Returns a paginated list of threat model summaries for the specified agent space.
Parameters:
-
max_results
(Optional[MaxResults], default:
None
)
–
The maximum number of results to return in a single call.
-
next_token
(Optional[NextToken], default:
None
)
–
A token to use for paginating results that are returned in the response.
-
agent_space_id
(str)
–
The unique identifier of the agent space to list threat models for.
Raises:
Source code in docs_src/capo_securityagent/_services/security_agent.py
| def list_threat_models(
self,
agent_space_id: str,
*,
config_overrides: Optional[SecurityAgentClientConfig] = None,
max_results: Optional["capo_securityagent.types.max_results.MaxResults"] = None,
next_token: Optional["capo_securityagent.types.next_token.NextToken"] = None,
) -> "capo_securityagent.types.list_threat_models_output.ListThreatModelsOutput":
"""<p>Returns a paginated list of threat model summaries for the specified agent space.</p>
Args:
max_results: <p>The maximum number of results to return in a single call.</p>
next_token: <p>A token to use for paginating results that are returned in the response.</p>
agent_space_id: <p>The unique identifier of the agent space to list threat models for.</p>
Raises:
capo_securityagent.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_securityagent.types.list_threat_models_input.ListThreatModelsInput]",
) -> OperationResponse[
"capo_securityagent.types.list_threat_models_output.ListThreatModelsOutput"
]:
import capo_securityagent._operations.security_agent.list_threat_models
output, http_response = (
capo_securityagent._operations.security_agent.list_threat_models.list_threat_models(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListThreatModels")
)
input_: capo_securityagent.types.list_threat_models_input.ListThreatModelsInput = {
"agent_space_id": agent_space_id
}
if max_results is not None:
input_["max_results"] = max_results
if next_token is not None:
input_["next_token"] = next_token
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|