https://github.com/ashot72/coinmarketcap-langgraph-js

LangGraph JS app based on CoinMarketCap API
https://github.com/ashot72/coinmarketcap-langgraph-js

chatgpt chatgpt-api coinmarketcap coinmarketcap-api hitl human-in-the-loop langchain langchain-js langgraph langgraph-js langgraph-tools langsmith langsmith-tracing llm

Last synced: 3 days ago
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LangGraph JS app based on CoinMarketCap API

• Host: GitHub
• URL: https://github.com/ashot72/coinmarketcap-langgraph-js
• Owner: Ashot72
• Created: 2024-11-16T15:20:00.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-17T09:32:56.000Z (2 months ago)
• Last Synced: 2024-12-02T17:58:38.613Z (about 2 months ago)
• Topics: chatgpt, chatgpt-api, coinmarketcap, coinmarketcap-api, hitl, human-in-the-loop, langchain, langchain-js, langgraph, langgraph-js, langgraph-tools, langsmith, langsmith-tracing, llm
• Language: TypeScript
• Homepage:
• Size: 2.58 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CoinMarketCap LangGraph JS

I have built an application where you can ask questions about cryptocurrencies to an LLM and receive replies using LangGraph.js

[LangGraph.js](https://langchain-ai.github.io/langgraphjs/) is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits; cycles, controllability, and persistence.

![graph image](https://raw.githubusercontent.com/Ashot72/CoinMarketCap-LangGraph-JS/refs/heads/main/public/CoinMarketCap_graph.png)

In this app, we created a LangGraph workflow using built-in and custom tools integrated with the [CoinMarketCap API](https://coinmarketcap.com/api/documentation/v1/#section/Authentication/). We defined our own states with the MessageAnnotation. The workflow is dynamically interrupted, as the app follows a human-in-the-loop (HITL) approach, requiring human intervention before proceeding with certain tasks.

We add tracing in [LangSmith](https://www.langchain.com/langsmith) to monitor model performance, trace execution flows, and evaluate LLM interactions, ensuring they operate efficiently and meet expectations.

To get started.

```

       # Clone the repository

         git clone https://github.com/Ashot72/CoinMarketCap-LangGraph-JS

         cd CoinMarketCap-LangGraph-JS

       # Create the .env file based on the .env.example.txt file and include the respective keys.

       

       # installs dependencies

         npm install

       # to start

         npm start

      

```

Go to [CoinMarketCap LangGraph JS Video](https://youtu.be/faosBOaERnU) page

Go to [CoinMarketCap LangGraph JS Description](https://ashot72.github.io/CoinMarketCap-LangGraph-JS/doc.html) page