Create a custom LLM-as-a-judge evaluator
curl --request POST \
--url https://api.traceloop.com/v2/evaluators \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"input_schema": [
{
"name": "<string>",
"description": "<string>",
"enum_values": [
"<string>"
],
"label": "<string>"
}
],
"messages": [
{
"content": "<string>",
"role": "<string>",
"tool_call_id": "<string>"
}
],
"model": "<string>",
"name": "<string>",
"output_schema": [
{
"name": "<string>",
"description": "<string>",
"enum_values": [
"<string>"
],
"label": "<string>"
}
],
"provider": "<string>",
"description": "<string>",
"frequency_penalty": 123,
"logprobs": true,
"max_tokens": 123,
"mode": "<string>",
"presence_penalty": 123,
"slug": "<string>",
"stop": [
"<string>"
],
"temperature": 123,
"top_p": 123
}
'import requests
url = "https://api.traceloop.com/v2/evaluators"
payload = {
"input_schema": [
{
"name": "<string>",
"description": "<string>",
"enum_values": ["<string>"],
"label": "<string>"
}
],
"messages": [
{
"content": "<string>",
"role": "<string>",
"tool_call_id": "<string>"
}
],
"model": "<string>",
"name": "<string>",
"output_schema": [
{
"name": "<string>",
"description": "<string>",
"enum_values": ["<string>"],
"label": "<string>"
}
],
"provider": "<string>",
"description": "<string>",
"frequency_penalty": 123,
"logprobs": True,
"max_tokens": 123,
"mode": "<string>",
"presence_penalty": 123,
"slug": "<string>",
"stop": ["<string>"],
"temperature": 123,
"top_p": 123
}
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({
input_schema: [
{
name: '<string>',
description: '<string>',
enum_values: ['<string>'],
label: '<string>'
}
],
messages: [{content: '<string>', role: '<string>', tool_call_id: '<string>'}],
model: '<string>',
name: '<string>',
output_schema: [
{
name: '<string>',
description: '<string>',
enum_values: ['<string>'],
label: '<string>'
}
],
provider: '<string>',
description: '<string>',
frequency_penalty: 123,
logprobs: true,
max_tokens: 123,
mode: '<string>',
presence_penalty: 123,
slug: '<string>',
stop: ['<string>'],
temperature: 123,
top_p: 123
})
};
fetch('https://api.traceloop.com/v2/evaluators', 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.traceloop.com/v2/evaluators",
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([
'input_schema' => [
[
'name' => '<string>',
'description' => '<string>',
'enum_values' => [
'<string>'
],
'label' => '<string>'
]
],
'messages' => [
[
'content' => '<string>',
'role' => '<string>',
'tool_call_id' => '<string>'
]
],
'model' => '<string>',
'name' => '<string>',
'output_schema' => [
[
'name' => '<string>',
'description' => '<string>',
'enum_values' => [
'<string>'
],
'label' => '<string>'
]
],
'provider' => '<string>',
'description' => '<string>',
'frequency_penalty' => 123,
'logprobs' => true,
'max_tokens' => 123,
'mode' => '<string>',
'presence_penalty' => 123,
'slug' => '<string>',
'stop' => [
'<string>'
],
'temperature' => 123,
'top_p' => 123
]),
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.traceloop.com/v2/evaluators"
payload := strings.NewReader("{\n \"input_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"role\": \"<string>\",\n \"tool_call_id\": \"<string>\"\n }\n ],\n \"model\": \"<string>\",\n \"name\": \"<string>\",\n \"output_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"provider\": \"<string>\",\n \"description\": \"<string>\",\n \"frequency_penalty\": 123,\n \"logprobs\": true,\n \"max_tokens\": 123,\n \"mode\": \"<string>\",\n \"presence_penalty\": 123,\n \"slug\": \"<string>\",\n \"stop\": [\n \"<string>\"\n ],\n \"temperature\": 123,\n \"top_p\": 123\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.traceloop.com/v2/evaluators")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"input_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"role\": \"<string>\",\n \"tool_call_id\": \"<string>\"\n }\n ],\n \"model\": \"<string>\",\n \"name\": \"<string>\",\n \"output_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"provider\": \"<string>\",\n \"description\": \"<string>\",\n \"frequency_penalty\": 123,\n \"logprobs\": true,\n \"max_tokens\": 123,\n \"mode\": \"<string>\",\n \"presence_penalty\": 123,\n \"slug\": \"<string>\",\n \"stop\": [\n \"<string>\"\n ],\n \"temperature\": 123,\n \"top_p\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.traceloop.com/v2/evaluators")
