Create an eval rule
curl --request POST \
--url https://api.trulayer.ai/v1/eval-rules \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"metric_name": "<string>",
"config": {},
"enabled": true,
"model_tier": "cheap",
"min_score_drop": 1
}
'import requests
url = "https://api.trulayer.ai/v1/eval-rules"
payload = {
"project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"metric_name": "<string>",
"config": {},
"enabled": True,
"model_tier": "cheap",
"min_score_drop": 1
}
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({
project_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
metric_name: '<string>',
config: {},
enabled: true,
model_tier: 'cheap',
min_score_drop: 1
})
};
fetch('https://api.trulayer.ai/v1/eval-rules', 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.trulayer.ai/v1/eval-rules",
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([
'project_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'metric_name' => '<string>',
'config' => [
],
'enabled' => true,
'model_tier' => 'cheap',
'min_score_drop' => 1
]),
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.trulayer.ai/v1/eval-rules"
payload := strings.NewReader("{\n \"project_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"metric_name\": \"<string>\",\n \"config\": {},\n \"enabled\": true,\n \"model_tier\": \"cheap\",\n \"min_score_drop\": 1\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.trulayer.ai/v1/eval-rules")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"project_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"metric_name\": \"<string>\",\n \"config\": {},\n \"enabled\": true,\n \"model_tier\": \"cheap\",\n \"min_score_drop\": 1\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.trulayer.ai/v1/eval-rules")
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 \"project_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"metric_name\": \"<string>\",\n \"config\": {},\n \"enabled\": true,\n \"model_tier\": \"cheap\",\n \"min_score_drop\": 1\n}"
response = http.request(request)
puts response.read_body{
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"tenant_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"metric_name": "<string>",
"evaluator_type": "llm",
"enabled": true,
"model_tier": "cheap",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"config": {},
"min_score_drop": 1
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}eval-rules
Create an eval rule
POST
/
v1
/
eval-rules
Create an eval rule
curl --request POST \
--url https://api.trulayer.ai/v1/eval-rules \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"metric_name": "<string>",
"config": {},
"enabled": true,
"model_tier": "cheap",
"min_score_drop": 1
}
'import requests
url = "https://api.trulayer.ai/v1/eval-rules"
payload = {
"project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"metric_name": "<string>",
"config": {},
"enabled": True,
"model_tier": "cheap",
"min_score_drop": 1
}
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({
project_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
metric_name: '<string>',
config: {},
enabled: true,
model_tier: 'cheap',
min_score_drop: 1
})
};
fetch('https://api.trulayer.ai/v1/eval-rules', 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.trulayer.ai/v1/eval-rules",
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([
'project_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'metric_name' => '<string>',
'config' => [
],
'enabled' => true,
'model_tier' => 'cheap',
'min_score_drop' => 1
]),
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.trulayer.ai/v1/eval-rules"
payload := strings.NewReader("{\n \"project_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"metric_name\": \"<string>\",\n \"config\": {},\n \"enabled\": true,\n \"model_tier\": \"cheap\",\n \"min_score_drop\": 1\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.trulayer.ai/v1/eval-rules")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"project_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"metric_name\": \"<string>\",\n \"config\": {},\n \"enabled\": true,\n \"model_tier\": \"cheap\",\n \"min_score_drop\": 1\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.trulayer.ai/v1/eval-rules")
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 \"project_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"metric_name\": \"<string>\",\n \"config\": {},\n \"enabled\": true,\n \"model_tier\": \"cheap\",\n \"min_score_drop\": 1\n}"
response = http.request(request)
puts response.read_body{
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"tenant_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"metric_name": "<string>",
"evaluator_type": "llm",
"enabled": true,
"model_tier": "cheap",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"config": {},
"min_score_drop": 1
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}Authorizations
SDK API key (tl_...) or Clerk session JWT
Body
application/json
Available options:
llm, rule Available options:
cheap, premium Optional per-rule RemediationRegression threshold (TRU-387).
See EvalRule.min_score_drop for semantics.
Required range:
x >= 0Response
Eval rule created
Available options:
llm, rule Available options:
cheap, premium Per-rule floor for the RemediationRegression detector (TRU-387). A regression alert fires only when the post-remediation score has dropped by at least this much from the original score. Omitted or null means "use the platform default (0.0)" — alert on any drop. Negative values are rejected.
Required range:
x >= 0