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ragtools

v1.0.1

Published

A RAG tool manager for your agentic workflows

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Links

Maintainers

justiceojusticeo

Keywords

ragtoolsllmretrieval-augmented-generation

Readme

RagTools

RagTools is an Agentic Tools Manager designed to streamline the discovery, execution, and evaluation of various tools. It provides a structured way to manage tools via schemas, enabling efficient searching, ranking, and invocation of tools in both local and remote environments.

Features

  • Tool Discovery: Store and search tool schemas with ranked relevance to queries.
  • Tool Execution: Invoke tools with specific arguments and return responses.
  • Flexible Implementations: Support for HTTP calls, local function calls, and streaming inputs/outputs.
  • Hierarchical Relationships: Tools can have parent-child dependencies and execution order constraints.
  • Performance Tracking: Measure tool effectiveness via test sets and real-world evaluations.
  • Dynamic Enabling/Disabling: Tools can be launched, unlaunched, or disabled dynamically.
  • Authentication Handling: Seamless integration with OAuth-protected or paywalled content.
  • Intelligent Tool Matching: Tools specify trigger conditions to improve discovery.
  • Multi-language SDKs: Enables interaction with the tool manager across different programming languages.
  • Parallel Execution: Multiple tools can run simultaneously for efficient processing.
  • Auto-Evaluation & Ranking: Tools are ranked based on usage quality, reliability, and success rates.
  • Versioning & Attributes: Tools and their implementations are versioned with machine-accessible attributes.

How It Works

  1. Define Tools: Tools are described using YAML manifests with metadata, permissions, and capabilities.
  2. Discover Tools: A fast /search API classifies and ranks tools based on query relevance.
  3. Execute Tools: Tools can be invoked with arguments, including support for streaming responses.
  4. Evaluate & Improve: Automatic and human-in-the-loop evaluations enhance tool ranking over time.
  5. Manage Implementations: A tool can have multiple local or remote implementations, chosen dynamically.

Use Cases

  • AI-powered agents executing external tools
  • Workflow automation with dynamically invoked functions
  • Search and ranking of APIs and services for query-based execution
  • Evaluating and managing tool effectiveness in production environments

Roadmap

  • RPC-based communication for optimized tool execution
  • Expanded SDK support across multiple languages
  • Enhanced session management for stateful tool interactions
  • Improved AI-driven tool schema generation

Contributing

We welcome contributions! Please submit issues, feature requests, or pull requests to help improve RagTools.

License

RagTools is licensed under MIT License.