Create Template
curl --request POST \
--url https://api.meshapi.ai/v1/templates \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"name": "support-reply",
"description": "Short customer support replies with a friendly tone.",
"system": "You are a concise customer support assistant.",
"messages": [
{
"role": "user",
"content": "Reply to: {{ticket}}"
}
],
"model": "openai/gpt-4o-mini",
"params": {
"temperature": 0.3,
"max_tokens": 300
},
"variables": [
"ticket"
]
}
'import requests
url = "https://api.meshapi.ai/v1/templates"
payload = {
"name": "support-reply",
"description": "Short customer support replies with a friendly tone.",
"system": "You are a concise customer support assistant.",
"messages": [
{
"role": "user",
"content": "Reply to: {{ticket}}"
}
],
"model": "openai/gpt-4o-mini",
"params": {
"temperature": 0.3,
"max_tokens": 300
},
"variables": ["ticket"]
}
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({
name: 'support-reply',
description: 'Short customer support replies with a friendly tone.',
system: 'You are a concise customer support assistant.',
messages: [{role: 'user', content: 'Reply to: {{ticket}}'}],
model: 'openai/gpt-4o-mini',
params: {temperature: 0.3, max_tokens: 300},
variables: ['ticket']
})
};
fetch('https://api.meshapi.ai/v1/templates', 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.meshapi.ai/v1/templates",
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' => 'support-reply',
'description' => 'Short customer support replies with a friendly tone.',
'system' => 'You are a concise customer support assistant.',
'messages' => [
[
'role' => 'user',
'content' => 'Reply to: {{ticket}}'
]
],
'model' => 'openai/gpt-4o-mini',
'params' => [
'temperature' => 0.3,
'max_tokens' => 300
],
'variables' => [
'ticket'
]
]),
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.meshapi.ai/v1/templates"
payload := strings.NewReader("{\n \"name\": \"support-reply\",\n \"description\": \"Short customer support replies with a friendly tone.\",\n \"system\": \"You are a concise customer support assistant.\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Reply to: {{ticket}}\"\n }\n ],\n \"model\": \"openai/gpt-4o-mini\",\n \"params\": {\n \"temperature\": 0.3,\n \"max_tokens\": 300\n },\n \"variables\": [\n \"ticket\"\n ]\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.meshapi.ai/v1/templates")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"support-reply\",\n \"description\": \"Short customer support replies with a friendly tone.\",\n \"system\": \"You are a concise customer support assistant.\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Reply to: {{ticket}}\"\n }\n ],\n \"model\": \"openai/gpt-4o-mini\",\n \"params\": {\n \"temperature\": 0.3,\n \"max_tokens\": 300\n },\n \"variables\": [\n \"ticket\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.meshapi.ai/v1/templates")
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 \"name\": \"support-reply\",\n \"description\": \"Short customer support replies with a friendly tone.\",\n \"system\": \"You are a concise customer support assistant.\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Reply to: {{ticket}}\"\n }\n ],\n \"model\": \"openai/gpt-4o-mini\",\n \"params\": {\n \"temperature\": 0.3,\n \"max_tokens\": 300\n },\n \"variables\": [\n \"ticket\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "tmpl_01JZ0R6N9F8K7B6V3Q4A2Y1X0P",
"name": "support-reply",
"owner": "user_01JZ0Q9WZ7ZK3M9YF6R8D2C4B1",
"org_id": "org_01JZ0QAW6MS7M6WTJ7HE4VK3DF",
"team_id": null,
"is_global": false,
"description": "Short customer support replies with a friendly tone.",
"system": "You are a concise customer support assistant.",
"messages": [
{
"role": "user",
"content": "Reply to: {{ticket}}"
}
],
"model": "openai/gpt-4o-mini",
"params": {
"temperature": 0.3,
"max_tokens": 300
},
"variables": [
"ticket"
],
"creator_name": "Asha Rao",
"creator_email": "asha@example.com",
"created_at": "2026-07-02T10:15:30Z",
"updated_at": "2026-07-02T10:15:30Z"
}{
"error": {
"code": "unauthorized",
"message": "Invalid or missing API key."
},
"request_id": "req_01ARZ3NDEKTSV4RRFFQ69G5FAV"
}{
"detail": "A template named 'my-prompt' already exists for owner 'user_abc123'."
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}{
"detail": "Internal Server Error"
}Templates
Create Template
Create a template scoped to the authenticated user’s owner.
