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Awesome GitHub RepositoriesNatural Language Function Executions

Execution of backend functions triggered by the translation of natural language prompts into structured calls.

Distinct from Multi-Caller Function Executions: Focuses on the trigger mechanism (NL translation) rather than just the caller identity

Explore 2 awesome GitHub repositories matching development tools & productivity · Natural Language Function Executions. Refine with filters or upvote what's useful.

Awesome Natural Language Function Executions GitHub Repositories

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  • katanemo/planokatanemo 的头像

    katanemo/plano

    5,120在 GitHub 上查看↗

    Plano is an AI agent orchestrator and LLM gateway proxy that unifies access to multiple AI providers through a single interoperable interface. It functions as a model routing engine that decouples applications from specific vendors using semantic aliases, allowing traffic to be shifted between providers without modifying application code. The system distinguishes itself with intent-based agent routing, which directs prompts to specialized agents based on semantic analysis. It features an interceptor-based filter chain system that acts as guardrail middleware to enforce safety policies, rewrit

    Translates natural language prompts into structured calls to perform transactional operations via backend functions.

    Rustai-gatewayai-gateway-supportenvoy
    在 GitHub 上查看↗5,120
  • ed-donner/agentsed-donner 的头像

    ed-donner/agents

    4,017在 GitHub 上查看↗

    This project is an LLM autonomous agent framework and orchestration tool designed to build goal-driven agents that automate complex workflows. It functions as a system for converting high-level objectives into a series of autonomous actions and managing the coordination of multiple specialized agents to solve multi-step problems. The framework features a tool integration layer that parses structured model outputs into executable functions and external API calls. It utilizes a non-blocking execution pipeline to manage task orchestration through recursive loops and asynchronous event handling.

    Translates natural language intentions from model outputs into structured, executable function calls.

    Jupyter Notebook
    在 GitHub 上查看↗4,017
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