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Jeremiah Lowin 2025-06-09 20:44:13 -04:00
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10
docs/patterns/tool-transformation.mdx
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@ -93,7 +93,7 @@ To modify an argument, you need to create an `ArgTransform` object. This object
- `type`: The new type for the argument.
<Tip>
Certain combinations of parameters are not allowed. For example, you can only use `default_factory` with `hide=True`, because dynamic defaults cannot be represented in a JSON schema for the client. You can only set required=True
Certain combinations of parameters are not allowed. For example, you can only use `default_factory` with `hide=True`, because dynamic defaults cannot be represented in a JSON schema for the client. You can only set required=True for arguments that do not declare a default value.
</Tip>
@ -182,7 +182,11 @@ Default values are especially useful in combination with hidden arguments.
### Hiding Arguments
Sometimes a tool requires arguments that shouldn't be exposed to the LLM, such as API keys, configuration flags, or internal IDs. You can hide these parameters using `hide=True`. You can only hide arguments that already have a default value, or that you provide a new `default` or `default_factory` for.
Sometimes a tool requires arguments that shouldn't be exposed to the LLM, such as API keys, configuration flags, or internal IDs. You can hide these parameters using `hide=True`. Note that you can only hide arguments that have a default value (or for which you provide a new default), because the LLM can't provide a value at call time.
<Tip>
To pass a constant value to the parent tool, combine `hide=True` with `default=<value>`.
</Tip>
```python {19-20}
import os
@ -398,7 +402,7 @@ async def ensure_a_positive(a: int, **kwargs) -> int:
new_tool = Tool.from_tool(
add,
transform_fn=ensure_positive,
transform_fn=ensure_a_positive,
transform_args={
"x": ArgTransform(name="a"),
"y": ArgTransform(name="b"),