close()

Close httplib2 connections.

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

Creates a new Agent in a given location.

Args:
parent: string, Required. The resource name of the location to create the agent in. Format: `projects/{project}/locations/{location}`. (required)
body: object, The request body.
The object takes the form of:

{ # A Vertex agent contains instructions and configurations for the LLM to execute a certain task.
"base_agent": "A String", # Required. The base agent of the agent. Supported values: - "antigravity-preview-05-2026"
"base_environment": "", # Optional. The environment config of the agent. Valid types are: - string value for environment_id, or 'remote' for default - struct value for EnvironmentConfig.
"created": "A String", # Output only. Timestamp when the agent was created.
"description": "A String", # Optional. The description of the agent.
"id": "A String", # Immutable. The ID to use for agent, which will become the final component of the agent resource name. If not provided, Vertex AI will generate a value for this ID. This value may be up to 63 characters, and valid characters are `[a-z0-9-]`. The first character must be a letter, the last character must be a letter or number.
"metadata": { # Optional. The metadata of the agent.
"a_key": "A String",
},
"name": "A String", # Identifier. The resource name of the Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
"object": "A String", # Output only. The object type of this resource. Always set to "agent" in this case.
"system_instruction": "A String", # Optional. The detailed struction that the agent should follow. The instruction is passed to LLM as system instruction.
"tools": [ # Optional. A list of tools that are available for the agent during the process of execucting the task.
{ # A tool provides a list of actions that are available for the Agent during the process of executing the task.
"headers": { # Optional. Headers for the MCP server (e.g., authentication). Only applicable when `type` is "mcp".
"a_key": "A String",
},
"name": "A String", # Optional. The name of the MCP server. Only applicable when `type` is "mcp".
"type": "A String", # Required. Type of the tool. Supported types: - "code_execution" - "filesystem" - "google_search" - "mcp" - "url_context"
"url": "A String", # Optional. The full URL for the MCP server endpoint. Only applicable when `type` is "mcp".
},
],
"updated": "A String", # Output only. Timestamp when the agent was last updated.
}

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

Returns:
An object of the form:

{ # This resource represents a long-running operation that is the result of a network API call.
"done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
"response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
}

delete(name, x__xgafv=None)

Deletes the specific Agent.

Args:
name: string, Required. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}` (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # This resource represents a long-running operation that is the result of a network API call.
"done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
"response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
}

get(name, x__xgafv=None)

Gets details of the specific Agent.

Args:
  name: string, Required. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # A Vertex agent contains instructions and configurations for the LLM to execute a certain task.
  "base_agent": "A String", # Required. The base agent of the agent. Supported values: - "antigravity-preview-05-2026"
  "base_environment": "", # Optional. The environment config of the agent. Valid types are: - string value for environment_id, or 'remote' for default - struct value for EnvironmentConfig.
  "created": "A String", # Output only. Timestamp when the agent was created.
  "description": "A String", # Optional. The description of the agent.
  "id": "A String", # Immutable. The ID to use for agent, which will become the final component of the agent resource name. If not provided, Vertex AI will generate a value for this ID. This value may be up to 63 characters, and valid characters are `[a-z0-9-]`. The first character must be a letter, the last character must be a letter or number.
  "metadata": { # Optional. The metadata of the agent.
    "a_key": "A String",
  },
  "name": "A String", # Identifier. The resource name of the Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
  "object": "A String", # Output only. The object type of this resource. Always set to "agent" in this case.
  "system_instruction": "A String", # Optional. The detailed struction that the agent should follow. The instruction is passed to LLM as system instruction.
  "tools": [ # Optional. A list of tools that are available for the agent during the process of execucting the task.
    { # A tool provides a list of actions that are available for the Agent during the process of executing the task.
      "headers": { # Optional. Headers for the MCP server (e.g., authentication). Only applicable when `type` is "mcp".
        "a_key": "A String",
      },
      "name": "A String", # Optional. The name of the MCP server. Only applicable when `type` is "mcp".
      "type": "A String", # Required. Type of the tool. Supported types: - "code_execution" - "filesystem" - "google_search" - "mcp" - "url_context"
      "url": "A String", # Optional. The full URL for the MCP server endpoint. Only applicable when `type` is "mcp".
    },
  ],
  "updated": "A String", # Output only. Timestamp when the agent was last updated.
}

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

Lists Agents in a given location.

