curl --request POST \
--url https://direct.evolink.ai/v1/responses \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "gpt-6-astra",
"input": "Explain quantum entanglement in one sentence."
}
'import requests
url = "https://direct.evolink.ai/v1/responses"
payload = {
"model": "gpt-6-astra",
"input": "Explain quantum entanglement in one sentence."
}
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({model: 'gpt-6-astra', input: 'Explain quantum entanglement in one sentence.'})
};
fetch('https://direct.evolink.ai/v1/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://direct.evolink.ai/v1/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' => 'gpt-6-astra',
'input' => 'Explain quantum entanglement in one sentence.'
]),
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://direct.evolink.ai/v1/responses"
payload := strings.NewReader("{\n \"model\": \"gpt-6-astra\",\n \"input\": \"Explain quantum entanglement in one sentence.\"\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://direct.evolink.ai/v1/responses")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"gpt-6-astra\",\n \"input\": \"Explain quantum entanglement in one sentence.\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://direct.evolink.ai/v1/responses")
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 \"model\": \"gpt-6-astra\",\n \"input\": \"Explain quantum entanglement in one sentence.\"\n}"
response = http.request(request)
puts response.read_body{
"id": "resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5",
"object": "response",
"status": "completed",
"model": "gpt-6-astra",
"created_at": 1786705221,
"output": [
{
"id": "<string>",
"type": "message",
"status": "completed",
"content": [
{}
]
}
],
"usage": {
"input_tokens": 18,
"output_tokens": 42,
"total_tokens": 60,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens_details": {
"reasoning_tokens": 16
}
}
}{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": 401,
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": 402,
"message": "Insufficient quota",
"type": "insufficient_quota_error",
"fallback_suggestion": "https://evolink.ai/dashboard/billing"
}
}{
"error": {
"code": 429,
"message": "Rate limit exceeded",
"type": "rate_limit_error",
"fallback_suggestion": "retry after 60 seconds"
}
}{
"error": {
"code": 500,
"message": "Internal server error",
"type": "internal_server_error",
"fallback_suggestion": "try again later"
}
}{
"error": {
"code": 503,
"message": "Service temporarily unavailable",
"type": "service_unavailable_error",
"fallback_suggestion": "retry after 30 seconds"
}
}Interfaz de todos los modelos GPT - Inicio rápido de Responses
- Invoca los modelos de texto de la serie GPT con el formato OpenAI Responses (el modelo concreto se elige mediante el parámetro
model) - Modelos de razonamiento y llamada a herramientas, admiten entrada mixta de texto e imagen
- Esta API admite herramientas del lado del servidor: búsqueda web, ejecución de código y búsqueda documental
- Las conversaciones de varios turnos pueden encadenarse con
previous_response_id, sin volver a enviar el historial - ¿Necesitas herramientas y todos los parámetros? Consulta la documentación de parámetros completa
curl --request POST \
--url https://direct.evolink.ai/v1/responses \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "gpt-6-astra",
"input": "Explain quantum entanglement in one sentence."
}
'import requests
url = "https://direct.evolink.ai/v1/responses"
payload = {
"model": "gpt-6-astra",
"input": "Explain quantum entanglement in one sentence."
}
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({model: 'gpt-6-astra', input: 'Explain quantum entanglement in one sentence.'})
};
fetch('https://direct.evolink.ai/v1/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://direct.evolink.ai/v1/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' => 'gpt-6-astra',
'input' => 'Explain quantum entanglement in one sentence.'
