCodeAct sample project

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

Includes project file and README with security guidance.

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

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

All features from Python implementation now ported to .NET.

* Rewrite .NET LocalCodeAct to address all PR review comments

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

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

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

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

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

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

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

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

* Add Hosted-LocalCodeAct foundry hosted-agent sample

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* .NET: Address LocalCodeAct API review feedback

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

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

* .NET: Address LocalCodeAct concurrency review

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

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

* .NET: Simplify LocalCodeAct function wrappers

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

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

* .NET: Update LocalCodeAct factory result tests

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

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

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-17 15:30:52 +00:00
westey 6cc7ddb73e .NET: Integrate LoopAgent into HarnessAgent with TodoCompletionLoopEvaluator (#6544)
* Add LoopAgent to Harness with TodoEvaluator sample

* Address PR comments

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

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

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-06-17 12:56:50 +00:00
Eduard van Valkenburg 4ff952e100 Python: Capture context provider instructions in agent telemetry (#6515)
* Fix agent instructions telemetry

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

* Simplify agent instructions telemetry guard

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

* Fix observability mypy cast

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

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

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

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

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

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-17 05:15:51 +00:00
Peter Ibekwe 1a280ae7c5 Bugfix for Declarative Workflow (#6530)
* Declarative workflow bugfix

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

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

* Fix provider samples README link

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

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-16 17:55:38 +00:00
Eduard van Valkenburg 8e10c0399a Python: Remove unsupported as_agent function_invocation_configuration (#6520)
* Remove unsupported as_agent config parameter

Fixes #6313

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

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

* fix sample

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

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

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

* .NET: Strengthen Hyperlight registry replacement test

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

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

* .NET: Use Guid for Hyperlight registry version

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

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

* .NET: Fix Hyperlight Guid test import

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

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

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

* Potential fix for pull request finding

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

* Rename disable_tool_approval to disable_tool_auto_approval

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

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

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

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

* Enrich MCP search citation metadata

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

* Fix Azure AI Search citation enrichment follow-ups

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

* Address PR #6453 review comments

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

* updated filter for paths

* also updated python paths

* reverted dotnet-format change

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

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

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

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

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

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

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

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

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

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

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

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

* Fold breaking-change labeling into label-pr workflow

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

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

* Address PR title prefix review feedback

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

* Pin patched MessagePack for .NET restore

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

* Revert MessagePack central pin

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

* Move title prefix tests out of tracked GitHub tests

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

* Exclude skill docs from CI path filters

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

* Match skill symlinks in CI path exclusions

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

* Exclude AGENTS docs from CI path filters

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

* Scope title-prefix normalization to a real prefix

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

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

---------

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

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

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

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

* address usage detail review feedback

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

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

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

---------

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

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

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

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

* Address PR comments

---------

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

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

Fixes #6411

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

* Wrap tools in a list as expected by OllamaChatClient

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

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

---------

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

* Remove unnecessary comment

* Address PR comments

* Address PR comments.

* Fix CI failures.

* declarative action approval bugfix

* Address PR comments

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

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

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

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

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

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

* Address PR comments

* Address PR comment

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

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

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

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

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

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

* Python: Refine AgentLoopMiddleware API and sample

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

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

* Python: Fix CI checks for AgentLoopMiddleware

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

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

* Python: Resolve mypy/pyright disagreement on finish_reason

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

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

* Python: Add todo+judge AgentLoopMiddleware sample

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

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

* Python: Compose todo+judge loops as two middleware

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

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

* Reset session for fresh_context loops via snapshot/restore

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

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

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

* Updated samples and docstrings

---------

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* ag-ui: simplify raw_messages assignment and drop OrderedDict

