curl --request POST \
--url https://api.galileo.ai/v2/scorers \
--header 'Content-Type: application/json' \
--header 'Galileo-API-Key: <api-key>' \
--data '
{
"name": "<string>",
"id": "<string>",
"label": "<string>",
"description": "",
"tags": [
"<string>"
],
"defaults": {
"model_name": "<string>",
"num_judges": 123,
"filters": [
{
"value": "<string>",
"name": "node_name",
"case_sensitive": true
}
],
"scoreable_node_types": [
"<string>"
],
"cot_enabled": true,
"invocation": {
"required_inputs": []
}
},
"invocation": {
"required_inputs": []
},
"deprecated": true,
"ground_truth": true,
"default_version_id": "<string>",
"user_prompt": "<string>",
"scoreable_node_types": [
"<string>"
],
"multimodal_capabilities": [],
"required_scorers": [
"<string>"
],
"required_metric_ids": [
"<string>"
],
"metric_color_picker_config": {
"constraints": [
{
"value": 123
}
],
"type": "numeric"
},
"is_global": true,
"project_ids": [
"<string>"
]
}
'import requests
url = "https://api.galileo.ai/v2/scorers"
payload = {
"name": "<string>",
"id": "<string>",
"label": "<string>",
"description": "",
"tags": ["<string>"],
"defaults": {
"model_name": "<string>",
"num_judges": 123,
"filters": [
{
"value": "<string>",
"name": "node_name",
"case_sensitive": True
}
],
"scoreable_node_types": ["<string>"],
"cot_enabled": True,
"invocation": { "required_inputs": [] }
},
"invocation": { "required_inputs": [] },
"deprecated": True,
"ground_truth": True,
"default_version_id": "<string>",
"user_prompt": "<string>",
"scoreable_node_types": ["<string>"],
"multimodal_capabilities": [],
"required_scorers": ["<string>"],
"required_metric_ids": ["<string>"],
"metric_color_picker_config": {
"constraints": [{ "value": 123 }],
"type": "numeric"
},
"is_global": True,
"project_ids": ["<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({
name: '<string>',
id: '<string>',
label: '<string>',
description: '',
tags: ['<string>'],
defaults: {
model_name: '<string>',
num_judges: 123,
filters: [{value: '<string>', name: 'node_name', case_sensitive: true}],
scoreable_node_types: ['<string>'],
cot_enabled: true,
invocation: {required_inputs: []}
},
invocation: {required_inputs: []},
deprecated: true,
ground_truth: true,
default_version_id: '<string>',
user_prompt: '<string>',
scoreable_node_types: ['<string>'],
multimodal_capabilities: [],
required_scorers: ['<string>'],
required_metric_ids: ['<string>'],
metric_color_picker_config: {constraints: [{value: 123}], type: 'numeric'},
is_global: true,
project_ids: ['<string>']
})
};
fetch('https://api.galileo.ai/v2/scorers', 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",
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' => '<string>',
'id' => '<string>',
'label' => '<string>',
'description' => '',
'tags' => [
'<string>'
],
'defaults' => [
'model_name' => '<string>',
'num_judges' => 123,
'filters' => [
[
'value' => '<string>',
'name' => 'node_name',
'case_sensitive' => true
]
],
'scoreable_node_types' => [
'<string>'
],
'cot_enabled' => true,
'invocation' => [
'required_inputs' => [
]
]
],
'invocation' => [
'required_inputs' => [
]
],
'deprecated' => true,
'ground_truth' => true,
'default_version_id' => '<string>',
'user_prompt' => '<string>',
'scoreable_node_types' => [
'<string>'
],
'multimodal_capabilities' => [
],
'required_scorers' => [
'<string>'
],
'required_metric_ids' => [
'<string>'
],
'metric_color_picker_config' => [
'constraints' => [
[
'value' => 123
]
],
'type' => 'numeric'
],
'is_global' => true,
'project_ids' => [
'<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"
payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"id\": \"<string>\",\n \"label\": \"<string>\",\n \"description\": \"\",\n \"tags\": [\n \"<string>\"\n ],\n \"defaults\": {\n \"model_name\": \"<string>\",\n \"num_judges\": 123,\n \"filters\": [\n {\n \"value\": \"<string>\",\n \"name\": \"node_name\",\n \"case_sensitive\": true\n }\n ],\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"cot_enabled\": true,\n \"invocation\": {\n \"required_inputs\": []\n }\n },\n \"invocation\": {\n \"required_inputs\": []\n },\n \"deprecated\": true,\n \"ground_truth\": true,\n \"default_version_id\": \"<string>\",\n \"user_prompt\": \"<string>\",\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"multimodal_capabilities\": [],\n \"required_scorers\": [\n \"<string>\"\n ],\n \"required_metric_ids\": [\n \"<string>\"\n ],\n \"metric_color_picker_config\": {\n \"constraints\": [\n {\n \"value\": 123\n }\n ],\n \"type\": \"numeric\"\n },\n \"is_global\": true,\n \"project_ids\": [\n \"<string>\"\n ]\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")
.header("Galileo-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"id\": \"<string>\",\n \"label\": \"<string>\",\n \"description\": \"\",\n \"tags\": [\n \"<string>\"\n ],\n \"defaults\": {\n \"model_name\": \"<string>\",\n \"num_judges\": 123,\n \"filters\": [\n {\n \"value\": \"<string>\",\n \"name\": \"node_name\",\n \"case_sensitive\": true\n }\n ],\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"cot_enabled\": true,\n \"invocation\": {\n \"required_inputs\": []\n }\n },\n \"invocation\": {\n \"required_inputs\": []\n },\n \"deprecated\": true,\n \"ground_truth\": true,\n \"default_version_id\": \"<string>\",\n \"user_prompt\": \"<string>\",\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"multimodal_capabilities\": [],\n \"required_scorers\": [\n \"<string>\"\n ],\n \"required_metric_ids\": [\n \"<string>\"\n ],\n \"metric_color_picker_config\": {\n \"constraints\": [\n {\n \"value\": 123\n }\n ],\n \"type\": \"numeric\"\n },\n \"is_global\": true,\n \"project_ids\": [\n \"<string>\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.galileo.ai/v2/scorers")
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 \"name\": \"<string>\",\n \"id\": \"<string>\",\n \"label\": \"<string>\",\n \"description\": \"\",\n \"tags\": [\n \"<string>\"\n ],\n \"defaults\": {\n \"model_name\": \"<string>\",\n \"num_judges\": 123,\n \"filters\": [\n {\n \"value\": \"<string>\",\n \"name\": \"node_name\",\n \"case_sensitive\": true\n }\n ],\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"cot_enabled\": true,\n \"invocation\": {\n \"required_inputs\": []\n }\n },\n \"invocation\": {\n \"required_inputs\": []\n },\n \"deprecated\": true,\n \"ground_truth\": true,\n \"default_version_id\": \"<string>\",\n \"user_prompt\": \"<string>\",\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"multimodal_capabilities\": [],\n \"required_scorers\": [\n \"<string>\"\n ],\n \"required_metric_ids\": [\n \"<string>\"\n ],\n \"metric_color_picker_config\": {\n \"constraints\": [\n {\n \"value\": 123\n }\n ],\n \"type\": \"numeric\"\n },\n \"is_global\": true,\n \"project_ids\": [\n \"<string>\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"name": "<string>",
"scorer_type": "llm",
"tags": [
"<string>"
],
"permissions": [],
"label": "",
"defaults": {
"model_name": "<string>",
"num_judges": 123,
"filters": [
{
"operator": "eq",
"value": "<string>",
"name": "node_name",
"case_sensitive": true
}
],
"scoreable_node_types": [
"<string>"
],
"cot_enabled": true,
"output_type": "boolean",
"input_type": "basic",
"invocation": {
"payload_format": "query",
"required_inputs": [
"query"
]
}
},
"invocation": {
"payload_format": "query",
"required_inputs": [
"query"
]
},
"latest_version": {
"id": "<string>",
"version": 123,
"scorer_id": "<string>",
"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": {}
},
"instructions": "<string>",
"user_prompt": "<string>"
},
"registered_scorer": {
"id": "<string>",
"name": "<string>",
"score_type": "<string>"
},
"finetuned_scorer": {
"id": "<string>",
"name": "<string>",
"lora_task_id": 123,
