Generate or complete metric configuration with AI

curl --request POST \
  --url https://api.galtea.ai/metrics/generate-config \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "specificationIds": [
    "spec_123",
    "spec_456"
  ],
  "automaticCreation": false,
  "maxMetricsPerSpecification": 123,
  "isOnboarding": false,
  "name": "<string>",
  "description": "<string>",
  "tags": [
    "<string>"
  ],
  "productId": "<string>"
}
'

import requests

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

payload = {
    "specificationIds": ["spec_123", "spec_456"],
    "automaticCreation": False,
    "maxMetricsPerSpecification": 123,
    "isOnboarding": False,
    "name": "<string>",
    "description": "<string>",
    "tags": ["<string>"],
    "productId": "<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({
    specificationIds: ['spec_123', 'spec_456'],
    automaticCreation: false,
    maxMetricsPerSpecification: 123,
    isOnboarding: false,
    name: '<string>',
    description: '<string>',
    tags: ['<string>'],
    productId: '<string>'
  })
};

fetch('https://api.galtea.ai/metrics/generate-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/generate-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([
    'specificationIds' => [
        'spec_123',
        'spec_456'
    ],
    'automaticCreation' => false,
    'maxMetricsPerSpecification' => 123,
    'isOnboarding' => false,
    'name' => '<string>',
    'description' => '<string>',
    'tags' => [
        '<string>'
    ],
    'productId' => '<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/generate-config"

	payload := strings.NewReader("{\n  \"specificationIds\": [\n    \"spec_123\",\n    \"spec_456\"\n  ],\n  \"automaticCreation\": false,\n  \"maxMetricsPerSpecification\": 123,\n  \"isOnboarding\": false,\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"<string>\"\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/generate-config")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"specificationIds\": [\n    \"spec_123\",\n    \"spec_456\"\n  ],\n  \"automaticCreation\": false,\n  \"maxMetricsPerSpecification\": 123,\n  \"isOnboarding\": false,\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galtea.ai/metrics/generate-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  \"specificationIds\": [\n    \"spec_123\",\n    \"spec_456\"\n  ],\n  \"automaticCreation\": false,\n  \"maxMetricsPerSpecification\": 123,\n  \"isOnboarding\": false,\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"<string>\"\n}"

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

{}

[
  {
    "id": "metric_123",
    "metricGroupId": "metric_123",
    "parentMetricId": "metric_122",
    "organizationId": "org_123",
    "userId": "user_123",
    "name": "Accuracy",
    "evaluationParams": [
      "input",
      "actual_output",
      "expected_output"
    ],
    "source": "PARTIAL_PROMPT",
    "judgePrompt": "Evaluate the accuracy of the response",
    "tags": [
      "accuracy",
      "quality"
    ],
    "description": "Measures the accuracy of responses",
    "documentationUrl": "https://docs.example.com/metrics/accuracy",
    "evaluatorModelName": "GPT-4",
    "areEvalParamsTop": true,
    "isBeingOptimized": true,
    "specificationIds": [
      "spec_123"
    ],
    "userGroupIds": [
      "ug_123"
    ],
    "createdAt": "2023-11-07T05:31:56Z",
    "legacyAt": "2023-11-07T05:31:56Z",
    "disabledAt": "2023-11-07T05:31:56Z"
  }
]

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

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

Generate or complete metric configuration with AI

Two modes, selected by the request body:

Spec mode (provide specificationIds): generates 1-3 metric configurations per specification, optionally creating the metrics automatically.
Completion mode (“Complete With AI”, provide name + description + evaluationType): completes a single metric the user is authoring. The name/description/evaluationType/tags are the source of truth; only the judge prompt, evaluation params, and evaluator model are generated. specificationIds may carry at most one id as optional context.

See Metrics.

