Update product
curl --request PATCH \
--url https://api.galtea.ai/products/{id} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"id": "prod_123",
"organizationId": "org_123",
"userId": "user_123",
"name": "Sample Product",
"description": "Sample product description",
"riskLevel": "HIGH",
"operatorType": "PROVIDER",
"interactionMode": "CONVERSATIONAL",
"primaryTask": "QUESTION_ANSWERING_RAG",
"capabilities": "Can process and analyze data",
"inabilities": "Cannot process sensitive financial data",
"policies": "Must comply with data protection regulations",
"otelInputSourceRule": {
"spanName": "ExecuteActivity:add_user_message",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "user"
}
},
"otelOutputSourceRule": {
"spanName": "ExecuteActivity:save_reply",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "assistant"
}
},
"autoCloseScope": "ALL",
"autoCloseInactivityMinutes": 30,
"closedSessionInferenceCreationPolicy": "REOPEN_AND_REEVALUATE",
"tags": [
"internal",
"beta"
],
"createdAt": "2023-11-07T05:31:56Z",
"deletedAt": "2023-11-07T05:31:56Z"
}
'import requests
url = "https://api.galtea.ai/products/{id}"
payload = {
"id": "prod_123",
"organizationId": "org_123",
"userId": "user_123",
"name": "Sample Product",
"description": "Sample product description",
"riskLevel": "HIGH",
"operatorType": "PROVIDER",
"interactionMode": "CONVERSATIONAL",
"primaryTask": "QUESTION_ANSWERING_RAG",
"capabilities": "Can process and analyze data",
"inabilities": "Cannot process sensitive financial data",
"policies": "Must comply with data protection regulations",
"otelInputSourceRule": {
"spanName": "ExecuteActivity:add_user_message",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "user"
}
},
"otelOutputSourceRule": {
"spanName": "ExecuteActivity:save_reply",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "assistant"
}
},
"autoCloseScope": "ALL",
"autoCloseInactivityMinutes": 30,
"closedSessionInferenceCreationPolicy": "REOPEN_AND_REEVALUATE",
"tags": ["internal", "beta"],
"createdAt": "2023-11-07T05:31:56Z",
"deletedAt": "2023-11-07T05:31:56Z"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'PATCH',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
id: 'prod_123',
organizationId: 'org_123',
userId: 'user_123',
name: 'Sample Product',
description: 'Sample product description',
riskLevel: 'HIGH',
operatorType: 'PROVIDER',
interactionMode: 'CONVERSATIONAL',
primaryTask: 'QUESTION_ANSWERING_RAG',
capabilities: 'Can process and analyze data',
inabilities: 'Cannot process sensitive financial data',
policies: 'Must comply with data protection regulations',
otelInputSourceRule: {
spanName: 'ExecuteActivity:add_user_message',
attribute: 'app.arguments',
path: '$[0].message.content',
predicate: {path: '$[0].message.role', equals: 'user'}
},
otelOutputSourceRule: {
spanName: 'ExecuteActivity:save_reply',
attribute: 'app.arguments',
path: '$[0].message.content',
predicate: {path: '$[0].message.role', equals: 'assistant'}
},
autoCloseScope: 'ALL',
autoCloseInactivityMinutes: 30,
closedSessionInferenceCreationPolicy: 'REOPEN_AND_REEVALUATE',
tags: ['internal', 'beta'],
createdAt: '2023-11-07T05:31:56Z',
deletedAt: '2023-11-07T05:31:56Z'
})
};
fetch('https://api.galtea.ai/products/{id}', 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/products/{id}",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "PATCH",
CURLOPT_POSTFIELDS => json_encode([
'id' => 'prod_123',
'organizationId' => 'org_123',
'userId' => 'user_123',
'name' => 'Sample Product',
'description' => 'Sample product description',
'riskLevel' => 'HIGH',
'operatorType' => 'PROVIDER',
'interactionMode' => 'CONVERSATIONAL',
'primaryTask' => 'QUESTION_ANSWERING_RAG',
'capabilities' => 'Can process and analyze data',
'inabilities' => 'Cannot process sensitive financial data',
'policies' => 'Must comply with data protection regulations',
