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"
}
}GPT Schnittstelle für alle Modelle - Schnellstart Responses
- Aufruf von GPT-Textmodellen im OpenAI-Responses-Format (das konkrete Modell wird über den Parameter
modelgewählt) - Modelle für Reasoning und Werkzeugaufrufe, unterstützen gemischte Text- und Bildeingaben
- Diese API unterstützt serverseitige Tools: Websuche, Codeausführung und Dokumentensuche
- Mehrere Gesprächsrunden lassen sich mit
previous_response_idverketten, ohne den Verlauf erneut zu übertragen - Sie benötigen Werkzeuge und alle Parameter? Siehe die vollständige Parameterdokumentation
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 und bietet bessere Unterstützung für Textmodelle sowie persistente Verbindungen. https://api.evolink.ai ist der primäre Endpunkt für multimodale Dienste und dient bei Textmodellen als Ausweichadresse.Autorisierungen
##Alle APIs erfordern Bearer-Token-Authentifizierung##
API-Schlüssel erhalten:
Besuchen Sie die API-Schlüsselverwaltungsseite, um Ihren API-Schlüssel zu erhalten
Zum Anfrage-Header hinzufügen:
Authorization: Bearer YOUR_API_KEY
Body
Aufzurufendes Modell:
| Modell-ID | Kontextfenster | Positionierung |
|---|---|---|
gpt-6-astra | 1.050.000 | Flaggschiff-Reasoning für anspruchsvolle End-to-End-Aufgaben |
gpt-5.6-sol | 1.050.000 | GPT-5.6-Familie, Spitzen-Reasoning |
gpt-5.6-terra | 1.050.000 | GPT-5.6-Familie, ausgewogener Produktivbetrieb |
gpt-5.6-luna | 1.050.000 | GPT-5.6-Familie, hoher Durchsatz und Kostenkontrolle |
gpt-5.5 | 400.000 | Allgemeines Reasoning-Modell |
gpt-5.4 | 128.000 | Allgemeines Reasoning-Modell |
gpt-5.2 | 400.000 | Allgemeines Reasoning-Modell |
gpt-5.1 | 400.000 | Allgemeines Reasoning-Modell |
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"
Modelleingabe: eine reine Zeichenkette oder ein Array von Eingabeelementen.
Die vollständige Schreibweise für multimodale Inhalte und Werkzeugergebnisse finden Sie in der vollständigen Parameterdokumentation.
"input": [
{
"role": "user",
"content": [
{ "type": "input_text", "text": "Was ist auf diesem Bild zu sehen?" },
{ "type": "input_image", "image_url": "https://example.com/photo.png" }
]
}
]
"Explain quantum entanglement in one sentence."
Antwort
Antwortgenerierung erfolgreich
Eindeutige ID dieser Antwort, kann als previous_response_id für die nächste Runde dienen
"resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5"
Antworttyp
response "response"
Antwortstatus
completed, incomplete, failed "completed"
Tatsächlich verwendeter Modellname
"gpt-6-astra"
Erstellungszeitstempel
1786705221
Ausgabeelemente in Generierungsreihenfolge: das reasoning-Element (Reasoning-Zusammenfassung), Werkzeugaufruf-Elemente und zuletzt das message-Element mit dem output_text-Inhalt.
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Statistik zum Token-Verbrauch. Prompt-Caching greift automatisch; im Cache getroffene Eingabe-Token werden zum günstigeren Cache-Preis abgerechnet.
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