Skip to main content
POST
/
v2
/
scorers
/
llm
/
validate
/
dataset
Validate Llm Scorer Dataset
curl --request POST \
  --url https://api.galileo.ai/v2/scorers/llm/validate/dataset \
  --header 'Content-Type: application/json' \
  --header 'Splunk-AO-API-Key: <api-key>' \
  --data '
{
  "query": "<string>",
  "response": "<string>",
  "chain_poll_template": {
    "template": "<string>",
    "metric_system_prompt": "<string>",
    "metric_description": "<string>",
    "value_field_name": "rating",
    "explanation_field_name": "explanation",
    "metric_few_shot_examples": [
      {
        "generation_prompt_and_response": "<string>",
        "evaluating_response": "<string>"
      }
    ],
    "response_schema": {}
  },
  "scorer_configuration": {
    "model_alias": "gpt-4.1-mini",
    "num_judges": 3,
    "output_type": "boolean",
    "scoreable_node_types": [
      "<string>"
    ],
    "cot_enabled": false,
    "ground_truth": false,
    "multimodal_capabilities": []
  },
  "user_prompt": "<string>",
  "dataset_id": "<string>",
  "normalized_input": [
    {
      "text": "<string>",
      "type": "text"
    }
  ],
  "dataset_version_index": 123,
  "limit": 100,
  "starting_token": 123,
  "sort": {}
}
'
import requests

url = "https://api.galileo.ai/v2/scorers/llm/validate/dataset"

payload = {
    "query": "<string>",
    "response": "<string>",
    "chain_poll_template": {
        "template": "<string>",
        "metric_system_prompt": "<string>",
        "metric_description": "<string>",
        "value_field_name": "rating",
        "explanation_field_name": "explanation",
        "metric_few_shot_examples": [
            {
                "generation_prompt_and_response": "<string>",
                "evaluating_response": "<string>"
            }
        ],
        "response_schema": {}
    },
    "scorer_configuration": {
        "model_alias": "gpt-4.1-mini",
        "num_judges": 3,
        "output_type": "boolean",
        "scoreable_node_types": ["<string>"],
        "cot_enabled": False,
        "ground_truth": False,
        "multimodal_capabilities": []
    },
    "user_prompt": "<string>",
    "dataset_id": "<string>",
    "normalized_input": [
        {
            "text": "<string>",
            "type": "text"
        }
    ],
    "dataset_version_index": 123,
    "limit": 100,
    "starting_token": 123,
    "sort": {}
}
headers = {
    "Splunk-AO-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
  method: 'POST',
  headers: {'Splunk-AO-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    query: '<string>',
    response: '<string>',
    chain_poll_template: {
      template: '<string>',
      metric_system_prompt: '<string>',
      metric_description: '<string>',
      value_field_name: 'rating',
      explanation_field_name: 'explanation',
      metric_few_shot_examples: [{generation_prompt_and_response: '<string>', evaluating_response: '<string>'}],
      response_schema: {}
    },
    scorer_configuration: {
      model_alias: 'gpt-4.1-mini',
      num_judges: 3,
      output_type: 'boolean',
      scoreable_node_types: ['<string>'],
      cot_enabled: false,
      ground_truth: false,
      multimodal_capabilities: []
    },
    user_prompt: '<string>',
    dataset_id: '<string>',
    normalized_input: [{text: '<string>', type: 'text'}],
    dataset_version_index: 123,
    limit: 100,
    starting_token: 123,
    sort: {}
  })
};

fetch('https://api.galileo.ai/v2/scorers/llm/validate/dataset', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.galileo.ai/v2/scorers/llm/validate/dataset",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'query' => '<string>',
    'response' => '<string>',
    'chain_poll_template' => [
        'template' => '<string>',
        'metric_system_prompt' => '<string>',
        'metric_description' => '<string>',
        'value_field_name' => 'rating',
        'explanation_field_name' => 'explanation',
        'metric_few_shot_examples' => [
                [
                                'generation_prompt_and_response' => '<string>',
                                'evaluating_response' => '<string>'
                ]
        ],
        'response_schema' => [
                
        ]
    ],
    'scorer_configuration' => [
        'model_alias' => 'gpt-4.1-mini',
        'num_judges' => 3,
        'output_type' => 'boolean',
        'scoreable_node_types' => [
                '<string>'
        ],
        'cot_enabled' => false,
        'ground_truth' => false,
        'multimodal_capabilities' => [
                
        ]
    ],
    'user_prompt' => '<string>',
    'dataset_id' => '<string>',
    'normalized_input' => [
        [
                'text' => '<string>',
                'type' => 'text'
        ]
    ],
    'dataset_version_index' => 123,
    'limit' => 100,
    'starting_token' => 123,
    'sort' => [
        
