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Configuration of third-party chat applications to use a custom API endpoint and key for AI model access.
Distinct from Third-Party API Integrations: Distinct from Third-Party API Integrations: focuses on connecting chat apps to AI APIs via base URL and key, not general external service integration.
Explore 4 awesome GitHub repositories matching web development · Chat API Integrations. Refine with filters or upvote what's useful.
Spring AI is an application framework for Java that provides a portable, fluent API for integrating AI models, tools, and vector stores into applications. It wraps multiple AI providers behind a common interface, allowing developers to switch between chat, embedding, image, and speech models without changing application code. The framework includes a chainable chat client API similar to WebClient or RestClient, supports both synchronous and streaming interactions, and offers structured output conversion that transforms unstructured AI responses into strongly-typed Java objects. The framework
Offers a fluent, idiomatic API for interacting with chat models, similar to WebClient and RestClient.
This project is an API proxy that provides free and paid access to ChatGPT models through an OpenAI-compatible endpoint. It acts as a reverse proxy, routing requests to ChatGPT while maintaining full compatibility with OpenAI's SDK interface, allowing any application or tool that supports a custom base URL and API key to connect. The service offers a free tier that provides access to ChatGPT models for chat, image generation, and voice dialogue without requiring an official subscription, along with a paid tier that unlocks over 130 OpenAI models including GPT-4 with lower latency and reduced
Enables third-party chat apps, desktop tools, and web UIs to use ChatGPT by configuring a custom API endpoint and key.
Poml is a prompt management framework and templating engine designed for authoring, versioning, and rendering structured prompts for large language models. It uses a semantic markup language to organize prompts into reusable templates, combining them with dynamic context and data to generate formatted inputs. The system distinguishes itself by decoupling core prompt logic from final presentation through a stylesheet-based approach. It provides a dedicated JSON schema output generator to enforce strict, machine-parsable model responses and a configuration interface for managing function tool s
Converts structured prompt files into dictionaries containing messages and runtime parameters compatible with chat completion APIs.
chat2api is a web-to-API bridge and proxy that converts web-based chat sessions into a standardized API format. This allows web accounts to be used programmatically within third-party client applications. The system includes a multi-account rotator that distributes requests across a pool of authentication tokens using random or sequential polling to bypass rate limits. It also functions as a multimodal API proxy, translating base64 or URL-encoded images and files into formats compatible with web-based chat interfaces. The project manages the full lifecycle of session tokens, featuring statef
Converts web-based chat sessions into a standard API for use in third-party applications.