> ## Documentation Index
> Fetch the complete documentation index at: https://docs.neuraltrust.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Test Generation

### **Interaction**

An `Interaction` represents a single interaction between the LLM and the user. It includes the question posed to the LLM, the response generated by the LLM, and the evaluation context.

### EvaluationContext

The `EvaluationContext` is a class that contains the context of the evaluation i.e. the required data for and Evaluator to decide if a test case is passed or failed.

### **TestCase**

A `TestCase` consists of a list of `Interaction`. If a test case has more than one interaction, it means that the test case is a conversation between the LLM and the user.

### **TestSet**

A `TestSet` is a collection of `TestCase` objects. This serves as the container for all the test cases needed to evaluate the LLM on various tasks. The test set can be serialized to or deserialized from a dictionary format.

### **Objective**

An `Objective` defines a test goal. It includes an initial question (prompt) for the LLM and descriptions of what constitutes a true or false response. This is crucial for assessing the accuracy of the LLM’s responses.

### **Probe**

A `Probe` generates a `TestSet`. It is the algorithm that creates the prompt for evaluating the LLM, being malicious or funcional.

### **Knowledge Base**

A `KnowledgeBase` is a collection of documents that are used to generate test cases for a specific domain or task. Usually refered as the Vector Database for retrieval augmented generation (RAG).