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POST
/
v2
/
scorers
/
{scorer_id}
/
version
/
llm
Create Llm Scorer Version
curl --request POST \
  --url https://api.galileo.ai/v2/scorers/{scorer_id}/version/llm \
  --header 'Content-Type: application/json' \
  --header 'Splunk-AO-API-Key: <api-key>' \
  --data '
{
  "model_name": "<string>",
  "num_judges": 123,
  "scoreable_node_types": [
    "<string>"
  ],
  "cot_enabled": true,
  "instructions": "<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": {}
  },
  "user_prompt": "<string>"
}
'
import requests

url = "https://api.galileo.ai/v2/scorers/{scorer_id}/version/llm"

payload = {
    "model_name": "<string>",
    "num_judges": 123,
    "scoreable_node_types": ["<string>"],
    "cot_enabled": True,
    "instructions": "<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": {}
    },
    "user_prompt": "<string>"
}
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({
    model_name: '<string>',
    num_judges: 123,
    scoreable_node_types: ['<string>'],
    cot_enabled: true,
    instructions: '<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: {}
    },
    user_prompt: '<string>'
  })
};

fetch('https://api.galileo.ai/v2/scorers/{scorer_id}/version/llm', 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/{scorer_id}/version/llm",
  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([
    'model_name' => '<string>',
    'num_judges' => 123,
    'scoreable_node_types' => [
        '<string>'
    ],
    'cot_enabled' => true,
    'instructions' => '<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' => [
                
        ]
    ],
    'user_prompt' => '<string>'
  ]),
  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/{scorer_id}/version/llm"

	payload := strings.NewReader("{\n  \"model_name\": \"<string>\",\n  \"num_judges\": 123,\n  \"scoreable_node_types\": [\n    \"<string>\"\n  ],\n  \"cot_enabled\": true,\n  \"instructions\": \"<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  \"user_prompt\": \"<string>\"\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/{scorer_id}/version/llm")
  .header("Splunk-AO-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model_name\": \"<string>\",\n  \"num_judges\": 123,\n  \"scoreable_node_types\": [\n    \"<string>\"\n  ],\n  \"cot_enabled\": true,\n  \"instructions\": \"<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  \"user_prompt\": \"<string>\"\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api.galileo.ai/v2/scorers/{scorer_id}/version/llm")

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  \"model_name\": \"<string>\",\n  \"num_judges\": 123,\n  \"scoreable_node_types\": [\n    \"<string>\"\n  ],\n  \"cot_enabled\": true,\n  \"instructions\": \"<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  \"user_prompt\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body
{
  "id": "<string>",
  "version": 123,
  "scorer_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "generated_scorer": {
    "id": "<string>",
    "name": "<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": {}
    },
    "created_by": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "scoreable_node_types": [],
    "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": []
    },
    "instructions": "<string>",
    "user_prompt": "<string>"
  },
  "registered_scorer": {
    "id": "<string>",
    "name": "<string>",
    "score_type": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "created_by": "<string>",
    "scoreable_node_types": [
      "<string>"
    ]
  },
  "finetuned_scorer": {
    "id": "<string>",
    "name": "<string>",
    "lora_task_id": 123,
    "prompt": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "created_by": "<string>",
    "lora_weights_path": "<string>",
    "class_name_to_vocab_ix": {}
  },
  "model_name": "<string>",
  "num_judges": 123,
  "scoreable_node_types": [
    "<string>"
  ],
  "cot_enabled": true,
  "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": {}
  },
  "allowed_model": true,
  "created_by": "<string>"
}
{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

Authorizations

​
Splunk-AO-API-Key
string
header
required

Path Parameters

​
scorer_id
string<uuid4>
required

Body

application/json
​
model_name
string | null
​
num_judges
integer | null
​
scoreable_node_types
string[] | null
​
cot_enabled
boolean | null
​
output_type
enum<string> | null

Enumeration of output types.

Available options:
boolean,
categorical,
count,
discrete,
freeform,
percentage,
multilabel,
retrieved_chunk_list_boolean,
boolean_multilabel
​
input_type
enum<string> | null

Enumeration of input types.

Available options:
basic,
llm_spans,
retriever_spans,
sessions_normalized,
sessions_trace_io_only,
tool_spans,
trace_input_only,
trace_io_only,
trace_normalized,
trace_output_only,
agent_spans,
workflow_spans
​
instructions
string | null
​
chain_poll_template
ChainPollTemplate · object | null

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

​
user_prompt
string | null

Response

Successful Response

​
id
string<uuid4>
required
​
version
integer
required
​
scorer_id
string<uuid4>
required
​
created_at
string<date-time>
required
​
updated_at
string<date-time>
required
​
generated_scorer
GeneratedScorerResponse · object | null
​
registered_scorer
CreateUpdateRegisteredScorerResponse · object | null
​
finetuned_scorer
FineTunedScorerResponse · object | null
​
model_name
string | null
​
num_judges
integer | null
​
scoreable_node_types
string[] | null
​
cot_enabled
boolean | null
​
output_type
enum<string> | null

Enumeration of output types.

Available options:
boolean,
categorical,
count,
discrete,
freeform,
percentage,
multilabel,
retrieved_chunk_list_boolean,
boolean_multilabel
​
input_type
enum<string> | null

What type of input to use for model-based scorers (sessions_normalized, trace_io_only, etc.).

Available options:
basic,
llm_spans,
retriever_spans,
sessions_normalized,
sessions_trace_io_only,
tool_spans,
trace_input_only,
trace_io_only,
trace_normalized,
trace_output_only,
agent_spans,
workflow_spans
​
chain_poll_template
ChainPollTemplate · object | null

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

​
allowed_model
boolean | null
​
created_by
string<uuid4> | null