'otelInputSourceRule' => [
'spanName' => 'ExecuteActivity:add_user_message',
'attribute' => 'app.arguments',
'path' => '$[0].message.content',
'predicate' => [
'path' => '$[0].message.role',
'equals' => 'user'
]
],
'otelOutputSourceRule' => [
'spanName' => 'ExecuteActivity:save_reply',
'attribute' => 'app.arguments',
'path' => '$[0].message.content',
'predicate' => [
'path' => '$[0].message.role',
'equals' => 'assistant'
]
],
'autoCloseScope' => 'ALL',
'autoCloseInactivityMinutes' => 30,
'closedSessionInferenceCreationPolicy' => 'REOPEN_AND_REEVALUATE',
'tags' => [
'internal',
'beta'
],
'createdAt' => '2023-11-07T05:31:56Z',
'deletedAt' => '2023-11-07T05:31:56Z'
]),
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 $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.galtea.ai/products/{id}"
payload := strings.NewReader("{\n \"id\": \"prod_123\",\n \"organizationId\": \"org_123\",\n \"userId\": \"user_123\",\n \"name\": \"Sample Product\",\n \"description\": \"Sample product description\",\n \"riskLevel\": \"HIGH\",\n \"operatorType\": \"PROVIDER\",\n \"interactionMode\": \"CONVERSATIONAL\",\n \"primaryTask\": \"QUESTION_ANSWERING_RAG\",\n \"capabilities\": \"Can process and analyze data\",\n \"inabilities\": \"Cannot process sensitive financial data\",\n \"policies\": \"Must comply with data protection regulations\",\n \"otelInputSourceRule\": {\n \"spanName\": \"ExecuteActivity:add_user_message\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"user\"\n }\n },\n \"otelOutputSourceRule\": {\n \"spanName\": \"ExecuteActivity:save_reply\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"assistant\"\n }\n },\n \"autoCloseScope\": \"ALL\",\n \"autoCloseInactivityMinutes\": 30,\n \"closedSessionInferenceCreationPolicy\": \"REOPEN_AND_REEVALUATE\",\n \"tags\": [\n \"internal\",\n \"beta\"\n ],\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"deletedAt\": \"2023-11-07T05:31:56Z\"\n}")
req, _ := http.NewRequest("PATCH", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.patch("https://api.galtea.ai/products/{id}")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"id\": \"prod_123\",\n \"organizationId\": \"org_123\",\n \"userId\": \"user_123\",\n \"name\": \"Sample Product\",\n \"description\": \"Sample product description\",\n \"riskLevel\": \"HIGH\",\n \"operatorType\": \"PROVIDER\",\n \"interactionMode\": \"CONVERSATIONAL\",\n \"primaryTask\": \"QUESTION_ANSWERING_RAG\",\n \"capabilities\": \"Can process and analyze data\",\n \"inabilities\": \"Cannot process sensitive financial data\",\n \"policies\": \"Must comply with data protection regulations\",\n \"otelInputSourceRule\": {\n \"spanName\": \"ExecuteActivity:add_user_message\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"user\"\n }\n },\n \"otelOutputSourceRule\": {\n \"spanName\": \"ExecuteActivity:save_reply\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"assistant\"\n }\n },\n \"autoCloseScope\": \"ALL\",\n \"autoCloseInactivityMinutes\": 30,\n \"closedSessionInferenceCreationPolicy\": \"REOPEN_AND_REEVALUATE\",\n \"tags\": [\n \"internal\",\n \"beta\"\n ],\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"deletedAt\": \"2023-11-07T05:31:56Z\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.galtea.ai/products/{id}")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Patch.