use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_llm_observability::LLMObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsAnnotationQueueType;
use datadog_api_client::datadogV2::model::LLMObsAnnotationQueueUpdateDataAttributesRequest;
use datadog_api_client::datadogV2::model::LLMObsAnnotationQueueUpdateDataRequest;
use datadog_api_client::datadogV2::model::LLMObsAnnotationQueueUpdateRequest;
use datadog_api_client::datadogV2::model::LLMObsAnnotationSchema;
use datadog_api_client::datadogV2::model::LLMObsLabelSchema;
use datadog_api_client::datadogV2::model::LLMObsLabelSchemaType;
#[tokio::main]
async fn main() {
let body =
LLMObsAnnotationQueueUpdateRequest::new(LLMObsAnnotationQueueUpdateDataRequest::new(
LLMObsAnnotationQueueUpdateDataAttributesRequest::new()
.annotation_schema(LLMObsAnnotationSchema::new(vec![LLMObsLabelSchema::new(
"quality".to_string(),
LLMObsLabelSchemaType::SCORE,
)
.description("Rating of the response quality.".to_string())
.has_assessment(false)
.has_reasoning(false)
.id("abc-123".to_string())
.is_assessment(false)
.is_integer(false)
.is_required(true)
.max(5.0 as f64)
.min(0.0 as f64)
.values(vec![
"good".to_string(),
"bad".to_string(),
"neutral".to_string(),
])]))
.description("Updated description".to_string())
.name("Updated queue name".to_string()),
LLMObsAnnotationQueueType::QUEUES,
));
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.UpdateLLMObsAnnotationQueue", true);
let api = LLMObservabilityAPI::with_config(configuration);
let resp = api
.update_llm_obs_annotation_queue("queue_id".to_string(), body)
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}