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

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

* Address review feedback for #2458: review comment fixes

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-12 08:29:38 +00:00
360 changed files with 16541 additions and 2190 deletions
+4 -1
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@@ -20,7 +20,10 @@ ignorePatterns:
- pattern: "https://your-resource.openai.azure.com/"
- pattern: "http://host.docker.internal"
- pattern: "https://openai.github.io/openai-agents-js/openai/agents/classes/"
- pattern: "https:\/\/dotnet.microsoft.com\/download"
# dotnet.microsoft.com bot-blocks CI link checkers with intermittent 403s on any
# path (including localized variants like /en-us/download/...), so ignore the
# whole domain rather than just /download.
- pattern: "https:\/\/dotnet.microsoft.com"
- pattern: "https://github.com/Rel1cx/eslint-react"
# excludedDirs:
# Folders which include links to localhost, since it's not ignored with regular expressions
+25 -5
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@@ -1,23 +1,43 @@
### Motivation and Context
### Motivation & Context
<!-- Thank you for your contribution to the Agent Framework repo!
Please help reviewers and future users, providing the following information:
1. Why is this change required?
2. What problem does it solve?
3. What scenario does it contribute to?
4. If it fixes an open issue, please link to the issue here.
4. If it fixes an open issue, please link to the issue below.
-->
### Description
### Description & Review Guide
<!-- Describe your changes, the overall approach, the underlying design.
Highlight what you want the reviewers to focus on.
These notes will help understanding how your code works. Thanks! -->
- **What are the major changes?**
- **What is the impact of these changes?**
- **What do you want reviewers to focus on?**
<!-- NOTE FOR AUTOMATED/AI REVIEWERS: the "What do you want reviewers to focus on?"
item above is intended for human reviewers only. Automated/AI reviewers should
ignore it and review the entire change rather than narrowing scope to it. -->
### Related Issue
<!-- Which issue does this PR fix? Link it using a GitHub closing keyword so it is
closed automatically when this PR is merged, e.g. "Fixes #123" or "Closes #123".
PRs that are not linked to an issue may be closed, no matter how valid the change is.
Also check whether an open PR already exists for this issue; if so,
explain how this PR is different. -->
Fixes #
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [ ] The code builds clean without any errors or warnings
- [ ] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] **Is this a breaking change?** If yes, add "[BREAKING]" prefix to the title of the PR.
- [ ] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
- [ ] This PR is linked to an issue and there is no other open PR for this issue (see Related Issue above).
- [x] **This is not a breaking change.** If it _is_ a breaking change, add the `breaking change` label (or add "[BREAKING]" to the title prefix, before or after any language prefix) — a workflow keeps the label and title prefix in sync automatically.
+253
View File
@@ -0,0 +1,253 @@
// Copyright (c) Microsoft. All rights reserved.
const BREAKING_CHANGE_LABEL = 'breaking change';
const BREAKING_PREFIX = '[BREAKING]';
const DEFAULT_PREFIX_LABELS = Object.freeze({
python: 'Python',
'.NET': '.NET',
});
const DEFAULT_BRACKET_PREFIX_LABELS = Object.freeze({
[BREAKING_CHANGE_LABEL]: BREAKING_PREFIX,
});
function escapeRegExp(value) {
return value.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
}
function getMatchingValueByKey(valuesByKey, keyToFind) {
const matchingKey = Object.keys(valuesByKey).find((key) => key.toLowerCase() === keyToFind.toLowerCase());
return matchingKey === undefined ? null : valuesByKey[matchingKey];
}
function getPrefixPattern(prefixes) {
return prefixes.map(escapeRegExp).join('|');
}
function canonicalizePrefix(prefix, prefixes) {
return prefixes.find((knownPrefix) => knownPrefix.toLowerCase() === prefix.toLowerCase()) ?? prefix;
}
function normalizeLeadingBracketPrefix(title, bracketPrefixes) {
const bracketPattern = getPrefixPattern(bracketPrefixes);
if (!bracketPattern) {
return title;
}
const leadingBracketPrefix = new RegExp(`^(${bracketPattern})(?=\\s|$)`, 'i');
return title.replace(
leadingBracketPrefix,
(bracketPrefix) => canonicalizePrefix(bracketPrefix, bracketPrefixes),
);
}
function parseLeadingTitlePrefix(title, titlePrefixes) {
const titlePrefixPattern = getPrefixPattern(titlePrefixes);
if (!titlePrefixPattern) {
return null;
}
const match = title.match(new RegExp(`^(${titlePrefixPattern}):\\s*`, 'i'));
if (!match) {
return null;
}
return {
prefix: canonicalizePrefix(match[1], titlePrefixes),
rest: title.slice(match[0].length).trimStart(),
};
}
function removeBracketPrefixToken(title, bracketPrefix) {
const bracketPrefixPattern = escapeRegExp(bracketPrefix);
return title
.replace(new RegExp(`(^|\\s+)${bracketPrefixPattern}(?=\\s|$)`, 'ig'), '$1')
.replace(/\s{2,}/g, ' ')
.trim();
}
function addTitlePrefix(title, prefix, bracketPrefixes = Object.values(DEFAULT_BRACKET_PREFIX_LABELS)) {
const bracketPattern = getPrefixPattern(bracketPrefixes);
const prefixPattern = escapeRegExp(prefix);
if (bracketPattern) {
const bracketThenTitlePrefix = new RegExp(`^(${bracketPattern})(\\s+)(${prefixPattern})(?=:)`, 'i');
if (bracketThenTitlePrefix.test(title)) {
return title.replace(
bracketThenTitlePrefix,
(match, bracketPrefix, spacing) => `${canonicalizePrefix(bracketPrefix, bracketPrefixes)}${spacing}${prefix}`,
);
}
title = normalizeLeadingBracketPrefix(title, bracketPrefixes);
}
if (!title.startsWith(`${prefix}: `)) {
const existingTitlePrefix = new RegExp(`^${prefixPattern}:\\s*`, 'i');
if (existingTitlePrefix.test(title)) {
return title.replace(existingTitlePrefix, `${prefix}: `);
}
return `${prefix}: ${title}`;
}
return title;
}
function hasBracketPrefix(title, bracketPrefix, titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS)) {
const bracketPrefixPattern = escapeRegExp(bracketPrefix);
const leadingBracketPrefix = new RegExp(`^${bracketPrefixPattern}(?=\\s|$)`, 'i');
if (leadingBracketPrefix.test(title)) {
return true;
}
const leadingTitlePrefix = parseLeadingTitlePrefix(title, titlePrefixes);
if (!leadingTitlePrefix) {
return false;
}
return leadingBracketPrefix.test(leadingTitlePrefix.rest);
}
function addBracketPrefix(title, bracketPrefix, titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS)) {
const bracketPrefixPattern = escapeRegExp(bracketPrefix);
const leadingBracketPrefix = new RegExp(`^${bracketPrefixPattern}(?=\\s|$)`, 'i');
if (leadingBracketPrefix.test(title)) {
return title.replace(leadingBracketPrefix, bracketPrefix);
}
const leadingTitlePrefix = parseLeadingTitlePrefix(title, titlePrefixes);
if (leadingTitlePrefix) {
if (leadingBracketPrefix.test(leadingTitlePrefix.rest)) {
const normalizedRest = leadingTitlePrefix.rest.replace(leadingBracketPrefix, bracketPrefix);
return `${leadingTitlePrefix.prefix}: ${normalizedRest}`;
}
const titleWithoutBracketPrefix = removeBracketPrefixToken(leadingTitlePrefix.rest, bracketPrefix);
return `${leadingTitlePrefix.prefix}: ${bracketPrefix}`
+ (titleWithoutBracketPrefix ? ` ${titleWithoutBracketPrefix}` : '');
}
const titleWithoutBracketPrefix = removeBracketPrefixToken(title, bracketPrefix);
return `${bracketPrefix}${titleWithoutBracketPrefix ? ` ${titleWithoutBracketPrefix}` : ''}`;
}
function hasLabel(labels, labelName) {
return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
}
function getCurrentTitle(context) {
switch (context.eventName) {
case 'issues':
return context.payload.issue.title;
case 'pull_request_target':
return context.payload.pull_request.title;
default:
throw new Error(`Unrecognized eventName: ${context.eventName}`);
}
}
async function updateTitleForAddedLabel({
github,
context,
core,
prefixLabels = DEFAULT_PREFIX_LABELS,
bracketPrefixLabels = DEFAULT_BRACKET_PREFIX_LABELS,
}) {
const labelAdded = context.payload.label?.name;
if (!labelAdded) {
throw new Error('This script must be run from a labeled event.');
}
const currentTitle = getCurrentTitle(context);
let newTitle = null;
const titlePrefix = getMatchingValueByKey(prefixLabels, labelAdded);
if (titlePrefix !== null) {
newTitle = addTitlePrefix(currentTitle, titlePrefix, Object.values(bracketPrefixLabels));
}
const bracketPrefix = getMatchingValueByKey(bracketPrefixLabels, labelAdded);
if (bracketPrefix !== null) {
newTitle = addBracketPrefix(currentTitle, bracketPrefix, Object.values(prefixLabels));
}
if (newTitle === null) {
core.info(`No title prefix configured for label "${labelAdded}".`);
