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31 lines
1.2 KiB
Markdown
31 lines
1.2 KiB
Markdown
---
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title: "(Python) Pre and post processing"
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type: docs
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weight: 4
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description: >
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How to add pre and post processing to your Python toolbox applications.
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---
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## Prerequisites
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This tutorial assumes that you have set up a basic toolbox application as described in the [local quickstart](../../getting-started/local_quickstart).
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This guide demonstrates how to implement these patterns in your Toolbox applications.
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## Python
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{{< tabpane persist=header >}}
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{{% tab header="ADK" text=true %}}
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Coming soon.
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{{% /tab %}}
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{{% tab header="Langchain" text=true %}}
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The following example demonstrates how to use `ToolboxClient` with LangChain's middleware to implement pre and post processing for tool calls.
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```py
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{{< include "python/langchain/agent.py" >}}
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```
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For more information, see the [LangChain Middleware documentation](https://docs.langchain.com/oss/python/langchain/middleware/custom#wrap-style-hooks).
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You can also add model-level (`wrap_model`) and agent-level (`before_agent`, `after_agent`) hooks to intercept messages at different stages of the execution loop. See the [LangChain Middleware documentation](https://docs.langchain.com/oss/python/langchain/middleware/custom#wrap-style-hooks) for details on these additional hook types.
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{{% /tab %}}
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{{< /tabpane >}} |