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"id\": \"prod_123\",\n \"organizationId\": \"org_123\",\n \"userId\": \"user_123\",\n \"name\": \"Sample Product\",\n \"description\": \"Sample product description\",\n \"riskLevel\": \"HIGH\",\n \"operatorType\": \"PROVIDER\",\n \"interactionMode\": \"CONVERSATIONAL\",\n \"primaryTask\": \"QUESTION_ANSWERING_RAG\",\n \"capabilities\": \"Can process and analyze data\",\n \"inabilities\": \"Cannot process sensitive financial data\",\n \"policies\": \"Must comply with data protection regulations\",\n \"otelInputSourceRule\": {\n \"spanName\": \"ExecuteActivity:add_user_message\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"user\"\n }\n },\n \"otelOutputSourceRule\": {\n \"spanName\": \"ExecuteActivity:save_reply\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"assistant\"\n }\n },\n \"autoCloseScope\": \"ALL\",\n \"autoCloseInactivityMinutes\": 30,\n \"closedSessionInferenceCreationPolicy\": \"REOPEN_AND_REEVALUATE\",\n \"tags\": [\n \"internal\",\n \"beta\"\n ],\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"deletedAt\": \"2023-11-07T05:31:56Z\"\n}"
response = http.request(request)
puts response.read_body{
"id": "prod_123",
"organizationId": "org_123",
"userId": "user_123",
"name": "Sample Product",
"description": "Sample product description",
"riskLevel": "HIGH",
"operatorType": "PROVIDER",
"interactionMode": "CONVERSATIONAL",
"primaryTask": "QUESTION_ANSWERING_RAG",
"capabilities": "Can process and analyze data",
"inabilities": "Cannot process sensitive financial data",
"policies": "Must comply with data protection regulations",
"otelInputSourceRule": {
"spanName": "ExecuteActivity:add_user_message",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "user"
}
},
"otelOutputSourceRule": {
"spanName": "ExecuteActivity:save_reply",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "assistant"
}
},
"autoCloseScope": "ALL",
"autoCloseInactivityMinutes": 30,
"closedSessionInferenceCreationPolicy": "REOPEN_AND_REEVALUATE",
"tags": [
"internal",
"beta"
],
"source": "banking",
"createdAt": "2023-11-07T05:31:56Z",
"deletedAt": "2023-11-07T05:31:56Z"
}{
"error": "Error type",
"message": "Error message description"
}{
"error": "Error type",
"message": "Error message description"
}Update product
Update an existing product. See Products.
PATCH
/
products
/
{id}
Update product
curl --request PATCH \
--url https://api.galtea.ai/products/{id} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"id": "prod_123",
"organizationId": "org_123",
"userId": "user_123",
"name": "Sample Product",
"description": "Sample product description",
"riskLevel": "HIGH",
"operatorType": "PROVIDER",
"interactionMode": "CONVERSATIONAL",
"primaryTask": "QUESTION_ANSWERING_RAG",
"capabilities": "Can process and analyze data",
"inabilities": "Cannot process sensitive financial data",
"policies": "Must comply with data protection regulations",
"otelInputSourceRule": {
"spanName": "ExecuteActivity:add_user_message",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "user"
}
},
"otelOutputSourceRule": {
"spanName": "ExecuteActivity:save_reply",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "assistant"
}
},
"autoCloseScope": "ALL",
"autoCloseInactivityMinutes": 30,
"closedSessionInferenceCreationPolicy": "REOPEN_AND_REEVALUATE",
"tags": [
"internal",
"beta"
],
"createdAt": "2023-11-07T05:31:56Z",
"deletedAt": "2023-11-07T05:31:56Z"
}
'import requests
url = "https://api.galtea.ai/products/{id}"
payload = {
"id": "prod_123",
"organizationId": "org_123",
"userId": "user_123",
"name": "Sample Product",
"description": "Sample product description",
"riskLevel": "HIGH",
"operatorType": "PROVIDER",
"interactionMode": "CONVERSATIONAL",
"primaryTask": "QUESTION_ANSWERING_RAG",
"capabilities": "Can process and analyze data",
"inabilities": "Cannot process sensitive financial data",
"policies": "Must comply with data protection regulations",
"otelInputSourceRule": {
"spanName": "ExecuteActivity:add_user_message",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "user"
}
},
"otelOutputSourceRule": {
"spanName": "ExecuteActivity:save_reply",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "assistant"
}
},
"autoCloseScope": "ALL",
"autoCloseInactivityMinutes": 30,
"closedSessionInferenceCreationPolicy": "REOPEN_AND_REEVALUATE",
