TerminationStrategy Class

A strategy for determining when an agent should terminate.

Note: This class is marked as 'experimental' and may change in the future.

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.

Constructor

TerminationStrategy(*, maximum_iterations: int = 99, automatic_reset: bool = False, agents: list[Agent] = None)

Keyword-Only Parameters

Name	Description
maximum_iterations	Default value: 99
automatic_reset Required
agents Required

Methods

should_agent_terminate	Check if the agent should terminate.
should_terminate	Check if the agent should terminate.

should_agent_terminate

Check if the agent should terminate.

async should_agent_terminate(agent: Agent, history: list[ChatMessageContent]) -> bool

Parameters

Name	Description
agent Required	The agent to check.
history Required	The history of messages in the conversation.

Returns

Type	Description
	True if the agent should terminate, False otherwise

should_terminate

Check if the agent should terminate.

async should_terminate(agent: Agent, history: list[ChatMessageContent]) -> bool

Parameters

Name	Description
agent Required	The agent to check.
history Required	The history of messages in the conversation.

Returns

Type	Description
	True if the agent should terminate, False otherwise

Attributes

agents

agents: list[Agent]

automatic_reset

automatic_reset: bool

is_experimental

is_experimental = True

maximum_iterations

maximum_iterations: int

stage_status

stage_status = 'experimental'