Class Playbook (1.33.0)

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Playbook(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Playbook is the basic building block to instruct the LLM how to execute a certain task.

A playbook consists of a goal to accomplish, an optional list of step by step instructions (the step instruction may refers to name of the custom or default plugin tools to use) to perform the task, a list of contextual input data to be passed in at the beginning of the invoked, and a list of output parameters to store the playbook result.

Attributes
Name	Description
name	str The unique identifier of the playbook. Format: projects/.
display_name	str Required. The human-readable name of the playbook, unique within an agent.
goal	str Required. High level description of the goal the playbook intend to accomplish.
input_parameter_definitions	MutableSequence[google.cloud.dialogflowcx_v3beta1.types.ParameterDefinition] Optional. Defined structured input parameters for this playbook.
output_parameter_definitions	MutableSequence[google.cloud.dialogflowcx_v3beta1.types.ParameterDefinition] Optional. Defined structured output parameters for this playbook.
steps	MutableSequence[google.cloud.dialogflowcx_v3beta1.types.Playbook.Step] Ordered list of step by step execution instructions to accomplish target goal.
token_count	int Output only. Estimated number of tokes current playbook takes when sent to the LLM.
create_time	google.protobuf.timestamp_pb2.Timestamp Output only. The timestamp of initial playbook creation.
update_time	google.protobuf.timestamp_pb2.Timestamp Output only. Last time the playbook version was updated.
referenced_playbooks	MutableSequence[str] Output only. The resource name of other playbooks referenced by the current playbook in the instructions.
referenced_flows	MutableSequence[str] Output only. The resource name of flows referenced by the current playbook in the instructions.
referenced_tools	MutableSequence[str] Optional. The resource name of tools referenced by the current playbook in the instructions. If not provided explicitly, they are will be implied using the tool being referenced in goal and steps.
llm_model_settings	google.cloud.dialogflowcx_v3beta1.types.LlmModelSettings Optional. Llm model settings for the playbook.

Classes

Step

Step(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Message of single step execution.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields