Unit Testing Prompts: The Key to Reliable AI in Production

Unit Testing Prompts in Local Large Language Models (LLMs) with Ollama

Unit testing prompts is essential when working with local large language models (LLMs), such as those provided by Ollama. This ensures that your applications are reliable and robust, even as LLMs evolve over time.

Why Unit Test Prompts?

1. Consistency: Ensure consistent behavior across different environments.
2. Reliability: Detect issues early in the development cycle.
3. Scalability: Maintain application quality as you scale up or integrate new features.

Key Concepts and Techniques

1. Prompt Validation

• JSON Parsing Robustness: Extract JSON from potentially malformed responses (e.g., code blocks).
• Structure Checks: Ensure required fields are present in the output.
• Semantic Checks: Verify that the response aligns with expected semantics, especially for high-priority inputs.

2. Integration into CI/CD

• Serverless Timeouts: Increase timeouts to handle LLM loading times.
• Async/Await Handling: Properly manage asynchronous operations in test runners.
• Token Drift: Focus on structure and semantic meaning rather than exact string matching.

Example: Unit

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