AgentScope Doc
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Tutorial

  • Quick Start
  • Message
  • Build Agent
  • Build Conversation

FQA

  • FQA

Task Guides

  • Model APIs
  • Prompt Formatting
  • Structured Output
  • Streaming Mode
  • Built-in Agents
  • MultiModality
  • Visual Interface
  • Configuring and Monitoring
  • Tools
  • MCP
  • Retrieval Augmentation Generation (RAG)
  • Hooks
  • Distribution
  • System Prompt Optimization
  • Web Browser Control
  • Low-code Development

Examples

  • Examples
    • Configuration
    • Agent
    • Game
    • Conversation

Applications

  • SWE-Bench

API Docs

  • agentscope
  • agentscope.message
  • agentscope.models
  • agentscope.agents
  • agentscope.memory
  • agentscope.parsers
  • agentscope.rag
  • agentscope.service
  • agentscope.prompt
  • agentscope.tokens
  • agentscope.exception
AgentScope Doc
  • Examples
  • View page source

Note

Go to the end to download the full example code.

Examples

Configuration

LLM Configuration
LLM Configuration
Configure different LLM APIs in AgentScope.
Deploy LLaMA3 Locally
Deploy LLaMA3 Locally
Setup LLaMA3 model service locally with AgentScope. Both CPU and GPU are supported.

Agent

Web Browser Agent
Web Browser Agent
Build a web browser control agent in AgentScope.
RAG Agent
RAG Agent
How to enable RAG when chatting with agents in AgentScope.
Distributed Agent
Distributed Agent
How to setup distributed agent and chat with it in AgentScope.

Game

Werewolf Game
Werewolf Game
Six LLM-empowered agents play a Werewolf game.
Gomoku Game
Gomoku Game
Agents play Gomoku game against each other.

Conversation

Basic Conversation
Basic Conversation
Basic conversation between user and agent.
Conversation with @ mentions
Conversation with @ mentions
During conversation, use @ mentions to refer to the next agent to speak.

Total running time of the script: (0 minutes 0.000 seconds)

Download Jupyter notebook: examples.ipynb

Download Python source code: examples.py

Download zipped: examples.zip

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