return { updated: false, newTitle: currentTitle };
}
if (newTitle === currentTitle) {
core.info(`Title already includes the prefix for label "${labelAdded}".`);
return { updated: false, newTitle };
}
switch (context.eventName) {
case 'issues':
await github.rest.issues.update({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: newTitle,
});
break;
case 'pull_request_target':
await github.rest.pulls.update({
pull_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: newTitle,
});
break;
default:
throw new Error(`Unrecognized eventName: ${context.eventName}`);
}
return { updated: true, newTitle };
}
async function syncBreakingChangeLabelFromTitle({
github,
context,
core,
labelName = BREAKING_CHANGE_LABEL,
bracketPrefix = BREAKING_PREFIX,
titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS),
}) {
const pullRequest = context.payload.pull_request;
if (!pullRequest) {
throw new Error('This script must be run from a pull_request_target event.');
}
const title = pullRequest.title || '';
if (!hasBracketPrefix(title, bracketPrefix, titlePrefixes)) {
core.info(`Title does not include ${bracketPrefix} in the title prefix.`);
return { added: false };
}
const labels = pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [];
if (hasLabel(labels, labelName)) {
core.info(`PR already has the "${labelName}" label.`);
return { added: false };
}
await github.rest.issues.addLabels({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
labels: [labelName],
});
return { added: true };
}
module.exports = {
addBracketPrefix,
addTitlePrefix,
hasBracketPrefix,
syncBreakingChangeLabelFromTitle,
updateTitleForAddedLabel,
};
+116
View File
@@ -0,0 +1,116 @@
---
name: pull-requests
description: >
Guidance for creating pull requests and handling PR review comments in the
Agent Framework repository. Use this when writing a PR description (filling out
the PR template) or when responding to and resolving review comments on an
existing PR.
---
# Pull Request Workflow
This skill covers two tasks: (1) writing a high-quality PR description, and
(2) handling review comments on an existing PR.
## 1. Writing the PR description
Always follow the repository PR template at
[`.github/pull_request_template.md`](../../pull_request_template.md). Keep its
exact structure and headings. Fill every section:
### `### Motivation & Context`
Explain *why* the change is needed: the problem it solves and the scenario it
contributes to. Describe the net change relative to `main` — this is implied, so
do **not** spell out "vs main" explicitly.
### `### Description & Review Guide`
Describe the changes, the overall approach, and the design. Answer the three
prompts:
- **What are the major changes?**
- **What is the impact of these changes?**
- **What do you want reviewers to focus on?** — This item is for **human
reviewers only**. Automated/AI reviewers must ignore it and review the entire
change rather than narrowing scope to it.
### `### Related Issue`
Link the issue the PR fixes using a GitHub closing keyword (`Fixes #123` /
`Closes #123`) so it closes automatically on merge. A PR with no linked issue may
be closed regardless of how valid the change is. Before opening, confirm there is
no other open PR for the same issue; if there is, explain how this PR differs.
### `### Contribution Checklist`
Check every item that applies. For the breaking-change item:
- Leave **"This is not a breaking change."** checked for the common case.
- If the change **is** breaking, add the `breaking change` label **or** put
`[BREAKING]` in the title prefix, before or after a language prefix such as
`Python:` or `.NET:` — workflows keep the label and the title prefix in sync
automatically (see `.github/workflows/label-title-prefix.yml` and
`.github/workflows/label-pr.yml`).
### Do not
- Do **not** add ad-hoc sections such as "Validation" or "Tests run"; CI/CD and
the checklist already cover validation status.
- Do **not** remove or reorder the template's headings.
### Creating the PR
Open new PRs as **drafts** until they are ready for review. Example:
```bash
gh pr create --repo microsoft/agent-framework --base main \
--head <your-fork-owner>:<branch> --draft \
--title "<concise title>" --body "<body following the template>"
```
## 2. Handling review comments
When a PR receives review comments, follow this sequence — **do not start editing
code before the user has reviewed the plan**:
1. **Review the comments.** Read every review comment and thread on the PR,
including inline code comments and general review summaries.
2. **Make a plan.** Produce a concrete plan describing how each comment will be
addressed (or why it should not be, with reasoning).
3. **Let the user review the plan.** Present the plan and wait for the user's
approval or adjustments before implementing anything.
4. **Implement.** Make the agreed changes.
5. **Reply to every comment.** Add a reply to **all** comments explaining how it
was addressed (or the agreed outcome) — leave none unanswered.
6. **Resolve resolved threads.** Mark a review thread as resolved only when the
comment has actually been addressed.
### Useful commands
List review comments and threads:
```bash
# Inline review comments
gh api repos/{owner}/{repo}/pulls/{pr}/comments
# Review threads with resolution state (GraphQL)
gh api graphql -f query='
query($owner:String!,$repo:String!,$pr:Int!){
repository(owner:$owner,name:$repo){
pullRequest(number:$pr){
reviewThreads(first:100){
nodes{ id isResolved comments(first:50){ nodes{ id body author{login} } } }
}
}
}
}' -F owner={owner} -F repo={repo} -F pr={pr}
```
Reply to an inline review comment:
```bash
gh api repos/{owner}/{repo}/pulls/{pr}/comments/{comment_id}/replies \
-f body="Addressed in <commit>: <explanation>"
```
Resolve a review thread (needs the thread node id from the GraphQL query above):
```bash
gh api graphql -f query='
mutation($threadId:ID!){
resolveReviewThread(input:{threadId:$threadId}){ thread{ isResolved } }
}' -F threadId={thread_id}
```
+4 -3
View File
@@ -317,9 +317,10 @@ jobs:
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
# Anthropic Models
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL_NAME: ${{ vars.ANTHROPIC_CHAT_MODEL_NAME }}
ANTHROPIC_REASONING_MODEL_NAME: ${{ vars.ANTHROPIC_REASONING_MODEL_NAME }}
# Disable Anthropic tests by not providing environment vars until 404 failure is resolved
# ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
# ANTHROPIC_CHAT_MODEL_NAME: ${{ vars.ANTHROPIC_CHAT_MODEL_NAME }}
# ANTHROPIC_REASONING_MODEL_NAME: ${{ vars.ANTHROPIC_REASONING_MODEL_NAME }}
# Generate test reports and check coverage
- name: Generate test reports
+3 -5
View File
@@ -2,7 +2,7 @@ name: Issue Triage
on:
issues:
types: [opened, labeled]
types: [opened, typed]
permissions:
contents: read
@@ -12,9 +12,7 @@ permissions:
concurrency:
group: >-
issue-triage-${{ github.repository }}-${{
((github.event.action == 'opened' && contains(github.event.issue.labels.*.name, 'bug'))
|| (github.event.action == 'labeled' && github.event.label.name == 'bug'))
&& github.event.issue.number
github.event.issue.type.name == 'Bug' && github.event.issue.number
|| github.run_id
}}
cancel-in-progress: true
@@ -28,7 +26,7 @@ env:
jobs:
team_check:
runs-on: ubuntu-latest
if: ${{ (github.event.action == 'opened' && contains(github.event.issue.labels.*.name, 'bug')) || (github.event.action == 'labeled' && github.event.label.name == 'bug') }}
if: ${{ github.event.issue.type.name == 'Bug' }}
outputs:
is_team_member: ${{ steps.check.outputs.is_team_member }}
issue_number: ${{ steps.issue.outputs.issue_number }}
+19 -1
View File
@@ -6,16 +6,34 @@
# https://github.com/actions/labeler
name: Label pull request
on: [pull_request_target]
on:
pull_request_target:
types: [opened, synchronize, reopened, edited]
jobs:
add_label:
runs-on: ubuntu-latest
permissions:
contents: read
issues: write
pull-requests: write
steps:
- uses: actions/labeler@f27b608878404679385c85cfa523b85ccb86e213 # v6
with:
repo-token: "${{ secrets.GH_ACTIONS_PR_WRITE }}"
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
sparse-checkout: .github/scripts
fetch-depth: 1
persist-credentials: false
- name: "PR: add breaking change label from title"
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
script: |
const { syncBreakingChangeLabelFromTitle } = require('./.github/scripts/title_prefix.js');
await syncBreakingChangeLabelFromTitle({ github, context, core });
+9 -50
View File
@@ -15,58 +15,17 @@ jobs:
pull-requests: write
steps:
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
sparse-checkout: .github/scripts
fetch-depth: 1
persist-credentials: false
- uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
name: "Issue/PR: update title"
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
