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Author SHA1 Message Date
Roger BarretoandGitHub 502f128a9c Merge branch 'main' into test-it-bump-aaip210b2 2026-05-18 17:03:59 +01:00
Roger Barreto 7d233b9bc8 Address PR review: forward pipeline settings; add UTs
- CreateProjectClientOptions also carries RetryPolicy, NetworkTimeout, ClientLoggingOptions, MessageLoggingPolicy (was Transport+UserAgentApplicationId only).

- Make CreateProjectClientOptions internal so tests can verify the copy directly.

- Add AsAIAgent(Uri) UTs covering tools forwarding to inner ChatOptions and null tools handling.

- Add CreateProjectClientOptions UTs covering null caller and full pipeline-settings copy.
2026-05-15 17:44:46 +01:00
Roger Barreto 137a79686f .NET: Bump Azure.AI.Projects to 2.1.0-beta.2 and add agent-endpoint AsAIAgent path
Bumps Azure.AI.Projects to 2.1.0-beta.2 with the matching transitive pins (Azure.Core 1.55.0, System.ClientModel 1.11.0).

Foundry agent endpoint plumbing:
* FoundryAgent now routes the agent-endpoint constructor through the new GetProjectResponsesClientForAgentEndpoint helper.
* Adds an internal FoundryAgent ctor that takes an existing AIProjectClient plus a parsed agent endpoint so the public extension does not need to construct a second project client.
* Adds public AIProjectClient.AsAIAgent(Uri agentEndpoint, ...) extension. This is the path consumer samples are expected to use for hosted agents because version selection happens server-side.
* Trims the dangling "If you want to construct a FoundryAgent against a project endpoint..." sentence from ParseAgentEndpoint.

Unit tests:
* Four new tests in AzureAIProjectChatClientExtensionsTests cover the AIProjectClient.AsAIAgent(Uri agentEndpoint, ...) overload. 263/263 pass.

Consumer samples (Using-Samples):
* SimpleAgent and SessionFilesClient now read AZURE_AI_PROJECT_ENDPOINT and AZURE_AI_AGENT_NAME (both required, throw on missing), derive the agent endpoint with new Uri($"{projectEndpoint}/agents/{agentName}/endpoint/protocols/openai"), then call aiProjectClient.AsAIAgent(agentEndpoint, ...).
* SessionFilesClient README updated.

Contributor samples (responses/*):
* New HostedContributorRouteExtensions.MapDevTemporaryLocalAgentEndpoint() wildcard route extension so localhost contributor servers accept the per-agent OpenAI endpoint shape the production Hosted runtime exposes.
* All 11 contributor Program.cs files call MapDevTemporaryLocalAgentEndpoint() with a contributor-only warning comment.
* Hosted-Files and Hosted-AzureSearchRag were importing Hosted_Shared_Contributor_Setup but never calling AddDevTemporaryLocalContributorSetup(). Both now call it so HostedSessionIsolationKeyProvider resolves correctly in dev.
* Hosted-AzureSearchRag, Hosted-Files, Hosted-MemoryAgent csprojs drop stale VersionOverride="2.1.0-beta.1" pins.
* Hosted-AzureSearchRag and Hosted-Files csprojs add ProjectReference to Hosted_Shared_Contributor_Setup.
* Hosted-Observability/.dockerignore removed the out/ exclusion that was blocking COPY out/ . in Dockerfile.contributor.

Verified:
* Full solution-scoped build of changed projects: green.
* Scoped CI-parity dotnet format via WSL2 + Docker (mcr.microsoft.com/dotnet/sdk:10.0) over every changed csproj: clean.
* Foundry unit tests: 263/263.
* Contributor docker smoke for 8 hosted samples (publish + docker build + docker run + curl POST to the wildcard route): HTTP 200 / 500 with route matched.
* End-to-end smoke against the real Azure Foundry project with a fresh bearer token: Hosted-Files contributor container served HTTP 200, the agent invoked ListBundledFiles, and returned the expected file name.
2026-05-15 15:43:29 +01:00
319 changed files with 3778 additions and 23452 deletions
+3 -9
View File
@@ -17,7 +17,7 @@ runs:
using: "composite"
steps:
- name: Set up uv
uses: astral-sh/setup-uv@d0cc045d04ccac9d8b7881df0226f9e82c39688e # v6
uses: astral-sh/setup-uv@v6
with:
version-file: "python/pyproject.toml"
enable-cache: true
@@ -32,13 +32,7 @@ runs:
if grep -q "name = \"$pkg\"" "$f"; then
pkg_dir=$(dirname "$f" | sed 's|python/||')
echo "Excluding workspace package: $pkg ($pkg_dir)"
if awk '/^\[tool\.uv\.workspace\]/{f=1;next} /^\[/{f=0} f && /^exclude = \[/{found=1} END{exit !found}' python/pyproject.toml; then
if ! awk '/^\[tool\.uv\.workspace\]/{f=1;next} /^\[/{f=0} f && /^exclude = \[/ && index($0, "\"'"$pkg_dir"'\"")' python/pyproject.toml | grep -q .; then
sed -i.bak '/\[tool\.uv\.workspace\]/,/^\[/ { /^exclude = \[/ s|\]|, "'"$pkg_dir"'"]| }' python/pyproject.toml
fi
else
sed -i.bak '/\[tool\.uv\.workspace\]/a\exclude = ["'"$pkg_dir"'"]' python/pyproject.toml
fi
sed -i.bak '/\[tool\.uv\.workspace\]/a\exclude = ["'"$pkg_dir"'"]' python/pyproject.toml
sed -i.bak '/'"$pkg"' = { workspace = true }/d' python/pyproject.toml
fi
done
@@ -46,4 +40,4 @@ runs:
- name: Install the project
shell: bash
run: |
cd python && uv sync --all-packages --all-extras --dev --prerelease=if-necessary-or-explicit
cd python && uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit
@@ -24,7 +24,7 @@ runs:
using: "composite"
steps:
- name: Set up Node.js environment
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6
uses: actions/setup-node@v6
with:
node-version: 22
@@ -37,7 +37,7 @@ runs:
run: copilot --version && copilot -p "What can you do in one sentence?"
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ inputs.azure-client-id }}
tenant-id: ${{ inputs.azure-tenant-id }}
+3 -9
View File
@@ -44,15 +44,9 @@ updates:
# Maintain dependencies for github-actions
- package-ecosystem: "github-actions"
# Cover both the standard workflow location and our composite actions.
# With `directory: "/"` Dependabot only scans `.github/workflows/*.{yml,yaml}`
# plus a root-level `action.yml/action.yaml`. It does NOT recurse into
# `.github/actions/*/action.yml`, so the glob below is required to keep the
# composite actions in `.github/actions/<name>/` up to date as well.
# Ref: https://docs.github.com/en/code-security/dependabot/working-with-dependabot/dependabot-options-reference#directories-or-directory--
directories:
- "/"
- "/.github/actions/*"
# Workflow files stored in the
# default location of `.github/workflows`
directory: "/"
schedule:
interval: "weekly"
day: "sunday"
+4 -4
View File
@@ -32,13 +32,13 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
uses: actions/checkout@v6
with:
persist-credentials: false
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@9e0d7b8d25671d64c341c19c0152d693099fb5ba # v4
uses: github/codeql-action/init@v4
with:
languages: ${{ matrix.language }}
# If you wish to specify custom queries, you can do so here or in a config file.
@@ -51,7 +51,7 @@ jobs:
# Autobuild attempts to build any compiled languages (C/C++, C#, Go, or Java).
# If this step fails, then you should remove it and run the build manually (see below)
- name: Autobuild
uses: github/codeql-action/autobuild@9e0d7b8d25671d64c341c19c0152d693099fb5ba # v4
uses: github/codeql-action/autobuild@v4
# ℹ️ Command-line programs to run using the OS shell.
# 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
@@ -64,6 +64,6 @@ jobs:
# ./location_of_script_within_repo/buildscript.sh
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@9e0d7b8d25671d64c341c19c0152d693099fb5ba # v4
uses: github/codeql-action/analyze@v4
with:
category: "/language:${{matrix.language}}"
+5 -5
View File
@@ -66,7 +66,7 @@ jobs:
- name: Check PR author team membership
id: check
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
env:
TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
PR_NUMBER: ${{ steps.pr.outputs.pr_number }}
@@ -116,7 +116,7 @@ jobs:
steps:
# Safe checkout: base repo only, not the untrusted PR head.
- name: Checkout target repo base
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
uses: actions/checkout@v6
with:
ref: ${{ github.event_name == 'pull_request_target' && github.event.pull_request.base.sha || github.sha }}
fetch-depth: 0
@@ -125,7 +125,7 @@ jobs:
# Private DevFlow checkout: the PAT/token grants access to this repo's code.
- name: Checkout DevFlow
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
uses: actions/checkout@v6
with:
repository: ${{ env.DEVFLOW_REPOSITORY }}
ref: ${{ env.DEVFLOW_REF }}
@@ -135,12 +135,12 @@ jobs:
path: devflow
- name: Set up Python
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Set up uv
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7
uses: astral-sh/setup-uv@v7
with:
version: "0.11.x"
enable-cache: true
+24 -24
View File
@@ -41,8 +41,8 @@ jobs:
functionsChanged: ${{ steps.filter.outputs.functions }}
coreChanged: ${{ steps.filter.outputs.core }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: dorny/paths-filter@d1c1ffe0248fe513906c8e24db8ea791d46f8590 # v3
- uses: actions/checkout@v6
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
@@ -111,7 +111,7 @@ jobs:
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
persist-credentials: false
sparse-checkout: |
@@ -122,7 +122,7 @@ jobs:
declarative-agents
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
uses: actions/setup-dotnet@v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
- name: Build dotnet solutions
@@ -181,7 +181,7 @@ jobs:
runs-on: ${{ matrix.os }}
environment: ${{ matrix.environment }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
persist-credentials: false
sparse-checkout: |
@@ -202,7 +202,7 @@ jobs:
echo "COSMOSDB_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
uses: actions/setup-dotnet@v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
@@ -271,7 +271,7 @@ jobs:
- name: Azure CLI Login
if: github.event_name != 'pull_request' && matrix.integration-tests
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -318,7 +318,7 @@ jobs:
# Generate test reports and check coverage
- name: Generate test reports
if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
uses: danielpalme/ReportGenerator-GitHub-Action@2a82782178b2816d9d6960a7345fdd164791b323 # 5.5.3
uses: danielpalme/ReportGenerator-GitHub-Action@5.5.3
with:
reports: "./TestResults/Coverage/**/*.cobertura.xml"
targetdir: "./TestResults/Reports"
@@ -326,7 +326,7 @@ jobs:
- name: Upload coverage report artifact
if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: CoverageReport-${{ matrix.os }}-${{ matrix.targetFramework }}-${{ matrix.configuration }} # Artifact name
path: ./TestResults/Reports # Directory containing files to upload
@@ -338,7 +338,7 @@ jobs:
- name: Upload integration test results
if: always() && github.event_name != 'pull_request' && matrix.integration-tests
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: dotnet-test-results-${{ matrix.targetFramework }}-${{ matrix.os }}
path: IntegrationTestResults/**/*.junit
@@ -356,7 +356,7 @@ jobs:
env:
configuration: Release
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
persist-credentials: false
sparse-checkout: |
@@ -366,7 +366,7 @@ jobs:
python
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
uses: actions/setup-dotnet@v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
@@ -381,7 +381,7 @@ jobs:
run: dotnet build dotnet/tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj -c "$configuration" --warnaserror
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -442,7 +442,7 @@ jobs:
runs-on: ubuntu-latest
environment: integration
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
persist-credentials: false
sparse-checkout: |
@@ -453,7 +453,7 @@ jobs:
declarative-agents
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
uses: actions/setup-dotnet@v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
@@ -465,7 +465,7 @@ jobs:
dotnet build ./tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests -c Release -f net10.0 --warnaserror
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -522,7 +522,7 @@ jobs:
- name: Upload functions test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: dotnet-test-results-functions-net10.0-ubuntu-latest
path: IntegrationTestResults/**/*.junit
@@ -560,14 +560,14 @@ jobs:
- name: Fail workflow if tests failed
id: check_tests_failed
if: contains(join(needs.*.result, ','), 'failure')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Failed!')
- name: Fail workflow if tests cancelled
id: check_tests_cancelled
if: contains(join(needs.*.result, ','), 'cancelled')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Cancelled!')
@@ -585,7 +585,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
persist-credentials: false
sparse-checkout: |
@@ -597,12 +597,12 @@ jobs:
python-version: "3.13"
os: ${{ runner.os }}
- name: Download all test results from current run
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
uses: actions/download-artifact@v4
with:
pattern: dotnet-test-results-*
path: dotnet-test-results/
- name: Restore report history cache
uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache/restore@v4
with:
path: python/dotnet-integration-report-history.json
key: dotnet-integration-report-history-${{ github.run_id }}
@@ -619,13 +619,13 @@ jobs:
run: cat dotnet-integration-test-report.md >> $GITHUB_STEP_SUMMARY
- name: Save report history cache
if: always()
uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache/save@v4
with:
path: python/dotnet-integration-report-history.json
key: dotnet-integration-report-history-${{ github.run_id }}
- name: Upload trend report
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: dotnet-integration-test-report
path: |
+2 -2
View File
@@ -30,7 +30,7 @@ jobs:
steps:
- name: Check out code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
uses: actions/checkout@v6
with:
fetch-depth: 0
persist-credentials: false
@@ -42,7 +42,7 @@ jobs:
- name: Get changed files
id: changed-files
if: github.event_name == 'pull_request'
uses: jitterbit/get-changed-files@b17fbb00bdc0c0f63fcf166580804b4d2cdc2a42 # v1
uses: jitterbit/get-changed-files@v1
continue-on-error: true
- name: No C# files changed
@@ -29,7 +29,7 @@ jobs:
environment: integration
timeout-minutes: 60
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -50,7 +50,7 @@ jobs:
echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
uses: actions/setup-dotnet@v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
@@ -63,7 +63,7 @@ jobs:
done
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+4 -4
View File
@@ -41,7 +41,7 @@ jobs:
environment: 'integration'
timeout-minutes: 90
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
persist-credentials: false
sparse-checkout: |
@@ -52,13 +52,13 @@ jobs:
declarative-agents
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
uses: actions/setup-dotnet@v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -123,7 +123,7 @@ jobs:
- name: Upload results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: verify-samples-results
path: |
+7 -7
View File
@@ -53,7 +53,7 @@ jobs:
echo "repo=${GITHUB_REPOSITORY}" >> "$GITHUB_OUTPUT"
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
uses: actions/checkout@v6
with:
sparse-checkout: .github/scripts
fetch-depth: 1
@@ -61,7 +61,7 @@ jobs:
- name: Check issue author team membership
id: check
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
env:
TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
ISSUE_NUMBER: ${{ steps.issue.outputs.issue_number }}
@@ -93,7 +93,7 @@ jobs:
steps:
# Safe checkout: base repo only.
- name: Checkout target repo base
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
uses: actions/checkout@v6
with:
fetch-depth: 0
persist-credentials: false
@@ -101,7 +101,7 @@ jobs:
# Private DevFlow (maf-dashboard) checkout.
- name: Checkout DevFlow
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
uses: actions/checkout@v6
with:
repository: ${{ env.DEVFLOW_REPOSITORY }}
ref: ${{ env.DEVFLOW_REF }}
@@ -111,12 +111,12 @@ jobs:
path: devflow
- name: Set up Python
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Set up uv
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7
uses: astral-sh/setup-uv@v7
with:
version: "0.11.x"
enable-cache: true
@@ -126,7 +126,7 @@ jobs:
run: uv sync --frozen
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+1 -1
View File
@@ -13,7 +13,7 @@ jobs:
permissions:
issues: write
steps:
- uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
- uses: actions/github-script@v8
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
script: |
+1 -1
View File
@@ -16,6 +16,6 @@ jobs:
pull-requests: write
steps:
- uses: actions/labeler@f27b608878404679385c85cfa523b85ccb86e213 # v6
- uses: actions/labeler@v6
with:
repo-token: "${{ secrets.GH_ACTIONS_PR_WRITE }}"
+1 -1
View File
@@ -15,7 +15,7 @@ jobs:
pull-requests: write
steps:
- uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
- uses: actions/github-script@v8
name: "Issue/PR: update title"
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
+2 -2
View File
@@ -19,13 +19,13 @@ jobs:
runs-on: ubuntu-22.04
# check out the latest version of the code
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
persist-credentials: false
# Checks the status of hyperlinks in all files
- name: Run linkspector
uses: umbrelladocs/action-linkspector@963b6264d7de32c904942a70b488d3407453049e # v1
uses: umbrelladocs/action-linkspector@v1
with:
reporter: local
filter_mode: nofilter
+1 -1
View File
@@ -19,7 +19,7 @@ jobs:
steps:
- name: Wait for required checks
if: github.event_name == 'pull_request'
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
env:
TIMEOUT_SECONDS: "3600"
INTERVAL_SECONDS: "30"
+6 -6
View File
@@ -27,7 +27,7 @@ jobs:
env:
UV_PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Set up python and install the project
@@ -38,11 +38,11 @@ jobs:
os: ${{ runner.os }}
env:
UV_CACHE_DIR: /tmp/.uv-cache
- uses: actions/cache@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5
- uses: actions/cache@v5
with:
path: ~/.cache/prek
key: prek|${{ matrix.python-version }}|${{ hashFiles('python/.pre-commit-config.yaml') }}
- uses: j178/prek-action@0bb87d7f00b0c99306c8bcb8b8beba1eb581c037 # v1
- uses: j178/prek-action@v1
name: Run Pre-commit Hooks (excluding poe-check)
env:
SKIP: poe-check
@@ -64,7 +64,7 @@ jobs:
env:
UV_PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Set up python and install the project
@@ -93,7 +93,7 @@ jobs:
env:
UV_PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Set up python and install the project
@@ -124,7 +124,7 @@ jobs:
env:
UV_PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Set up python and install the project
@@ -22,7 +22,7 @@ jobs:
UV_PYTHON: "3.13"
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
fetch-depth: 0
@@ -44,7 +44,7 @@ jobs:
- name: Upload dependency range report
# Always publish the report so failures are inspectable even when validation fails.
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: dependency-range-results
path: python/scripts/dependencies/dependency-range-results.json
@@ -53,7 +53,7 @@ jobs:
- name: Create issues for failed dependency candidates
# Always process the report so failed candidates create actionable tracking issues.
if: always()
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: |
const fs = require("fs")
@@ -18,7 +18,7 @@ jobs:
UV_PYTHON: "3.13"
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
fetch-depth: 0
+2 -2
View File
@@ -24,9 +24,9 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up uv
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7
uses: astral-sh/setup-uv@v7
with:
version-file: "python/pyproject.toml"
enable-cache: true
+27 -27
View File
@@ -36,7 +36,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -69,7 +69,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -90,7 +90,7 @@ jobs:
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-openai
path: ./python/pytest.xml
@@ -112,7 +112,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -123,7 +123,7 @@ jobs:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -141,7 +141,7 @@ jobs:
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-azure-openai
path: ./python/pytest.xml
@@ -163,7 +163,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -177,7 +177,7 @@ jobs:
run: curl -fsSL https://ollama.com/install.sh | sh
working-directory: .
- name: Cache Ollama models
uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache@v4
with:
path: ~/.ollama/models
key: ollama-models-qwen2.5-1.5b-nomic-embed-text-v1
@@ -231,7 +231,7 @@ jobs:
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-misc
path: ./python/pytest.xml
@@ -283,7 +283,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -294,7 +294,7 @@ jobs:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -315,7 +315,7 @@ jobs:
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-functions
path: ./python/pytest.xml
@@ -341,7 +341,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -352,7 +352,7 @@ jobs:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -369,7 +369,7 @@ jobs:
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-foundry
path: ./python/pytest.xml
@@ -388,7 +388,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -399,7 +399,7 @@ jobs:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -416,7 +416,7 @@ jobs:
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-foundry-hosting
path: ./python/pytest.xml
@@ -443,7 +443,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -468,7 +468,7 @@ jobs:
run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5 --junitxml=${{ github.workspace }}/python/pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-cosmos
path: ./python/pytest.xml
@@ -496,7 +496,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
@@ -506,12 +506,12 @@ jobs:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Download all test results from current run
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
uses: actions/download-artifact@v4
with:
pattern: test-results-*
path: test-results/
- name: Restore report history cache
uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache/restore@v4
with:
path: python/integration-report-history.json
key: integration-report-history-integration-${{ github.run_id }}
@@ -528,13 +528,13 @@ jobs:
run: cat integration-test-report.md >> $GITHUB_STEP_SUMMARY
- name: Save report history cache
if: always()
uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache/save@v4
with:
path: python/integration-report-history.json
key: integration-report-history-integration-${{ github.run_id }}
- name: Upload unified trend report
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: integration-test-report
path: |
@@ -558,12 +558,12 @@ jobs:
steps:
- name: Fail workflow if tests failed
if: contains(join(needs.*.result, ','), 'failure')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Failed!')
- name: Fail workflow if tests cancelled
if: contains(join(needs.*.result, ','), 'cancelled')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Cancelled!')
+4 -4
View File
@@ -24,8 +24,8 @@ jobs:
outputs:
pythonChanges: ${{ steps.filter.outputs.python}}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: dorny/paths-filter@d1c1ffe0248fe513906c8e24db8ea791d46f8590 # v3
- uses: actions/checkout@v6
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
@@ -59,7 +59,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
@@ -94,7 +94,7 @@ jobs:
# Surface failing tests
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/packages/lab/**.xml
summary: true
+37 -37
View File
@@ -41,8 +41,8 @@ jobs:
foundryHostingChanged: ${{ steps.filter.outputs.foundry_hosting }}
cosmosChanged: ${{ steps.filter.outputs.cosmos }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: dorny/paths-filter@d1c1ffe0248fe513906c8e24db8ea791d46f8590 # v3
- uses: actions/checkout@v6
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
@@ -106,7 +106,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -123,7 +123,7 @@ jobs:
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
@@ -153,7 +153,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -177,7 +177,7 @@ jobs:
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
@@ -186,7 +186,7 @@ jobs:
title: OpenAI integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-openai
path: ./python/pytest.xml
@@ -214,7 +214,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -223,7 +223,7 @@ jobs:
os: ${{ runner.os }}
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -247,7 +247,7 @@ jobs:
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
@@ -256,7 +256,7 @@ jobs:
title: Azure OpenAI integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-azure-openai
path: ./python/pytest.xml
@@ -284,7 +284,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -295,7 +295,7 @@ jobs:
run: curl -fsSL https://ollama.com/install.sh | sh
working-directory: .
- name: Cache Ollama models
uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache@v4
with:
path: ~/.ollama/models
key: ollama-models-qwen2.5-1.5b-nomic-embed-text-v1
@@ -370,7 +370,7 @@ jobs:
kill -KILL -- "-$server_pid" 2>/dev/null || kill -KILL "$server_pid" 2>/dev/null || true
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
@@ -379,7 +379,7 @@ jobs:
title: Misc integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-misc
path: ./python/pytest.xml
@@ -417,7 +417,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -426,7 +426,7 @@ jobs:
os: ${{ runner.os }}
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -448,7 +448,7 @@ jobs:
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
@@ -457,7 +457,7 @@ jobs:
title: Functions integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-functions
path: ./python/pytest.xml
@@ -488,7 +488,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -497,7 +497,7 @@ jobs:
os: ${{ runner.os }}
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -515,7 +515,7 @@ jobs:
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
@@ -524,7 +524,7 @@ jobs:
title: Test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-foundry
path: ./python/pytest.xml
@@ -549,7 +549,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -558,7 +558,7 @@ jobs:
os: ${{ runner.os }}
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -576,7 +576,7 @@ jobs:
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
@@ -585,7 +585,7 @@ jobs:
title: Foundry Hosting integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-foundry-hosting
path: ./python/pytest.xml
@@ -620,7 +620,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -643,7 +643,7 @@ jobs:
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
@@ -652,7 +652,7 @@ jobs:
title: Cosmos integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: test-results-cosmos
path: ./python/pytest.xml
@@ -680,19 +680,19 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Download all test results from current run
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
uses: actions/download-artifact@v4
with:
pattern: test-results-*
path: test-results/
- name: Restore report history cache
uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache/restore@v4
with:
path: python/integration-report-history.json
key: integration-report-history-merge-${{ github.run_id }}
@@ -709,13 +709,13 @@ jobs:
run: cat integration-test-report.md >> $GITHUB_STEP_SUMMARY
- name: Save report history cache
if: always()
uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache/save@v4
with:
path: python/integration-report-history.json
key: integration-report-history-merge-${{ github.run_id }}
- name: Upload unified trend report
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
name: integration-test-report
path: |
@@ -740,13 +740,13 @@ jobs:
- name: Fail workflow if tests failed
id: check_tests_failed
if: contains(join(needs.*.result, ','), 'failure')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Failed!')
- name: Fail workflow if tests cancelled
id: check_tests_cancelled
if: contains(join(needs.*.result, ','), 'cancelled')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Cancelled!')
