Note : This endpoint is in Preview and is subject to change.
If you have any feedback, contact Datadog support .
GET https://api.ap1.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accounts https://api.ap2.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accounts https://api.datadoghq.eu/api/v2/llm-obs/v1/integrations/{integration}/accounts https://api.ddog-gov.com/api/v2/llm-obs/v1/integrations/{integration}/accounts https://api.us2.ddog-gov.com/api/v2/llm-obs/v1/integrations/{integration}/accounts https://api.uk1.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accounts https://api.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accounts https://api.us3.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accounts https://api.us5.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accounts
Información general Retrieve the list of configured accounts for the specified LLM provider integration.
Argumentos Parámetros de ruta The name of the LLM integration.
Respuesta OK
Expand All
Provider-specific account identifier.
Human-readable name for the integration account.
Provider region associated with the account, if applicable.
Azure OpenAI-specific metadata for an integration account or inference request.
The Azure OpenAI deployment ID.
The model version deployed in Azure.
The Azure OpenAI resource name.
Unique identifier for the integration account.
The name of the LLM provider integration.
Vertex AI-specific metadata for an integration account or inference request.
The Google Cloud project ID.
List of Google Cloud project IDs available to the service account.
{
"account_id" : "org-XYZ123" ,
"account_name" : "Production OpenAI" ,
"account_region" : "us-east-1" ,
"azure_openai_metadata" : {
"deployment_id" : "my-gpt4-deployment" ,
"model_version" : "0613" ,
"resource_name" : "my-azure-resource"
},
"id" : "account-abc123" ,
"integration" : "openai" ,
"vertex_ai_metadata" : {
"location" : "us-central1" ,
"project" : "my-gcp-project" ,
"project_ids" : [
"my-gcp-project"
]
}
} Bad Request
API error response.
Expand All
A human-readable explanation specific to this occurrence of the error.
Non-standard meta-information about the error
References to the source of the error.
A string indicating the name of a single request header which caused the error.
A string indicating which URI query parameter caused the error.
A JSON pointer to the value in the request document that caused the error.
Status code of the response.
Short 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.
Expand All
A human-readable explanation specific to this occurrence of the error.
Non-standard meta-information about the error
References to the source of the error.
A string indicating the name of a single request header which caused the error.
A string indicating which URI query parameter caused the error.
A JSON pointer to the value in the request document that caused the error.
Status code of the response.
Short 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.
Expand All
A human-readable explanation specific to this occurrence of the error.
Non-standard meta-information about the error
References to the source of the error.
A string indicating the name of a single request header which caused the error.
A string indicating which URI query parameter caused the error.
A JSON pointer to the value in the request document that caused the error.
Status code of the response.
Short 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
{
"errors" : [
"Bad Request"
]
} Ejemplo de código Copia
# Path parameters export integration = "openai" # Curl command curl -X GET "https://api.ap1.datadoghq.com "https://api.ap2.datadoghq.com "https://api.datadoghq.eu "https://api.ddog-gov.com "https://api.us2.ddog-gov.com "https://api.uk1.datadoghq.com "https://api.datadoghq.com "https://api.us3.datadoghq.com "https://api.us5.datadoghq.com /api/v2/llm-obs/v1/integrations/${integration}/accounts " \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY} " \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY} "
"""
List LLM integration accounts returns "OK" response
"""
from datadog_api_client import ApiClient , Configuration
from datadog_api_client.v2.api.llm_observability_api import LLMObservabilityApi
from datadog_api_client.v2.model.llm_obs_integration_name import LLMObsIntegrationName
configuration = Configuration ()
configuration . unstable_operations [ "list_llm_obs_integration_accounts" ] = True
with ApiClient ( configuration ) as api_client :
api_instance = LLMObservabilityApi ( api_client )