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 \"input_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"role\": \"<string>\",\n \"tool_call_id\": \"<string>\"\n }\n ],\n \"model\": \"<string>\",\n \"name\": \"<string>\",\n \"output_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"provider\": \"<string>\",\n \"description\": \"<string>\",\n \"frequency_penalty\": 123,\n \"logprobs\": true,\n \"max_tokens\": 123,\n \"mode\": \"<string>\",\n \"presence_penalty\": 123,\n \"slug\": \"<string>\",\n \"stop\": [\n \"<string>\"\n ],\n \"temperature\": 123,\n \"top_p\": 123\n}"
response = http.request(request)
puts response.read_body{
"bindings": [
"<string>"
],
"evaluator_id": "<string>",
"slug": "<string>",
"version_id": "<string>"
}{
"error": "error message"
}{
"error": "error message"
}Evaluators
Create a custom LLM-as-a-judge evaluator
Create a new custom evaluator at the organization level without project or environment bindings. The evaluator uses LLM-as-a-judge to evaluate inputs based on the provided configuration. The response format is automatically generated from the output schema.
POST
/
v2
/
evaluators
Create a custom LLM-as-a-judge evaluator
curl --request POST \
--url https://api.traceloop.com/v2/evaluators \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"input_schema": [
{
"name": "<string>",
"description": "<string>",
"enum_values": [
"<string>"
],
"label": "<string>"
}
],
"messages": [
{
"content": "<string>",
"role": "<string>",
"tool_call_id": "<string>"
}
],
"model": "<string>",
"name": "<string>",
"output_schema": [
{
"name": "<string>",
"description": "<string>",
"enum_values": [
"<string>"
],
"label": "<string>"
}
],
"provider": "<string>",
"description": "<string>",
"frequency_penalty": 123,
"logprobs": true,
"max_tokens": 123,
"mode": "<string>",
"presence_penalty": 123,
"slug": "<string>",
"stop": [
"<string>"
],
"temperature": 123,
"top_p": 123
}
'import requests
url = "https://api.traceloop.com/v2/evaluators"
payload = {
"input_schema": [
{
"name": "<string>",
"description": "<string>",
"enum_values": ["<string>"],
"label": "<string>"
}
],
"messages": [
{
"content": "<string>",
"role": "<string>",
"tool_call_id": "<string>"
}
],
"model": "<string>",
"name": "<string>",
"output_schema": [
{
"name": "<string>",
"description": "<string>",
"enum_values": ["<string>"],
"label": "<string>"
}
],
"provider": "<string>",
"description": "<string>",
"frequency_penalty": 123,
"logprobs": True,
"max_tokens": 123,
"mode": "<string>",
"presence_penalty": 123,
"slug": "<string>",
"stop": ["<string>"],
"temperature": 123,
"top_p": 123
}
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({
input_schema: [
{
name: '<string>',
description: '<string>',
enum_values: ['<string>'],
label: '<string>'
}
],
messages: [{content: '<string>', role: '<string>', tool_call_id: '<string>'}],
model: '<string>',
name: '<string>',
output_schema: [
{
name: '<string>',
description: '<string>',
enum_values: ['<string>'],
label: '<string>'
}
],
provider: '<string>',
description: '<string>',
frequency_penalty: 123,
logprobs: true,
max_tokens: 123,
mode: '<string>',
presence_penalty: 123,
slug: '<string>',
stop: ['<string>'],
temperature: 123,
top_p: 123
})
};
fetch('https://api.traceloop.com/v2/evaluators', 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.traceloop.com/v2/evaluators",
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([
'input_schema' => [
[
'name' => '<string>',
'description' => '<string>',
'enum_values' => [
'<string>'
