Dialogflow API . projects . locations . agents . playbooks . examples

Instance Methods

close()

Close httplib2 connections.

create(parent, body=None, x__xgafv=None)

Creates an example in the specified playbook.

delete(name, x__xgafv=None)

Deletes the specified example.

get(name, x__xgafv=None)

Retrieves the specified example.

list(parent, languageCode=None, pageSize=None, pageToken=None, x__xgafv=None)

Returns a list of examples in the specified playbook.

list_next()

Retrieves the next page of results.

patch(name, body=None, updateMask=None, x__xgafv=None)

Update the specified example.

Method Details

close()
Close httplib2 connections.
create(parent, body=None, x__xgafv=None)
Creates an example in the specified playbook.

Args:
  parent: string, Required. The playbook to create an example for. Format: `projects//locations//agents//playbooks/`. (required)
  body: object, The request body.
    The object takes the form of:

{ # Example represents a sample execution of the playbook in the conversation. An example consists of a list of ordered actions performed by end user or Dialogflow agent according the playbook instructions to fulfill the task.
  "actions": [ # Required. The ordered list of actions performed by the end user and the Dialogflow agent.
    { # Action performed by end user or Dialogflow agent in the conversation.
      "agentUtterance": { # AgentUtterance represents one message sent by the agent. # Optional. Action performed by the agent as a message.
        "text": "A String", # Required. Message content in text.
      },
      "flowInvocation": { # Stores metadata of the invocation of a CX flow. Next Id: 7 # Optional. Action performed on behalf of the agent by invoking a CX flow.
        "flow": "A String", # Required. The unique identifier of the flow. Format: `projects//locations//agents//flows/`.
        "flowState": "A String", # Required. Flow invocation's output state.
        "inputActionParameters": { # Optional. A list of input parameters for the flow.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the flow invocation.
          "a_key": "", # Properties of the object.
        },
      },
      "playbookInvocation": { # Stores metadata of the invocation of a child playbook. Next Id: 5 # Optional. Action performed on behalf of the agent by invoking a child playbook.
        "playbook": "A String", # Required. The unique identifier of the playbook. Format: `projects//locations//agents//playbooks/`.
        "playbookInput": { # Input of the playbook. # Optional. Input of the child playbook invocation.
          "actionParameters": { # Optional. A list of input parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
        },
        "playbookOutput": { # Output of the playbook. # Optional. Output of the child playbook invocation.
          "actionParameters": { # Optional. A Struct object of output parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
        },
        "playbookState": "A String", # Required. Playbook invocation's output state.
      },
      "toolUse": { # Stores metadata of the invocation of an action supported by a tool. # Optional. Action performed on behalf of the agent by calling a plugin tool.
        "action": "A String", # Optional. Name of the action to be called during the tool use.
        "inputActionParameters": { # Optional. A list of input parameters for the action.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the action.
          "a_key": "", # Properties of the object.
        },
        "tool": "A String", # Required. The tool that should be used. Format: `projects//locations//agents//tools/`.
      },
      "userUtterance": { # UserUtterance represents one message sent by the customer. # Optional. Agent obtained a message from the customer.
        "text": "A String", # Required. Message content in text.
      },
    },
  ],
  "conversationState": "A String", # Required. Example's output state.
  "createTime": "A String", # Output only. The timestamp of initial example creation.
  "description": "A String", # Optional. The high level concise description of the example. The max number of characters is 200.
  "displayName": "A String", # Required. The display name of the example.
  "languageCode": "A String", # Optional. The language code of the example. If not specified, the agent's default language is used. Note: languages must be enabled in the agent before they can be used. Note: example's language code is not currently used in dialogflow agents.
  "name": "A String", # The unique identifier of the playbook example. Format: `projects//locations//agents//playbooks//examples/`.
  "playbookInput": { # Input of the playbook. # Optional. The input to the playbook in the example.
    "actionParameters": { # Optional. A list of input parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
  },
  "playbookOutput": { # Output of the playbook. # Optional. The output of the playbook in the example.