response = api_instance . list_llm_obs_integration_accounts (
integration = LLMObsIntegrationName . OPENAI ,
)
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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com uk1.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" python3 "example.py"
# List LLM integration accounts returns "OK" response
require "datadog_api_client"
DatadogAPIClient . configure do | config |
config . unstable_operations [ "v2.list_llm_obs_integration_accounts" . to_sym ] = true
end
api_instance = DatadogAPIClient :: V2 :: LLMObservabilityAPI . new
p api_instance . list_llm_obs_integration_accounts ( LLMObsIntegrationName :: OPENAI )
Instructions First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE = "datadoghq.com us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com uk1.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" rb "example.rb"
// List LLM integration accounts 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 () {
ctx := datadog . NewDefaultContext ( context . Background ())
configuration := datadog . NewConfiguration ()
configuration . SetUnstableOperationEnabled ( "v2.ListLLMObsIntegrationAccounts" , true )
apiClient := datadog . NewAPIClient ( configuration )
api := datadogV2 . NewLLMObservabilityApi ( apiClient )
resp , r , err := api . ListLLMObsIntegrationAccounts ( ctx , datadogV2 . LLMOBSINTEGRATIONNAME_OPENAI )
if err != nil {
fmt . Fprintf ( os . Stderr , "Error when calling `LLMObservabilityApi.ListLLMObsIntegrationAccounts`: %v\n" , err )
fmt . Fprintf ( os . Stderr , "Full HTTP response: %v\n" , r )
}
responseContent , _ := json . MarshalIndent ( resp , "" , " " )
fmt . Fprintf ( os . Stdout , "Response from `LLMObservabilityApi.ListLLMObsIntegrationAccounts`:\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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com uk1.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" go run "main.go"
// List LLM integration accounts returns "OK" response
import com.datadog.api.client.ApiClient ;
import com.datadog.api.client.ApiException ;
import com.datadog.api.client.v2.api.LlmObservabilityApi ;
import com.datadog.api.client.v2.model.LLMObsIntegrationAccount ;
import com.datadog.api.client.v2.model.LLMObsIntegrationName ;
import java.util.List ;
public class Example {
public static void main ( String [] args ) {
ApiClient defaultClient = ApiClient . getDefaultApiClient ();
defaultClient . setUnstableOperationEnabled ( "v2.listLLMObsIntegrationAccounts" , true );
LlmObservabilityApi apiInstance = new LlmObservabilityApi ( defaultClient );
try {
List < LLMObsIntegrationAccount > result =
apiInstance . listLLMObsIntegrationAccounts ( LLMObsIntegrationName . OPENAI );
System . out . println ( result );
} catch ( ApiException e ) {
System . err . println (
"Exception when calling LlmObservabilityApi#listLLMObsIntegrationAccounts" );
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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com uk1.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" java "Example.java"
// List LLM integration accounts returns "OK" response
use datadog_api_client ::datadog ;
use datadog_api_client ::datadogV2 ::api_llm_observability ::LLMObservabilityAPI ;
use datadog_api_client ::datadogV2 ::model ::LLMObsIntegrationName ;
#[tokio::main]
async fn main () {
let mut configuration = datadog ::Configuration ::new ();
configuration . set_unstable_operation_enabled ( "v2.ListLLMObsIntegrationAccounts" , true );
let api = LLMObservabilityAPI ::with_config ( configuration );
let resp = api
. list_llm_obs_integration_accounts ( LLMObsIntegrationName ::OPENAI )
. 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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com uk1.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" cargo run
/**
* List LLM integration accounts returns "OK" response
*/
import { client , v2 } from "@datadog/datadog-api-client" ;
const configuration = client . createConfiguration ();
configuration . unstableOperations [ "v2.listLLMObsIntegrationAccounts" ] = true ;
const apiInstance = new v2 . LLMObservabilityApi ( configuration );
const params : v2.LLMObservabilityApiListLLMObsIntegrationAccountsRequest = {
integration : "openai" ,
};
apiInstance
. listLLMObsIntegrationAccounts ( params )
. then (( data : v2.LLMObsIntegrationAccount []) => {
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 us3.datadoghq.com us5.datadoghq.com datadoghq.eu ap1.datadoghq.com ap2.datadoghq.com uk1.datadoghq.com ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" tsc "example.ts"