"tags": ["internal", "beta"],
"createdAt": "2023-11-07T05:31:56Z",
"deletedAt": "2023-11-07T05:31:56Z"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'PATCH',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
id: 'prod_123',
organizationId: 'org_123',
userId: 'user_123',
name: 'Sample Product',
description: 'Sample product description',
riskLevel: 'HIGH',
operatorType: 'PROVIDER',
interactionMode: 'CONVERSATIONAL',
primaryTask: 'QUESTION_ANSWERING_RAG',
capabilities: 'Can process and analyze data',
inabilities: 'Cannot process sensitive financial data',
policies: 'Must comply with data protection regulations',
otelInputSourceRule: {
spanName: 'ExecuteActivity:add_user_message',
attribute: 'app.arguments',
path: '$[0].message.content',
predicate: {path: '$[0].message.role', equals: 'user'}
},
otelOutputSourceRule: {
spanName: 'ExecuteActivity:save_reply',
attribute: 'app.arguments',
path: '$[0].message.content',
predicate: {path: '$[0].message.role', equals: 'assistant'}
},
autoCloseScope: 'ALL',
autoCloseInactivityMinutes: 30,
closedSessionInferenceCreationPolicy: 'REOPEN_AND_REEVALUATE',
tags: ['internal', 'beta'],
createdAt: '2023-11-07T05:31:56Z',
deletedAt: '2023-11-07T05:31:56Z'
})
};
fetch('https://api.galtea.ai/products/{id}', 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/products/{id}",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "PATCH",
CURLOPT_POSTFIELDS => json_encode([
'id' => 'prod_123',
'organizationId' => 'org_123',
'userId' => 'user_123',
'name' => 'Sample Product',
'description' => 'Sample product description',
'riskLevel' => 'HIGH',
'operatorType' => 'PROVIDER',
'interactionMode' => 'CONVERSATIONAL',
'primaryTask' => 'QUESTION_ANSWERING_RAG',
'capabilities' => 'Can process and analyze data',
'inabilities' => 'Cannot process sensitive financial data',
'policies' => 'Must comply with data protection regulations',
'otelInputSourceRule' => [
'spanName' => 'ExecuteActivity:add_user_message',
'attribute' => 'app.arguments',
'path' => '$[0].message.content',
'predicate' => [
'path' => '$[0].message.role',
'equals' => 'user'
]
],
'otelOutputSourceRule' => [
'spanName' => 'ExecuteActivity:save_reply',
'attribute' => 'app.arguments',
'path' => '$[0].message.content',
'predicate' => [
'path' => '$[0].message.role',
'equals' => 'assistant'
]
],
'autoCloseScope' => 'ALL',
'autoCloseInactivityMinutes' => 30,
'closedSessionInferenceCreationPolicy' => 'REOPEN_AND_REEVALUATE',
'tags' => [
'internal',
'beta'
],
'createdAt' => '2023-11-07T05:31:56Z',
'deletedAt' => '2023-11-07T05:31:56Z'
]),
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 $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.galtea.ai/products/{id}"
payload := strings.NewReader("{\n \"id\": \"prod_123\",\n \"organizationId\": \"org_123\",\n \"userId\": \"user_123\",\n \"name\": \"Sample Product\",\n \"description\": \"Sample product description\",\n \"riskLevel\": \"HIGH\",\n \"operatorType\": \"PROVIDER\",\n \"interactionMode\": \"CONVERSATIONAL\",\n \"primaryTask\": \"QUESTION_ANSWERING_RAG\",\n \"capabilities\": \"Can process and analyze data\",\n \"inabilities\": \"Cannot process sensitive financial data\",\n \"policies\": \"Must comply with data protection regulations\",\n \"otelInputSourceRule\": {\n \"spanName\": \"ExecuteActivity:add_user_message\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"user\"\n }\n },\n \"otelOutputSourceRule\": {\n \"spanName\": \"ExecuteActivity:save_reply\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"assistant\"\n }\n },\n \"autoCloseScope\": \"ALL\",\n \"autoCloseInactivityMinutes\": 30,\n \"closedSessionInferenceCreationPolicy\": \"REOPEN_AND_REEVALUATE\",\n \"tags\": [\n \"internal\",\n \"beta\"\n ],\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"deletedAt\": \"2023-11-07T05:31:56Z\"\n}")
