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Author SHA1 Message Date
Jacob Alber 931204f6dd WIP: Proposal for StreamingRunWatcher API 2025-11-06 15:01:16 -05:00
1524 changed files with 20709 additions and 116238 deletions
+2 -3
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@@ -1,11 +1,10 @@
{
"name": "C# (.NET)",
"image": "mcr.microsoft.com/devcontainers/dotnet:10.0",
"image": "mcr.microsoft.com/devcontainers/dotnet:9.0",
"features": {
"ghcr.io/devcontainers/features/dotnet:2.4.0": {},
"ghcr.io/devcontainers/features/powershell:1.5.1": {},
"ghcr.io/devcontainers/features/azure-cli:1.2.8": {},
"ghcr.io/devcontainers/features/docker-in-docker:2.12.4": {}
"ghcr.io/devcontainers/features/azure-cli:1.2.8": {}
},
"workspaceFolder": "/workspaces/agent-framework/dotnet/",
"customizations": {
-4
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@@ -1,4 +0,0 @@
# Code ownership assignments
# https://docs.github.com/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
python/packages/azurefunctions/ @microsoft/agentframework-durabletask-developers
@@ -1,36 +0,0 @@
name: Azure Functions Integration Test Setup
description: Prepare local emulators and tools for Azure Functions integration tests
runs:
using: "composite"
steps:
- name: Start Durable Task Scheduler Emulator
shell: bash
run: |
if [ "$(docker ps -aq -f name=dts-emulator)" ]; then
echo "Stopping and removing existing Durable Task Scheduler Emulator"
docker rm -f dts-emulator
fi
echo "Starting Durable Task Scheduler Emulator"
docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest
echo "Waiting for Durable Task Scheduler Emulator to be ready"
timeout 30 bash -c 'until curl --silent http://localhost:8080/healthz; do sleep 1; done'
echo "Durable Task Scheduler Emulator is ready"
- name: Start Azurite (Azure Storage emulator)
shell: bash
run: |
if [ "$(docker ps -aq -f name=azurite)" ]; then
echo "Stopping and removing existing Azurite (Azure Storage emulator)"
docker rm -f azurite
fi
echo "Starting Azurite (Azure Storage emulator)"
docker run -d --name azurite -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite
echo "Waiting for Azurite (Azure Storage emulator) to be ready"
timeout 30 bash -c 'until curl --silent http://localhost:10000/devstoreaccount1; do sleep 1; done'
echo "Azurite (Azure Storage emulator) is ready"
- name: Install Azure Functions Core Tools
shell: bash
run: |
echo "Installing Azure Functions Core Tools"
npm install -g azure-functions-core-tools@4 --unsafe-perm true
func --version
+3 -8
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@@ -11,6 +11,9 @@ updates:
schedule:
interval: "cron"
cronjob: "0 8 * * 4,0" # Every Thursday(4) and Sunday(0) at 8:00 UTC
experimental:
nuget-native-updater: false
enable-cooldown-metrics-collection: false
ignore:
# For all System.* and Microsoft.Extensions/Bcl.* packages, ignore all major version updates
- dependency-name: "System.*"
@@ -25,14 +28,6 @@ updates:
- "dependencies"
# Maintain dependencies for python
- package-ecosystem: "pip"
directory: "python/"
schedule:
interval: "weekly"
day: "monday"
labels:
- "python"
- "dependencies"
- package-ecosystem: "uv"
directory: "python/"
schedule:
@@ -1636,4 +1636,4 @@ The property mapping guide from a `AutoFunctionInvocationContext` to a `Function
| Result | Use `return` from the delegate |
| Terminate | Terminate |
| CancellationToken | provided via argument to middleware delegate |
| Arguments | Arguments |
| Arguments | Arguments |
+18 -54
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@@ -8,17 +8,16 @@ name: dotnet-build-and-test
on:
workflow_dispatch:
pull_request:
branches: ["main", "feature*"]
branches: ["main"]
merge_group:
branches: ["main", "feature*"]
branches: ["main"]
push:
branches: ["main", "feature*"]
branches: ["main"]
schedule:
- cron: "0 0 * * *" # Run at midnight UTC daily
env:
COVERAGE_THRESHOLD: 80
COVERAGE_FRAMEWORK: net10.0 # framework target for which we run/report code coverage
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
@@ -60,9 +59,9 @@ jobs:
fail-fast: false
matrix:
include:
- { targetFramework: "net10.0", os: "ubuntu-latest", configuration: Release, integration-tests: true, environment: "integration" }
- { targetFramework: "net9.0", os: "windows-latest", configuration: Debug }
- { targetFramework: "net8.0", os: "ubuntu-latest", configuration: Release }
- { targetFramework: "net9.0", os: "ubuntu-latest", configuration: Release, integration-tests: true, environment: "integration" }
- { targetFramework: "net9.0", os: "ubuntu-latest", configuration: Debug }
- { targetFramework: "net9.0", os: "windows-latest", configuration: Release }
- { targetFramework: "net472", os: "windows-latest", configuration: Release, integration-tests: true, environment: "integration" }
runs-on: ${{ matrix.os }}
@@ -70,16 +69,16 @@ jobs:
steps:
- uses: actions/checkout@v5
with:
persist-credentials: false
sparse-checkout: |
.
.github
dotnet
python
workflow-samples
persist-credentials: false
sparse-checkout: |
.
.github
dotnet
python
workflow-samples
- name: Setup dotnet
uses: actions/setup-dotnet@v5.0.1
uses: actions/setup-dotnet@v5.0.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
- name: Build dotnet solutions
@@ -124,17 +123,7 @@ jobs:
popd
rm -rf "$TEMP_DIR"
# Start Cosmos DB Emulator for Cosmos-based unit tests (only on Windows)
- name: Start Azure Cosmos DB Emulator
if: runner.os == 'Windows'
shell: pwsh
run: |
Write-Host "Launching Azure Cosmos DB Emulator"
Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
- name: Run Unit Tests
- name: Run Unit Tests Windows
shell: bash
run: |
export UT_PROJECTS=$(find ./dotnet -type f -name "*.UnitTests.csproj" | tr '\n' ' ')
@@ -144,20 +133,12 @@ jobs:
# Check if the project supports the target framework
if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
if [[ "${{ matrix.targetFramework }}" == "${{ env.COVERAGE_FRAMEWORK }}" ]]; then
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --collect:"XPlat Code Coverage" --results-directory:"TestResults/Coverage/" -- DataCollectionRunSettings.DataCollectors.DataCollector.Configuration.ExcludeByAttribute=GeneratedCodeAttribute,CompilerGeneratedAttribute,ExcludeFromCodeCoverageAttribute
else
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx
fi
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --collect:"XPlat Code Coverage" --results-directory:"TestResults/Coverage/" -- DataCollectionRunSettings.DataCollectors.DataCollector.Configuration.ExcludeByAttribute=GeneratedCodeAttribute,CompilerGeneratedAttribute,ExcludeFromCodeCoverageAttribute
else
echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
fi
done
env:
# Cosmos DB Emulator connection settings
COSMOSDB_ENDPOINT: https://localhost:8081
COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
- name: Log event name and matrix integration-tests
shell: bash
run: echo "github.event_name:${{ github.event_name }} matrix.integration-tests:${{ matrix.integration-tests }} github.event.action:${{ github.event.action }} github.event.pull_request.merged:${{ github.event.pull_request.merged }}"
@@ -170,14 +151,6 @@ jobs:
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
# This setup action is required for both Durable Task and Azure Functions integration tests.
# We only run it on Ubuntu since the Durable Task and Azure Functions features are not available
# on .NET Framework (net472) which is what we use the Windows runner for.
- name: Set up Durable Task and Azure Functions Integration Test Emulators
if: github.event_name != 'pull_request' && matrix.integration-tests && matrix.os == 'ubuntu-latest'
uses: ./.github/actions/azure-functions-integration-setup
id: azure-functions-setup
- name: Run Integration Tests
shell: bash
if: github.event_name != 'pull_request' && matrix.integration-tests
@@ -195,16 +168,10 @@ jobs:
fi
done
env:
# Cosmos DB Emulator connection settings
COSMOSDB_ENDPOINT: https://localhost:8081
COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
# OpenAI Models
OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}
# Azure OpenAI Models
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
# Azure AI Foundry
AzureAI__Endpoint: ${{ secrets.AZUREAI__ENDPOINT }}
AzureAI__DeploymentName: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
@@ -216,22 +183,19 @@ jobs:
# Generate test reports and check coverage
- name: Generate test reports
if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
uses: danielpalme/ReportGenerator-GitHub-Action@5.5.0
uses: danielpalme/ReportGenerator-GitHub-Action@5.4.18
with:
reports: "./TestResults/Coverage/**/coverage.cobertura.xml"
targetdir: "./TestResults/Reports"
reporttypes: "HtmlInline;JsonSummary"
- name: Upload coverage report artifact
if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
uses: actions/upload-artifact@v5
with:
name: CoverageReport-${{ matrix.os }}-${{ matrix.targetFramework }}-${{ matrix.configuration }} # Artifact name
path: ./TestResults/Reports # Directory containing files to upload
- name: Check coverage
if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
shell: pwsh
run: .github/workflows/dotnet-check-coverage.ps1 -JsonReportPath "TestResults/Reports/Summary.json" -CoverageThreshold $env:COVERAGE_THRESHOLD
+1 -1
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@@ -22,7 +22,7 @@ jobs:
fail-fast: false
matrix:
include:
- { dotnet: "10.0", configuration: Release, os: ubuntu-latest }
- { dotnet: "9.0", configuration: Release, os: ubuntu-latest }
runs-on: ${{ matrix.os }}
env:
+1 -5
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@@ -28,8 +28,6 @@ jobs:
UV_PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@v5
with:
fetch-depth: 0
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -48,6 +46,4 @@ jobs:
with:
extra_args: --config python/.pre-commit-config.yaml --all-files
- name: Run Mypy
env:
GITHUB_BASE_REF: ${{ github.event.pull_request.base.ref || github.base_ref || 'main' }}
run: uv run poe ci-mypy
run: uv run poe mypy
-8
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@@ -66,11 +66,6 @@ jobs:
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
# For Azure Functions integration tests
FUNCTIONS_WORKER_RUNTIME: "python"
DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
AzureWebJobsStorage: "UseDevelopmentStorage=true"
defaults:
run:
working-directory: python
@@ -92,9 +87,6 @@ jobs:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Set up Azure Functions Integration Test Emulators
uses: ./.github/actions/azure-functions-integration-setup
id: azure-functions-setup
- name: Test with pytest
timeout-minutes: 10
run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10
@@ -39,7 +39,7 @@ jobs:
echo "PR_NUMBER=$PR_NUMBER" >> $GITHUB_ENV
- name: Pytest coverage comment
id: coverageComment
uses: MishaKav/pytest-coverage-comment@v1.1.59
uses: MishaKav/pytest-coverage-comment@v1.1.57
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
issue-number: ${{ env.PR_NUMBER }}
+1 -15
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@@ -204,20 +204,6 @@ agents.md
# AI
.claude/
WARP.md
**/memory-bank/
**/projectBrief.md
# Azurite storage emulator files
*/__azurite_db_blob__.json
*/__azurite_db_blob_extent__.json
*/__azurite_db_queue__.json
*/__azurite_db_queue_extent__.json
*/__azurite_db_table__.json
*/__blobstorage__/
*/__queuestorage__/
# Azure Functions local settings
local.settings.json
# Frontend
**/frontend/node_modules/
@@ -225,4 +211,4 @@ local.settings.json
**/frontend/dist/
# Database files
*.db
*.db
-2
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@@ -48,8 +48,6 @@ dotnet add package Microsoft.Agents.AI
- **[Migration from Semantic Kernel](https://learn.microsoft.com/en-us/agent-framework/migration-guide/from-semantic-kernel)** - Guide to migrate from Semantic Kernel
- **[Migration from AutoGen](https://learn.microsoft.com/en-us/agent-framework/migration-guide/from-autogen)** - Guide to migrate from AutoGen
Still have questions? Join our [weekly office hours](./COMMUNITY.md#public-community-office-hours) or ask questions in our [Discord channel](https://discord.gg/b5zjErwbQM) to get help from the team and other users.
### ✨ **Highlights**
- **Graph-based Workflows**: Connect agents and deterministic functions using data flows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities
+2 -2
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@@ -42,9 +42,9 @@ Microsoft Agent Framework relies on existing LLMs. Using the framework retains c
**Framework-Specific Limitations**:
- **Platform Requirements**: Python 3.10+ required, specific .NET versions (.NET 8.0, 9.0, 10.0, netstandard2.0, net472)
- **Platform Requirements**: Python 3.10+ required, specific .NET versions (.NET 8.0, 9.0, netstandard2.0, net472)
- **API Dependencies**: Requires proper configuration of LLM provider keys and endpoints
- **Orchestration Features**: Advanced orchestration patterns including GroupChat, Sequential, and Concurrent workflows are now available in both Python and .NET implementations. See the respective language documentation for examples.
- **Orchestration Features**: Advanced orchestration patterns like GroupChat, Sequential, and Concurrent orchestrations are "coming soon" for Python implementation
- **Privacy and Data Protection**: The framework allows for human participation in conversations between agents. It is important to ensure that user data and conversations are protected and that developers use appropriate measures to safeguard privacy.
- **Accountability and Transparency**: The framework involves multiple agents conversing and collaborating, it is important to establish clear accountability and transparency mechanisms. Users should be able to understand and trace the decision-making process of the agents involved in order to ensure accountability and address any potential issues or biases.
- **Security & unintended consequences**: The use of multi-agent conversations and automation in complex tasks may have unintended consequences. Especially, allowing agents to make changes in external environments through tool calls or function execution could pose significant risks. Developers should carefully consider the potential risks and ensure that appropriate safeguards are in place to prevent harm or negative outcomes, including keeping a human in the loop for decision making.
-3
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@@ -1,3 +0,0 @@
# Declarative Agents
This folder contains sample agent definitions than be ran using the declarative agent support, for python see the [declarative agent python sample folder](../python/samples/getting_started/declarative/).
