{"repo":"umputun/mpt","free":true,"listed":false,"github":"https://github.com/umputun/mpt","clone":"git clone https://github.com/umputun/mpt.git","description":"multi-prompt for various ai models","language":"Go","stars":60,"topics":["ai","cli","models","prompt"],"license":"MIT","category":"cli-tools","readme_excerpt":"MPT - multi-provider tool for LLMs MPT is a command-line utility that sends prompts to multiple AI language model providers (OpenAI, Anthropic, Google, and custom providers) in parallel and combines the results. It enables easy file inclusion for context and supports flexible pattern matching to quickly include relevant code or documentation in your prompts. What MPT Does MPT makes working with AI language models simpler and more powerful by: 1. Querying multiple AI providers simultaneously : Get responses from OpenAI, Claude, Gemini, and custom models all at once, with clear provider labeling. 2. Including files as context using smart pattern matching : - Easily add code files to your prompt with flexible patterns: --file \" / .go\" or --file \"pkg/...\" - Filter out unwanted files with exclusion patterns: --exclude \" /tests/ \" - Provide comprehensive context from your codebase without manual copying 3. Streamlining your AI workflow : - Pipe content from other commands directly to MPT: git diff mpt --prompt \"Review this code\" - Combine stdin with files: cat error.log mpt --file \"app/server.go\" --prompt \"Why am I seeing this error?\" - Use environment variables to manage API keys 4. Getting multiple perspectives : Different AI models have different strengths—MPT lets you leverage them all at once to get more comprehensive insights. 5. Providing cleaner single-provider output : When using just one AI provider, MPT automatically removes headers for cleaner results. 6. Acting as an M","default_branch":null,"files":null,"tree":[],"storefront":"/r/umputun","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/umputun/mpt/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}