+2 -2
View File
@@ -23,7 +23,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -56,7 +56,7 @@ jobs:
- name: Build the package
run: uv run poe --directory packages/${{ env.PACKAGE }} build
- name: Release
uses: softprops/action-gh-release@3bb12739c298aeb8a4eeaf626c5b8d85266b0e65 # v2
uses: softprops/action-gh-release@v2
with:
files: |
python/dist/*
+37 -37
View File
@@ -29,7 +29,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -49,7 +49,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 01-get-started --save-report --report-name 01-get-started
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-01-get-started
@@ -82,7 +82,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -111,7 +111,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents --exclude providers --save-report --report-name 02-agents
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents
@@ -130,7 +130,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -152,7 +152,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/openai --save-report --report-name 02-agents-openai
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents-openai
@@ -170,7 +170,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -191,7 +191,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/azure --save-report --report-name 02-agents-azure
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents-azure
@@ -208,7 +208,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -228,7 +228,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/anthropic --save-report --report-name 02-agents-anthropic
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents-anthropic
@@ -242,7 +242,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -257,7 +257,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/github_copilot --save-report --report-name 02-agents-github-copilot
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents-github-copilot
@@ -274,7 +274,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -289,7 +289,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/amazon --save-report --report-name 02-agents-amazon
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents-amazon
@@ -306,7 +306,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -321,7 +321,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/ollama --save-report --report-name 02-agents-ollama
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents-ollama
@@ -341,7 +341,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -363,7 +363,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/foundry --save-report --report-name 02-agents-foundry
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents-foundry
@@ -383,7 +383,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -405,7 +405,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/copilotstudio --save-report --report-name 02-agents-copilotstudio
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents-copilotstudio
@@ -419,7 +419,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -434,7 +434,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/custom --save-report --report-name 02-agents-custom
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-02-agents-custom
@@ -451,7 +451,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -471,7 +471,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 03-workflows --save-report --report-name 03-workflows
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-03-workflows
@@ -491,7 +491,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -506,7 +506,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 04-hosting --save-report --report-name 04-hosting
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-04-hosting
@@ -534,7 +534,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -549,7 +549,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir 05-end-to-end --save-report --report-name 05-end-to-end
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-05-end-to-end
@@ -574,7 +574,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -599,7 +599,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir autogen-migration --save-report --report-name autogen-migration
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-autogen-migration
@@ -633,7 +633,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
@@ -662,7 +662,7 @@ jobs:
cd scripts && uv run python -m sample_validation --subdir semantic-kernel-migration --save-report --report-name semantic-kernel-migration
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-report-semantic-kernel-migration
@@ -690,10 +690,10 @@ jobs:
- validate-autogen-migration
- validate-semantic-kernel-migration
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Download all validation reports
uses: actions/download-artifact@37930b1c2abaa49bbe596cd826c3c89aef350131 # v7
uses: actions/download-artifact@v7
with:
pattern: validation-report-*
path: reports/
@@ -701,7 +701,7 @@ jobs:
- name: Restore validation history
id: cache-restore
uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache/restore@v4
with:
path: validation-history/
key: validation-history-${{ github.run_id }}
@@ -719,13 +719,13 @@ jobs:
run: cat trend-report.md >> "$GITHUB_STEP_SUMMARY"
- name: Save validation history
uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4
uses: actions/cache/save@v4
with:
path: validation-history/
key: validation-history-${{ github.run_id }}
- name: Upload trend report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
if: always()
with:
name: validation-trend-report
@@ -19,9 +19,9 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Download coverage report
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
uses: actions/download-artifact@v8
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
run-id: ${{ github.event.workflow_run.id }}
@@ -46,7 +46,7 @@ jobs:
echo "PR_NUMBER=$PR_NUMBER" >> "$GITHUB_ENV"
- name: Pytest coverage comment
id: coverageComment
uses: MishaKav/pytest-coverage-comment@26f986d2599c288bb62f623d29c2da98609e9cd4 # v1.6.0
uses: MishaKav/pytest-coverage-comment@v1.6.0
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
issue-number: ${{ env.PR_NUMBER }}
+2 -2
View File
@@ -22,7 +22,7 @@ jobs:
env:
UV_PYTHON: "3.11"
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
# Save the PR number to a file since the workflow_run event
# in the coverage report workflow does not have access to it
- name: Save PR number
@@ -42,7 +42,7 @@ jobs:
- name: Check coverage threshold
run: python ${{ github.workspace }}/.github/workflows/python-check-coverage.py python-coverage.xml ${{ env.COVERAGE_THRESHOLD }}
- name: Upload coverage report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v7
with:
path: |
python/python-coverage.xml
+2 -2
View File
@@ -27,7 +27,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -46,7 +46,7 @@ jobs:
# Surface failing tests
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
+2 -2
View File
@@ -31,9 +31,9 @@ jobs:
issues: write
pull-requests: write
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
- uses: actions/setup-python@v5
with:
python-version: '3.13'
-1
View File
@@ -112,7 +112,6 @@
<PackageVersion Include="ModelContextProtocol" Version="1.1.0" />
<!-- Hyperlight -->
<PackageVersion Include="Hyperlight.HyperlightSandbox.Api" Version="0.4.0" />
<PackageVersion Include="Hyperlight.HyperlightSandbox.Guest.Python" Version="0.4.0" />
<!-- Inference SDKs -->
<PackageVersion Include="Microsoft.ML.OnnxRuntimeGenAI" Version="0.10.0" />
<PackageVersion Include="Microsoft.ML.Tokenizers" Version="2.0.0" />
-2
View File
@@ -121,11 +121,9 @@
<Folder Name="/Samples/02-agents/Harness/">
<File Path="samples/02-agents/Harness/README.md" />
<Project Path="samples/02-agents/Harness/Harness_Shared_Console/Harness_Shared_Console.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Shared_Console_OpenAI/Harness_Shared_Console_OpenAI.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Step01_Research/Harness_Step01_Research.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Step02_Research_WithBackgroundAgents/Harness_Step02_Research_WithBackgroundAgents.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Step03_DataProcessing/Harness_Step03_DataProcessing.csproj" />
<Project Path="samples/02-agents/Harness/Harness_Step04_CodeExecution/Harness_Step04_CodeExecution.csproj" />
<Project Path="samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveFramework.csproj" />
<Project Path="samples/02-agents/Harness/ConsoleReactiveComponents/ConsoleReactiveComponents.csproj" />
</Folder>
+3 -3
View File
@@ -1,14 +1,14 @@
<Project>
<PropertyGroup>
<!-- Central version prefix - applies to all nuget packages. -->
<VersionPrefix>1.6.2</VersionPrefix>
<VersionPrefix>1.6.1</VersionPrefix>
<RCNumber>1</RCNumber>
<DateSuffix>260521</DateSuffix>
<DateSuffix>260514</DateSuffix>
<PackageVersion Condition="'$(IsReleaseCandidate)' == 'true'">$(VersionPrefix)-rc$(RCNumber)</PackageVersion>
<PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).$(DateSuffix).1</PackageVersion>
<PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.$(DateSuffix).1</PackageVersion>
<PackageVersion Condition="'$(IsReleased)' == 'true'">$(VersionPrefix)</PackageVersion>
<GitTag>1.6.2</GitTag>
<GitTag>1.6.1</GitTag>
<Configurations>Debug;Release;Publish</Configurations>
<IsPackable>true</IsPackable>
@@ -24,11 +24,6 @@ public static class AnsiEscapes
/// </summary>
public static string MoveCursor(int row, int column) => $"\x1b[{row};{column}H";
/// <summary>
/// Erases the current line from the cursor position to the end of the line (EL 0).
/// </summary>
public static string EraseToEndOfLine => "\x1b[0K";
/// <summary>
/// Erases the entire current line (EL 2).
/// </summary>
@@ -39,7 +39,7 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
{
foreach (string line in props.Title.Split('\n'))
{
Console.Write(AnsiEscapes.MoveCursor(props.Y + row, props.X));
Console.Write(AnsiEscapes.MoveCursor(this.Y + row, this.X));
Console.Write(AnsiEscapes.EraseEntireLine);
Console.Write(line);
row++;
@@ -51,7 +51,7 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
for (int i = 0; i < totalItems; i++)
{
Console.Write(AnsiEscapes.MoveCursor(props.Y + row, props.X));
Console.Write(AnsiEscapes.MoveCursor(this.Y + row, this.X));
Console.Write(AnsiEscapes.EraseEntireLine);
bool isSelected = i == props.SelectedIndex;
@@ -58,11 +58,11 @@ public class TextInput : ConsoleReactiveComponent<TextInputProps, ConsoleReactiv
public override void RenderCore(TextInputProps props, ConsoleReactiveState state)
{
int promptLength = props.Prompt.Length;
int textWidth = props.Width - promptLength;
int textWidth = this.Width - promptLength;
string indent = new(' ', promptLength);
// First line: prompt + start of text
Console.Write(AnsiEscapes.MoveCursor(props.Y, props.X));
Console.Write(AnsiEscapes.MoveCursor(this.Y, this.X));
Console.Write(AnsiEscapes.EraseEntireLine);
Console.Write(props.Prompt);
@@ -90,7 +90,7 @@ public class TextInput : ConsoleReactiveComponent<TextInputProps, ConsoleReactiv
while (offset < props.Text.Length)
{
int chunk = Math.Min(textWidth, props.Text.Length - offset);
Console.Write(AnsiEscapes.MoveCursor(props.Y + row, props.X));
Console.Write(AnsiEscapes.MoveCursor(this.Y + row, this.X));
Console.Write(AnsiEscapes.EraseEntireLine);
Console.Write(indent);
Console.Write(props.Text[offset..(offset + chunk)]);
@@ -17,7 +17,7 @@ public record TextPanelProps : ConsoleReactiveProps
/// <summary>
/// A component that renders a list of pre-rendered string items vertically.
/// Designed for rendering dynamic items in a non-scroll region that may be
/// re-rendered on each update. If the component's <see cref="ConsoleReactiveProps.Height"/>
/// re-rendered on each update. If the component's <see cref="ConsoleReactiveComponent.Height"/>
/// exceeds the number of output lines, leftover lines are erased.
/// </summary>
public class TextPanel : ConsoleReactiveComponent<TextPanelProps, ConsoleReactiveState>
@@ -51,18 +51,18 @@ public class TextPanel : ConsoleReactiveComponent<TextPanelProps, ConsoleReactiv
for (int j = 0; j < lineCount; j++)
{
Console.Write(AnsiEscapes.MoveAndEraseLine(props.Y + currentRow));
Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y + currentRow));
Console.Write(lines[j]);
currentRow++;
}
}
// If the component height exceeds the output, erase leftover lines
if (props.Height > currentRow)
if (this.Height > currentRow)
{
for (int i = currentRow; i < props.Height; i++)
for (int i = currentRow; i < this.Height; i++)
{
Console.Write(AnsiEscapes.MoveAndEraseLine(props.Y + i));
Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y + i));
}
}
}
@@ -52,7 +52,7 @@ public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, Te
}
// Move cursor to the bottom of the scroll area
Console.Write(AnsiEscapes.MoveCursor(props.Y + props.Height - 1, props.X));
Console.Write(AnsiEscapes.MoveCursor(this.Y + this.Height - 1, this.X));
// Output only new items since last rendered
for (int i = state.RenderedCount; i < props.Items.Count; i++)
@@ -9,6 +9,9 @@ namespace Harness.ConsoleReactiveComponents;
/// </summary>
public record TopBottomRuleProps : ConsoleReactiveProps
{
/// <summary>Gets the width of the horizontal rules in characters.</summary>
public int Width { get; init; }
/// <summary>Gets the foreground color of the horizontal rules. If <c>null</c>, the default terminal color is used.</summary>
public ConsoleColor? Color { get; init; }
}
@@ -29,7 +32,7 @@ public class TopBottomRule : ConsoleReactiveComponent<TopBottomRuleProps, Consol
int childrenHeight = 0;
foreach (var child in props.Children)
{
childrenHeight += child.BaseProps?.Height ?? 0;
childrenHeight += child.Height;
}
// Top rule + children + bottom rule
@@ -48,11 +51,11 @@ public class TopBottomRule : ConsoleReactiveComponent<TopBottomRuleProps, Consol
}
// Top rule
Console.Write(AnsiEscapes.MoveCursor(props.Y, props.X));
Console.Write(AnsiEscapes.MoveCursor(this.Y, this.X));
Console.Write(rule);
// Render children stacked below the top rule
int currentY = props.Y + 1;
int currentY = this.Y + 1;
if (props.Color.HasValue)
{
@@ -61,9 +64,10 @@ public class TopBottomRule : ConsoleReactiveComponent<TopBottomRuleProps, Consol
foreach (var child in props.Children)
{
child.BaseProps = child.BaseProps! with { X = props.X, Y = currentY };
child.X = this.X;
child.Y = currentY;
child.Render();
currentY += child.BaseProps.Height;
currentY += child.Height;
}
if (props.Color.HasValue)
@@ -72,7 +76,7 @@ public class TopBottomRule : ConsoleReactiveComponent<TopBottomRuleProps, Consol
}
// Bottom rule
Console.Write(AnsiEscapes.MoveCursor(currentY, props.X));
Console.Write(AnsiEscapes.MoveCursor(currentY, this.X));
Console.Write(rule);
if (props.Color.HasValue)
@@ -3,8 +3,8 @@
namespace Harness.ConsoleReactiveFramework;
/// <summary>
/// Abstract base class for all console UI components. Provides access to layout
/// through <see cref="BaseProps"/> and a <see cref="Render"/> method for drawing to the console.
/// Abstract base class for all console UI components. Provides layout properties
/// (position and size) and a <see cref="Render"/> method for drawing to the console.
/// Derive from <see cref="ConsoleReactiveComponent{TProps, TState}"/> instead of this class directly.
/// </summary>
public abstract class ConsoleReactiveComponent
@@ -13,21 +13,20 @@ public abstract class ConsoleReactiveComponent
{
}
/// <summary>
/// Gets or sets the component's props as the base <see cref="ConsoleReactiveProps"/> type.
/// Used by parent components to set layout (X, Y, Width, Height) on children without
/// knowing the concrete props type.
/// </summary>
public abstract ConsoleReactiveProps? BaseProps { get; set; }
/// <summary>Gets or sets the 1-based column position of the component.</summary>
public int X { get; set; }
/// <summary>Gets or sets the 1-based row position of the component.</summary>
public int Y { get; set; }
/// <summary>Gets or sets the width of the component in columns.</summary>
public int Width { get; set; }
/// <summary>Gets or sets the height of the component in rows.</summary>
public int Height { get; set; }
/// <summary>Renders the component to the console at its current position.</summary>
public abstract void Render();
/// <summary>
/// Invalidates the component's cached render state, causing the next <see cref="Render"/> call
/// to proceed even if props and state have not changed. Use after a screen erase to force repaint.
/// </summary>
public abstract void Invalidate();
}
/// <summary>
@@ -47,13 +46,6 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
/// <summary>Gets or sets the component's props (external configuration).</summary>
public TProps? Props { get; set; }
/// <inheritdoc/>
public override ConsoleReactiveProps? BaseProps
{
get => this.Props;
set => this.Props = (TProps?)value;
}
/// <summary>Gets or sets the component's internal state.</summary>
protected TState? State { get; set; }
@@ -81,8 +73,8 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
return;
}
if (EqualityComparer<TProps>.Default.Equals(this.Props, this._lastRenderedProps)
&& EqualityComparer<TState>.Default.Equals(this.State, this._lastRenderedState))
if (ReferenceEquals(this.Props, this._lastRenderedProps)
&& ReferenceEquals(this.State, this._lastRenderedState))
{
return;
}
@@ -94,16 +86,6 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
}
}
/// <inheritdoc/>
public override void Invalidate()
{
lock (this._renderLock)
{
this._lastRenderedProps = default;
this._lastRenderedState = default;
}
}
/// <summary>
/// Called by <see cref="Render"/> to perform the actual rendering. Override this in derived classes.
/// </summary>
@@ -113,23 +95,11 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
}
/// <summary>
/// Base record for component props. Provides layout properties (position and size)
/// and an optional <see cref="Children"/> collection for composing child components.
/// Base record for component props. Provides an optional <see cref="Children"/> collection
/// for composing child components.
/// </summary>
public record ConsoleReactiveProps
{
/// <summary>Gets the 1-based column position of the component.</summary>
public int X { get; init; }
/// <summary>Gets the 1-based row position of the component.</summary>
public int Y { get; init; }
/// <summary>Gets the width of the component in columns.</summary>
public int Width { get; init; }
/// <summary>Gets the height of the component in rows.</summary>
public int Height { get; init; }
/// <summary>Gets the child components to render within this component.</summary>
public IReadOnlyList<ConsoleReactiveComponent> Children { get; init; } = [];
}
@@ -1,98 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json;
using Microsoft.Agents.AI;
namespace Harness.Shared.Console.Commands;
/// <summary>
/// Handles <c>/session-export &lt;filename&gt;</c> and <c>/session-import &lt;filename&gt;</c>
/// commands for serializing the current session to a file and restoring a session from a file.
/// </summary>
public sealed class SessionCommandHandler : CommandHandler
{
private readonly AIAgent _agent;
/// <summary>
/// Initializes a new instance of the <see cref="SessionCommandHandler"/> class.
/// </summary>
/// <param name="agent">The agent used for session serialization and deserialization.</param>
public SessionCommandHandler(AIAgent agent)
{
this._agent = agent;
}
/// <inheritdoc/>
public override string? GetHelpText() => "/session-export <file> | /session-import <file>";
/// <inheritdoc/>
public override async ValueTask<bool> TryHandleAsync(string input, AgentSession session, IUXStateDriver ux)
{
string command = input.Split(' ', 2)[0];
if (command.Equals("/session-export", StringComparison.OrdinalIgnoreCase))
{
await this.HandleExportAsync(input, session, ux).ConfigureAwait(false);
return true;
}
if (command.Equals("/session-import", StringComparison.OrdinalIgnoreCase))
{
await this.HandleImportAsync(input, ux).ConfigureAwait(false);
return true;
}
return false;
}
private async Task HandleExportAsync(string input, AgentSession session, IUXStateDriver ux)
{
string[] parts = input.Split(' ', 2, StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries);
if (parts.Length < 2)
{
await ux.WriteInfoLineAsync("Usage: /session-export <filename>").ConfigureAwait(false);
return;
}
string filename = parts[1];
try
{
JsonElement serialized = await this._agent.SerializeSessionAsync(session).ConfigureAwait(false);
string json = JsonSerializer.Serialize(serialized);
await File.WriteAllTextAsync(filename, json).ConfigureAwait(false);
await ux.WriteInfoLineAsync($"Session exported to {filename}").ConfigureAwait(false);
}
catch (Exception ex)
{
await ux.WriteInfoLineAsync($"Failed to export session to {filename}: {ex.Message}").ConfigureAwait(false);
}
}
private async Task HandleImportAsync(string input, IUXStateDriver ux)
{
string[] parts = input.Split(' ', 2, StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries);
if (parts.Length < 2)
{
await ux.WriteInfoLineAsync("Usage: /session-import <filename>").ConfigureAwait(false);
return;
}
string filename = parts[1];
try
{
string json = await File.ReadAllTextAsync(filename).ConfigureAwait(false);
JsonElement element = JsonSerializer.Deserialize<JsonElement>(json);
AgentSession newSession = await this._agent.DeserializeSessionAsync(element).ConfigureAwait(false);
await ux.ReplaceSessionAsync(newSession).ConfigureAwait(false);
await ux.WriteInfoLineAsync($"Session imported from {filename}").ConfigureAwait(false);
}
catch (FileNotFoundException)
{
await ux.WriteInfoLineAsync($"File not found: {filename}").ConfigureAwait(false);
}
catch (Exception ex)
{
await ux.WriteInfoLineAsync($"Failed to import session from {filename}: {ex.Message}").ConfigureAwait(false);
}
}
}
@@ -43,7 +43,7 @@ public class AgentModeAndHelp : ConsoleReactiveComponent<AgentModeAndHelpProps,
}
System.Console.Write(AnsiEscapes.SaveCursor);
System.Console.Write(AnsiEscapes.MoveAndEraseLine(props.Y));
System.Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y));
bool hasMode = props.Mode is not null;
@@ -35,7 +35,6 @@ public class AgentStatus : ConsoleReactiveComponent<AgentStatusProps, AgentStatu
];
private readonly Timer _timer;
private AgentStatusProps? _previousProps;
/// <summary>
/// Initializes a new instance of the <see cref="AgentStatus"/> class.
@@ -86,12 +85,7 @@ public class AgentStatus : ConsoleReactiveComponent<AgentStatusProps, AgentStatu
}
System.Console.Write(AnsiEscapes.SaveCursor);
System.Console.Write(AnsiEscapes.MoveCursor(props.Y, props.X));
if (props != this._previousProps)
{
System.Console.Write(AnsiEscapes.EraseToEndOfLine);
this._previousProps = props;
}
System.Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y));
if (props.ShowSpinner)
{
@@ -1,67 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Diagnostics;
using System.Globalization;
using OpenTelemetry;
namespace Harness.Shared.Console;
/// <summary>
/// A simple OpenTelemetry span exporter that writes completed activities (spans) to a text file.
/// Each span is formatted as a human-readable block with timestamps, operation name, duration,
/// status, and any tags/events.
/// </summary>
public sealed class FileSpanExporter : BaseExporter<Activity>
{
private readonly string _filePath;
private readonly object _lock = new();
public FileSpanExporter(string filePath)
{
this._filePath = filePath;
Directory.CreateDirectory(Path.GetDirectoryName(filePath)!);
}
public override ExportResult Export(in Batch<Activity> batch)
{
lock (this._lock)
{
using var writer = new StreamWriter(this._filePath, append: true);
foreach (var activity in batch)
{
WriteActivity(writer, activity);
}
}
return ExportResult.Success;
}
private static void WriteActivity(StreamWriter writer, Activity activity)
{
var start = activity.StartTimeUtc.ToString("yyyy-MM-dd HH:mm:ss.fff", CultureInfo.InvariantCulture);
var duration = activity.Duration.TotalMilliseconds.ToString("F1", CultureInfo.InvariantCulture);
writer.WriteLine($"[{start}] {activity.OperationName} ({duration}ms) [{activity.Status}]");
if (!string.IsNullOrEmpty(activity.DisplayName) && activity.DisplayName != activity.OperationName)
{
writer.WriteLine($" DisplayName: {activity.DisplayName}");
}
foreach (var tag in activity.Tags)
{
writer.WriteLine($" {tag.Key}: {tag.Value}");
}
foreach (var ev in activity.Events)
{
writer.WriteLine($" Event: {ev.Name} @ {ev.Timestamp:HH:mm:ss.fff}");
foreach (var tag in ev.Tags)
{
writer.WriteLine($" {tag.Key}: {tag.Value}");
}
}
writer.WriteLine();
}
}
@@ -19,14 +19,14 @@ namespace Harness.Shared.Console;
public sealed class HarnessAgentRunner : IDisposable
{
private readonly AIAgent _agent;
private readonly AgentSession _session;
private readonly AgentModeProvider? _modeProvider;
private readonly MessageInjectingChatClient? _messageInjector;
private readonly IReadOnlyList<CommandHandler> _commandHandlers;
private readonly IReadOnlyList<ConsoleObserver> _observers;
private readonly IUXStateDriver _ux;
private readonly SemaphoreSlim _inputGate = new(1, 1);
private AgentSession _session;
private readonly SemaphoreSlim _inputGate = new(1, 1);
/// <summary>
/// Initializes a new instance of the <see cref="HarnessAgentRunner"/> class.
@@ -62,25 +62,6 @@ public sealed class HarnessAgentRunner : IDisposable
/// </summary>
public string HelpText { get; }
/// <summary>
/// Replaces the current session with the specified session. Used by the UX driver
/// when importing a serialized session. Acquires the input gate to ensure no
/// concurrent agent turn is reading the session.
/// </summary>
/// <param name="newSession">The new session to use.</param>
internal async Task ReplaceSessionAsync(AgentSession newSession)
{
await this._inputGate.WaitAsync().ConfigureAwait(false);
try
{
this._session = newSession;
}
finally
{
this._inputGate.Release();
}
}
/// <inheritdoc/>
public void Dispose() => this._inputGate.Dispose();
@@ -192,11 +173,6 @@ public sealed class HarnessAgentRunner : IDisposable
}
}
foreach (var observer in this._observers)
{
await observer.OnResponseUpdateAsync(this._ux, update, this._agent, this._session).ConfigureAwait(false);
}
if (!string.IsNullOrEmpty(update.Text))
{
foreach (var observer in this._observers)
@@ -63,7 +63,6 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
getState: () => this.State!,
setState: s => this.SetState(s),
requestShutdown: () => this._shutdownTcs.TrySetResult(true),
replaceSession: s => this.Runner!.ReplaceSessionAsync(s),
modeColors: modeColors);
this.Runner = runnerFactory(this._uxDriver);
@@ -371,7 +370,7 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
};
bottomChildHeight = ListSelection.CalculateHeight(listProps);
listProps = listProps with { Height = bottomChildHeight };
this._listSelection.Height = bottomChildHeight;
this._listSelection.Props = listProps;
bottomChild = this._listSelection;
}
@@ -398,7 +397,8 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
}
bottomChildHeight = TextInput.CalculateHeight(textInputProps, state.ConsoleWidth);
textInputProps = textInputProps with { Width = state.ConsoleWidth, Height = bottomChildHeight };
this._textInput.Width = state.ConsoleWidth;
this._textInput.Height = bottomChildHeight;
this._textInput.Props = textInputProps;
bottomChild = this._textInput;
}
@@ -412,7 +412,8 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
};
bottomChildHeight = TextInput.CalculateHeight(textInputProps, state.ConsoleWidth);
textInputProps = textInputProps with { Width = state.ConsoleWidth, Height = bottomChildHeight };
this._textInput.Width = state.ConsoleWidth;
this._textInput.Height = bottomChildHeight;
this._textInput.Props = textInputProps;
bottomChild = this._textInput;
}
@@ -457,16 +458,6 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
System.Console.Write(AnsiEscapes.EraseScrollbackBuffer);
this._textScrollPanel.Reset();
this._resizedSinceLastRender = false;
// Invalidate all children so they re-render even if props haven't changed
this._rule.Invalidate();
this._textScrollPanel.Invalidate();
this._textPanel.Invalidate();
this._queuedPanel.Invalidate();
this._agentStatus.Invalidate();
this._modeAndHelp.Invalidate();
this._textInput.Invalidate();
this._listSelection.Invalidate();
}
this._scrollRegionBottom = scrollBottom;
@@ -478,35 +469,35 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
? state.ScrollAreaContentItems.Take(state.ScrollAreaContentItems.Count - 1).ToList()
: [];
this._textScrollPanel.X = 1;
this._textScrollPanel.Y = 1;
this._textScrollPanel.Width = state.ConsoleWidth;
this._textScrollPanel.Height = scrollBottom;
this._textScrollPanel.Props = new TextScrollPanelProps
{
X = 1,
Y = 1,
Width = state.ConsoleWidth,
Height = scrollBottom,
Items = scrollItems,
};
this._textScrollPanel.Render();
// Render the text panel for the last (dynamic) item just below the scroll region
this._textPanel.X = 1;
this._textPanel.Y = scrollBottom + 1;
this._textPanel.Width = state.ConsoleWidth;
this._textPanel.Height = textPanelHeight;
this._textPanel.Props = new TextPanelProps
{
X = 1,
Y = scrollBottom + 1,
Width = state.ConsoleWidth,
Height = textPanelHeight,
Items = lastItems,
};
this._textPanel.Render();
// Render queued input items between text panel and agent status
int queuedPanelY = scrollBottom + textPanelHeight + 1;
this._queuedPanel.X = 1;
this._queuedPanel.Y = queuedPanelY;
this._queuedPanel.Width = state.ConsoleWidth;
this._queuedPanel.Height = queuedPanelHeight;
this._queuedPanel.Props = new TextPanelProps
{
X = 1,
Y = queuedPanelY,
Width = state.ConsoleWidth,
Height = queuedPanelHeight,
Items = state.QueuedItems,
};
this._queuedPanel.Render();
@@ -515,41 +506,32 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
int agentStatusY = queuedPanelY + queuedPanelHeight;
if (showStatusAndHelp)
{
this._agentStatus.Props = agentStatusProps with
{
X = 1,
Y = agentStatusY,
Width = state.ConsoleWidth,
Height = agentStatusHeight,
};
this._agentStatus.X = 1;
this._agentStatus.Y = agentStatusY;
this._agentStatus.Width = state.ConsoleWidth;
this._agentStatus.Height = agentStatusHeight;
this._agentStatus.Props = agentStatusProps;
this._agentStatus.Render();
}
// Render the bottom rule + child below the agent status
this._rule.Props = ruleProps with
{
X = 1,
Y = agentStatusY + agentStatusHeight,
};
this._rule.X = 1;
this._rule.Y = agentStatusY + agentStatusHeight;
this._rule.Props = ruleProps;
this._rule.Render();
// Render the mode-and-help line below the bottom rule
if (showStatusAndHelp)
{
int modeAndHelpY = agentStatusY + agentStatusHeight + ruleHeight;
this._modeAndHelp.Props = modeAndHelpProps with
{
X = 1,
Y = modeAndHelpY,
Width = state.ConsoleWidth,
Height = modeAndHelpHeight,
};
int modeAndHelpY = this._rule.Y + ruleHeight;
this._modeAndHelp.X = 1;
this._modeAndHelp.Y = modeAndHelpY;
this._modeAndHelp.Width = state.ConsoleWidth;
this._modeAndHelp.Height = modeAndHelpHeight;
this._modeAndHelp.Props = modeAndHelpProps;
this._modeAndHelp.Render();
}
// Clear the bottom padding line
System.Console.Write(AnsiEscapes.MoveAndEraseLine(state.ConsoleHeight));
// Position cursor for natural typing appearance
this.PositionCursor(state);
}
@@ -563,7 +545,7 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
int textWidth = state.ConsoleWidth - promptLength;
int textLength = state.InputText.Length;
int textInputY = (this._rule.Props?.Y ?? 0) + 1;
int textInputY = this._rule.Y + 1;
if (textWidth <= 0 || textLength == 0)
{
@@ -581,7 +563,7 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
&& state.ListSelectionIndex == state.ListSelectionOptions.Count)
{
int titleLines = state.ListSelectionTitle?.Split('\n').Length ?? 0;
int customOptionY = (this._rule.Props?.Y ?? 0) + 1 + titleLines + state.ListSelectionOptions.Count;
int customOptionY = this._rule.Y + 1 + titleLines + state.ListSelectionOptions.Count;
int cursorCol = 2 + state.ListSelectionCustomInputText.Length + 1;
System.Console.Write(AnsiEscapes.MoveCursor(customOptionY, cursorCol));
}
@@ -1,6 +1,5 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text;
using Harness.ConsoleReactiveComponents;
using Microsoft.Agents.AI;
@@ -25,8 +24,6 @@ public static class HarnessConsole
{
options ??= new();
System.Console.OutputEncoding = Encoding.UTF8;
// Null means use defaults; an explicit (possibly empty) list means use exactly what was provided.
var observers = options.Observers
?? HarnessConsoleOptions.BuildDefaultObservers();
@@ -36,9 +33,7 @@ public static class HarnessConsole
var modeProvider = agent.GetService<AgentModeProvider>();
var messageInjector = agent.GetService<MessageInjectingChatClient>();
AgentSession session = options.SessionFactory is not null
? await options.SessionFactory(agent)
: await agent.CreateSessionAsync();
AgentSession session = await agent.CreateSessionAsync();
using var component = new HarnessAppComponent(
placeholder: userPrompt,
@@ -68,7 +63,6 @@ public static class HarnessConsole
System.Console.ResetColor();
System.Console.Write(AnsiEscapes.ResetScrollRegion);
System.Console.Write(AnsiEscapes.EraseScrollbackBuffer);
System.Console.Write(AnsiEscapes.EraseEntireScreen);
System.Console.Write(AnsiEscapes.MoveCursor(1, 1));
System.Console.WriteLine("Goodbye!");
@@ -45,12 +45,6 @@ public class HarnessConsoleOptions
/// </summary>
public Dictionary<string, ConsoleColor> ModeColors { get; set; } = new(DefaultModeColors, StringComparer.OrdinalIgnoreCase);
/// <summary>
/// Gets or sets an optional factory for creating the <see cref="AgentSession"/>.
