KernelFunctionTerminationStrategy Class
A termination strategy that uses a kernel function to determine termination.
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
KernelFunctionTerminationStrategy(*, maximum_iterations: int = 99, automatic_reset: bool = False, agents: list[Agent] = None, agent_variable_name: str | None = '_agent_', history_variable_name: str | None = '_history_', arguments: KernelArguments | None = None, function: KernelFunction, kernel: Kernel, result_parser: Callable[[...], bool] = None, history_reducer: ChatHistoryReducer | None = None)
Keyword-Only Parameters
Name | Description |
---|---|
maximum_iterations
|
Default value: 99
|
automatic_reset
Required
|
|
agents
Required
|
|
agent_variable_name
|
Default value: _agent_
|
history_variable_name
|
Default value: _history_
|
arguments
Required
|
|
function
Required
|
|
kernel
Required
|
|
result_parser
Required
|
|
history_reducer
Required
|
|
Methods
should_agent_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 |
Attributes
DEFAULT_AGENT_VARIABLE_NAME
DEFAULT_AGENT_VARIABLE_NAME: ClassVar[str] = '_agent_'
DEFAULT_HISTORY_VARIABLE_NAME
DEFAULT_HISTORY_VARIABLE_NAME: ClassVar[str] = '_history_'
agent_variable_name
agent_variable_name: str | None
agents
agents: list[Agent]
arguments
arguments: KernelArguments | None
automatic_reset
automatic_reset: bool
function
function: KernelFunction
history_reducer
history_reducer: ChatHistoryReducer | None
history_variable_name
history_variable_name: str | None
is_experimental
is_experimental = True
kernel
kernel: Kernel
maximum_iterations
maximum_iterations: int
result_parser
result_parser: Callable[[...], bool]
stage_status
stage_status = 'experimental'