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4 مستودعات

Awesome GitHub RepositoriesInput Caches

Systems for storing processed text and media inputs to reduce latency and costs for repeated requests.

Distinct from Data Caching: Distinct from general data caching: focuses on caching input payloads for AI model requests to avoid redundant processing.

Explore 4 awesome GitHub repositories matching data & databases · Input Caches. Refine with filters or upvote what's useful.

Awesome Input Caches GitHub Repositories

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  • ffmpeg/ffmpegالصورة الرمزية لـ FFmpeg

    FFmpeg/FFmpeg

    61,176عرض على GitHub↗

    FFmpeg is a cross-platform multimedia framework designed for the recording, conversion, and streaming of audio and video content. It functions as a comprehensive toolkit that provides both a command-line utility for direct media manipulation and a collection of low-level libraries for integration into custom applications. At its core, the project utilizes a packet-based stream engine and a format-agnostic abstraction layer to handle diverse media standards, containers, and network protocols. The framework distinguishes itself through a modular, graph-based filter execution model that allows f

    Stores remote stream data in temporary files to enable seeking and playback stability.

    Caudiocffmpeg
    عرض على GitHub↗61,176
  • google-gemini/cookbookالصورة الرمزية لـ google-gemini

    google-gemini/cookbook

    17,418عرض على GitHub↗

    The Gemini Cookbook is a comprehensive collection of implementation patterns, code samples, and development guides designed for building applications with Google Gemini models. It serves as a central resource for developers to integrate multimodal generative artificial intelligence into their software, providing the necessary frameworks to manage model interactions, stateful workflows, and structured data extraction. The repository distinguishes itself by offering specialized toolkits for autonomous agent orchestration, enabling the construction of agents that can execute code, browse the web

    Stores frequently used input tokens on the server to reduce latency and operational costs during subsequent requests.

    Jupyter Notebookgeminigemini-api
    عرض على GitHub↗17,418
  • 567-labs/instructorالصورة الرمزية لـ 567-labs

    567-labs/instructor

    13,176عرض على GitHub↗

    Instructor is a framework designed for structured data extraction, validation, and language model integration. It functions as a library that transforms unstructured text into validated, type-safe objects by leveraging schema definitions and model-specific tool-calling capabilities. By acting as a validation middleware, the project ensures that language model outputs strictly conform to defined data structures. The library distinguishes itself through a robust validation-based retry loop that automatically re-submits failed responses with error feedback to iteratively correct schema complianc

    Stores previously processed text and media inputs to reduce latency and operational costs for identical content.

    Pythonopenaiopenai-function-calliopenai-functions
    عرض على GitHub↗13,176
  • googleapis/python-genaiالصورة الرمزية لـ googleapis

    googleapis/python-genai

    3,819عرض على GitHub↗

    This project is a Python software development kit and framework for building applications that integrate with large language models. It serves as a multimodal content generator and vector embedding library, enabling the production and editing of text, images, audio, and video. The toolkit provides specialized capabilities for adapting base models through supervised and reinforcement training. It further distinguishes itself by offering tools for orchestrating complex workflows, including stateful chat sessions, the enforcement of structured output via schemas, and the integration of external

    Caches large inputs and system instructions to reduce latency and token costs.

    Python
    عرض على GitHub↗3,819
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  2. Data & Databases
  3. Data Caching
  4. Input Caches

استكشف الوسوم الفرعية

  • StreamSystems for caching remote stream data to enable seeking and stability. **Distinct from Input Caches:** Distinct from input caches: focuses on media stream seeking and stability rather than AI model request caching.