Examples by Notebook
Notebooks
Examples
- Examples by Category
- Examples by Notebook
- Notebooks
- Using RetrieveChat Powered by MongoDB Atlas for Retrieve Augmented Code Generation and Question Answering
- Using RetrieveChat Powered by PGVector for Retrieve Augmented Code Generation and Question Answering
- Using RetrieveChat with Qdrant for Retrieve Augmented Code Generation and Question Answering
- Agent Tracking with AgentOps
- AgentOptimizer: An Agentic Way to Train Your LLM Agent
- Task Solving with Code Generation, Execution and Debugging
- Assistants with Azure Cognitive Search and Azure Identity
- CaptainAgent
- Usage tracking with AutoGen
- Agent Chat with custom model loading
- Agent Chat with Multimodal Models: DALLE and GPT-4V
- Use AutoGen in Databricks with DBRX
- Auto Generated Agent Chat: Task Solving with Provided Tools as Functions
- Task Solving with Provided Tools as Functions (Asynchronous Function Calls)
- Writing a software application using function calls
- Currency Calculator: Task Solving with Provided Tools as Functions
- Groupchat with Llamaindex agents
- Group Chat
- Group Chat with Retrieval Augmented Generation
- Group Chat with Customized Speaker Selection Method
- FSM - User can input speaker transition constraints
- Perform Research with Multi-Agent Group Chat
- StateFlow: Build Workflows through State-Oriented Actions
- Group Chat with Coder and Visualization Critic
- Using Guidance with AutoGen
- Auto Generated Agent Chat: Task Solving with Code Generation, Execution, Debugging & Human Feedback
- Generate Dalle Images With Conversable Agents
- Auto Generated Agent Chat: Function Inception
- Auto Generated Agent Chat: Task Solving with Langchain Provided Tools as Functions
- Engaging with Multimodal Models: GPT-4V in AutoGen
- Agent Chat with Multimodal Models: LLaVA
- Runtime Logging with AutoGen
- Agent with memory using Mem0
- Solving Multiple Tasks in a Sequence of Async Chats
- Solving Multiple Tasks in a Sequence of Chats
- Nested Chats for Tool Use in Conversational Chess
- Conversational Chess using non-OpenAI clients
- Solving Complex Tasks with A Sequence of Nested Chats
- Solving Complex Tasks with Nested Chats
- OptiGuide with Nested Chats in AutoGen
- Chat with OpenAI Assistant using function call in AutoGen: OSS Insights for Advanced GitHub Data Analysis
- Auto Generated Agent Chat: Group Chat with GPTAssistantAgent
- RAG OpenAI Assistants in AutoGen
- OpenAI Assistants in AutoGen
- Auto Generated Agent Chat: GPTAssistant with Code Interpreter
- Agent Observability with OpenLIT
- Auto Generated Agent Chat: Collaborative Task Solving with Coding and Planning Agent
- ReasoningAgent - Advanced LLM Reasoning with Multiple Search Strategies
- SocietyOfMindAgent
- SQL Agent for Spider text-to-SQL benchmark
- Interactive LLM Agent Dealing with Data Stream
- Structured output
- WebSurferAgent
- Swarm Orchestration with AG2
- Using a local Telemetry server to monitor a GraphRAG agent
- Trip planning with a FalkorDB GraphRAG agent using a Swarm
- (Legacy) Implement Swarm-style orchestration with GroupChat
- Chatting with a teachable agent
- Making OpenAI Assistants Teachable
- Auto Generated Agent Chat: Teaching AI New Skills via Natural Language Interaction
- Preprocessing Chat History with `TransformMessages`
- Auto Generated Agent Chat: Collaborative Task Solving with Multiple Agents and Human Users
- Translating Video audio using Whisper and GPT-3.5-turbo
- Auto Generated Agent Chat: Solving Tasks Requiring Web Info
- Web Scraping using Apify Tools
- Websockets: Streaming input and output using websockets
- Solving Multiple Tasks in a Sequence of Chats with Different Conversable Agent Pairs
- Demonstrating the `AgentEval` framework using the task of solving math problems as an example
- Agent Chat with Async Human Inputs
- Automatically Build Multi-agent System from Agent Library
- AutoBuild
- A Uniform interface to call different LLMs
- From Dad Jokes To Sad Jokes: Function Calling with GPTAssistantAgent
- Language Agent Tree Search
- Mitigating Prompt hacking with JSON Mode in Autogen
- Using RetrieveChat for Retrieve Augmented Code Generation and Question Answering
- Using Neo4j's graph database with AG2 agents for Question & Answering
- Enhanced Swarm Orchestration with AG2
- Cross-Framework LLM Tool Integration with AG2
- RealtimeAgent in a Swarm Orchestration
- ReasoningAgent - Advanced LLM Reasoning with Multiple Search Strategies
- Application Gallery
Examples by Notebook
Notebooks
This page contains a collection of notebooks that demonstrate how to use
AutoGen. The notebooks are tagged with the topics they cover.
For example, a notebook that demonstrates how to use function calling will
be tagged with tool/function.