/// When <see langword="null"/> (the default), <see cref="AIAgent.CreateSessionAsync"/> is used.
/// </summary>
public Func<AIAgent, Task<AgentSession>>? SessionFactory { get; set; }
/// <summary>
/// Creates the default set of observers without planning support.
/// Includes tool call display, tool approval, error display, reasoning display,
@@ -134,7 +128,6 @@ public class HarnessConsoleOptions
new ExitCommandHandler(),
new TodoCommandHandler(todoProvider),
new ModeCommandHandler(modeProvider, modeColors ?? DefaultModeColors),
new SessionCommandHandler(agent),
];
}
}
@@ -1,7 +1,6 @@
// Copyright (c) Microsoft. All rights reserved.
using Harness.ConsoleReactiveComponents;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
namespace Harness.Shared.Console;
@@ -17,7 +16,6 @@ internal sealed class HarnessConsoleUXStateDriver : IUXStateDriver
private readonly Func<HarnessAppComponentState> _getState;
private readonly Action<HarnessAppComponentState> _setState;
private readonly Action _requestShutdown;
private readonly Func<AgentSession, Task> _replaceSession;
private readonly IReadOnlyDictionary<string, ConsoleColor>? _modeColors;
private readonly List<string> _outputItems = [];
private readonly object _stateLock = new();
@@ -34,19 +32,16 @@ internal sealed class HarnessConsoleUXStateDriver : IUXStateDriver
/// <param name="getState">Returns the component's current state.</param>
/// <param name="setState">Replaces the component's state and triggers a re-render.</param>
/// <param name="requestShutdown">Callback invoked when a command handler requests application shutdown.</param>
/// <param name="replaceSession">Callback invoked to replace the current agent session (e.g., on import).</param>
/// <param name="modeColors">Optional mapping of mode names to console colors.</param>
public HarnessConsoleUXStateDriver(
Func<HarnessAppComponentState> getState,
Action<HarnessAppComponentState> setState,
Action requestShutdown,
Func<AgentSession, Task> replaceSession,
IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
{
this._getState = getState;
this._setState = setState;
this._requestShutdown = requestShutdown;
this._replaceSession = replaceSession;
this._modeColors = modeColors;
this._currentMode = getState().ModeText;
}
@@ -410,7 +405,4 @@ internal sealed class HarnessConsoleUXStateDriver : IUXStateDriver
/// <inheritdoc/>
public void RequestShutdown() => this._requestShutdown();
/// <inheritdoc/>
public Task ReplaceSessionAsync(AgentSession newSession) => this._replaceSession(newSession);
}
@@ -1,55 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
#pragma warning disable VSTHRD002 // Synchronous waits are required by OpenTelemetry enrichment callbacks.
using OpenTelemetry;
using OpenTelemetry.Trace;
namespace Harness.Shared.Console;
/// <summary>
/// Provides factory methods for creating pre-configured OpenTelemetry tracing for harness samples.
/// </summary>
public static class HarnessTracing
{
/// <summary>
/// Creates a <see cref="TracerProvider"/> that captures spans from the specified source and HTTP client activity,
/// enriching HTTP spans with full request/response headers and bodies, and exports all spans to a timestamped
/// text file in the application base directory.
/// </summary>
/// <param name="sourceName">The activity source name to subscribe to (e.g., "Harness.Research").</param>
/// <returns>A configured <see cref="TracerProvider"/>, or <see langword="null"/> if the builder returns null.</returns>
public static TracerProvider? CreateFileTracerProvider(string sourceName)
{
var traceLogPath = Path.Combine(AppContext.BaseDirectory, $"traces_{DateTime.UtcNow:yyyyMMdd_HHmmss}_{Guid.NewGuid()}.log");
return Sdk.CreateTracerProviderBuilder()
.AddSource(sourceName)
.AddHttpClientInstrumentation((options) =>
{
options.EnrichWithHttpRequestMessage = (activity, request) =>
{
activity.SetTag("http.request.headers", request.Headers.ToString());
if (request.Content != null)
{
activity.SetTag("http.request.content.headers", request.Content.Headers.ToString());
var content = request.Content.ReadAsStringAsync().GetAwaiter().GetResult();
activity.SetTag("http.request.content.body", content);
}
};
options.EnrichWithHttpResponseMessage = (activity, response) =>
{
activity.SetTag("http.response.headers", response.Headers.ToString());
if (response.Content != null)
{
activity.SetTag("http.response.content.headers", response.Content.Headers.ToString());
var content = response.Content.ReadAsStringAsync().GetAwaiter().GetResult();
activity.SetTag("http.response.content.body", content);
}
};
})
.AddProcessor(new SimpleActivityExportProcessor(new FileSpanExporter(traceLogPath)))
.Build();
}
}
@@ -7,11 +7,6 @@
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="OpenTelemetry" />
<PackageReference Include="OpenTelemetry.Instrumentation.Http" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
<ProjectReference Include="..\ConsoleReactiveFramework\ConsoleReactiveFramework.csproj" />
@@ -1,6 +1,5 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
namespace Harness.Shared.Console;
@@ -118,11 +117,4 @@ public interface IUXStateDriver
/// on the owning component.
/// </summary>
void RequestShutdown();
/// <summary>
/// Replaces the current agent session with the specified session (e.g., after importing
/// a serialized session from a file).
/// </summary>
/// <param name="newSession">The new session to use.</param>
Task ReplaceSessionAsync(AgentSession newSession);
}
@@ -24,17 +24,6 @@ public abstract class ConsoleObserver
{
}
/// <summary>
/// Called for each <see cref="AgentResponseUpdate"/> in the response stream, regardless of
/// whether it contains content. Override to inspect update-level metadata such as
/// <see cref="AgentResponseUpdate.RawRepresentation"/> for provider-specific events.
/// </summary>
/// <param name="ux">The UX state driver, used for rendering output.</param>
/// <param name="update">The streaming response update.</param>
/// <param name="agent">The agent being interacted with.</param>
/// <param name="session">The current agent session.</param>
public virtual Task OnResponseUpdateAsync(IUXStateDriver ux, AgentResponseUpdate update, AIAgent agent, AgentSession session) => Task.CompletedTask;
/// <summary>
/// Called for each <see cref="AIContent"/> item in the response stream.
/// </summary>
@@ -1,19 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="OpenAI" />
<PackageReference Include="Microsoft.Extensions.AI" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
</ItemGroup>
</Project>
@@ -1,61 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
#pragma warning disable OPENAI001 // Suppress experimental API warnings for Responses API usage.
using Harness.Shared.Console.Observers;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Responses;
namespace Harness.Shared.Console.OpenAI;
/// <summary>
/// Detects and displays error/incomplete status from OpenAI Responses API streaming updates.
/// Handles <see cref="StreamingResponseFailedUpdate"/> and <see cref="StreamingResponseIncompleteUpdate"/>
/// which are not surfaced as <see cref="ErrorContent"/> by the chat client.
/// </summary>
/// <remarks>
/// Note: <see cref="StreamingResponseErrorUpdate"/> is already handled by the SDK — it produces
/// an <see cref="ErrorContent"/> which is displayed by <see cref="ErrorDisplayObserver"/>.
/// This observer covers the cases where the SDK does not produce <see cref="ErrorContent"/>.
/// </remarks>
public sealed class OpenAIResponsesErrorObserver : ConsoleObserver
{
/// <inheritdoc/>
public override async Task OnResponseUpdateAsync(IUXStateDriver ux, AgentResponseUpdate update, AIAgent agent, AgentSession session)
{
// AgentResponseUpdate.RawRepresentation is the ChatResponseUpdate,
// whose RawRepresentation is the underlying StreamingResponseUpdate.
object? rawUpdate = (update.RawRepresentation as ChatResponseUpdate)?.RawRepresentation
?? update.RawRepresentation;
switch (rawUpdate)
{
case StreamingResponseFailedUpdate failedUpdate:
// Only display if the response has error details populated.
// When error is null, a follow-up StreamingResponseErrorUpdate typically
// carries the real error — the SDK surfaces that as ErrorContent,
// which is displayed by ErrorDisplayObserver.
if (failedUpdate.Response?.Error is { } error)
{
string errorMessage = error.Message ?? "Unknown error";
string? errorCode = error.Code.ToString();
string errorText = $"❌ Response failed: {errorMessage}";
if (!string.IsNullOrEmpty(errorCode))
{
errorText += $" (code: {errorCode})";
}
await ux.WriteInfoLineAsync(errorText, ConsoleColor.Red);
}
break;
case StreamingResponseIncompleteUpdate incompleteUpdate:
string? reason = incompleteUpdate.Response?.IncompleteStatusDetails?.Reason?.ToString();
string incompleteText = $"⚠️ Response incomplete: {reason ?? "unknown reason"}";
await ux.WriteInfoLineAsync(incompleteText, ConsoleColor.Yellow);
break;
}
}
}
@@ -13,10 +13,9 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Harness\Microsoft.Agents.AI.Harness.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
<ProjectReference Include="..\Harness_Shared_Console_OpenAI\Harness_Shared_Console_OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -3,18 +3,19 @@
#pragma warning disable OPENAI001 // Suppress experimental API warnings for Responses API usage.
using System.Text;
using Harness.Shared.Console;
using Harness.Shared.Console.Observers;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Responses;
namespace Harness.Shared.Console.OpenAI;
namespace SampleApp;
/// <summary>
/// Displays web search activity in the scroll area. Shows search queries,
/// page opens, and find-in-page actions as they stream in from the API.
/// </summary>
public sealed class OpenAIResponsesWebSearchDisplayObserver : ConsoleObserver
internal sealed class OpenAIResponsesWebSearchDisplayObserver : ConsoleObserver
{
private const int MaxQueryDisplayLength = 120;
@@ -16,26 +16,20 @@
#pragma warning disable MAAI001 // Suppress experimental API warnings for Agents AI experiments.
using System.ClientModel.Primitives;
using Azure.AI.Projects;
using Azure.Identity;
using Harness.Shared.Console;
using Harness.Shared.Console.OpenAI;
using Harness.Shared.Console.ToolFormatters;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI;
using OpenAI.Responses;
using SampleApp;
var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4";
const int MaxContextWindowTokens = 1_050_000;
const int MaxOutputTokens = 128_000;
const string TracingSourceName = "Harness.Research";
// Set up OpenTelemetry tracing that writes spans to a text file.
// This captures all agent activity (tool calls, model invocations, compaction, etc.)
// as well as HTTP requests made by the underlying HttpClient transport.
using var tracerProvider = HarnessTracing.CreateFileTracerProvider(TracingSourceName);
// Create a HarnessAgent with the Harness providers (TodoProvider and AgentModeProvider)
// and research-focused instructions including the mandatory planning workflow.
@@ -69,22 +63,23 @@ var instructions =
// Only custom instructions, a WebBrowsingTool, and FileAccess opt-out are needed.
AIAgent agent =
// Create an OpenAIClient that communicates with the Foundry responses service.
new AIProjectClient(
new Uri(endpoint),
new OpenAIClient(
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
new DefaultAzureCredential(),
new AIProjectClientOptions { RetryPolicy = new ClientRetryPolicy(3) }) // Enable retries to improve resiliency.
.GetProjectOpenAIClient()
new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"),
new OpenAIClientOptions()
{
Endpoint = new Uri(endpoint),
RetryPolicy = new ClientRetryPolicy(3) // Enable retries to improve resiliency.
})
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsIChatClientWithStoredOutputDisabled(deploymentName) // We want to manage chat history locally (not stored in the responses service), so that we can manage compaction ourselves.
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
{
Name = "ResearchAgent",
Description = "A research assistant that plans and executes research tasks.",
DisableFileAccess = true, // If enabled, this would allow the agent to read/write files in a working directory
OpenTelemetrySourceName = TracingSourceName, // Use our custom source name so spans are captured by the TracerProvider above.
DisableFileMemory = true, // If enabled, this would allow the agent to store memories as files in a directory associated with the current session
FileMemoryStore = new FileSystemAgentFileStore( // Configure the file memory provider to store files in a local folder called "agent-files".
Path.Combine(AppContext.BaseDirectory, "agent-files")),
ChatOptions = new ChatOptions
@@ -108,7 +103,6 @@ await HarnessConsole.RunAgentAsync(
{
Observers = [
new OpenAIResponsesWebSearchDisplayObserver(),
new OpenAIResponsesErrorObserver(),
.. HarnessConsoleOptions.BuildObserversWithPlanning(
agent,
planModeName: "plan",
@@ -13,10 +13,9 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Harness\Microsoft.Agents.AI.Harness.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
<ProjectReference Include="..\Harness_Shared_Console_OpenAI\Harness_Shared_Console_OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -13,42 +13,36 @@
#pragma warning disable MAAI001 // Suppress experimental API warnings for Agents AI experiments.
using System.ClientModel.Primitives;
using Azure.AI.Projects;
using Azure.Identity;
using Harness.Shared.Console;
using Harness.Shared.Console.OpenAI;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI;
using OpenAI.Responses;
var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4";
const int MaxContextWindowTokens = 1_050_000;
const int MaxOutputTokens = 128_000;
const string TracingSourceName = "Harness.SubAgents";
// Set up OpenTelemetry tracing that writes spans to a text file.
using var tracerProvider = HarnessTracing.CreateFileTracerProvider(TracingSourceName);
// Create the AIProjectClient for communicating with the Foundry responses service.
var projectClient = new AIProjectClient(
new Uri(endpoint),
new DefaultAzureCredential(),
new AIProjectClientOptions { RetryPolicy = new ClientRetryPolicy(3) });
// --- Background agent: Web Search Agent ---
// This agent uses the HarnessAgent's built-in HostedWebSearchTool to search the web.
// Features not needed by this sub-agent are disabled.
AIAgent webSearchAgent =
projectClient
.GetProjectOpenAIClient()
new OpenAIClient(
new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"),
new OpenAIClientOptions()
{
Endpoint = new Uri(endpoint),
RetryPolicy = new ClientRetryPolicy(3)
})
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsIChatClientWithStoredOutputDisabled(deploymentName)
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
{
Name = "WebSearchAgent",
Description = "An agent that can search the web to find information.",
OpenTelemetrySourceName = TracingSourceName,
DisableTodoProvider = true,
DisableAgentModeProvider = true,
DisableFileMemory = true, // If enabled, this would allow the agent to store memories as files in a directory associated with the current session
@@ -88,22 +82,29 @@ var parentInstructions =
// This agent orchestrates the sub-agent to look up stock prices in parallel.
// Most features are disabled since the parent only needs SubAgentsProvider.
AIAgent parentAgent =
projectClient
.GetProjectOpenAIClient()
new OpenAIClient(
new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"),
new OpenAIClientOptions()
{
Endpoint = new Uri(endpoint),
RetryPolicy = new ClientRetryPolicy(3)
})
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsIChatClientWithStoredOutputDisabled(deploymentName)
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
{
Name = "StockPriceResearcher",
Description = "An agent that researches stock prices using background agents.",
OpenTelemetrySourceName = TracingSourceName,
DisableTodoProvider = true,
DisableAgentModeProvider = true,
DisableFileMemory = true, // If enabled, this would allow the agent to store memories as files in a directory associated with the current session
DisableFileAccess = true, // If enabled, this would allow the agent to read/write files in a working directory
DisableToolApproval = true, // If enabled, this allows don't-ask-again approval functionality.
DisableWebSearch = true,
BackgroundAgents = [webSearchAgent],
AIContextProviders =
[
new BackgroundAgentsProvider([webSearchAgent]),
],
ChatOptions = new ChatOptions
{
Instructions = parentInstructions,
@@ -114,8 +115,4 @@ AIAgent parentAgent =
// Run the interactive console session.
await HarnessConsole.RunAgentAsync(
parentAgent,
userPrompt: "Enter a list of stock tickers (e.g., BAC, MSFT, BA):",
options: new HarnessConsoleOptions
{
Observers = [new OpenAIResponsesErrorObserver(), .. HarnessConsoleOptions.BuildDefaultObservers()],
});
userPrompt: "Enter a list of stock tickers (e.g., BAC, MSFT, BA):");
@@ -13,8 +13,8 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Harness\Microsoft.Agents.AI.Harness.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
</ItemGroup>
@@ -16,21 +16,18 @@
#pragma warning disable MAAI001 // Suppress experimental API warnings for Agents AI experiments.
using System.ClientModel.Primitives;
using Azure.AI.Projects;
using Azure.Identity;
using Harness.Shared.Console;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI;
using OpenAI.Responses;
var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4";
const int MaxContextWindowTokens = 1_050_000;
const int MaxOutputTokens = 128_000;
const string TracingSourceName = "Harness.DataProcessing";
// Set up OpenTelemetry tracing that writes spans to a text file.
using var tracerProvider = HarnessTracing.CreateFileTracerProvider(TracingSourceName);
var instructions =
"""
@@ -61,18 +58,19 @@ var instructions =
// sample's working/ folder (copied to the output directory) so it works regardless of cwd.
// Unused features are disabled.
AIAgent agent =
new AIProjectClient(
new Uri(endpoint),
new DefaultAzureCredential(),
new AIProjectClientOptions { RetryPolicy = new ClientRetryPolicy(3) })
.GetProjectOpenAIClient()
new OpenAIClient(
new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"),
new OpenAIClientOptions()
{
Endpoint = new Uri(endpoint),
RetryPolicy = new ClientRetryPolicy(3)
})
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsIChatClientWithStoredOutputDisabled(deploymentName)
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
{
Name = "DataAnalyst",
Description = "A data analyst assistant that reads, analyzes, and processes data files.",
OpenTelemetrySourceName = TracingSourceName,
FileAccessStore = new FileSystemAgentFileStore(Path.Combine(AppContext.BaseDirectory, "working")),
DisableTodoProvider = true,
DisableAgentModeProvider = true,
@@ -1,29 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.Projects" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Hyperlight.HyperlightSandbox.Guest.Python" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Harness\Microsoft.Agents.AI.Harness.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hyperlight\Microsoft.Agents.AI.Hyperlight.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
</ItemGroup>
<ItemGroup>
<Content Include="skills\**\*" CopyToOutputDirectory="PreserveNewest" />
</ItemGroup>
</Project>
@@ -1,122 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates a HarnessAgent with ALL features enabled, plus:
// - Hyperlight CodeAct (HyperlightCodeActProvider) for sandboxed Python code execution
// - Skills (AgentSkillsProvider) discovering a local "regex-tester" skill
//
// The agent can plan tasks with todos, manage modes, store memories, read/write files,
// search the web, approve sensitive tools, discover and use skills, and execute arbitrary
// Python code in a Hyperlight sandbox — all pre-configured by the HarnessAgent.
//
// Try asking: "Help me write a regex that matches valid email addresses, then test it."
//
// Special commands:
// /todos — Display the current todo list without invoking the agent.
// /mode — Get or set the current agent mode.
// /exit — End the session.
#pragma warning disable OPENAI001 // Suppress experimental API warnings for Responses API usage.
#pragma warning disable MAAI001 // Suppress experimental API warnings for Agents AI experiments.
using System.ClientModel.Primitives;
using Azure.AI.Projects;
using Azure.Identity;
using Harness.Shared.Console;
using HyperlightSandbox.Guest.Python;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Hyperlight;
using Microsoft.Extensions.AI;
var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4";
const int MaxContextWindowTokens = 1_050_000;
const int MaxOutputTokens = 128_000;
const string TracingSourceName = "Harness.CodeExecution";
// Set up OpenTelemetry tracing that writes spans to a text file.
using var tracerProvider = HarnessTracing.CreateFileTracerProvider(TracingSourceName);
// Create the HyperlightCodeActProvider with the Python/Wasm backend.
// The guest module path is resolved automatically from the Hyperlight.HyperlightSandbox.Guest.Python NuGet package.
using var codeAct = new HyperlightCodeActProvider(
HyperlightCodeActProviderOptions.CreateForWasm(PythonGuestModule.GetModulePath()));
var instructions =
"""
## Technical Assistant Instructions
You are a code-powered technical assistant. You can execute Python code in a sandboxed environment
to solve problems precisely rather than guessing. You also have access to skills that provide
structured workflows for specific technical tasks.
### Code Execution
When a problem requires computation, validation, or testing:
- Write Python code and use `execute_code` to run it in the sandbox.
- Always verify results by running the code rather than reasoning about what would happen.
- If code fails, read the error message carefully, fix the issue, and retry.
### Skills
You have access to discoverable skills. When a task matches a skill's description:
- Follow the skill's instructions carefully.
- Use the skill's reference materials for context.
- Combine the skill's workflow with code execution when appropriate.
### Planning and Research
For complex tasks:
- Break the problem into steps using your todo list.
- Research background information using web search when needed.
- Save important findings to file memory for later reference.
### Presenting Results
- Show your work: include the code you ran and its output.
- Explain what each part of your solution does.
- If applicable, save final results to file memory.
""";
// Create the agent with ALL HarnessAgent features enabled plus Hyperlight CodeAct.
// No Disable* flags are set — TodoProvider, AgentModeProvider, FileMemory, FileAccess,
// ToolApproval, WebSearch, and AgentSkillsProvider are all active.
AIAgent agent =
new AIProjectClient(
new Uri(endpoint),
new DefaultAzureCredential(),
new AIProjectClientOptions { RetryPolicy = new ClientRetryPolicy(3) })
.GetProjectOpenAIClient()
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
{
Name = "CodeExecutionAgent",
Description = "A technical assistant with sandboxed code execution and skill-based workflows.",
OpenTelemetrySourceName = TracingSourceName,
// Point the file memory at a local folder for persistent memory across sessions.
FileMemoryStore = new FileSystemAgentFileStore(Path.Combine(AppContext.BaseDirectory, "agent-files")),
// Add the HyperlightCodeActProvider so the agent can execute Python code in a sandbox.
AIContextProviders = [codeAct],
ChatOptions = new ChatOptions
{
Instructions = instructions,
MaxOutputTokens = MaxOutputTokens,
Reasoning = new() { Effort = ReasoningEffort.Medium },
},
});
// Run the interactive console session using the shared HarnessConsole helper.
await HarnessConsole.RunAgentAsync(
agent,
userPrompt: "Ask me a technical question, or try: \"Help me write a regex that matches valid email addresses.\"",
new HarnessConsoleOptions
{
Observers = HarnessConsoleOptions.BuildObserversWithPlanning(
agent,
planModeName: "plan",
executionModeName: "execute",
maxContextWindowTokens: MaxContextWindowTokens,
maxOutputTokens: MaxOutputTokens),
CommandHandlers = HarnessConsoleOptions.BuildDefaultCommandHandlers(agent),
});
@@ -1,51 +0,0 @@
# Harness Step 04 — Code Execution (Hyperlight + Skills)
This sample demonstrates a HarnessAgent with **all features enabled**, plus:
- **Hyperlight CodeAct** — sandboxed Python code execution via `execute_code` (requires KVM)
- **Skills** — file-based skill discovery (a `regex-tester` skill is included)
The agent can plan tasks, manage modes, store memories, read/write files, search the web, approve sensitive operations, discover and use skills, and execute arbitrary Python code — all pre-configured by the HarnessAgent.
## Prerequisites
- .NET 10 SDK
- An Azure AI Foundry project endpoint
- KVM-capable host (the Hyperlight sandbox runs code in micro-VMs)
## Environment Variables
| Variable | Description |
|----------|-------------|
| `AZURE_AI_PROJECT_ENDPOINT` | Your Azure AI Foundry project endpoint |
| `AZURE_AI_MODEL_DEPLOYMENT_NAME` | Model deployment name (default: `gpt-5.4`) |
## Running
```bash
dotnet run
```
## What to Try
- **Regex testing**: "Help me write a regex that matches valid email addresses, then test it against some examples."
- **Code execution**: "Calculate the first 20 prime numbers using the Sieve of Eratosthenes."
- **Skill + code combo**: "I need a regex for ISO 8601 dates — test it thoroughly with edge cases."
## Included Skill
The `skills/regex-tester/` skill instructs the agent to validate regex patterns by executing Python test code in the Hyperlight sandbox. It includes a regex cheatsheet as reference material.
## Features Enabled
| Feature | Description |
|---------|-------------|
| TodoProvider | Task planning and tracking (`/todos` command) |
| AgentModeProvider | Mode switching (`/mode` command) |
| FileMemoryProvider | Persistent memory stored as files |
| FileAccessProvider | Read/write files in a working directory |
| ToolApproval | Don't-ask-again approval for sensitive tools |
| WebSearch | Built-in hosted web search |
| AgentSkillsProvider | Discovers and uses skills from the `skills/` folder |
| HyperlightCodeActProvider | Sandboxed Python execution via `execute_code` |
| OpenTelemetry | Trace logging to a text file |
@@ -1,36 +0,0 @@
---
name: regex-tester
description: Validate, test, and debug regular expressions by executing them against sample inputs. Use when asked to build, verify, or explain a regex pattern.