POST
/
v1
/
templates
Create Template
curl --request POST \
--url https://api.meshapi.ai/v1/templates \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"name": "support-reply",
"description": "Short customer support replies with a friendly tone.",
"system": "You are a concise customer support assistant.",
"messages": [
{
"role": "user",
"content": "Reply to: {{ticket}}"
}
],
"model": "openai/gpt-4o-mini",
"params": {
"temperature": 0.3,
"max_tokens": 300
},
"variables": [
"ticket"
]
}
'import requests
url = "https://api.meshapi.ai/v1/templates"
payload = {
"name": "support-reply",
"description": "Short customer support replies with a friendly tone.",
"system": "You are a concise customer support assistant.",
"messages": [
{
"role": "user",
"content": "Reply to: {{ticket}}"
}
],
"model": "openai/gpt-4o-mini",
"params": {
"temperature": 0.3,
"max_tokens": 300
},
"variables": ["ticket"]
}
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({
name: 'support-reply',
description: 'Short customer support replies with a friendly tone.',
system: 'You are a concise customer support assistant.',
messages: [{role: 'user', content: 'Reply to: {{ticket}}'}],
model: 'openai/gpt-4o-mini',
params: {temperature: 0.3, max_tokens: 300},
variables: ['ticket']
})
};
fetch('https://api.meshapi.ai/v1/templates', 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.meshapi.ai/v1/templates",
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' => 'support-reply',
'description' => 'Short customer support replies with a friendly tone.',
'system' => 'You are a concise customer support assistant.',
'messages' => [
[
'role' => 'user',
'content' => 'Reply to: {{ticket}}'
]
],
'model' => 'openai/gpt-4o-mini',
'params' => [
'temperature' => 0.3,
'max_tokens' => 300
],
'variables' => [
'ticket'
]
]),
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.meshapi.ai/v1/templates"
payload := strings.NewReader("{\n \"name\": \"support-reply\",\n \"description\": \"Short customer support replies with a friendly tone.\",\n \"system\": \"You are a concise customer support assistant.\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Reply to: {{ticket}}\"\n }\n ],\n \"model\": \"openai/gpt-4o-mini\",\n \"params\": {\n \"temperature\": 0.3,\n \"max_tokens\": 300\n },\n \"variables\": [\n \"ticket\"\n ]\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.meshapi.ai/v1/templates")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"support-reply\",\n \"description\": \"Short customer support replies with a friendly tone.\",\n \"system\": \"You are a concise customer support assistant.\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Reply to: {{ticket}}\"\n }\n ],\n \"model\": \"openai/gpt-4o-mini\",\n \"params\": {\n \"temperature\": 0.3,\n \"max_tokens\": 300\n },\n \"variables\": [\n \"ticket\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.meshapi.ai/v1/templates")
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 \"name\": \"support-reply\",\n \"description\": \"Short customer support replies with a friendly tone.\",\n \"system\": \"You are a concise customer support assistant.\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Reply to: {{ticket}}\"\n }\n ],\n \"model\": \"openai/gpt-4o-mini\",\n \"params\": {\n \"temperature\": 0.3,\n \"max_tokens\": 300\n },\n \"variables\": [\n \"ticket\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "tmpl_01JZ0R6N9F8K7B6V3Q4A2Y1X0P",
"name": "support-reply",
"owner": "user_01JZ0Q9WZ7ZK3M9YF6R8D2C4B1",
"org_id": "org_01JZ0QAW6MS7M6WTJ7HE4VK3DF",
"team_id": null,
"is_global": false,
"description": "Short customer support replies with a friendly tone.",
"system": "You are a concise customer support assistant.",
"messages": [
{
"role": "user",
"content": "Reply to: {{ticket}}"
}
],
"model": "openai/gpt-4o-mini",
"params": {
"temperature": 0.3,
"max_tokens": 300
},
"variables": [
"ticket"
],
"creator_name": "Asha Rao",
"creator_email": "asha@example.com",
"created_at": "2026-07-02T10:15:30Z",
"updated_at": "2026-07-02T10:15:30Z"
}{
"error": {
"code": "unauthorized",
"message": "Invalid or missing API key."
},
"request_id": "req_01ARZ3NDEKTSV4RRFFQ69G5FAV"
}{
"detail": "A template named 'my-prompt' already exists for owner 'user_abc123'."
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}{
"detail": "Internal Server Error"
}Authorizations
Enter your MeshAPI key (rsk_...) — sent as Authorization: Bearer <key>.
Headers
Dated version of the API contract to pin this request to. Omit it and the request is served under 2026-08 — the oldest supported version, so an existing integration is never moved by a release. A malformed or unsupported value is rejected with 400 invalid_api_version rather than falling back silently. The version actually served is echoed as X-Mesh-Version on every response, including errors.
Available options:
2026-08 Body
application/json
Response
Successful Response
⌘I