Messages
curl --request POST \
--url https://api.example.com/messages \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"max_tokens": 123,
"messages": [
{}
],
"system": "<string>",
"temperature": 123,
"stream": true
}
'import requests
url = "https://api.example.com/messages"
payload = {
"model": "<string>",
"max_tokens": 123,
"messages": [{}],
"system": "<string>",
"temperature": 123,
"stream": True
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
max_tokens: 123,
messages: [{}],
system: '<string>',
temperature: 123,
stream: true
})
};
fetch('https://api.example.com/messages', 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.example.com/messages",
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([
'model' => '<string>',
'max_tokens' => 123,
'messages' => [
[
]
],
'system' => '<string>',
'temperature' => 123,
'stream' => true
]),
CURLOPT_HTTPHEADER => [
"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.example.com/messages"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"max_tokens\": 123,\n \"messages\": [\n {}\n ],\n \"system\": \"<string>\",\n \"temperature\": 123,\n \"stream\": true\n}")
req, _ := http.NewRequest("POST", url, payload)
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.example.com/messages")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"max_tokens\": 123,\n \"messages\": [\n {}\n ],\n \"system\": \"<string>\",\n \"temperature\": 123,\n \"stream\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/messages")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"max_tokens\": 123,\n \"messages\": [\n {}\n ],\n \"system\": \"<string>\",\n \"temperature\": 123,\n \"stream\": true\n}"
response = http.request(request)
puts response.read_bodyAPI Reference
Messages
Create a model response using the Anthropic Messages API format through the attested Confidential AI gateway.
POST
/
messages
Messages
curl --request POST \
--url https://api.example.com/messages \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"max_tokens": 123,
"messages": [
{}
],
"system": "<string>",
"temperature": 123,
"stream": true
}
'import requests
url = "https://api.example.com/messages"
payload = {
"model": "<string>",
"max_tokens": 123,
"messages": [{}],
"system": "<string>",
"temperature": 123,
"stream": True
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
max_tokens: 123,
messages: [{}],
system: '<string>',
temperature: 123,
stream: true
})
};
fetch('https://api.example.com/messages', 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.example.com/messages",
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([
'model' => '<string>',
'max_tokens' => 123,
'messages' => [
[
]
],
'system' => '<string>',
'temperature' => 123,
'stream' => true
]),
CURLOPT_HTTPHEADER => [
"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.example.com/messages"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"max_tokens\": 123,\n \"messages\": [\n {}\n ],\n \"system\": \"<string>\",\n \"temperature\": 123,\n \"stream\": true\n}")
req, _ := http.NewRequest("POST", url, payload)
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.example.com/messages")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"max_tokens\": 123,\n \"messages\": [\n {}\n ],\n \"system\": \"<string>\",\n \"temperature\": 123,\n \"stream\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/messages")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"max_tokens\": 123,\n \"messages\": [\n {}\n ],\n \"system\": \"<string>\",\n \"temperature\": 123,\n \"stream\": true\n}"
response = http.request(request)
puts response.read_bodyCreates a model response using the Anthropic Messages request and response format. Requests are served through the attested gateway and return an
Read assistant text from
x-receipt-id header for verification.
Endpoint
POST https://inference.phala.com/v1/messages
Request Body
Model id returned by List Models.
Maximum number of tokens to generate.
Conversation turns. Each item has a
role (user or assistant) and content.System prompt, sent as a top-level field.
Sampling temperature.
Stream the response as server-sent events.
Example
curl https://inference.phala.com/v1/messages \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-sonnet-4.5",
"max_tokens": 100,
"messages": [
{"role": "user", "content": "Say hello in three words."}
]
}'
Response
{
"id": "msg_01ABC...",
"type": "message",
"role": "assistant",
"model": "anthropic/claude-sonnet-4.5",
"content": [
{ "type": "text", "text": "Hello, howdy, hi!" }
],
"stop_reason": "end_turn",
"stop_sequence": null,
"usage": { "input_tokens": 14, "output_tokens": 8 }
}
content[].text on blocks with type: "text". stop_reason is usually end_turn, max_tokens, stop_sequence, or tool_use.
Verification
Use the responsex-receipt-id header with Get Receipt. A confidential response has upstream.verified.result = verified and required = true.
Related
Responses
Trust Boundary
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