Agent Demo

A Python-based agent demo that utilizes LangGraph and LangSmith to create and monitor agents.

Features

• Agent that can use tools to retrieve and convert web content into a markdown text.
• Uses LangSmith for tracking and monitoring agent runs.

Installation

1. Clone the repository:

git clone https://github.com/jeremy-feng/agent-demo.git
cd agent-demo
python setup.py develop

2. Set up environment variables:

Create a .env file in the project root with several environment variables:

OPENAI_API_BASE=XX
OPENAI_API_KEY=XX
LANGSMITH_API_KEY=XX

Tracking and Monitoring

The agent uses LangSmith for tracking and monitoring agent runs. You can view the runs in the LangSmith UI.

langgraph dev 

This will start up the LangGraph API server locally. If this runs successfully, you should see the LangGraph Studio Web UI running at https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024.

Usage

Here's a simple example of how to use the agent:

from agent_demo import make_summarize_web_agent

# Create the agent
agent = make_summarize_web_agent()

# Run the agent with a URL
result = agent.invoke({"url": "https://langchain-ai.github.io/langgraph"})

# Get the summary
print(result["summary"])

For more detailed examples, check out the examples directory in the repository.

License

This project is licensed under the MIT License - see the LICENSE file for details.