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bitcoin ai agent

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Basic Information

This repository provides an AI agent designed to fetch current Bitcoin prices denominated in Indian Rupees (INR) and to interact with users who may ask in any language while returning responses in English. It integrates a large language model, specifically LLaMA 3.1 8B from TogetherAI, and a dedicated crypto tool for obtaining live price data. The agent includes prompt engineering guidelines, stores conversational context, and demonstrates a function-calling pattern to retrieve and present price information. The project includes installation instructions (requirements.txt and a .env example), an interactive sample conversation, and describes caching and rate-limiting behavior to limit API calls. The README documents assumptions and limitations such as response length, lack of streaming, and basic translation handled by the model.

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App URL
https://github.com/milojeBtc/bitcoin-ai-agent
Github Repository
https://github.com/milojeBtc/bitcoin-ai-agent/blob/main/README.md

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App Details

Features
Fetches Bitcoin price in INR via a dedicated crypto tool and returns the result through the assistant. Implements time-based caching and rate-limiting to avoid redundant API calls with a cache window of up to five minutes. Accepts user input in any language and relies on the multilingual capability of LLaMA to understand queries but always responds in English. Uses LLaMA 3.1 8B from TogetherAI as the model backend. Demonstrates prompt engineering patterns, tool integration and function-call handling, and stores user and assistant messages for context. Includes setup details: cloning, pip install -r requirements.txt, and .env configuration. Notes lack of streaming and a short response token budget assumption.
Use Cases
The repository is useful as a practical, small-scale assistant for quickly checking Bitcoin prices in INR while reducing API usage through caching and rate limits. It serves as a reference implementation for integrating a language model with an external price-fetching tool and for implementing function-call workflows, prompt guidelines, and basic multilingual handling. Developers can use it as a template to build or extend crypto-focused assistants, add additional markets or currencies, or improve translation and streaming behavior. It also highlights operational trade-offs: responses are produced only in English, cached data may be up to five minutes old, and there is no streaming support, which informs realistic expectations for responsiveness and accuracy.

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