POST

metrics

generate-config

Generate or complete metric configuration with AI

curl --request POST \
  --url https://api.galtea.ai/metrics/generate-config \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "specificationIds": [
    "spec_123",
    "spec_456"
  ],
  "automaticCreation": false,
  "maxMetricsPerSpecification": 123,
  "isOnboarding": false,
  "name": "<string>",
  "description": "<string>",
  "tags": [
    "<string>"
  ],
  "productId": "<string>"
}
'

import requests

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

payload = {
    "specificationIds": ["spec_123", "spec_456"],
    "automaticCreation": False,
    "maxMetricsPerSpecification": 123,
    "isOnboarding": False,
    "name": "<string>",
    "description": "<string>",
    "tags": ["<string>"],
    "productId": "<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({
    specificationIds: ['spec_123', 'spec_456'],
    automaticCreation: false,
    maxMetricsPerSpecification: 123,
    isOnboarding: false,
    name: '<string>',
    description: '<string>',
    tags: ['<string>'],
    productId: '<string>'
  })
};

fetch('https://api.galtea.ai/metrics/generate-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/generate-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([
    'specificationIds' => [
        'spec_123',
        'spec_456'
    ],
    'automaticCreation' => false,
    'maxMetricsPerSpecification' => 123,
    'isOnboarding' => false,
    'name' => '<string>',
    'description' => '<string>',
    'tags' => [
        '<string>'
    ],
    'productId' => '<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/generate-config"

	payload := strings.NewReader("{\n  \"specificationIds\": [\n    \"spec_123\",\n    \"spec_456\"\n  ],\n  \"automaticCreation\": false,\n  \"maxMetricsPerSpecification\": 123,\n  \"isOnboarding\": false,\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"<string>\"\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/generate-config")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"specificationIds\": [\n    \"spec_123\",\n    \"spec_456\"\n  ],\n  \"automaticCreation\": false,\n  \"maxMetricsPerSpecification\": 123,\n  \"isOnboarding\": false,\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galtea.ai/metrics/generate-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  \"specificationIds\": [\n    \"spec_123\",\n    \"spec_456\"\n  ],\n  \"automaticCreation\": false,\n  \"maxMetricsPerSpecification\": 123,\n  \"isOnboarding\": false,\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"productId\": \"<string>\"\n}"

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

{}

[
  {
    "id": "metric_123",
    "metricGroupId": "metric_123",
    "parentMetricId": "metric_122",
    "organizationId": "org_123",
    "userId": "user_123",
    "name": "Accuracy",
    "evaluationParams": [
      "input",
      "actual_output",
      "expected_output"
    ],
    "source": "PARTIAL_PROMPT",
    "judgePrompt": "Evaluate the accuracy of the response",
    "tags": [
      "accuracy",
      "quality"
    ],
    "description": "Measures the accuracy of responses",
    "documentationUrl": "https://docs.example.com/metrics/accuracy",
    "evaluatorModelName": "GPT-4",
    "areEvalParamsTop": true,
    "isBeingOptimized": true,
    "specificationIds": [
      "spec_123"
    ],
    "userGroupIds": [
      "ug_123"
    ],
    "createdAt": "2023-11-07T05:31:56Z",
    "legacyAt": "2023-11-07T05:31:56Z",
    "disabledAt": "2023-11-07T05:31:56Z"
  }
]

{
  "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

specificationIds

string[]

Spec mode - IDs of the specifications to generate metrics for. Completion mode - at most one id used as context.

Example:

["spec_123", "spec_456"]

automaticCreation

boolean

Spec mode only - when true, creates metrics from generated config

Example:

false

maxMetricsPerSpecification

integer

Spec mode only - maximum number of metrics to generate per specification

isOnboarding

boolean

Spec mode only - whether this is an onboarding flow

Example:

false

name

string

Completion mode - the user-authored metric name (source of truth)

description

string

Completion mode - the user-authored metric description (the criteria to evaluate)

evaluationType

enum<string>

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

Available options:

PARTIAL_PROMPT,

HUMAN_EVALUATION

Response

Metric configuration generated successfully

Generated metric configuration suggestion

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

Generate or complete metric configuration with AI

Authorizations

Body

Response