This agent provides real-time pricing and Blockchain native data by pulling data from CoinGecko, DefiLlama, and Infura APIs.

This Repo is built upon https://github.com/cliffordattractor/morpheus-data-agent

It currently supports the following metrics:

• balance of wallet (new)
• wallet tx history (new)
• gas fees (new)
• token metadata (new)
• current price of coins
• current price of NFT collections
• market cap
• fully diluted valuation
• total value locked

It is possible to ask questions about assets by referring to them either by their name or their ticker symbol.

This is the recommended way to run the project in order to avoid dependency hell. You will need to build then run:

cd agent

docker build -t agent .

If you are using Apple Silicon then you may experience problems due to the base image not being build for arm64. We have included a separate Dockerfile in order to deal with this issue, run:

docker build . -t agent -f Dockerfile-apple

To run:

docker run --name agent -p 5000:5000 agent

cd agent

pip install -r requirements.txt pip install --no-cache-dir -U llama-cpp-python

Docker exposes an API on port 5000 to communicate with the agent.

     url = 'http://127.0.0.1:5000/'
     data = {'prompt': "what is the market cap of dogwifhat"}
     response = requests.post(url, json=data)
     print(response.text)

A notebook has been provided to run test queries against the API:

Test Docker.ipynb

To use the API run python agent.py

To use an interactive CLI prompt to test the agent run:

python agent-cli.py

• what is the price of etherum

• price of eth

• what is the market cap of dogwifhat

• mc of wif

• what is the fully diluted valuation of solana

• fdv sol

• what is the total value locked in sushi

• tvl of pendle

This project uses the openhermes-2.5-mistral-7b GGUF model and performs well on a modern laptop using only CPU.

The CoinGecko search API is used to find the asset that is being referenced. In case multiple matching assets are found, the agent will select the one with the largest market cap

When consuming this API as part of a larger agent, care should be taken to ensure that responses do not pass thorugh an LLM that hallucinates the number before the response is sent to the user.