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/experiments https://api.ap2.datadoghq.com/api/v2/llm-obs/v1/experiments https://api.datadoghq.eu/api/v2/llm-obs/v1/experiments https://api.ddog-gov.com/api/v2/llm-obs/v1/experiments https://api.us2.ddog-gov.com/api/v2/llm-obs/v1/experiments https://api.datadoghq.com/api/v2/llm-obs/v1/experiments https://api.us3.datadoghq.com/api/v2/llm-obs/v1/experiments https://api.us5.datadoghq.com/api/v2/llm-obs/v1/experiments
Overview List all LLM Observability experiments sorted by creation date, newest first.
Arguments Query Strings Filter experiments by project ID. Required if filter[dataset_id] is not provided.
Filter experiments by dataset ID.
Filter experiments by experiment ID. Can be specified multiple times.
Filter experiments by their exact run name.
Filter by logical experiment name. This is the name field set when creating an experiment through POST /experiments. Returns all experiment runs that share the same name, enabling cross-commit and cross-branch comparisons.
Filter by JSONB metadata containment. Provide a JSON object string where
experiments whose metadata contains all specified key-value pairs are returned.
For example: {"commit":"abc123","branch":"main"}.
filter[parent_experiment_id]
Filter experiments by the ID of their parent (baseline) experiment. Returns all experiments that were run against the given baseline. Can be specified multiple times.
When true, return only soft-deleted experiments. Defaults to false.
When true, enrich each experiment with its author’s user data in the author field.
When true, enrich each experiment with its dataset name in the dataset_name field.
Use the pagination cursor returned in meta.after to retrieve the next page of results.
Maximum number of results to return per page. Values above 5000 are clamped
to 5000. Defaults to 5000.
Response OK
Response containing a list of LLM Observability experiments.
Expand All
Attributes of an LLM Observability experiment.
Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.
User data for the author of an experiment. Only present when include[user_data] is true.
Email address of the user.
Username or handle associated with the user's Datadog account.
Unique identifier of the user.
Display name of the user.
Configuration parameters for the experiment.
Timestamp when the experiment was created.
Identifier of the dataset used in this experiment.
Name of the dataset used in this experiment.
Only present when include[dataset_names] is true.
Version of the dataset used in this experiment.
Timestamp when the experiment was soft-deleted, if applicable.
Description of the experiment.
Error message describing why the experiment failed, if applicable.
Logical name of the experiment, shared across all runs of the same pipeline.
Arbitrary metadata associated with the experiment.
Identifier of the parent (baseline) experiment this experiment was run against, if any.
Identifier of the project this experiment belongs to.
Expected number of runs for this experiment.
Execution status of an LLM Observability experiment.
Allowed enum values: running,completed,failed,interrupted
Timestamp when the experiment was last updated.
Unique identifier of the experiment.
Resource type of an LLM Observability experiment.
Allowed enum values: experiments
Pagination cursor metadata.
Cursor for the next page of results.
{
"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"
}
],
"meta" : {
"after" : "string"
}
} 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"
]
} Code Example Copy
# 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.datadoghq.com "https://api.us3.datadoghq.com "https://api.us5.datadoghq.com /api/v2/llm-obs/v1/experiments " \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY} " \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY} "
"""
List LLM Observability experiments returns "OK" response
"""
from datadog_api_client import ApiClient , Configuration
from datadog_api_client.v2.api.llm_observability_api import LLMObservabilityApi
configuration = Configuration ()
configuration . unstable_operations [ "list_llm_obs_experiments" ] = True
with ApiClient ( configuration ) as api_client :
api_instance = LLMObservabilityApi ( api_client )
response = api_instance . list_llm_obs_experiments ()
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 ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" python3 "example.py"
# List LLM Observability experiments returns "OK" response
require "datadog_api_client"
DatadogAPIClient . configure do | config |
config . unstable_operations [ "v2.list_llm_obs_experiments" . to_sym ] = true
end
api_instance = DatadogAPIClient :: V2 :: LLMObservabilityAPI . new
p api_instance . list_llm_obs_experiments ()
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 ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" rb "example.rb"
// List LLM Observability experiments 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.ListLLMObsExperiments" , true )
apiClient := datadog . NewAPIClient ( configuration )
api := datadogV2 . NewLLMObservabilityApi ( apiClient )
resp , r , err := api . ListLLMObsExperiments ( ctx , * datadogV2 . NewListLLMObsExperimentsOptionalParameters ())
if err != nil {
fmt . Fprintf ( os . Stderr , "Error when calling `LLMObservabilityApi.ListLLMObsExperiments`: %v\n" , err )
fmt . Fprintf ( os . Stderr , "Full HTTP response: %v\n" , r )
}
responseContent , _ := json . MarshalIndent ( resp , "" , " " )
fmt . Fprintf ( os . Stdout , "Response from `LLMObservabilityApi.ListLLMObsExperiments`:\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 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 Observability experiments 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.LLMObsExperimentsResponse ;
public class Example {
public static void main ( String [] args ) {
ApiClient defaultClient = ApiClient . getDefaultApiClient ();
defaultClient . setUnstableOperationEnabled ( "v2.listLLMObsExperiments" , true );
LlmObservabilityApi apiInstance = new LlmObservabilityApi ( defaultClient );
try {
LLMObsExperimentsResponse result = apiInstance . listLLMObsExperiments ();
System . out . println ( result );
} catch ( ApiException e ) {
System . err . println ( "Exception when calling LlmObservabilityApi#listLLMObsExperiments" );
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 ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" java "Example.java"
// List LLM Observability experiments returns "OK" response
use datadog_api_client ::datadog ;
use datadog_api_client ::datadogV2 ::api_llm_observability ::LLMObservabilityAPI ;
use datadog_api_client ::datadogV2 ::api_llm_observability ::ListLLMObsExperimentsOptionalParams ;
#[tokio::main]
async fn main () {
let mut configuration = datadog ::Configuration ::new ();
configuration . set_unstable_operation_enabled ( "v2.ListLLMObsExperiments" , true );
let api = LLMObservabilityAPI ::with_config ( configuration );
let resp = api
. list_llm_obs_experiments ( ListLLMObsExperimentsOptionalParams ::default ())
. 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 ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" cargo run
/**
* List LLM Observability experiments returns "OK" response
*/
import { client , v2 } from "@datadog/datadog-api-client" ;
const configuration = client . createConfiguration ();
configuration . unstableOperations [ "v2.listLLMObsExperiments" ] = true ;
const apiInstance = new v2 . LLMObservabilityApi ( configuration );
apiInstance
. listLLMObsExperiments ()
. then (( data : v2.LLMObsExperimentsResponse ) => {
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 ddog-gov.com us2.ddog-gov.com " DD_API_KEY = "<DD_API_KEY>" DD_APP_KEY = "<DD_APP_KEY>" tsc "example.ts"