Files
wehub-resource-sync db620d33df
dotnet-build-and-test / dotnet-build (Debug, windows-latest, net9.0) (push) Blocked by required conditions
CodeQL / Analyze (csharp) (push) Waiting to run
CodeQL / Analyze (python) (push) Waiting to run
dotnet-build-and-test / paths-filter (push) Waiting to run
dotnet-build-and-test / dotnet-build (Release, ubuntu-latest, net10.0) (push) Blocked by required conditions
dotnet-build-and-test / dotnet-build (Release, ubuntu-latest, net8.0) (push) Blocked by required conditions
dotnet-build-and-test / dotnet-build (Release, windows-latest, net472) (push) Blocked by required conditions
dotnet-build-and-test / dotnet-test (Release, integration, true, ubuntu-latest, net10.0) (push) Blocked by required conditions
dotnet-build-and-test / dotnet-test (Release, integration, true, windows-latest, net472) (push) Blocked by required conditions
dotnet-build-and-test / dotnet-foundry-hosted-it (push) Blocked by required conditions
dotnet-build-and-test / dotnet-test-functions (push) Blocked by required conditions
dotnet-build-and-test / dotnet-build-and-test-check (push) Blocked by required conditions
dotnet-build-and-test / Integration Test Report (push) Blocked by required conditions
chore: import upstream snapshot with attribution
2026-07-13 13:39:25 +08:00
..

Agent with Custom Implementation

This sample demonstrates how to create a fully custom agent implementation without relying on external AI services.

Overview

The sample creates a simple "parrot" agent that:

  • Converts user input to uppercase
  • Supports both synchronous and streaming invocation modes
  • Demonstrates the complete implementation requirements for a custom agent

This pattern is useful when you need to:

  • Integrate with custom AI models or services
  • Create rule-based agents without AI
  • Build agents with specific custom logic