Best AI tools for< Generate Api Client Code >

CodePal is a comprehensive platform that offers a range of coding helpers and tools to assist developers. It includes AI-powered code generators that can translate plain words into computer code, helping users automate tasks, improve code quality, and enhance productivity. CodePal supports various programming languages and technologies, making it a versatile tool for developers of all levels.

ChatTab is a desktop application for macOS that serves as a ChatGPT API client, offering a seamless experience for users to interact with various GPT models. It provides a native Mac app with features like Markdown support, multiple tabs for conversations, shortcut keys, iCloud sync, and GPT4-Vision for image-related queries. ChatTab prioritizes security and privacy by not storing user data or logs, and encrypting the API Key. It supports multiple languages and offers different pricing plans to cater to various user needs.

Perception AI is an AI tool designed to enhance user experience by providing personalized recommendations and insights based on user behavior and preferences. The tool utilizes advanced algorithms to analyze data and generate tailored suggestions for users. With a focus on improving engagement and satisfaction, Perception AI aims to revolutionize the way users interact with digital platforms. By leveraging artificial intelligence, the tool offers a seamless and intuitive experience for users across various domains.

SearchCandy is a Generative AI-powered search and analytics tool designed for e-commerce businesses. It helps businesses understand their customers better, boost conversions, and gain valuable insights. The platform offers easy integration with popular data integrations like Azure, Google Cloud, and AWS, as well as API clients such as Node.js, Python, and .NET. With SearchCandy, businesses can connect their data, test data retrieval using conversational prompts, easily integrate into their e-commerce store, track customer conversions, and benefit from affordable pricing.

Theneo is an AI-powered API documentation tool that helps developers create, maintain, and publish beautiful, interactive API documentation. With Theneo, you can automatically generate API descriptions and summaries, collaborate with your team in real-time, and customize your documentation to match your brand. Theneo also integrates with your favorite development tools and source code editors, so you can create and maintain your documentation right from your workflow.

Apiversion.dev is an AI-powered API versioning platform that helps developers manage and version their APIs. It provides a range of features to make API versioning easier, including automatic versioning, version deprecation, and version promotion. Apiversion.dev also integrates with popular CI/CD tools to automate the API versioning process.

Keploy is an AI tool designed for developers to generate API tests efficiently. It is an open-source platform that converts API calls to test cases with data mocks. Keploy simplifies testing by capturing network interactions and generating automated tests, helping teams accelerate development with streamlined testing processes. The tool allows users to record and replay complex API flows, find duplicate tests, and seamlessly integrate with popular testing libraries like JUnit, PyTest, Jest, and Go-Test in CI/CD pipelines.

Lazy AI is an AI tool that enables users to quickly build and modify web apps with prompts and deploy them to the cloud with just one click. Users can create various applications such as customer portals, API endpoints for AI text summarization, metrics dashboards, web scrapers, chatbots, and discord bots. The platform offers a wide range of template categories and tools for automation, data mining, AI agents, dashboards, reporting, and more. Users can also access reusable templates from the Lazy AI community to streamline their development process.

GetAudify is an AI-powered tool that allows users to summarize large content and convert it into voice using text-to-voice technology. With features like multilingual support, customized tone, and instant summarization, GetAudify aims to enhance communication and content management. Users can easily manage credits, generate API keys, and access summarization features through the extension and dashboard. The tool is beneficial for students, researchers, content creators, and individuals looking to efficiently summarize and understand lengthy content.

DocuWriter.ai is an AI-powered tool that helps developers automate code documentation, testing, and refactoring. It uses natural language processing and machine learning algorithms to generate accurate and consistent documentation, test suites, and optimized code. DocuWriter.ai integrates with popular programming languages and development environments, making it easy for developers to improve the quality and efficiency of their code.

Takomo.ai is a no-code AI builder that allows users to connect and deploy AI models in seconds. With Takomo.ai, users can combine the best AI models in a simple visual builder to create unique AI applications. Takomo.ai offers a variety of features, including a drag-and-drop builder, pre-trained ML models, and a single API call for accessing multi-model pipelines.

