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2 Repos

Awesome GitHub RepositoriesBatch Processors

Tools for executing asynchronous, high-volume tasks against AI model APIs.

Distinguishing note: Specifically for AI model batching, distinct from general data processing pipelines.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Batch Processors. Refine with filters or upvote what's useful.

Awesome Batch Processors GitHub Repositories

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  • berriai/litellmAvatar von BerriAI

    BerriAI/litellm

    50,579Auf GitHub ansehen↗

    LiteLLM is a unified gateway and proxy server designed to centralize access to over one hundred language model providers. It provides a standardized API interface that abstracts vendor-specific schemas, allowing developers to interact with diverse models through a single, consistent format. By acting as a central traffic management layer, it enables organizations to route, secure, and govern model interactions across multiple deployments. The platform distinguishes itself through its policy-driven architecture, which uses configuration-based routing to manage traffic distribution, load balanc

    Executes batch processing tasks on supported providers via standard compatible API interfaces.

    Pythonai-gatewayanthropicazure-openai
    Auf GitHub ansehen↗50,579
  • anthropics/anthropic-sdk-pythonAvatar von anthropics

    anthropics/anthropic-sdk-python

    2,795Auf GitHub ansehen↗

    This is a Python SDK for interacting with large language models via API. It serves as a client library to generate text, process messages, and manage conversational states, while providing a specialized interface for connecting to models hosted across different cloud infrastructure providers. The SDK includes a tool-calling framework that maps Python functions to JSON schemas, allowing models to execute external tools. It also features a built-in token counting utility to estimate input size before transmission and a server-sent events client for receiving model tokens in real time. The libr

    Provides a pipeline for submitting large arrays of requests for asynchronous background processing against model APIs.

    Python
    Auf GitHub ansehen↗2,795
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