-25
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@@ -1,25 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions is the language specified by the user. You return your answers in a JSON format. You must include Chat as the type in your response.
model:
id: =Env.AZURE_OPENAI_DEPLOYMENT_NAME
provider: AzureOpenAI
apiType: Chat
options:
temperature: 0.9
topP: 0.95
outputSchema:
properties:
language:
kind: string
required: true
description: The language of the answer.
answer:
kind: string
required: true
description: The answer text.
type:
kind: string
required: true
description: The type of the response.
@@ -1,25 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions in the language specified by the user. You return your answers in a JSON format. You must include Assistants as the type in your response.
model:
id: gpt-4o-mini
provider: AzureOpenAI
apiType: Assistants
options:
temperature: 0.9
topP: 0.95
outputSchema:
properties:
language:
type: string
required: true
description: The language of the answer.
answer:
type: string
required: true
description: The answer text.
type:
type: string
required: true
description: The type of the response.
-25
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@@ -1,25 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions in the language specified by the user. You return your answers in a JSON format. You must include Chat as the type in your response.
model:
id: gpt-4o-mini
provider: AzureOpenAI
apiType: Chat
options:
temperature: 0.9
topP: 0.95
outputSchema:
properties:
language:
type: string
required: true
description: The language of the answer.
answer:
type: string
required: true
description: The answer text.
type:
type: string
required: true
description: The type of the response.
@@ -1,25 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions in the language specified by the user. You return your answers in a JSON format. You must include Responses as the type in your response.
model:
id: gpt-4o-mini
provider: AzureOpenAI
apiType: Responses
options:
temperature: 0.9
topP: 0.95
outputSchema:
properties:
language:
type: string
required: true
description: The language of the answer.
answer:
type: string
required: true
description: The answer text.
type:
type: string
required: true
description: The type of the response.
-18
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@@ -1,18 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions in the language specified by the user. You return your answers in a JSON format.
model:
options:
temperature: 0.9
topP: 0.95
outputSchema:
properties:
language:
type: string
required: true
description: The language of the answer.
answer:
type: string
required: true
description: The answer text.
-29
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@@ -1,29 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions using the tools provided.
model:
options:
temperature: 0.9
topP: 0.95
allowMultipleToolCalls: true
chatToolMode: auto
tools:
- kind: function
name: GetWeather
description: Get the weather for a given location.
bindings:
get_weather: get_weather
parameters:
properties:
location:
kind: string
description: The city and state, e.g. San Francisco, CA
required: true
unit:
kind: string
description: The unit of temperature. Possible values are 'celsius' and 'fahrenheit'.
required: false
enum:
- celsius
- fahrenheit
-22
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@@ -1,22 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions in the language specified by the user. You return your answers in a JSON format.
model:
id: gpt-4.1-mini
options:
temperature: 0.9
topP: 0.95
connection:
kind: Remote
endpoint: =Env.AZURE_FOUNDRY_PROJECT_ENDPOINT
outputSchema:
properties:
language:
type: string
required: true
description: The language of the answer.
answer:
type: string
required: true
description: The answer text.
@@ -1,21 +0,0 @@
kind: Prompt
name: MicrosoftLearnAgent
description: Microsoft Learn Agent
instructions: You answer questions by searching the Microsoft Learn content only.
model:
id: =Env.AZURE_FOUNDRY_PROJECT_MODEL_ID
options:
temperature: 0.9
topP: 0.95
connection:
kind: remote
endpoint: =Env.AZURE_FOUNDRY_PROJECT_ENDPOINT
tools:
- kind: mcp
name: microsoft_learn
description: Get information from Microsoft Learn.
url: https://learn.microsoft.com/api/mcp
approvalMode:
kind: never
allowedTools:
- microsoft_docs_search
@@ -1,22 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions is the language specified by the user. You return your answers in a JSON format.
model:
id: =Env.AZURE_FOUNDRY_PROJECT_MODEL_ID
options:
temperature: 0.9
topP: 0.95
connection:
kind: remote
endpoint: =Env.AZURE_FOUNDRY_PROJECT_ENDPOINT
outputSchema:
properties:
language:
kind: string
required: true
description: The language of the answer.
answer:
kind: string
required: true
description: The answer text.
-28
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@@ -1,28 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions is the language specified by the user. You return your answers in a JSON format. You must include Chat as the type in your response.
model:
id: =Env.OPENAI_MODEL
provider: OpenAI
apiType: Chat
options:
temperature: 0.9
topP: 0.95
connection:
kind: key
key: =Env.OPENAI_API_KEY
outputSchema:
properties:
language:
kind: string
required: true
description: The language of the answer.
answer:
kind: string
required: true
description: The answer text.
type:
kind: string
required: true
description: The type of the response.
@@ -1,28 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions in the language specified by the user. You return your answers in a JSON format. You must include Assistants as the type in your response.
model:
id: gpt-4.1-mini
provider: OpenAI
apiType: Assistants
options:
temperature: 0.9
topP: 0.95
connection:
kind: ApiKey
key: =Env.OPENAI_APIKEY
outputSchema:
properties:
language:
type: string
required: true
description: The language of the answer.
answer:
type: string
required: true
description: The answer text.
type:
type: string
required: true
description: The type of the response.
-28
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@@ -1,28 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions in the language specified by the user. You return your answers in a JSON format. You must include Chat as the type in your response.
model:
id: gpt-4.1-mini
provider: OpenAI
apiType: Chat
options:
temperature: 0.9
topP: 0.95
connection:
kind: ApiKey
key: =Env.OPENAI_APIKEY
outputSchema:
properties:
language:
type: string
required: true
description: The language of the answer.
answer:
type: string
required: true
description: The answer text.
type:
type: string
required: true
description: The type of the response.
-28
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@@ -1,28 +0,0 @@
kind: Prompt
name: Assistant
description: Helpful assistant
instructions: You are a helpful assistant. You answer questions in the language specified by the user. You return your answers in a JSON format. You must include Responses as the type in your response.
model:
id: gpt-4.1-mini
provider: OpenAI
apiType: Responses
options:
temperature: 0.9
topP: 0.95
connection:
kind: ApiKey
key: =Env.OPENAI_APIKEY
outputSchema:
properties:
language:
type: string
required: true
description: The language of the answer.
answer:
type: string
required: true
description: The answer text.
type:
type: string
required: true
description: The type of the response.
+6 -6
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@@ -23,23 +23,23 @@ To download nightly builds follow the following steps:
<configuration>
<packageSources>
<add key="nuget.org" value="https://api.nuget.org/v3/index.json" protocolVersion="3" />
<add key="GitHubMicrosoft" value="https://nuget.pkg.github.com/microsoft/index.json" />
<add key="github" value="https://nuget.pkg.github.com/microsoft/index.json" />
</packageSources>
<packageSourceMapping>
<packageSource key="nuget.org">
<package pattern="*" />
</packageSource>
<packageSource key="GitHubMicrosoft">
<packageSource key="github">
<package pattern="*nightly"/>
</packageSource>
</packageSourceMapping>
<packageSourceCredentials>
<GitHubMicrosoft>
<add key="Username" value="<Your GitHub Id>" />
<add key="ClearTextPassword" value="<Your Personal Access Token>" />
</GitHubMicrosoft>
<github>
<add key="Username" value="<Your GitHub Id>" />
<add key="ClearTextPassword" value="<Your Personal Access Token>" />
</github>
</packageSourceCredentials>
</configuration>
```
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+6 -4
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@@ -6,12 +6,14 @@
<AnalysisMode>AllEnabledByDefault</AnalysisMode>
<AnalysisLevel>latest</AnalysisLevel>
<GenerateDocumentationFile>true</GenerateDocumentationFile>
<LangVersion>latest</LangVersion>
<LangVersion>13</LangVersion>
<Nullable>enable</Nullable>
<NoWarn>$(NoWarn);NU5128;CS8002</NoWarn>
<NoWarn>$(NoWarn);NU5128</NoWarn>
<TreatWarningsAsErrors>true</TreatWarningsAsErrors>
<TargetFrameworksCore>net10.0;net9.0;net8.0</TargetFrameworksCore>
<TargetFrameworks>$(TargetFrameworksCore);netstandard2.0;net472</TargetFrameworks>
<ProjectsCoreTargetFrameworks>net9.0;net8.0</ProjectsCoreTargetFrameworks>
<ProjectsDebugCoreTargetFrameworks>net9.0</ProjectsDebugCoreTargetFrameworks>
<ProjectsTargetFrameworks>net9.0;net8.0;netstandard2.0;net472</ProjectsTargetFrameworks>
<ProjectsDebugTargetFrameworks>net9.0;net472</ProjectsDebugTargetFrameworks>
<IsAotCompatible Condition="$([MSBuild]::IsTargetFrameworkCompatible('$(TargetFramework)', 'net7.0'))">true</IsAotCompatible>
<Configurations>Debug;Release;Publish</Configurations>
</PropertyGroup>
+1 -1
View File
@@ -5,7 +5,7 @@
<Sdk Name="Microsoft.Build.CentralPackageVersions" Version="2.1.3" />
<!-- Only run 'dotnet format' on dev machines, Release builds. Skip on GitHub Actions -->
<!-- as this runs in its own Actions job. -->
<Target Name="DotnetFormatOnBuild" BeforeTargets="Build" Condition=" '$(Configuration)' == 'Release' AND '$(GITHUB_ACTIONS)' == '' ">
<Target Name="DotnetFormatOnBuild" BeforeTargets="Build" Condition=" '$(Configuration)' == 'Release' AND '$(GITHUB_ACTIONS)' == '' AND '$(TargetFramework)' == '$(ProjectsDebugTargetFrameworks)'">
<Message Text="Running dotnet format" Importance="high" />
<Exec Command="dotnet format --no-restore -v diag $(ProjectFileName)" />
</Target>
+61 -89
View File
@@ -7,46 +7,34 @@
</PropertyGroup>
<PropertyGroup>
<!-- Aspire -->
<AspireAppHostSdkVersion>13.0.1</AspireAppHostSdkVersion>
<AspireAppHostSdkVersion>9.5.2</AspireAppHostSdkVersion>
</PropertyGroup>
<ItemGroup>
<!-- Aspire.* -->
<PackageVersion Include="Anthropic" Version="11.0.0" />
<PackageVersion Include="Anthropic.Foundry" Version="0.1.0" />
<PackageVersion Include="Aspire.Azure.AI.OpenAI" Version="13.0.0-preview.1.25560.3" />
<PackageVersion Include="Aspire.Azure.AI.OpenAI" Version="9.5.1-preview.1.25502.11" />
<PackageVersion Include="Aspire.Hosting.AppHost" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="Aspire.Hosting.Azure.CognitiveServices" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0-beta.440" />
<PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="9.8.0" />
<!-- Azure.* -->
<PackageVersion Include="Azure.AI.Projects" Version="1.2.0-beta.3" />
<PackageVersion Include="Azure.AI.Projects.OpenAI" Version="1.0.0-beta.4" />
<PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.8" />
<PackageVersion Include="Azure.AI.OpenAI" Version="2.7.0-beta.1" />
<PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.7" />
<PackageVersion Include="Azure.AI.OpenAI" Version="2.5.0-beta.1" />
<PackageVersion Include="Azure.Identity" Version="1.17.0" />
<PackageVersion Include="Azure.Monitor.OpenTelemetry.Exporter" Version="1.4.0" />
<!-- Google Gemini -->
<PackageVersion Include="Google.GenAI" Version="0.6.0" />
<PackageVersion Include="Mscc.GenerativeAI.Microsoft" Version="2.9.3" />
<!-- Microsoft.Azure.* -->
<PackageVersion Include="Microsoft.Azure.Cosmos" Version="3.54.0" />
<!-- Newtonsoft.Json -->
<PackageVersion Include="Newtonsoft.Json" Version="13.0.4" />
<!-- System.* -->
<PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.0" />
<PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="9.0.10" />
<PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
<PackageVersion Include="System.ClientModel" Version="1.8.1" />
<PackageVersion Include="System.CodeDom" Version="10.0.0" />
<PackageVersion Include="System.Collections.Immutable" Version="10.0.0" />
<PackageVersion Include="System.ClientModel" Version="1.7.0" />
<PackageVersion Include="System.CodeDom" Version="9.0.10" />
<PackageVersion Include="System.Collections.Immutable" Version="9.0.10" />
<PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
<PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.0" />
<PackageVersion Include="System.Linq.AsyncEnumerable" Version="10.0.0" />
<PackageVersion Include="System.Net.Http.Json" Version="10.0.0" />
<PackageVersion Include="System.Net.ServerSentEvents" Version="10.0.0" />
<PackageVersion Include="System.Text.Json" Version="10.0.0" />
<PackageVersion Include="System.Threading.Channels" Version="10.0.0" />
<PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="9.0.10" />
<PackageVersion Include="System.Linq.AsyncEnumerable" Version="10.0.0-rc.2.25502.107" />
<PackageVersion Include="System.Net.Http.Json" Version="9.0.10" />
<PackageVersion Include="System.Net.ServerSentEvents" Version="9.0.10" />
<PackageVersion Include="System.Text.Json" Version="9.0.10" />
<PackageVersion Include="System.Threading.Channels" Version="9.0.10" />
<PackageVersion Include="System.Threading.Tasks.Extensions" Version="4.6.3" />
<PackageVersion Include="System.Net.Security" Version="4.3.2" />
<!-- OpenTelemetry -->
<PackageVersion Include="OpenTelemetry" Version="1.13.1" />
<PackageVersion Include="OpenTelemetry.Api" Version="1.13.1" />
@@ -56,94 +44,78 @@
<PackageVersion Include="OpenTelemetry.Extensions.Hosting" Version="1.13.1" />
<PackageVersion Include="OpenTelemetry.Instrumentation.AspNetCore" Version="1.13.0" />
<PackageVersion Include="OpenTelemetry.Instrumentation.Http" Version="1.13.0" />
<PackageVersion Include="OpenTelemetry.Instrumentation.Runtime" Version="1.13.0" />
<PackageVersion Include="OpenTelemetry.Instrumentation.Runtime" Version="1.12.0" />
<!-- Microsoft.AspNetCore.* -->
<PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="10.0.0" />
<PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="10.0.0" />
<PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="9.0.10" />
<PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="9.0.4" />
<!-- Microsoft.Extensions.* -->
<PackageVersion Include="Microsoft.Extensions.AI" Version="10.0.1" />
<PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.0.1" />
<PackageVersion Include="Microsoft.Extensions.AI.AzureAIInference" Version="10.0.0-preview.1.25559.3" />
<PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.0.1-preview.1.25571.5" />
<PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Configuration" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Configuration.Binder" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Configuration.EnvironmentVariables" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Configuration.Json" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Configuration.UserSecrets" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.DependencyInjection" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Hosting" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Http.Resilience" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Logging" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.ServiceDiscovery" Version="10.0.0" />
<PackageVersion Include="Microsoft.Extensions.AI" Version="9.10.2" />
<PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="9.10.2" />
<PackageVersion Include="Microsoft.Extensions.AI.AzureAIInference" Version="9.10.0-preview.1.25513.3" />
<PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="9.10.2-preview.1.25552.1" />
<PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.Configuration" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.Configuration.Binder" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.Configuration.EnvironmentVariables" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.Configuration.Json" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.Configuration.UserSecrets" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.DependencyInjection" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.Hosting" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.Http.Resilience" Version="9.10.0" />
<PackageVersion Include="Microsoft.Extensions.Logging" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="9.0.10" />
<PackageVersion Include="Microsoft.Extensions.ServiceDiscovery" Version="$(AspireAppHostSdkVersion)" />
<PackageVersion Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.7.0" />
<!-- Vector Stores -->
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.67.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.67.0-preview" />
<!-- Semantic Kernel -->
<PackageVersion Include="Microsoft.SemanticKernel" Version="1.67.0" />
<PackageVersion Include="Microsoft.SemanticKernel.Agents.Core" Version="1.67.0" />
<PackageVersion Include="Microsoft.SemanticKernel.Agents.OpenAI" Version="1.67.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Agents.AzureAI" Version="1.67.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Plugins.OpenApi" Version="1.67.0" />
<PackageVersion Include="Microsoft.SemanticKernel" Version="1.66.0" />
<PackageVersion Include="Microsoft.SemanticKernel.Agents.Core" Version="1.66.0" />
<PackageVersion Include="Microsoft.SemanticKernel.Agents.OpenAI" Version="1.66.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Agents.AzureAI" Version="1.66.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Plugins.OpenApi" Version="1.66.0" />
<!-- Vector Stores -->
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.66.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.66.0-preview" />
<!-- Agent SDKs -->
<PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.3.171-beta" />
<!-- M365 Agents SDK -->
<PackageVersion Include="AdaptiveCards" Version="3.1.0" />
<PackageVersion Include="Microsoft.Agents.Authentication.Msal" Version="1.3.171-beta" />
<PackageVersion Include="Microsoft.Agents.Hosting.AspNetCore" Version="1.3.171-beta" />
<PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.2.41" />
<!-- A2A -->
<PackageVersion Include="A2A" Version="0.3.3-preview" />
<PackageVersion Include="A2A.AspNetCore" Version="0.3.3-preview" />
<!-- MCP -->
<PackageVersion Include="ModelContextProtocol" Version="0.4.0-preview.3" />
<!-- Inference SDKs -->
<PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.4.6" />
<PackageVersion Include="Anthropic.SDK" Version="5.8.0" />
<PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.4.1" />
<PackageVersion Include="Microsoft.ML.OnnxRuntimeGenAI" Version="0.10.0" />
<PackageVersion Include="OllamaSharp" Version="5.4.8" />
<PackageVersion Include="OpenAI" Version="2.7.0" />
<PackageVersion Include="OpenAI" Version="2.6.0" />
<!-- Identity -->
<PackageVersion Include="Microsoft.Identity.Client.Extensions.Msal" Version="4.78.0" />
<!-- Workflows -->
<PackageVersion Include="Microsoft.Bot.ObjectModel" Version="1.2025.1106.1" />
<PackageVersion Include="Microsoft.Bot.ObjectModel.Json" Version="1.2025.1106.1" />
<PackageVersion Include="Microsoft.Bot.ObjectModel.PowerFx" Version="1.2025.1106.1" />
<PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.5.0-build.20251008-1002" />
<!-- Durable Task -->
<PackageVersion Include="Microsoft.DurableTask.Client" Version="1.16.2" />
<PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.16.2-preview.1" />
<PackageVersion Include="Microsoft.DurableTask.Worker" Version="1.16.2" />
<PackageVersion Include="Microsoft.DurableTask.Worker.AzureManaged" Version="1.16.2-preview.1" />
<!-- Azure Functions -->
<PackageVersion Include="Microsoft.Azure.Functions.Worker" Version="2.50.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.ApplicationInsights" Version="2.50.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.9.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" Version="1.0.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http" Version="3.3.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" Version="2.1.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Mcp" Version="1.0.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Sdk" Version="2.0.7" />
<PackageVersion Include="Microsoft.Bot.ObjectModel" Version="1.2025.1003.2" />
<PackageVersion Include="Microsoft.Bot.ObjectModel.Json" Version="1.2025.1003.2" />
<PackageVersion Include="Microsoft.Bot.ObjectModel.PowerFx" Version="1.2025.1003.2" />
<PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.4.0" />
<!-- Community -->
<PackageVersion Include="System.Linq.Async" Version="6.0.3" />
<!-- Test -->
<PackageVersion Include="FluentAssertions" Version="8.8.0" />
<PackageVersion Include="Microsoft.AspNetCore.TestHost" Condition="'$(TargetFramework)' == 'net8.0'" Version="8.0.22" />
<PackageVersion Include="Microsoft.AspNetCore.TestHost" Condition="'$(TargetFramework)' == 'net9.0'" Version="9.0.11" />
<PackageVersion Include="Microsoft.AspNetCore.TestHost" Condition="'$(TargetFramework)' == 'net10.0'" Version="10.0.0" />
<PackageVersion Include="Microsoft.AspNetCore.TestHost" Version="9.0.10" />
<PackageVersion Include="Microsoft.NET.Test.Sdk" Version="18.0.0" />
<PackageVersion Include="Moq" Version="[4.18.4]" />
<PackageVersion Include="Microsoft.SemanticKernel.Agents.Abstractions" Version="1.66.0" />
<PackageVersion Include="Microsoft.SemanticKernel.Agents.Yaml" Version="1.66.0-beta" />
<PackageVersion Include="xunit" Version="2.9.3" />
<PackageVersion Include="xunit.abstractions" Version="2.0.3" />
<PackageVersion Include="xunit.runner.visualstudio" Version="3.1.3" />
<PackageVersion Include="Xunit.SkippableFact" Version="1.5.23" />
<PackageVersion Include="xretry" Version="1.9.0" />
<PackageVersion Include="coverlet.collector" Version="6.0.4" />
<!-- Symbols -->
<PackageVersion Include="Microsoft.SourceLink.GitHub" Version="8.0.0" />
<!-- Toolset -->
<PackageVersion Include="Microsoft.CodeAnalysis.CSharp" Version="4.14.0" />
<PackageVersion Include="Microsoft.CodeAnalysis.NetAnalyzers" Version="10.0.100" />
<PackageVersion Include="Microsoft.CodeAnalysis.NetAnalyzers" Version="9.0.0" />
<PackageReference Include="Microsoft.CodeAnalysis.NetAnalyzers">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
@@ -163,17 +135,17 @@
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
<PackageVersion Include="Roslynator.Analyzers" Version="4.14.1" />
<PackageVersion Include="Roslynator.Analyzers" Version="[4.14.0]" />
<PackageReference Include="Roslynator.Analyzers">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
<PackageVersion Include="Roslynator.CodeAnalysis.Analyzers" Version="4.14.1" />
<PackageVersion Include="Roslynator.CodeAnalysis.Analyzers" Version="[4.14.0]" />
<PackageReference Include="Roslynator.CodeAnalysis.Analyzers">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
<PackageVersion Include="Roslynator.Formatting.Analyzers" Version="4.14.1" />
<PackageVersion Include="Roslynator.Formatting.Analyzers" Version="[4.14.0]" />
<PackageReference Include="Roslynator.Formatting.Analyzers">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
+16 -103
View File
@@ -20,39 +20,23 @@
</Folder>
<Folder Name="/Samples/AGUIClientServer/">
<Project Path="samples/AGUIClientServer/AGUIClient/AGUIClient.csproj" />
<Project Path="samples/AGUIClientServer/AGUIDojoServer/AGUIDojoServer.csproj" />
<Project Path="samples/AGUIClientServer/AGUIServer/AGUIServer.csproj" />
</Folder>
<Folder Name="/Samples/AzureFunctions/">
<File Path="samples/AzureFunctions/.editorconfig" />
<File Path="samples/AzureFunctions/README.md" />
<Project Path="samples/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj" />
<Project Path="samples/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
<Project Path="samples/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
<Project Path="samples/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
<Project Path="samples/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
<Project Path="samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj" />
<Project Path="samples/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/">
<File Path="samples/GettingStarted/README.md" />
</Folder>
<Folder Name="/Samples/GettingStarted/A2A/">
<File Path="samples/GettingStarted/A2A/README.md" />
<Project Path="samples/GettingStarted/A2A/A2AAgent_AsFunctionTools/A2AAgent_AsFunctionTools.csproj" />
<Project Path="samples/GettingStarted/A2A/A2AAgent_PollingForTaskCompletion/A2AAgent_PollingForTaskCompletion.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/AgentProviders/">
<File Path="samples/GettingStarted/AgentProviders/README.md" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_A2A/Agent_With_A2A.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_Anthropic/Agent_With_Anthropic.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureAIAgentsPersistent/Agent_With_AzureAIAgentsPersistent.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureFoundryAgent/Agent_With_AzureFoundryAgent.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_Ollama/Agent_With_Ollama.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_ONNX/Agent_With_ONNX.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_OpenAIAssistants/Agent_With_OpenAIAssistants.csproj" />
@@ -63,7 +47,8 @@
<File Path="samples/GettingStarted/Agents/README.md" />
<Project Path="samples/GettingStarted/Agents/Agent_Step01_Running/Agent_Step01_Running.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step02_MultiturnConversation/Agent_Step02_MultiturnConversation.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step03_UsingFunctionTools/Agent_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step03.1_UsingFunctionTools/Agent_Step03.1_UsingFunctionTools.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step03.2_UsingFunctionTools_FromOpenAPI/Agent_Step03.2_UsingFunctionTools_FromOpenAPI.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj" />
@@ -73,67 +58,28 @@
<Project Path="samples/GettingStarted/Agents/Agent_Step10_AsMcpTool/Agent_Step10_AsMcpTool.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step11_UsingImages/Agent_Step11_UsingImages.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step12_AsFunctionTool/Agent_Step12_AsFunctionTool.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step13_BackgroundResponsesWithToolsAndPersistence/Agent_Step13_BackgroundResponsesWithToolsAndPersistence.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step13_Memory/Agent_Step13_Memory.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step14_Middleware/Agent_Step14_Middleware.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step15_Plugins/Agent_Step15_Plugins.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step16_ChatReduction/Agent_Step16_ChatReduction.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step17_BackgroundResponses/Agent_Step17_BackgroundResponses.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step18_DeepResearch/Agent_Step18_DeepResearch.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step19_Declarative/Agent_Step19_Declarative.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/DeclarativeAgents/">
<Project Path="samples/GettingStarted/DeclarativeAgents/ChatClient/DeclarativeChatClientAgents.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step18_TextSearchRag/Agent_Step18_TextSearchRag.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step19_Mem0Provider/Agent_Step19_Mem0Provider.csproj" />
<Project Path="samples/GettingStarted/Agents/Agent_Step20_BackgroundResponsesWithToolsAndPersistence/Agent_Step20_BackgroundResponsesWithToolsAndPersistence.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/DevUI/">
<File Path="samples/GettingStarted/DevUI/README.md" />
<Project Path="samples/GettingStarted/DevUI/DevUI_Step01_BasicUsage/DevUI_Step01_BasicUsage.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/AgentWithAnthropic/">
<File Path="samples/GettingStarted/AgentWithAnthropic/README.md" />
<Project Path="samples/GettingStarted/AgentWithAnthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj" />
<Project Path="samples/GettingStarted/AgentWithAnthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj" />
<Project Path="samples/GettingStarted/AgentWithAnthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/AgentWithMemory/">
<File Path="samples/GettingStarted/AgentWithMemory/README.md" />
<Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/AgentWithMemory_Step01_ChatHistoryMemory.csproj" />
<Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/AgentWithMemory_Step02_MemoryUsingMem0.csproj" />
<Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step03_CustomMemory/AgentWithMemory_Step03_CustomMemory.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/AgentWithOpenAI/">
<File Path="samples/GettingStarted/AgentWithOpenAI/README.md" />
<Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Agent_OpenAI_Step01_Running.csproj" />
<Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
</Folder>
<Folder Name="/Samples/Purview/" />
<Folder Name="/Samples/Purview/AgentWithPurview/">
<Project Path="samples/Purview/AgentWithPurview/AgentWithPurview.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/AgentWithRAG/">
<File Path="samples/GettingStarted/AgentWithRAG/README.md" />
<Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/AgentWithRAG_Step01_BasicTextRAG.csproj" />
<Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/AgentWithRAG_Step02_CustomVectorStoreRAG.csproj" />
<Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step03_CustomRAGDataSource/AgentWithRAG_Step03_CustomRAGDataSource.csproj" />
<Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step04_FoundryServiceRAG/AgentWithRAG_Step04_FoundryServiceRAG.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/FoundryAgents/">