    "actionParameters": { # Optional. A Struct object of output parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
  },
  "tokenCount": "A String", # Output only. Estimated number of tokes current example takes when sent to the LLM.
  "updateTime": "A String", # Output only. Last time the example was updated.
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Example represents a sample execution of the playbook in the conversation. An example consists of a list of ordered actions performed by end user or Dialogflow agent according the playbook instructions to fulfill the task.
  "actions": [ # Required. The ordered list of actions performed by the end user and the Dialogflow agent.
    { # Action performed by end user or Dialogflow agent in the conversation.
      "agentUtterance": { # AgentUtterance represents one message sent by the agent. # Optional. Action performed by the agent as a message.
        "text": "A String", # Required. Message content in text.
      },
      "flowInvocation": { # Stores metadata of the invocation of a CX flow. Next Id: 7 # Optional. Action performed on behalf of the agent by invoking a CX flow.
        "flow": "A String", # Required. The unique identifier of the flow. Format: `projects//locations//agents//flows/`.
        "flowState": "A String", # Required. Flow invocation's output state.
        "inputActionParameters": { # Optional. A list of input parameters for the flow.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the flow invocation.
          "a_key": "", # Properties of the object.
        },
      },
      "playbookInvocation": { # Stores metadata of the invocation of a child playbook. Next Id: 5 # Optional. Action performed on behalf of the agent by invoking a child playbook.
        "playbook": "A String", # Required. The unique identifier of the playbook. Format: `projects//locations//agents//playbooks/`.
        "playbookInput": { # Input of the playbook. # Optional. Input of the child playbook invocation.
          "actionParameters": { # Optional. A list of input parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
        },
        "playbookOutput": { # Output of the playbook. # Optional. Output of the child playbook invocation.
          "actionParameters": { # Optional. A Struct object of output parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
        },
        "playbookState": "A String", # Required. Playbook invocation's output state.
      },
      "toolUse": { # Stores metadata of the invocation of an action supported by a tool. # Optional. Action performed on behalf of the agent by calling a plugin tool.
        "action": "A String", # Optional. Name of the action to be called during the tool use.
        "inputActionParameters": { # Optional. A list of input parameters for the action.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the action.
          "a_key": "", # Properties of the object.
        },
        "tool": "A String", # Required. The tool that should be used. Format: `projects//locations//agents//tools/`.
      },
      "userUtterance": { # UserUtterance represents one message sent by the customer. # Optional. Agent obtained a message from the customer.
        "text": "A String", # Required. Message content in text.
      },
    },
  ],
  "conversationState": "A String", # Required. Example's output state.
  "createTime": "A String", # Output only. The timestamp of initial example creation.
  "description": "A String", # Optional. The high level concise description of the example. The max number of characters is 200.
  "displayName": "A String", # Required. The display name of the example.
  "languageCode": "A String", # Optional. The language code of the example. If not specified, the agent's default language is used. Note: languages must be enabled in the agent before they can be used. Note: example's language code is not currently used in dialogflow agents.
  "name": "A String", # The unique identifier of the playbook example. Format: `projects//locations//agents//playbooks//examples/`.
  "playbookInput": { # Input of the playbook. # Optional. The input to the playbook in the example.
    "actionParameters": { # Optional. A list of input parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
  },
  "playbookOutput": { # Output of the playbook. # Optional. The output of the playbook in the example.
    "actionParameters": { # Optional. A Struct object of output parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
  },
  "tokenCount": "A String", # Output only. Estimated number of tokes current example takes when sent to the LLM.
  "updateTime": "A String", # Output only. Last time the example was updated.
}
delete(name, x__xgafv=None)
Deletes the specified example.

Args:
  name: string, Required. The name of the example to delete. Format: `projects//locations//agents//playbooks//examples/`. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
}
get(name, x__xgafv=None)
Retrieves the specified example.

