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get_agent_collaborator async

get_agent_collaborator(
    agent_id: Id,
    agent_version: Version,
    collaborator_id: Id,
    *,
    config_overrides: Optional[AsyncBedrockAgentClientConfig] = None,
) -> GetAgentCollaboratorResponse

Retrieves information about an agent's collaborator.

Parameters:

  • agent_id (Id) –

    The agent's ID.

  • agent_version (Version) –

    The agent's version.

  • collaborator_id (Id) –

    The collaborator's ID.

Raises:

Source code in docs_src/capo_bedrock_agent/_services/async_bedrock_agent.py
async def get_agent_collaborator(
    self,
    agent_id: "capo_bedrock_agent.types.id.Id",
    agent_version: "capo_bedrock_agent.types.version.Version",
    collaborator_id: "capo_bedrock_agent.types.id.Id",
    *,
    config_overrides: Optional[AsyncBedrockAgentClientConfig] = None,
) -> "capo_bedrock_agent.types.get_agent_collaborator_response.GetAgentCollaboratorResponse":
    """<p>Retrieves information about an agent's collaborator.</p>

    Args:
        agent_id: <p>The agent's ID.</p>
        agent_version: <p>The agent's version.</p>
        collaborator_id: <p>The collaborator's ID.</p>

    Raises:
        capo_bedrock_agent.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock_agent.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock_agent.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
        capo_bedrock_agent.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock_agent.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock_agent.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock_agent.types.get_agent_collaborator_request.GetAgentCollaboratorRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock_agent.types.get_agent_collaborator_response.GetAgentCollaboratorResponse"
    ]:
        import capo_bedrock_agent._operations.amazon_bedrock_agent_build_time_lambda.get_agent_collaborator

        (
            output,
            http_response,
        ) = await capo_bedrock_agent._operations.amazon_bedrock_agent_build_time_lambda.get_agent_collaborator.async_get_agent_collaborator(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_bedrock_agent.types.get_agent_collaborator_response.GetAgentCollaboratorResponse",
    ) -> dict[str, Any]:
        import capo_bedrock_agent.types.get_agent_collaborator_response

        return capo_bedrock_agent.types.get_agent_collaborator_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("GetAgentCollaborator", redact_output=_redact_output),
    )
    input_: capo_bedrock_agent.types.get_agent_collaborator_request.GetAgentCollaboratorRequest = {
        "agent_id": agent_id,
        "agent_version": agent_version,
        "collaborator_id": collaborator_id,
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output