<File Path="samples/GettingStarted/FoundryAgents/README.md" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step01.1_Basics/FoundryAgents_Step01.1_Basics.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step01.2_Running/FoundryAgents_Step01.2_Running.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step02_MultiturnConversation/FoundryAgents_Step02_MultiturnConversation.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step03_UsingFunctionTools/FoundryAgents_Step03_UsingFunctionTools.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step04_UsingFunctionToolsWithApprovals/FoundryAgents_Step04_UsingFunctionToolsWithApprovals.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step05_StructuredOutput/FoundryAgents_Step05_StructuredOutput.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step06_PersistedConversations/FoundryAgents_Step06_PersistedConversations.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step07_Observability/FoundryAgents_Step07_Observability.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step08_DependencyInjection/FoundryAgents_Step08_DependencyInjection.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step09_UsingMcpClientAsTools/FoundryAgents_Step09_UsingMcpClientAsTools.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step10_UsingImages/FoundryAgents_Step10_UsingImages.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step11_AsFunctionTool/FoundryAgents_Step11_AsFunctionTool.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step12_Middleware/FoundryAgents_Step12_Middleware.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step13_Plugins/FoundryAgents_Step13_Plugins.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step14_CodeInterpreter/FoundryAgents_Step14_CodeInterpreter.csproj" />
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step15_ComputerUse/FoundryAgents_Step15_ComputerUse.csproj" />
<Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step02_ExternalDataSourceRAG/AgentWithRAG_Step02_ExternalDataSourceRAG.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/ModelContextProtocol/">
<File Path="samples/GettingStarted/ModelContextProtocol/README.md" />
@@ -159,22 +105,13 @@
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Declarative/">
<File Path="samples/GettingStarted/Workflows/Declarative/README.md" />
<Project Path="samples/GettingStarted/Workflows/Declarative/ConfirmInput/ConfirmInput.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/CustomerSupport/CustomerSupport.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/DeepResearch/DeepResearch.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/ExecuteCode/ExecuteCode.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/ExecuteWorkflow/ExecuteWorkflow.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/FunctionTools/FunctionTools.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/GenerateCode/GenerateCode.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/HostedWorkflow/HostedWorkflow.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/InputArguments/InputArguments.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/Marketing/Marketing.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/StudentTeacher/StudentTeacher.csproj" />
<Project Path="samples/GettingStarted/Workflows/Declarative/ToolApproval/ToolApproval.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Declarative/Examples/">
<File Path="../workflow-samples/ConfirmInput.yaml" />
<File Path="../workflow-samples/DeepResearch.yaml" />
<File Path="../workflow-samples/HumanInLoop.yaml" />
<File Path="../workflow-samples/Marketing.yaml" />
<File Path="../workflow-samples/MathChat.yaml" />
<File Path="../workflow-samples/README.md" />
@@ -205,7 +142,7 @@
<Project Path="samples/GettingStarted/Workflows/Observability/WorkflowAsAnAgent/WorkflowAsAnAgentObservability.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Visualization/">
<Project Path="samples/GettingStarted/Workflows/Visualization/Visualization.csproj" />
<Project Path="samples/GettingStarted/Workflows/Visualization/Visualization.csproj" Id="99bf0bc6-2440-428e-b3e7-d880e4b7a5fd" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/_Foundational/">
<Project Path="samples/GettingStarted/Workflows/_Foundational/01_ExecutorsAndEdges/01_ExecutorsAndEdges.csproj" />
@@ -217,13 +154,10 @@
<Project Path="samples/GettingStarted/Workflows/_Foundational/07_MixedWorkflowAgentsAndExecutors/07_MixedWorkflowAgentsAndExecutors.csproj" />
<Project Path="samples/GettingStarted/Workflows/_Foundational/08_WriterCriticWorkflow/08_WriterCriticWorkflow.csproj" />
</Folder>
<Folder Name="/Samples/HostedAgents/">
<Project Path="samples/HostedAgents/AgentsInWorkflows/AgentsInWorkflows.csproj" />
<Project Path="samples/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj" />
<Project Path="samples/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
</Folder>
<Folder Name="/Samples/M365Agent/">
<Project Path="samples/M365Agent/M365Agent.csproj" />
<Folder Name="/Samples/Catalog/">
<Project Path="samples/Catalog/AgentsInWorkflows/AgentsInWorkflows.csproj" />
<Project Path="samples/Catalog/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
<Project Path="samples/Catalog/DeepResearchAgent/DeepResearchAgent.csproj" />
</Folder>
<Folder Name="/Solution Items/">
<File Path=".editorconfig" />
@@ -324,7 +258,6 @@
<File Path="src/Shared/Demos/SampleEnvironment.cs" />
</Folder>
<Folder Name="/Solution Items/src/Shared/IntegrationTests/">
<File Path="src/Shared/IntegrationTests/AnthropicConfiguration.cs" />
<File Path="src/Shared/IntegrationTests/AzureAIConfiguration.cs" />
<File Path="src/Shared/IntegrationTests/Mem0Configuration.cs" />
<File Path="src/Shared/IntegrationTests/OpenAIConfiguration.cs" />
@@ -349,24 +282,16 @@
<Project Path="src/Microsoft.Agents.AI.A2A/Microsoft.Agents.AI.A2A.csproj" />
<Project Path="src/Microsoft.Agents.AI.Abstractions/Microsoft.Agents.AI.Abstractions.csproj" />
<Project Path="src/Microsoft.Agents.AI.AGUI/Microsoft.Agents.AI.AGUI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Anthropic/Microsoft.Agents.AI.Anthropic.csproj" />
<Project Path="src/Microsoft.Agents.AI.AzureAI.Persistent/Microsoft.Agents.AI.AzureAI.Persistent.csproj" />
<Project Path="src/Microsoft.Agents.AI.AzureAI/Microsoft.Agents.AI.AzureAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.CopilotStudio/Microsoft.Agents.AI.CopilotStudio.csproj" />
<Project Path="src/Microsoft.Agents.AI.CosmosNoSql/Microsoft.Agents.AI.CosmosNoSql.csproj" />
<Project Path="src/Microsoft.Agents.AI.Declarative/Microsoft.Agents.AI.Declarative.csproj" />
<Project Path="src/Microsoft.Agents.AI.DevUI/Microsoft.Agents.AI.DevUI.csproj" />
<Project Path="src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.A2A.AspNetCore/Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.A2A/Microsoft.Agents.AI.Hosting.A2A.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting.OpenAI/Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Hosting/Microsoft.Agents.AI.Hosting.csproj" />
<Project Path="src/Microsoft.Agents.AI.Mem0/Microsoft.Agents.AI.Mem0.csproj" />
<Project Path="src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Purview/Microsoft.Agents.AI.Purview.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.AzureAI/Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative/Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows/Microsoft.Agents.AI.Workflows.csproj" />
<Project Path="src/Microsoft.Agents.AI/Microsoft.Agents.AI.csproj" />
@@ -374,13 +299,9 @@
<Folder Name="/Tests/" />
<Folder Name="/Tests/IntegrationTests/">
<Project Path="tests/AgentConformance.IntegrationTests/AgentConformance.IntegrationTests.csproj" />
<Project Path="tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletion.IntegrationTests.csproj" />
<Project Path="tests/AzureAI.IntegrationTests/AzureAI.IntegrationTests.csproj" />
<Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" />
<Project Path="tests/CopilotStudio.IntegrationTests/CopilotStudio.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Mem0.IntegrationTests/Microsoft.Agents.AI.Mem0.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.csproj" />
<Project Path="tests/OpenAIAssistant.IntegrationTests/OpenAIAssistant.IntegrationTests.csproj" />
@@ -391,23 +312,15 @@
<Project Path="tests/Microsoft.Agents.AI.A2A.UnitTests/Microsoft.Agents.AI.A2A.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Abstractions.UnitTests/Microsoft.Agents.AI.Abstractions.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.AGUI.UnitTests/Microsoft.Agents.AI.AGUI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Anthropic.UnitTests/Microsoft.Agents.AI.Anthropic.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.AzureAI.UnitTests/Microsoft.Agents.AI.AzureAI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/Microsoft.Agents.AI.CosmosNoSql.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Declarative.UnitTests/Microsoft.Agents.AI.Declarative.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DevUI.UnitTests/Microsoft.Agents.AI.DevUI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.A2A.UnitTests/Microsoft.Agents.AI.Hosting.A2A.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.A2A.Tests/Microsoft.Agents.AI.Hosting.A2A.Tests.csproj" Id="2a1c544d-237d-4436-8732-ba0c447ac06b" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.UnitTests/Microsoft.Agents.AI.Hosting.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Mem0.UnitTests/Microsoft.Agents.AI.Mem0.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.OpenAI.UnitTests/Microsoft.Agents.AI.OpenAI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Purview.UnitTests/Microsoft.Agents.AI.Purview.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.UnitTests/Microsoft.Agents.AI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Workflows.UnitTests/Microsoft.Agents.AI.Workflows.UnitTests.csproj" />
</Folder>
</Solution>
</Solution>
-9
View File
@@ -11,13 +11,4 @@
<ItemGroup Condition="'$(InjectSharedBuildTestCode)' == 'true'">
<Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\CodeTests\*.cs" LinkBase="Shared\CodeTests" />
</ItemGroup>
<ItemGroup Condition="'$(InjectSharedWorkflowsExecution)' == 'true'">
<Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\Workflows\Execution\*.cs" LinkBase="Shared\Workflows" />
</ItemGroup>
<ItemGroup Condition="'$(InjectSharedWorkflowsSettings)' == 'true'">
<Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\Workflows\Settings\*.cs" LinkBase="Shared\Workflows" />
</ItemGroup>
<ItemGroup Condition="'$(InjectSharedFoundryAgents)' == 'true'">
<Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\Foundry\Agents\*.cs" LinkBase="Shared\Foundry" />
</ItemGroup>
</Project>
+2 -2
View File
@@ -1,7 +1,7 @@
{
"sdk": {
"version": "10.0.100",
"rollForward": "minor",
"version": "9.0.300",
"rollForward": "latestMajor",
"allowPrerelease": false
}
}
+3 -3
View File
@@ -2,9 +2,9 @@
<PropertyGroup>
<!-- Central version prefix - applies to all nuget packages. -->
<VersionPrefix>1.0.0</VersionPrefix>
<PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).251125.1</PackageVersion>
<PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.251125.1</PackageVersion>
<GitTag>1.0.0-preview.251125.1</GitTag>
<PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).251105.1</PackageVersion>
<PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.251105.1</PackageVersion>
<GitTag>1.0.0-preview.251105.1</GitTag>
<Configurations>Debug;Release;Publish</Configurations>
<IsPackable>true</IsPackable>
@@ -2,7 +2,7 @@
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<TargetFramework>net9.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<UserSecretsId>5ee045b0-aea3-4f08-8d31-32d1a6f8fed0</UserSecretsId>
@@ -12,6 +12,8 @@
<PackageReference Include="A2A" />
<PackageReference Include="System.CommandLine" />
<PackageReference Include="Microsoft.Extensions.Hosting" />
<PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
<PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
</ItemGroup>
<ItemGroup>
@@ -2,7 +2,7 @@
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<TargetFramework>net9.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<UserSecretsId>5ee045b0-aea3-4f08-8d31-32d1a6f8fed0</UserSecretsId>
@@ -11,11 +11,8 @@
<ItemGroup>
<PackageReference Include="Azure.AI.Agents.Persistent" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<ItemGroup Condition="!$([MSBuild]::IsTargetFrameworkCompatible($(TargetFramework), 'net10.0'))">
<PackageReference Include="Microsoft.Bcl.AsyncInterfaces" />
<PackageReference Include="System.Linq.AsyncEnumerable" />
<PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
<PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
</ItemGroup>
<ItemGroup>
+1 -1
View File
@@ -103,7 +103,7 @@ dotnet run --urls "http://localhost:5002;https://localhost:5012" --agentId "<Log
### Testing the Agents using the Rest Client
This sample contains a [.http file](https://learn.microsoft.com/aspnet/core/test/http-files?view=aspnetcore-10.0) which can be used to test the agent.
This sample contains a [.http file](https://learn.microsoft.com/aspnet/core/test/http-files?view=aspnetcore-9.0) which can be used to test the agent.
1. In Visual Studio open [./A2AServer/A2AServer.http](./A2AServer/A2AServer.http)
1. There are two sent requests for each agent, e.g., for the invoice agent:
@@ -2,7 +2,7 @@
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<TargetFramework>net9.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<UserSecretsId>a8b2e9f0-1ea3-4f18-9d41-42d1a6f8fe10</UserSecretsId>
@@ -11,10 +11,11 @@
<ItemGroup>
<PackageReference Include="System.CommandLine" />
<PackageReference Include="Microsoft.Extensions.Hosting" />
<PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
<PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.AGUI\Microsoft.Agents.AI.AGUI.csproj" />
</ItemGroup>
@@ -1,12 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use the AG-UI client to connect to a remote AG-UI server
// and display streaming updates including conversation/response metadata, text content, and errors.
using System.Text.Json.Serialization;
namespace AGUIClient;
[JsonSerializable(typeof(SensorRequest))]
[JsonSerializable(typeof(SensorResponse))]
internal sealed partial class AGUIClientSerializerContext : JsonSerializerContext;
@@ -4,9 +4,7 @@
// and display streaming updates including conversation/response metadata, text content, and errors.
using System.CommandLine;
using System.ComponentModel;
using System.Reflection;
using System.Text;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.AGUI;
using Microsoft.Extensions.AI;
@@ -53,40 +51,11 @@ public static class Program
Timeout = TimeSpan.FromSeconds(60)
};
var changeBackground = AIFunctionFactory.Create(
() =>
{
Console.ForegroundColor = ConsoleColor.DarkBlue;
Console.WriteLine("Changing color to blue");
},
name: "change_background_color",
description: "Change the console background color to dark blue."
