promptfoo/site/docs/providers/cloudera.md

sidebar_label	description
Cloudera	Configure Cloudera's OpenAI-compatible endpoints and Llama models for secure enterprise LLM testing with CDP authentication and custom namespace deployment

Cloudera

The Cloudera provider allows you to interact with Cloudera's AI endpoints using the OpenAI protocol. It supports chat completion models hosted on Cloudera's infrastructure.

Configuration

To use the Cloudera provider, you'll need:

1. A Cloudera domain
2. A CDP token for authentication
3. (Optional) A namespace and endpoint configuration

Set up your environment:

export CDP_DOMAIN=your-domain-here
export CDP_TOKEN=your-token-here

Basic Usage

Here's a basic example of how to use the Cloudera provider:

providers:
  - id: cloudera:your-model-name
    config:
      domain: your-domain # Optional if CDP_DOMAIN is set
      namespace: serving-default # Optional, defaults to 'serving-default'
      endpoint: your-endpoint # Optional, defaults to model name

Configuration Options

The Cloudera provider supports all the standard OpenAI configuration options plus these additional Cloudera-specific options:

Parameter	Description
domain	The Cloudera domain to use. Can also be set via CDP_DOMAIN environment variable.
namespace	The namespace to use. Defaults to 'serving-default'.
endpoint	The endpoint to use. Defaults to the model name if not specified.

Example with full configuration:

providers:
  - id: cloudera:llama-3-1
    config:
      # Cloudera-specific options
      domain: your-domain
      namespace: serving-default
      endpoint: llama-3-1

      # Standard OpenAI options
      temperature: 0.7
      max_tokens: 200
      top_p: 1
      frequency_penalty: 0
      presence_penalty: 0

Environment Variables

The following environment variables are supported:

Variable	Description
CDP_DOMAIN	The Cloudera domain to use for API requests
CDP_TOKEN	The authentication token for Cloudera API access

API Compatibility

The Cloudera provider is built on top of the OpenAI protocol, which means it supports the same message format and most of the same parameters as the OpenAI Chat API. This includes:

• Chat message formatting with roles (system, user, assistant)
• Temperature and other generation parameters
• Token limits and other constraints

Example chat conversation:

prompts:
  - 'You are a helpful assistant. Answer the following question: {{user_input}}'

providers:
  - id: cloudera:llama-3-1
    config:
      temperature: 0.7
      max_tokens: 200

tests:
  - vars:
      user_input: 'What should I do for a 4 day vacation in Spain?'

Troubleshooting

If you encounter issues:

1. Verify your CDP_TOKEN and CDP_DOMAIN are correctly set
2. Check that the namespace and endpoint exist and are accessible
3. Ensure your model name matches the endpoint configuration
4. Verify your token has the necessary permissions to access the endpoint