AI Placeholder is a free AI-Powered Fake or Dummy Data API for testing and prototyping. It utilizes OpenAI API to generate dummy content. Users can directly use the hosted version or self-host it. The application allows users to generate fake or dummy content using OpenAI's GPT-3.5-Turbo Model API. Users can specify the data they want to mock, retrieve specific data, and generate data with rules specified. The tool is useful for testing, prototyping, and generating various types of data for different purposes.

PromptScaper Workspace is an AI tool designed to assist users in generating text using OpenAI's powerful language models. The tool provides a user-friendly interface for interacting with OpenAI's API to generate text based on specified parameters. Users can input prompts and customize various settings to fine-tune the generated text output. PromptScaper Workspace streamlines the process of leveraging advanced AI language models for text generation tasks, making it easier for users to create content efficiently.

LaraGPT is an AI-powered content creation platform that uses OpenAI API to generate high-quality text content, such as articles, blogs, ads, media, and more in 33 languages. It offers a wide range of features, including 67 AI document templates, speech-to-text transcription, AI chatbots, and SEO tools. LaraGPT is designed to help individuals and businesses create high-quality content quickly and efficiently.

AnyAPI is an AI tool that allows users to easily add AI features to their products in minutes. With the ability to craft the perfect GPT-3 prompt using A/B testing, users can quickly generate a live API endpoint to power their next AI feature. The platform offers a range of use cases, including turning emails into tasks, suggesting replies, and accessing plain text JSON. AnyAPI is designed to streamline the integration of AI capabilities into various products and services, making it a valuable tool for developers and businesses seeking to enhance their offerings with AI technology.

ChatBA is a generative AI tool designed for creating slides effortlessly. It leverages the power of OpenAI API to generate content based on user prompts. Due to high demand, there might be account limits, but users can still explore cached examples. The tool aims to simplify the process of creating engaging and informative slides for various purposes.

Text Generator is an AI-powered text generation tool that provides users with accurate, fast, and flexible text generation capabilities. With its advanced large neural networks, Text Generator offers a cost-effective solution for various text-related tasks. The tool's intuitive 'prompt engineering' feature allows users to guide text creation by providing keywords and natural questions, making it adaptable for tasks such as classification and sentiment analysis. Text Generator ensures industry-leading security by never storing personal information on its servers. The tool's continuous training ensures that its AI remains up-to-date with the latest events. Additionally, Text Generator offers a range of features including speech-to-text API, text-to-speech API, and code generation, supporting multiple spoken languages and programming languages. With its one-line migration from OpenAI's text generation hub and a shared embedding for multiple spoken languages, images, and code, Text Generator empowers users with powerful search, fingerprinting, tracking, and classification capabilities.

AIContentfy is an AI-powered content generation tool that helps you create high-quality, engaging content for your website, blog, or social media. With AIContentfy, you can generate blog posts, articles, product descriptions, website copy, and more. Our AI is trained on a massive dataset of high-quality content, so you can be sure that your content will be well-written, informative, and engaging.

The pplx-api is an AI tool designed to provide documentation and examples for blazingly fast LLM inference. It offers a reference for developers to integrate AI capabilities into their applications efficiently. The tool focuses on enhancing natural language processing tasks by leveraging advanced models and algorithms. Users can access detailed guides, API references, changelogs, and engage in discussions related to AI technologies.

Suno API is a professional AI music generation service that offers a powerful API for seamless integration of custom audio generation into products and services. The advanced AI music generation service provides unparalleled flexibility and quality for developers and businesses, with reliable API performance, flexible integration options, customizable output, and scalable solutions. Suno API is optimized for efficiency, allowing rapid music generation for various applications.

LangServe helps developers deploy `LangChain` runnables and chains as a REST API. This library is integrated with FastAPI and uses pydantic for data validation. In addition, it provides a client that can be used to call into runnables deployed on a server. A JavaScript client is available in LangChain.js.