req, _ := http.NewRequest("PATCH", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.patch("https://api.galtea.ai/products/{id}")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"id\": \"prod_123\",\n \"organizationId\": \"org_123\",\n \"userId\": \"user_123\",\n \"name\": \"Sample Product\",\n \"description\": \"Sample product description\",\n \"riskLevel\": \"HIGH\",\n \"operatorType\": \"PROVIDER\",\n \"interactionMode\": \"CONVERSATIONAL\",\n \"primaryTask\": \"QUESTION_ANSWERING_RAG\",\n \"capabilities\": \"Can process and analyze data\",\n \"inabilities\": \"Cannot process sensitive financial data\",\n \"policies\": \"Must comply with data protection regulations\",\n \"otelInputSourceRule\": {\n \"spanName\": \"ExecuteActivity:add_user_message\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"user\"\n }\n },\n \"otelOutputSourceRule\": {\n \"spanName\": \"ExecuteActivity:save_reply\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"assistant\"\n }\n },\n \"autoCloseScope\": \"ALL\",\n \"autoCloseInactivityMinutes\": 30,\n \"closedSessionInferenceCreationPolicy\": \"REOPEN_AND_REEVALUATE\",\n \"tags\": [\n \"internal\",\n \"beta\"\n ],\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"deletedAt\": \"2023-11-07T05:31:56Z\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.galtea.ai/products/{id}")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Patch.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"id\": \"prod_123\",\n \"organizationId\": \"org_123\",\n \"userId\": \"user_123\",\n \"name\": \"Sample Product\",\n \"description\": \"Sample product description\",\n \"riskLevel\": \"HIGH\",\n \"operatorType\": \"PROVIDER\",\n \"interactionMode\": \"CONVERSATIONAL\",\n \"primaryTask\": \"QUESTION_ANSWERING_RAG\",\n \"capabilities\": \"Can process and analyze data\",\n \"inabilities\": \"Cannot process sensitive financial data\",\n \"policies\": \"Must comply with data protection regulations\",\n \"otelInputSourceRule\": {\n \"spanName\": \"ExecuteActivity:add_user_message\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"user\"\n }\n },\n \"otelOutputSourceRule\": {\n \"spanName\": \"ExecuteActivity:save_reply\",\n \"attribute\": \"app.arguments\",\n \"path\": \"$[0].message.content\",\n \"predicate\": {\n \"path\": \"$[0].message.role\",\n \"equals\": \"assistant\"\n }\n },\n \"autoCloseScope\": \"ALL\",\n \"autoCloseInactivityMinutes\": 30,\n \"closedSessionInferenceCreationPolicy\": \"REOPEN_AND_REEVALUATE\",\n \"tags\": [\n \"internal\",\n \"beta\"\n ],\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"deletedAt\": \"2023-11-07T05:31:56Z\"\n}"
response = http.request(request)
puts response.read_body{
"id": "prod_123",
"organizationId": "org_123",
"userId": "user_123",
"name": "Sample Product",
"description": "Sample product description",
"riskLevel": "HIGH",
"operatorType": "PROVIDER",
"interactionMode": "CONVERSATIONAL",
"primaryTask": "QUESTION_ANSWERING_RAG",
"capabilities": "Can process and analyze data",
"inabilities": "Cannot process sensitive financial data",
"policies": "Must comply with data protection regulations",
"otelInputSourceRule": {
"spanName": "ExecuteActivity:add_user_message",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "user"
}
},
"otelOutputSourceRule": {
"spanName": "ExecuteActivity:save_reply",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "assistant"
}
},
"autoCloseScope": "ALL",
"autoCloseInactivityMinutes": 30,
"closedSessionInferenceCreationPolicy": "REOPEN_AND_REEVALUATE",
"tags": [
"internal",
"beta"
],
"source": "banking",
"createdAt": "2023-11-07T05:31:56Z",
"deletedAt": "2023-11-07T05:31:56Z"
}{
"error": "Error type",
"message": "Error message description"
}{
"error": "Error type",
"message": "Error message description"
}Authorizations
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-....
