#APIs

Gorilla CLI enhances command-line operations by offering suggestions tailored to specific user objectives, supporting around 1500 APIs like Kubernetes and AWS. Created by UC Berkeley, the tool emphasizes user control and data privacy, demanding explicit approval for executing commands and ensuring no output data is retained. Easily installable via pip, Gorilla CLI leverages advanced Language Models such as OpenAI's GPT-4 to provide intuitive interfaces with a history feature for re-executing past commands. Contributions for improvement are accepted under the Apache 2.0 license.

The service provides high-speed streaming and Metaso AI search across diverse modes, supporting seamless, zero-configuration deployment with multi-token functionality. Compatible with the ChatGPT API, it ensures easy integration without complex setup. It supports multi-account access and can be deployed on various platforms like Docker, Render, Vercel, and native environments. Designed for personal use, this non-commercial project provides an efficient API experience with features such as conversation completion, token life-checking, and optimized reverse proxy configurations to enhance performance.

Discover a vast selection of free software and services that span a range of categories such as APIs, Machine Learning, and Artificial Intelligence. This project serves as a valuable repository for developers, students, and users seeking cost-free tools that foster productivity and innovation. Supported by a strong community, it provides up-to-date offerings tailored to diverse professional needs.

Paddle Lite offers a high-performance and flexible inference solution, supporting a wide range of hardware environments such as mobile and edge devices. It integrates smoothly with PaddlePaddle models and serves both Baidu's internal needs and external applications in various industries. The framework comes equipped with tools for model optimization and extensive compatibility with platforms like Android, iOS, and Linux. APIs available in Java, Python, and C++ provide users with the flexibility to implement rapid machine learning solutions. Explore comprehensive documentation and examples for seamless integration and enhanced inference performance.

OpenGPT 3.5/4 features intuitive APIs that simplify NLP integration across diverse applications, offering an accessible path for developers to implement natural language processing. This open-source project enhances application functionality and provides free access to AI models. Community collaboration and contributions are encouraged to innovate AI integration, thereby supporting seamless integration with larger systems.

This open-source client package provides straightforward integration of OpenAI's AI models into Dart/Flutter apps, allowing developers easy access to APIs like GPT-3 and DALL-E. Streamline application development with intuitive methods that bypass HTTP request complexities, featuring functionalities such as Stream support for API completions and simple authorization processes. The library is equipped with ready-to-use snippets and benefits from regular updates and community input, supporting developers in building powerful applications efficiently.

OpenLLM simplifies the deployment of open-source and custom LLMs as OpenAI-compatible APIs. Its features include a chat UI and robust inference capabilities, aiding in cloud deployment with Docker, Kubernetes, and BentoCloud. Supporting models such as Llama 3.2 and Qwen 2.5, it ensures easy integration and optimal local hosting, compatible with Hugging Face tokens for gated models.

Smarty-GPT is a versatile tool for interacting with large language models (LLMs) like ChatGPT and GPT-4 through flexible prompt options. It integrates these models via user-friendly interface, allowing for response customization using manual, predefined, and custom prompts, without involving users in intricate code. The project supports diverse prompt types, including manual and community-generated datasets, and is actively expanding to incorporate additional models and features, focusing on simplicity and transparency for end-users.

An open-source low-code framework for developers, this platform delivers flexible web app and mini-program creation with strong API integration and robust visual modeling. It supports extensive customization, secure deployment, and community collaboration. With Appsmith roots, it enhances mobile development and performance.

As a modular Python framework, this solution assists in creating AI applications with secure connections to enterprise data and APIs. It provides crucial components like Agents, Pipelines, and Workflows for efficient Task and Engine integration. Its Tools and Memory features support developers in crafting solutions that manage complex tasks while retaining context. Comprehensive documentation and guidelines facilitate a straightforward start and contribute to its continuous evolution.

Motorhead provides memory and retrieval capabilities for LLM-based chat applications, featuring session message handling and text searching via VSS. Despite discontinued support, its APIs include session memory management, automatic session initiation, and model integration with gpt-3.5-turbo and gpt-4.

This repository offers a diverse range of sample codes for creating Google Chat applications, available in Node.js, Python, Java, and Apps Script. Examples include basic, avatar, and vote apps, demonstrating functionalities such as event handling, card formatting, and integration with Google Cloud services like App Engine and Cloud Run. The samples serve as practical guides for enhancing Google Chat features, suitable for Google Workspace account holders. Refer to the README files for detailed setup instructions.