Gemini AI is a Ruby Gem designed to provide low-level access to Google's generative AI services through Vertex AI, Generative Language API, or AI Studio. It allows users to interact with Gemini to build abstractions on top of it. The Gem provides functionalities for tasks such as generating content, embeddings, predictions, and more. It supports streaming capabilities, server-sent events, safety settings, system instructions, JSON format responses, and tools (functions) calling. The Gem also includes error handling, development setup, publishing to RubyGems, updating the README, and references to resources for further learning.

Labelbox is a data-centric AI platform for enterprises to develop, optimize, and use AI to solve problems and power new products and services. Enterprises use Labelbox to curate data, generate high-quality human feedback data for computer vision and LLMs, evaluate model performance, and automate tasks by combining AI and human-centric workflows. The academic & research community uses Labelbox for cutting-edge AI research.

Groq Cloud runs LLM models fast and cheap. Llama 3, Mixtrel, Gemma, and more at hundreds of tokens per second, at cents per million tokens.

Gemini PHP is a PHP API client for interacting with the Gemini AI API. It allows users to generate content, chat, count tokens, configure models, embed resources, list models, get model information, troubleshoot timeouts, and test API responses. The client supports various features such as text-only input, text-and-image input, multi-turn conversations, streaming content generation, token counting, model configuration, and embedding techniques. Users can interact with Gemini's API to perform tasks related to natural language generation and text analysis.

This project provides a drop-in replacement REST API for Google Cloud Vertex AI (PaLM 2, Codey, Gemini) that is compatible with the OpenAI API specifications. It aims to make Google Cloud Platform Vertex AI more accessible by translating OpenAI API calls to Vertex AI. The software is developed in Python and based on FastAPI and LangChain, designed to be simple and customizable for individual needs. It includes step-by-step guides for deployment, supports various OpenAI API services, and offers configuration through environment variables. Additionally, it provides examples for running locally and usage instructions consistent with the OpenAI API format.

The Apache Airflow Python Client provides a range of REST API endpoints for managing Airflow metadata objects. It supports CRUD operations for resources, with endpoints accepting and returning JSON. Users can create, read, update, and delete resources. The API design follows conventions with consistent naming and field formats. Update mask is available for patch endpoints to specify fields for update. API versioning is not synchronized with Airflow releases, and changes go through a deprecation phase. The tool supports various authentication methods and error responses follow RFC 7807 format.

CodeGPT is a CLI tool written in Go that helps you write git commit messages or do a code review brief using ChatGPT AI (gpt-3.5-turbo, gpt-4 model) and automatically installs a git prepare-commit-msg hook. It supports Azure OpenAI Service or OpenAI API, conventional commits specification, Git prepare-commit-msg Hook, customizing the number of lines of context in diffs, excluding files from the git diff command, translating commit messages into different languages, using socks or custom network HTTP proxies, specifying model lists, and doing brief code reviews.

Ain is a terminal HTTP API client designed for scripting input and processing output via pipes. It allows flexible organization of APIs using files and folders, supports shell-scripts and executables for common tasks, handles url-encoding, and enables sharing the resulting curl, wget, or httpie command-line. Users can put things that change in environment variables or .env-files, and pipe the API output for further processing. Ain targets users who work with many APIs using a simple file format and uses curl, wget, or httpie to make the actual calls.

Delphi OpenAI API is an unofficial library providing Delphi implementation over OpenAI public API. It allows users to access various models, make completions, chat conversations, generate images, and call functions using OpenAI service. The library aims to facilitate tasks such as content generation, semantic search, and classification through AI models. Users can fine-tune models, work with natural language processing, and apply reinforcement learning methods for diverse applications.

The 'llm' package for Emacs provides an interface for interacting with Large Language Models (LLMs). It abstracts functionality to a higher level, concealing API variations and ensuring compatibility with various LLMs. Users can set up providers like OpenAI, Gemini, Vertex, Claude, Ollama, GPT4All, and a fake client for testing. The package allows for chat interactions, embeddings, token counting, and function calling. It also offers advanced prompt creation and logging capabilities. Users can handle conversations, create prompts with placeholders, and contribute by creating providers.

