#API Integration

Open WebUI provides an offline, extensible, and feature-rich WebUI supporting multiple LLM runners like Ollama and OpenAI-compatible APIs. Setup is streamlined via Docker or Kubernetes, enhancing API integration across models. The platform offers plugin support, responsive design, and mobile PWA capabilities, along with Markdown, LaTeX, and advanced communication features. Users can build models, integrate Python functions, perform web-related tasks, and utilize image generation, all while ensuring secure, multilingual access with regular updates.

GPT Computer Assistant provides a flexible framework for developing AI assistants across macOS, Windows, and Linux. It includes LLM capabilities, customizable APIs, and seamless Python integration to ensure smooth installation with native scripts. The dynamic API facilitates activity management, making it ideal for developing advanced assistants with voice and device interaction. Check its roadmap for upcoming features enhancing continuous and engaging user interactions.

OpenAIKit is a comprehensive Swift package that ensures secure interactions with the OpenAI API using environment variables for API key management. It supports a wide range of API features such as chat, models, and more, offering structured configurations through HTTPClient and URLSession. Effective error handling is included to maintain application stability, aligning with best security practices in Swift.

The service provides rapid stream output, multi-round conversations, network search, and agent dialogue compatibility. It handles long document interpretation and image OCR with no configuration required, supporting multiple tokens and clearing conversation history. Fully compatible with ChatGPT interfaces, it offers Docker and various deployment options. Note: This reverse API is intended for research and personal use, and stability is not guaranteed.

Explore a curated list of tools and resources for ChatGPT and GPT-3, including APIs, extensions, platform guides, and more. Stay updated with tools for Slack and Google Docs, and explore developer and security applications. Contributions from the community are welcomed.

Discover a wide array of system prompts designed to tailor the interaction styles and behaviors of OpenAI's ChatGPT. These prompts are suitable for developers and general users, offering applications across education, entertainment, and utility sectors. Learn how to use these prompts via API calls or user interfaces to optimize AI responses and enhance user interactions. Community contributions are welcome to drive further innovation under the MIT License.

OpenCopilot provides SaaS applications with a customizable AI assistant that integrates smoothly with existing APIs. It uses advanced language models to decide if API endpoints are needed for user requests, choosing the appropriate endpoints for optimal task execution. It supports bulk API imports via Swagger OpenAPI 3.0 and offers a simple chat integration. OpenCopilot allows for easy implementation and management of client requests with minimal coding effort. Explore the expanding role of AI copilots with this versatile platform.

Interact with major LLM providers including OpenAI and Cohere securely through a robust gateway offering PII scrubbing. Supports multiple models such as GPT and Jurassic-2, promoting easy API interaction via OpenAI's /ChatCompletion. Includes setup guidance for integrating Cohere, OpenAI, and AWS Bedrock APIs. Designed for developers, the project utilizes Poetry and Pyenv for backend, and npm with yarn for frontend dependencies, facilitating a seamless Docker-supported installation.

Provides a solution for translating and dubbing videos across various languages with automated subtitle and voiceover generation. Enables wide support for speech recognition and text-to-speech models such as OpenAI and Google. Facilitates batch processing tasks including audio-visual conversions, subtitle translations, and video merges. Compatible with numerous languages and various operating systems including Windows, MacOS, and Linux. Pre-packaged Windows versions available. Ideal for developers looking for integration with video translation APIs.

Gorilla project facilitates the integration of over 1,600 APIs with large language models, aiming for accurate API calls derived from natural language queries. It aims to reduce errors and broaden API support, pushing open-source language models toward greater efficiency. Tools like GoEx ensure safe execution while Gorilla OpenFunctions provide alternatives for function invocation. The project, under Apache 2.0, encourages developers to integrate and expand its API ecosystem, promoting community involvement in enhancing API use within language models.

The project offers a proxy service for free access to OpenAI's DALL·E 3 image generation, supported by bots on Telegram and Discord platforms. It simplifies API integration by providing a standard OpenAI endpoint, making it easy to deploy using Docker or run directly with Python. Configuration of Coze platform agents is required to set up the service, which manages image creation requests via a RESTful API. This is a suitable choice for developers interested in implementing AI-driven image generation.