Guard as action #810
Guard as action #810
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@Pouyanpi, this is one half of the upcoming integration with Guardrails AI -- they've got the other half on their side. |
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| def register_guardrails_guard_actions(rails: LLMRails, guard: Guard, guard_name: str): | ||
| def fix_action(text, metadata={}): | ||
| return guard.validate(llm_output=text, metadata=metadata).validated_output |
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Hi @zsimjee, is your PR ready for review? If it is, please mark it as ready for review. Thanks 👍 |
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Please make necessary adjustments and move this to https://github.com/NVIDIA/NeMo-Guardrails/blob/develop/docs/user_guides/community
And you can add a brief intro to it similar to the other community integerations at https://github.com/NVIDIA/NeMo-Guardrails/blob/develop/docs/user_guides/guardrails-library.md
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Notebooks should be placed at https://github.com/NVIDIA/NeMo-Guardrails/tree/develop/examples/notebooks
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I need to review it more closely, but this is not consistent with other community integrations. Please have a look at https://github.com/NVIDIA/NeMo-Guardrails/tree/develop/nemoguardrails/library
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This was built in the model of the langchain integration, not for a single guardrail. It's a framework level integration that gives nemoguardrails users access to 60+ validators available on the hub and the features , not a singular type of guardrail.
pyproject.toml
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pyproject.toml will only include the core dependencies. Other integerations have either instructed the user in docs on what are the requirements or have included a
requirements.txt at https://github.com/NVIDIA/NeMo-Guardrails/tree/develop/nemoguardrails/library
I can also suggest you to use a lazy import and raise an error to install the package with the desired constraint. Deffered imports delay ImportError or ModuleNotFoundError exceptions for optional dependencies until the specific functionality is invoked, and you can instruct the user to install the package, look how it is used in the package 
Signed-off-by: Zayd <[email protected]>
Description
This PR contains helper functions and docs that show nemoguardrails users how to use Guardrails AI-style validation in their nemoguardrails code flow.
Related Issue(s)
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