OllamaSharp is a .NET binding for the Ollama API, providing an intuitive API client to interact with Ollama. It offers support for all Ollama API endpoints, real-time streaming, progress reporting, and an API console for remote management. Users can easily set up the client, list models, pull models with progress feedback, stream completions, and build interactive chats. The project includes a demo console for exploring and managing the Ollama host.

Ollama4j is a Java library that serves as a wrapper or binding for the Ollama server. It facilitates communication with the Ollama server and provides models for deployment. The tool requires Java 11 or higher and can be installed locally or via Docker. Users can integrate Ollama4j into Maven projects by adding the specified dependency. The tool offers API specifications and supports various development tasks such as building, running unit tests, and integration tests. Releases are automated through GitHub Actions CI workflow. Areas of improvement include adhering to Java naming conventions, updating deprecated code, implementing logging, using lombok, and enhancing request body creation. Contributions to the project are encouraged, whether reporting bugs, suggesting enhancements, or contributing code.

ScreenAgent is a project focused on creating an environment for Visual Language Model agents (VLM Agent) to interact with real computer screens. The project includes designing an automatic control process for agents to interact with the environment and complete multi-step tasks. It also involves building the ScreenAgent dataset, which collects screenshots and action sequences for various daily computer tasks. The project provides a controller client code, configuration files, and model training code to enable users to control a desktop with a large model.

Ollama AI is a Ruby gem designed to interact with Ollama's API, allowing users to run open source AI LLMs (Large Language Models) locally. The gem provides low-level access to Ollama, enabling users to build abstractions on top of it. It offers methods for generating completions, chat interactions, embeddings, creating and managing models, and more. Users can also work with text and image data, utilize Server-Sent Events for streaming capabilities, and handle errors effectively. Ollama AI is not an official Ollama project and is distributed under the MIT License.

AI Commits is a plugin for IntelliJ-based IDEs and Android Studio that generates commit messages using git diff and OpenAI. It offers features such as generating commit messages from diff using OpenAI API, computing diff only from selected files and lines in the commit dialog, creating custom prompts for commit message generation, using predefined variables and hints to customize prompts, choosing any of the models available in OpenAI API, setting OpenAI network proxy, and setting custom OpenAI compatible API endpoint.

QRev is an open-source alternative to Salesforce, offering AI agents to scale sales organizations infinitely. It aims to provide digital workers for various sales roles or a superagent named Qai. The tech stack includes TypeScript for frontend, NodeJS for backend, MongoDB for app server database, ChromaDB for vector database, SQLite for AI server SQL relational database, and Langchain for LLM tooling. The tool allows users to run client app, app server, and AI server components. It requires Node.js and MongoDB to be installed, and provides detailed setup instructions in the README file.

This repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. The testing procedure involves generating a SQL query, running both the 'gold' query and the generated query on their respective database to obtain dataframes with the results, comparing the dataframes using an 'exact' and a 'subset' match, logging these alongside other metrics of interest, and aggregating the results for reporting. The repository provides comprehensive instructions for installing dependencies, starting a Postgres instance, importing data into Postgres, importing data into Snowflake, using private data, implementing a query generator, and running the test with different runners.

The TensorRT-LLM Backend is a Triton backend designed to serve TensorRT-LLM models with Triton Inference Server. It supports features like inflight batching, paged attention, and more. Users can access the backend through pre-built Docker containers or build it using scripts provided in the repository. The backend can be used to create models for tasks like tokenizing, inferencing, de-tokenizing, ensemble modeling, and more. Users can interact with the backend using provided client scripts and query the server for metrics related to request handling, memory usage, KV cache blocks, and more. Testing for the backend can be done following the instructions in the 'ci/README.md' file.

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OpenAPI schema generator for GPT integrations

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Examines and evaluates public API documentation and offers detailed guidance for improvements, including AI usability

Assists in creating and validating OpenAPI specifications.

Pass in the attributes of Pojo entity class objects, generate corresponding addition, deletion, modification, and pagination query functions, including generating database connection configuration files yaml and database script files, as well as XML dynamic SQL concatenation statements.

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Advanced tool for creating GPT APIs, specialized in code and OpenAPI Schemas.

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