---
## Usage
When the user asks you to create, validate, or debug a regular expression:
1. **Understand the requirement** — clarify what the pattern should match and what it should reject.
2. **Consult the cheatsheet** — review `references/regex-cheatsheet.md` for syntax reminders if needed.
3. **Write and execute test code** — use the `execute_code` tool to run Python code that:
- Compiles the regex with `re.compile()`
- Tests it against a set of positive examples (should match) and negative examples (should not match)
- Extracts and displays any capturing groups
- Reports pass/fail for each test case
4. **Iterate** — if any test fails, refine the pattern and re-run until all cases pass.
5. **Present the result** — give the user the final pattern, explain what each part does, and show the test results.
## Example Test Script
```python
import re
pattern = re.compile(r'^[\w.+-]+@[\w-]+\.[\w.-]+$')
positives = ["user@example.com", "first.last+tag@sub.domain.org"]
negatives = ["@missing.com", "no-at-sign", "spaces in@address.com"]
for s in positives:
assert pattern.match(s), f"FAIL: expected match for '{s}'"
for s in negatives:
assert not pattern.match(s), f"FAIL: expected no match for '{s}'"
print("All tests passed!")
```
@@ -1,97 +0,0 @@
# Regex Quick Reference (Python `re` module)
## Character Classes
| Pattern | Matches |
|---------|---------|
| `.` | Any character except newline |
| `\d` | Digit `[0-9]` |
| `\D` | Non-digit |
| `\w` | Word character `[a-zA-Z0-9_]` |
| `\W` | Non-word character |
| `\s` | Whitespace `[ \t\n\r\f\v]` |
| `\S` | Non-whitespace |
| `[abc]` | Any of a, b, or c |
| `[^abc]`| Any character except a, b, c |
| `[a-z]` | Range: a through z |
## Quantifiers
| Pattern | Meaning |
|---------|---------|
| `*` | 0 or more (greedy) |
| `+` | 1 or more (greedy) |
| `?` | 0 or 1 (greedy) |
| `{n}` | Exactly n |
| `{n,}` | n or more |
| `{n,m}` | Between n and m |
| `*?`, `+?`, `??` | Non-greedy versions |
## Anchors
| Pattern | Meaning |
|---------|---------|
| `^` | Start of string (or line with `re.MULTILINE`) |
| `$` | End of string (or line with `re.MULTILINE`) |
| `\b` | Word boundary |
| `\B` | Non-word boundary |
## Groups and Backreferences
| Pattern | Meaning |
|---------|---------|
| `(...)` | Capturing group |
| `(?:...)`| Non-capturing group |
| `(?P<name>...)` | Named group |
| `\1` | Backreference to group 1 |
| `(?=...)` | Positive lookahead |
| `(?!...)` | Negative lookahead |
| `(?<=...)` | Positive lookbehind |
| `(?<!...)` | Negative lookbehind |
## Flags
| Flag | Effect |
|------|--------|
| `re.IGNORECASE` / `re.I` | Case-insensitive matching |
| `re.MULTILINE` / `re.M` | `^`/`$` match line boundaries |
| `re.DOTALL` / `re.S` | `.` matches newline |
| `re.VERBOSE` / `re.X` | Allow comments and whitespace |
## Common Patterns
| Use Case | Pattern |
|----------|---------|
| Email (simple) | `^[\w.+-]+@[\w-]+\.[\w.-]+$` |
| IPv4 address | `^\d{1,3}(\.\d{1,3}){3}$` |
| ISO date | `^\d{4}-\d{2}-\d{2}$` |
| URL (http/https) | `^https?://[^\s/$.?#].[^\s]*$` |
| Phone (US) | `^(\+1)?[-.\s]?\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}$` |
## Python API
```python
import re
# Test if a string matches
re.match(r'pattern', "string") # match at start
re.search(r'pattern', "string") # match anywhere
re.fullmatch(r'pattern', "string") # match entire string
# Find all matches
re.findall(r'\d+', "abc 123 def 456") # ['123', '456']
# Named groups
m = re.match(r'(?P<year>\d{4})-(?P<month>\d{2})-(?P<day>\d{2})', "2025-01-15")
m.group('year') # '2025'
# Replace
re.sub(r'\d+', 'X', "abc 123 def") # 'abc X def'
# Split
re.split(r',+', "a,b,,c") # ['a', 'b', 'c']
# Compile for reuse
pattern = re.compile(r'^\d{4}-\d{2}-\d{2}$')
pattern.match("2025-01-15") # Match object
```
+10 -28
View File
@@ -28,7 +28,9 @@ public sealed class A2AAgent : AIAgent
private static readonly AIAgentMetadata s_agentMetadata = new("a2a");
private readonly IA2AClient _a2aClient;
private readonly A2AAgentOptions _agentOptions;
private readonly string? _id;
private readonly string? _name;
private readonly string? _description;
private readonly ILogger _logger;
/// <summary>
@@ -36,37 +38,17 @@ public sealed class A2AAgent : AIAgent
/// </summary>
/// <param name="a2aClient">The A2A client to use for interacting with A2A agents.</param>
/// <param name="id">The unique identifier for the agent.</param>
/// <param name="name">The name of the agent.</param>
/// <param name="name">The the name of the agent.</param>
/// <param name="description">The description of the agent.</param>
/// <param name="loggerFactory">Optional logger factory to use for logging.</param>
public A2AAgent(IA2AClient a2aClient, string? id = null, string? name = null, string? description = null, ILoggerFactory? loggerFactory = null)
: this(
a2aClient,
new A2AAgentOptions
{
Id = id,
Name = name,
Description = description
},
loggerFactory)
{
}
/// <summary>
/// Initializes a new instance of the <see cref="A2AAgent"/> class.
/// </summary>
/// <param name="a2aClient">The A2A client to use for interacting with A2A agents.</param>
/// <param name="options">
/// Configuration options that control the agent's identity, including its identifier, name, and description.
/// </param>
/// <param name="loggerFactory">Optional logger factory to use for logging.</param>
public A2AAgent(IA2AClient a2aClient, A2AAgentOptions options, ILoggerFactory? loggerFactory = null)
{
_ = Throw.IfNull(a2aClient);
_ = Throw.IfNull(options);
this._a2aClient = a2aClient;
this._agentOptions = options.Clone();
this._id = id;
this._name = name;
this._description = description;
this._logger = (loggerFactory ?? NullLoggerFactory.Instance).CreateLogger<A2AAgent>();
}
@@ -234,13 +216,13 @@ public sealed class A2AAgent : AIAgent
}
/// <inheritdoc/>
protected override string? IdCore => this._agentOptions.Id;
protected override string? IdCore => this._id;
/// <inheritdoc/>
public override string? Name => this._agentOptions.Name;
public override string? Name => this._name;
/// <inheritdoc/>
public override string? Description => this._agentOptions.Description;
public override string? Description => this._description;
/// <inheritdoc/>
public override object? GetService(Type serviceType, object? serviceKey = null)
@@ -1,40 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
namespace Microsoft.Agents.AI.A2A;
/// <summary>
/// Represents configuration options for an <see cref="A2AAgent"/>, including its identifier, name, and description.
/// </summary>
/// <remarks>
/// This class is used to encapsulate information about an A2A agent, such as its unique
/// identifier, display name, and a descriptive summary. It provides an alternative to passing
/// these values as individual constructor parameters.
/// </remarks>
public sealed class A2AAgentOptions
{
/// <summary>
/// Gets or sets the agent id.
/// </summary>
public string? Id { get; set; }
/// <summary>
/// Gets or sets the agent name.
/// </summary>
public string? Name { get; set; }
/// <summary>
/// Gets or sets the agent description.
/// </summary>
public string? Description { get; set; }
/// <summary>
/// Creates a new instance of <see cref="A2AAgentOptions"/> with the same values as this instance.
/// </summary>
public A2AAgentOptions Clone()
=> new()
{
Id = this.Id,
Name = this.Name,
Description = this.Description
};
}
@@ -2,9 +2,7 @@
using System.Net.Http;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.A2A;
using Microsoft.Extensions.Logging;
using Microsoft.Shared.Diagnostics;
namespace A2A;
@@ -38,39 +36,4 @@ public static class A2AAgentCardExtensions
return a2aClient.AsAIAgent(name: card.Name, description: card.Description, loggerFactory: loggerFactory);
}
/// <summary>
/// Retrieves an instance of <see cref="AIAgent"/> for an existing A2A agent.
/// </summary>
/// <remarks>
/// This method can be used to access A2A agents that support the
/// <see href="https://github.com/a2aproject/A2A/blob/main/docs/topics/agent-discovery.md#2-curated-registries-catalog-based-discovery">Curated Registries (Catalog-Based Discovery)</see>
/// discovery mechanism. When <paramref name="agentOptions"/> is provided, any non-null values override
/// the corresponding values from the <see cref="AgentCard"/>.
/// </remarks>
/// <param name="card">The <see cref="AgentCard" /> to use for the agent creation.</param>
/// <param name="agentOptions">
/// Configuration options that control the agent's identity. When provided, non-null values override the
/// corresponding values from the agent card.
/// </param>
/// <param name="httpClient">The <see cref="HttpClient"/> to use for HTTP requests.</param>
/// <param name="clientOptions">
/// Optional <see cref="A2AClientOptions"/> controlling protocol binding preference.
/// When not provided, defaults to preferring HTTP+JSON first, with JSON-RPC as fallback.
/// </param>
/// <param name="loggerFactory">The logger factory for enabling logging within the agent.</param>
/// <returns>An <see cref="AIAgent"/> instance backed by the A2A agent.</returns>
public static AIAgent AsAIAgent(this AgentCard card, A2AAgentOptions agentOptions, HttpClient? httpClient = null, A2AClientOptions? clientOptions = null, ILoggerFactory? loggerFactory = null)
{
_ = Throw.IfNull(card);
_ = Throw.IfNull(agentOptions);
var a2aClient = A2AClientFactory.Create(card, httpClient, clientOptions);
var mergedOptions = agentOptions.Clone();
mergedOptions.Name ??= card.Name;
mergedOptions.Description ??= card.Description;
return a2aClient.AsAIAgent(mergedOptions, loggerFactory);
}
}
@@ -6,7 +6,6 @@ using System.Threading.Tasks;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.A2A;
using Microsoft.Extensions.Logging;
using Microsoft.Shared.Diagnostics;
namespace A2A;
@@ -49,39 +48,4 @@ public static class A2ACardResolverExtensions
return agentCard.AsAIAgent(httpClient, options, loggerFactory);
}
/// <summary>
/// Retrieves an instance of <see cref="AIAgent"/> for an existing A2A agent.
/// </summary>
/// <remarks>
/// This method can be used to access A2A agents that support the
/// <see href="https://github.com/a2aproject/A2A/blob/main/docs/topics/agent-discovery.md#1-well-known-uri">Well-Known URI</see>
/// discovery mechanism. When <paramref name="agentOptions"/> is provided, any non-null values override
/// the corresponding values from the resolved <see cref="AgentCard"/>.
/// </remarks>
/// <param name="resolver">The <see cref="A2ACardResolver" /> to use for the agent creation.</param>
/// <param name="agentOptions">
/// Configuration options that control the agent's identity. When provided, non-null values override the
/// corresponding values from the resolved agent card.
/// </param>
/// <param name="httpClient">
/// The <see cref="HttpClient"/> to use for HTTP requests made by the created A2A client.
/// This is not used for fetching the agent card; the resolver uses its own configured client for that.
/// </param>
/// <param name="clientOptions">
/// Optional <see cref="A2AClientOptions"/> controlling protocol binding preference.
/// When not provided, defaults to preferring HTTP+JSON first, with JSON-RPC as fallback.
/// </param>
/// <param name="loggerFactory">The logger factory for enabling logging within the agent.</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>An <see cref="AIAgent"/> instance backed by the A2A agent.</returns>
public static async Task<AIAgent> GetAIAgentAsync(this A2ACardResolver resolver, A2AAgentOptions agentOptions, HttpClient? httpClient = null, A2AClientOptions? clientOptions = null, ILoggerFactory? loggerFactory = null, CancellationToken cancellationToken = default)
{
_ = Throw.IfNull(agentOptions);
// Obtain the agent card from the resolver.
var agentCard = await resolver.GetAgentCardAsync(cancellationToken).ConfigureAwait(false);
return agentCard.AsAIAgent(agentOptions, httpClient, clientOptions, loggerFactory);
}
}
@@ -3,7 +3,6 @@
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.A2A;
using Microsoft.Extensions.Logging;
using Microsoft.Shared.Diagnostics;
namespace A2A;
@@ -32,32 +31,10 @@ public static class A2AClientExtensions
/// </remarks>
/// <param name="client">The <see cref="IA2AClient" /> to use for the agent.</param>
/// <param name="id">The unique identifier for the agent.</param>
/// <param name="name">The name of the agent.</param>
/// <param name="name">The the name of the agent.</param>
/// <param name="description">The description of the agent.</param>
/// <param name="loggerFactory">Optional logger factory for enabling logging within the agent.</param>
/// <returns>An <see cref="AIAgent"/> instance backed by the A2A agent.</returns>
public static AIAgent AsAIAgent(this IA2AClient client, string? id = null, string? name = null, string? description = null, ILoggerFactory? loggerFactory = null) =>
new A2AAgent(client, id, name, description, loggerFactory);
/// <summary>
/// Retrieves an instance of <see cref="AIAgent"/> for an existing A2A agent.
/// </summary>
/// <remarks>
/// This method can be used to access A2A agents that support the
/// <see href="https://github.com/a2aproject/A2A/blob/main/docs/topics/agent-discovery.md#3-direct-configuration--private-discovery">Direct Configuration / Private Discovery</see>
/// discovery mechanism.
/// </remarks>
/// <param name="client">The <see cref="IA2AClient" /> to use for the agent.</param>
/// <param name="options">
/// Configuration options that control the agent's identity, including its identifier, name, and description.
/// </param>
/// <param name="loggerFactory">Optional logger factory for enabling logging within the agent.</param>
/// <returns>An <see cref="AIAgent"/> instance backed by the A2A agent.</returns>
public static AIAgent AsAIAgent(this IA2AClient client, A2AAgentOptions options, ILoggerFactory? loggerFactory = null)
{
_ = Throw.IfNull(client);
_ = Throw.IfNull(options);
return new A2AAgent(client, options, loggerFactory);
}
}
@@ -1,6 +1,5 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.ClientModel.Primitives;
using System.Collections.Generic;
using System.Reflection;
@@ -10,11 +9,8 @@ using Microsoft.Extensions.AI;
namespace Microsoft.Agents.AI.Foundry.Hosting;
/// <summary>
/// Pipeline policy that emits the hosted-agent <c>User-Agent</c> segment
/// (<c>"foundry-hosting/agent-framework-dotnet/{version}"</c>), matching Python's hosted
/// contract (<c>foundry-hosting/agent-framework-python/{version}</c>, see
/// <c>python/packages/core/agent_framework/_telemetry.py</c>: the hosted prefix is joined
/// with the base agent-framework segment into a single combined User-Agent value).
/// Pipeline policy that appends the hosted-agent <c>User-Agent</c> segment
/// (e.g. <c>"foundry-hosting/agent-framework-dotnet/{version}"</c>) to outgoing requests.
/// </summary>
/// <remarks>
/// <para>
@@ -23,12 +19,6 @@ namespace Microsoft.Agents.AI.Foundry.Hosting;
/// is already present in the <c>User-Agent</c> header, the policy does not append it again.
/// </para>
/// <para>
/// When a bare <c>agent-framework-dotnet/{version}</c> segment is already present (stamped by
/// the framework-wide <c>AgentFrameworkUserAgentPolicy</c> registered by
/// <c>FoundryChatClient</c>), this policy <em>replaces</em> that segment with the combined
/// hosted form so the wire never carries both forms simultaneously, preserving Python parity.
/// </para>
/// <para>
/// This policy is added at hosted-agent resolution time via the MEAI 10.5.1
/// <see cref="OpenAIRequestPolicies"/> hook on the agent's underlying chat client. It is only
/// registered when an agent is resolved by the Foundry hosting layer.
@@ -40,12 +30,6 @@ internal sealed class HostedAgentUserAgentPolicy : PipelinePolicy
private static readonly string s_supplementValue = CreateSupplementValue();
/// <summary>Bare segment stamped by <c>AgentFrameworkUserAgentPolicy</c> in the non-hosted scenario; this policy upgrades it in-place when both run.</summary>
private const string BareAgentFrameworkPrefix = "agent-framework-dotnet/";
/// <summary>Combined hosted segment that this policy emits. Recognized in-place so callers whose pipelines already carry a (possibly different-version) combined segment get it replaced rather than double-prefixed (Q-D fix).</summary>
private const string CombinedHostedPrefix = "foundry-hosting/agent-framework-dotnet/";
public override void Process(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
{
AppendHeader(message);
@@ -62,52 +46,13 @@ internal sealed class HostedAgentUserAgentPolicy : PipelinePolicy
{
if (message.Request.Headers.TryGetValue("User-Agent", out var existing) && !string.IsNullOrEmpty(existing))
{
// Guard against double-append on retries or when the policy is registered on
// multiple pipeline positions.
if (existing!.Contains(s_supplementValue))
// Guard against double-append on retries or when the policy
// is registered on multiple pipeline positions.
if (existing.Contains(s_supplementValue))
{
return;
}
// Combined-form check first: if the caller's pipeline already has
// `foundry-hosting/agent-framework-dotnet/{version}` (with a version that differs
// from ours — otherwise the .Contains above would have returned early), replace the
// entire combined span in place. Without this, the bare-prefix search below would
// match `agent-framework-dotnet/` *inside* the combined segment and produce a
// malformed `foundry-hosting/foundry-hosting/agent-framework-dotnet/...` value.
var combinedIdx = existing.IndexOf(CombinedHostedPrefix, StringComparison.Ordinal);
if (combinedIdx >= 0)
{
var combinedEnd = existing.IndexOf(' ', combinedIdx);
if (combinedEnd < 0)
{
combinedEnd = existing.Length;
}
var replacedCombined = string.Concat(existing.AsSpan(0, combinedIdx), s_supplementValue.AsSpan(), existing.AsSpan(combinedEnd));
message.Request.Headers.Set("User-Agent", replacedCombined);
return;
}
// If the bare agent-framework segment is present (stamped by
// AgentFrameworkUserAgentPolicy when not hosted), upgrade it in place to the
// combined hosted form so the wire never carries both segments simultaneously.
// Mirrors Python where get_user_agent() returns a single combined string when the
// hosted prefix is registered.
var idx = existing.IndexOf(BareAgentFrameworkPrefix, StringComparison.Ordinal);
if (idx >= 0)
{
var end = existing.IndexOf(' ', idx);
if (end < 0)
{
end = existing.Length;
}
var replaced = string.Concat(existing.AsSpan(0, idx), s_supplementValue.AsSpan(), existing.AsSpan(end));
message.Request.Headers.Set("User-Agent", replaced);
return;
}
message.Request.Headers.Set("User-Agent", $"{existing} {s_supplementValue}");
}
else
@@ -1,88 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.ClientModel.Primitives;
using System.Collections.Generic;
using System.Reflection;
using System.Threading.Tasks;
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// Framework-wide pipeline policy that appends the <c>agent-framework-dotnet/{version}</c>
/// segment to outgoing <c>User-Agent</c> headers, mirroring the
/// <c>agent-framework-python/{version}</c> contract used by every Python provider package.
/// </summary>
/// <remarks>
/// <para>
/// The segment value is computed once from the <c>Microsoft.Agents.AI.Foundry</c> assembly's
/// <see cref="AssemblyInformationalVersionAttribute"/>. The policy is idempotent on retries: if
/// the segment is already present in the <c>User-Agent</c> header, the policy does not append
/// it again.
/// </para>
/// <para>
/// The policy is registered by <c>FoundryChatClient</c> on the underlying chat client's
/// <c>OpenAIRequestPolicies</c> hook so every outbound Foundry call carries the segment. The
/// policy is currently colocated with the Foundry package; it is expected to migrate to a
/// framework-wide location (such as <c>Microsoft.Agents.AI</c>) once another provider package
/// adopts the same User-Agent contract.
/// </para>
/// </remarks>
internal sealed class AgentFrameworkUserAgentPolicy : PipelinePolicy
{
/// <summary>Gets the singleton policy instance.</summary>
public static AgentFrameworkUserAgentPolicy Instance { get; } = new AgentFrameworkUserAgentPolicy();
private static readonly string s_segmentValue = CreateSegmentValue();
public override void Process(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
{
AppendHeader(message);
ProcessNext(message, pipeline, currentIndex);
}
public override async ValueTask ProcessAsync(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
{
AppendHeader(message);
await ProcessNextAsync(message, pipeline, currentIndex).ConfigureAwait(false);
}
private static void AppendHeader(PipelineMessage message)
{
if (message.Request.Headers.TryGetValue("User-Agent", out var existing) && !string.IsNullOrEmpty(existing))
{
// Guard against double-append on retries or when the policy
// is registered on multiple pipeline positions.
if (existing!.Contains(s_segmentValue))
{
return;
}
message.Request.Headers.Set("User-Agent", $"{existing} {s_segmentValue}");
}
else
{
message.Request.Headers.Set("User-Agent", s_segmentValue);
}
}
private static string CreateSegmentValue()
{
const string Name = "agent-framework-dotnet";
if (typeof(AgentFrameworkUserAgentPolicy).Assembly.GetCustomAttribute<AssemblyInformationalVersionAttribute>()?.InformationalVersion is string version)
{
int pos = version.IndexOf('+');
if (pos >= 0)
{
version = version.Substring(0, pos);
}
if (version.Length > 0)
{
return $"{Name}/{version}";
}
}
return Name;
}
}
@@ -0,0 +1,165 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Runtime.CompilerServices;
using System.Threading;
using System.Threading.Tasks;
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
using OpenAI.Responses;
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// Provides a chat client implementation that integrates with Azure AI Agents, enabling chat interactions using
/// Azure-specific agent capabilities.
/// </summary>
[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
internal sealed class AzureAIProjectChatClient : DelegatingChatClient
{
private readonly ChatClientMetadata? _metadata;
private readonly AIProjectClient _agentClient;
private readonly ProjectsAgentVersion? _agentVersion;
private readonly ProjectsAgentRecord? _agentRecord;
private readonly ChatOptions? _chatOptions;
private readonly AgentReference _agentReference;
/// <summary>
/// Initializes a new instance of the <see cref="AzureAIProjectChatClient"/> class.
/// </summary>
/// <param name="aiProjectClient">An instance of <see cref="AIProjectClient"/> to interact with Azure AI Agents services.</param>
/// <param name="agentReference">An instance of <see cref="AgentReference"/> representing the specific agent to use.</param>
/// <param name="defaultModelId">The default model to use for the agent, if applicable.</param>
/// <param name="chatOptions">An instance of <see cref="ChatOptions"/> representing the options on how the agent was predefined.</param>
/// <remarks>
/// The <see cref="IChatClient"/> provided should be decorated with a <see cref="AzureAIProjectChatClient"/> for proper functionality.
/// </remarks>
internal AzureAIProjectChatClient(AIProjectClient aiProjectClient, AgentReference agentReference, string? defaultModelId, ChatOptions? chatOptions)
: base(Throw.IfNull(aiProjectClient)
.GetProjectOpenAIClient()
.GetProjectResponsesClientForAgent(agentReference)
.AsIChatClient())
{
this._agentClient = aiProjectClient;
this._agentReference = Throw.IfNull(agentReference);
this._metadata = new ChatClientMetadata("microsoft.foundry", defaultModelId: defaultModelId);
this._chatOptions = chatOptions;
}
/// <summary>
/// Initializes a new instance of the <see cref="AzureAIProjectChatClient"/> class.
/// </summary>
/// <param name="aiProjectClient">An instance of <see cref="AIProjectClient"/> to interact with Azure AI Agents services.</param>
/// <param name="agentRecord">An instance of <see cref="ProjectsAgentRecord"/> representing the specific agent to use.</param>
/// <param name="chatOptions">An instance of <see cref="ChatOptions"/> representing the options on how the agent was predefined.</param>
/// <remarks>
/// The <see cref="IChatClient"/> provided should be decorated with a <see cref="AzureAIProjectChatClient"/> for proper functionality.
/// </remarks>
internal AzureAIProjectChatClient(AIProjectClient aiProjectClient, ProjectsAgentRecord agentRecord, ChatOptions? chatOptions)
: this(aiProjectClient, Throw.IfNull(agentRecord).GetLatestVersion(), chatOptions)
{
this._agentRecord = agentRecord;
}
internal AzureAIProjectChatClient(AIProjectClient aiProjectClient, ProjectsAgentVersion agentVersion, ChatOptions? chatOptions)
: this(
aiProjectClient,
CreateAgentReference(Throw.IfNull(agentVersion)),
(agentVersion.Definition as DeclarativeAgentDefinition)?.Model,
chatOptions)
{
this._agentVersion = agentVersion;
}
/// <summary>
/// Creates an <see cref="AgentReference"/> from an <see cref="ProjectsAgentVersion"/>.
/// Uses the agent version's version if available, otherwise defaults to "latest".
/// </summary>
/// <param name="agentVersion">The agent version to create a reference from.</param>
/// <returns>An <see cref="AgentReference"/> for the specified agent version.</returns>
private static AgentReference CreateAgentReference(ProjectsAgentVersion agentVersion)
{
// If the version is null, empty, or whitespace, use "latest" as the default.
// This handles cases where hosted agents (like MCP agents) may not have a version assigned.
var version = string.IsNullOrWhiteSpace(agentVersion.Version) ? "latest" : agentVersion.Version;
return new AgentReference(agentVersion.Name, version);
}
/// <inheritdoc/>
public override object? GetService(Type serviceType, object? serviceKey = null)
{
return (serviceKey is null && serviceType == typeof(ChatClientMetadata))
? this._metadata
: (serviceKey is null && serviceType == typeof(AIProjectClient))
? this._agentClient
: (serviceKey is null && serviceType == typeof(ProjectsAgentVersion))
? this._agentVersion
: (serviceKey is null && serviceType == typeof(ProjectsAgentRecord))
? this._agentRecord
: (serviceKey is null && serviceType == typeof(AgentReference))
? this._agentReference
: base.GetService(serviceType, serviceKey);
}
/// <inheritdoc/>
public override async Task<ChatResponse> GetResponseAsync(IEnumerable<ChatMessage> messages, ChatOptions? options = null, CancellationToken cancellationToken = default)
{
var agentOptions = this.GetAgentEnabledChatOptions(options);
return await base.GetResponseAsync(messages, agentOptions, cancellationToken).ConfigureAwait(false);
}
/// <inheritdoc/>
public override async IAsyncEnumerable<ChatResponseUpdate> GetStreamingResponseAsync(IEnumerable<ChatMessage> messages, ChatOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
{
var agentOptions = this.GetAgentEnabledChatOptions(options);
await foreach (var chunk in base.GetStreamingResponseAsync(messages, agentOptions, cancellationToken).ConfigureAwait(false))
{
yield return chunk;
}
}
private ChatOptions GetAgentEnabledChatOptions(ChatOptions? options)
{
// Start with a clone of the base chat options defined for the agent, if any.
