result_utils

Class info

🛈 DocStrings

Response utilities.

resolve_response_type

resolve_response_type(
    type_name: str | InlineSchemaDef, context: AgentContext | None
) -> type[BaseModel]

Resolve response type from string name to actual type.

Parameters:

Name	Type	Description	Default
type_name	str | InlineSchemaDef	Name of the response type	required
context	AgentContext | None	Agent context containing response definitions	required

Returns:

Type	Description
type[BaseModel]	Resolved Pydantic model type

Raises:

Type	Description
ValueError	If type cannot be resolved

Source code in src/llmling_agent/utils/result_utils.py

def resolve_response_type(
    type_name: str | InlineSchemaDef,
    context: AgentContext | None,
) -> type[BaseModel]:  # type: ignore
    """Resolve response type from string name to actual type.

    Args:
        type_name: Name of the response type
        context: Agent context containing response definitions

    Returns:
        Resolved Pydantic model type

    Raises:
        ValueError: If type cannot be resolved
    """
    match type_name:
        case str() if context and type_name in context.definition.responses:
            defn = context.definition.responses[type_name]  # from defined responses
            return defn.response_schema.get_schema()
        case InlineSchemaDef():  # Handle inline definition
            return type_name.get_schema()
        case _:
            msg = f"Invalid result type: {type_name}"
            raise ValueError(msg)