Path Parameters
Product ID
Body
application/json
Updated product data
Example:
"prod_123"
Example:
"org_123"
Example:
"user_123"
Example:
"Sample Product"
Example:
"Sample product description"
EU AI Act risk classification. PROHIBITED: banned AI use cases. GPAI: general-purpose AI. GPAI_SYSTEMIC: GPAI with systemic risk. HIGH: high-risk AI system. SPECIAL_SYSTEM: special-category system.
Available options:
PROHIBITED, GPAI, GPAI_SYSTEMIC, HIGH, SPECIAL_SYSTEM Example:
"HIGH"
EU AI Act operator role classification.
Available options:
AUTHORISED_REPRESENTATIVE, DEPLOYER, DISTRIBUTER, IMPORTER, PRODUCT_MANUFACTURER, PROVIDER Example:
"PROVIDER"
Who consumes the product's output. CONVERSATIONAL: a person exchanges several turns with it. HUMAN_DIRECT: a person reads the output directly, with no dialogue. PROGRAMMATIC: another system consumes it and no person reads it directly. The onboarding AI suggests a value; the owner can change or clear it. Null means unclassified.
Available options:
CONVERSATIONAL, HUMAN_DIRECT, PROGRAMMATIC Example:
"CONVERSATIONAL"
The one dominant task the product performs on its input. The onboarding AI suggests a value; the owner can change or clear it. Null means unclassified.
Available options:
CONVERSATIONAL_ASSISTANCE, QUESTION_ANSWERING_RAG, DOCUMENT_EXTRACTION, DOCUMENT_GENERATION, SUMMARIZATION, CLASSIFICATION, TRANSLATION, CORRECTION, AGENTIC_WORKFLOW, OTHER Example:
"QUESTION_ANSWERING_RAG"
Example:
"Can process and analyze data"
Example:
"Cannot process sensitive financial data"
Example:
"Must comply with data protection regulations"
Recover a turn's user-visible input for products whose user message lives on a non-LLM span. Set per product or version (version wins). Per span it applies only when no LLM input is present. Per turn the value it extracts IS the turn input, ahead of every fallback, and the turn input is EMPTY when the rule extracts nothing from any span of the turn. The two directions resolve independently.
Show child attributes
Show child attributes
Example:
{
"spanName": "ExecuteActivity:add_user_message",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "user"
}
}
Recover a turn's user-visible output for templated or non-LLM replies whose final answer lives on a non-LLM span. Set per product or version (version wins). Per span it applies only when no LLM output is present. Per turn the value it extracts IS the turn output, ahead of every fallback, and the turn output is EMPTY when the rule extracts nothing from any span of the turn. The two directions resolve independently.
Show child attributes
Show child attributes
Example:
{
"spanName": "ExecuteActivity:save_reply",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "assistant"
}
}
Which sessions the product-level auto-close sweep considers. ALL (default) closes both production and development sessions; PRODUCTION only production sessions; DEVELOPMENT only development (test) sessions; NONE disables auto-close.
Available options:
NONE, DEVELOPMENT, PRODUCTION, ALL Example:
"ALL"
Minutes of inactivity after which an eligible session is auto-closed.
Required range:
x >= 1Example:
30
What happens when a new trace is created for an already-closed session. REOPEN_AND_REEVALUATE (the default) stores the trace, returns the session to PENDING and marks its existing monitor evaluations OUTDATED so a monitor scores the session again once it closes for good. A development session reopens the same way, without monitor evaluations to outdate. IGNORE drops the trace silently. REJECT returns an error.
Available options:
REJECT, IGNORE, REOPEN_AND_REEVALUATE Example:
"REOPEN_AND_REEVALUATE"
Free-form labels for organizing products. Normalized to lowercase and trimmed on save.
