- Delete all launchSettings.json files (port 8088 now comes from ASPNETCORE_URLS in .env)
- Add DotNetEnv to Hosted-Invocations-EchoAgent so it loads .env like the responses samples
- Create .env.example for EchoAgent with ASPNETCORE_URLS and ASPNETCORE_ENVIRONMENT
- Add AGENT_NAME to ChatClientAgent and FoundryAgent .env.example (required by those samples)
- Add AZURE_BEARER_TOKEN=DefaultAzureCredential to all .env.example files
- Update DevTemporaryTokenCredential in all 6 samples to treat the sentinel value
as unavailable, allowing ChainedTokenCredential to fall through to DefaultAzureCredential
- Update EchoAgent README with Configuration section
Align dotnet hosted agent samples with the Python side (PR #5281) by
reorganizing the directory structure:
- Remove HostedAgentsV1 entirely (old API pattern)
- Split HostedAgentsV2 into invocations/ and responses/ based on protocol
- Move Using-Samples accordingly (SimpleAgent to responses, SimpleInvocationsAgent to invocations)
- Update slnx with new project paths and add previously missing invocations projects
- Update README cd paths from HostedAgentsV2 to invocations or responses
- Rename .env.local to .env.example to match Python naming convention
- Fix format violations in newly included invocations projects
Add Hosted-Invocations-EchoAgent: a minimal echo agent hosted via the
Invocations protocol (POST /invocations) using AddInvocationsServer and
MapInvocationsServer, bridged to an Agent Framework AIAgent through a
custom InvocationHandler.
Add SimpleInvocationsAgent: a console REPL client that wraps HttpClient
calls to the /invocations endpoint in a custom InvocationsAIAgent,
demonstrating programmatic consumption of the Invocations protocol.
Both samples default to port 8088 for consistency with other hosted
agent samples.
Demonstrates two MCP integration layers in a single hosted agent:
- Client-side MCP: McpClient connects to Microsoft Learn, agent handles
tool invocations locally (docs_search, code_sample_search, docs_fetch)
- Server-side MCP: HostedMcpServerTool delegates tool discovery and
invocation to the LLM provider (Responses API), no local connection
Includes DevTemporaryTokenCredential for Docker local debugging,
Dockerfile.contributor for ProjectReference builds, and the openai/v1
route mapping for AIProjectClient compatibility in Development mode.
Demonstrates two MCP integration layers in a single hosted agent:
- Client-side MCP: McpClient connects to Microsoft Learn, agent handles
tool invocations locally (docs_search, code_sample_search, docs_fetch)
- Server-side MCP: HostedMcpServerTool delegates tool discovery and
invocation to the LLM provider (Responses API), no local connection
Includes DevTemporaryTokenCredential for Docker local debugging,
Dockerfile.contributor for ProjectReference builds, and the openai/v1
route mapping for AIProjectClient compatibility in Development mode.
Roger Barreto
alliscodeandCopilot