);
var readClientClimateSensors = AIFunctionFactory.Create(
([Description("The sensors measurements to include in the response")] SensorRequest request) =>
{
return new SensorResponse()
{
Temperature = 22.5,
Humidity = 45.0,
AirQualityIndex = 75
};
},
name: "read_client_climate_sensors",
description: "Reads the climate sensor data from the client device.",
serializerOptions: AGUIClientSerializerContext.Default.Options
);
var chatClient = new AGUIChatClient(
httpClient,
serverUrl,
jsonSerializerOptions: AGUIClientSerializerContext.Default.Options);
AIAgent agent = chatClient.CreateAIAgent(
name: "agui-client",
AGUIAgent agent = new(
id: "agui-client",
description: "AG-UI Client Agent",
tools: [changeBackground, readClientClimateSensors]);
httpClient: httpClient,
endpoint: serverUrl);
AgentThread thread = agent.GetNewThread();
List<ChatMessage> messages = [new(ChatRole.System, "You are a helpful assistant.")];
@@ -113,12 +82,10 @@ public static class Program
// Call RunStreamingAsync to get streaming updates
bool isFirstUpdate = true;
string? threadId = null;
var updates = new List<ChatResponseUpdate>();
await foreach (AgentRunResponseUpdate update in agent.RunStreamingAsync(messages, thread, cancellationToken: cancellationToken))
{
// Use AsChatResponseUpdate to access ChatResponseUpdate properties
ChatResponseUpdate chatUpdate = update.AsChatResponseUpdate();
updates.Add(chatUpdate);
if (chatUpdate.ConversationId != null)
{
threadId = chatUpdate.ConversationId;
@@ -144,25 +111,6 @@ public static class Program
Console.ResetColor();
break;
case FunctionCallContent functionCallContent:
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine($"\n[Function Call - Name: {functionCallContent.Name}, Arguments: {PrintArguments(functionCallContent.Arguments)}]");
Console.ResetColor();
break;
case FunctionResultContent functionResultContent:
Console.ForegroundColor = ConsoleColor.Magenta;
if (functionResultContent.Exception != null)
{
Console.WriteLine($"\n[Function Result - Exception: {functionResultContent.Exception}]");
}
else
{
Console.WriteLine($"\n[Function Result - Result: {functionResultContent.Result}]");
}
Console.ResetColor();
break;
case ErrorContent errorContent:
Console.ForegroundColor = ConsoleColor.Red;
string code = errorContent.AdditionalProperties?["Code"] as string ?? "Unknown";
@@ -172,14 +120,6 @@ public static class Program
}
}
}
if (updates.Count > 0 && !updates[^1].Contents.Any(c => c is TextContent))
{
var lastUpdate = updates[^1];
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine();
Console.WriteLine($"[Run Ended - Thread: {threadId}, Run: {lastUpdate.ResponseId}]");
Console.ResetColor();
}
messages.Clear();
Console.WriteLine();
}
@@ -194,20 +134,4 @@ public static class Program
return;
}
}
private static string PrintArguments(IDictionary<string, object?>? arguments)
{
if (arguments == null)
{
return "";
}
var builder = new StringBuilder().AppendLine();
foreach (var kvp in arguments)
{
builder
.AppendLine($" Name: {kvp.Key}")
.AppendLine($" Value: {kvp.Value}");
}
return builder.ToString();
}
}
@@ -1,13 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use the AG-UI client to connect to a remote AG-UI server
// and display streaming updates including conversation/response metadata, text content, and errors.
namespace AGUIClient;
internal sealed class SensorRequest
{
public bool IncludeTemperature { get; set; } = true;
public bool IncludeHumidity { get; set; } = true;
public bool IncludeAirQualityIndex { get; set; } = true;
}
@@ -1,13 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use the AG-UI client to connect to a remote AG-UI server
// and display streaming updates including conversation/response metadata, text content, and errors.
namespace AGUIClient;
internal sealed class SensorResponse
{
public double Temperature { get; set; }
public double Humidity { get; set; }
public int AirQualityIndex { get; set; }
}
@@ -1,11 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json.Serialization;
namespace AGUIDojoServer;
[JsonSerializable(typeof(WeatherInfo))]
[JsonSerializable(typeof(Recipe))]
[JsonSerializable(typeof(Ingredient))]
[JsonSerializable(typeof(RecipeResponse))]
internal sealed partial class AGUIDojoServerSerializerContext : JsonSerializerContext;
@@ -1,98 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.ComponentModel;
using System.Text.Json;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using ChatClient = OpenAI.Chat.ChatClient;
namespace AGUIDojoServer;
internal static class ChatClientAgentFactory
{
private static AzureOpenAIClient? s_azureOpenAIClient;
private static string? s_deploymentName;
public static void Initialize(IConfiguration configuration)
{
string endpoint = configuration["AZURE_OPENAI_ENDPOINT"] ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
s_deploymentName = configuration["AZURE_OPENAI_DEPLOYMENT_NAME"] ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set.");
s_azureOpenAIClient = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential());
}
public static ChatClientAgent CreateAgenticChat()
{
ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
return chatClient.AsIChatClient().CreateAIAgent(
name: "AgenticChat",
description: "A simple chat agent using Azure OpenAI");
}
public static ChatClientAgent CreateBackendToolRendering()
{
ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
return chatClient.AsIChatClient().CreateAIAgent(
name: "BackendToolRenderer",
description: "An agent that can render backend tools using Azure OpenAI",
tools: [AIFunctionFactory.Create(
GetWeather,
name: "get_weather",
description: "Get the weather for a given location.",
AGUIDojoServerSerializerContext.Default.Options)]);
}
public static ChatClientAgent CreateHumanInTheLoop()
{
ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
return chatClient.AsIChatClient().CreateAIAgent(
name: "HumanInTheLoopAgent",
description: "An agent that involves human feedback in its decision-making process using Azure OpenAI");
}
public static ChatClientAgent CreateToolBasedGenerativeUI()
{
ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
return chatClient.AsIChatClient().CreateAIAgent(
name: "ToolBasedGenerativeUIAgent",
description: "An agent that uses tools to generate user interfaces using Azure OpenAI");
}
public static ChatClientAgent CreateAgenticUI()
{
ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
return chatClient.AsIChatClient().CreateAIAgent(
name: "AgenticUIAgent",
description: "An agent that generates agentic user interfaces using Azure OpenAI");
}
public static AIAgent CreateSharedState(JsonSerializerOptions options)
{
ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
var baseAgent = chatClient.AsIChatClient().CreateAIAgent(
name: "SharedStateAgent",
description: "An agent that demonstrates shared state patterns using Azure OpenAI");
return new SharedStateAgent(baseAgent, options);
}
[Description("Get the weather for a given location.")]
private static WeatherInfo GetWeather([Description("The location to get the weather for.")] string location) => new()
{
Temperature = 20,
Conditions = "sunny",
Humidity = 50,
WindSpeed = 10,
FeelsLike = 25
};
}
@@ -1,17 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json.Serialization;
namespace AGUIDojoServer;
internal sealed class Ingredient
{
[JsonPropertyName("icon")]
public string Icon { get; set; } = string.Empty;
[JsonPropertyName("name")]
public string Name { get; set; } = string.Empty;
[JsonPropertyName("amount")]
public string Amount { get; set; } = string.Empty;
}
@@ -1,45 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using AGUIDojoServer;
using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
using Microsoft.AspNetCore.HttpLogging;
using Microsoft.Extensions.Options;
WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
builder.Services.AddHttpLogging(logging =>
{
logging.LoggingFields = HttpLoggingFields.RequestPropertiesAndHeaders | HttpLoggingFields.RequestBody
| HttpLoggingFields.ResponsePropertiesAndHeaders | HttpLoggingFields.ResponseBody;
logging.RequestBodyLogLimit = int.MaxValue;
logging.ResponseBodyLogLimit = int.MaxValue;
});
builder.Services.AddHttpClient().AddLogging();
builder.Services.ConfigureHttpJsonOptions(options => options.SerializerOptions.TypeInfoResolverChain.Add(AGUIDojoServerSerializerContext.Default));
builder.Services.AddAGUI();
WebApplication app = builder.Build();
app.UseHttpLogging();
// Initialize the factory
ChatClientAgentFactory.Initialize(app.Configuration);
// Map the AG-UI agent endpoints for different scenarios
app.MapAGUI("/agentic_chat", ChatClientAgentFactory.CreateAgenticChat());
app.MapAGUI("/backend_tool_rendering", ChatClientAgentFactory.CreateBackendToolRendering());
app.MapAGUI("/human_in_the_loop", ChatClientAgentFactory.CreateHumanInTheLoop());
app.MapAGUI("/tool_based_generative_ui", ChatClientAgentFactory.CreateToolBasedGenerativeUI());
app.MapAGUI("/agentic_generative_ui", ChatClientAgentFactory.CreateAgenticUI());
var jsonOptions = app.Services.GetRequiredService<IOptions<Microsoft.AspNetCore.Http.Json.JsonOptions>>();
app.MapAGUI("/shared_state", ChatClientAgentFactory.CreateSharedState(jsonOptions.Value.SerializerOptions));
await app.RunAsync();
public partial class Program;
@@ -1,12 +0,0 @@
{
"profiles": {
"AGUIDojoServer": {
"commandName": "Project",
"launchBrowser": true,
"environmentVariables": {
"ASPNETCORE_ENVIRONMENT": "Development"
},
"applicationUrl": "http://localhost:5018"
}
}
}
@@ -1,26 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json.Serialization;
namespace AGUIDojoServer;
internal sealed class Recipe
{
[JsonPropertyName("title")]
public string Title { get; set; } = string.Empty;
[JsonPropertyName("skill_level")]
public string SkillLevel { get; set; } = string.Empty;
[JsonPropertyName("cooking_time")]
public string CookingTime { get; set; } = string.Empty;
[JsonPropertyName("special_preferences")]
public List<string> SpecialPreferences { get; set; } = [];
[JsonPropertyName("ingredients")]
public List<Ingredient> Ingredients { get; set; } = [];
[JsonPropertyName("instructions")]
public List<string> Instructions { get; set; } = [];
}
@@ -1,13 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json.Serialization;
namespace AGUIDojoServer;
#pragma warning disable CA1812 // Used for the JsonSchema response format
internal sealed class RecipeResponse
#pragma warning restore CA1812
{
[JsonPropertyName("recipe")]
public Recipe Recipe { get; set; } = new();
}
@@ -1,106 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Diagnostics.CodeAnalysis;
using System.Runtime.CompilerServices;
using System.Text.Json;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
namespace AGUIDojoServer;
[SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated by ChatClientAgentFactory.CreateSharedState")]
internal sealed class SharedStateAgent : DelegatingAIAgent
{
private readonly JsonSerializerOptions _jsonSerializerOptions;
public SharedStateAgent(AIAgent innerAgent, JsonSerializerOptions jsonSerializerOptions)
: base(innerAgent)
{
this._jsonSerializerOptions = jsonSerializerOptions;
}
public override Task<AgentRunResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
{
return this.RunStreamingAsync(messages, thread, options, cancellationToken).ToAgentRunResponseAsync(cancellationToken);
}
public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentRunOptions? options = null,
[EnumeratorCancellation] CancellationToken cancellationToken = default)
{
if (options is not ChatClientAgentRunOptions { ChatOptions.AdditionalProperties: { } properties } chatRunOptions ||
!properties.TryGetValue("ag_ui_state", out JsonElement state))
{
await foreach (var update in this.InnerAgent.RunStreamingAsync(messages, thread, options, cancellationToken).ConfigureAwait(false))
{
yield return update;
}
yield break;
}
var firstRunOptions = new ChatClientAgentRunOptions
{
ChatOptions = chatRunOptions.ChatOptions.Clone(),
AllowBackgroundResponses = chatRunOptions.AllowBackgroundResponses,
ContinuationToken = chatRunOptions.ContinuationToken,
ChatClientFactory = chatRunOptions.ChatClientFactory,
};
// Configure JSON schema response format for structured state output
firstRunOptions.ChatOptions.ResponseFormat = ChatResponseFormat.ForJsonSchema<RecipeResponse>(
schemaName: "RecipeResponse",
schemaDescription: "A response containing a recipe with title, skill level, cooking time, preferences, ingredients, and instructions");
ChatMessage stateUpdateMessage = new(
ChatRole.System,
[
new TextContent("Here is the current state in JSON format:"),
new TextContent(state.GetRawText()),
new TextContent("The new state is:")
]);
var firstRunMessages = messages.Append(stateUpdateMessage);
var allUpdates = new List<AgentRunResponseUpdate>();
await foreach (var update in this.InnerAgent.RunStreamingAsync(firstRunMessages, thread, firstRunOptions, cancellationToken).ConfigureAwait(false))
{
allUpdates.Add(update);
// Yield all non-text updates (tool calls, etc.)
bool hasNonTextContent = update.Contents.Any(c => c is not TextContent);
if (hasNonTextContent)
{
yield return update;
}
}
var response = allUpdates.ToAgentRunResponse();
if (response.TryDeserialize(this._jsonSerializerOptions, out JsonElement stateSnapshot))
{
byte[] stateBytes = JsonSerializer.SerializeToUtf8Bytes(
stateSnapshot,
this._jsonSerializerOptions.GetTypeInfo(typeof(JsonElement)));
yield return new AgentRunResponseUpdate
{
Contents = [new DataContent(stateBytes, "application/json")]
};
}
else
{
yield break;
}
var secondRunMessages = messages.Concat(response.Messages).Append(
new ChatMessage(
ChatRole.System,
[new TextContent("Please provide a concise summary of the state changes in at most two sentences.")]));
await foreach (var update in this.InnerAgent.RunStreamingAsync(secondRunMessages, thread, options, cancellationToken).ConfigureAwait(false))
{
yield return update;
}
}
}
@@ -1,23 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json.Serialization;
namespace AGUIDojoServer;
internal sealed class WeatherInfo
{
[JsonPropertyName("temperature")]
public int Temperature { get; init; }
[JsonPropertyName("conditions")]
public string Conditions { get; init; } = string.Empty;
[JsonPropertyName("humidity")]
public int Humidity { get; init; }
[JsonPropertyName("wind_speed")]
public int WindSpeed { get; init; }
[JsonPropertyName("feelsLike")]
public int FeelsLike { get; init; }
}
@@ -1,9 +0,0 @@
{
"Logging": {
"LogLevel": {
"Default": "Information",
"Microsoft.AspNetCore": "Warning",
"Microsoft.AspNetCore.HttpLogging.HttpLoggingMiddleware": "Information"
}
}
}
@@ -1,10 +0,0 @@
{
"Logging": {
"LogLevel": {
"Default": "Information",
"Microsoft.AspNetCore": "Warning",
"Microsoft.AspNetCore.HttpLogging.HttpLoggingMiddleware": "Information"
}
},
"AllowedHosts": "*"
}
@@ -2,7 +2,7 @@
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<TargetFramework>net9.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<UserSecretsId>a8b2e9f0-1ea3-4f18-9d41-42d1a6f8fe10</UserSecretsId>
@@ -11,6 +11,8 @@
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
<PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
</ItemGroup>
<ItemGroup>
@@ -1,9 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json.Serialization;
namespace AGUIServer;
[JsonSerializable(typeof(ServerWeatherForecastRequest))]
[JsonSerializable(typeof(ServerWeatherForecastResponse))]
internal sealed partial class AGUIServerSerializerContext : JsonSerializerContext;
@@ -1,7 +1,5 @@
// Copyright (c) Microsoft. All rights reserved.
using System.ComponentModel;
using AGUIServer;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
@@ -10,40 +8,17 @@ using OpenAI;
WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
builder.Services.AddHttpClient().AddLogging();
builder.Services.ConfigureHttpJsonOptions(options => options.SerializerOptions.TypeInfoResolverChain.Add(AGUIServerSerializerContext.Default));
builder.Services.AddAGUI();
WebApplication app = builder.Build();
string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"] ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = builder.Configuration["AZURE_OPENAI_DEPLOYMENT_NAME"] ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set.");
// Create the AI agent with tools
// Create the AI agent
var agent = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetChatClient(deploymentName)
.CreateAIAgent(
name: "AGUIAssistant",
tools: [
AIFunctionFactory.Create(
() => DateTimeOffset.UtcNow,
name: "get_current_time",
description: "Get the current UTC time."