Args:
  name: string, Required. The name of the example. Format: `projects//locations//agents//playbooks//examples/`. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Example represents a sample execution of the playbook in the conversation. An example consists of a list of ordered actions performed by end user or Dialogflow agent according the playbook instructions to fulfill the task.
  "actions": [ # Required. The ordered list of actions performed by the end user and the Dialogflow agent.
    { # Action performed by end user or Dialogflow agent in the conversation.
      "agentUtterance": { # AgentUtterance represents one message sent by the agent. # Optional. Action performed by the agent as a message.
        "text": "A String", # Required. Message content in text.
      },
      "flowInvocation": { # Stores metadata of the invocation of a CX flow. Next Id: 7 # Optional. Action performed on behalf of the agent by invoking a CX flow.
        "flow": "A String", # Required. The unique identifier of the flow. Format: `projects//locations//agents//flows/`.
        "flowState": "A String", # Required. Flow invocation's output state.
        "inputActionParameters": { # Optional. A list of input parameters for the flow.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the flow invocation.
          "a_key": "", # Properties of the object.
        },
      },
      "playbookInvocation": { # Stores metadata of the invocation of a child playbook. Next Id: 5 # Optional. Action performed on behalf of the agent by invoking a child playbook.
        "playbook": "A String", # Required. The unique identifier of the playbook. Format: `projects//locations//agents//playbooks/`.
        "playbookInput": { # Input of the playbook. # Optional. Input of the child playbook invocation.
          "actionParameters": { # Optional. A list of input parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
        },
        "playbookOutput": { # Output of the playbook. # Optional. Output of the child playbook invocation.
          "actionParameters": { # Optional. A Struct object of output parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
        },
        "playbookState": "A String", # Required. Playbook invocation's output state.
      },
      "toolUse": { # Stores metadata of the invocation of an action supported by a tool. # Optional. Action performed on behalf of the agent by calling a plugin tool.
        "action": "A String", # Optional. Name of the action to be called during the tool use.
        "inputActionParameters": { # Optional. A list of input parameters for the action.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the action.
          "a_key": "", # Properties of the object.
        },
        "tool": "A String", # Required. The tool that should be used. Format: `projects//locations//agents//tools/`.
      },
      "userUtterance": { # UserUtterance represents one message sent by the customer. # Optional. Agent obtained a message from the customer.
        "text": "A String", # Required. Message content in text.
      },
    },
  ],
  "conversationState": "A String", # Required. Example's output state.
  "createTime": "A String", # Output only. The timestamp of initial example creation.
  "description": "A String", # Optional. The high level concise description of the example. The max number of characters is 200.
  "displayName": "A String", # Required. The display name of the example.
  "languageCode": "A String", # Optional. The language code of the example. If not specified, the agent's default language is used. Note: languages must be enabled in the agent before they can be used. Note: example's language code is not currently used in dialogflow agents.
  "name": "A String", # The unique identifier of the playbook example. Format: `projects//locations//agents//playbooks//examples/`.
  "playbookInput": { # Input of the playbook. # Optional. The input to the playbook in the example.
    "actionParameters": { # Optional. A list of input parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
  },
  "playbookOutput": { # Output of the playbook. # Optional. The output of the playbook in the example.
    "actionParameters": { # Optional. A Struct object of output parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
  },
  "tokenCount": "A String", # Output only. Estimated number of tokes current example takes when sent to the LLM.
  "updateTime": "A String", # Output only. Last time the example was updated.
}
list(parent, languageCode=None, pageSize=None, pageToken=None, x__xgafv=None)
Returns a list of examples in the specified playbook.

