mirror of
https://github.com/googleapis/genai-toolbox.git
synced 2026-02-11 07:35:05 -05:00
docs: add pre/post processing docs for langchain python (#2378)
## Description Trigger has been tested corresponding to local changes. Latest successful run: https://pantheon.corp.google.com/cloud-build/builds;region=global/1c37031f-95f1-4c6c-9ef8-0452277599d5?e=13802955&mods=-autopush_coliseum&project=toolbox-testing-438616 Note: After merging, update python pre and post processing sample testing trigger. ## PR Checklist > Thank you for opening a Pull Request! Before submitting your PR, there are a > few things you can do to make sure it goes smoothly: - [x] Make sure you reviewed [CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md) - [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) - [ ] Make sure to add `!` if this involve a breaking change 🛠️ Fixes #<issue_number_goes_here> --------- Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com> Co-authored-by: Averi Kitsch <akitsch@google.com>
This commit is contained in:
40
docs/en/samples/pre_post_processing/python.md
Normal file
40
docs/en/samples/pre_post_processing/python.md
Normal file
@@ -0,0 +1,40 @@
|
||||
---
|
||||
title: "Python"
|
||||
type: docs
|
||||
weight: 1
|
||||
description: >
|
||||
How to add pre- and post- processing to your Agents using Python.
|
||||
---
|
||||
|
||||
## Prerequisites
|
||||
|
||||
This tutorial assumes that you have set up Toolbox with a basic agent as described in the [local quickstart](../../getting-started/local_quickstart.md).
|
||||
|
||||
This guide demonstrates how to implement these patterns in your Toolbox applications.
|
||||
|
||||
## Implementation
|
||||
|
||||
{{< tabpane persist=header >}}
|
||||
{{% tab header="ADK" text=true %}}
|
||||
Coming soon.
|
||||
{{% /tab %}}
|
||||
{{% tab header="Langchain" text=true %}}
|
||||
The following example demonstrates how to use `ToolboxClient` with LangChain's middleware to implement pre- and post- processing for tool calls.
|
||||
|
||||
```py
|
||||
{{< include "python/langchain/agent.py" >}}
|
||||
```
|
||||
|
||||
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.
|
||||
{{% /tab %}}
|
||||
{{< /tabpane >}}
|
||||
|
||||
## Results
|
||||
|
||||
The output should look similar to the following. Note that exact responses may vary due to the non-deterministic nature of LLMs and differences between orchestration frameworks.
|
||||
|
||||
```
|
||||
AI: Booking Confirmed! You earned 500 Loyalty Points with this stay.
|
||||
|
||||
AI: Error: Maximum stay duration is 14 days.
|
||||
```
|
||||
Reference in New Issue
Block a user