"prompt": "<string>",
"lora_weights_path": "<string>",
"luna_input_type": "span",
"luna_output_type": "float",
"class_name_to_vocab_ix": {},
"executor": "action_completion_luna"
},
"model_name": "<string>",
"num_judges": 123,
"cot_enabled": true
},
"model_type": "slm",
"ground_truth": true,
"default_version_id": "<string>",
"default_version": {
"id": "<string>",
"version": 123,
"scorer_id": "<string>",
"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": {}
},
"instructions": "<string>",
"user_prompt": "<string>"
},
"registered_scorer": {
"id": "<string>",
"name": "<string>",
"score_type": "<string>"
},
"finetuned_scorer": {
"id": "<string>",
"name": "<string>",
"lora_task_id": 123,
"prompt": "<string>",
"lora_weights_path": "<string>",
"luna_input_type": "span",
"luna_output_type": "float",
"class_name_to_vocab_ix": {},
"executor": "action_completion_luna"
},
"model_name": "<string>",
"num_judges": 123,
"cot_enabled": true
},
"user_prompt": "<string>",
"scoreable_node_types": [
"<string>"
],
"output_type": "boolean",
"input_type": "basic",
"multimodal_capabilities": [
"vision"
],
"required_scorers": [
"<string>"
],
"required_metric_ids": [
"<string>"
],
"deprecated": true,
"roll_up_method": "average",
"roll_up_config": {
"roll_up_methods": "<unknown>"
},
"included_fields": [
"<string>"
],
"description": "<string>",
"created_by": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"metric_color_picker_config": {
"constraints": [
{
"color": "red",
"operator": "eq",
"value": 123
}
],
"type": "numeric"
},
"color_threshold_config": {
"constraints": [
{
"color": "red",
"operator": "eq",
"value": 123
}
],
"type": "numeric"
},
"metric_name": "<string>",
"is_global": false,
"scope_projects": [
{
"id": "<string>",
"name": "<string>"
}
]
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Create
curl --request POST \
--url https://api.galileo.ai/v2/scorers \
--header 'Content-Type: application/json' \
--header 'Galileo-API-Key: <api-key>' \
--data '
{
"name": "<string>",
"id": "<string>",
"label": "<string>",
"description": "",
"tags": [
"<string>"
],
"defaults": {
"model_name": "<string>",
"num_judges": 123,
"filters": [
{
"value": "<string>",
"name": "node_name",
"case_sensitive": true
}
],
"scoreable_node_types": [
"<string>"
],
"cot_enabled": true,
"invocation": {
"required_inputs": []
}
},
"invocation": {
"required_inputs": []
},
"deprecated": true,
"ground_truth": true,
"default_version_id": "<string>",
"user_prompt": "<string>",
"scoreable_node_types": [
"<string>"
],
"multimodal_capabilities": [],
"required_scorers": [
"<string>"
],
"required_metric_ids": [
"<string>"
],
"metric_color_picker_config": {
"constraints": [
{
"value": 123
}
],
"type": "numeric"
},
"is_global": true,
"project_ids": [
"<string>"
]
}
'import requests
url = "https://api.galileo.ai/v2/scorers"
payload = {
"name": "<string>",
"id": "<string>",
"label": "<string>",
"description": "",
"tags": ["<string>"],
"defaults": {
"model_name": "<string>",
"num_judges": 123,
"filters": [
{
"value": "<string>",
"name": "node_name",
"case_sensitive": True
}
],
"scoreable_node_types": ["<string>"],
"cot_enabled": True,
"invocation": { "required_inputs": [] }
},
"invocation": { "required_inputs": [] },
"deprecated": True,
"ground_truth": True,
"default_version_id": "<string>",
"user_prompt": "<string>",
"scoreable_node_types": ["<string>"],
"multimodal_capabilities": [],
"required_scorers": ["<string>"],
"required_metric_ids": ["<string>"],
"metric_color_picker_config": {
"constraints": [{ "value": 123 }],
"type": "numeric"
},
"is_global": True,
"project_ids": ["<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({
name: '<string>',
id: '<string>',
label: '<string>',
description: '',
tags: ['<string>'],
defaults: {
model_name: '<string>',
num_judges: 123,
filters: [{value: '<string>', name: 'node_name', case_sensitive: true}],
