Revise metric configuration with AI ("Update With AI")

curl --request POST \
  --url https://api.galtea.ai/metrics/update-config \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Refusal Quality",
  "currentJudgePrompt": "<string>",
  "feedback": "it should not penalise a short answer",
  "description": "<string>",
  "currentEvaluationParams": [
    "<string>"
  ],
  "tags": [
    "<string>"
  ],
  "productId": "prod_123",
  "specificationIds": [
    "<string>"
  ]
}
'

import requests

url = "https://api.galtea.ai/metrics/update-config"

payload = {
    "name": "Refusal Quality",
    "currentJudgePrompt": "<string>",
    "feedback": "it should not penalise a short answer",
    "description": "<string>",
    "currentEvaluationParams": ["<string>"],
    "tags": ["<string>"],
    "productId": "prod_123",
    "specificationIds": ["<string>"]
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'Refusal Quality',
    currentJudgePrompt: '<string>',
    feedback: 'it should not penalise a short answer',
    description: '<string>',
    currentEvaluationParams: ['<string>'],
    tags: ['<string>'],
    productId: 'prod_123',
    specificationIds: ['<string>']
  })
};

fetch('https://api.galtea.ai/metrics/update-config', 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.galtea.ai/metrics/update-config",
  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([
    'name' => 'Refusal Quality',
    'currentJudgePrompt' => '<string>',
    'feedback' => 'it should not penalise a short answer',
    'description' => '<string>',
    'currentEvaluationParams' => [
        '<string>'
    ],
    'tags' => [
        '<string>'
    ],
    'productId' => 'prod_123',
    'specificationIds' => [
        '<string>'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($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.galtea.ai/metrics/update-config"

	payload := strings.NewReader("{\n  \"name\": \"Refusal Quality\",\n  \"currentJudgePrompt\": \"<string>\",\n  \"feedback\": \"it should not penalise a short answer\",\n  \"description\": \"<string>\",\n  \"currentEvaluationParams\": [\n    \"<string>\"\n  ],\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"prod_123\",\n  \"specificationIds\": [\n    \"<string>\"\n  ]\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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.galtea.ai/metrics/update-config")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Refusal Quality\",\n  \"currentJudgePrompt\": \"<string>\",\n  \"feedback\": \"it should not penalise a short answer\",\n  \"description\": \"<string>\",\n  \"currentEvaluationParams\": [\n    \"<string>\"\n  ],\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"prod_123\",\n  \"specificationIds\": [\n    \"<string>\"\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galtea.ai/metrics/update-config")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"Refusal Quality\",\n  \"currentJudgePrompt\": \"<string>\",\n  \"feedback\": \"it should not penalise a short answer\",\n  \"description\": \"<string>\",\n  \"currentEvaluationParams\": [\n    \"<string>\"\n  ],\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"prod_123\",\n  \"specificationIds\": [\n    \"<string>\"\n  ]\n}"

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

{
  "judgePrompt": "<string>",
  "evaluationParams": [
    "<string>"
  ],
  "description": "<string>"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}

POST

metrics

update-config

Revise metric configuration with AI ("Update With AI")

curl --request POST \
  --url https://api.galtea.ai/metrics/update-config \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Refusal Quality",
  "currentJudgePrompt": "<string>",
  "feedback": "it should not penalise a short answer",
  "description": "<string>",
  "currentEvaluationParams": [
    "<string>"
  ],
  "tags": [
    "<string>"
  ],
  "productId": "prod_123",
  "specificationIds": [
    "<string>"
  ]
}
'

import requests

url = "https://api.galtea.ai/metrics/update-config"

payload = {
    "name": "Refusal Quality",
    "currentJudgePrompt": "<string>",
    "feedback": "it should not penalise a short answer",
    "description": "<string>",
    "currentEvaluationParams": ["<string>"],
    "tags": ["<string>"],
    "productId": "prod_123",
    "specificationIds": ["<string>"]
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'Refusal Quality',
    currentJudgePrompt: '<string>',
    feedback: 'it should not penalise a short answer',
    description: '<string>',
    currentEvaluationParams: ['<string>'],
    tags: ['<string>'],
    productId: 'prod_123',
    specificationIds: ['<string>']
  })
};