Args:
  parent: string, Required. The playbook to list the examples from. Format: `projects//locations//agents//playbooks/`. (required)
  languageCode: string, Optional. The language to list examples for. If not specified, list all examples under the playbook. Note: languages must be enabled in the agent before they can be used.
  pageSize: integer, Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
  pageToken: string, Optional. The next_page_token value returned from a previous list request.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The response message for Examples.ListExamples.
  "examples": [ # The list of examples. There will be a maximum number of items returned based on the page_size field in the request.
    { # Example represents a sample execution of the playbook in the conversation. An example consists of a list of ordered actions performed by end user or Dialogflow agent according the playbook instructions to fulfill the task.
      "actions": [ # Required. The ordered list of actions performed by the end user and the Dialogflow agent.
        { # Action performed by end user or Dialogflow agent in the conversation.
          "agentUtterance": { # AgentUtterance represents one message sent by the agent. # Optional. Action performed by the agent as a message.
            "text": "A String", # Required. Message content in text.
          },
          "flowInvocation": { # Stores metadata of the invocation of a CX flow. Next Id: 7 # Optional. Action performed on behalf of the agent by invoking a CX flow.
            "flow": "A String", # Required. The unique identifier of the flow. Format: `projects//locations//agents//flows/`.
            "flowState": "A String", # Required. Flow invocation's output state.
            "inputActionParameters": { # Optional. A list of input parameters for the flow.
              "a_key": "", # Properties of the object.
            },
            "outputActionParameters": { # Optional. A list of output parameters generated by the flow invocation.
              "a_key": "", # Properties of the object.
            },
          },
          "playbookInvocation": { # Stores metadata of the invocation of a child playbook. Next Id: 5 # Optional. Action performed on behalf of the agent by invoking a child playbook.
            "playbook": "A String", # Required. The unique identifier of the playbook. Format: `projects//locations//agents//playbooks/`.
            "playbookInput": { # Input of the playbook. # Optional. Input of the child playbook invocation.
              "actionParameters": { # Optional. A list of input parameters for the action.
                "a_key": "", # Properties of the object.
              },
              "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
            },
            "playbookOutput": { # Output of the playbook. # Optional. Output of the child playbook invocation.
              "actionParameters": { # Optional. A Struct object of output parameters for the action.
                "a_key": "", # Properties of the object.
              },
              "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
            },
            "playbookState": "A String", # Required. Playbook invocation's output state.
          },
          "toolUse": { # Stores metadata of the invocation of an action supported by a tool. # Optional. Action performed on behalf of the agent by calling a plugin tool.
            "action": "A String", # Optional. Name of the action to be called during the tool use.
            "inputActionParameters": { # Optional. A list of input parameters for the action.
              "a_key": "", # Properties of the object.
            },
            "outputActionParameters": { # Optional. A list of output parameters generated by the action.
              "a_key": "", # Properties of the object.
            },
            "tool": "A String", # Required. The tool that should be used. Format: `projects//locations//agents//tools/`.
          },
          "userUtterance": { # UserUtterance represents one message sent by the customer. # Optional. Agent obtained a message from the customer.
            "text": "A String", # Required. Message content in text.
          },
        },
      ],
      "conversationState": "A String", # Required. Example's output state.
      "createTime": "A String", # Output only. The timestamp of initial example creation.
      "description": "A String", # Optional. The high level concise description of the example. The max number of characters is 200.
      "displayName": "A String", # Required. The display name of the example.
      "languageCode": "A String", # Optional. The language code of the example. If not specified, the agent's default language is used. Note: languages must be enabled in the agent before they can be used. Note: example's language code is not currently used in dialogflow agents.
      "name": "A String", # The unique identifier of the playbook example. Format: `projects//locations//agents//playbooks//examples/`.
      "playbookInput": { # Input of the playbook. # Optional. The input to the playbook in the example.
        "actionParameters": { # Optional. A list of input parameters for the action.
          "a_key": "", # Properties of the object.
        },
        "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
      },
      "playbookOutput": { # Output of the playbook. # Optional. The output of the playbook in the example.
        "actionParameters": { # Optional. A Struct object of output parameters for the action.
          "a_key": "", # Properties of the object.
        },
        "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
      },
      "tokenCount": "A String", # Output only. Estimated number of tokes current example takes when sent to the LLM.
      "updateTime": "A String", # Output only. Last time the example was updated.
    },
  ],
  "nextPageToken": "A String", # Token to retrieve the next page of results, or empty if there are no more results in the list.
}
list_next()
Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call 'execute()' on to request the next
          page. Returns None if there are no more items in the collection.
        
patch(name, body=None, updateMask=None, x__xgafv=None)
Update the specified example.

