Class Playbook (1.33.0) 

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