agents.structured.prompts¶

Prompt templates for structured output agents.

This module provides prompt templates used by structured agents to guide the conversion of unstructured text into structured formats.

Functions¶

`create_contextual_prompt`(additional_context)	Create a prompt with custom context for specific extraction needs.
`get_prompt_for_model`(model_name[, custom_context])	Get the appropriate prompt for a given output model.

agents.structured.prompts.create_contextual_prompt(additional_context)¶

Create a prompt with custom context for specific extraction needs.

Parameters:: additional_context (str) – Additional instructions for extraction
Returns:: ChatPromptTemplate with the custom context
Return type:: langchain_core.prompts.ChatPromptTemplate

agents.structured.prompts.get_prompt_for_model(model_name, custom_context=None)¶

Get the appropriate prompt for a given output model.

Parameters:

model_name (str) – Name of the output model class
custom_context (str | None) – Optional custom context to override default

Returns:

ChatPromptTemplate for the model

Return type:

langchain_core.prompts.ChatPromptTemplate