ChatOptions agentEnabledChatOptions = this._chatOptions?.Clone() ?? new();
// Ignore per-request all options that can't be overridden.
agentEnabledChatOptions.Instructions = null;
agentEnabledChatOptions.Tools = null;
agentEnabledChatOptions.Temperature = null;
agentEnabledChatOptions.TopP = null;
agentEnabledChatOptions.PresencePenalty = null;
agentEnabledChatOptions.ResponseFormat = null;
// Use the conversation from the request, or the one defined at the client level.
agentEnabledChatOptions.ConversationId = options?.ConversationId ?? this._chatOptions?.ConversationId;
// Preserve the original RawRepresentationFactory
var originalFactory = options?.RawRepresentationFactory;
agentEnabledChatOptions.RawRepresentationFactory = (client) =>
{
if (originalFactory?.Invoke(this) is not CreateResponseOptions responseCreationOptions)
{
responseCreationOptions = new CreateResponseOptions();
}
responseCreationOptions.Agent = this._agentReference;
#pragma warning disable SCME0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
responseCreationOptions.Patch.Remove("$.model"u8);
#pragma warning restore SCME0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
return responseCreationOptions;
};
return agentEnabledChatOptions;
}
}
@@ -23,7 +23,7 @@ namespace Azure.AI.Projects;
/// Provides extension methods for <see cref="AIProjectClient"/>.
/// </summary>
[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
public static partial class AIProjectClientExtensions
public static partial class AzureAIProjectChatClientExtensions
{
/// <summary>
/// Uses an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AIProjectClient"/> and <see cref="AgentReference"/>.
@@ -63,7 +63,7 @@ public static partial class AIProjectClientExtensions
clientFactory,
services);
return new FoundryAgent(innerAgent);
return new FoundryAgent(aiProjectClient, innerAgent);
}
/// <summary>
@@ -132,7 +132,7 @@ public static partial class AIProjectClientExtensions
!allowDeclarativeMode,
services);
return new FoundryAgent(innerAgent);
return new FoundryAgent(aiProjectClient, innerAgent);
}
/// <summary>
@@ -165,7 +165,7 @@ public static partial class AIProjectClientExtensions
!allowDeclarativeMode,
services);
return new FoundryAgent(innerAgent);
return new FoundryAgent(aiProjectClient, innerAgent);
}
/// <summary>
@@ -246,7 +246,7 @@ public static partial class AIProjectClientExtensions
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
{
IChatClient chatClient = new FoundryChatClient(aiProjectClient, agentVersion, agentOptions.ChatOptions);
IChatClient chatClient = new AzureAIProjectChatClient(aiProjectClient, agentVersion, agentOptions.ChatOptions);
if (clientFactory is not null)
{
@@ -268,7 +268,10 @@ public static partial class AIProjectClientExtensions
Throw.IfNull(agentOptions.ChatOptions);
Throw.IfNullOrWhitespace(agentOptions.ChatOptions.ModelId);
IChatClient chatClient = new FoundryChatClient(aiProjectClient, agentOptions.ChatOptions.ModelId);
IChatClient chatClient = aiProjectClient
.GetProjectOpenAIClient()
.GetResponsesClient()
.AsIChatClient(agentOptions.ChatOptions.ModelId);
if (clientFactory is not null)
{
@@ -295,7 +298,7 @@ public static partial class AIProjectClientExtensions
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
{
IChatClient chatClient = new FoundryChatClient(aiProjectClient, agentRecord, agentOptions.ChatOptions);
IChatClient chatClient = new AzureAIProjectChatClient(aiProjectClient, agentRecord, agentOptions.ChatOptions);
if (clientFactory is not null)
{
@@ -313,7 +316,7 @@ public static partial class AIProjectClientExtensions
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
{
IChatClient chatClient = new FoundryChatClient(aiProjectClient, agentReference, defaultModelId: null, agentOptions.ChatOptions);
IChatClient chatClient = new AzureAIProjectChatClient(aiProjectClient, agentReference, defaultModelId: null, agentOptions.ChatOptions);
if (clientFactory is not null)
{
@@ -0,0 +1,35 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using Azure.AI.Projects;
using Microsoft.Extensions.AI;
using Microsoft.Shared.Diagnostics;
namespace Microsoft.Agents.AI.Foundry;
#pragma warning disable OPENAI001
internal sealed class AzureAIProjectResponsesChatClient : DelegatingChatClient
{
private readonly ChatClientMetadata _metadata;
private readonly AIProjectClient _aiProjectClient;
internal AzureAIProjectResponsesChatClient(AIProjectClient aiProjectClient, string defaultModelId)
: base(Throw.IfNull(aiProjectClient)
.GetProjectOpenAIClient()
.GetProjectResponsesClientForModel(Throw.IfNullOrWhitespace(defaultModelId))
.AsIChatClient())
{
this._aiProjectClient = aiProjectClient;
this._metadata = new ChatClientMetadata("microsoft.foundry", defaultModelId: defaultModelId);
}
public override object? GetService(Type serviceType, object? serviceKey = null)
{
return (serviceKey is null && serviceType == typeof(ChatClientMetadata))
? this._metadata
: (serviceKey is null && serviceType == typeof(AIProjectClient))
? this._aiProjectClient
: base.GetService(serviceType, serviceKey);
}
}
#pragma warning restore OPENAI001
@@ -1,42 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Diagnostics.CodeAnalysis;
using System.Threading;
using System.Threading.Tasks;
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects.Agents;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// Foundry-specific extensions on <see cref="ChatClientAgent"/>. Mirrors Python's free
/// <c>to_prompt_agent(agent)</c> function for agents whose underlying chat client is a
/// <see cref="FoundryChatClient"/>.
/// </summary>
[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
public static class ChatClientAgentFoundryExtensions
{
/// <summary>
/// Converts the supplied agent into a <see cref="ProjectsAgentDefinition"/> ready to publish
/// via <c>AgentAdministrationClient.CreateAgentVersionAsync</c>.
/// </summary>
/// <remarks>
/// Only works on agents whose chat client is a <see cref="FoundryChatClient"/> and whose
/// construction mode is convertible. The Agent Endpoint construction mode (Mode 3) is not
/// convertible because no local definition exists; conversion in that case throws.
/// </remarks>
/// <param name="agent">The chat client agent to convert.</param>
/// <param name="cancellationToken">A token that can cancel an internal server-side fetch when the agent was constructed from a bare <see cref="AgentReference"/>.</param>
/// <returns>A <see cref="ProjectsAgentDefinition"/> suitable for publishing.</returns>
/// <exception cref="ArgumentNullException"><paramref name="agent"/> is <see langword="null"/>.</exception>
/// <exception cref="InvalidOperationException">The agent's chat client is not a <see cref="FoundryChatClient"/>; the agent was constructed via the Agent Endpoint mode (Mode 3); no model id is set on the agent's <see cref="ChatOptions"/> for the Responses Agent mode (Mode 1); or the agent contains an <see cref="AITool"/> that cannot be converted to a <c>ResponseTool</c>.</exception>
public static Task<ProjectsAgentDefinition> ToPromptAgentAsync(this ChatClientAgent agent, CancellationToken cancellationToken = default)
{
Throw.IfNull(agent);
return FoundryPromptAgentConverter.ConvertAsync(agent.ChatClient, agent.GetService<ChatOptions>(), cancellationToken);
}
}
@@ -39,6 +39,11 @@ namespace Microsoft.Agents.AI.Foundry;
[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
public sealed class FoundryAgent : DelegatingAIAgent
{
/// <summary>
/// The cached <see cref="AIProjectClient"/> supplied to or constructed by the active constructor.
/// </summary>
private readonly AIProjectClient _aiProjectClient;
/// <summary>
/// Initializes a new instance of the <see cref="FoundryAgent"/> class using the direct Responses API path.
/// </summary>
@@ -68,8 +73,9 @@ public sealed class FoundryAgent : DelegatingAIAgent
: base(CreateInnerAgent(
CreateProjectClient(projectEndpoint, credential, clientOptions),
model, instructions, name, description, tools, clientFactory, loggerFactory, services,
out _))
out var aiProjectClient))
{
this._aiProjectClient = aiProjectClient;
}
/// <summary>
@@ -81,11 +87,9 @@ public sealed class FoundryAgent : DelegatingAIAgent
/// </param>
/// <param name="credential">The authentication credential.</param>
/// <param name="clientOptions">
/// Optional configuration for the underlying <see cref="ProjectOpenAIClient"/>. When supplied:
/// Optional configuration for the underlying <see cref="ProjectResponsesClient"/>. When supplied:
/// <list type="bullet">
/// <item><description>The instance is passed through to the per-agent client; pipeline policies added via <c>AddPolicy(...)</c> on it execute on the per-agent traffic.</description></item>
/// <item><description><c>Endpoint</c> and <see cref="ProjectOpenAIClientOptions.AgentName"/> are owned by this constructor and are overwritten with values derived from <paramref name="agentEndpoint"/>; any caller value is replaced.</description></item>
/// <item><description>For the project-level conversations client a separate fresh options bag is built that copies only <see cref="ClientPipelineOptions.RetryPolicy"/>, <see cref="ClientPipelineOptions.NetworkTimeout"/>, <see cref="ClientPipelineOptions.Transport"/>, and <c>UserAgentApplicationId</c>; pipeline policies added via <c>AddPolicy(...)</c> do <strong>not</strong> propagate to the conversations pipeline.</description></item>
/// </list>
/// </param>
/// <param name="tools">Optional tools to use when interacting with the agent.</param>
@@ -109,37 +113,43 @@ public sealed class FoundryAgent : DelegatingAIAgent
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null)
: base(CreateInnerAgentFromAgentEndpoint(agentEndpoint, credential, clientOptions, tools, clientFactory, services))
: base(CreateInnerAgentFromAgentEndpoint(agentEndpoint, credential, clientOptions, tools, clientFactory, services, out var aiProjectClient))
{
this._aiProjectClient = aiProjectClient;
}
/// <summary>
/// Internal constructor used by the <c>AsAIAgent(this AIProjectClient, Uri, ...)</c>
/// extension where the caller already has an <see cref="AIProjectClient"/> and the agent
/// endpoint URI. Reuses the supplied client's pipeline (no new credential or transport is
/// stamped) and surfaces the agent through a <see cref="FoundryChatClient"/> just like the
/// public agent-endpoint ctor.
/// Initializes a new instance of the <see cref="FoundryAgent"/> class from an agent-specific
/// endpoint while reusing an existing <see cref="AIProjectClient"/>.
/// </summary>
/// <param name="aiProjectClient">An existing <see cref="AIProjectClient"/> rooted at the same project as <paramref name="agentEndpoint"/>.</param>
/// <param name="agentEndpoint">
/// The agent-specific endpoint URI. Must be of the shape
/// <c>https://&lt;host&gt;/.../projects/&lt;project&gt;/agents/&lt;agentName&gt;/endpoint/protocols/openai</c>.
/// </param>
/// <param name="tools">Optional tools to use when interacting with the agent.</param>
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/>.</param>
/// <param name="services">Optional service provider for resolving dependencies required by AI functions.</param>
/// <exception cref="ArgumentNullException"><paramref name="aiProjectClient"/> or <paramref name="agentEndpoint"/> is null.</exception>
/// <exception cref="ArgumentException"><paramref name="agentEndpoint"/> does not match the expected agent-endpoint shape.</exception>
internal FoundryAgent(
AIProjectClient aiProjectClient,
Uri agentEndpoint,
IList<AITool>? tools = null,
Func<IChatClient, IChatClient>? clientFactory = null,
IServiceProvider? services = null)
: base(CreateInnerAgentFromAgentEndpointReusingProjectClient(aiProjectClient, agentEndpoint, tools, clientFactory, services))
: base(BuildAgentEndpointInnerAgent(aiProjectClient, agentEndpoint, clientOptions: null, tools, clientFactory, services))
{
this._aiProjectClient = Throw.IfNull(aiProjectClient);
}
/// <summary>
/// Internal constructor used by <c>AsAIAgent</c> extension methods that already have a
/// configured <see cref="ChatClientAgent"/>. The inner agent already routes through a
/// <see cref="FoundryChatClient"/> whose <c>GetService&lt;AIProjectClient&gt;()</c> surfaces
/// the project client to downstream callers, so the agent does not also need a private
/// <see cref="AIProjectClient"/> reference here.
/// Internal constructor used by <c>AsAIAgent</c> extension methods that already have an <see cref="AIProjectClient"/> and a configured <see cref="ChatClientAgent"/>.
/// </summary>
internal FoundryAgent(ChatClientAgent innerAgent)
internal FoundryAgent(AIProjectClient aiProjectClient, ChatClientAgent innerAgent)
: base(WireClientHeaders(Throw.IfNull(innerAgent)))
{
this._aiProjectClient = Throw.IfNull(aiProjectClient);
}
#region Convenience methods
@@ -172,13 +182,7 @@ public sealed class FoundryAgent : DelegatingAIAgent
/// <returns>A <see cref="ChatClientAgentSession"/> linked to the newly created server-side conversation.</returns>
public async Task<ChatClientAgentSession> CreateConversationSessionAsync(CancellationToken cancellationToken = default)
{
// The inner FoundryChatClient surfaces an AIProjectClient via GetService for all
// three construction modes (Plan #2 Agent Endpoint mode materialization). Resolve it through the
// delegating chain at call time instead of caching a private reference on this agent.
var aiProjectClient = this.GetService<AIProjectClient>()
?? throw new InvalidOperationException(
"FoundryAgent inner chain does not expose an AIProjectClient; cannot create a project-level conversation session.");
var conversationsClient = aiProjectClient.GetProjectOpenAIClient().GetProjectConversationsClient();
var conversationsClient = this._aiProjectClient.ProjectOpenAIClient.GetProjectConversationsClient();
var conversation = (await conversationsClient.CreateProjectConversationAsync(options: null, cancellationToken).ConfigureAwait(false)).Value;
@@ -192,6 +196,17 @@ public sealed class FoundryAgent : DelegatingAIAgent
#endregion
/// <inheritdoc/>
public override object? GetService(Type serviceType, object? serviceKey = null)
{
if (serviceKey is null && serviceType == typeof(AIProjectClient))
{
return this._aiProjectClient;
}
return base.GetService(serviceType, serviceKey);
}
#region Private helpers
private static AIAgent CreateInnerAgent(
@@ -236,7 +251,7 @@ public sealed class FoundryAgent : DelegatingAIAgent
Throw.IfNull(agentOptions.ChatOptions);
Throw.IfNullOrWhitespace(agentOptions.ChatOptions.ModelId);
IChatClient chatClient = new FoundryChatClient(aiProjectClient, agentOptions.ChatOptions.ModelId);
IChatClient chatClient = new AzureAIProjectResponsesChatClient(aiProjectClient, agentOptions.ChatOptions.ModelId);
if (clientFactory is not null)
{
@@ -273,10 +288,16 @@ public sealed class FoundryAgent : DelegatingAIAgent
}
/// <summary>
/// Builds the inner <see cref="ChatClientAgent"/> for the agent-endpoint constructor. The
/// per-agent <see cref="ProjectOpenAIClient"/> shape and URL parsing are owned by
/// <see cref="FoundryChatClient"/>; we just construct it in the Agent Endpoint mode (Mode 3)
/// and pass the inner chat client through any caller-provided <paramref name="clientFactory"/>.
/// Builds the inner <see cref="ChatClientAgent"/> for the agent-endpoint constructor by
/// constructing a project-scoped <see cref="ProjectOpenAIClient"/> and using
/// <see cref="ProjectOpenAIClient.GetProjectResponsesClientForAgentEndpoint(string, string?, ProjectOpenAIClientOptions?)"/>.
/// This routes the outbound URL through the per-agent endpoint shape that the Foundry service
/// expects for hosted agents and lets the SDK auto-append the <c>api-version</c> query string.
/// Caller-supplied <paramref name="clientOptions"/> are passed through to the per-agent
/// client with <c>Endpoint</c> and
/// <see cref="ProjectOpenAIClientOptions.AgentName"/> overridden by values derived from
/// <paramref name="agentEndpoint"/>; any policies the caller added via <c>AddPolicy</c>
/// remain in effect on the per-agent pipeline. The MEAI user-agent policy is appended last.
/// </summary>
private static AIAgent CreateInnerAgentFromAgentEndpoint(
Uri agentEndpoint,
@@ -284,37 +305,29 @@ public sealed class FoundryAgent : DelegatingAIAgent
ProjectOpenAIClientOptions? clientOptions,
IList<AITool>? tools,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
IServiceProvider? services,
out AIProjectClient outClient)
{
Throw.IfNull(agentEndpoint);
Throw.IfNull(credential);
IChatClient chatClient = new FoundryChatClient(agentEndpoint, credential, clientOptions);
var agentName = ((FoundryChatClient)chatClient).AgentName!;
var (_, projectRoot) = ParseAgentEndpoint(agentEndpoint);
outClient = CreateProjectClient(projectRoot, credential, CreateProjectClientOptions(clientOptions));
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
}
ChatClientAgentOptions agentOptions = new()
{
Id = agentName,
Name = agentName,
ChatOptions = new() { Tools = tools },
};
return WireClientHeaders(new ChatClientAgent(chatClient, agentOptions, services: services));
return BuildAgentEndpointInnerAgent(outClient, agentEndpoint, clientOptions, tools, clientFactory, services);
}
/// <summary>
/// Variant of <see cref="CreateInnerAgentFromAgentEndpoint"/> that reuses an existing
/// <see cref="AIProjectClient"/>'s pipeline instead of stamping a fresh credential. Used by
/// the <c>AsAIAgent(AIProjectClient, Uri agentEndpoint, ...)</c> extension overload.
/// Builds the inner <see cref="ChatClientAgent"/> for an agent endpoint against a pre-built
/// <see cref="AIProjectClient"/>. The caller is responsible for ensuring the supplied client
/// is rooted at the same project as <paramref name="agentEndpoint"/>; the agent name is
/// parsed from the endpoint URI and passed to
/// <see cref="ProjectOpenAIClient.GetProjectResponsesClientForAgentEndpoint(string, string?, ProjectOpenAIClientOptions?)"/>.
/// </summary>
private static AIAgent CreateInnerAgentFromAgentEndpointReusingProjectClient(
private static AIAgent BuildAgentEndpointInnerAgent(
AIProjectClient aiProjectClient,
Uri agentEndpoint,
ProjectOpenAIClientOptions? clientOptions,
IList<AITool>? tools,
Func<IChatClient, IChatClient>? clientFactory,
IServiceProvider? services)
@@ -322,9 +335,14 @@ public sealed class FoundryAgent : DelegatingAIAgent
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentEndpoint);
IChatClient chatClient = new FoundryChatClient(aiProjectClient, agentEndpoint, clientOptions: null);
var agentName = ((FoundryChatClient)chatClient).AgentName!;
var (agentName, _) = ParseAgentEndpoint(agentEndpoint);
var perAgentOptions = clientOptions ?? new ProjectOpenAIClientOptions();
perAgentOptions.AddPolicy(RequestOptionsExtensions.UserAgentPolicy, PipelinePosition.PerCall);
IChatClient chatClient = aiProjectClient.ProjectOpenAIClient
.GetProjectResponsesClientForAgentEndpoint(agentName, options: perAgentOptions)
.AsIChatClient();
if (clientFactory is not null)
{
chatClient = clientFactory(chatClient);
@@ -340,13 +358,6 @@ public sealed class FoundryAgent : DelegatingAIAgent
return WireClientHeaders(new ChatClientAgent(chatClient, agentOptions, services: services));
}
/// <summary>
/// Parses an agent endpoint URI. Delegates to <see cref="FoundryChatClient.ParseAgentEndpoint(Uri)"/>
/// so the chat client and the agent share a single source of truth for the URL shape.
/// </summary>
internal static (string AgentName, Uri ProjectRoot) ParseAgentEndpoint(Uri agentEndpoint)
=> FoundryChatClient.ParseAgentEndpoint(agentEndpoint);
/// <summary>
/// Parses an agent endpoint URI of shape
/// <c>https://&lt;host&gt;/.../projects/&lt;project&gt;/agents/&lt;agentName&gt;/endpoint/protocols/openai</c>
@@ -358,12 +369,90 @@ public sealed class FoundryAgent : DelegatingAIAgent
/// strips query string and fragment. Throws <see cref="ArgumentException"/> for inputs that
/// do not match the expected shape.
/// </remarks>
/// <exception cref="ArgumentException">
/// The endpoint is missing the <c>/agents/</c> segment, has an empty agent name, or has a
/// suffix other than <c>/endpoint/protocols/openai</c>.
/// </exception>
internal static (string AgentName, Uri ProjectRoot) ParseAgentEndpoint(Uri agentEndpoint)
{
Throw.IfNull(agentEndpoint);
const string AgentsSegment = "/agents/";
const string ExpectedSuffix = "/endpoint/protocols/openai";
var path = agentEndpoint.AbsolutePath.TrimEnd('/');
var idx = path.IndexOf(AgentsSegment, StringComparison.OrdinalIgnoreCase);
if (idx < 0)
{
throw new ArgumentException(
$"Expected an agent endpoint of shape 'https://<host>/.../projects/<project>/agents/<agentName>/endpoint/protocols/openai' but got '{agentEndpoint}'.",
nameof(agentEndpoint));
}
var afterAgents = path.Substring(idx + AgentsSegment.Length);
var nextSlash = afterAgents.IndexOf('/');
if (nextSlash <= 0)
{
throw new ArgumentException(
$"Agent endpoint '{agentEndpoint}' is missing the '<agentName>{ExpectedSuffix}' suffix.",
nameof(agentEndpoint));
}
var agentName = afterAgents.Substring(0, nextSlash);
var suffix = afterAgents.Substring(nextSlash);
if (!string.Equals(suffix, ExpectedSuffix, StringComparison.OrdinalIgnoreCase))
{
throw new ArgumentException(
$"Agent endpoint '{agentEndpoint}' has an unexpected suffix '{suffix}'. Expected '{ExpectedSuffix}'.",
nameof(agentEndpoint));
}
var rootPath = path.Substring(0, idx);
var projectRoot = new UriBuilder(agentEndpoint)
{
Path = rootPath,
Query = string.Empty,
Fragment = string.Empty,
}.Uri;
return (agentName, projectRoot);
}
private static AIProjectClient CreateProjectClient(Uri endpoint, AuthenticationTokenProvider credential, AIProjectClientOptions? clientOptions = null)
{
Throw.IfNull(endpoint);
Throw.IfNull(credential);
return new AIProjectClient(endpoint, credential, clientOptions ?? new AIProjectClientOptions());
clientOptions ??= new AIProjectClientOptions();
clientOptions.AddPolicy(RequestOptionsExtensions.UserAgentPolicy, PipelinePosition.PerCall);
return new AIProjectClient(endpoint, credential, clientOptions);
}
internal static AIProjectClientOptions? CreateProjectClientOptions(ProjectOpenAIClientOptions? clientOptions)
{
if (clientOptions is null)
{
return null;
}
// Copy pipeline behavior the caller configured on the per-agent options bag onto the
// project-level options bag so the agent endpoint client honors it. UserAgentApplicationId
// is project-level (not derived from the agent endpoint), so it must be carried through too.
var projectOptions = new AIProjectClientOptions
{
Transport = clientOptions.Transport,
RetryPolicy = clientOptions.RetryPolicy,
NetworkTimeout = clientOptions.NetworkTimeout,
MessageLoggingPolicy = clientOptions.MessageLoggingPolicy,
UserAgentApplicationId = clientOptions.UserAgentApplicationId,
};
if (clientOptions.ClientLoggingOptions is not null)
{
projectOptions.ClientLoggingOptions = clientOptions.ClientLoggingOptions;
}
return projectOptions;
}
#endregion
@@ -1,116 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Threading;
using System.Threading.Tasks;
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects.Agents;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
using OpenAI.Files;
using OpenAI.VectorStores;
#pragma warning disable OPENAI001
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// Foundry-specific extensions on <see cref="FoundryAgent"/>. Hosts the prompt-agent converter
/// plus thin forwarders that surface the file and vector-store helpers from the inner
/// <see cref="FoundryChatClient"/> at the agent level so callers do not need to drop down to
/// <c>agent.GetService&lt;FoundryChatClient&gt;().X()</c> for common workflows.
/// </summary>
[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
public static class FoundryAgentExtensions
{
/// <summary>
/// Converts the supplied <see cref="FoundryAgent"/> into a <see cref="ProjectsAgentDefinition"/>
/// ready to publish via <c>AgentAdministrationClient.CreateAgentVersionAsync</c>.
/// </summary>
/// <remarks>
/// The Agent Endpoint construction mode (Mode 3) is not convertible because no local
/// definition exists; conversion in that case throws <see cref="InvalidOperationException"/>.
/// </remarks>
/// <param name="agent">The Foundry agent to convert.</param>
/// <param name="cancellationToken">A token that can cancel an internal server-side fetch when the agent was constructed from a bare <see cref="AgentReference"/>.</param>
/// <returns>A <see cref="ProjectsAgentDefinition"/> suitable for publishing.</returns>
/// <exception cref="ArgumentNullException"><paramref name="agent"/> is <see langword="null"/>.</exception>
/// <exception cref="InvalidOperationException">The agent's chat client is not a <see cref="FoundryChatClient"/>; the agent was constructed via the Agent Endpoint mode (Mode 3); no model id is set on the agent's <see cref="ChatOptions"/> for the Responses Agent mode (Mode 1); or the agent contains an <see cref="AITool"/> that cannot be converted to a <c>ResponseTool</c>.</exception>
public static Task<ProjectsAgentDefinition> ToPromptAgentAsync(this FoundryAgent agent, CancellationToken cancellationToken = default)
{
Throw.IfNull(agent);
var innerChatClient = agent.GetService<IChatClient>()
?? throw new InvalidOperationException(
"ToPromptAgentAsync could not resolve the inner IChatClient on the FoundryAgent.");
var chatOptions = agent.GetService<ChatOptions>();
return FoundryPromptAgentConverter.ConvertAsync(innerChatClient, chatOptions, cancellationToken);
}
/// <summary>
/// Uploads a file to the project. Thin forwarder to
/// <see cref="FoundryChatClient.UploadFileAsync(string, FileUploadPurpose, CancellationToken)"/>
/// on the agent's inner <see cref="FoundryChatClient"/>.
/// </summary>
/// <param name="agent">The Foundry agent whose inner chat client owns the upload pipeline.</param>
/// <param name="filePath">Path to the file to upload.</param>
/// <param name="purpose">The upload purpose (e.g. <see cref="FileUploadPurpose.Assistants"/>).</param>
/// <param name="cancellationToken">A token that can cancel the upload.</param>
/// <exception cref="ArgumentNullException"><paramref name="agent"/> is <see langword="null"/>.</exception>
/// <exception cref="InvalidOperationException">The agent does not expose a <see cref="FoundryChatClient"/> via <see cref="AIAgent.GetService{TService}(object?)"/>.</exception>
public static Task<OpenAIFile> UploadFileAsync(this FoundryAgent agent, string filePath, FileUploadPurpose purpose, CancellationToken cancellationToken = default)
=> RequireFoundryChatClient(agent).UploadFileAsync(filePath, purpose, cancellationToken);
/// <summary>
/// Deletes a previously uploaded file. Thin forwarder to
/// <see cref="FoundryChatClient.DeleteFileAsync(string, CancellationToken)"/>.
