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PythonIntroduction

OpenAPITools SDK

Introduction

OpenAPITools Python package enables developers to manage, and execute tools across multiple AI API providers. It provides a unified interface for working with tools in Anthropic’s Claude, OpenAI’s GPT models, and LangChain frameworks.

With OpenAPITools, you can:

  • Create tools as Python or Bash scripts with standardized input/output
  • Access these tools through a single, consistent SDK
  • Integrate tools with Claude, GPT, and LangChain models
  • Build interactive chatbots that can use tools to solve complex tasks

Tool Execution Details

Python Tools

  • Python tools are executed using Python’s exec() function directly in the current process
  • Benefits:
    • No interpreter startup overhead
    • Full privacy (code runs locally)
    • Faster execution compared to subprocess methods
  • Python tools receive arguments via an input_json dictionary and can access environment variables through input_json["openv"]

Bash Tools

  • Bash tools are executed as subprocesses
  • Arguments are passed as JSON to the script’s standard input
  • Recommended for non-Python environments for better performance
  • Note: Bash tools should be tested in Linux environments or WSL, as they may not function correctly in Windows

Usage Modes

Local Mode (preferred)

adapter = ToolsAdapter(folder_path="/path/to/tools")

API Mode (rate limits apply)

adapter = ToolsAdapter(api_key="your_api_key")

Performance Considerations

  • Python Tools: Best for Python environments, executed in-process with minimal overhead
  • Bash Tools: Better for non-Python servers or when isolation is needed
  • For maximum performance in non-Python environments, prefer Bash tools

Security and Privacy

  • All tool execution happens locally within your environment
  • No code is sent to external servers for execution
  • Environment variables can be securely passed to tools

Integration with AI Models

OpenAPITools provides native integration with:

  • Anthropic’s Claude
  • OpenAI’s GPT models
  • LangChain frameworks

This allows you to build AI assistants that can leverage tools to perform complex tasks.

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