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"
}
}API tous modèles GPT - Démarrage rapide Responses
- Appeler les modèles de texte de la série GPT au format OpenAI Responses (le modèle précis est choisi via le paramètre
model) - Modèles de raisonnement et d’appel d’outils, prenant en charge une entrée mixte texte et image
- Cette API prend en charge les outils côté serveur : recherche web, exécution de code et recherche documentaire
- Les conversations à plusieurs tours peuvent être enchaînées avec
previous_response_id, sans retransmettre l’historique - Besoin des outils et de tous les paramètres ? Consultez la documentation complète des paramètres
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, qui offre une meilleure prise en charge des modèles de texte et des connexions persistantes. https://api.evolink.ai est le point d’accès principal pour les services multimodaux et sert d’adresse de secours pour les modèles de texte.Autorisations
##Toutes les API nécessitent une authentification Bearer Token##
Obtenir une clé API :
Visitez la Page de gestion des clés API pour obtenir votre clé API
Ajouter à l'en-tête de requête :
Authorization: Bearer YOUR_API_KEY
Corps
Modèle à appeler :
| ID du modèle | Fenêtre de contexte | Positionnement |
|---|---|---|
gpt-6-astra | 1 050 000 | Raisonnement phare pour les tâches de bout en bout exigeantes |
gpt-5.6-sol | 1 050 000 | Famille GPT-5.6, raisonnement de pointe |
gpt-5.6-terra | 1 050 000 | Famille GPT-5.6, production équilibrée |
gpt-5.6-luna | 1 050 000 | Famille GPT-5.6, débit élevé et maîtrise des coûts |
gpt-5.5 | 400 000 | Modèle de raisonnement polyvalent |
gpt-5.4 | 128 000 | Modèle de raisonnement polyvalent |
gpt-5.2 | 400 000 | Modèle de raisonnement polyvalent |
gpt-5.1 | 400 000 | Modèle de raisonnement polyvalent |
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"
Entrée du modèle : une simple chaîne de caractères, ou un tableau d'éléments d'entrée.
Pour la syntaxe complète du multimodal et des résultats d'outils, consultez la documentation complète des paramètres.
"input": [ { "role": "user", "content": [ { "type": "input_text", "text": "Que voit-on sur cette image ?" }, { "type": "input_image", "image_url": "https://example.com/photo.png" } ] } ]
"Explain quantum entanglement in one sentence."
Réponse
Réponse générée avec succès
Identifiant unique de cette réponse, utilisable comme previous_response_id au tour suivant
"resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5"
Type de réponse
response "response"
Statut de la réponse
completed, incomplete, failed "completed"
Nom du modèle réellement utilisé
"gpt-6-astra"
Horodatage de création
1786705221
Éléments de sortie classés dans l'ordre de génération : l'élément reasoning (résumé du raisonnement), les éléments d'appel d'outils, puis enfin l'élément message contenant le contenu output_text.
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Statistiques d'utilisation des tokens. Le cache de prompts s'applique automatiquement ; les tokens d'entrée servis depuis le cache sont facturés au tarif de cache, plus bas.
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