let prefixLabels = {
"python": "Python",
".NET": ".NET"
};
function addTitlePrefix(title, prefix)
{
// Update the title based on the label and prefix
// Check if the title starts with the prefix (case-sensitive)
if (!title.startsWith(prefix + ": ")) {
// If not, check if the first word is the label (case-insensitive)
if (title.match(new RegExp(`^${prefix}`, 'i'))) {
// If yes, replace it with the prefix (case-sensitive)
title = title.replace(new RegExp(`^${prefix}`, 'i'), prefix);
} else {
// If not, prepend the prefix to the title
title = prefix + ": " + title;
}
}
return title;
}
labelAdded = context.payload.label.name
// Check if the issue or PR has the label
if (labelAdded in prefixLabels) {
let prefix = prefixLabels[labelAdded];
switch(context.eventName) {
case 'issues':
github.rest.issues.update({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: addTitlePrefix(context.payload.issue.title, prefix)
});
break
case 'pull_request_target':
github.rest.pulls.update({
pull_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: addTitlePrefix(context.payload.pull_request.title, prefix)
});
break
default:
core.setFailed('Unrecognited eventName: ' + context.eventName);
}
}
const { updateTitleForAddedLabel } = require('./.github/scripts/title_prefix.js');
await updateTitleForAddedLabel({ github, context, core });
@@ -6,6 +6,10 @@ on:
branches: ["main"]
paths:
- "python/**"
- "!python/AGENTS.md"
- "!python/**/AGENTS.md"
- "!python/.github/skills/*"
- "!python/.github/skills/**"
env:
# Configure a constant location for the uv cache
+4
View File
@@ -31,6 +31,10 @@ jobs:
filters: |
python:
- 'python/**'
- '!python/AGENTS.md'
- '!python/**/AGENTS.md'
- '!python/.github/skills/*'
- '!python/.github/skills/**'
# run only if 'python' files were changed
- name: python tests
if: steps.filter.outputs.python == 'true'
+4
View File
@@ -5,6 +5,10 @@ on:
branches: ["main", "feature*"]
paths:
- "python/**"
- "!python/AGENTS.md"
- "!python/**/AGENTS.md"
- "!python/.github/skills/*"
- "!python/.github/skills/**"
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
+1
View File
@@ -0,0 +1 @@
../../../.github/skills/pull-requests
+4 -2
View File
@@ -1,4 +1,4 @@
---
---
name: verify-samples-tool
description: How to use the verify-samples tool to run, verify, and manage sample definitions in the Agent Framework repository. Use this when adding, updating, or running sample verification.
---
@@ -157,7 +157,7 @@ new SampleDefinition
new SampleDefinition
{
Name = "Agent_With_AzureOpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -223,3 +223,5 @@ new SampleDefinition
SkipReason = "Runs as an MCP stdio server that does not exit on its own.",
},
```
+4
View File
@@ -10,6 +10,10 @@ See `./.github/skills/build-and-test/SKILL.md` for detailed instructions on buil
See `./.github/skills/project-structure/SKILL.md` for an overview of the project structure.
## Pull Requests
See `./.github/skills/pull-requests/SKILL.md` for guidance on writing PR descriptions and handling/resolving PR review comments.
### Core types
- `AIAgent`: The abstract base class that all agents derive from, providing common methods for interacting with an agent.
+1
View File
@@ -21,6 +21,7 @@
<PackageVersion Include="Aspire.Hosting.Azure.CognitiveServices" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0" />
<PackageVersion Include="MessagePack" Version="3.1.7" /> <!-- Transitive dependency of Aspire pinned to newer version due to vulnerability in 2.5.192 -->
<!-- Azure.* -->
<PackageVersion Include="Azure.AI.AgentServer.Core" Version="1.0.0-beta.25" />
<PackageVersion Include="Azure.AI.AgentServer.Invocations" Version="1.0.0-beta.4" />
+65 -58
View File
@@ -1,4 +1,4 @@
<Solution>
<Solution>
<Configurations>
<BuildType Name="Debug" />
<BuildType Name="Publish" />
@@ -22,19 +22,19 @@
</Folder>
<Folder Name="/Samples/02-agents/AgentProviders/">
<File Path="samples/02-agents/AgentProviders/README.md" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_A2A/Agent_With_A2A.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_Anthropic/Agent_With_Anthropic.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_Ollama/Agent_With_Ollama.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_ONNX/Agent_With_ONNX.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
<Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
<Project Path="samples/02-agents/AgentProviders/a2a/Agent_With_A2A/Agent_With_A2A.csproj" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_With_Anthropic/Agent_With_Anthropic.csproj" />
<Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj" />
<Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj" />
<Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
<Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
<Project Path="samples/02-agents/AgentProviders/custom/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
<Project Path="samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
<Project Path="samples/02-agents/AgentProviders/google-gemini/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
<Project Path="samples/02-agents/AgentProviders/ollama/Agent_With_Ollama/Agent_With_Ollama.csproj" />
<Project Path="samples/02-agents/AgentProviders/onnx/Agent_With_ONNX/Agent_With_ONNX.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_With_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
</Folder>
<Folder Name="/Samples/05-end-to-end/DevUIAspireIntegration/">
<Project Path="samples/05-end-to-end/DevUIAspireIntegration/DevUIIntegration.AppHost/DevUIIntegration.AppHost.csproj" />
@@ -138,43 +138,43 @@
<File Path="samples/02-agents/DevUI/README.md" />
<Project Path="samples/02-agents/DevUI/DevUI_Step01_BasicUsage/DevUI_Step01_BasicUsage.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/AgentWithAnthropic/">
<File Path="samples/02-agents/AgentWithAnthropic/README.md" />
<Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj" />
<Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj" />
<Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step04_UsingSkills/Agent_Anthropic_Step04_UsingSkills.csproj" />
<Folder Name="/Samples/02-agents/AgentProviders/anthropic/">
<File Path="samples/02-agents/AgentProviders/anthropic/README.md" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step04_UsingSkills/Agent_Anthropic_Step04_UsingSkills.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/AgentsWithFoundry/">
<File Path="samples/02-agents/AgentsWithFoundry/README.md" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/Agent_Step00_FoundryAgentLifecycle.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/Agent_Step01_Basics.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/Agent_Step02.1_MultiturnConversation.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/Agent_Step02.2_MultiturnWithServerConversations.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/Agent_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/Agent_Step07_Observability.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/Agent_Step08_DependencyInjection.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/Agent_Step09_UsingMcpClientAsTools.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/Agent_Step10_UsingImages.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/Agent_Step11_AsFunctionTool.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/Agent_Step12_Middleware.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/Agent_Step13_Plugins.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/Agent_Step14_CodeInterpreter.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/Agent_Step16_FileSearch.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/Agent_Step17_OpenAPITools.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/Agent_Step18_BingCustomSearch.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/Agent_Step19_SharePoint.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/Agent_Step20_MicrosoftFabric.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/Agent_Step21_WebSearch.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/Agent_Step22_MemorySearch.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/Agent_Step23_LocalMCP.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step24_CodeInterpreterFileDownload/Agent_Step24_CodeInterpreterFileDownload.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step25_FoundryToolboxMcp/Agent_Step25_FoundryToolboxMcp.csproj" />
<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step26_FoundryToolboxMcpSkills/Agent_Step26_FoundryToolboxMcpSkills.csproj" />
<Folder Name="/Samples/02-agents/AgentProviders/foundry/">
