Update an Agent Observability experiment
https://api.datadoghq.com/api/v2/llm-obs/v1/experiments/{experiment_id}https://api.us3.datadoghq.com/api/v2/llm-obs/v1/experiments/{experiment_id}https://api.us5.datadoghq.com/api/v2/llm-obs/v1/experiments/{experiment_id}https://api.datadoghq.eu/api/v2/llm-obs/v1/experiments/{experiment_id}https://api.ap1.datadoghq.com/api/v2/llm-obs/v1/experiments/{experiment_id}https://api.ap2.datadoghq.com/api/v2/llm-obs/v1/experiments/{experiment_id}https://api.uk1.datadoghq.com/api/v2/llm-obs/v1/experiments/{experiment_id}https://api.ddog-gov.com/api/v2/llm-obs/v1/experiments/{experiment_id}https://api.us2.ddog-gov.com/api/v2/llm-obs/v1/experiments/{experiment_id}Overview
Partially update an existing Agent Observability experiment.
Arguments
Path Parameters
experiment_id [required]The ID of the Agent Observability experiment.
Request
Body Data (required)
Update experiment payload.
data [required]Data object for updating an Agent Observability experiment.
attributes [required]Attributes for updating an Agent Observability experiment.
dataset_idUpdated identifier of the dataset used in this experiment.
descriptionUpdated description of the experiment.
errorError message describing why the experiment failed, if applicable.
metadataUpdated arbitrary metadata associated with the experiment.
nameUpdated name of the experiment.
statusExecution status of an Agent Observability experiment.
running, completed, failed, interruptedtype [required]Resource type of an Agent Observability experiment.
experiments{
"data": {
"type": "experiments"
}
}Response
OK
Response containing a single Agent Observability experiment.
data [required]Data object for an Agent Observability experiment.
attributes [required]Attributes of an Agent Observability experiment.
aggregate_dataPre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.
authorUser data for the author of an experiment. Only present when include[user_data] is true.
emailEmail address of the user.
handleUsername or handle associated with the user's Datadog account.
iconURL of the user's icon.
idUnique identifier of the user.
nameDisplay name of the user.
config [required]Configuration parameters for the experiment.
created_at [required]Timestamp when the experiment was created.
dataset_id [required]Identifier of the dataset used in this experiment.
dataset_nameName of the dataset used in this experiment.
Only present when include[dataset_names] is true.
dataset_versionVersion of the dataset used in this experiment.
deleted_atTimestamp when the experiment was soft-deleted, if applicable.
description [required]Description of the experiment.
errorError message describing why the experiment failed, if applicable.
experimentLogical name of the experiment, shared across all runs of the same pipeline.
metadata [required]Arbitrary metadata associated with the experiment.
name [required]Name of the experiment.
parent_experiment_idIdentifier of the parent (baseline) experiment this experiment was run against, if any.
project_id [required]Identifier of the project this experiment belongs to.
run_countExpected number of runs for this experiment.
statusExecution status of an Agent Observability experiment.
running, completed, failed, interruptedupdated_at [required]Timestamp when the experiment was last updated.
id [required]Unique identifier of the experiment.
type [required]Resource type of an Agent Observability experiment.
experiments{
"data": {
"attributes": {
"aggregate_data": {},
"author": {
"email": "jane.doe@example.com",
"handle": "jane.doe@example.com",
"icon": "https://example.com/icon.png",
"id": "00000000-0000-0000-0000-000000000010",
"name": "Jane Doe"
},
"config": {},
"created_at": "2024-01-15T10:30:00Z",
"dataset_id": "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
"dataset_name": "string",
"dataset_version": "integer",
"deleted_at": "2019-09-19T10:00:00.000Z",
"description": "",
"error": "string",
"experiment": "my-pipeline",
"metadata": {},
"name": "My Experiment v1",
"parent_experiment_id": "3fd6b5e0-8910-4b1c-a7d0-5b84de329012",
"project_id": "a33671aa-24fd-4dcd-9b33-a8ec7dde7751",
"run_count": "integer",
"status": "completed",
"updated_at": "2024-01-15T10:30:00Z"
},
"id": "3fd6b5e0-8910-4b1c-a7d0-5b84de329012",
"type": "experiments"
}
}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"
]
}Code Example
# Path parameters
export experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012"
# 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.${DD_SITE}/api/v2/llm-obs/v1/experiments/${experiment_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "experiments"
}
}
EOF# Path parameters
export experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/experiments/${experiment_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "experiments"
}
}
EOF# Path parameters
export experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/experiments/${experiment_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "experiments"
}
}
EOF# Path parameters
export experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/experiments/${experiment_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "experiments"
}
}
EOF# Path parameters
export experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/experiments/${experiment_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "experiments"
}
}
EOF# Path parameters
export experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/experiments/${experiment_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "experiments"
}
}
EOF# Path parameters
export experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/experiments/${experiment_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "experiments"
}
}
EOF# Path parameters
export experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/experiments/${experiment_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "experiments"
}
}
EOF# Path parameters
export experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/llm-obs/v1/experiments/${experiment_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "experiments"
}
}
EOF// Update an Agent Observability experiment 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.LLMObsExperimentUpdateRequest{
Data: datadogV2.LLMObsExperimentUpdateDataRequest{
Attributes: datadogV2.LLMObsExperimentUpdateDataAttributesRequest{
DatasetId: datadog.PtrString("9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"),
Status: datadogV2.LLMOBSEXPERIMENTSTATUS_COMPLETED.Ptr(),
},
Type: datadogV2.LLMOBSEXPERIMENTTYPE_EXPERIMENTS,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.UpdateLLMObsExperiment", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewAgentObservabilityApi(apiClient)
resp, r, err := api.UpdateLLMObsExperiment(ctx, "experiment_id", body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `AgentObservabilityApi.UpdateLLMObsExperiment`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `AgentObservabilityApi.UpdateLLMObsExperiment`:\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 experiment 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.LLMObsExperimentResponse;
import com.datadog.api.client.v2.model.LLMObsExperimentStatus;
import com.datadog.api.client.v2.model.LLMObsExperimentType;
import com.datadog.api.client.v2.model.LLMObsExperimentUpdateDataAttributesRequest;
import com.datadog.api.client.v2.model.LLMObsExperimentUpdateDataRequest;
import com.datadog.api.client.v2.model.LLMObsExperimentUpdateRequest;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.updateLLMObsExperiment", true);
AgentObservabilityApi apiInstance = new AgentObservabilityApi(defaultClient);
LLMObsExperimentUpdateRequest body =
new LLMObsExperimentUpdateRequest()
.data(
new LLMObsExperimentUpdateDataRequest()
.attributes(
new LLMObsExperimentUpdateDataAttributesRequest()
.datasetId("9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d")
.status(LLMObsExperimentStatus.COMPLETED))
.type(LLMObsExperimentType.EXPERIMENTS));
try {
LLMObsExperimentResponse result =
apiInstance.updateLLMObsExperiment("3fd6b5e0-8910-4b1c-a7d0-5b84de329012", body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling AgentObservabilityApi#updateLLMObsExperiment");
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 experiment 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_experiment_status import LLMObsExperimentStatus
from datadog_api_client.v2.model.llm_obs_experiment_type import LLMObsExperimentType
from datadog_api_client.v2.model.llm_obs_experiment_update_data_attributes_request import (
LLMObsExperimentUpdateDataAttributesRequest,
)
from datadog_api_client.v2.model.llm_obs_experiment_update_data_request import LLMObsExperimentUpdateDataRequest
from datadog_api_client.v2.model.llm_obs_experiment_update_request import LLMObsExperimentUpdateRequest
body = LLMObsExperimentUpdateRequest(
data=LLMObsExperimentUpdateDataRequest(
attributes=LLMObsExperimentUpdateDataAttributesRequest(
dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
status=LLMObsExperimentStatus.COMPLETED,
),
type=LLMObsExperimentType.EXPERIMENTS,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["update_llm_obs_experiment"] = True
with ApiClient(configuration) as api_client:
api_instance = AgentObservabilityApi(api_client)
response = api_instance.update_llm_obs_experiment(experiment_id="experiment_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 experiment 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_experiment".to_sym] = true
end
api_instance = DatadogAPIClient::V2::AgentObservabilityAPI.new
body = DatadogAPIClient::V2::LLMObsExperimentUpdateRequest.new({
data: DatadogAPIClient::V2::LLMObsExperimentUpdateDataRequest.new({
attributes: DatadogAPIClient::V2::LLMObsExperimentUpdateDataAttributesRequest.new({
dataset_id: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
status: DatadogAPIClient::V2::LLMObsExperimentStatus::COMPLETED,
}),
type: DatadogAPIClient::V2::LLMObsExperimentType::EXPERIMENTS,
}),
})
p api_instance.update_llm_obs_experiment("experiment_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 experiment returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsExperimentStatus;
use datadog_api_client::datadogV2::model::LLMObsExperimentType;
use datadog_api_client::datadogV2::model::LLMObsExperimentUpdateDataAttributesRequest;
use datadog_api_client::datadogV2::model::LLMObsExperimentUpdateDataRequest;
use datadog_api_client::datadogV2::model::LLMObsExperimentUpdateRequest;
#[tokio::main]
async fn main() {
let body = LLMObsExperimentUpdateRequest::new(LLMObsExperimentUpdateDataRequest::new(
LLMObsExperimentUpdateDataAttributesRequest::new()
.dataset_id("9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d".to_string())
.status(LLMObsExperimentStatus::COMPLETED),
LLMObsExperimentType::EXPERIMENTS,
));
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.update_llm_obs_experiment", true);
let api = AgentObservabilityAPI::with_config(configuration);
let resp = api
.update_llm_obs_experiment("experiment_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 experiment 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.updateLLMObsExperiment"] = true;
const apiInstance = new v2.AgentObservabilityApi(configuration);
const params: v2.AgentObservabilityApiUpdateLLMObsExperimentRequest = {
body: {
data: {
attributes: {
datasetId: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
status: "completed",
},
type: "experiments",
},
},
experimentId: "experiment_id",
};
apiInstance
.updateLLMObsExperiment(params)
.then((data: v2.LLMObsExperimentResponse) => {
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"