Create Luna Scorer Version

POST /v2/scorers/{scorer_id}/version/luna

Create Luna Scorer Version

cURL

curl --request POST \
  --url https://api.galileo.ai/v2/scorers/{scorer_id}/version/luna \
  --header 'Content-Type: application/json' \
  --header 'Galileo-API-Key: <api-key>' \
  --data '
{
  "lora_task_id": 123,
  "prompt": "<string>",
  "lora_weights_path": "<string>"
}
'

import requests

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

payload = {
    "lora_task_id": 123,
    "prompt": "<string>",
    "lora_weights_path": "<string>"
}
headers = {
    "Galileo-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Galileo-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({lora_task_id: 123, prompt: '<string>', lora_weights_path: '<string>'})
};

fetch('https://api.galileo.ai/v2/scorers/{scorer_id}/version/luna', 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/luna",
  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([
    'lora_task_id' => 123,
    'prompt' => '<string>',
    'lora_weights_path' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "Galileo-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/luna"

	payload := strings.NewReader("{\n  \"lora_task_id\": 123,\n  \"prompt\": \"<string>\",\n  \"lora_weights_path\": \"<string>\"\n}")

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

	req.Header.Add("Galileo-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/luna")
  .header("Galileo-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"lora_task_id\": 123,\n  \"prompt\": \"<string>\",\n  \"lora_weights_path\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

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

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

request = Net::HTTP::Post.new(url)
request["Galileo-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"lora_task_id\": 123,\n  \"prompt\": \"<string>\",\n  \"lora_weights_path\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

200

{
  "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

ClassicAPIKeyHeaderAPIKeyHeaderOAuth2PasswordBearerHTTPBasic

Galileo-API-Key · string · header · required

Path Parameters

scorer_id · string<uuid4> · required

Body

application/json

lora_task_id · integer · required

prompt · string · required

lora_weights_path · string | null

executor · enum<string> | null

Executor pipeline. Defaults to finetuned scorer pipeline but can run custom galileo score pipelines.

Available options: action_completion_luna, action_advancement_luna, agentic_session_success, agentic_session_success, agentic_workflow_success, agentic_workflow_success, agent_efficiency, agent_flow, bleu, chunk_attribution_utilization_luna, chunk_attribution_utilization, chunk_relevance, chunk_relevance_luna, context_precision, precision_at_k, completeness_luna, completeness, context_adherence, context_adherence_luna, context_adherence_vision, context_adherence_audio, context_relevance, context_relevance_luna, conversation_quality, correctness, ground_truth_adherence, visual_fidelity, visual_quality, input_pii, input_pii_gpt, input_sexist, input_sexist, input_sexist_luna, input_sexist_luna, input_tone, input_tone_gpt, input_toxicity, input_toxicity_luna, input_toxicity_vision, input_toxicity_audio, instruction_adherence, output_pii, output_pii_gpt, output_sexist, output_sexist, output_sexist_luna, output_sexist_luna, output_tone, output_tone_gpt, output_toxicity, output_toxicity_luna, output_toxicity_vision, output_toxicity_audio, prompt_injection, prompt_injection_luna, prompt_perplexity, rouge, reasoning_coherence, sql_efficiency, sql_adherence, sql_injection, sql_correctness, tool_error_rate, tool_error_rate_luna, tool_selection_quality, tool_selection_quality_luna, uncertainty, user_intent_change, interruption_detection

luna_input_type · enum<string> | null

Available options: span, trace_object, trace_input_output_only

luna_output_type · enum<string> | null

Available options: float, string, string_list, bool_list

Response

200

application/json

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

Show child attributes

registered_scorer · CreateUpdateRegisteredScorerResponse · object | null

Show child attributes

finetuned_scorer · FineTunedScorerResponse · object | null

Show child attributes

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.

Show child attributes

allowed_model · boolean | null

created_by · string<uuid4> | null