langgraph_agent_toolkit.agents.blueprints.interrupt_agent.agent module

class langgraph_agent_toolkit.agents.blueprints.interrupt_agent.agent.AgentState[source][source]

Bases: MessagesState

State that permits optional keys.

birthdate: datetime | None
messages: _add_messages at 0x7f1491b2efc0>]
langgraph_agent_toolkit.agents.blueprints.interrupt_agent.agent.wrap_model(model, system_prompt)[source][source]
Parameters:

  • model (BaseChatModel | Runnable[PromptValue | str | Sequence[BaseMessage | list[str] | tuple[str, str | list[str | dict[str, Any]]] | str | dict[str, Any]], Any])

  • system_prompt (BaseMessage)

Return type:

RunnableSerializable[Any, BaseMessage]

async langgraph_agent_toolkit.agents.blueprints.interrupt_agent.agent.background(state, config)[source][source]

Run a model call before the interrupt.

Parameters:
Return type:

AgentState

class langgraph_agent_toolkit.agents.blueprints.interrupt_agent.agent.BirthdateExtraction(*, birthdate, reasoning)[source][source]

Bases: BaseModel

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:

  • birthdate (str | None)

  • reasoning (str)

birthdate: str | None
reasoning: str
model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

async langgraph_agent_toolkit.agents.blueprints.interrupt_agent.agent.determine_birthdate(state, config)[source][source]

Find the user’s birthdate in the conversation history.

Interrupt when no birthdate is found.

Parameters:
Return type:

AgentState

async langgraph_agent_toolkit.agents.blueprints.interrupt_agent.agent.determine_sign(state, config)[source][source]

Determine the user’s zodiac sign from their birthdate.

Parameters:
Return type:

AgentState