Agent Observability 데이터 세트 업데이트
https://api.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}https://api.us3.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}https://api.us5.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}https://api.datadoghq.eu/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}https://api.ap1.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}https://api.ap2.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}https://api.uk1.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}https://api.ddog-gov.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}https://api.us2.ddog-gov.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}개요
지정된 프로젝트 내의 기존 Agent Observability 데이터 세트를 부분적으로 업데이트합니다.
인수
경로 파라미터
project_id [required]The ID of the Agent Observability project.
dataset_id [required]The ID of the Agent Observability dataset.
요청
Body Data (required)
데이터 세트 업데이트 페이로드입니다.
data [required]Agent Observability 데이터 세트를 부분적으로 업데이트하도록 요청합니다.
attributes [required]Attributes for updating an Agent Observability dataset.
descriptionUpdated description of the dataset.
metadataUpdated metadata associated with the dataset.
nameUpdated name of the dataset.
type [required]Resource type of an Agent Observability dataset.
datasets{
"data": {
"attributes": {
"description": "string",
"metadata": {},
"name": "string"
},
"type": "datasets"
}
}응답
OK
Response containing a single Agent Observability dataset.
data [required]Data object for an Agent Observability dataset.
attributes [required]Attributes of an Agent Observability dataset.
created_at [required]Timestamp when the dataset was created.
current_version [required]Current version number of the dataset.
description [required]Description of the dataset.
metadata [required]Arbitrary metadata associated with the dataset.
name [required]Name of the dataset.
updated_at [required]Timestamp when the dataset was last updated.
id [required]Unique identifier of the dataset.
type [required]Resource type of an Agent Observability dataset.
datasets{
"data": {
"attributes": {
"created_at": "2024-01-15T10:30:00Z",
"current_version": 1,
"description": "",
"metadata": {},
"name": "My LLM Dataset",
"updated_at": "2024-01-15T10:30:00Z"
},
"id": "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
"type": "datasets"
}
}Bad Request
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Unauthorized
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Forbidden
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Not Found
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Too many requests
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}코드 예시
# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF// Update an Agent Observability dataset returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
body := datadogV2.LLMObsDatasetUpdateRequest{
Data: datadogV2.LLMObsDatasetUpdateDataRequest{
Attributes: datadogV2.LLMObsDatasetUpdateDataAttributesRequest{},
Type: datadogV2.LLMOBSDATASETTYPE_DATASETS,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.UpdateLLMObsDataset", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewAgentObservabilityApi(apiClient)
resp, r, err := api.UpdateLLMObsDataset(ctx, "project_id", "dataset_id", body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `AgentObservabilityApi.UpdateLLMObsDataset`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `AgentObservabilityApi.UpdateLLMObsDataset`:\n%s\n", responseContent)
}
Instructions
First install the library and its dependencies and then save the example to main.go and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"// Update an Agent Observability dataset returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.AgentObservabilityApi;
import com.datadog.api.client.v2.model.LLMObsDatasetResponse;
import com.datadog.api.client.v2.model.LLMObsDatasetType;
import com.datadog.api.client.v2.model.LLMObsDatasetUpdateDataAttributesRequest;
import com.datadog.api.client.v2.model.LLMObsDatasetUpdateDataRequest;
import com.datadog.api.client.v2.model.LLMObsDatasetUpdateRequest;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.updateLLMObsDataset", true);
AgentObservabilityApi apiInstance = new AgentObservabilityApi(defaultClient);
LLMObsDatasetUpdateRequest body =
new LLMObsDatasetUpdateRequest()
.data(
new LLMObsDatasetUpdateDataRequest()
.attributes(new LLMObsDatasetUpdateDataAttributesRequest())
.type(LLMObsDatasetType.DATASETS));
try {
LLMObsDatasetResponse result =
apiInstance.updateLLMObsDataset(
"a33671aa-24fd-4dcd-9b33-a8ec7dde7751", "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d", body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling AgentObservabilityApi#updateLLMObsDataset");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
Instructions
First install the library and its dependencies and then save the example to Example.java and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java""""
Update an Agent Observability dataset returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.agent_observability_api import AgentObservabilityApi
from datadog_api_client.v2.model.llm_obs_dataset_type import LLMObsDatasetType
from datadog_api_client.v2.model.llm_obs_dataset_update_data_attributes_request import (
LLMObsDatasetUpdateDataAttributesRequest,
)
from datadog_api_client.v2.model.llm_obs_dataset_update_data_request import LLMObsDatasetUpdateDataRequest
from datadog_api_client.v2.model.llm_obs_dataset_update_request import LLMObsDatasetUpdateRequest
body = LLMObsDatasetUpdateRequest(
data=LLMObsDatasetUpdateDataRequest(
attributes=LLMObsDatasetUpdateDataAttributesRequest(),
type=LLMObsDatasetType.DATASETS,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["update_llm_obs_dataset"] = True
with ApiClient(configuration) as api_client:
api_instance = AgentObservabilityApi(api_client)
response = api_instance.update_llm_obs_dataset(project_id="project_id", dataset_id="dataset_id", body=body)
print(response)
Instructions
First install the library and its dependencies and then save the example to example.py and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"# Update an Agent Observability dataset returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.update_llm_obs_dataset".to_sym] = true
end
api_instance = DatadogAPIClient::V2::AgentObservabilityAPI.new
body = DatadogAPIClient::V2::LLMObsDatasetUpdateRequest.new({
data: DatadogAPIClient::V2::LLMObsDatasetUpdateDataRequest.new({
attributes: DatadogAPIClient::V2::LLMObsDatasetUpdateDataAttributesRequest.new({}),
type: DatadogAPIClient::V2::LLMObsDatasetType::DATASETS,
}),
})
p api_instance.update_llm_obs_dataset("project_id", "dataset_id", body)
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"// Update an Agent Observability dataset returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsDatasetType;
use datadog_api_client::datadogV2::model::LLMObsDatasetUpdateDataAttributesRequest;
use datadog_api_client::datadogV2::model::LLMObsDatasetUpdateDataRequest;
use datadog_api_client::datadogV2::model::LLMObsDatasetUpdateRequest;
#[tokio::main]
async fn main() {
let body = LLMObsDatasetUpdateRequest::new(LLMObsDatasetUpdateDataRequest::new(
LLMObsDatasetUpdateDataAttributesRequest::new(),
LLMObsDatasetType::DATASETS,
));
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.update_llm_obs_dataset", true);
let api = AgentObservabilityAPI::with_config(configuration);
let resp = api
.update_llm_obs_dataset("project_id".to_string(), "dataset_id".to_string(), body)
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run/**
* Update an Agent Observability dataset returns "OK" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
configuration.unstableOperations["v2.updateLLMObsDataset"] = true;
const apiInstance = new v2.AgentObservabilityApi(configuration);
const params: v2.AgentObservabilityApiUpdateLLMObsDatasetRequest = {
body: {
data: {
attributes: {},
type: "datasets",
},
},
projectId: "project_id",
datasetId: "dataset_id",
};
apiInstance
.updateLLMObsDataset(params)
.then((data: v2.LLMObsDatasetResponse) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Instructions
First install the library and its dependencies and then save the example to example.ts and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"