/// </summary>
/// <param name="agent">The Foundry agent whose inner chat client owns the file pipeline.</param>
/// <param name="fileId">The file id returned by <see cref="UploadFileAsync(FoundryAgent, string, FileUploadPurpose, CancellationToken)"/>.</param>
/// <param name="cancellationToken">A token that can cancel the delete.</param>
/// <exception cref="ArgumentNullException"><paramref name="agent"/> is <see langword="null"/>.</exception>
/// <exception cref="InvalidOperationException">The agent does not expose a <see cref="FoundryChatClient"/>.</exception>
public static Task<FileDeletionResult> DeleteFileAsync(this FoundryAgent agent, string fileId, CancellationToken cancellationToken = default)
=> RequireFoundryChatClient(agent).DeleteFileAsync(fileId, cancellationToken);
/// <summary>
/// Uploads the supplied files, creates a vector store containing them, and waits until the
/// store leaves the in-progress state. Thin forwarder to
/// <see cref="FoundryChatClient.CreateVectorStoreAsync(string, IEnumerable{string}, TimeSpan?, TimeSpan?, CancellationToken)"/>.
/// </summary>
/// <param name="agent">The Foundry agent whose inner chat client owns the file and vector-store pipeline.</param>
/// <param name="name">The vector store name.</param>
/// <param name="filePaths">Paths to files to upload and attach to the store.</param>
/// <param name="expiresAfter">Optional last-active-at expiration window.</param>
/// <param name="pollingTimeout">Optional upper bound on the wait for the vector store to leave the in-progress state. Defaults to 5 minutes; pass <see cref="Timeout.InfiniteTimeSpan"/> to disable.</param>
/// <param name="cancellationToken">A token that can cancel the orchestration.</param>
/// <exception cref="ArgumentNullException"><paramref name="agent"/> is <see langword="null"/>.</exception>
/// <exception cref="InvalidOperationException">The agent does not expose a <see cref="FoundryChatClient"/>.</exception>
/// <exception cref="TimeoutException">The vector store did not leave the in-progress state within <paramref name="pollingTimeout"/>.</exception>
public static Task<VectorStore> CreateVectorStoreAsync(this FoundryAgent agent, string name, IEnumerable<string> filePaths, TimeSpan? expiresAfter = null, TimeSpan? pollingTimeout = null, CancellationToken cancellationToken = default)
=> RequireFoundryChatClient(agent).CreateVectorStoreAsync(name, filePaths, expiresAfter, pollingTimeout, cancellationToken);
/// <summary>
/// Deletes a vector store. Thin forwarder to
/// <see cref="FoundryChatClient.DeleteVectorStoreAsync(string, CancellationToken)"/>.
/// </summary>
/// <param name="agent">The Foundry agent whose inner chat client owns the vector-store pipeline.</param>
/// <param name="vectorStoreId">The vector store id.</param>
/// <param name="cancellationToken">A token that can cancel the delete.</param>
/// <exception cref="ArgumentNullException"><paramref name="agent"/> is <see langword="null"/>.</exception>
/// <exception cref="InvalidOperationException">The agent does not expose a <see cref="FoundryChatClient"/>.</exception>
public static Task<VectorStoreDeletionResult> DeleteVectorStoreAsync(this FoundryAgent agent, string vectorStoreId, CancellationToken cancellationToken = default)
=> RequireFoundryChatClient(agent).DeleteVectorStoreAsync(vectorStoreId, cancellationToken);
private static FoundryChatClient RequireFoundryChatClient(FoundryAgent agent)
{
Throw.IfNull(agent);
return agent.GetService<FoundryChatClient>()
?? throw new InvalidOperationException(
"FoundryAgent does not expose a FoundryChatClient via GetService<FoundryChatClient>(). " +
"File and vector-store helpers require the agent's inner chat client to be a FoundryChatClient.");
}
}
@@ -1,703 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.ClientModel;
using System.ClientModel.Primitives;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.IO;
using System.Runtime.CompilerServices;
using System.Threading;
using System.Threading.Tasks;
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
using OpenAI.Files;
using OpenAI.Responses;
using OpenAI.VectorStores;
#pragma warning disable OPENAI001
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// Foundry chat-client decorator that unifies the three Foundry chat-client construction
/// modes (Responses Agent, Prompt Agent, Agent Endpoint) behind a single type and centralizes
/// Foundry-specific concerns: <c>microsoft.foundry</c> telemetry tagging,
/// <c>agent-framework-dotnet/{version}</c> User-Agent stamping, <c>x-ms-served-model</c>
/// response-header capture, and (for Prompt Agents) per-request payload mutation that injects
/// the agent reference and strips per-request overrides that the server owns.
/// </summary>
/// <remarks>
/// <para>
/// Replaces the previous <c>AzureAIProjectChatClient</c> and <c>AzureAIProjectResponsesChatClient</c>
/// decorators. All Foundry entry points (the public <c>FoundryAgent</c> constructors and the
/// <c>AIProjectClientExtensions.AsAIAgent</c> overloads) now construct a
/// <see cref="FoundryChatClient"/> internally, so telemetry and the agent-framework User-Agent
/// segment are uniform across paths.
/// </para>
/// <para>
/// The three construction modes are:
/// </para>
/// <list type="bullet">
/// <item><description><b>Responses Agent</b> (Mode 1): direct Responses API call against a project-level model id; no server-side agent definition exists. Constructed from <c>(AIProjectClient, modelId)</c>.</description></item>
/// <item><description><b>Prompt Agent</b> (Mode 2): server-side agent definition (a <see cref="ProjectsAgentDefinition"/>, typically a <see cref="DeclarativeAgentDefinition"/>) invoked by <see cref="AgentReference"/> against the project Responses URL. Constructed from <see cref="AgentReference"/>, <see cref="ProjectsAgentVersion"/>, or <see cref="ProjectsAgentRecord"/>.</description></item>
/// <item><description><b>Agent Endpoint</b> (Mode 3): invocation via the per-agent endpoint URL <c>…/projects/{p}/agents/{name}/endpoint/protocols/openai</c>. The agent behind the endpoint can be either a hosted (container-backed) agent or a Prompt Agent. Constructed from <c>(Uri agentEndpoint, credential)</c>.</description></item>
/// </list>
/// <para>
/// Note: "Hosted Agent" refers to a container-based runtime agent (see
/// <c>Microsoft.Agents.AI.Foundry.Hosting</c>) and is the <i>kind</i> of agent that may sit
/// behind an Agent Endpoint. It is not synonymous with the Agent Endpoint mode itself.
/// </para>
/// </remarks>
[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
public sealed class FoundryChatClient : DelegatingChatClient
{
private readonly ChatClientMetadata _metadata;
private readonly AIProjectClient? _aiProjectClient;
private readonly AgentReference? _agentReference;
private readonly ProjectsAgentVersion? _agentVersion;
private readonly ProjectsAgentRecord? _agentRecord;
private readonly ChatOptions? _baseChatOptions;
/// <summary>
/// Initializes a new instance for the Responses Agent mode (Mode 1): direct Responses API
/// call against a project-level model id; no server-side agent definition exists.
/// </summary>
/// <param name="aiProjectClient">The project client.</param>
/// <param name="modelId">The model deployment id.</param>
internal FoundryChatClient(AIProjectClient aiProjectClient, string modelId)
: base(Throw.IfNull(aiProjectClient)
.GetProjectOpenAIClient()
.GetProjectResponsesClientForModel(Throw.IfNullOrWhitespace(modelId))
.AsIChatClient())
{
this._aiProjectClient = aiProjectClient;
this._metadata = new ChatClientMetadata("microsoft.foundry", defaultModelId: modelId);
TryRegisterAgentFrameworkUserAgentPolicy(this.InnerClient);
TryRegisterServedModelPolicy(this.InnerClient);
}
/// <summary>
/// Initializes a new instance for the Prompt Agent mode (Mode 2): server-side agent
/// definition invoked by <see cref="AgentReference"/>.
/// </summary>
internal FoundryChatClient(AIProjectClient aiProjectClient, AgentReference agentReference, string? defaultModelId, ChatOptions? baseChatOptions)
: base(Throw.IfNull(aiProjectClient)
.GetProjectOpenAIClient()
.GetProjectResponsesClientForAgent(Throw.IfNull(agentReference))
.AsIChatClient())
{
this._aiProjectClient = aiProjectClient;
this._agentReference = agentReference;
this._metadata = new ChatClientMetadata("microsoft.foundry", defaultModelId: defaultModelId);
this._baseChatOptions = baseChatOptions;
this.AgentName = agentReference.Name;
TryRegisterAgentFrameworkUserAgentPolicy(this.InnerClient);
TryRegisterServedModelPolicy(this.InnerClient);
}
/// <summary>
/// Initializes a new instance for the Prompt Agent mode (Mode 2, record variant):
/// server-side agent definition invoked by record, resolving to the latest version.
/// </summary>
internal FoundryChatClient(AIProjectClient aiProjectClient, ProjectsAgentRecord agentRecord, ChatOptions? baseChatOptions)
: this(aiProjectClient, Throw.IfNull(agentRecord).GetLatestVersion(), baseChatOptions)
{
this._agentRecord = agentRecord;
}
/// <summary>
/// Initializes a new instance for the Prompt Agent mode (Mode 2, version variant):
/// server-side agent definition invoked by a specific version.
/// </summary>
internal FoundryChatClient(AIProjectClient aiProjectClient, ProjectsAgentVersion agentVersion, ChatOptions? baseChatOptions)
: this(
aiProjectClient,
CreateAgentReference(Throw.IfNull(agentVersion)),
(agentVersion.Definition as DeclarativeAgentDefinition)?.Model,
baseChatOptions)
{
this._agentVersion = agentVersion;
}
/// <summary>
/// Initializes a new instance for the Agent Endpoint mode (Mode 3): invocation via the
/// per-agent endpoint URL. Parses the URL into its per-agent
/// <see cref="ProjectOpenAIClient"/> shape internally and forwards through the resulting
/// responses client.
/// </summary>
/// <param name="agentEndpoint">
/// The agent-specific endpoint URI. Must be of the shape
/// <c>https://&lt;host&gt;/.../projects/&lt;project&gt;/agents/&lt;agentName&gt;/endpoint/protocols/openai</c>.
/// </param>
/// <param name="credential">The authentication credential.</param>
/// <param name="clientOptions">Optional per-agent client options. <c>Endpoint</c> and <c>AgentName</c> are owned by this ctor and overridden with values derived from <paramref name="agentEndpoint"/>.</param>
internal FoundryChatClient(Uri agentEndpoint, AuthenticationTokenProvider credential, ProjectOpenAIClientOptions? clientOptions)
: this(BuildAgentEndpointInner(agentEndpoint, credential, clientOptions))
{
}
/// <summary>
/// Initializes a new instance for the Agent Endpoint mode (Mode 3) by reusing an existing
/// <see cref="AIProjectClient"/>'s pipeline. Equivalent to the
/// <see cref="FoundryChatClient(Uri, AuthenticationTokenProvider, ProjectOpenAIClientOptions?)"/>
/// constructor but skips building a fresh per-agent pipeline: the project-level
/// <see cref="ProjectOpenAIClient"/> on <paramref name="aiProjectClient"/> is used directly.
/// </summary>
/// <param name="aiProjectClient">The project client already configured at the project root containing <paramref name="agentEndpoint"/>.</param>
/// <param name="agentEndpoint">The per-agent endpoint URI. Same shape constraints as the other agent-endpoint ctor.</param>
/// <param name="clientOptions">Optional per-agent client options applied to the per-agent <c>GetProjectResponsesClientForAgentEndpoint</c> call.</param>
internal FoundryChatClient(AIProjectClient aiProjectClient, Uri agentEndpoint, ProjectOpenAIClientOptions? clientOptions)
: this(BuildAgentEndpointInnerFromProjectClient(aiProjectClient, agentEndpoint, clientOptions))
{
}
private FoundryChatClient(AgentEndpointInner inner)
: base(inner.ChatClient)
{
this._aiProjectClient = inner.AIProjectClient;
this.AgentName = inner.AgentName;
this._metadata = new ChatClientMetadata("microsoft.foundry");
TryRegisterAgentFrameworkUserAgentPolicy(this.InnerClient);
TryRegisterServedModelPolicy(this.InnerClient);
}
/// <summary>
/// Gets the agent name associated with this chat client.
/// </summary>
/// <remarks>
/// <para>Set in two cases:</para>
/// <list type="bullet">
/// <item>
/// <description>
/// Prompt Agent mode (Mode 2): the value of <see cref="AgentReference.Name"/> supplied at
/// construction.
/// </description>
/// </item>
/// <item>
/// <description>
/// Agent Endpoint mode (Mode 3): the agent name segment parsed from the supplied agent
/// endpoint URI.
/// </description>
/// </item>
/// </list>
/// <para>
/// Returns <see langword="null"/> for the Responses Agent mode (Mode 1) where no agent name
/// exists.
/// </para>
/// </remarks>
internal string? AgentName { get; }
/// <inheritdoc/>
public override object? GetService(Type serviceType, object? serviceKey = null)
{
return (serviceKey is null && serviceType == typeof(ChatClientMetadata))
? this._metadata
: (serviceKey is null && serviceType == typeof(AIProjectClient))
? this._aiProjectClient
: (serviceKey is null && serviceType == typeof(AgentReference))
? this._agentReference
: (serviceKey is null && serviceType == typeof(ProjectsAgentVersion))
? this._agentVersion
: (serviceKey is null && serviceType == typeof(ProjectsAgentRecord))
? this._agentRecord
: base.GetService(serviceType, serviceKey);
}
/// <inheritdoc/>
public override async Task<ChatResponse> GetResponseAsync(IEnumerable<ChatMessage> messages, ChatOptions? options = null, CancellationToken cancellationToken = default)
{
var effectiveOptions = this._agentReference is not null
? this.GetAgentEnabledChatOptions(options)
: options;
var box = new StrongBox<string?>(null);
var previous = ServedModelScope.Current;
ServedModelScope.Current = box;
try
{
var response = await base.GetResponseAsync(messages, effectiveOptions, cancellationToken).ConfigureAwait(false);
if (box.Value is { } servedModel)
{
response.ModelId = servedModel;
}
return response;
}
finally
{
ServedModelScope.Current = previous;
}
}
/// <inheritdoc/>
public override async IAsyncEnumerable<ChatResponseUpdate> GetStreamingResponseAsync(IEnumerable<ChatMessage> messages, ChatOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
{
var effectiveOptions = this._agentReference is not null
? this.GetAgentEnabledChatOptions(options)
: options;
var box = new StrongBox<string?>(null);
var previous = ServedModelScope.Current;
ServedModelScope.Current = box;
try
{
await foreach (var chunk in base.GetStreamingResponseAsync(messages, effectiveOptions, cancellationToken).ConfigureAwait(false))
{
if (box.Value is { } servedModel)
{
chunk.ModelId = servedModel;
}
yield return chunk;
}
}
finally
{
ServedModelScope.Current = previous;
}
}
#region File and vector-store helpers (mirrors Python's foundry_chat_client surface)
/// <summary>
/// Uploads a single file to the project for the supplied purpose. The upload is performed
/// against the project-level <see cref="AIProjectClient"/> reachable via
/// <see cref="GetService(Type, object?)"/>, so this method works uniformly across all three
/// FoundryChatClient construction modes.
/// </summary>
/// <param name="filePath">Absolute or relative path to the file to upload. The file must exist.</param>
/// <param name="purpose">The file upload purpose (e.g. <see cref="FileUploadPurpose.Assistants"/>).</param>
/// <param name="cancellationToken">A token that can cancel the upload.</param>
/// <returns>The created <see cref="OpenAIFile"/> as returned by the service.</returns>
/// <exception cref="ArgumentNullException"><paramref name="filePath"/> is <see langword="null"/>.</exception>
/// <exception cref="FileNotFoundException">The file at <paramref name="filePath"/> does not exist.</exception>
public async Task<OpenAIFile> UploadFileAsync(string filePath, FileUploadPurpose purpose, CancellationToken cancellationToken = default)
{
Throw.IfNull(filePath);
if (!File.Exists(filePath))
{
throw new FileNotFoundException($"File not found: '{filePath}'.", filePath);
}
var fileClient = this.GetOpenAIFileClient();
// Use the Stream overload to honor cancellation; the (string, purpose) overload has no
// CancellationToken parameter in the OpenAI SDK.
using var stream = File.OpenRead(filePath);
var result = await fileClient.UploadFileAsync(stream, Path.GetFileName(filePath), purpose, cancellationToken).ConfigureAwait(false);
return result.Value;
}
/// <summary>Deletes a file previously uploaded to the project.</summary>
/// <param name="fileId">The file id returned by <see cref="UploadFileAsync(string, FileUploadPurpose, CancellationToken)"/>.</param>
/// <param name="cancellationToken">A token that can cancel the delete.</param>
/// <returns>The deletion result.</returns>
/// <exception cref="ArgumentException"><paramref name="fileId"/> is <see langword="null"/> or whitespace.</exception>
public async Task<FileDeletionResult> DeleteFileAsync(string fileId, CancellationToken cancellationToken = default)
{
Throw.IfNullOrWhitespace(fileId);
var fileClient = this.GetOpenAIFileClient();
var result = await fileClient.DeleteFileAsync(fileId, cancellationToken).ConfigureAwait(false);
return result.Value;
}
/// <summary>
/// Uploads the supplied files, creates a vector store containing them, waits until the
/// store finishes ingesting its files (status leaves <see cref="VectorStoreStatus.InProgress"/>),
/// and returns the <see cref="VectorStore"/>. Mirrors Python's
/// <c>foundry_chat_client.create_vector_store(name, files, expires_after_days)</c>.
/// </summary>
/// <param name="name">The vector store name.</param>
/// <param name="filePaths">Paths to files to upload and attach to the store.</param>
/// <param name="expiresAfter">Optional last-active-at expiration window. When supplied, the vector store expires this many days after its last use.</param>
/// <param name="pollingTimeout">Optional upper bound on the wait for the vector store to leave <see cref="VectorStoreStatus.InProgress"/>. Defaults to 5 minutes when not supplied; pass <see cref="Timeout.InfiniteTimeSpan"/> to disable. Independent of <paramref name="cancellationToken"/>: cancellation always wins.</param>
/// <param name="cancellationToken">A token that can cancel the orchestration.</param>
/// <returns>The created and fully-ready <see cref="VectorStore"/>. The returned instance reflects the state observed after polling completes; it may be in <see cref="VectorStoreStatus.Completed"/> (typical), <see cref="VectorStoreStatus.Expired"/>, or any other terminal status returned by the service. Only <see cref="VectorStoreStatus.InProgress"/> is polled.</returns>
/// <remarks>
/// <para>
/// File-upload semantics are best-effort: when one of the per-file uploads throws, this method
/// makes a best-effort attempt to delete the files it has already uploaded so they do not
/// accumulate as orphaned resources on the project, then rethrows the original exception. The
/// cleanup itself does not throw — its failures are silently ignored because the caller is
/// already receiving a more meaningful exception from the original upload failure.
/// </para>
/// <para>
/// Cancellation aborts the polling loop with an <see cref="OperationCanceledException"/>; any
/// already-uploaded files and the partially-created vector store remain on the project and are
/// the caller's responsibility to clean up. The same applies when the polling timeout elapses
/// (a <see cref="TimeoutException"/> is thrown instead).
/// </para>
/// </remarks>
/// <exception cref="ArgumentException"><paramref name="name"/> is <see langword="null"/> or whitespace, or <paramref name="filePaths"/> is <see langword="null"/>.</exception>
/// <exception cref="TimeoutException">The vector store did not leave <see cref="VectorStoreStatus.InProgress"/> within <paramref name="pollingTimeout"/>.</exception>
public async Task<VectorStore> CreateVectorStoreAsync(string name, IEnumerable<string> filePaths, TimeSpan? expiresAfter = null, TimeSpan? pollingTimeout = null, CancellationToken cancellationToken = default)
{
Throw.IfNullOrWhitespace(name);
Throw.IfNull(filePaths);
var fileIds = new List<string>();
try
{
foreach (var path in filePaths)
{
cancellationToken.ThrowIfCancellationRequested();
var uploaded = await this.UploadFileAsync(path, FileUploadPurpose.Assistants, cancellationToken).ConfigureAwait(false);
fileIds.Add(uploaded.Id);
}
}
catch
{
// Q-B: best-effort cleanup of files already uploaded before the mid-loop failure so
// they do not accumulate as orphaned resources on the project. Swallow cleanup
// exceptions — the caller is already going to see the original upload exception, and
// there is nothing useful we can do with a secondary delete failure.
await this.BestEffortDeleteFilesAsync(fileIds).ConfigureAwait(false);
throw;
}
var options = new VectorStoreCreationOptions
{
Name = name,
};
foreach (var id in fileIds)
{
options.FileIds.Add(id);
}
if (expiresAfter is { } window)
{
options.ExpirationPolicy = new VectorStoreExpirationPolicy(VectorStoreExpirationAnchor.LastActiveAt, (int)Math.Ceiling(window.TotalDays));
}
var vectorStoreClient = this.GetVectorStoreClient();
var createResult = await vectorStoreClient.CreateVectorStoreAsync(options, cancellationToken).ConfigureAwait(false);
var created = createResult.Value;
// Q-A: poll until the vector store leaves the in-progress state. Without this the helper
// hands the caller a vector store whose file ingestion may still be running, defeating
// the purpose of the one-call wrapper.
return await WaitForVectorStoreReadyAsync(vectorStoreClient, created, pollingTimeout ?? s_defaultPollingTimeout, cancellationToken).ConfigureAwait(false);
}
private async Task BestEffortDeleteFilesAsync(IEnumerable<string> fileIds)
{
foreach (var id in fileIds)
{
try
{
// Pass CancellationToken.None: cleanup runs in the catch path; the caller's
// token may already be cancelled and we still want to do our best to free
// orphaned resources before propagating the original exception.
await this.DeleteFileAsync(id, CancellationToken.None).ConfigureAwait(false);
}
catch
{
// Silently ignore cleanup failures; see XML doc on CreateVectorStoreAsync.
}
}
}
/// <summary>Upper bound on <see cref="WaitForVectorStoreReadyAsync"/> when the caller does not supply one. Chosen to comfortably cover normal Foundry vector-store ingestion (seconds to a minute for modest file sets) while still surfacing a clear failure if the server is stuck.</summary>
private static readonly TimeSpan s_defaultPollingTimeout = TimeSpan.FromMinutes(5);
private static async Task<VectorStore> WaitForVectorStoreReadyAsync(VectorStoreClient client, VectorStore initial, TimeSpan timeout, CancellationToken cancellationToken)
{
if (initial.Status != VectorStoreStatus.InProgress)
{
return initial;
}
var stopwatch = System.Diagnostics.Stopwatch.StartNew();
var delay = TimeSpan.FromMilliseconds(250);
var maxDelay = TimeSpan.FromSeconds(2);
var current = initial;
while (current.Status == VectorStoreStatus.InProgress)
{
if (timeout != Timeout.InfiniteTimeSpan && stopwatch.Elapsed >= timeout)
{
throw new TimeoutException(
$"Vector store '{current.Id}' did not leave the in-progress state within {timeout.TotalSeconds:0.##} seconds.");
}
await Task.Delay(delay, cancellationToken).ConfigureAwait(false);
var refreshed = await client.GetVectorStoreAsync(current.Id, cancellationToken).ConfigureAwait(false);
current = refreshed.Value;
if (delay < maxDelay)
{
var next = TimeSpan.FromMilliseconds(delay.TotalMilliseconds * 2);
delay = next < maxDelay ? next : maxDelay;
}
}
return current;
}
/// <summary>Deletes a vector store. The associated files (if any) are not deleted by this method; call <see cref="DeleteFileAsync(string, CancellationToken)"/> separately to clean them up.</summary>
/// <param name="vectorStoreId">The vector store id.</param>
/// <param name="cancellationToken">A token that can cancel the delete.</param>
/// <returns>The deletion result.</returns>
/// <exception cref="ArgumentException"><paramref name="vectorStoreId"/> is <see langword="null"/> or whitespace.</exception>
public async Task<VectorStoreDeletionResult> DeleteVectorStoreAsync(string vectorStoreId, CancellationToken cancellationToken = default)
{
Throw.IfNullOrWhitespace(vectorStoreId);
var vectorStoreClient = this.GetVectorStoreClient();
var result = await vectorStoreClient.DeleteVectorStoreAsync(vectorStoreId, cancellationToken).ConfigureAwait(false);
return result.Value;
}
private OpenAIFileClient GetOpenAIFileClient()
{
var projectClient = this._aiProjectClient
?? throw new InvalidOperationException("This FoundryChatClient does not have an AIProjectClient available. File and vector-store helpers require an AIProjectClient.");
return projectClient.GetProjectOpenAIClient().GetOpenAIFileClient();
}
private VectorStoreClient GetVectorStoreClient()
{
var projectClient = this._aiProjectClient
?? throw new InvalidOperationException("This FoundryChatClient does not have an AIProjectClient available. File and vector-store helpers require an AIProjectClient.");
return projectClient.GetProjectOpenAIClient().GetVectorStoreClient();
}
#endregion
/// <summary>
/// Parses an agent endpoint URI of shape
/// <c>https://&lt;host&gt;/.../projects/&lt;project&gt;/agents/&lt;agentName&gt;/endpoint/protocols/openai</c>
/// and returns the agent name and the derived project-root URI.
/// </summary>
/// <remarks>
/// Tolerates trailing slash, casing variants on <c>/agents/</c> and the suffix segment, and
/// strips query string and fragment. Throws <see cref="ArgumentException"/> for inputs that
/// do not match the expected shape.
/// </remarks>
/// <exception cref="ArgumentException">
/// The endpoint is missing the <c>/agents/</c> segment, has an empty agent name, or has a
/// suffix other than <c>/endpoint/protocols/openai</c>.
/// </exception>
internal static (string AgentName, Uri ProjectRoot) ParseAgentEndpoint(Uri agentEndpoint)
{
Throw.IfNull(agentEndpoint);
const string AgentsSegment = "/agents/";
const string ExpectedSuffix = "/endpoint/protocols/openai";
var path = agentEndpoint.AbsolutePath.TrimEnd('/');
var idx = path.IndexOf(AgentsSegment, StringComparison.OrdinalIgnoreCase);
if (idx < 0)
{
throw new ArgumentException(
$"Expected an agent endpoint of shape 'https://<host>/.../projects/<project>/agents/<agentName>/endpoint/protocols/openai' but got '{agentEndpoint}'. " +
"If you want to construct a FoundryAgent against a project endpoint, use the (Uri projectEndpoint, AuthenticationTokenProvider credential, string model, string instructions, ...) constructor instead.",
nameof(agentEndpoint));
}
var afterAgents = path.Substring(idx + AgentsSegment.Length);
var nextSlash = afterAgents.IndexOf('/');
if (nextSlash <= 0)
{
throw new ArgumentException(
$"Agent endpoint '{agentEndpoint}' is missing the '<agentName>{ExpectedSuffix}' suffix.",
nameof(agentEndpoint));
}
var agentName = afterAgents.Substring(0, nextSlash);
var suffix = afterAgents.Substring(nextSlash);
if (!string.Equals(suffix, ExpectedSuffix, StringComparison.OrdinalIgnoreCase))
{
throw new ArgumentException(
$"Agent endpoint '{agentEndpoint}' has an unexpected suffix '{suffix}'. Expected '{ExpectedSuffix}'.",
nameof(agentEndpoint));
}
var rootPath = path.Substring(0, idx);
var projectRoot = new UriBuilder(agentEndpoint)
{
Path = rootPath,
Query = string.Empty,
Fragment = string.Empty,
}.Uri;
return (agentName, projectRoot);
}
private ChatOptions GetAgentEnabledChatOptions(ChatOptions? options)
{
// Start with a clone of the base chat options defined for the agent, if any.
