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Awesome GitHub RepositoriesAPI Generation Benchmarks

Standardized datasets and metrics for evaluating the correctness of API call generation in agentic workflows.

Distinct from Evaluation Benchmarks: Specifically evaluates the syntax and logic of generated API calls rather than general model safety or reasoning.

Explore 1 awesome GitHub repository matching part of an awesome list · API Generation Benchmarks. Refine with filters or upvote what's useful.

Awesome API Generation Benchmarks GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • shishirpatil/gorillaAvatar de ShishirPatil

    ShishirPatil/gorilla

    12,908Voir sur GitHub↗

    Gorilla is a foundational infrastructure framework for large language model function calling. It provides a system for training, evaluating, and executing the translation of natural language instructions into accurate API calls and executable code. The project integrates a structured API documentation index, a fine-tuning pipeline for model adaptation, and a secure sandboxed action runtime for executing model-generated commands. The framework distinguishes itself through a specialized evaluation benchmark suite that measures the accuracy, cost, and latency of function calls. It includes tools

    Evaluates the ability of models to generate correct function calls within real-world multi-turn agentic workflows.

    Python
    Voir sur GitHub↗12,908
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