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## 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>
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title, type, weight, description
| title | type | weight | description |
|---|---|---|---|
| Python | docs | 1 | 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.
This guide demonstrates how to implement these patterns in your Toolbox applications.
Implementation
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Coming soon.
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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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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 for details on these additional hook types.
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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.
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