<File Path="samples/02-agents/AgentProviders/foundry/README.md" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step00_FoundryAgentLifecycle/Agent_Step00_FoundryAgentLifecycle.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step01_Basics/Agent_Step01_Basics.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step02.1_MultiturnConversation/Agent_Step02.1_MultiturnConversation.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step02.2_MultiturnWithServerConversations/Agent_Step02.2_MultiturnWithServerConversations.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step03_UsingFunctionTools/Agent_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step07_Observability/Agent_Step07_Observability.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step08_DependencyInjection/Agent_Step08_DependencyInjection.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step09_UsingMcpClientAsTools/Agent_Step09_UsingMcpClientAsTools.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step10_UsingImages/Agent_Step10_UsingImages.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step11_AsFunctionTool/Agent_Step11_AsFunctionTool.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step12_Middleware/Agent_Step12_Middleware.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step13_Plugins/Agent_Step13_Plugins.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step14_CodeInterpreter/Agent_Step14_CodeInterpreter.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step16_FileSearch/Agent_Step16_FileSearch.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step17_OpenAPITools/Agent_Step17_OpenAPITools.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step18_BingCustomSearch/Agent_Step18_BingCustomSearch.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step19_SharePoint/Agent_Step19_SharePoint.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step20_MicrosoftFabric/Agent_Step20_MicrosoftFabric.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step21_WebSearch/Agent_Step21_WebSearch.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step22_MemorySearch/Agent_Step22_MemorySearch.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step23_LocalMCP/Agent_Step23_LocalMCP.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step24_CodeInterpreterFileDownload/Agent_Step24_CodeInterpreterFileDownload.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step25_FoundryToolboxMcp/Agent_Step25_FoundryToolboxMcp.csproj" />
<Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step26_FoundryToolboxMcpSkills/Agent_Step26_FoundryToolboxMcpSkills.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/Evaluation/">
<Project Path="samples/02-agents/Evaluation/Evaluation_CustomEvals/Evaluation_CustomEvals.csproj" />
@@ -197,14 +197,14 @@
<Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey/AgentWithMemory_Step03_MemoryUsingValkey.csproj" />
<Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/AgentWithOpenAI/">
<File Path="samples/02-agents/AgentWithOpenAI/README.md" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Agent_OpenAI_Step01_Running.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Agent_OpenAI_Step03_CreateFromChatClient.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj" />
<Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step06_CodeInterpreterFileDownload/Agent_OpenAI_Step06_CodeInterpreterFileDownload.csproj" />
<Folder Name="/Samples/02-agents/AgentProviders/openai/">
<File Path="samples/02-agents/AgentProviders/openai/README.md" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step01_Running/Agent_OpenAI_Step01_Running.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step03_CreateFromChatClient/Agent_OpenAI_Step03_CreateFromChatClient.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj" />
<Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step06_CodeInterpreterFileDownload/Agent_OpenAI_Step06_CodeInterpreterFileDownload.csproj" />
</Folder>
<Folder Name="/Samples/02-agents/AgentWithRAG/">
<File Path="samples/02-agents/AgentWithRAG/README.md" />
@@ -331,6 +331,9 @@
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/HostedLocalTools.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalCodeAct/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalCodeAct/HostedLocalCodeAct.csproj" />
</Folder>
<Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/">
<Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/HostedMcpTools.csproj" />
</Folder>
@@ -616,6 +619,7 @@
<Project Path="src/Microsoft.Agents.AI.Hosting.AspNetCore/Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting/Microsoft.Agents.AI.Hosting.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hyperlight/Microsoft.Agents.AI.Hyperlight.csproj" />
<Project Path="src/Microsoft.Agents.AI.LocalCodeAct/Microsoft.Agents.AI.LocalCodeAct.csproj" />
<Project Path="src/Microsoft.Agents.AI.Mcp/Microsoft.Agents.AI.Mcp.csproj" />
<Project Path="src/Microsoft.Agents.AI.Mem0/Microsoft.Agents.AI.Mem0.csproj" />
<Project Path="src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj" />
@@ -671,6 +675,7 @@
<Project Path="tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.UnitTests/Microsoft.Agents.AI.Hosting.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hyperlight.UnitTests/Microsoft.Agents.AI.Hyperlight.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.LocalCodeAct.UnitTests/Microsoft.Agents.AI.LocalCodeAct.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Mcp.UnitTests/Microsoft.Agents.AI.Mcp.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Mem0.UnitTests/Microsoft.Agents.AI.Mem0.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.OpenAI.UnitTests/Microsoft.Agents.AI.OpenAI.UnitTests.csproj" />
@@ -684,3 +689,5 @@
<Project Path="tests/Microsoft.Agents.AI.Valkey.UnitTests/Microsoft.Agents.AI.Valkey.UnitTests.csproj" />
</Folder>
</Solution>
+48 -48
View File
@@ -14,7 +14,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_CustomImplementation",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_CustomImplementation",
ProjectPath = "samples/02-agents/AgentProviders/custom/Agent_With_CustomImplementation",
RequiredEnvironmentVariables = [],
ExpectedOutputDescription =
[
@@ -27,7 +27,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_AzureOpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -40,7 +40,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_AzureOpenAIResponses",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIResponses",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -53,7 +53,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_AzureAIProject",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureAIProject",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureAIProject",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
MustContain = ["Latest agent version id:"],
@@ -67,7 +67,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_AzureFoundryModel",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureFoundryModel",
ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureFoundryModel",
RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_OPENAI_API_KEY", "AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -477,12 +477,12 @@ internal static class AgentsSamples
],
},
// ── AgentsWithFoundry ────────────────────────────────────────────────
// ── Foundry ───────────────────────────────────────────────────────────
new SampleDefinition
{
Name = "FoundryAgent_Step00_FoundryAgentLifecycle",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step00_FoundryAgentLifecycle",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -495,7 +495,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step01_Basics",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step01_Basics",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -508,7 +508,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step02.1_MultiturnConversation",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step02.1_MultiturnConversation",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -522,7 +522,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step02.2_MultiturnWithServerConversations",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step02.2_MultiturnWithServerConversations",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -535,7 +535,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step03_UsingFunctionTools",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step03_UsingFunctionTools",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -550,7 +550,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step04_UsingFunctionToolsWithApprovals",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["Y", "Y", "Y"],
@@ -566,7 +566,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step05_StructuredOutput",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step05_StructuredOutput",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
