Phala Cloud Documentation — Confidential AI on TEE

Responses

curl --request POST \
  --url https://api.example.com/responses \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "input": {},
  "tools": [
    {}
  ],
  "temperature": 123,
  "top_p": 123
}
'

import requests

url = "https://api.example.com/responses"

payload = {
    "model": "<string>",
    "input": {},
    "tools": [{}],
    "temperature": 123,
    "top_p": 123
}
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>', input: {}, tools: [{}], temperature: 123, top_p: 123})
};

fetch('https://api.example.com/responses', 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/responses",
  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>',
    'input' => [
        
    ],
    'tools' => [
        [
                
        ]
    ],
    'temperature' => 123,
    'top_p' => 123
  ]),
  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/responses"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"input\": {},\n  \"tools\": [\n    {}\n  ],\n  \"temperature\": 123,\n  \"top_p\": 123\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/responses")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"input\": {},\n  \"tools\": [\n    {}\n  ],\n  \"temperature\": 123,\n  \"top_p\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/responses")

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  \"input\": {},\n  \"tools\": [\n    {}\n  ],\n  \"temperature\": 123,\n  \"top_p\": 123\n}"

response = http.request(request)
puts response.read_body

POST

responses

Responses

curl --request POST \
  --url https://api.example.com/responses \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "input": {},
  "tools": [
    {}
  ],
  "temperature": 123,
  "top_p": 123
}
'

import requests

url = "https://api.example.com/responses"

payload = {
    "model": "<string>",
    "input": {},
    "tools": [{}],
    "temperature": 123,
    "top_p": 123
}
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>', input: {}, tools: [{}], temperature: 123, top_p: 123})
};

fetch('https://api.example.com/responses', 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/responses",
  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>',
    'input' => [
        
    ],
    'tools' => [
        [
                
        ]
    ],
    'temperature' => 123,
    'top_p' => 123
  ]),
  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/responses"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"input\": {},\n  \"tools\": [\n    {}\n  ],\n  \"temperature\": 123,\n  \"top_p\": 123\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/responses")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"input\": {},\n  \"tools\": [\n    {}\n  ],\n  \"temperature\": 123,\n  \"top_p\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/responses")

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  \"input\": {},\n  \"tools\": [\n    {}\n  ],\n  \"temperature\": 123,\n  \"top_p\": 123\n}"

response = http.request(request)
puts response.read_body

Creates a model response using the Responses API request and response format. Like other inference endpoints, requests are served through the attested gateway and return an x-receipt-id header for verification.

Endpoint

POST https://inference.phala.com/v1/responses

Request Body

model

string

required

Model id, for example phala/qwen3.5-27b or another id returned by List Models.

input

string | array

required

Input prompt. This can be a string or an array of input items.

tools

array

Tool definitions the model may call.

temperature

number

Sampling temperature.

top_p

number

Nucleus sampling.

Example

curl https://inference.phala.com/v1/responses \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "phala/qwen3.5-27b",
    "input": "Explain attestation in one sentence."
  }'

Response

{
  "id": "resp_023cda4f5e268c44006a30f3e0b6f4819b87536574ae6ecd14",
  "object": "response",
  "status": "completed",
  "model": "phala/qwen3.5-27b",
  "output": [
    {
      "type": "message",
      "role": "assistant",
      "content": [
        { "type": "output_text", "text": "Attestation proves which trusted workload served a request.", "annotations": [] }
      ]
    }
  ],
  "usage": {
    "input_tokens": 12,
    "output_tokens": 10,
    "total_tokens": 22
  }
}

Read assistant text from output[].content[].text on message items. Reasoning models may also return reasoning items.

Verification

Capture x-receipt-id from the HTTP response and verify it with Get Receipt. The receipt proves the response bytes and records whether the upstream provider was verified.

Chat Completions

Verify a Response

Chat Completions Messages

​Endpoint

​Request Body

​Example

​Response

​Verification

​Related