Showing 4 open source projects for "firefly-proxy"

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    Headroom

    Headroom

    Compress tool outputs, logs, files, and RAG chunks

    ...The project is designed to reduce token usage while preserving the answer quality needed for agent workflows. It can compress tool outputs, logs, RAG chunks, files, and conversation history. Headroom can be used as a transparent proxy, a Python function, a TypeScript SDK, or through integrations with frameworks such as LangChain and LiteLLM. It is useful for teams building AI agents, research tools, or LLM products where context size, cost, and latency matter.
    Downloads: 2 This Week
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  • 2
    GPT-API-free

    GPT-API-free

    Free ChatGPT&DeepSeek API Key

    GPT-API-free is a project that provides access to GPT-style APIs without requiring direct integration with paid official endpoints, focusing on accessibility and ease of experimentation. It offers a proxy-based approach that allows developers to interact with language models through a simplified interface, often requiring minimal configuration. The system is designed to lower barriers for developers who want to test or build applications using conversational AI without managing billing or complex authentication flows. It supports common API formats similar to widely used AI services, making it easier to integrate into existing projects. ...
    Downloads: 2 This Week
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  • 3
    OpenAI Forward

    OpenAI Forward

    An efficient forwarding service designed for LLMs

    OpenAI Forward is an open-source forwarding and reverse proxy service for large language model APIs, designed to sit between client applications and model providers. Its main purpose is to make model access more manageable and efficient by adding operational controls such as request rate limiting, token rate limiting, caching, logging, routing, and key management around existing LLM endpoints.
    Downloads: 0 This Week
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  • 4
    Firefly LLM

    Firefly LLM

    A large model training tool that supports training large models

    Firefly is an open-source framework designed to simplify the training and fine-tuning of large language models through a unified and configurable workflow. The project provides a comprehensive environment where developers can perform tasks such as model pre-training, instruction tuning, and preference optimization using widely adopted machine learning techniques.
    Downloads: 0 This Week
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