scoreable_node_types: ['<string>'],
cot_enabled: true,
invocation: {required_inputs: []}
},
invocation: {required_inputs: []},
deprecated: true,
ground_truth: true,
default_version_id: '<string>',
user_prompt: '<string>',
scoreable_node_types: ['<string>'],
multimodal_capabilities: [],
required_scorers: ['<string>'],
required_metric_ids: ['<string>'],
metric_color_picker_config: {constraints: [{value: 123}], type: 'numeric'},
is_global: true,
project_ids: ['<string>']
})
};
fetch('https://api.galileo.ai/v2/scorers', 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",
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' => '<string>',
'id' => '<string>',
'label' => '<string>',
'description' => '',
'tags' => [
'<string>'
],
'defaults' => [
'model_name' => '<string>',
'num_judges' => 123,
'filters' => [
[
'value' => '<string>',
'name' => 'node_name',
'case_sensitive' => true
]
],
'scoreable_node_types' => [
'<string>'
],
'cot_enabled' => true,
'invocation' => [
'required_inputs' => [
]
]
],
'invocation' => [
'required_inputs' => [
]
],
'deprecated' => true,
'ground_truth' => true,
'default_version_id' => '<string>',
'user_prompt' => '<string>',
'scoreable_node_types' => [
'<string>'
],
'multimodal_capabilities' => [
],
'required_scorers' => [
'<string>'
],
'required_metric_ids' => [
'<string>'
],
'metric_color_picker_config' => [
'constraints' => [
[
'value' => 123
]
],
'type' => 'numeric'
],
'is_global' => true,
'project_ids' => [
'<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"
payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"id\": \"<string>\",\n \"label\": \"<string>\",\n \"description\": \"\",\n \"tags\": [\n \"<string>\"\n ],\n \"defaults\": {\n \"model_name\": \"<string>\",\n \"num_judges\": 123,\n \"filters\": [\n {\n \"value\": \"<string>\",\n \"name\": \"node_name\",\n \"case_sensitive\": true\n }\n ],\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"cot_enabled\": true,\n \"invocation\": {\n \"required_inputs\": []\n }\n },\n \"invocation\": {\n \"required_inputs\": []\n },\n \"deprecated\": true,\n \"ground_truth\": true,\n \"default_version_id\": \"<string>\",\n \"user_prompt\": \"<string>\",\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"multimodal_capabilities\": [],\n \"required_scorers\": [\n \"<string>\"\n ],\n \"required_metric_ids\": [\n \"<string>\"\n ],\n \"metric_color_picker_config\": {\n \"constraints\": [\n {\n \"value\": 123\n }\n ],\n \"type\": \"numeric\"\n },\n \"is_global\": true,\n \"project_ids\": [\n \"<string>\"\n ]\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")
.header("Galileo-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"id\": \"<string>\",\n \"label\": \"<string>\",\n \"description\": \"\",\n \"tags\": [\n \"<string>\"\n ],\n \"defaults\": {\n \"model_name\": \"<string>\",\n \"num_judges\": 123,\n \"filters\": [\n {\n \"value\": \"<string>\",\n \"name\": \"node_name\",\n \"case_sensitive\": true\n }\n ],\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"cot_enabled\": true,\n \"invocation\": {\n \"required_inputs\": []\n }\n },\n \"invocation\": {\n \"required_inputs\": []\n },\n \"deprecated\": true,\n \"ground_truth\": true,\n \"default_version_id\": \"<string>\",\n \"user_prompt\": \"<string>\",\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"multimodal_capabilities\": [],\n \"required_scorers\": [\n \"<string>\"\n ],\n \"required_metric_ids\": [\n \"<string>\"\n ],\n \"metric_color_picker_config\": {\n \"constraints\": [\n {\n \"value\": 123\n }\n ],\n \"type\": \"numeric\"\n },\n \"is_global\": true,\n \"project_ids\": [\n \"<string>\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.galileo.ai/v2/scorers")