Example:
["internal", "beta"]
Response
Product updated successfully
Example:
"prod_123"
Example:
"org_123"
Example:
"user_123"
Example:
"Sample Product"
Example:
"Sample product description"
EU AI Act risk classification. PROHIBITED: banned AI use cases. GPAI: general-purpose AI. GPAI_SYSTEMIC: GPAI with systemic risk. HIGH: high-risk AI system. SPECIAL_SYSTEM: special-category system.
Available options:
PROHIBITED, GPAI, GPAI_SYSTEMIC, HIGH, SPECIAL_SYSTEM Example:
"HIGH"
EU AI Act operator role classification.
Available options:
AUTHORISED_REPRESENTATIVE, DEPLOYER, DISTRIBUTER, IMPORTER, PRODUCT_MANUFACTURER, PROVIDER Example:
"PROVIDER"
Who consumes the product's output. CONVERSATIONAL: a person exchanges several turns with it. HUMAN_DIRECT: a person reads the output directly, with no dialogue. PROGRAMMATIC: another system consumes it and no person reads it directly. The onboarding AI suggests a value; the owner can change or clear it. Null means unclassified.
Available options:
CONVERSATIONAL, HUMAN_DIRECT, PROGRAMMATIC Example:
"CONVERSATIONAL"
The one dominant task the product performs on its input. The onboarding AI suggests a value; the owner can change or clear it. Null means unclassified.
Available options:
CONVERSATIONAL_ASSISTANCE, QUESTION_ANSWERING_RAG, DOCUMENT_EXTRACTION, DOCUMENT_GENERATION, SUMMARIZATION, CLASSIFICATION, TRANSLATION, CORRECTION, AGENTIC_WORKFLOW, OTHER Example:
"QUESTION_ANSWERING_RAG"
Example:
"Can process and analyze data"
Example:
"Cannot process sensitive financial data"
Example:
"Must comply with data protection regulations"
Recover a turn's user-visible input for products whose user message lives on a non-LLM span. Set per product or version (version wins). Per span it applies only when no LLM input is present. Per turn the value it extracts IS the turn input, ahead of every fallback, and the turn input is EMPTY when the rule extracts nothing from any span of the turn. The two directions resolve independently.
Show child attributes
Show child attributes
Example:
{
"spanName": "ExecuteActivity:add_user_message",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "user"
}
}
Recover a turn's user-visible output for templated or non-LLM replies whose final answer lives on a non-LLM span. Set per product or version (version wins). Per span it applies only when no LLM output is present. Per turn the value it extracts IS the turn output, ahead of every fallback, and the turn output is EMPTY when the rule extracts nothing from any span of the turn. The two directions resolve independently.
Show child attributes
Show child attributes
Example:
{
"spanName": "ExecuteActivity:save_reply",
"attribute": "app.arguments",
"path": "$[0].message.content",
"predicate": {
"path": "$[0].message.role",
"equals": "assistant"
}
}
Which sessions the product-level auto-close sweep considers. ALL (default) closes both production and development sessions; PRODUCTION only production sessions; DEVELOPMENT only development (test) sessions; NONE disables auto-close.
Available options:
NONE, DEVELOPMENT, PRODUCTION, ALL Example:
"ALL"
Minutes of inactivity after which an eligible session is auto-closed.
Required range:
x >= 1Example:
30
What happens when a new trace is created for an already-closed session. REOPEN_AND_REEVALUATE (the default) stores the trace, returns the session to PENDING and marks its existing monitor evaluations OUTDATED so a monitor scores the session again once it closes for good. A development session reopens the same way, without monitor evaluations to outdate. IGNORE drops the trace silently. REJECT returns an error.
Available options:
REJECT, IGNORE, REOPEN_AND_REEVALUATE Example:
"REOPEN_AND_REEVALUATE"
Free-form labels for organizing products. Normalized to lowercase and trimmed on save.
Example:
["internal", "beta"]
Demo key the product was cloned from (e.g. "banking"); null for user-created products. Server-stamped on demo-clone; not client-writable.
Example:
"banking"