),
AIFunctionFactory.Create(
([Description("The weather forecast request")]ServerWeatherForecastRequest request) => {
return new ServerWeatherForecastResponse()
{
Summary = "Sunny",
TemperatureC = 25,
Date = request.Date
};
},
name: "get_server_weather_forecast",
description: "Gets the forecast for a specific location and date",
AGUIServerSerializerContext.Default.Options)
]);
.CreateAIAgent(name: "AGUIAssistant");
// Map the AG-UI agent endpoint
app.MapAGUI("/", agent);
@@ -1,12 +0,0 @@
{
"profiles": {
"AGUIServer": {
"commandName": "Project",
"launchBrowser": true,
"environmentVariables": {
"ASPNETCORE_ENVIRONMENT": "Development"
},
"applicationUrl": "http://localhost:5100;https://localhost:5101"
}
}
}
@@ -1,9 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
namespace AGUIServer;
internal sealed class ServerWeatherForecastRequest
{
public DateTime Date { get; set; }
public string Location { get; set; } = "Seattle";
}
@@ -1,12 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
namespace AGUIServer;
internal sealed class ServerWeatherForecastResponse
{
public string Summary { get; set; } = "";
public int TemperatureC { get; set; }
public DateTime Date { get; set; }
}
+6 -12
View File
@@ -134,21 +134,15 @@ This automatically handles:
### Client Side
The `AGUIClient` uses the `AGUIChatClient` to connect to the remote server:
The `AGUIClient` uses the `AGUIAgent` class to connect to the remote server:
```csharp
using HttpClient httpClient = new();
var chatClient = new AGUIChatClient(
httpClient,
endpoint: serverUrl,
modelId: "agui-client",
jsonSerializerOptions: null);
AIAgent agent = chatClient.CreateAIAgent(
instructions: null,
name: "agui-client",
AGUIAgent agent = new(
id: "agui-client",
description: "AG-UI Client Agent",
tools: []);
messages: [],
httpClient: httpClient,
endpoint: serverUrl);
bool isFirstUpdate = true;
AgentRunResponseUpdate? currentUpdate = null;
@@ -2,7 +2,7 @@
using System.Diagnostics.CodeAnalysis;
using System.Text.Json.Serialization;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Hosting;
namespace AgentWebChat.AgentHost;
@@ -10,24 +10,24 @@ internal static class ActorFrameworkWebApplicationExtensions
{
public static void MapAgentDiscovery(this IEndpointRouteBuilder endpoints, [StringSyntax("Route")] string path)
{
var registeredAIAgents = endpoints.ServiceProvider.GetKeyedServices<AIAgent>(KeyedService.AnyKey);
var routeGroup = endpoints.MapGroup(path);
routeGroup.MapGet("/", async (CancellationToken cancellationToken) =>
{
var results = new List<AgentDiscoveryCard>();
foreach (var result in registeredAIAgents)
routeGroup.MapGet("/", async (
AgentCatalog agentCatalog,
CancellationToken cancellationToken) =>
{
results.Add(new AgentDiscoveryCard
var results = new List<AgentDiscoveryCard>();
await foreach (var result in agentCatalog.GetAgentsAsync(cancellationToken).ConfigureAwait(false))
{
Name = result.Name!,
Description = result.Description,
});
}
results.Add(new AgentDiscoveryCard
{
Name = result.Name!,
Description = result.Description,
});
}
return Results.Ok(results);
})
.WithName("GetAgents");
return Results.Ok(results);
})
.WithName("GetAgents");
}
internal sealed class AgentDiscoveryCard
@@ -1,20 +1,19 @@
<Project Sdk="Microsoft.NET.Sdk.Web">
<Project Sdk="Microsoft.NET.Sdk.Web">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<TargetFramework>net9.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<GenerateDocumentationFile>true</GenerateDocumentationFile>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.DevUI\Microsoft.Agents.AI.DevUI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting\Microsoft.Agents.AI.Hosting.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.A2A.AspNetCore\Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.OpenAI\Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.OpenAI\Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
<ProjectReference Include="..\AgentWebChat.ServiceDefaults\AgentWebChat.ServiceDefaults.csproj" />
</ItemGroup>
@@ -31,4 +30,11 @@
<PackageReference Include="Swashbuckle.AspNetCore.SwaggerUI" />
</ItemGroup>
</Project>
<!-- A2A dependency -->
<ItemGroup>
<PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
<PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
</ItemGroup>
<!-- A2A dependency -->
</Project>
@@ -1,15 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Extensions.AI;
namespace AgentWebChat.AgentHost.Custom;
public class CustomAITool : AITool;
public class CustomFunctionTool : AIFunction
{
protected override ValueTask<object?> InvokeCoreAsync(AIFunctionArguments arguments, CancellationToken cancellationToken)
{
return new ValueTask<object?>(arguments.Context?.Count ?? 0);
}
}
@@ -2,10 +2,8 @@
using A2A.AspNetCore;
using AgentWebChat.AgentHost;
using AgentWebChat.AgentHost.Custom;
using AgentWebChat.AgentHost.Utilities;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.DevUI;
using Microsoft.Agents.AI.Hosting;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;
@@ -22,20 +20,11 @@ builder.Services.AddProblemDetails();
// Configure the chat model and our agent.
builder.AddKeyedChatClient("chat-model");
// Add DevUI services
builder.AddDevUI();
// Add OpenAI services
builder.AddOpenAIChatCompletions();
builder.AddOpenAIResponses();
var pirateAgentBuilder = builder.AddAIAgent(
"pirate",
instructions: "You are a pirate. Speak like a pirate",
description: "An agent that speaks like a pirate.",
chatClientServiceKey: "chat-model")
.WithAITool(new CustomAITool())
.WithAITool(new CustomFunctionTool())
.WithInMemoryThreadStore();
var knightsKnavesAgentBuilder = builder.AddAIAgent("knights-and-knaves", (sp, key) =>
@@ -89,62 +78,11 @@ var literatureAgent = builder.AddAIAgent("literator",
description: "An agent that helps with literature.",
chatClientServiceKey: "chat-model");
var scienceSequentialWorkflow = builder.AddWorkflow("science-sequential-workflow", (sp, key) =>
{
List<IHostedAgentBuilder> usedAgents = [chemistryAgent, mathsAgent, literatureAgent];
var agents = usedAgents.Select(ab => sp.GetRequiredKeyedService<AIAgent>(ab.Name));
return AgentWorkflowBuilder.BuildSequential(workflowName: key, agents: agents);
}).AddAsAIAgent();
builder.AddSequentialWorkflow("science-sequential-workflow", [chemistryAgent, mathsAgent, literatureAgent]).AddAsAIAgent();
builder.AddConcurrentWorkflow("science-concurrent-workflow", [chemistryAgent, mathsAgent, literatureAgent]).AddAsAIAgent();
var scienceConcurrentWorkflow = builder.AddWorkflow("science-concurrent-workflow", (sp, key) =>
{
List<IHostedAgentBuilder> usedAgents = [chemistryAgent, mathsAgent, literatureAgent];
var agents = usedAgents.Select(ab => sp.GetRequiredKeyedService<AIAgent>(ab.Name));
return AgentWorkflowBuilder.BuildConcurrent(workflowName: key, agents: agents);
}).AddAsAIAgent();
builder.AddWorkflow("nonAgentWorkflow", (sp, key) =>
{
List<IHostedAgentBuilder> usedAgents = [pirateAgentBuilder, chemistryAgent];
var agents = usedAgents.Select(ab => sp.GetRequiredKeyedService<AIAgent>(ab.Name));
return AgentWorkflowBuilder.BuildSequential(workflowName: key, agents: agents);
});
builder.Services.AddKeyedSingleton("NonAgentAndNonmatchingDINameWorkflow", (sp, key) =>
{
List<IHostedAgentBuilder> usedAgents = [pirateAgentBuilder, chemistryAgent];
var agents = usedAgents.Select(ab => sp.GetRequiredKeyedService<AIAgent>(ab.Name));
return AgentWorkflowBuilder.BuildSequential(workflowName: "random-name", agents: agents);
});
builder.Services.AddSingleton<AIAgent>(sp =>
{
var chatClient = sp.GetRequiredKeyedService<IChatClient>("chat-model");
return new ChatClientAgent(chatClient, name: "default-agent", instructions: "you are a default agent.");
});
builder.Services.AddKeyedSingleton<AIAgent>("my-di-nonmatching-agent", (sp, name) =>
{
var chatClient = sp.GetRequiredKeyedService<IChatClient>("chat-model");
return new ChatClientAgent(
chatClient,
name: "some-random-name", // demonstrating registration can be different for DI and actual agent
instructions: "you are a dependency inject agent. Tell me all about dependency injection.");
});
builder.Services.AddKeyedSingleton<AIAgent>("my-di-matchingname-agent", (sp, name) =>
{
if (name is not string nameStr)
{
throw new NotSupportedException("Name should be passed as a key");
}
var chatClient = sp.GetRequiredKeyedService<IChatClient>("chat-model");
return new ChatClientAgent(
chatClient,
name: nameStr, // demonstrating registration with the same name
instructions: "you are a dependency inject agent. Tell me all about dependency injection.");
});
builder.AddOpenAIChatCompletions();
builder.AddOpenAIResponses();
var app = builder.Build();
@@ -155,8 +93,8 @@ app.UseSwaggerUI(options => options.SwaggerEndpoint("/openapi/v1.json", "Agents
app.UseExceptionHandler();
// attach a2a with simple message communication
app.MapA2A(pirateAgentBuilder, path: "/a2a/pirate");
app.MapA2A(knightsKnavesAgentBuilder, path: "/a2a/knights-and-knaves", agentCard: new()
app.MapA2A(agentName: "pirate", path: "/a2a/pirate");
app.MapA2A(agentName: "knights-and-knaves", path: "/a2a/knights-and-knaves", agentCard: new()
{
Name = "Knights and Knaves",
Description = "An agent that helps you solve the knights and knaves puzzle.",
@@ -166,10 +104,7 @@ app.MapA2A(knightsKnavesAgentBuilder, path: "/a2a/knights-and-knaves", agentCard
// Url = "http://localhost:5390/a2a/knights-and-knaves"
});
app.MapDevUI();
app.MapOpenAIResponses();
app.MapOpenAIConversations();
app.MapOpenAIChatCompletions(pirateAgentBuilder);
app.MapOpenAIChatCompletions(knightsKnavesAgentBuilder);
@@ -4,7 +4,7 @@
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<TargetFramework>net9.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<IsAspireHost>true</IsAspireHost>
@@ -9,9 +9,7 @@ var azOpenAiResourceGroup = builder.AddParameterFromConfiguration("AzureOpenAIRe
var chatModel = builder.AddAIModel("chat-model").AsAzureOpenAI("gpt-4o", o => o.AsExisting(azOpenAiResource, azOpenAiResourceGroup));
var agentHost = builder.AddProject<Projects.AgentWebChat_AgentHost>("agenthost")
.WithHttpEndpoint(name: "devui")
.WithUrlForEndpoint("devui", (url) => new() { Url = "/devui", DisplayText = "Dev UI" })
.WithReference(chatModel);
.WithReference(chatModel);
builder.AddProject<Projects.AgentWebChat_Web>("webfrontend")
.WithExternalHttpEndpoints()
@@ -1,7 +1,7 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<TargetFramework>net9.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<IsAspireSharedProject>true</IsAspireSharedProject>
@@ -25,7 +25,7 @@ internal sealed class A2AAgentClient : AgentClientBase
this._uri = baseUri;
}
public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
public async override IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
string agentName,
IList<ChatMessage> messages,
string? threadId = null,
@@ -122,7 +122,7 @@ internal sealed class A2AAgentClient : AgentClientBase
}
}
public override async Task<AgentCard?> GetAgentCardAsync(string agentName, CancellationToken cancellationToken = default)
public async override Task<AgentCard?> GetAgentCardAsync(string agentName, CancellationToken cancellationToken = default)
{
this._logger.LogInformation("Retrieving agent card for {Agent}", agentName);
@@ -1,7 +1,7 @@
<Project Sdk="Microsoft.NET.Sdk.Web">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<TargetFramework>net9.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<NoWarn>$(NoWarn);CA1812</NoWarn>
@@ -15,4 +15,11 @@
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
</ItemGroup>
<!-- A2A dependency -->
<ItemGroup>
<PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
<PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
</ItemGroup>
<!-- A2A dependency -->
</Project>
@@ -16,7 +16,7 @@ namespace AgentWebChat.Web;
/// </summary>
internal sealed class OpenAIChatCompletionsAgentClient(HttpClient httpClient) : AgentClientBase
{
public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
public async override IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
string agentName,
IList<ChatMessage> messages,
string? threadId = null,
@@ -15,7 +15,7 @@ namespace AgentWebChat.Web;
/// </summary>
internal sealed class OpenAIResponsesAgentClient(HttpClient httpClient) : AgentClientBase
{
public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
public async override IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
string agentName,
IList<ChatMessage> messages,
string? threadId = null,
@@ -1,10 +0,0 @@
# .editorconfig
[*.cs]
# See https://github.com/Azure/azure-functions-durable-extension/issues/3173
dotnet_diagnostic.DURABLE0001.severity = none
dotnet_diagnostic.DURABLE0002.severity = none
dotnet_diagnostic.DURABLE0003.severity = none
dotnet_diagnostic.DURABLE0004.severity = none
dotnet_diagnostic.DURABLE0005.severity = none
dotnet_diagnostic.DURABLE0006.severity = none
@@ -1,42 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<AzureFunctionsVersion>v4</AzureFunctionsVersion>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>SingleAgent</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<FrameworkReference Include="Microsoft.AspNetCore.App" />
</ItemGroup>
<!-- Azure Functions packages -->
<ItemGroup>
<PackageReference Include="Microsoft.Azure.Functions.Worker" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -1,37 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.Hosting;
using OpenAI;
// Get the Azure OpenAI endpoint and deployment name from environment variables.
