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Tools Developer Guide

This guide explains how to add a new tool (functionality) to Janito so it can be used by the agent and OpenAI-compatible APIs.

For a list of all built-in tools and their usage, see the Tools Reference. For a technical overview, see the Architecture Guide in the documentation navigation.

Requirements

  • Class-based tools: Implement tools as classes inheriting from ToolBase (see janito/agent/tool_base.py).
  • Type hints: All parameters to the run method must have Python type hints.
  • Docstrings:
  • The tool class must have a class-level docstring summarizing its purpose and behavior (user-facing).
  • The run method must have a Google-style docstring with an Args: section describing each parameter.
  • Parameter descriptions: Every parameter must have a corresponding description in the docstring. If any are missing, registration will fail.

Example: Creating a Tool

```python from janito.tools.tool_base import ToolBase, ToolPermissions from janito.plugins.adapters.local.adapter import register_local_tool

class MyTool(ToolBase): """ Processes a file a given number of times. """ permissions = ToolPermissions(read=True, write=True) tool_name = "my_tool"

def run(self, filename: str, count: int) -> str:
    """
    Processes the specified file repeatedly.

    Args:
        filename (str): The path to the file to process.
        count (int): How many times to process the file.

    Returns:
        str: Status message after processing.
    """
    # Implementation here
    return f"Processed {filename} {count} times"

```

Steps to Add a Tool

  1. Define your tool as a class inheriting from ToolBase.
  2. Add a class-level docstring summarizing the tool's purpose (user-facing).
  3. Implement the run method with type hints and a Google-style docstring, including an Args: section for every parameter.
  4. Set permissions using permissions = ToolPermissions(read=True, write=True, execute=True) as needed.
  5. Register your tool with ` fromjanito.plugins.adapters.local.adapter. Set a unique class attributetool_name = "your_tool_name"`.
  6. Document your tool: Update docs/tools-index.md with a short description and usage for your new tool.

Docstring Style

Use the Google style for docstrings:

```python """ Function summary.

Args: param1 (type): Description of param1. param2 (type): Description of param2. """ ```

  • The Args: section must list each parameter, its type, and a description.
  • The class docstring is prepended to the tool's description in the OpenAI schema and is user-facing.

What Happens If You Omit a Description?

If you forget to document a parameter, you will see an error like:

ValueError: Parameter 'count' in tool 'MyTool' is missing a description in the docstring.

Tool Reference

See the Tools Reference page in the documentation navigation for a list of built-in tools and their usage.

Tool Call Limits

You can use --max-tools to limit the total number of tool runs allowed in a chat session. If the limit is reached, further tool runs will be prevented.

System Prompt Precedence

  • If --system-file is provided, the file's content is used as the system prompt (highest priority).
  • Otherwise, if --system or the config value is set, that string is used.
  • Otherwise, a default prompt is used from the template at janito/agent/templates/prompt_prompt_template.j2.

Interactive Shell Config Commands

Within the interactive chat shell, you can use special commands: - /config show — Show effective configuration (local, global, defaults) - /config set local key=value — Set a local config value - /config set global key=value — Set a global config value - /continue — Restore the last saved conversation - /start — Reset conversation history - /prompt — Show the current system prompt - /help — Show help message

Summary

  • Implement tools as classes inheriting from ToolBase.
  • Provide type hints and parameter descriptions for the run method.
  • Use Google-style docstrings for both the class and the run method.
  • Registration will fail if any parameter is undocumented.
  • Update the tools README after adding a new tool.