ChatOptions agentEnabledChatOptions = this._baseChatOptions?.Clone() ?? new();
// Ignore per-request all options that can't be overridden.
agentEnabledChatOptions.Instructions = null;
agentEnabledChatOptions.Tools = null;
agentEnabledChatOptions.Temperature = null;
agentEnabledChatOptions.TopP = null;
agentEnabledChatOptions.PresencePenalty = null;
agentEnabledChatOptions.ResponseFormat = null;
// Use the conversation from the request, or the one defined at the client level.
agentEnabledChatOptions.ConversationId = options?.ConversationId ?? this._baseChatOptions?.ConversationId;
// Preserve the original RawRepresentationFactory.
var originalFactory = options?.RawRepresentationFactory;
agentEnabledChatOptions.RawRepresentationFactory = (client) =>
{
if (originalFactory?.Invoke(this) is not CreateResponseOptions responseCreationOptions)
{
responseCreationOptions = new CreateResponseOptions();
}
responseCreationOptions.Agent = this._agentReference;
#pragma warning disable SCME0001 // Type is for evaluation purposes only and is subject to change or removal in future updates.
responseCreationOptions.Patch.Remove("$.model"u8);
#pragma warning restore SCME0001
return responseCreationOptions;
};
return agentEnabledChatOptions;
}
private static AgentReference CreateAgentReference(ProjectsAgentVersion agentVersion)
{
// If the version is null, empty, or whitespace, use "latest" as the default. This handles
// cases where hosted agents (like MCP agents) may not have a version assigned.
var version = string.IsNullOrWhiteSpace(agentVersion.Version) ? "latest" : agentVersion.Version;
return new AgentReference(agentVersion.Name, version);
}
private static AgentEndpointInner BuildAgentEndpointInner(
Uri agentEndpoint,
AuthenticationTokenProvider credential,
ProjectOpenAIClientOptions? clientOptions)
{
Throw.IfNull(agentEndpoint);
Throw.IfNull(credential);
var (agentName, projectRoot) = ParseAgentEndpoint(agentEndpoint);
var perAgentOptions = clientOptions ?? new ProjectOpenAIClientOptions();
perAgentOptions.Endpoint = agentEndpoint;
perAgentOptions.AgentName = agentName;
var authPolicy = new BearerTokenPolicy(credential, AzureAiResourceScope);
var perAgentClient = new ProjectOpenAIClient(authPolicy, perAgentOptions);
var chatClient = perAgentClient.GetProjectResponsesClient().AsIChatClient();
// Materialize a project-level AIProjectClient from the parsed project root so
// GetService<AIProjectClient>() returns non-null for all FoundryChatClient
// construction modes. Project-level helpers (file upload, vector store create/delete)
// depend on this. RBAC for those calls is at the project level; if the supplied
// credential lacks project-scope permissions, the SDK surfaces a clean 401/403 at
// call time. The four observable primitive ClientPipelineOptions properties are
// propagated from the caller's per-agent options bag so test-injected transports and
// explicit RetryPolicy / NetworkTimeout / UserAgentApplicationId reach the
// project-level pipeline. Pipeline policies added via AddPolicy on the caller bag are
// NOT propagated because ClientPipelineOptions does not publicly enumerate policies.
var aiProjectClientOptions = new AIProjectClientOptions();
if (clientOptions is not null)
{
if (clientOptions.RetryPolicy is not null)
{
aiProjectClientOptions.RetryPolicy = clientOptions.RetryPolicy;
}
if (clientOptions.NetworkTimeout is not null)
{
aiProjectClientOptions.NetworkTimeout = clientOptions.NetworkTimeout;
}
if (clientOptions.Transport is not null)
{
aiProjectClientOptions.Transport = clientOptions.Transport;
}
if (!string.IsNullOrEmpty(clientOptions.UserAgentApplicationId))
{
aiProjectClientOptions.UserAgentApplicationId = clientOptions.UserAgentApplicationId;
}
}
var aiProjectClient = new AIProjectClient(projectRoot, credential, aiProjectClientOptions);
return new AgentEndpointInner(chatClient, aiProjectClient, agentName);
}
private static AgentEndpointInner BuildAgentEndpointInnerFromProjectClient(
AIProjectClient aiProjectClient,
Uri agentEndpoint,
ProjectOpenAIClientOptions? clientOptions)
{
Throw.IfNull(aiProjectClient);
Throw.IfNull(agentEndpoint);
var (agentName, _) = ParseAgentEndpoint(agentEndpoint);
var perAgentOptions = clientOptions ?? new ProjectOpenAIClientOptions();
perAgentOptions.Endpoint = agentEndpoint;
perAgentOptions.AgentName = agentName;
var chatClient = aiProjectClient.GetProjectOpenAIClient()
.GetProjectResponsesClientForAgentEndpoint(agentName, options: perAgentOptions)
.AsIChatClient();
// Reuse the caller's AIProjectClient verbatim — no new pipeline is materialized.
return new AgentEndpointInner(chatClient, aiProjectClient, agentName);
}
/// <summary>Best-effort registration of <see cref="AgentFrameworkUserAgentPolicy"/> via the MEAI <see cref="OpenAIRequestPolicies"/> hook with at-most-once dedup per pipeline.</summary>
private static void TryRegisterAgentFrameworkUserAgentPolicy(IChatClient? innerClient)
{
if (innerClient?.GetService<OpenAIRequestPolicies>() is { } policies)
{
// OpenAIRequestPoliciesReflection.AddPolicyIfMissing performs a check-then-add against
// the private _entries collection on the OpenAIRequestPolicies instance, so the
// policy is registered at most once even when many FoundryChatClient instances share
// the same underlying chat client.
OpenAIRequestPoliciesReflection.AddPolicyIfMissing(
policies,
AgentFrameworkUserAgentPolicy.Instance,
PipelinePosition.PerCall);
}
}
/// <summary>
/// Best-effort registration of <see cref="ServedModelPolicy"/> via the MEAI
/// <see cref="OpenAIRequestPolicies"/> hook. The policy captures the
/// <c>x-ms-served-model</c> response header from Azure OpenAI and writes it into
/// <see cref="ServedModelScope"/> so the <see cref="GetResponseAsync"/> and
/// <see cref="GetStreamingResponseAsync"/> overrides can overwrite
/// <see cref="ChatResponse.ModelId"/> with the actual model snapshot.
/// </summary>
private static void TryRegisterServedModelPolicy(IChatClient? innerClient)
{
if (innerClient?.GetService<OpenAIRequestPolicies>() is { } policies)
{
OpenAIRequestPoliciesReflection.AddPolicyIfMissing(
policies,
ServedModelPolicy.Instance,
PipelinePosition.PerCall);
}
}
/// <summary>Default OAuth scope for the Azure AI resource. Matches the scope used by <c>Azure.AI.Extensions.OpenAI</c>'s internal authentication helper so the bearer token is accepted by the Foundry control plane.</summary>
private const string AzureAiResourceScope = "https://ai.azure.com/.default";
private readonly struct AgentEndpointInner
{
public AgentEndpointInner(IChatClient chatClient, AIProjectClient aiProjectClient, string agentName)
{
this.ChatClient = chatClient;
this.AIProjectClient = aiProjectClient;
this.AgentName = agentName;
}
public IChatClient ChatClient { get; }
public AIProjectClient AIProjectClient { get; }
public string AgentName { get; }
}
}
@@ -1,150 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Diagnostics.CodeAnalysis;
using System.Threading;
using System.Threading.Tasks;
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
using OpenAI.Responses;
#pragma warning disable OPENAI001
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// Shared internal implementation behind the public <c>ToPromptAgentAsync</c> extension methods
/// on <see cref="ChatClientAgent"/> and <see cref="FoundryAgent"/>. Converts a Foundry-backed
/// agent into a <see cref="ProjectsAgentDefinition"/> ready to publish via
/// <see cref="AgentAdministrationClient"/>.
/// </summary>
/// <remarks>
/// <para>
/// Dispatch by <see cref="FoundryChatClient"/> construction mode (reachable via
/// <see cref="IChatClient.GetService(Type, object?)"/>):
/// </para>
/// <list type="bullet">
/// <item><description><b>Responses Agent (Mode 1)</b>: synthesize a <see cref="DeclarativeAgentDefinition"/> from the agent's <see cref="ChatOptions"/>.</description></item>
/// <item><description><b>Prompt Agent (Mode 2, cached version)</b>: return the cached <see cref="ProjectsAgentVersion.Definition"/>.</description></item>
/// <item><description><b>Prompt Agent (Mode 2, AgentReference-only)</b>: fetch the latest version from the service and return its definition.</description></item>
/// <item><description><b>Agent Endpoint (Mode 3)</b>: throw — no local definition exists to convert.</description></item>
/// </list>
/// </remarks>
[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
internal static class FoundryPromptAgentConverter
{
/// <summary>Performs the conversion for an agent whose chat client and chat options are supplied.</summary>
/// <param name="chatClient">The chat client extracted from the calling agent (must surface a <see cref="FoundryChatClient"/> via <see cref="IChatClient.GetService(Type, object?)"/>).</param>
/// <param name="chatOptions">The agent's chat options (model id, instructions, temperature, top-p, tools). Required for the Responses Agent mode; ignored for the Prompt Agent mode.</param>
/// <param name="cancellationToken">A token that can cancel a server-side fetch (Prompt Agent AgentReference path).</param>
/// <returns>A <see cref="ProjectsAgentDefinition"/> suitable for <c>AgentAdministrationClient.CreateAgentVersionAsync</c>.</returns>
/// <exception cref="InvalidOperationException">Thrown when the chat client is not Foundry-backed, the agent was constructed via the Agent Endpoint mode, no model id is set for the Responses Agent mode, or an unsupported <see cref="AITool"/> is encountered.</exception>
public static async Task<ProjectsAgentDefinition> ConvertAsync(IChatClient chatClient, ChatOptions? chatOptions, CancellationToken cancellationToken)
{
Throw.IfNull(chatClient);
var foundryChatClient = chatClient.GetService<FoundryChatClient>()
?? throw new InvalidOperationException(
"ToPromptAgentAsync requires a FoundryChatClient-backed agent. " +
"The supplied agent's chat client does not expose a FoundryChatClient via GetService<FoundryChatClient>().");
// Prompt Agent (Mode 2) with a cached server-side version (constructed via ProjectsAgentVersion or ProjectsAgentRecord).
if (foundryChatClient.GetService<ProjectsAgentVersion>() is { } cachedVersion)
{
return cachedVersion.Definition;
}
// Prompt Agent (Mode 2) AgentReference-only: fetch the agent definition from the service.
// Honor a pinned AgentReference.Version when present (Q-C fix); fall back to the latest
// version only when the reference is unpinned ("", null, or "latest").
if (foundryChatClient.GetService<AgentReference>() is { } agentReference)
{
var aiProjectClient = foundryChatClient.GetService<AIProjectClient>()
?? throw new InvalidOperationException(
"Cannot fetch the agent version because the FoundryChatClient does not expose an AIProjectClient.");
if (!string.IsNullOrWhiteSpace(agentReference.Version)
&& !string.Equals(agentReference.Version, "latest", StringComparison.OrdinalIgnoreCase))
{
var pinnedVersion = await aiProjectClient.AgentAdministrationClient
.GetAgentVersionAsync(agentReference.Name, agentReference.Version, cancellationToken)
.ConfigureAwait(false);
return pinnedVersion.Value.Definition;
}
var record = await aiProjectClient.AgentAdministrationClient
.GetAgentAsync(agentReference.Name, cancellationToken)
.ConfigureAwait(false);
return record.Value.GetLatestVersion().Definition;
}
// Agent Endpoint (Mode 3): AgentName is set (parsed from URL) but no AgentReference exists
// locally. The agent definition lives only on the server and is not retrievable through this
// chat client, so conversion is not supported here.
if (foundryChatClient.AgentName is not null)
{
throw new InvalidOperationException(
"ToPromptAgentAsync is not supported for agents constructed via the Agent Endpoint mode (Mode 3); " +
"no local definition exists to convert.");
}
// Responses Agent (Mode 1): synthesize from ChatOptions.
return SynthesizeFromChatOptions(chatOptions);
}
private static DeclarativeAgentDefinition SynthesizeFromChatOptions(ChatOptions? chatOptions)
{
if (chatOptions is null || string.IsNullOrWhiteSpace(chatOptions.ModelId))
{
throw new InvalidOperationException(
"ToPromptAgentAsync requires a model id on the agent's ChatOptions to synthesize a prompt agent definition.");
}
var definition = new DeclarativeAgentDefinition(chatOptions.ModelId!)
{
Instructions = chatOptions.Instructions,
Temperature = chatOptions.Temperature,
TopP = chatOptions.TopP,
};
if (chatOptions.Tools is { Count: > 0 } tools)
{
foreach (var tool in tools)
{
definition.Tools.Add(ConvertTool(tool));
}
}
return definition;
}
private static ResponseTool ConvertTool(AITool tool)
{
Throw.IfNull(tool);
if (tool is AIFunction function)
{
// strictModeEnabled is intentionally true to match the Python spec's
// default behavior. JsonSchema on AIFunction is a JsonElement; serialize via its
// string form so the payload matches what callers pass elsewhere in this codebase.
return ResponseTool.CreateFunctionTool(
function.Name,
BinaryData.FromString(function.JsonSchema.ToString() ?? "{}"),
strictModeEnabled: true,
function.Description);
}
if (tool.GetService(typeof(ResponseTool)) is ResponseTool responseTool)
{
return responseTool;
}
throw new InvalidOperationException(
$"Cannot convert AITool of type '{tool.GetType().Name}' to a ResponseTool. " +
"Only AIFunction and AITool instances that wrap a ResponseTool (such as those produced by FoundryAITool factories) are supported.");
}
}
@@ -0,0 +1,58 @@
// Copyright (c) Microsoft. All rights reserved.
using System.ClientModel.Primitives;
using System.Collections.Generic;
using System.Reflection;
using System.Threading.Tasks;
namespace Microsoft.Agents.AI;
internal static class RequestOptionsExtensions
{
/// <summary>Gets the singleton <see cref="PipelinePolicy"/> that adds a MEAI user-agent header.</summary>
internal static PipelinePolicy UserAgentPolicy => MeaiUserAgentPolicy.Instance;
/// <summary>Provides a pipeline policy that adds a "MEAI/x.y.z" user-agent header.</summary>
private sealed class MeaiUserAgentPolicy : PipelinePolicy
{
public static MeaiUserAgentPolicy Instance { get; } = new MeaiUserAgentPolicy();
private static readonly string s_userAgentValue = CreateUserAgentValue();
public override void Process(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
{
AddUserAgentHeader(message);
ProcessNext(message, pipeline, currentIndex);
}
public override ValueTask ProcessAsync(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
{
AddUserAgentHeader(message);
return ProcessNextAsync(message, pipeline, currentIndex);
}
private static void AddUserAgentHeader(PipelineMessage message) =>
message.Request.Headers.Add("User-Agent", s_userAgentValue);
private static string CreateUserAgentValue()
{
const string Name = "MEAI";
if (typeof(MeaiUserAgentPolicy).Assembly.GetCustomAttribute<AssemblyInformationalVersionAttribute>()?.InformationalVersion is string version)
{
int pos = version.IndexOf('+');
if (pos >= 0)
{
version = version.Substring(0, pos);
}
if (version.Length > 0)
{
return $"{Name}/{version}";
}
}
return Name;
}
}
}
@@ -1,67 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.ClientModel.Primitives;
using System.Collections.Generic;
using System.Threading.Tasks;
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// Pipeline policy that captures the <c>x-ms-served-model</c> response header from Azure OpenAI
/// and stores it in <see cref="ServedModelScope"/> for consumption by <see cref="FoundryChatClient"/>.
/// </summary>
/// <remarks>
/// <para>
/// Azure OpenAI Responses API returns the deployment alias in <c>response.model</c> but the actual
/// model snapshot (e.g. <c>gpt-5-nano-2025-08-07</c>) in the <c>x-ms-served-model</c> response header.
/// This policy extracts the header after the HTTP roundtrip so the <see cref="FoundryChatClient"/>
/// can overwrite <c>ChatResponse.ModelId</c> with the true model name.
/// </para>
/// <para>
/// Registered once per <c>OpenAIRequestPolicies</c> instance via the MEAI 10.5.1 extension hook.
/// When the header is absent (non-Azure endpoints), the scope is not set and the
/// <see cref="FoundryChatClient"/> preserves the original model name.
/// </para>
/// </remarks>
internal sealed class ServedModelPolicy : PipelinePolicy
{
/// <summary>The Azure OpenAI response header that carries the actual served model name.</summary>
internal const string ServedModelHeader = "x-ms-served-model";
public static ServedModelPolicy Instance { get; } = new ServedModelPolicy();
private ServedModelPolicy()
{
}
public override void Process(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
{
ProcessNext(message, pipeline, currentIndex);
CaptureServedModel(message);
}
public override async ValueTask ProcessAsync(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
{
await ProcessNextAsync(message, pipeline, currentIndex).ConfigureAwait(false);
CaptureServedModel(message);
}
private static void CaptureServedModel(PipelineMessage message)
{
if (message.Response is null)
{
return;
}
if (message.Response.Headers.TryGetValue(ServedModelHeader, out string? servedModel)
&& !string.IsNullOrWhiteSpace(servedModel))
{
// Write into the box (reference-type mutation) so the value is visible to the
// FoundryChatClient that pushed the box before calling the inner client.
if (ServedModelScope.Current is { } box)
{
box.Value = servedModel.Trim();
}
}
}
}
@@ -1,35 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Runtime.CompilerServices;
using System.Threading;
namespace Microsoft.Agents.AI.Foundry;
/// <summary>
/// AsyncLocal carrier that bridges the <c>x-ms-served-model</c> response header value from the
/// <see cref="ServedModelPolicy"/> running inside the SCM transport pipeline up to the
/// <see cref="FoundryChatClient"/> decorator.
/// </summary>
/// <remarks>
/// <para>
/// Because <see cref="AsyncLocal{T}"/> mutations inside a child <c>async</c> method do not propagate
/// back to the caller (copy-on-write semantics), this scope uses <see cref="StrongBox{T}"/> as an
/// indirection layer. The <see cref="FoundryChatClient"/> pushes a fresh box onto the scope
/// before calling the inner client; the <see cref="ServedModelPolicy"/> writes into the box's
/// <see cref="StrongBox{T}.Value"/> (a reference-type mutation visible to anyone holding the same box).
/// After the inner call returns, the client reads the box's value.
/// </para>
/// </remarks>
internal static class ServedModelScope
{
private static readonly AsyncLocal<StrongBox<string?>?> s_current = new();
/// <summary>
/// Gets or sets the per-async-flow served model box.
/// </summary>
public static StrongBox<string?>? Current
{
get => s_current.Value;
set => s_current.Value = value;
}
}
@@ -4,11 +4,7 @@ using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.IO;
using System.Linq;
using Microsoft.Agents.AI.Compaction;
#if NET
using Microsoft.Agents.AI.Tools.Shell;
#endif
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
@@ -134,7 +130,7 @@ public sealed class HarnessAgent : DelegatingAIAgent
if (options?.DisableOpenTelemetry is not true)
{
builder.UseOpenTelemetry(sourceName: options?.OpenTelemetrySourceName);
builder.UseOpenTelemetry();
}
return builder.Build();
@@ -187,8 +183,6 @@ public sealed class HarnessAgent : DelegatingAIAgent
AIContextProviders = contextProviders,
UseProvidedChatClientAsIs = true,
RequirePerServiceCallChatHistoryPersistence = true,
WarnOnChatHistoryProviderConflict = false,
ThrowOnChatHistoryProviderConflict = false,
});
}
@@ -204,14 +198,6 @@ public sealed class HarnessAgent : DelegatingAIAgent
result.Tools.Add(new HostedWebSearchTool());
}
#if NET
if (options?.ShellExecutor is ShellExecutor shellExecutor)
{
result.Tools ??= [];
result.Tools.Add(shellExecutor.AsAIFunction());
}
#endif
return result;
}
@@ -261,22 +247,6 @@ public sealed class HarnessAgent : DelegatingAIAgent
providers.Add(skillsProvider);
}
if (options?.BackgroundAgents is IEnumerable<AIAgent> backgroundAgents)
{
var materializedAgents = backgroundAgents.ToList();
if (materializedAgents.Count > 0)
{
providers.Add(new BackgroundAgentsProvider(materializedAgents, options.BackgroundAgentsProviderOptions));
}
}
#if NET
if (options?.ShellExecutor is ShellExecutor shellExecutor)
{
providers.Add(new ShellEnvironmentProvider(shellExecutor, options.ShellEnvironmentProviderOptions));
}
#endif
if (options?.AIContextProviders is IEnumerable<AIContextProvider> userProviders)
{
providers.AddRange(userProviders);
@@ -2,9 +2,6 @@
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
#if NET
using Microsoft.Agents.AI.Tools.Shell;
#endif
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
@@ -209,61 +206,4 @@ public sealed class HarnessAgentOptions
/// following the Semantic Conventions for Generative AI systems.
/// </remarks>
public bool DisableOpenTelemetry { get; set; }
/// <summary>
/// Gets or sets the OpenTelemetry source name used by the <see cref="OpenTelemetryAgent"/> wrapper.
/// </summary>
/// <remarks>
/// When <see langword="null"/> (the default), the framework's default source name
/// (<c>"Experimental.Microsoft.Agents.AI"</c>) is used.
/// Set this to a custom value to enable filtering spans from a specific <see cref="System.Diagnostics.ActivitySource"/>
/// in your <c>TracerProvider</c> configuration.
/// This property is ignored when <see cref="DisableOpenTelemetry"/> is <see langword="true"/>.
/// </remarks>
public string? OpenTelemetrySourceName { get; set; }
/// <summary>
/// Gets or sets the collection of background agents available for delegation via <see cref="BackgroundAgentsProvider"/>.
/// </summary>
/// <remarks>
/// When non-null and non-empty, a <see cref="BackgroundAgentsProvider"/> is automatically included in the
/// agent's context providers, enabling the agent to start, monitor, and retrieve results from background tasks.
/// When <see langword="null"/> or empty, no <see cref="BackgroundAgentsProvider"/> is configured.
/// Each agent in the collection must have a non-empty <see cref="AIAgent.Name"/> and names must be unique
/// (case-insensitive). If these requirements are not met, <see cref="BackgroundAgentsProvider"/> will throw
/// an <see cref="System.ArgumentException"/> during construction.
/// </remarks>
public IEnumerable<AIAgent>? BackgroundAgents { get; set; }
/// <summary>
/// Gets or sets optional configuration for the <see cref="BackgroundAgentsProvider"/>.
/// </summary>
/// <remarks>
/// Use this to customize instructions or agent list formatting for the background agents feature.
/// This property is ignored when <see cref="BackgroundAgents"/> is <see langword="null"/> or empty.
/// </remarks>
public BackgroundAgentsProviderOptions? BackgroundAgentsProviderOptions { get; set; }
#if NET
/// <summary>
/// Gets or sets the shell executor used to enable shell tool and environment probing via <see cref="ShellEnvironmentProvider"/>.
/// </summary>
/// <remarks>
/// When non-null, a <see cref="ShellEnvironmentProvider"/> is automatically included in the agent's context
/// providers (injecting OS/shell/CWD information into the system prompt), and the executor's
/// <see cref="ShellExecutor.AsAIFunction"/> is registered as a callable tool.
/// When <see langword="null"/> (the default), no shell features are enabled.
/// </remarks>
public ShellExecutor? ShellExecutor { get; set; }
/// <summary>
/// Gets or sets optional configuration for the <see cref="ShellEnvironmentProvider"/>.
/// </summary>
/// <remarks>
/// Use this to customize which tools are probed, the probe timeout, shell family override,
/// or the instructions formatter.
/// This property is ignored when <see cref="ShellExecutor"/> is <see langword="null"/>.
/// </remarks>
public ShellEnvironmentProviderOptions? ShellEnvironmentProviderOptions { get; set; }
#endif
}
@@ -15,10 +15,6 @@
<ProjectReference Include="..\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
</ItemGroup>
<ItemGroup Condition="$([MSBuild]::IsTargetFrameworkCompatible('$(TargetFramework)', 'net8.0'))">
<ProjectReference Include="..\Microsoft.Agents.AI.Tools.Shell\Microsoft.Agents.AI.Tools.Shell.csproj" />
</ItemGroup>
<PropertyGroup>
<!-- NuGet Package Settings -->
<Title>Microsoft Agent Framework Harness</Title>
@@ -248,7 +248,7 @@ public sealed class DockerShellExecutor : ShellExecutor
/// Build the AIFunction for this tool.
/// </summary>
/// <remarks>
/// When <paramref name="requireApproval"/> is <see langword="true"/>
/// When <paramref name="requireApproval"/> is <see langword="null"/>
/// (the default), the returned function is wrapped in
/// <see cref="ApprovalRequiredAIFunction"/>. The caller must
/// explicitly pass <see langword="false"/> to opt out of approval
@@ -259,12 +259,14 @@ public sealed class DockerShellExecutor : ShellExecutor
/// <param name="name">Function name surfaced to the model.</param>
/// <param name="description">Function description for the model.</param>
/// <param name="requireApproval">
/// <see langword="true"/> (the default) wraps the function in
/// <see cref="ApprovalRequiredAIFunction"/>;
/// <see langword="true"/> or <see langword="null"/> (the default)
/// wraps the function in <see cref="ApprovalRequiredAIFunction"/>;
/// <see langword="false"/> opts out and returns the raw function.
/// </param>
public override AIFunction AsAIFunction(string name = "run_shell", string? description = null, bool requireApproval = true)
public AIFunction AsAIFunction(string name = "run_shell", string? description = null, bool? requireApproval = null)
{
var effectiveRequireApproval = requireApproval ?? true;
description ??=
"Execute a single shell command inside an isolated Docker container and return its " +
"stdout, stderr, and exit code. The container has no network, no host filesystem access " +
@@ -290,7 +292,7 @@ public sealed class DockerShellExecutor : ShellExecutor
},
new AIFunctionFactoryOptions { Name = name, Description = description });
return requireApproval ? new ApprovalRequiredAIFunction(fn) : fn;
return effectiveRequireApproval ? new ApprovalRequiredAIFunction(fn) : fn;
}
/// <summary>
@@ -325,7 +325,7 @@ public sealed class LocalShellExecutor : ShellExecutor
/// container where the tool itself is the boundary).
/// </param>
/// <returns>An <see cref="AIFunction"/> wrapping <see cref="RunAsync"/>.</returns>
public override AIFunction AsAIFunction(string name = "run_shell", string? description = null, bool requireApproval = true)
public AIFunction AsAIFunction(string name = "run_shell", string? description = null, bool requireApproval = true)
{
if (!requireApproval && !this._acknowledgeUnsafe)
{
@@ -3,7 +3,6 @@
using System;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
namespace Microsoft.Agents.AI.Tools.Shell;
@@ -66,20 +65,6 @@ public abstract class ShellExecutor : IAsyncDisposable
/// <param name="cancellationToken">Cancellation token.</param>
public abstract Task<ShellResult> RunAsync(string command, CancellationToken cancellationToken = default);
/// <summary>
/// Build an <see cref="AIFunction"/> bound to this executor, suitable for
/// registering with an agent as a callable tool.
/// </summary>
/// <param name="name">Function name visible to the model.</param>
/// <param name="description">Function description for the model.</param>
/// <param name="requireApproval">
/// When <see langword="true"/> (the default), wraps the function in
/// <see cref="ApprovalRequiredAIFunction"/> so every invocation requires
/// explicit user approval before executing.