MustContain = ["Assistant Output:", "Name:"],
@@ -581,7 +581,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step06_PersistedConversations",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step06_PersistedConversations",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -594,7 +594,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step08_DependencyInjection",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step08_DependencyInjection",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["Tell me a joke about a pirate", ""],
@@ -609,7 +609,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step10_UsingImages",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step10_UsingImages",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -623,7 +623,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step11_AsFunctionTool",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step11_AsFunctionTool",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -637,7 +637,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step12_Middleware",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step12_Middleware",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
Inputs = ["Y", "Y", "Y"],
@@ -653,7 +653,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step13_Plugins",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step13_Plugins",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -667,7 +667,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step14_CodeInterpreter",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step14_CodeInterpreter",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -682,7 +682,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step16_FileSearch",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step16_FileSearch",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
MustContain = ["--- Running File Search Agent ---"],
@@ -696,7 +696,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step17_OpenAPITools",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step17_OpenAPITools",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -720,7 +720,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_A2A",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_A2A",
ProjectPath = "samples/02-agents/AgentProviders/a2a/Agent_With_A2A",
RequiredEnvironmentVariables = ["A2A_AGENT_HOST"],
SkipReason = "Requires an external A2A agent host.",
},
@@ -728,7 +728,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_Anthropic",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_Anthropic",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_With_Anthropic",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME", "ANTHROPIC_RESOURCE"],
ExpectedOutputDescription =
@@ -741,7 +741,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_GitHubCopilot",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_GitHubCopilot",
ProjectPath = "samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot",
RequiredEnvironmentVariables = [],
// The sample prompts for shell command approval; provide "Y" for each possible permission request
Inputs = ["Y", "Y", "Y"],
@@ -756,7 +756,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_GoogleGemini",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_GoogleGemini",
ProjectPath = "samples/02-agents/AgentProviders/google-gemini/Agent_With_GoogleGemini",
RequiredEnvironmentVariables = ["GOOGLE_GENAI_API_KEY"],
OptionalEnvironmentVariables = ["GOOGLE_GENAI_MODEL"],
MustContain =
@@ -774,7 +774,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_ONNX",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_ONNX",
ProjectPath = "samples/02-agents/AgentProviders/onnx/Agent_With_ONNX",
RequiredEnvironmentVariables = ["ONNX_MODEL_PATH"],
SkipReason = "Requires local ONNX model.",
},
@@ -782,7 +782,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_Ollama",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_Ollama",
ProjectPath = "samples/02-agents/AgentProviders/ollama/Agent_With_Ollama",
RequiredEnvironmentVariables = ["OLLAMA_ENDPOINT", "OLLAMA_MODEL_NAME"],
SkipReason = "Requires local Ollama server.",
},
@@ -790,7 +790,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_OpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_With_OpenAIChatCompletion",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -803,7 +803,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_With_OpenAIResponses",
ProjectPath = "samples/02-agents/AgentProviders/Agent_With_OpenAIResponses",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_With_OpenAIResponses",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -843,7 +843,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_Anthropic_Step01_Running",
ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step01_Running",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step01_Running",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -857,7 +857,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_Anthropic_Step02_Reasoning",
ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step02_Reasoning",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step02_Reasoning",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
MustContain =
@@ -880,7 +880,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_Anthropic_Step03_UsingFunctionTools",
ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step03_UsingFunctionTools",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step03_UsingFunctionTools",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -894,7 +894,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_Anthropic_Step04_UsingSkills",
ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step04_UsingSkills",
ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step04_UsingSkills",
RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
MustContain =
@@ -921,7 +921,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step01_Running",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step01_Running",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -934,7 +934,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step02_Reasoning",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step02_Reasoning",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
MustContain =
@@ -954,7 +954,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step03_CreateFromChatClient",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step03_CreateFromChatClient",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -968,7 +968,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step04_CreateFromOpenAIResponseClient",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
ExpectedOutputDescription =
@@ -982,7 +982,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "Agent_OpenAI_Step05_Conversation",
ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation",
ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step05_Conversation",
RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
MustContain =
@@ -1029,7 +1029,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step07_Observability",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step07_Observability",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME", "APPLICATIONINSIGHTS_CONNECTION_STRING"],
SkipReason = "Requires Application Insights / OpenTelemetry infrastructure.",
@@ -1038,7 +1038,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step09_UsingMcpClientAsTools",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step09_UsingMcpClientAsTools",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -1051,7 +1051,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step15_ComputerUse",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step15_ComputerUse",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription = ["The output should show a computer automation session processing simulated browser screenshots with iteration steps and a final response describing search results."],
@@ -1060,7 +1060,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step18_BingCustomSearch",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step18_BingCustomSearch",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "AZURE_AI_CUSTOM_SEARCH_CONNECTION_ID", "AZURE_AI_CUSTOM_SEARCH_INSTANCE_NAME"],
SkipReason = "Requires Bing Custom Search connection.",
},
@@ -1068,7 +1068,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step19_SharePoint",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step19_SharePoint",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "SHAREPOINT_PROJECT_CONNECTION_ID"],
SkipReason = "Requires SharePoint connection.",