]),
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://direct.evolink.ai/v1/responses"
payload := strings.NewReader("{\n \"model\": \"gpt-6-astra\",\n \"input\": \"Explain quantum entanglement in one sentence.\"\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://direct.evolink.ai/v1/responses")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"gpt-6-astra\",\n \"input\": \"Explain quantum entanglement in one sentence.\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://direct.evolink.ai/v1/responses")
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 \"model\": \"gpt-6-astra\",\n \"input\": \"Explain quantum entanglement in one sentence.\"\n}"
response = http.request(request)
puts response.read_body{
"id": "resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5",
"object": "response",
"status": "completed",
"model": "gpt-6-astra",
"created_at": 1786705221,
"output": [
{
"id": "<string>",
"type": "message",
"status": "completed",
"content": [
{}
]
}
],
"usage": {
"input_tokens": 18,
"output_tokens": 42,
"total_tokens": 60,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens_details": {
"reasoning_tokens": 16
}
}
}{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": 401,
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": 402,
"message": "Insufficient quota",
"type": "insufficient_quota_error",
"fallback_suggestion": "https://evolink.ai/dashboard/billing"
}
}{
"error": {
"code": 429,
"message": "Rate limit exceeded",
"type": "rate_limit_error",
"fallback_suggestion": "retry after 60 seconds"
}
}{
"error": {
"code": 500,
"message": "Internal server error",
"type": "internal_server_error",
"fallback_suggestion": "try again later"
}
}{
"error": {
"code": 503,
"message": "Service temporarily unavailable",
"type": "service_unavailable_error",
"fallback_suggestion": "retry after 30 seconds"
}
}https://direct.evolink.ai, que ofrece mejor compatibilidad con modelos de texto y admite conexiones persistentes. https://api.evolink.ai es el endpoint principal para servicios multimodales y actúa como dirección de respaldo para los modelos de texto.Autorizaciones
##Todas las APIs requieren autenticación Bearer Token##
Obtener API Key:
Visita la Página de gestión de API Key para obtener tu API Key
Agregar al encabezado de la solicitud:
Authorization: Bearer YOUR_API_KEY
Cuerpo
Modelo a invocar:
| ID del modelo | Ventana de contexto | Posicionamiento |
|---|---|---|
gpt-6-astra | 1.050.000 | Razonamiento insignia para tareas integrales exigentes |
gpt-5.6-sol | 1.050.000 | Familia GPT-5.6, razonamiento de vanguardia |
gpt-5.6-terra | 1.050.000 | Familia GPT-5.6, producción equilibrada |
gpt-5.6-luna | 1.050.000 | Familia GPT-5.6, alto rendimiento y control de costes |
gpt-5.5 | 400.000 | Modelo de razonamiento de propósito general |
gpt-5.4 | 128.000 | Modelo de razonamiento de propósito general |
gpt-5.2 | 400.000 | Modelo de razonamiento de propósito general |
gpt-5.1 | 400.000 | Modelo de razonamiento de propósito general |
gpt-6-astra, gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna, gpt-5.5, gpt-5.4, gpt-5.2, gpt-5.1 "gpt-6-astra"
Entrada del modelo: una cadena simple o un array de elementos de entrada.
Para la sintaxis completa de contenido multimodal y resultados de herramientas, consulta la documentación de parámetros completa.
"input": [
{
"role": "user",
"content": [
{ "type": "input_text", "text": "¿Qué hay en esta imagen?" },
{ "type": "input_image", "image_url": "https://example.com/photo.png" }
]
}
]
"Explain quantum entanglement in one sentence."
Respuesta
Respuesta generada con éxito
Identificador único de esta respuesta, que puede usarse como previous_response_id en el siguiente turno
"resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5"
Tipo de respuesta
response "response"
Estado de la respuesta
completed, incomplete, failed "completed"
Nombre del modelo real utilizado
"gpt-6-astra"
Marca de tiempo de creación
1786705221
Elementos de salida ordenados según la generación: el elemento reasoning (resumen del razonamiento), los elementos de llamada a herramientas y, por último, el elemento message con el contenido output_text.
Show child attributes
Show child attributes
Estadísticas de uso de tokens. La caché de prompts se aplica automáticamente y los tokens de entrada servidos desde caché se facturan a la tarifa de caché, más baja.
Show child attributes
Show child attributes