Azure OpenAI with latest version of NVIDIA’S Nemo Guardrails throwing error

Troubleshooting Errors with Azure OpenAI and Latest NVIDIA Nemo Guardrails

In recent developments, I encountered an issue while working with Azure OpenAI, particularly when updating from version 0.11.0 to 0.14.0 of NVIDIA’s Nemo Guardrails. Initially, everything operated without a hitch, but since the upgrade, I have been facing persistent errors.

Upon thorough investigation, I verified that my model configurations were correctly set up in the configuration folder. Unfortunately, it appears that the new version of Nemo brought along some unexpected changes, which I could not find detailed in their documentation concerning model configuration adjustments.

The specific error I’m encountering is as follows:

File ".venv\Lib\site-packages\nemoguardrails\Ilm\models\langchain_initializer.py", line 193, in init_langchain_model
raise ModellnitializationError(base) from last_exception
nemoguardrails.Ilm.models.langchain_initializer.ModellnitializationError: Failed to initialize model 'gpt-40-mini' with provider 'azure' in 'chat' mode: ValueError encountered in initializer_init_text_completion_model(modes=['text', 'chat']) for model: gpt-40-mini and provider: azure: 1 validation error for OpenAIChat Value error, Did not find openai_api_key, please add an environment variable OPENAI_API_KEY which contains it, or pass openai_api_key as a named parameter.

The error message indicates that the system could not locate the OPENAI_API_KEY, which I need to either define as an environment variable or pass as a named parameter during initialization.

For those facing similar challenges, it would be beneficial to check your environment variables and ensure that all necessary keys are provided correctly. In addition, I would recommend looking through the release notes and documentation for any modifications that may have been introduced in version 0.14.0 of Nemo Guardrails that could affect the initialization process.

If anyone has insights or solutions regarding this matter, your input would be greatly appreciated! Let’s collaborate to resolve these technical hurdles together.

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