/// </param>
/// <returns>An <see cref="AIFunction"/> wrapping <see cref="RunAsync"/>.</returns>
public abstract AIFunction AsAIFunction(string name = "run_shell", string? description = null, bool requireApproval = true);
/// <inheritdoc />
public abstract ValueTask DisposeAsync();
}
@@ -12,7 +12,6 @@ using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
using Microsoft.Shared.Diagnostics;
using ModelContextProtocol;
using ModelContextProtocol.Client;
using ModelContextProtocol.Protocol;
@@ -28,8 +27,6 @@ namespace Microsoft.Agents.AI.Workflows.Declarative.Mcp;
/// </remarks>
public sealed class DefaultMcpToolHandler : IMcpToolHandler, IAsyncDisposable
{
private const string FilenameAdditionalPropertyName = "filename";
/// <summary>
/// Reserved <c>toolName</c> value that maps an <see cref="IMcpToolHandler.InvokeToolAsync"/> request
/// to the MCP protocol <c>tools/list</c> discovery operation.
@@ -275,46 +272,46 @@ public sealed class DefaultMcpToolHandler : IMcpToolHandler, IAsyncDisposable
internal static AIContent ConvertContentBlock(ContentBlock block)
{
// Delegate to the MCP SDK's canonical converter. It maps every known
// ContentBlock subtype (Text/Image/Audio/EmbeddedResource/ToolUse/ToolResult)
// and sets RawRepresentation + AdditionalProperties from block.Meta.
// It intentionally returns null for ResourceLinkBlock — map that to
// UriContent here so callers always receive a usable AIContent.
return block.ToAIContent() ?? block switch
return block switch
{
ResourceLinkBlock link => new UriContent(link.Uri, link.MimeType ?? "application/octet-stream")
{
RawRepresentation = link,
AdditionalProperties = CreateAdditionalProperties(link),
},
_ => new TextContent(block.ToString() ?? string.Empty)
{
RawRepresentation = block,
AdditionalProperties = CreateAdditionalProperties(block),
},
TextContentBlock text => new TextContent(text.Text),
ImageContentBlock image => CreateDataContent(image.Data, image.MimeType ?? "image/*"),
AudioContentBlock audio => CreateDataContent(audio.Data, audio.MimeType ?? "audio/*"),
EmbeddedResourceBlock embedded => ConvertEmbeddedResource(embedded),
_ => new TextContent(block.ToString() ?? string.Empty),
};
}
private static AdditionalPropertiesDictionary? CreateAdditionalProperties(ContentBlock block)
private static AIContent ConvertEmbeddedResource(EmbeddedResourceBlock block)
{
AdditionalPropertiesDictionary? properties = null;
if (block.Meta is not null)
return block.Resource switch
{
foreach (var property in block.Meta)
{
properties ??= new AdditionalPropertiesDictionary();
properties.Add(property.Key, property.Value);
}
TextResourceContents text => new TextContent(text.Text),
BlobResourceContents blob => CreateDataContent(blob.Blob, blob.MimeType ?? "application/octet-stream"),
_ => new TextContent(block.ToString() ?? string.Empty),
};
}
private static DataContent CreateDataContent(ReadOnlyMemory<byte> base64Utf8Data, string mediaType)
{
if (base64Utf8Data.IsEmpty)
{
return new DataContent($"data:{mediaType};base64,", mediaType);
}
if (block is ResourceLinkBlock { Name: { Length: > 0 } name })
#if NET8_0_OR_GREATER
string base64 = Encoding.UTF8.GetString(base64Utf8Data.Span);
#else
string base64 = Encoding.UTF8.GetString(base64Utf8Data.ToArray());
#endif
// If it's already a data URI, use it directly
if (base64.StartsWith("data:", StringComparison.OrdinalIgnoreCase))
{
properties ??= new AdditionalPropertiesDictionary();
properties.TryAdd(FilenameAdditionalPropertyName, name);
return new DataContent(base64, mediaType);
}
return properties;
return new DataContent($"data:{mediaType};base64,{base64}", mediaType);
}
private static string SerializeToolsList(IEnumerable<Tool> tools)
@@ -22,13 +22,9 @@ internal static class AgentProviderExtensions
{
IAsyncEnumerable<AgentResponseUpdate> agentUpdates = agentProvider.InvokeAgentAsync(agentName, null, conversationId, inputMessages, inputArguments, cancellationToken);
// Determine whether the target conversation is the workflow conversation
// (used below to decide whether to mirror messages into the workflow conversation
// when an agent runs against a different conversation). The caller's autoSend
// value is honored as-is — when the workflow.yaml specifies autoSend: false the
// raw agent output must not be streamed to the caller, even when the agent is
// running on the workflow conversation.
// Enable "autoSend" behavior if this is the workflow conversation.
bool isWorkflowConversation = context.IsWorkflowConversation(conversationId, out string? workflowConversationId);
autoSend |= isWorkflowConversation;
// Process the agent response updates.
List<AgentResponseUpdate> updates = [];
@@ -71,13 +71,6 @@ internal abstract class DeclarativeActionExecutor : Executor<ActionExecutorResul
[SendsMessage(typeof(ActionExecutorResult))]
public override async ValueTask HandleAsync(ActionExecutorResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Establish the Foundry ProductContext on the current async logical context before
// running any code that reads PropertyPath.VariableName / NamespaceAlias. ObjectModel
// resolves those lazily against AsyncLocal<ProductContext>; when the workflow is
// hosted (AsAIAgent + AddFoundryResponses) each HTTP request runs on a fresh logical
// context where the build-thread setting does not flow.
WorkflowDiagnostics.SetFoundryProduct();
if (this.Model.Disabled)
{
Debug.WriteLine($"DISABLED {this.GetType().Name} [{this.Id}]");
@@ -192,16 +192,13 @@ internal sealed class InvokeAzureAgentExecutor(InvokeAzureAgent model, ResponseA
private bool GetAutoSendValue()
{
// AzureAgentOutput.AutoSend is never null — it returns a literal-false default
// when the YAML omits the field. Use AutoSendIsDefaultValue to distinguish an
// explicit autoSend value from the implicit default, and treat the implicit
// default as autoSend = true (the historical behavior for actions that omit
// autoSend or have no output block at all).
if (this.AgentOutput is { AutoSendIsDefaultValue: false } output)
if (this.AgentOutput?.AutoSend is null)
{
return this.Evaluator.GetValue(output.AutoSend).Value;
return true;
}
return true;
EvaluationResult<bool> autoSendResult = this.Evaluator.GetValue(this.AgentOutput.AutoSend);
return autoSendResult.Value;
}
}
@@ -1,6 +1,5 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text.Json;
@@ -104,24 +103,6 @@ internal sealed class InvokeFunctionToolExecutor(
FunctionResultContent? matchingResult = functionResults
.FirstOrDefault(r => r.CallId == this.Id);
// When the caller approved an approval-required function call but didn't execute it
// locally (the hosted Foundry scenario, where mcp_approval_response is converted to a
// ToolApprovalResponseContent only), invoke the registered AIFunction here so that the
// declarative workflow can capture the result and continue (e.g. for downstream
// SendActivity/PropertyPath consumers like {Local.Result}).
if (matchingResult is null)
{
ToolApprovalResponseContent? approval = response.Messages
.SelectMany(m => m.Contents)
.OfType<ToolApprovalResponseContent>()
.FirstOrDefault(r => r.RequestId == this.Id);
if (approval is { Approved: true })
{
matchingResult = await this.InvokeRegisteredFunctionAsync(cancellationToken).ConfigureAwait(false);
}
}
if (matchingResult is not null)
{
// Store the result in output variable
@@ -260,48 +241,6 @@ internal sealed class InvokeFunctionToolExecutor(
return conversationIdValue.Length == 0 ? null : conversationIdValue;
}
private async ValueTask<FunctionResultContent?> InvokeRegisteredFunctionAsync(CancellationToken cancellationToken)
{
string functionName = this.GetFunctionName();
AIFunction? function = agentProvider.Functions?.FirstOrDefault(
f => string.Equals(f.Name, functionName, StringComparison.Ordinal));
if (function is null)
{
return new FunctionResultContent(this.Id, result: null)
{
Exception = new InvalidOperationException(
$"Function '{functionName}' is not registered with the agent provider."),
};
}
Dictionary<string, object?>? arguments = this.GetArguments();
AIFunctionArguments? functionArguments = arguments is null ? null : new AIFunctionArguments(arguments);
object? result;
try
{
result = await function.InvokeAsync(functionArguments, cancellationToken).ConfigureAwait(false);
}
catch (Exception ex) when (ex is not OperationCanceledException)
{
return new FunctionResultContent(this.Id, result: null) { Exception = ex };
}
// Match FunctionInvokingChatClient's serialization: pass strings through as-is and
// JSON-serialize anything else so structured results remain consumable by downstream
// PropertyPath consumers such as {Local.RefundResult}. Use AIJsonUtilities so the
// same trim/AOT-friendly serializer chain used elsewhere in the framework is applied.
string serialized = result switch
{
null => string.Empty,
string s => s,
_ => JsonSerializer.Serialize(result, AIJsonUtilities.DefaultOptions.GetTypeInfo(result.GetType())),
};
return new FunctionResultContent(this.Id, serialized);
}
private bool GetRequireApproval()
{
if (this.Model.RequireApproval is null)
@@ -314,16 +253,12 @@ internal sealed class InvokeFunctionToolExecutor(
private bool GetAutoSendValue()
{
// InvokeToolOutput.AutoSend is never null — it returns a literal-false default
// when the YAML omits the field. Use AutoSendIsDefaultValue to distinguish an
// explicit autoSend value from the implicit default, and treat the implicit
// default as autoSend = true (the historical behavior).
if (this.Model.Output is { AutoSendIsDefaultValue: false } output)
if (this.Model.Output?.AutoSend is null)
{
return this.Evaluator.GetValue(output.AutoSend).Value;
return true;
}
return true;
return this.Evaluator.GetValue(this.Model.Output.AutoSend).Value;
}
private Dictionary<string, object?>? GetArguments()
@@ -311,16 +311,12 @@ internal sealed class InvokeMcpToolExecutor(
private bool GetAutoSendValue()
{
// InvokeToolOutput.AutoSend is never null — it returns a literal-false default
// when the YAML omits the field. Use AutoSendIsDefaultValue to distinguish an
// explicit autoSend value from the implicit default, and treat the implicit
// default as autoSend = true (the historical behavior).
if (this.Model.Output is { AutoSendIsDefaultValue: false } output)
if (this.Model.Output?.AutoSend is null)
{
return this.Evaluator.GetValue(output.AutoSend).Value;
return true;
}
return true;
return this.Evaluator.GetValue(this.Model.Output.AutoSend).Value;
}
private string? GetConnectionName()
@@ -21,21 +21,12 @@ internal sealed class SendActivityExecutor(SendActivity model, WorkflowFormulaSt
await context.AddEventAsync(new MessageActivityEvent(activityText.Trim()), cancellationToken).ConfigureAwait(false);
ChatMessage message = new(ChatRole.Assistant, activityText);
// Emit an AgentResponseUpdateEvent so chat protocols (e.g. AsAIAgent) receive the
// activity text as streaming chat content. This event is yielded by WorkflowSession
// unconditionally, mirroring how AgentProviderExtensions surfaces autoSend agent
// updates — without it, SendActivity output is dropped whenever the host runs with
// includeWorkflowOutputsInResponse = false (the default).
AgentResponseUpdate update = new(ChatRole.Assistant, activityText) { AuthorName = this.Id };
await context.AddEventAsync(new AgentResponseUpdateEvent(this.Id, update), cancellationToken).ConfigureAwait(false);
// Route through YieldOutputAsync so the activity participates in the workflow's
// output-filter pipeline. The runner currently special-cases AgentResponse to
// produce an AgentResponseEvent identical to the one we'd build by hand, which
// is the gated summary surfaced only when includeWorkflowOutputsInResponse = true.
AgentResponse response = new([message]);
// produce an AgentResponseEvent identical to the one we'd build by hand, so this
// is behavior-preserving today and forward-compatible if filtering is ever
// applied to agent responses.
AgentResponse response = new([new ChatMessage(ChatRole.Assistant, activityText)]);
await context.YieldOutputAsync(response, cancellationToken).ConfigureAwait(false);
}
@@ -1,229 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.IO;
using System.Threading.Tasks;
using AgentConformance.IntegrationTests.Support;
using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Foundry;
using OpenAI.Files;
using OpenAI.Responses;
using OpenAI.VectorStores;
using Shared.IntegrationTests;
namespace Foundry.IntegrationTests;
/// <summary>
/// Integration tests for the file and vector-store forwarder extensions on
/// <see cref="FoundryAgent"/> declared in <see cref="FoundryAgentExtensions"/>. End-to-end
/// counterparts of the unit tests in
/// <c>FoundryAgentExtensionsTests</c> that exercise the live Foundry project pipeline.
/// </summary>
/// <remarks>
/// Mirrors <see cref="FoundryVersionedAgentCreateTests.CreateAgent_CreatesAgentWithVectorStoresAsync(string)"/>
/// in shape (file upload → vector store creation → FileSearchTool answer → cleanup), but routes
/// every helper call through the new <see cref="FoundryAgent"/> extensions instead of the raw
/// <c>projectOpenAIClient.GetProjectFilesClient()</c> / <c>GetProjectVectorStoresClient()</c>
/// path. Skipped by default for the same reasons as the existing vector-store IT (cost and
/// runtime); flip Skip to run manually after seeding the right Foundry project.
/// </remarks>
public class FoundryAgentExtensionsTests
{
private readonly AIProjectClient _client = new(
new Uri(TestConfiguration.GetRequiredValue(TestSettings.AzureAIProjectEndpoint)),
TestAzureCliCredentials.CreateAzureCliCredential());
[Fact(Skip = "For manual testing only")]
public async Task UploadFileAsync_ViaAgentExtension_UploadsToProjectAsync()
{
// Arrange — non-versioned Responses Agent (Mode 1) so we do not have to provision a server-side agent.
var agent = this._client.AsAIAgent(
model: TestConfiguration.GetRequiredValue(TestSettings.AzureAIModelDeploymentName),
instructions: "Be helpful.");
var foundryAgent = this.WrapAsFoundryAgent(agent);
var filePath = Path.GetTempFileName() + ".txt";
File.WriteAllText(filePath, "agent-extensions integration test payload");
OpenAIFile? uploaded = null;
try
{
// Act.
uploaded = await foundryAgent.UploadFileAsync(filePath, FileUploadPurpose.Assistants);
// Assert.
Assert.NotNull(uploaded);
Assert.False(string.IsNullOrEmpty(uploaded.Id));
Assert.Equal(Path.GetFileName(filePath), uploaded.Filename);
}
finally
{
if (uploaded is not null)
{
await foundryAgent.DeleteFileAsync(uploaded.Id);
}
File.Delete(filePath);
}
}
[Fact(Skip = "For manual testing only")]
public async Task DeleteFileAsync_ViaAgentExtension_RemovesUploadedFileAsync()
{
var agent = this._client.AsAIAgent(
model: TestConfiguration.GetRequiredValue(TestSettings.AzureAIModelDeploymentName),
instructions: "Be helpful.");
var foundryAgent = this.WrapAsFoundryAgent(agent);
var filePath = Path.GetTempFileName() + ".txt";
File.WriteAllText(filePath, "delete-me payload");
try
{
var uploaded = await foundryAgent.UploadFileAsync(filePath, FileUploadPurpose.Assistants);
// Act.
var result = await foundryAgent.DeleteFileAsync(uploaded.Id);
// Assert.
Assert.NotNull(result);
Assert.Equal(uploaded.Id, result.FileId);
Assert.True(result.Deleted);
}
finally
{
File.Delete(filePath);
}
}
[Fact(Skip = "For manual testing only")]
public async Task CreateVectorStoreAsync_ViaAgentExtension_BuildsStoreAndAnswersFileSearchQuestionAsync()
{
// Mirrors CreateAgent_CreatesAgentWithVectorStoresAsync but the upload-then-create-store
// sequence routes through the FoundryAgent.CreateVectorStoreAsync extension (single call
// that uploads, creates the store, and polls until ready). The resulting vector store id
// is then wired to a versioned agent's FileSearch tool and queried for a known value.
string AgentName = FoundryVersionedAgentFixture.GenerateUniqueAgentName("VectorStoreExtAgent");
const string AgentInstructions = """
You are a helpful agent that can help fetch data from files you know about.
Use the File Search Tool to look up codes for words.
Do not answer a question unless you can find the answer using the File Search Tool.
""";
// Non-versioned helper agent that owns the upload pipeline.
var helperAgent = this._client.AsAIAgent(
model: TestConfiguration.GetRequiredValue(TestSettings.AzureAIModelDeploymentName),
instructions: "Be helpful.");
var helperFoundryAgent = this.WrapAsFoundryAgent(helperAgent);
var searchFilePath = Path.GetTempFileName() + "wordcodelookup.txt";
File.WriteAllText(searchFilePath, "The word 'apple' uses the code 442345, while the word 'banana' uses the code 673457.");
VectorStore? vectorStore = null;
FoundryAgent? versionedAgent = null;
try
{
// Act — single agent-level helper call uploads, creates, and waits until ready.
vectorStore = await helperFoundryAgent.CreateVectorStoreAsync(
"WordCodeLookup_ExtensionVectorStore",
new[] { searchFilePath });
Assert.NotNull(vectorStore);
Assert.False(string.IsNullOrEmpty(vectorStore.Id));
Assert.NotEqual(VectorStoreStatus.InProgress, vectorStore.Status);
// Wire the store id into a versioned agent's FileSearch tool to prove it is actually usable.
var definition = new DeclarativeAgentDefinition(TestConfiguration.GetRequiredValue(TestSettings.AzureAIModelDeploymentName))
{
Instructions = AgentInstructions,
Tools = { ResponseTool.CreateFileSearchTool(vectorStoreIds: [vectorStore.Id]) },
};
var agentVersion = await this._client.AgentAdministrationClient.CreateAgentVersionAsync(
AgentName,
new ProjectsAgentVersionCreationOptions(definition));
versionedAgent = this._client.AsAIAgent(agentVersion);
// Assert.
var result = await versionedAgent.RunAsync("Can you give me the documented code for 'banana'?");
Assert.Contains("673457", result.ToString());
}
finally
{
if (versionedAgent is not null)
{
await this._client.AgentAdministrationClient.DeleteAgentAsync(versionedAgent.Name);
}
// Cleanup the vector store via the new extension too.
if (vectorStore is not null)
{
await helperFoundryAgent.DeleteVectorStoreAsync(vectorStore.Id);
}
File.Delete(searchFilePath);
}
}
[Fact(Skip = "For manual testing only")]
public async Task DeleteVectorStoreAsync_ViaAgentExtension_RemovesStoreAsync()
{
var agent = this._client.AsAIAgent(
model: TestConfiguration.GetRequiredValue(TestSettings.AzureAIModelDeploymentName),
instructions: "Be helpful.");
var foundryAgent = this.WrapAsFoundryAgent(agent);
var filePath = Path.GetTempFileName() + ".txt";
File.WriteAllText(filePath, "delete-store payload");
VectorStore? vectorStore = null;
try
{
vectorStore = await foundryAgent.CreateVectorStoreAsync(
"DeleteVectorStore_ExtensionTest",
new[] { filePath });
// Act.
var result = await foundryAgent.DeleteVectorStoreAsync(vectorStore.Id);
// Assert.
Assert.NotNull(result);
Assert.Equal(vectorStore.Id, result.VectorStoreId);
Assert.True(result.Deleted);
vectorStore = null;
}
finally
{
if (vectorStore is not null)
{
await foundryAgent.DeleteVectorStoreAsync(vectorStore.Id);
}
File.Delete(filePath);
}
}
/// <summary>
/// Resolves the underlying <see cref="FoundryAgent"/> from an <see cref="AIAgent"/> handle
/// returned by <c>AIProjectClient.AsAIAgent(model, instructions)</c>. The Mode 1 overload
/// returns a <see cref="ChatClientAgent"/>; the extension forwarders we test live on
/// <see cref="FoundryAgent"/>, so callers wanting them through this entry point need to
/// reach for the FoundryAgent constructor instead. This helper makes the test setup
/// consistent across the four IT scenarios.
/// </summary>
private FoundryAgent WrapAsFoundryAgent(AIAgent agent)
{
// The Mode 1 AsAIAgent overload returns ChatClientAgent rather than FoundryAgent; use
// the FoundryAgent projectEndpoint+model+instructions ctor to get the same underlying
// FoundryChatClient surfaced through a FoundryAgent typed handle.
_ = agent;
return new FoundryAgent(
projectEndpoint: new Uri(TestConfiguration.GetRequiredValue(TestSettings.AzureAIProjectEndpoint)),
credential: TestAzureCliCredentials.CreateAzureCliCredential(),
model: TestConfiguration.GetRequiredValue(TestSettings.AzureAIModelDeploymentName),
instructions: "Be helpful.");
}
}
@@ -11,7 +11,7 @@ namespace Foundry.IntegrationTests;
public class FoundryVersionedAgentStructuredOutputRunTests() : StructuredOutputRunTests<FoundryVersionedAgentStructuredOutputFixture<CityInfo>>(() => new FoundryVersionedAgentStructuredOutputFixture<CityInfo>())
{
private const string NotSupported = "Versioned Foundry agents do not support specifying structured output type at invocation time.";
private const string ResponseFormatNotSupported = "FoundryChatClient clears ResponseFormat for versioned agents; structured output must be defined in the server-side agent definition.";
private const string ResponseFormatNotSupported = "AzureAIProjectChatClient clears ResponseFormat for versioned agents; structured output must be defined in the server-side agent definition.";
/// <summary>
/// Verifies that response format provided at agent initialization is used when invoking RunAsync.
@@ -41,7 +41,7 @@ public class FoundryVersionedAgentStructuredOutputRunTests() : StructuredOutputR
/// </summary>
/// <remarks>
/// Versioned Foundry agents do not support specifying the structured output type at invocation time yet.
/// The type T provided to RunAsync&lt;T&gt; is ignored by FoundryChatClient and is only used
/// The type T provided to RunAsync&lt;T&gt; is ignored by AzureAIProjectChatClient and is only used
/// for deserializing the agent response by AgentResponse&lt;T&gt;.Result.
/// </remarks>
[RetryFact(Constants.RetryCount, Constants.RetryDelay, Skip = ResponseFormatNotSupported)]
@@ -1,85 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Text.RegularExpressions;
using System.Threading.Tasks;
using AgentConformance.IntegrationTests.Support;
using Azure.AI.Projects;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using Shared.IntegrationTests;
namespace Foundry.IntegrationTests;
/// <summary>
/// Integration tests validating that the <c>x-ms-served-model</c> response header
/// returned by the Azure OpenAI Responses API is surfaced on <see cref="ChatResponse.ModelId"/>.
/// </summary>
public class ResponsesAgentServedModelTests
{
// Matches a dated served-model snapshot, e.g. "gpt-5-nano-2025-08-07".
private static readonly Regex s_snapshotRegex = new(@"-\d{4}-\d{2}-\d{2}$", RegexOptions.Compiled);
private static Uri Endpoint => new(TestConfiguration.GetRequiredValue(TestSettings.AzureAIProjectEndpoint));
private static string DeploymentName => TestConfiguration.GetRequiredValue(TestSettings.AzureAIModelDeploymentName);
private readonly AIProjectClient _client = new(Endpoint, TestAzureCliCredentials.CreateAzureCliCredential());
[Fact]
public async Task GetResponseAsync_ReturnsServedModelSnapshotOnModelIdAsync()
{
// Arrange
ChatClientAgent agent = this._client.AsAIAgent(
model: DeploymentName,
instructions: "You are a helpful assistant. Reply with a single short word.",
name: "ServedModelTest");
IChatClient chatClient = agent.ChatClient;
// Act
ChatResponse response = await chatClient.GetResponseAsync(
[new ChatMessage(ChatRole.User, "Say hi.")],
new ChatOptions { ModelId = DeploymentName });
// Assert
AssertServedModel(response.ModelId);
}
[Fact]
public async Task RunAsync_AgentResponseRawRepresentationCarriesServedModelAsync()
{
// Arrange
ChatClientAgent agent = this._client.AsAIAgent(
model: DeploymentName,
instructions: "You are a helpful assistant. Reply with a single short word.",
name: "ServedModelTestRun");
// Act
AgentResponse agentResponse = await agent.RunAsync("Say hi.");
// Assert
ChatResponse? chatResponse = agentResponse.RawRepresentation as ChatResponse;
Assert.NotNull(chatResponse);
AssertServedModel(chatResponse!.ModelId);
}
private static void AssertServedModel(string? modelId)
{
Assert.False(string.IsNullOrWhiteSpace(modelId), "ChatResponse.ModelId must be populated.");
// Primary invariant: the served-model value must look like a dated snapshot
// (e.g. "gpt-5-nano-2025-08-07"). This is what the x-ms-served-model header carries.
// Only when the configured deployment name itself already matches the snapshot pattern
// do we fall back to permitting equality with the deployment alias.
bool aliasIsSnapshot = s_snapshotRegex.IsMatch(DeploymentName);
if (aliasIsSnapshot)
{
return;
}
Assert.Matches(s_snapshotRegex, modelId!);
Assert.NotEqual(DeploymentName, modelId);
}
}
@@ -83,72 +83,6 @@ public sealed class A2AAgentTests : IDisposable
Assert.Null(agent.Description);
}
[Fact]
public void Constructor_WithOptions_InitializesPropertiesCorrectly()
{
// Arrange
var options = new A2AAgentOptions
{
Id = "options-id",
Name = "options-name",
Description = "options-description"
};
// Act
var agent = new A2AAgent(this._a2aClient, options);
// Assert
Assert.Equal("options-id", agent.Id);
Assert.Equal("options-name", agent.Name);
Assert.Equal("options-description", agent.Description);
}
[Fact]
public void Constructor_WithOptions_IsolatesAgentFromOptionsMutation()
{
// Arrange
var options = new A2AAgentOptions
{
Id = "original-id",
Name = "Original Name",
Description = "Original Description"
};
var agent = new A2AAgent(this._a2aClient, options);
// Act - mutate options after agent construction
options.Id = "mutated-id";
options.Name = "Mutated Name";
options.Description = "Mutated Description";
// Assert - agent should retain original values
Assert.Equal("original-id", agent.Id);
Assert.Equal("Original Name", agent.Name);
Assert.Equal("Original Description", agent.Description);
}
[Fact]
public void Constructor_WithNullOptions_ThrowsArgumentNullException() =>
// Act & Assert
Assert.Throws<ArgumentNullException>(() => new A2AAgent(this._a2aClient, options: null!));
[Fact]
public void Constructor_WithEmptyOptions_UsesBaseProperties()
{
// Act
var agent = new A2AAgent(this._a2aClient, new A2AAgentOptions());
// Assert
Assert.NotNull(agent.Id);
Assert.NotEmpty(agent.Id);
Assert.Null(agent.Name);
Assert.Null(agent.Description);
}
[Fact]
public void Constructor_WithOptions_NullA2AClient_ThrowsArgumentNullException() =>
// Act & Assert
Assert.Throws<ArgumentNullException>(() => new A2AAgent(null!, new A2AAgentOptions()));
[Fact]
public async Task RunAsync_AllowsNonUserRoleMessagesAsync()
{

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