After runningfern generate, you can locate the auto-generated FastAPI and Pydantic code in thebackend/src/fern_fastapi_starter/api/generateddirectory. Inside this directory, you’ll find the necessary files, in
FastMCP enhances security through FastAPI middleware, allowing developers to implement authentication tokens, rate limiting, or OAuth2 integration to control access. Input validation ensures tools and resources handle data securely, while ctx.log() enables auditing and monitoring of suspicious activity, pr...
Enter Your OpenAI API Key: Input your OpenAI API key to enable querying the OpenAI API. This step is crucial for the app to function correctly as it relies on the OpenAI API for generating embeddings and enhancing search results. Ask a Question: Submit a query, and...
Simple Hero API with FastAPI FastAPI Response Model with SQLModel Multiple Models with FastAPI Read One Model with FastAPI Read Heroes with Limit and Offset with FastAPI Update Data with FastAPI Update with Extra Data (Hashed Passwords) with FastAPI Delete Data with FastAPI Session with FastAPI Depe...
This project provides a production-grade API to create and manage tokens on the Solana blockchain using the Pump.fun platform. Built with FastAPI, it offers endpoints for creating tokens, buying tokens, and performing both actions together. - The-Swarm-C
› Python (FastAPI) ✔ Do you want to use LlamaCloud services?… No / Yes ✔ Please provide your LlamaCloud API key (leave blank to skip): … ✔ Please provide your OpenAI API key (leave blank to skip): …?How would you like to proceed?› - Use arrow-keys. Return to ...
An interactive CLI to create a Client-Engineering-Style application with FastAPI, React, and modern full-stack features. Get Started by running npm create cen-app@latest The Client Engineering StackThe stack is focused on simplicity, modularity, and enterprise-ready features. The CLI helps you ...
Checkoutthe docsfor more examples i.e. generating sitemaps or using domonic with server frameworks like flask, django, sanic, fastapi and others. There's also several useage examples in the repo so pull and have a look. Join-In Feel free to contribute if you find it useful. (I'd be ...
If you require a bit more control and customization than what you get with off-the-shelf chatbots, your next option is usually a prompt-based chatbot. You can access such a chatbot either through an API or by using the chatbot’s platform directly. Then, you will add predefined prompts ...
Before using the vectorstore at all, we need to load some data and initialize an embedding model. We want to use OpenAIEmbeddings so we have to get the OpenAI API Key. importos importgetpass os.environ['OPENAI_API_KEY']=getpass.getpass('OpenAI API Key:') ...