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "Splunk-AO-API-Key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.galileo.ai/v2/scorers/llm/validate/dataset"

	payload := strings.NewReader("{\n  \"query\": \"<string>\",\n  \"response\": \"<string>\",\n  \"chain_poll_template\": {\n    \"template\": \"<string>\",\n    \"metric_system_prompt\": \"<string>\",\n    \"metric_description\": \"<string>\",\n    \"value_field_name\": \"rating\",\n    \"explanation_field_name\": \"explanation\",\n    \"metric_few_shot_examples\": [\n      {\n        \"generation_prompt_and_response\": \"<string>\",\n        \"evaluating_response\": \"<string>\"\n      }\n    ],\n    \"response_schema\": {}\n  },\n  \"scorer_configuration\": {\n    \"model_alias\": \"gpt-4.1-mini\",\n    \"num_judges\": 3,\n    \"output_type\": \"boolean\",\n    \"scoreable_node_types\": [\n      \"<string>\"\n    ],\n    \"cot_enabled\": false,\n    \"ground_truth\": false,\n    \"multimodal_capabilities\": []\n  },\n  \"user_prompt\": \"<string>\",\n  \"dataset_id\": \"<string>\",\n  \"normalized_input\": [\n    {\n      \"text\": \"<string>\",\n      \"type\": \"text\"\n    }\n  ],\n  \"dataset_version_index\": 123,\n  \"limit\": 100,\n  \"starting_token\": 123,\n  \"sort\": {}\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Splunk-AO-API-Key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://api.galileo.ai/v2/scorers/llm/validate/dataset")
  .header("Splunk-AO-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"<string>\",\n  \"response\": \"<string>\",\n  \"chain_poll_template\": {\n    \"template\": \"<string>\",\n    \"metric_system_prompt\": \"<string>\",\n    \"metric_description\": \"<string>\",\n    \"value_field_name\": \"rating\",\n    \"explanation_field_name\": \"explanation\",\n    \"metric_few_shot_examples\": [\n      {\n        \"generation_prompt_and_response\": \"<string>\",\n        \"evaluating_response\": \"<string>\"\n      }\n    ],\n    \"response_schema\": {}\n  },\n  \"scorer_configuration\": {\n    \"model_alias\": \"gpt-4.1-mini\",\n    \"num_judges\": 3,\n    \"output_type\": \"boolean\",\n    \"scoreable_node_types\": [\n      \"<string>\"\n    ],\n    \"cot_enabled\": false,\n    \"ground_truth\": false,\n    \"multimodal_capabilities\": []\n  },\n  \"user_prompt\": \"<string>\",\n  \"dataset_id\": \"<string>\",\n  \"normalized_input\": [\n    {\n      \"text\": \"<string>\",\n      \"type\": \"text\"\n    }\n  ],\n  \"dataset_version_index\": 123,\n  \"limit\": 100,\n  \"starting_token\": 123,\n  \"sort\": {}\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api.galileo.ai/v2/scorers/llm/validate/dataset")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Splunk-AO-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"query\": \"<string>\",\n  \"response\": \"<string>\",\n  \"chain_poll_template\": {\n    \"template\": \"<string>\",\n    \"metric_system_prompt\": \"<string>\",\n    \"metric_description\": \"<string>\",\n    \"value_field_name\": \"rating\",\n    \"explanation_field_name\": \"explanation\",\n    \"metric_few_shot_examples\": [\n      {\n        \"generation_prompt_and_response\": \"<string>\",\n        \"evaluating_response\": \"<string>\"\n      }\n    ],\n    \"response_schema\": {}\n  },\n  \"scorer_configuration\": {\n    \"model_alias\": \"gpt-4.1-mini\",\n    \"num_judges\": 3,\n    \"output_type\": \"boolean\",\n    \"scoreable_node_types\": [\n      \"<string>\"\n    ],\n    \"cot_enabled\": false,\n    \"ground_truth\": false,\n    \"multimodal_capabilities\": []\n  },\n  \"user_prompt\": \"<string>\",\n  \"dataset_id\": \"<string>\",\n  \"normalized_input\": [\n    {\n      \"text\": \"<string>\",\n      \"type\": \"text\"\n    }\n  ],\n  \"dataset_version_index\": 123,\n  \"limit\": 100,\n  \"starting_token\": 123,\n  \"sort\": {}\n}"

response = http.request(request)
puts response.read_body
{
  "metrics_experiment_id": "<string>",
  "project_id": "<string>"
}
{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

Authorizations

​
Splunk-AO-API-Key
string
header
required

Body

application/json

Request to validate a new LLM scorer against a dataset.

​
query
string
required
​
response
string
required
​
chain_poll_template
ChainPollTemplate · object
required

Template for a chainpoll metric prompt, containing all the info necessary to send a chainpoll prompt.

​
scorer_configuration
GeneratedScorerConfiguration · object
required
​
user_prompt
string
required
​
dataset_id
string<uuid4>
required
​
normalized_input
(TextContentPart · object | FileContentPart · object)[] | null

Optional multimodal content parts. When set, replaces the text-only query/response formatting in the validation job so that file content is passed through to the LLM.

A text segment within a message.

​
dataset_version_index
integer | null
​
limit
integer
default:100

Maximum number of dataset rows to process.

​
starting_token
integer | null

Pagination offset into dataset rows.

​
sort
Sort · object | null

Optional sort configuration for dataset rows.

Response

Successful Response

​
metrics_experiment_id
string<uuid4>
required
​
project_id
string<uuid4>
required