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
// Set up an AI agent following the standard Microsoft Agent Framework pattern.
const string JokerName = "Joker";
const string JokerInstructions = "You are good at telling jokes.";
AIAgent agent = client.GetChatClient(deploymentName).CreateAIAgent(JokerInstructions, JokerName);
// Configure the function app to host the AI agent.
// This will automatically generate HTTP API endpoints for the agent.
using IHost app = FunctionsApplication
.CreateBuilder(args)
.ConfigureFunctionsWebApplication()
.ConfigureDurableAgents(options => options.AddAIAgent(agent))
.Build();
app.Run();
@@ -1,89 +0,0 @@
# Single Agent Sample
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
## Key Concepts Demonstrated
- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
- Registering agents with the Function app and running them using HTTP.
- Conversation management (via session IDs) for isolated interactions.
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
Bash (Linux/macOS/WSL):
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: text/plain" \
-d "Tell me a joke about a pirate."
```
PowerShell:
```powershell
Invoke-RestMethod -Method Post `
-Uri http://localhost:7071/api/agents/Joker/run `
-ContentType text/plain `
-Body "Tell me a joke about a pirate."
```
You can also send JSON requests:
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me a joke about a pirate."}'
```
To continue a conversation, include the `thread_id` in the query string or JSON body:
```bash
curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me another one."}'
```
The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
```text
Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
```
The expected `application/json` output will look something like:
```json
{
"status": 200,
"thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
"response": {
"Messages": [
{
"AuthorName": "Joker",
"CreatedAt": "2025-11-11T12:00:00.0000000Z",
"Role": "assistant",
"Contents": [
{
"Type": "text",
"Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
}
]
}
],
"Usage": {
"InputTokenCount": 78,
"OutputTokenCount": 36,
"TotalTokenCount": 114
}
}
}
```
@@ -1,8 +0,0 @@
# Default endpoint address for local testing
@authority=http://localhost:7071
### Prompt the agent
POST {{authority}}/api/agents/Joker/run
Content-Type: text/plain
Tell me a joke about a pirate.
@@ -1,20 +0,0 @@
{
"version": "2.0",
"logging": {
"logLevel": {
"Microsoft.Agents.AI.DurableTask": "Information",
"Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
"DurableTask": "Information",
"Microsoft.DurableTask": "Information"
}
},
"extensions": {
"durableTask": {
"hubName": "default",
"storageProvider": {
"type": "AzureManaged",
"connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
}
}
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>"
}
}
@@ -1,42 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<AzureFunctionsVersion>v4</AzureFunctionsVersion>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>AgentOrchestration_Chaining</AssemblyName>
<RootNamespace>AgentOrchestration_Chaining</RootNamespace>
</PropertyGroup>
<ItemGroup>
<FrameworkReference Include="Microsoft.AspNetCore.App" />
</ItemGroup>
<!-- Azure Functions packages -->
<ItemGroup>
<PackageReference Include="Microsoft.Azure.Functions.Worker" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -1,92 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Net;
using System.Text.Json;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Azure.Functions.Worker;
using Microsoft.Azure.Functions.Worker.Http;
using Microsoft.DurableTask;
using Microsoft.DurableTask.Client;
namespace AgentOrchestration_Chaining;
public static class FunctionTriggers
{
public sealed record TextResponse(string Text);
[Function(nameof(RunOrchestrationAsync))]
public static async Task<string> RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context)
{
DurableAIAgent writer = context.GetAgent("WriterAgent");
AgentThread writerThread = writer.GetNewThread();
AgentRunResponse<TextResponse> initial = await writer.RunAsync<TextResponse>(
message: "Write a concise inspirational sentence about learning.",
thread: writerThread);
AgentRunResponse<TextResponse> refined = await writer.RunAsync<TextResponse>(
message: $"Improve this further while keeping it under 25 words: {initial.Result.Text}",
thread: writerThread);
return refined.Result.Text;
}
// POST /singleagent/run
[Function(nameof(StartOrchestrationAsync))]
public static async Task<HttpResponseData> StartOrchestrationAsync(
[HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "singleagent/run")] HttpRequestData req,
[DurableClient] DurableTaskClient client)
{
string instanceId = await client.ScheduleNewOrchestrationInstanceAsync(
orchestratorName: nameof(RunOrchestrationAsync));
HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted);
await response.WriteAsJsonAsync(new
{
message = "Single-agent orchestration started.",
instanceId,
statusQueryGetUri = GetStatusQueryGetUri(req, instanceId),
});
return response;
}
// GET /singleagent/status/{instanceId}
[Function(nameof(GetOrchestrationStatusAsync))]
public static async Task<HttpResponseData> GetOrchestrationStatusAsync(
[HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "singleagent/status/{instanceId}")] HttpRequestData req,
string instanceId,
[DurableClient] DurableTaskClient client)
{
OrchestrationMetadata? status = await client.GetInstanceAsync(
instanceId,
getInputsAndOutputs: true,
req.FunctionContext.CancellationToken);
if (status is null)
{
HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound);
await notFound.WriteAsJsonAsync(new { error = "Instance not found" });
return notFound;
}
HttpResponseData response = req.CreateResponse(HttpStatusCode.OK);
await response.WriteAsJsonAsync(new
{
instanceId = status.InstanceId,
runtimeStatus = status.RuntimeStatus.ToString(),
input = status.SerializedInput is not null ? (object)status.ReadInputAs<JsonElement>() : null,
output = status.SerializedOutput is not null ? (object)status.ReadOutputAs<JsonElement>() : null,
failureDetails = status.FailureDetails
});
return response;
}
private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId)
{
// NOTE: This can be made more robust by considering the value of
// request headers like "X-Forwarded-Host" and "X-Forwarded-Proto".
string authority = $"{req.Url.Scheme}://{req.Url.Authority}";
return $"{authority}/api/singleagent/status/{instanceId}";
}
}
@@ -1,40 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.Hosting;
using OpenAI;
// Get the Azure OpenAI endpoint and deployment name from environment variables.
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
// Single agent used by the orchestration to demonstrate sequential calls on the same thread.
const string WriterName = "WriterAgent";
const string WriterInstructions =
"""
You refine short pieces of text. When given an initial sentence you enhance it;
when given an improved sentence you polish it further.
""";
AIAgent writerAgent = client.GetChatClient(deploymentName).CreateAIAgent(WriterInstructions, WriterName);
using IHost app = FunctionsApplication
.CreateBuilder(args)
.ConfigureFunctionsWebApplication()
.ConfigureDurableAgents(options => options.AddAIAgent(writerAgent))
.Build();
app.Run();
@@ -1,59 +0,0 @@
# Single Agent Orchestration Sample
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that orchestrates sequential calls to a single AI agent using the same conversation thread for context continuity.
## Key Concepts Demonstrated
- Orchestrating multiple interactions with the same agent in a deterministic order
- Using the same `AgentThread` across multiple calls to maintain conversational context
- Durable orchestration with automatic checkpointing and resumption from failures
- HTTP API integration for starting and monitoring orchestrations
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup and function app running, you can test the sample by sending an HTTP request to start the orchestration.
You can use the `demo.http` file to start the orchestration, or a command line tool like `curl` as shown below:
Bash (Linux/macOS/WSL):
```bash
curl -X POST http://localhost:7071/api/singleagent/run
```
PowerShell:
```powershell
Invoke-RestMethod -Method Post -Uri http://localhost:7071/api/singleagent/run
```
The response will be a JSON object that looks something like the following, which indicates that the orchestration has started.
```json
{
"message": "Single-agent orchestration started.",
"instanceId": "86313f1d45fb42eeb50b1852626bf3ff",
"statusQueryGetUri": "http://localhost:7071/api/singleagent/status/86313f1d45fb42eeb50b1852626bf3ff"
}
```
The orchestration will proceed to run the WriterAgent twice in sequence:
1. First, it writes an inspirational sentence about learning
2. Then, it refines the initial output using the same conversation thread
Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the `statusQueryGetUri` URL. The response will be a JSON object that looks something like the following:
```json
{
"failureDetails": null,
"input": null,
"instanceId": "86313f1d45fb42eeb50b1852626bf3ff",
"output": "Learning serves as the key, opening doors to boundless opportunities and a brighter future.",
"runtimeStatus": "Completed"
}
```
@@ -1,3 +0,0 @@
### Start the single-agent orchestration
POST http://localhost:7071/api/singleagent/run
@@ -1,20 +0,0 @@
{
"version": "2.0",
"logging": {
"logLevel": {
"Microsoft.Agents.AI.DurableTask": "Information",
"Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
"DurableTask": "Information",
"Microsoft.DurableTask": "Information"
}
},
"extensions": {
"durableTask": {
"hubName": "default",
"storageProvider": {
"type": "AzureManaged",
"connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
}
}
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>"
}
}
@@ -1,42 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<AzureFunctionsVersion>v4</AzureFunctionsVersion>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>AgentOrchestration_Concurrency</AssemblyName>
<RootNamespace>AgentOrchestration_Concurrency</RootNamespace>
</PropertyGroup>
<ItemGroup>
<FrameworkReference Include="Microsoft.AspNetCore.App" />
</ItemGroup>
<!-- Azure Functions packages -->
<ItemGroup>
<PackageReference Include="Microsoft.Azure.Functions.Worker" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -1,116 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Net;
using System.Text.Json;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Azure.Functions.Worker;
using Microsoft.Azure.Functions.Worker.Http;
using Microsoft.DurableTask;
using Microsoft.DurableTask.Client;
namespace AgentOrchestration_Concurrency;
public static class FunctionsTriggers
{
public sealed record TextResponse(string Text);
[Function(nameof(RunOrchestrationAsync))]
public static async Task<object> RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context)
{
// Get the prompt from the orchestration input
string prompt = context.GetInput<string>() ?? throw new InvalidOperationException("Prompt is required");
// Get both agents
DurableAIAgent physicist = context.GetAgent("PhysicistAgent");
DurableAIAgent chemist = context.GetAgent("ChemistAgent");
// Start both agent runs concurrently
Task<AgentRunResponse<TextResponse>> physicistTask = physicist.RunAsync<TextResponse>(prompt);
Task<AgentRunResponse<TextResponse>> chemistTask = chemist.RunAsync<TextResponse>(prompt);
// Wait for both tasks to complete using Task.WhenAll
await Task.WhenAll(physicistTask, chemistTask);
// Get the results
TextResponse physicistResponse = (await physicistTask).Result;
TextResponse chemistResponse = (await chemistTask).Result;
// Return the result as a structured, anonymous type
return new
{
physicist = physicistResponse.Text,
chemist = chemistResponse.Text,
};
}
// POST /multiagent/run
[Function(nameof(StartOrchestrationAsync))]
public static async Task<HttpResponseData> StartOrchestrationAsync(
[HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "multiagent/run")] HttpRequestData req,
[DurableClient] DurableTaskClient client)
{
// Read the prompt from the request body
string? prompt = await req.ReadAsStringAsync();
if (string.IsNullOrWhiteSpace(prompt))
{
HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest);
await badRequestResponse.WriteAsJsonAsync(new { error = "Prompt is required" });
return badRequestResponse;
}
string instanceId = await client.ScheduleNewOrchestrationInstanceAsync(
orchestratorName: nameof(RunOrchestrationAsync),
input: prompt);
HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted);
await response.WriteAsJsonAsync(new
{
message = "Multi-agent concurrent orchestration started.",
prompt,
instanceId,
statusQueryGetUri = GetStatusQueryGetUri(req, instanceId),
});
return response;
}
// GET /multiagent/status/{instanceId}
[Function(nameof(GetOrchestrationStatusAsync))]
public static async Task<HttpResponseData> GetOrchestrationStatusAsync(
[HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "multiagent/status/{instanceId}")] HttpRequestData req,
string instanceId,
[DurableClient] DurableTaskClient client)
{
OrchestrationMetadata? status = await client.GetInstanceAsync(
instanceId,
getInputsAndOutputs: true,
req.FunctionContext.CancellationToken);
if (status is null)
{
HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound);
await notFound.WriteAsJsonAsync(new { error = "Instance not found" });
return notFound;
}
HttpResponseData response = req.CreateResponse(HttpStatusCode.OK);
await response.WriteAsJsonAsync(new
{
instanceId = status.InstanceId,
runtimeStatus = status.RuntimeStatus.ToString(),
input = status.SerializedInput is not null ? (object)status.ReadInputAs<JsonElement>() : null,
output = status.SerializedOutput is not null ? (object)status.ReadOutputAs<JsonElement>() : null,
failureDetails = status.FailureDetails
});
return response;
}
private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId)
{
// NOTE: This can be made more robust by considering the value of
// request headers like "X-Forwarded-Host" and "X-Forwarded-Proto".
string authority = $"{req.Url.Scheme}://{req.Url.Authority}";
return $"{authority}/api/multiagent/status/{instanceId}";
}
}
@@ -1,45 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.Hosting;
using OpenAI;
// Get the Azure OpenAI endpoint and deployment name from environment variables.