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 \"name\": \"<string>\",\n \"id\": \"<string>\",\n \"label\": \"<string>\",\n \"description\": \"\",\n \"tags\": [\n \"<string>\"\n ],\n \"defaults\": {\n \"model_name\": \"<string>\",\n \"num_judges\": 123,\n \"filters\": [\n {\n \"value\": \"<string>\",\n \"name\": \"node_name\",\n \"case_sensitive\": true\n }\n ],\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"cot_enabled\": true,\n \"invocation\": {\n \"required_inputs\": []\n }\n },\n \"invocation\": {\n \"required_inputs\": []\n },\n \"deprecated\": true,\n \"ground_truth\": true,\n \"default_version_id\": \"<string>\",\n \"user_prompt\": \"<string>\",\n \"scoreable_node_types\": [\n \"<string>\"\n ],\n \"multimodal_capabilities\": [],\n \"required_scorers\": [\n \"<string>\"\n ],\n \"required_metric_ids\": [\n \"<string>\"\n ],\n \"metric_color_picker_config\": {\n \"constraints\": [\n {\n \"value\": 123\n }\n ],\n \"type\": \"numeric\"\n },\n \"is_global\": true,\n \"project_ids\": [\n \"<string>\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"name": "<string>",
"scorer_type": "llm",
"tags": [
"<string>"
],
"permissions": [],
"label": "",
"defaults": {
"model_name": "<string>",
"num_judges": 123,
"filters": [
{
"operator": "eq",
"value": "<string>",
"name": "node_name",
"case_sensitive": true
}
],
"scoreable_node_types": [
"<string>"
],
"cot_enabled": true,
"output_type": "boolean",
"input_type": "basic",
"invocation": {
"payload_format": "query",
"required_inputs": [
"query"
]
}
},
"invocation": {
"payload_format": "query",
"required_inputs": [
"query"
]
},
"latest_version": {
"id": "<string>",
"version": 123,
"scorer_id": "<string>",
"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": {}
},
"instructions": "<string>",
"user_prompt": "<string>"
},
"registered_scorer": {
"id": "<string>",
"name": "<string>",
"score_type": "<string>"
},
"finetuned_scorer": {
"id": "<string>",
"name": "<string>",
"lora_task_id": 123,
"prompt": "<string>",
"lora_weights_path": "<string>",
"luna_input_type": "span",
"luna_output_type": "float",
"class_name_to_vocab_ix": {},
"executor": "action_completion_luna"
},
"model_name": "<string>",
"num_judges": 123,
"cot_enabled": true
},
"model_type": "slm",
"ground_truth": true,
"default_version_id": "<string>",
"default_version": {
"id": "<string>",
"version": 123,
"scorer_id": "<string>",
"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": {}
},
"instructions": "<string>",
"user_prompt": "<string>"
},
"registered_scorer": {
"id": "<string>",
"name": "<string>",
"score_type": "<string>"
},
"finetuned_scorer": {
"id": "<string>",
"name": "<string>",
"lora_task_id": 123,
"prompt": "<string>",
"lora_weights_path": "<string>",
"luna_input_type": "span",
"luna_output_type": "float",
"class_name_to_vocab_ix": {},
"executor": "action_completion_luna"
},
"model_name": "<string>",
"num_judges": 123,
"cot_enabled": true
},
"user_prompt": "<string>",
"scoreable_node_types": [
"<string>"
],
"output_type": "boolean",
"input_type": "basic",
"multimodal_capabilities": [
"vision"
],
"required_scorers": [
"<string>"
],
"required_metric_ids": [
"<string>"
],
"deprecated": true,
"roll_up_method": "average",
"roll_up_config": {
"roll_up_methods": "<unknown>"
},
"included_fields": [
"<string>"
],
"description": "<string>",
"created_by": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"metric_color_picker_config": {
"constraints": [
{
"color": "red",
"operator": "eq",
"value": 123
}
],
"type": "numeric"
},
"color_threshold_config": {
"constraints": [
{
"color": "red",
"operator": "eq",
"value": 123
}
],
"type": "numeric"
},
"metric_name": "<string>",
"is_global": false,
"scope_projects": [
{
"id": "<string>",
"name": "<string>"
}
]
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Authorizations
Body
llm, code, luna, preset Show child attributes
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How the direct scorer-invoke API validates and serializes inputs.
