A powerful collection of 100+ APIs across categories to help you build apps, tools, and projects.
MCP is an open-source standard that enhances interaction between AI systems and various data sources, improving usability, response quality, and security.
GitHub Models now allows developers to retrieve structured JSON responses from models directly in the UI, improving integration with applications and workflows. Supported models include OpenAI (except for o1-mini and o1-preview) and Mistral models.
Simple, unified interface to multiple Generative AI providers, supporting various providers including OpenAI, Anthropic, Azure, Google, AWS, Groq, Mistral, HuggingFace, and Ollama. It aims to facilitate the use of multiple LLMs with a standardized interface similar to OpenAI’s.
Daniel Mangum describes how to host a website on Bluesky by leveraging the AT Protocol and Personal Data Server (PDS) APIs, detailing the process and underlying mechanics.
Explore how LocalStack serves as a drop-in replacement for AWS, allowing developers to test and develop AWS services locally.
LiteLLM is a library to deploy and manage LLM (Large Language Model) APIs using a standardized format. It supports multiple LLM providers, includes proxy server features for load balancing and cost tracking, and offers various integrations for logging and observability.
This page provides documentation for the rerank API, including endpoints, request parameters, and response formats.
This repository contains the Llama Stack API specifications as well as API Providers and Llama Stack Distributions. The Llama Stack aims to standardize the building blocks needed for generative AI applications across various development stages.
It includes API specifications and providers for the Llama Stack, which aims to standardize components needed for developing generative AI applications. The stack includes APIs for Inference, Safety, Memory, Agentic System, Evaluation, Post Training, Synthetic Data Generation, and Reward Scoring. Providers offer actual implementations for these APIs, either through open-source libraries or remote REST services.
It includes API specifications and providers for the Llama Stack, which aims to standardize components needed for developing generative AI applications. The stack includes APIs for Inference, Safety, Memory, Agentic System, Evaluation, Post Training, Synthetic Data Generation, and Reward Scoring. Providers offer actual implementations for these APIs, either through open-source libraries or remote REST services.
The article provides an overview of 12 essential Web APIs every developer should know, including Storage API, Payment Request API, DOM API, HTML Sanitizer API, Canvas API, History API, Clipboard API, Fullscreen API, FormData API, Fetch API, Drag and Drop API, and Geolocation API. Each API is explained with code examples.