},
@@ -1076,7 +1076,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step20_MicrosoftFabric",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step20_MicrosoftFabric",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "FABRIC_PROJECT_CONNECTION_ID"],
SkipReason = "Requires Microsoft Fabric connection.",
},
@@ -1084,7 +1084,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step21_WebSearch",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step21_WebSearch",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription =
@@ -1097,7 +1097,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step22_MemorySearch",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step22_MemorySearch",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "AZURE_AI_EMBEDDING_DEPLOYMENT_NAME"],
OptionalEnvironmentVariables = ["AZURE_AI_MEMORY_STORE_ID"],
MustContain = ["Agent created with Memory Search tool. Starting conversation..."],
@@ -1111,7 +1111,7 @@ internal static class AgentsSamples
new SampleDefinition
{
Name = "FoundryAgent_Step23_LocalMCP",
ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP",
ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step23_LocalMCP",
RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
ExpectedOutputDescription = ["The output should show an agent using the Microsoft Learn MCP server to search for documentation and provide a response."],
@@ -1,7 +1,8 @@
# Creating an AIAgent instance for various providers
# Creating an AIAgent with various providers
These samples show how to create an AIAgent instance using various providers.
This is not an exhaustive list, but shows a variety of the more popular options.
These samples show how to create an AIAgent instance using various providers,
organized by provider. This is not an exhaustive list, but shows a variety of
the more popular options.
For other samples that demonstrate how to use AIAgent instances,
see the [Getting Started With Agents](../Agents/README.md) samples.
@@ -10,53 +11,88 @@ see the [Getting Started With Agents](../Agents/README.md) samples.
See the README.md for each sample for the prerequisites for that sample.
## Samples
## Providers
|Sample|Description|
|---|---|
|[Creating an AIAgent with A2A](./Agent_With_A2A/)|This sample demonstrates how to create AIAgent for an existing A2A agent.|
|[Creating an AIAgent with Anthropic](./Agent_With_Anthropic/)|This sample demonstrates how to create an AIAgent using Anthropic Claude models as the underlying inference service|
|[Creating an AIAgent with Foundry Agents using Azure.AI.Project](./Agent_With_AzureAIProject/)|This sample demonstrates how to create an Foundry Project agent and expose it as an AIAgent using the Azure.AI.Project SDK|
|[Creating an AIAgent with Foundry Model](./Agent_With_AzureFoundryModel/)|This sample demonstrates how to use any model deployed to Microsoft Foundry to create an AIAgent|
|[Creating an AIAgent with Azure OpenAI ChatCompletion](./Agent_With_AzureOpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using Azure OpenAI ChatCompletion as the underlying inference service|
|[Creating an AIAgent with Azure OpenAI Responses](./Agent_With_AzureOpenAIResponses/)|This sample demonstrates how to create an AIAgent using Azure OpenAI Responses as the underlying inference service|
|[Creating an AIAgent with a custom implementation](./Agent_With_CustomImplementation/)|This sample demonstrates how to create an AIAgent with a custom implementation|
|[Creating an AIAgent with GitHub Copilot](./Agent_With_GitHubCopilot/)|This sample demonstrates how to create an AIAgent using GitHub Copilot SDK as the underlying inference service|
|[Creating an AIAgent with Ollama](./Agent_With_Ollama/)|This sample demonstrates how to create an AIAgent using Ollama as the underlying inference service|
|[Creating an AIAgent with ONNX](./Agent_With_ONNX/)|This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service|
|[Creating an AIAgent with OpenAI ChatCompletion](./Agent_With_OpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using OpenAI ChatCompletion as the underlying inference service|
|[Creating an AIAgent with OpenAI Responses](./Agent_With_OpenAIResponses/)|This sample demonstrates how to create an AIAgent using OpenAI Responses as the underlying inference service|
### [A2A](./a2a/)
## Running the samples from the console
| Sample | Description |
| --- | --- |
| [Agent with A2A](./a2a/Agent_With_A2A/) | Create an AIAgent for an existing A2A agent |
To run the samples, navigate to the desired sample directory, e.g.
### [Anthropic](./anthropic/)
```powershell
cd AIAgent_With_AzureOpenAIChatCompletion
```
| Sample | Description |
| --- | --- |
| [Agent with Anthropic](./anthropic/Agent_With_Anthropic/) | Create an AIAgent using Anthropic Claude models |
| [Running](./anthropic/Agent_Anthropic_Step01_Running/) | Basic Anthropic agent usage |
| [Reasoning](./anthropic/Agent_Anthropic_Step02_Reasoning/) | Using Anthropic reasoning capabilities |
| [Function Tools](./anthropic/Agent_Anthropic_Step03_UsingFunctionTools/) | Using function tools with Anthropic |
| [Skills](./anthropic/Agent_Anthropic_Step04_UsingSkills/) | Using skills with Anthropic agents |
Set the required environment variables as documented in the sample readme.
If the variables are not set, you will be prompted for the values when running the samples.
Execute the following command to build the sample:
### [Azure](./azure/)
```powershell
dotnet build
```
| Sample | Description |
| --- | --- |
| [Azure AI Project](./azure/Agent_With_AzureAIProject/) | Create a Foundry Project agent using the Azure.AI.Project SDK |
| [Azure Foundry Model](./azure/Agent_With_AzureFoundryModel/) | Use any model deployed to Microsoft Foundry |
| [Azure OpenAI ChatCompletion](./azure/Agent_With_AzureOpenAIChatCompletion/) | Create an AIAgent using Azure OpenAI ChatCompletion |
| [Azure OpenAI Responses](./azure/Agent_With_AzureOpenAIResponses/) | Create an AIAgent using Azure OpenAI Responses |
Execute the following command to run the sample:
### [Custom](./custom/)
```powershell
dotnet run --no-build
```
| Sample | Description |
| --- | --- |
| [Custom Implementation](./custom/Agent_With_CustomImplementation/) | Create an AIAgent with a custom implementation |
Or just build and run in one step:
### [Foundry](./foundry/)
See [foundry/README.md](./foundry/README.md) for the full list of Foundry agent samples,
covering basics, function tools, structured output, middleware, MCP, code interpreter, and more.
### [GitHub Copilot](./github-copilot/)
| Sample | Description |
| --- | --- |
| [GitHub Copilot](./github-copilot/Agent_With_GitHubCopilot/) | Create an AIAgent using GitHub Copilot SDK |
### [Google Gemini](./google-gemini/)
| Sample | Description |
| --- | --- |
| [Google Gemini](./google-gemini/Agent_With_GoogleGemini/) | Create an AIAgent using Google Gemini |
### [Ollama](./ollama/)
| Sample | Description |
| --- | --- |
| [Ollama](./ollama/Agent_With_Ollama/) | Create an AIAgent using Ollama |
### [ONNX](./onnx/)
| Sample | Description |
| --- | --- |
| [ONNX](./onnx/Agent_With_ONNX/) | Create an AIAgent using ONNX Runtime |
### [OpenAI](./openai/)
| Sample | Description |
| --- | --- |
| [OpenAI ChatCompletion](./openai/Agent_With_OpenAIChatCompletion/) | Create an AIAgent using OpenAI ChatCompletion |
| [OpenAI Responses](./openai/Agent_With_OpenAIResponses/) | Create an AIAgent using OpenAI Responses |
| [Running](./openai/Agent_OpenAI_Step01_Running/) | Basic OpenAI agent usage |
| [Reasoning](./openai/Agent_OpenAI_Step02_Reasoning/) | Using OpenAI reasoning capabilities |
| [Create from ChatClient](./openai/Agent_OpenAI_Step03_CreateFromChatClient/) | Create agent from IChatClient |
| [Create from Response Client](./openai/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/) | Create agent from OpenAI Response client |
| [Conversation](./openai/Agent_OpenAI_Step05_Conversation/) | Multi-turn conversations with OpenAI |
| [Code Interpreter](./openai/Agent_OpenAI_Step06_CodeInterpreterFileDownload/) | Code interpreter with file downloads |
## Running the samples
Navigate to a sample directory and run:
```powershell
dotnet run
```
## Running the samples from Visual Studio
Open the solution in Visual Studio and set the desired sample project as the startup project. Then, run the project using the built-in debugger or by pressing `F5`.
You will be prompted for any required environment variables if they are not already set.
Set the required environment variables as documented in each sample's README.
If the variables are not set, you will be prompted for the values when running the samples.
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
</ItemGroup>
