mcp_kit.generators.llm

LLM-based response generator for realistic mock responses.

LlmAuthenticationError

class LlmAuthenticationError(Exception)

Exception raised when LLM authentication fails.

This exception is raised when the LLM service rejects the authentication credentials (API key, token, etc.).

LlmResponseGenerator

class LlmResponseGenerator(ToolResponseGenerator)

Generate mock responses using an LLM agent.

This generator uses a Large Language Model to create realistic mock responses based on the tool context, making it suitable for testing scenarios that require believable synthetic data.

__init__

def __init__(model: str)

Initialize the LLM response generator.

Arguments:

• model: The LLM model identifier to use for generation

from_config

@classmethod
def from_config(cls, config: DictConfig) -> Self

Create LLMResponseGenerator from configuration.

Arguments:

• config: Configuration data with required 'model' parameter

Raises:

• ValueError: If model parameter is missing from configuration

Returns:

LLMResponseGenerator instance

generate

async def generate(target_name: str,
                   tool: Tool,
                   arguments: dict[str, Any] | None = None) -> list[Content]

Generate mock response using the LLM agent.

Creates a contextual prompt based on the tool information and uses the configured LLM to generate a realistic response.

Arguments:

• target_name: Name of the target server
• tool: The MCP tool definition
• arguments: Arguments passed to the tool

Raises:

• LlmAuthenticationError: If LLM authentication fails
• ValueError: If the LLM response is empty

Returns:

List containing generated text content