],
'label' => '<string>'
]
],
'messages' => [
[
'content' => '<string>',
'role' => '<string>',
'tool_call_id' => '<string>'
]
],
'model' => '<string>',
'name' => '<string>',
'output_schema' => [
[
'name' => '<string>',
'description' => '<string>',
'enum_values' => [
'<string>'
],
'label' => '<string>'
]
],
'provider' => '<string>',
'description' => '<string>',
'frequency_penalty' => 123,
'logprobs' => true,
'max_tokens' => 123,
'mode' => '<string>',
'presence_penalty' => 123,
'slug' => '<string>',
'stop' => [
'<string>'
],
'temperature' => 123,
'top_p' => 123
]),
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.traceloop.com/v2/evaluators"
payload := strings.NewReader("{\n \"input_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"role\": \"<string>\",\n \"tool_call_id\": \"<string>\"\n }\n ],\n \"model\": \"<string>\",\n \"name\": \"<string>\",\n \"output_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"provider\": \"<string>\",\n \"description\": \"<string>\",\n \"frequency_penalty\": 123,\n \"logprobs\": true,\n \"max_tokens\": 123,\n \"mode\": \"<string>\",\n \"presence_penalty\": 123,\n \"slug\": \"<string>\",\n \"stop\": [\n \"<string>\"\n ],\n \"temperature\": 123,\n \"top_p\": 123\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.traceloop.com/v2/evaluators")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"input_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"role\": \"<string>\",\n \"tool_call_id\": \"<string>\"\n }\n ],\n \"model\": \"<string>\",\n \"name\": \"<string>\",\n \"output_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"provider\": \"<string>\",\n \"description\": \"<string>\",\n \"frequency_penalty\": 123,\n \"logprobs\": true,\n \"max_tokens\": 123,\n \"mode\": \"<string>\",\n \"presence_penalty\": 123,\n \"slug\": \"<string>\",\n \"stop\": [\n \"<string>\"\n ],\n \"temperature\": 123,\n \"top_p\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.traceloop.com/v2/evaluators")
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 \"input_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"role\": \"<string>\",\n \"tool_call_id\": \"<string>\"\n }\n ],\n \"model\": \"<string>\",\n \"name\": \"<string>\",\n \"output_schema\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"label\": \"<string>\"\n }\n ],\n \"provider\": \"<string>\",\n \"description\": \"<string>\",\n \"frequency_penalty\": 123,\n \"logprobs\": true,\n \"max_tokens\": 123,\n \"mode\": \"<string>\",\n \"presence_penalty\": 123,\n \"slug\": \"<string>\",\n \"stop\": [\n \"<string>\"\n ],\n \"temperature\": 123,\n \"top_p\": 123\n}"
response = http.request(request)
puts response.read_body{
"bindings": [
"<string>"
],
"evaluator_id": "<string>",
"slug": "<string>",
"version_id": "<string>"
}{
"error": "error message"
}{
"error": "error message"
}Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
application/json
Custom evaluator creation input
Schemas
Show child attributes
Show child attributes
LLM Message configuration
Show child attributes
Show child attributes
LLM parameters (from BaseLLMConfig)
Basic fields
Show child attributes
Show child attributes
Provider configuration
Response
OK
Available options:
AGENT_GOAL_ACCURACY, CHAR_COUNT, CHAR_COUNT_RATIO, ANSWER_COMPLETENESS, FAITHFULNESS, JSON_VALIDATOR, PERPLEXITY, PII_DETECTOR, PLACEHOLDER_REGEX, PROFANITY_DETECTOR, SEXISM_DETECTOR, PROMPT_INJECTION, TONE_DETECTION, PROMPT_PERPLEXITY, TOXICITY_DETECTOR, ANSWER_RELEVANCY, ANSWER_CORRECTNESS, REGEX_VALIDATOR, SECRETS_DETECTOR, SQL_VALIDATOR, SEMANTIC_SIMILARITY, TOPIC_ADHERENCE, UNCERTAINTY_DETECTOR, WORD_COUNT, WORD_COUNT_RATIO, INSTRUCTION_ADHERENCE, AGENT_FLOW_QUALITY, AGENT_EFFICIENCY, AGENT_GOAL_COMPLETENESS, CONVERSATION_QUALITY, INTENT_CHANGE, CONTEXT_RELEVANCE, AGENT_TOOL_ERROR_DETECTOR, AGENT_TOOL_TRAJECTORY, HTML_COMPARISON, LLM_AS_A_JUDGE Was this page helpful?
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