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slm, llm, code Enumeration of output types.
boolean, categorical, count, discrete, freeform, percentage, multilabel, retrieved_chunk_list_boolean, boolean_multilabel Enumeration of input types.
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 vision, audio Display options for roll up methods when showing rolled up metrics in the UI.
Separates display intent from computation methods. The computation methods (NumericRollUpMethod, CategoricalRollUpMethod) control what aggregations are available. This enum controls how the UI displays the selected roll-up value for a scorer.
average, sum, max, min, category_count, percentage_true, percentage_false Color picker configuration for numeric metrics.
Each constraint maps a numeric condition to a color. The UI uses these constraints to color-code metric values (e.g. green for high scores, red for low scores).
Example: { "type": "numeric", "constraints": [ {"color": "green", "operator": "gte", "value": 0.8}, {"color": "yellow", "operator": "between", "value": [0.3, 0.8]}, {"color": "red", "operator": "lt", "value": 0.3} ] }
- MetricColorPickerNumeric
- MetricColorPickerBoolean
- MetricColorPickerCategorical
- MetricColorPickerMultiLabel
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1000Response
Successful Response
llm, code, luna, preset Show child attributes
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Intrinsic metadata for invoking this scorer directly with query and response inputs.
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Scorer version from the scorer_versions table.
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slm, llm, code Scorer version from the scorer_versions table.
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Enumeration of output types.
boolean, categorical, count, discrete, freeform, percentage, multilabel, retrieved_chunk_list_boolean, boolean_multilabel Enumeration of input types.
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 vision, audio Display options for roll up methods when showing rolled up metrics in the UI.
Separates display intent from computation methods. The computation methods (NumericRollUpMethod, CategoricalRollUpMethod) control what aggregations are available. This enum controls how the UI displays the selected roll-up value for a scorer.
average, sum, max, min, category_count, percentage_true, percentage_false Configuration for rolling up metrics to parent/trace/session.
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Fields that can be used in the scorer to configure it. i.e. model, num_judges, etc. This enables the ui to know which fields a user can configure when they're setting a scorer
Color picker configuration for numeric metrics.
Each constraint maps a numeric condition to a color. The UI uses these constraints to color-code metric values (e.g. green for high scores, red for low scores).
Example: { "type": "numeric", "constraints": [ {"color": "green", "operator": "gte", "value": 0.8}, {"color": "yellow", "operator": "between", "value": [0.3, 0.8]}, {"color": "red", "operator": "lt", "value": 0.3} ] }
- MetricColorPickerNumeric
- MetricColorPickerBoolean
- MetricColorPickerCategorical
- MetricColorPickerMultiLabel
Show child attributes
Show child attributes
Color picker configuration for numeric metrics.
Each constraint maps a numeric condition to a color. The UI uses these constraints to color-code metric values (e.g. green for high scores, red for low scores).
Example: { "type": "numeric", "constraints": [ {"color": "green", "operator": "gte", "value": 0.8}, {"color": "yellow", "operator": "between", "value": [0.3, 0.8]}, {"color": "red", "operator": "lt", "value": 0.3} ] }
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Show child attributes
Show child attributes
Show child attributes
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