Args:
  parent: string, Required. The resource name of the location to list agents from. Format: `projects/{project}/locations/{location} (required)
  orderBy: string, Optional. A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields: * `create_time` * `update_time` Example: `create_time desc`.
  pageSize: integer, Optional. The maximum number of agents to return. The service may return fewer than this value. If unspecified, at most 100 agents will be returned.
  pageToken: string, Optional. The next_page_token value returned from a previous list AgentService.ListAgents call.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response message for AgentService.ListAgents.
  "agents": [ # A list of agents matching the request.
    { # A Vertex agent contains instructions and configurations for the LLM to execute a certain task.
      "base_agent": "A String", # Required. The base agent of the agent. Supported values: - "antigravity-preview-05-2026"
      "base_environment": "", # Optional. The environment config of the agent. Valid types are: - string value for environment_id, or 'remote' for default - struct value for EnvironmentConfig.
      "created": "A String", # Output only. Timestamp when the agent was created.
      "description": "A String", # Optional. The description of the agent.
      "id": "A String", # Immutable. The ID to use for agent, which will become the final component of the agent resource name. If not provided, Vertex AI will generate a value for this ID. This value may be up to 63 characters, and valid characters are `[a-z0-9-]`. The first character must be a letter, the last character must be a letter or number.
      "metadata": { # Optional. The metadata of the agent.
        "a_key": "A String",
      },
      "name": "A String", # Identifier. The resource name of the Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
      "object": "A String", # Output only. The object type of this resource. Always set to "agent" in this case.
      "system_instruction": "A String", # Optional. The detailed struction that the agent should follow. The instruction is passed to LLM as system instruction.
      "tools": [ # Optional. A list of tools that are available for the agent during the process of execucting the task.
        { # A tool provides a list of actions that are available for the Agent during the process of executing the task.
          "headers": { # Optional. Headers for the MCP server (e.g., authentication). Only applicable when `type` is "mcp".
            "a_key": "A String",
          },
          "name": "A String", # Optional. The name of the MCP server. Only applicable when `type` is "mcp".
          "type": "A String", # Required. Type of the tool. Supported types: - "code_execution" - "filesystem" - "google_search" - "mcp" - "url_context"
          "url": "A String", # Optional. The full URL for the MCP server endpoint. Only applicable when `type` is "mcp".
        },
      ],
      "updated": "A String", # Output only. Timestamp when the agent was last updated.
    },
  ],
  "nextPageToken": "A String", # A token, which can be sent as ListAgentsRequest.page_token to retrieve the next page. Absence of this field indicates there are no subsequent pages.
}

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)

Updates the specific Agent.

Args:
  name: string, Identifier. The resource name of the Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`. (required)
  body: object, The request body.
    The object takes the form of:

{ # A Vertex agent contains instructions and configurations for the LLM to execute a certain task.
  "base_agent": "A String", # Required. The base agent of the agent. Supported values: - "antigravity-preview-05-2026"
  "base_environment": "", # Optional. The environment config of the agent. Valid types are: - string value for environment_id, or 'remote' for default - struct value for EnvironmentConfig.
  "created": "A String", # Output only. Timestamp when the agent was created.
  "description": "A String", # Optional. The description of the agent.
  "id": "A String", # Immutable. The ID to use for agent, which will become the final component of the agent resource name. If not provided, Vertex AI will generate a value for this ID. This value may be up to 63 characters, and valid characters are `[a-z0-9-]`. The first character must be a letter, the last character must be a letter or number.
  "metadata": { # Optional. The metadata of the agent.
    "a_key": "A String",
  },
  "name": "A String", # Identifier. The resource name of the Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
  "object": "A String", # Output only. The object type of this resource. Always set to "agent" in this case.
  "system_instruction": "A String", # Optional. The detailed struction that the agent should follow. The instruction is passed to LLM as system instruction.
  "tools": [ # Optional. A list of tools that are available for the agent during the process of execucting the task.
    { # A tool provides a list of actions that are available for the Agent during the process of executing the task.
      "headers": { # Optional. Headers for the MCP server (e.g., authentication). Only applicable when `type` is "mcp".
        "a_key": "A String",
      },
      "name": "A String", # Optional. The name of the MCP server. Only applicable when `type` is "mcp".
      "type": "A String", # Required. Type of the tool. Supported types: - "code_execution" - "filesystem" - "google_search" - "mcp" - "url_context"
      "url": "A String", # Optional. The full URL for the MCP server endpoint. Only applicable when `type` is "mcp".
    },
  ],
  "updated": "A String", # Output only. Timestamp when the agent was last updated.
}

  updateMask: string, Optional. Field mask is used 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:

    { # A Vertex agent contains instructions and configurations for the LLM to execute a certain task.
  "base_agent": "A String", # Required. The base agent of the agent. Supported values: - "antigravity-preview-05-2026"
  "base_environment": "", # Optional. The environment config of the agent. Valid types are: - string value for environment_id, or 'remote' for default - struct value for EnvironmentConfig.
  "created": "A String", # Output only. Timestamp when the agent was created.
  "description": "A String", # Optional. The description of the agent.
  "id": "A String", # Immutable. The ID to use for agent, which will become the final component of the agent resource name. If not provided, Vertex AI will generate a value for this ID. This value may be up to 63 characters, and valid characters are `[a-z0-9-]`. The first character must be a letter, the last character must be a letter or number.
  "metadata": { # Optional. The metadata of the agent.
    "a_key": "A String",
  },
  "name": "A String", # Identifier. The resource name of the Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
  "object": "A String", # Output only. The object type of this resource. Always set to "agent" in this case.
  "system_instruction": "A String", # Optional. The detailed struction that the agent should follow. The instruction is passed to LLM as system instruction.
  "tools": [ # Optional. A list of tools that are available for the agent during the process of execucting the task.
    { # A tool provides a list of actions that are available for the Agent during the process of executing the task.
      "headers": { # Optional. Headers for the MCP server (e.g., authentication). Only applicable when `type` is "mcp".
        "a_key": "A String",
      },
      "name": "A String", # Optional. The name of the MCP server. Only applicable when `type` is "mcp".
      "type": "A String", # Required. Type of the tool. Supported types: - "code_execution" - "filesystem" - "google_search" - "mcp" - "url_context"
      "url": "A String", # Optional. The full URL for the MCP server endpoint. Only applicable when `type` is "mcp".
    },
  ],
  "updated": "A String", # Output only. Timestamp when the agent was last updated.
}

Agent Platform API . projects . locations . agents

Instance Methods

Method Details