Args:
  name: string, The unique identifier of the playbook example. Format: `projects//locations//agents//playbooks//examples/`. (required)
  body: object, The request body.
    The object takes the form of:

{ # Example represents a sample execution of the playbook in the conversation. An example consists of a list of ordered actions performed by end user or Dialogflow agent according the playbook instructions to fulfill the task.
  "actions": [ # Required. The ordered list of actions performed by the end user and the Dialogflow agent.
    { # Action performed by end user or Dialogflow agent in the conversation.
      "agentUtterance": { # AgentUtterance represents one message sent by the agent. # Optional. Action performed by the agent as a message.
        "text": "A String", # Required. Message content in text.
      },
      "flowInvocation": { # Stores metadata of the invocation of a CX flow. Next Id: 7 # Optional. Action performed on behalf of the agent by invoking a CX flow.
        "flow": "A String", # Required. The unique identifier of the flow. Format: `projects//locations//agents//flows/`.
        "flowState": "A String", # Required. Flow invocation's output state.
        "inputActionParameters": { # Optional. A list of input parameters for the flow.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the flow invocation.
          "a_key": "", # Properties of the object.
        },
      },
      "playbookInvocation": { # Stores metadata of the invocation of a child playbook. Next Id: 5 # Optional. Action performed on behalf of the agent by invoking a child playbook.
        "playbook": "A String", # Required. The unique identifier of the playbook. Format: `projects//locations//agents//playbooks/`.
        "playbookInput": { # Input of the playbook. # Optional. Input of the child playbook invocation.
          "actionParameters": { # Optional. A list of input parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
        },
        "playbookOutput": { # Output of the playbook. # Optional. Output of the child playbook invocation.
          "actionParameters": { # Optional. A Struct object of output parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
        },
        "playbookState": "A String", # Required. Playbook invocation's output state.
      },
      "toolUse": { # Stores metadata of the invocation of an action supported by a tool. # Optional. Action performed on behalf of the agent by calling a plugin tool.
        "action": "A String", # Optional. Name of the action to be called during the tool use.
        "inputActionParameters": { # Optional. A list of input parameters for the action.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the action.
          "a_key": "", # Properties of the object.
        },
        "tool": "A String", # Required. The tool that should be used. Format: `projects//locations//agents//tools/`.
      },
      "userUtterance": { # UserUtterance represents one message sent by the customer. # Optional. Agent obtained a message from the customer.
        "text": "A String", # Required. Message content in text.
      },
    },
  ],
  "conversationState": "A String", # Required. Example's output state.
  "createTime": "A String", # Output only. The timestamp of initial example creation.
  "description": "A String", # Optional. The high level concise description of the example. The max number of characters is 200.
  "displayName": "A String", # Required. The display name of the example.
  "languageCode": "A String", # Optional. The language code of the example. If not specified, the agent's default language is used. Note: languages must be enabled in the agent before they can be used. Note: example's language code is not currently used in dialogflow agents.
  "name": "A String", # The unique identifier of the playbook example. Format: `projects//locations//agents//playbooks//examples/`.
  "playbookInput": { # Input of the playbook. # Optional. The input to the playbook in the example.
    "actionParameters": { # Optional. A list of input parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
  },
  "playbookOutput": { # Output of the playbook. # Optional. The output of the playbook in the example.
    "actionParameters": { # Optional. A Struct object of output parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
  },
  "tokenCount": "A String", # Output only. Estimated number of tokes current example takes when sent to the LLM.
  "updateTime": "A String", # Output only. Last time the example was updated.
}

