ToolRegistry

PyPI version GitHub release CI License: MIT arXiv

English Version | 中文版

A protocol-agnostic tool management library for function-calling LLMs.

Documentation · arXiv Paper

Ecosystem

Package Description PyPI Docs
toolregistry Core library — tool registration, schema generation, execution PyPI Docs
toolregistry-server Server adapters — expose tools via OpenAPI & MCP PyPI Docs
toolregistry-hub Ready-to-use tools — calculator, web search, file ops, etc. PyPI Docs 
toolregistry (core)
       ↓
toolregistry-server (tool server)
       ↓
toolregistry-hub (tool collection + server config)

Features

  • Protocol-agnostic — register tools from native Python functions/classes, MCP servers, OpenAPI specs, or LangChain tools through a unified interface
  • Multi-provider schemas — generate tool schemas for OpenAI, Anthropic, and Gemini via llm-rosetta
  • Concurrent execution — thread and process pool backends with per-tool timeout and concurrency control
  • Permission system — tag-based policies (READ_ONLY, DESTRUCTIVE, NETWORK, etc.) with allow/deny/ask rules
  • Tool metadata & tags — classify tools with ToolTag, ToolMetadata, namespace support, and source tracking
  • Admin panel — built-in Web UI for monitoring tools, permissions, and runtime config (i18n: EN/ZH)
  • Think-augmented calling — inject chain-of-thought reasoning into tool calls (arXiv:2601.18282)
  • Declarative config — load tool sources from JSONC/YAML config files
  • Zero-dependency core — HTTP client, YAML parser, JSON Schema resolver all vendored; only pydantic and llm-rosetta as runtime deps

Quick Start

from toolregistry import ToolRegistry

registry = ToolRegistry()

@registry.register
def add(a: float, b: float) -> float:
    """Add two numbers together."""
    return a + b

# Use with any LLM provider
schemas = registry.get_schemas(api_format="openai-chat")  # or "anthropic", "gemini"
result = registry["add"](1, 2)  # 3.0

See the Usage Guide for MCP, OpenAPI, LangChain integrations and more.

Installation

Requires Python >= 3.10.

pip install toolregistry                   # core
pip install toolregistry[mcp]              # + MCP support
pip install toolregistry[langchain]        # + LangChain support
pip install toolregistry-hub               # ready-to-use tools (separate package)

Citation

@software{toolregistry2025,
  title={ToolRegistry: A Protocol-Agnostic Tool Management Library for OpenAI-Compatible LLM Applications},
  author={Peng Ding},
  year={2025},
  url={https://github.com/Oaklight/ToolRegistry},
  note={A Python library for unified tool registration, execution, and management across multiple protocols in OpenAI-compatible LLM applications}
}

@article{ding2025toolregistry,
  title={Toolregistry: A protocol-agnostic tool management library for function-calling llms},
  author={Ding, Peng and Stevens, Rick},
  journal={arXiv preprint arXiv:2507.10593},
  year={2025}
}

License

MIT — see LICENSE for details.

Project links

Data verified by PyPI on Aug 6, 2026
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Avatar for Oaklight from gravatar.com Oaklight

Credits

Author: Oaklight

GitHub Statistics

Data verified by PyPI on Aug 6, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Provides Extra

mcp openapi langchain ptc dev test

Tags

llm tool-calling function-calling programmatic-tool-calling ptc code-execution ai-agents openai anthropic gemini mcp openapi tool-use agentic-ai

Classifiers

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