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  • AgentChat
  • Core
  • Extensions
  • Studio
  • API Reference
  • 0.2 Docs
  • GitHub
  • Discord
  • Twitter
  • Installation
  • Quick Start

Core Concepts

  • Agent and Multi-Agent Applications
  • Agent Runtime Environments
  • Application Stack
  • Agent Identity and Lifecycle
  • Topic and Subscription

Framework Guide

  • Agent and Agent Runtime
  • Message and Communication
  • Model Clients
  • Tools
  • Logging
  • Open Telemetry
  • Command Line Code Executors
  • Distributed Agent Runtime
  • Component config

Multi-Agent Design Patterns

  • Intro
  • Concurrent Agents
  • Sequential Workflow
  • Group Chat
  • Handoffs
  • Mixture of Agents
  • Multi-Agent Debate
  • Reflection
  • Code Execution

More

  • Cookbook
    • Azure OpenAI with AAD Auth
    • Termination using Intervention Handler
    • User Approval for Tool Execution using Intervention Handler
    • Extracting Results with an Agent
    • OpenAI Assistant Agent
    • Using LangGraph-Backed Agent
    • Using LlamaIndex-Backed Agent
    • Local LLMs with LiteLLM & Ollama
    • Instrumentating your code locally
    • Topic and Subscription Example Scenarios
    • Structured output using GPT-4o models
    • Tracking LLM usage with a logger
  • FAQs
  • API Reference
  • PyPi
  • Source
  • Core
  • Cookbook

Cookbook#

This section contains a collection of recipes that demonstrate how to use the Core API features.

List of recipes#

  • Azure OpenAI with AAD Auth
  • Termination using Intervention Handler
  • User Approval for Tool Execution using Intervention Handler
  • Extracting Results with an Agent
  • OpenAI Assistant Agent
  • Using LangGraph-Backed Agent
  • Using LlamaIndex-Backed Agent
  • Local LLMs with LiteLLM & Ollama
  • Instrumentating your code locally
  • Topic and Subscription Example Scenarios
  • Structured output using GPT-4o models
  • Tracking LLM usage with a logger

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Code Execution

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Azure OpenAI with AAD Auth

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  • List of recipes
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