  updateMask: string, Optional. The mask to control which fields get updated. If the mask is not present, all fields will be updated.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Example represents a sample execution of the playbook in the conversation. An example consists of a list of ordered actions performed by end user or Dialogflow agent according the playbook instructions to fulfill the task.
  "actions": [ # Required. The ordered list of actions performed by the end user and the Dialogflow agent.
    { # Action performed by end user or Dialogflow agent in the conversation.
      "agentUtterance": { # AgentUtterance represents one message sent by the agent. # Optional. Action performed by the agent as a message.
        "text": "A String", # Required. Message content in text.
      },
      "flowInvocation": { # Stores metadata of the invocation of a CX flow. Next Id: 7 # Optional. Action performed on behalf of the agent by invoking a CX flow.
        "flow": "A String", # Required. The unique identifier of the flow. Format: `projects//locations//agents//flows/`.
        "flowState": "A String", # Required. Flow invocation's output state.
        "inputActionParameters": { # Optional. A list of input parameters for the flow.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the flow invocation.
          "a_key": "", # Properties of the object.
        },
      },
      "playbookInvocation": { # Stores metadata of the invocation of a child playbook. Next Id: 5 # Optional. Action performed on behalf of the agent by invoking a child playbook.
        "playbook": "A String", # Required. The unique identifier of the playbook. Format: `projects//locations//agents//playbooks/`.
        "playbookInput": { # Input of the playbook. # Optional. Input of the child playbook invocation.
          "actionParameters": { # Optional. A list of input parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
        },
        "playbookOutput": { # Output of the playbook. # Optional. Output of the child playbook invocation.
          "actionParameters": { # Optional. A Struct object of output parameters for the action.
            "a_key": "", # Properties of the object.
          },
          "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
        },
        "playbookState": "A String", # Required. Playbook invocation's output state.
      },
      "toolUse": { # Stores metadata of the invocation of an action supported by a tool. # Optional. Action performed on behalf of the agent by calling a plugin tool.
        "action": "A String", # Optional. Name of the action to be called during the tool use.
        "inputActionParameters": { # Optional. A list of input parameters for the action.
          "a_key": "", # Properties of the object.
        },
        "outputActionParameters": { # Optional. A list of output parameters generated by the action.
          "a_key": "", # Properties of the object.
        },
        "tool": "A String", # Required. The tool that should be used. Format: `projects//locations//agents//tools/`.
      },
      "userUtterance": { # UserUtterance represents one message sent by the customer. # Optional. Agent obtained a message from the customer.
        "text": "A String", # Required. Message content in text.
      },
    },
  ],
  "conversationState": "A String", # Required. Example's output state.
  "createTime": "A String", # Output only. The timestamp of initial example creation.
  "description": "A String", # Optional. The high level concise description of the example. The max number of characters is 200.
  "displayName": "A String", # Required. The display name of the example.
  "languageCode": "A String", # Optional. The language code of the example. If not specified, the agent's default language is used. Note: languages must be enabled in the agent before they can be used. Note: example's language code is not currently used in dialogflow agents.
  "name": "A String", # The unique identifier of the playbook example. Format: `projects//locations//agents//playbooks//examples/`.
  "playbookInput": { # Input of the playbook. # Optional. The input to the playbook in the example.
    "actionParameters": { # Optional. A list of input parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "precedingConversationSummary": "A String", # Optional. Summary string of the preceding conversation for the child playbook invocation.
  },
  "playbookOutput": { # Output of the playbook. # Optional. The output of the playbook in the example.
    "actionParameters": { # Optional. A Struct object of output parameters for the action.
      "a_key": "", # Properties of the object.
    },
    "executionSummary": "A String", # Optional. Summary string of the execution result of the child playbook.
  },
  "tokenCount": "A String", # Output only. Estimated number of tokes current example takes when sent to the LLM.
  "updateTime": "A String", # Output only. Last time the example was updated.
}