A FastAPI REST API server built using FastAPI and Agno AI. The server configuration has routes handlers to fetch latest data of the stock tickers. It also interacts with the Agno AI to get the predictions for the stock prices, answers to the queries, and use tools like search, get_stock_data, and get_stock_price.
| FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. | |
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Agno is a lightweight library for building multi-modal Agents. |
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Render is a cloud provider that makes deploying your code as easy as deploying to localhost. You can deploy anything that runs on a single port. |
| Docker is a set of platform as a service products that use OS-level virtualization to deliver software in packages called containers | |
| Redis is a free, open-source, in-memory database that stores data as key-value pairs. It's often used as a cache, message broker, or database for quick responses. |
The backend server can be locally deployed using Docker. Use the following command to build and run the server:
- Build the Docker image
docker-compose build- Run the Docker container
docker-compose up- Access the server
http://localhost:8000/The API documentation is available at the following URL:
http://localhost:8000/docsThe following environment variables are required to run the server:
NEWS_API_KEY: Your News API key for fetching news articles.
REDIS_URL: The URL of the Redis server for caching.
NEBIUS_API_KEY: Your Nebius model API key for AI predictions.