</Project>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Running a simple agent with Anthropic
# Running a simple agent with Anthropic
This sample demonstrates how to create and run a basic agent with Anthropic Claude models.
@@ -26,10 +26,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model" # Replace with your Anthr
## Run the sample
Navigate to the AgentWithAnthropic sample directory and run:
Navigate to the Anthropic sample directory and run:
```powershell
cd dotnet\samples\02-agents\AgentWithAnthropic
cd dotnet\samples\02-agents\AgentProviders\anthropic
dotnet run --project .\Agent_Anthropic_Step01_Running
```
@@ -41,3 +41,4 @@ The sample will:
2. Run the agent with a simple prompt
3. Display the agent's response
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Using reasoning with Anthropic agents
# Using reasoning with Anthropic agents
This sample demonstrates how to use extended thinking/reasoning capabilities with Anthropic Claude agents.
@@ -28,10 +28,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model" # Replace with your Anthr
## Run the sample
Navigate to the AgentWithAnthropic sample directory and run:
Navigate to the Anthropic sample directory and run:
```powershell
cd dotnet\samples\02-agents\AgentWithAnthropic
cd dotnet\samples\02-agents\AgentProviders\anthropic
dotnet run --project .\Agent_Anthropic_Step02_Reasoning
```
@@ -44,3 +44,4 @@ The sample will:
3. Display the agent's thinking process
4. Display the agent's final response
@@ -0,0 +1,15 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net10.0</TargetFramework>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Using Function Tools with Anthropic agents
# Using Function Tools with Anthropic agents
This sample demonstrates how to use function tools with Anthropic Claude agents, allowing agents to call custom functions to retrieve information.
@@ -28,10 +28,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model" # Replace with your Anthr
## Run the sample
Navigate to the AgentWithAnthropic sample directory and run:
Navigate to the Anthropic sample directory and run:
```powershell
cd dotnet\samples\02-agents\AgentWithAnthropic
cd dotnet\samples\02-agents\AgentProviders\anthropic
dotnet run --project .\Agent_Anthropic_Step03_UsingFunctionTools
```
@@ -45,3 +45,4 @@ The sample will:
4. Run the agent again with streaming to display the response as it's generated
5. Clean up resources by deleting the agent
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Using Anthropic Skills with agents
# Using Anthropic Skills with agents
This sample demonstrates how to use Anthropic-managed Skills with AI agents. Skills are pre-built capabilities provided by Anthropic that can be used with the Claude API.
@@ -29,10 +29,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model" # Replace with your Anthr
## Run the sample
Navigate to the AgentWithAnthropic sample directory and run:
Navigate to the Anthropic sample directory and run:
```powershell
cd dotnet\samples\02-agents\AgentWithAnthropic
cd dotnet\samples\02-agents\AgentProviders\anthropic
dotnet run --project .\Agent_Anthropic_Step04_UsingSkills
```
@@ -117,3 +117,4 @@ foreach (HostedFileContent file in hostedFiles)
await contentStream.CopyToAsync(fileStream);
}
```
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>
@@ -1,4 +1,4 @@
# Creating an AIAgent with Anthropic
# Creating an AIAgent with Anthropic
This sample demonstrates how to create an AIAgent using Anthropic Claude models as the underlying inference service.
@@ -51,3 +51,4 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="claude-haiku-4-5" # Optional, defaults to claud
```
**Note**: When using Microsoft Foundry with Azure CLI, make sure you're logged in with `az login` and have access to the Microsoft Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
@@ -1,4 +1,4 @@
# Getting started with agents using Anthropic
# Getting started with agents using Anthropic
The getting started with agents using Anthropic samples demonstrate the fundamental concepts and functionalities
of single agents using Anthropic as the AI provider.
@@ -6,7 +6,7 @@ of single agents using Anthropic as the AI provider.
These samples use Anthropic Claude models as the AI provider and use ChatCompletion as the type of service.
For other samples that demonstrate how to create and configure each type of agent that come with the agent framework,
see the [How to create an agent for each provider](../AgentProviders/README.md) samples.
see the [How to create an agent for each provider](../README.md) samples.
## Getting started with agents using Anthropic prerequisites
@@ -20,7 +20,7 @@ Before you begin, ensure you have the following prerequisites:
## Using Anthropic with Microsoft Foundry
To use Anthropic with Microsoft Foundry, you can check the sample [AgentProviders/Agent_With_Anthropic](../AgentProviders/Agent_With_Anthropic/README.md) for more details.
To use Anthropic with Microsoft Foundry, you can check the sample [providers/Agent_With_Anthropic](./Agent_With_Anthropic/README.md) for more details.
## Samples
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -14,7 +14,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -14,7 +14,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
</ItemGroup>
</Project>
@@ -14,7 +14,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -18,6 +18,7 @@ This sample demonstrates the full lifecycle of a `FoundryAgent` backed by a serv
## Running the sample
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step00_FoundryAgentLifecycle
```
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -27,10 +27,10 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
Navigate to the AgentsWithFoundry sample directory and run:
Navigate to the Foundry sample directory and run:
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step01_Basics
```
@@ -53,3 +53,4 @@ AIAgent agent = new ChatClientAgent(
```
This approach is useful when you need to customize the chat client pipeline or swap providers (e.g., Anthropic, OpenAI) while keeping the same agent code.
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -28,9 +28,10 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
Navigate to the AgentsWithFoundry sample directory and run:
Navigate to the Foundry sample directory and run:
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step02.1_MultiturnConversation
```
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -28,9 +28,10 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
Navigate to the AgentsWithFoundry sample directory and run:
Navigate to the Foundry sample directory and run:
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step02.2_MultiturnWithServerConversations
```
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -29,9 +29,10 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
Navigate to the AgentsWithFoundry sample directory and run:
Navigate to the Foundry sample directory and run:
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step03_UsingFunctionTools
```
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -25,6 +25,7 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step04_UsingFunctionToolsWithApprovals
```
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -24,6 +24,7 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step05_StructuredOutput
```
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -25,6 +25,7 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step06_PersistedConversations
```
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -26,6 +26,7 @@ $env:APPLICATIONINSIGHTS_CONNECTION_STRING="..." # Optional
## Run the sample
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step07_Observability
```
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -25,6 +25,7 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step08_DependencyInjection
```
@@ -14,8 +14,8 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
<ItemGroup>
@@ -25,6 +25,7 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step10_UsingImages
```
@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -25,6 +25,7 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step11_AsFunctionTool
```
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -26,6 +26,7 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
## Run the sample
```powershell
cd dotnet/samples/02-agents/AgentsWithFoundry
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step12_Middleware
```
@@ -15,7 +15,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
@@ -27,3 +27,4 @@ $env:FOUNDRY_MODEL="gpt-5.4-mini"
```powershell
dotnet run
```
@@ -13,7 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>

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