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
// Two agents used by the orchestration to demonstrate concurrent execution.
const string PhysicistName = "PhysicistAgent";
const string PhysicistInstructions = "You are an expert in physics. You answer questions from a physics perspective.";
const string ChemistName = "ChemistAgent";
const string ChemistInstructions = "You are an expert in chemistry. You answer questions from a chemistry perspective.";
AIAgent physicistAgent = client.GetChatClient(deploymentName).CreateAIAgent(PhysicistInstructions, PhysicistName);
AIAgent chemistAgent = client.GetChatClient(deploymentName).CreateAIAgent(ChemistInstructions, ChemistName);
using IHost app = FunctionsApplication
.CreateBuilder(args)
.ConfigureFunctionsWebApplication()
.ConfigureDurableAgents(options =>
{
options
.AddAIAgent(physicistAgent)
.AddAIAgent(chemistAgent);
})
.Build();
app.Run();
@@ -1,65 +0,0 @@
# Multi-Agent Concurrent Orchestration Sample
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create an Azure Functions app that orchestrates concurrent execution of multiple AI agents, each with specialized expertise, to provide comprehensive answers to complex questions.
## Key Concepts Demonstrated
- Multi-agent orchestration with specialized AI agents (physics and chemistry)
- Concurrent execution using the fan-out/fan-in pattern for improved performance and distributed processing
- Response aggregation from multiple agents into a unified result
- Durable orchestration with automatic checkpointing and resumption from failures
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup and function app running, you can test the sample by sending an HTTP request with a custom prompt to the orchestration.
You can use the `demo.http` file to send a message to the agents, or a command line tool like `curl` as shown below:
Bash (Linux/macOS/WSL):
```bash
curl -X POST http://localhost:7071/api/multiagent/run \
-H "Content-Type: text/plain" \
-d "What is temperature?"
```
PowerShell:
```powershell
Invoke-RestMethod -Method Post `
-Uri http://localhost:7071/api/multiagent/run `
-ContentType text/plain `
-Body "What is temperature?"
```
The response will be a JSON object that looks something like the following, which indicates that the orchestration has started.
```json
{
"message": "Multi-agent concurrent orchestration started.",
"prompt": "What is temperature?",
"instanceId": "e7e29999b6b8424682b3539292afc9ed",
"statusQueryGetUri": "http://localhost:7071/api/multiagent/status/e7e29999b6b8424682b3539292afc9ed"
}
```
The orchestration will run both the PhysicistAgent and ChemistAgent concurrently, asking them the same question. Their responses will be combined to provide a comprehensive answer covering both physical and chemical aspects.
Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the `statusQueryGetUri` URL. The response will be a JSON object that looks something like the following:
```json
{
"failureDetails": null,
"input": "What is temperature?",
"instanceId": "e7e29999b6b8424682b3539292afc9ed",
"output": {
"physicist": "Temperature is a measure of the average kinetic energy of particles in a system. From a physics perspective, it represents the thermal energy and determines the direction of heat flow between objects.",
"chemist": "From a chemistry perspective, temperature is crucial for chemical reactions as it affects reaction rates through the Arrhenius equation. It influences the equilibrium position of reversible reactions and determines the physical state of substances."
},
"runtimeStatus": "Completed"
}
```
@@ -1,5 +0,0 @@
### Start the multi-agent concurrent orchestration
POST http://localhost:7071/api/multiagent/run
Content-Type: text/plain
What is temperature?
@@ -1,20 +0,0 @@
{
"version": "2.0",
"logging": {
"logLevel": {
"Microsoft.Agents.AI.DurableTask": "Information",
"Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
"DurableTask": "Information",
"Microsoft.DurableTask": "Information"
}
},
"extensions": {
"durableTask": {
"hubName": "default",
"storageProvider": {
"type": "AzureManaged",
"connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
}
}
}
}
@@ -1,10 +0,0 @@
{
"IsEncrypted": false,
"Values": {
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>"
}
}
@@ -1,42 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<AzureFunctionsVersion>v4</AzureFunctionsVersion>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>AgentOrchestration_Conditionals</AssemblyName>
<RootNamespace>AgentOrchestration_Conditionals</RootNamespace>
</PropertyGroup>
<ItemGroup>
<FrameworkReference Include="Microsoft.AspNetCore.App" />
</ItemGroup>
<!-- Azure Functions packages -->
<ItemGroup>
<PackageReference Include="Microsoft.Azure.Functions.Worker" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -1,143 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Net;
using System.Text.Json;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Azure.Functions.Worker;
using Microsoft.Azure.Functions.Worker.Http;
using Microsoft.DurableTask;
using Microsoft.DurableTask.Client;
namespace AgentOrchestration_Conditionals;
public static class FunctionTriggers
{
[Function(nameof(RunOrchestrationAsync))]
public static async Task<string> RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context)
{
// Get the email from the orchestration input
Email email = context.GetInput<Email>() ?? throw new InvalidOperationException("Email is required");
// Get the spam detection agent
DurableAIAgent spamDetectionAgent = context.GetAgent("SpamDetectionAgent");
AgentThread spamThread = spamDetectionAgent.GetNewThread();
// Step 1: Check if the email is spam
AgentRunResponse<DetectionResult> spamDetectionResponse = await spamDetectionAgent.RunAsync<DetectionResult>(
message:
$"""
Analyze this email for spam content and return a JSON response with 'is_spam' (boolean) and 'reason' (string) fields:
Email ID: {email.EmailId}
Content: {email.EmailContent}
""",
thread: spamThread);
DetectionResult result = spamDetectionResponse.Result;
// Step 2: Conditional logic based on spam detection result
if (result.IsSpam)
{
// Handle spam email
return await context.CallActivityAsync<string>(nameof(HandleSpamEmail), result.Reason);
}
// Generate and send response for legitimate email
DurableAIAgent emailAssistantAgent = context.GetAgent("EmailAssistantAgent");
AgentThread emailThread = emailAssistantAgent.GetNewThread();
AgentRunResponse<EmailResponse> emailAssistantResponse = await emailAssistantAgent.RunAsync<EmailResponse>(
message:
$"""
Draft a professional response to this email. Return a JSON response with a 'response' field containing the reply:
Email ID: {email.EmailId}
Content: {email.EmailContent}
""",
thread: emailThread);
EmailResponse emailResponse = emailAssistantResponse.Result;
return await context.CallActivityAsync<string>(nameof(SendEmail), emailResponse.Response);
}
[Function(nameof(HandleSpamEmail))]
public static string HandleSpamEmail([ActivityTrigger] string reason)
{
return $"Email marked as spam: {reason}";
}
[Function(nameof(SendEmail))]
public static string SendEmail([ActivityTrigger] string message)
{
return $"Email sent: {message}";
}
// POST /spamdetection/run
[Function(nameof(StartOrchestrationAsync))]
public static async Task<HttpResponseData> StartOrchestrationAsync(
[HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "spamdetection/run")] HttpRequestData req,
[DurableClient] DurableTaskClient client)
{
// Read the email from the request body
Email? email = await req.ReadFromJsonAsync<Email>();
if (email is null || string.IsNullOrWhiteSpace(email.EmailContent))
{
HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest);
await badRequestResponse.WriteAsJsonAsync(new { error = "Email with content is required" });
return badRequestResponse;
}
string instanceId = await client.ScheduleNewOrchestrationInstanceAsync(
orchestratorName: nameof(RunOrchestrationAsync),
input: email);
HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted);
await response.WriteAsJsonAsync(new
{
message = "Spam detection orchestration started.",
emailId = email.EmailId,
instanceId,
statusQueryGetUri = GetStatusQueryGetUri(req, instanceId),
});
return response;
}
// GET /spamdetection/status/{instanceId}
[Function(nameof(GetOrchestrationStatusAsync))]
public static async Task<HttpResponseData> GetOrchestrationStatusAsync(
[HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "spamdetection/status/{instanceId}")] HttpRequestData req,
string instanceId,
[DurableClient] DurableTaskClient client)
{
OrchestrationMetadata? status = await client.GetInstanceAsync(
instanceId,
getInputsAndOutputs: true,
req.FunctionContext.CancellationToken);
if (status is null)
{
HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound);
await notFound.WriteAsJsonAsync(new { error = "Instance not found" });
return notFound;
}
HttpResponseData response = req.CreateResponse(HttpStatusCode.OK);
await response.WriteAsJsonAsync(new
{
instanceId = status.InstanceId,
runtimeStatus = status.RuntimeStatus.ToString(),
input = status.SerializedInput is not null ? (object)status.ReadInputAs<JsonElement>() : null,
output = status.SerializedOutput is not null ? (object)status.ReadOutputAs<JsonElement>() : null,
failureDetails = status.FailureDetails
});
return response;
}
private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId)
{
// NOTE: This can be made more robust by considering the value of
// request headers like "X-Forwarded-Host" and "X-Forwarded-Proto".
string authority = $"{req.Url.Scheme}://{req.Url.Authority}";
return $"{authority}/api/spamdetection/status/{instanceId}";
}
}
@@ -1,38 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json.Serialization;
namespace AgentOrchestration_Conditionals;
/// <summary>
/// Represents an email input for spam detection and response generation.
/// </summary>
public sealed class Email
{
[JsonPropertyName("email_id")]
public string EmailId { get; set; } = string.Empty;
[JsonPropertyName("email_content")]
public string EmailContent { get; set; } = string.Empty;
}
/// <summary>
/// Represents the result of spam detection analysis.
/// </summary>
public sealed class DetectionResult
{
[JsonPropertyName("is_spam")]
public bool IsSpam { get; set; }
[JsonPropertyName("reason")]
public string Reason { get; set; } = string.Empty;
}
/// <summary>
/// Represents a generated email response.
/// </summary>
public sealed class EmailResponse
{
[JsonPropertyName("response")]
public string Response { get; set; } = string.Empty;
}
@@ -1,48 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.Hosting;
using OpenAI;
// Get the Azure OpenAI endpoint and deployment name from environment variables.
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
// Two agents used by the orchestration to demonstrate conditional logic.
const string SpamDetectionName = "SpamDetectionAgent";
const string SpamDetectionInstructions = "You are a spam detection assistant that identifies spam emails.";
const string EmailAssistantName = "EmailAssistantAgent";
const string EmailAssistantInstructions = "You are an email assistant that helps users draft responses to emails with professionalism.";
AIAgent spamDetectionAgent = client.GetChatClient(deploymentName)
.CreateAIAgent(SpamDetectionInstructions, SpamDetectionName);
AIAgent emailAssistantAgent = client.GetChatClient(deploymentName)
.CreateAIAgent(EmailAssistantInstructions, EmailAssistantName);
using IHost app = FunctionsApplication
.CreateBuilder(args)
.ConfigureFunctionsWebApplication()
.ConfigureDurableAgents(options =>
{
options
.AddAIAgent(spamDetectionAgent)
.AddAIAgent(emailAssistantAgent);
})
.Build();
app.Run();
@@ -1,113 +0,0 @@
# Multi-Agent Orchestration with Conditionals Sample
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a multi-agent orchestration workflow that includes conditional logic. The workflow implements a spam detection system that processes emails and takes different actions based on whether the email is identified as spam or legitimate.
## Key Concepts Demonstrated
- Multi-agent orchestration with conditional logic and different processing paths
- Spam detection using AI agent analysis
- Structured output from agents for reliable processing
- Activity functions for integrating non-agentic workflow actions
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup and function app running, you can test the sample by sending an HTTP request with email data to the orchestration.
You can use the `demo.http` file to send email data to the agents, or a command line tool like `curl` as shown below:
Bash (Linux/macOS/WSL):
```bash
# Test with a legitimate email
curl -X POST http://localhost:7071/api/spamdetection/run \
-H "Content-Type: application/json" \
-d '{
"email_id": "email-001",
"email_content": "Hi John, I hope you are doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!"
}'
# Test with a spam email
curl -X POST http://localhost:7071/api/spamdetection/run \
-H "Content-Type: application/json" \
-d '{
"email_id": "email-002",
"email_content": "URGENT! You have won $1,000,000! Click here now to claim your prize! Limited time offer! Do not miss out!"
}'
```
PowerShell:
```powershell
# Test with a legitimate email
$body = @{
email_id = "email-001"
email_content = "Hi John, I hope you are doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!"
} | ConvertTo-Json
Invoke-RestMethod -Method Post `
-Uri http://localhost:7071/api/spamdetection/run `
-ContentType application/json `
-Body $body
# Test with a spam email
$body = @{
email_id = "email-002"
email_content = "URGENT! You have won $1,000,000! Click here now to claim your prize! Limited time offer! Do not miss out!"
} | ConvertTo-Json
Invoke-RestMethod -Method Post `
-Uri http://localhost:7071/api/spamdetection/run `
-ContentType application/json `
-Body $body
```
The response from either input will be a JSON object that looks something like the following, which indicates that the orchestration has started.
```json
{
"message": "Spam detection orchestration started.",
"emailId": "email-001",
"instanceId": "555dbbb63f75406db2edf9f1f092de95",
"statusQueryGetUri": "http://localhost:7071/api/spamdetection/status/555dbbb63f75406db2edf9f1f092de95"
}
```
The orchestration will:
1. Analyze the email content using the SpamDetectionAgent
2. If spam: Mark the email as spam with a reason
3. If legitimate: Use the EmailAssistantAgent to draft a professional response and "send" it
Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the `statusQueryGetUri` URL. The response for the legitimate email will be a JSON object that looks something like the following:
```json
{
"failureDetails": null,
"input": {
"email_content": "Hi John, I hope you're doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!",
"email_id": "email-001"
},
"instanceId": "555dbbb63f75406db2edf9f1f092de95",
"output": "Email sent: Subject: Re: Follow-Up on Quarterly Report\n\nHi [Recipient's Name],\n\nI hope this message finds you well. Thank you for your patience. I will ensure the updated figures for the quarterly report are sent to you by Friday.\n\nIf you have any further questions or need additional information, please feel free to reach out.\n\nBest regards,\n\nJohn",
"runtimeStatus": "Completed"
}
```
The response for the spam email will be a JSON object that looks something like the following, which indicates that the email was marked as spam:
```json
{
"failureDetails": null,
"input": {
"email_content": "URGENT! You have won $1,000,000! Click here now to claim your prize! Limited time offer! Do not miss out!",
"email_id": "email-002"
},
"instanceId": "555dbbb63f75406db2edf9f1f092de95",
"output": "Email marked as spam: The email contains misleading claims of winning a large sum of money and encourages immediate action, which are common characteristics of spam.",
"runtimeStatus": "Completed"
}
```

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