fetch('https://api.galtea.ai/metrics/update-config', 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.galtea.ai/metrics/update-config",
  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([
    'name' => 'Refusal Quality',
    'currentJudgePrompt' => '<string>',
    'feedback' => 'it should not penalise a short answer',
    'description' => '<string>',
    'currentEvaluationParams' => [
        '<string>'
    ],
    'tags' => [
        '<string>'
    ],
    'productId' => 'prod_123',
    'specificationIds' => [
        '<string>'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($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.galtea.ai/metrics/update-config"

	payload := strings.NewReader("{\n  \"name\": \"Refusal Quality\",\n  \"currentJudgePrompt\": \"<string>\",\n  \"feedback\": \"it should not penalise a short answer\",\n  \"description\": \"<string>\",\n  \"currentEvaluationParams\": [\n    \"<string>\"\n  ],\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"prod_123\",\n  \"specificationIds\": [\n    \"<string>\"\n  ]\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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.galtea.ai/metrics/update-config")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Refusal Quality\",\n  \"currentJudgePrompt\": \"<string>\",\n  \"feedback\": \"it should not penalise a short answer\",\n  \"description\": \"<string>\",\n  \"currentEvaluationParams\": [\n    \"<string>\"\n  ],\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"prod_123\",\n  \"specificationIds\": [\n    \"<string>\"\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galtea.ai/metrics/update-config")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"Refusal Quality\",\n  \"currentJudgePrompt\": \"<string>\",\n  \"feedback\": \"it should not penalise a short answer\",\n  \"description\": \"<string>\",\n  \"currentEvaluationParams\": [\n    \"<string>\"\n  ],\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"prod_123\",\n  \"specificationIds\": [\n    \"<string>\"\n  ]\n}"

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

{
  "judgePrompt": "<string>",
  "evaluationParams": [
    "<string>"
  ],
  "description": "<string>"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}

{
  "error": "Error type",
  "message": "Error message description"
}

Authorizations

Authorization

string

header

required

API key authorization. Pass your API key in the Authorization header as a Bearer token. Both new (gsk_*) and legacy (gsk-) API keys are accepted, e.g. Authorization: Bearer gsk_... or Authorization: Bearer gsk-....

Body

application/json

name

string

required

The metric's user-authored name — context for the revision, not returned in the response.

Required string length: 1 - 200

Example:

"Refusal Quality"

evaluationType

enum<string>

required

PARTIAL_PROMPT (binary LLM judge) or HUMAN_EVALUATION (0-100 annotator guidelines).

Available options:

PARTIAL_PROMPT,

HUMAN_EVALUATION

currentJudgePrompt

string

required

The metric's current judge prompt — the starting point the revision builds on.

Required string length: 1 - 20000

feedback

string

required

Free-text instruction describing what to change about the current judge prompt.

Required string length: 1 - 2000

Example:

"it should not penalise a short answer"

description

string

The metric's user-authored description — the criteria the judge prompt must evaluate.

Required string length: 1 - 5000

currentEvaluationParams

string[]

The metric's current evaluation parameters, changed only if the feedback requires it. Always send them when the metric has any; omitting them can produce a revision whose declared parameters do not match its prompt.

Maximum array length: 20

Required string length: 1 - 64

Response

Revised metric configuration suggestion

judgePrompt

string

required

The revised judge prompt, built on the current one.

evaluationParams

string[]

required

The revised evaluation parameters.

description

string | null

required

The revised metric description.

API Reference

api-tokens

auth

organizations

user-groups

metrics

specifications

models

products

versions

monitors

endpoint-connections

datasets

test-cases

sessions

traces

spans

evaluations

analytics

storage

evaluator-models

jobs

otel

phone-connections

web-rtc-connections

comments

Revise metric configuration with AI ("Update With AI")

Authorizations

Body

Response