Advanced Tool Configuration

Besides standard Pydantic features, you can also use a special ToolConfig class to customize tool behavior within the framework:

Available `ToolConfig` Parameters

The following parameters are supported, with version compatibility noted:

Name	Type	Description	When to Use	Default Value
`one_call_at_a_time`	`bool`	Prevents concurrent execution for a specific tool. If you want to adjust parallel tool calling for all tools, prefer configuring `model_settings=ModelSettings(parallel_tool_calls=...)`. Use this per-tool setting when you need strict sequencing.	Use for database operations, API calls with rate limits, or actions that depend on previous results.	`False`
`strict`	`bool`	Enables strict mode, which ensures the agent will always provide perfect tool inputs that 100% match your schema. Has limitations. See OpenAI Docs.	Use for mission-critical tools or tools that have nested Pydantic model schemas.	`False`

Usage

To use one of the available parameters, simply add a class ToolConfig block to your tool class:

class MyCustomTool(BaseTool):
    # ...

    class ToolConfig:
        one_call_at_a_time = True
        strict = False

    async def run(self):
        # ...

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Advanced Tool Configuration

Available `ToolConfig` Parameters

Usage

​Available ToolConfig Parameters

​Usage

Available `ToolConfig` Parameters

Usage