NeMo-Guardrails
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NVIDIA
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
this PR updates the user_guides to include both Colang 1 and 2 syntax using group tabs. Add tab groups in: - [x] docs/user_guides/advanced/extract-user-provided-values.md - [ ] docs/user_guides/advanced/bot-message-instructions.md
This PR facilitates the migration from both Colang 1.0 and Colang 2.0-alpha to Colang 2.x. It introduces a migration script with the following key features and fixes: - A new...
Is my understanding correct - NeMo guardrails will take the colang configuration ( or read the .co files from path ) and encode it to a vector space and then...
I'm looking for a way to override system function like generate user Intent, input check. I tried add function with @action(is_system=True) async def generate_user_intent(......)..... still I don't see any print...
Description: I'm encountering an error while running a Flask application that integrates Gemini models with NemoGuardRails. The error seems to be related to asynchronous task handling within LLMRails. Run below...
https://github.com/NVIDIA/NeMo-Guardrails/blob/develop/examples/scripts/demo_streaming.py I am trying to enable stream for my project using above. But somehow I'm not able to enable streaming. I use ollama model llama ``` history = [{"role": "user",...
Hello, I am currently working on a Retrieval-Augmented Generation (RAG) chatbot using LangChain and LangServe. I am attempting to integrate NeMo Guardrails into this system but am encountering issues with...
I am trying to integrate Nemo Guardrails with our hosted LLM Model. For that, I have created a Custom LLM Class. ```py class CustomLLM(BaseLanguageModel): async def agenerate_prompt(self, prompts, stop=None, callbacks=None,...
The changes include the addition of `__getstate__` and `__setstate__` and methods to the `LLMRails` class. These methods are used for pickling and unpickling of the class instance, allowing it to...