ai-agents-in-langgraph

this is a note of course ai-agents-in-langgraph by Harrison Chase and Rotem Weiss.

modifications

in first lesson, Harrision used OpenAI client, I used Yi instead which uses exact same API as OpenAI. if you are in China, you can use Yi instead of OpenAI.

langchain hub

where you can find prompt templates. e.g. in lesson 1, Harrison used 'hwchase17/react'.

lesson 2

The LLM model in Lesson 2 is best implemented using GPT, as other large models do not perform well. Additionally, the code needs modification as it is currently compatible with the OpenAI API.

I'll modify this code to adapt other LLMs in future.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
1_ReAct_manual&loop.ipynb		1_ReAct_manual&loop.ipynb
2_LangGraph_components_openai.ipynb		2_LangGraph_components_openai.ipynb
4_persistence&streaming.ipynb		4_persistence&streaming.ipynb
5_interaction.ipynb		5_interaction.ipynb
README.md		README.md