curl --request POST \ --url https://direct.evolink.ai/v1/responses \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "grok-4.7", "input": "Explain what makes Grok 4.5 different in two sentences."}'
import requests
url = "https://direct.evolink.ai/v1/responses"
payload = {
"model": "grok-4.7",
"input": "Explain what makes Grok 4.5 different in two sentences."
}
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: 'grok-4.7',
input: 'Explain what makes Grok 4.5 different in two sentences.'
})
};
fetch('https://direct.evolink.ai/v1/responses', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://direct.evolink.ai/v1/responses"
payload := strings.NewReader("{\n \"model\": \"grok-4.7\",\n \"input\": \"Explain what makes Grok 4.5 different in two sentences.\"\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\": \"grok-4.7\",\n \"input\": \"Explain what makes Grok 4.5 different in two sentences.\"\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\": \"grok-4.7\",\n \"input\": \"Explain what makes Grok 4.5 different in two sentences.\"\n}"
response = http.request(request)
puts response.read_body
Grok Schnittstelle für alle Modelle - Schnellstart Responses
Aufruf von xAI-Grok-Textmodellen im OpenAI-Responses-API-Format (Modellauswahl über den Parameter model)
Reasoning- und Tool-Modelle mit einem Kontextfenster von 500K Token
Serverseitige xAI-Tools laufen auf der xAI-Infrastruktur: web_search, x_search, code_execution, attachment_search und collections_search. X Search wird nach abgerufenen Beiträgen und Nutzerprofilen abgerechnet, andere Tools pro erfolgreichem Aufruf.
Laut offizieller xAI-API-Spezifikation gibt grok-4.7 standardmäßig reasoning-Elemente mit encrypted_content zurück; maßgeblich sind die tatsächlich über den jeweiligen Zugangsweg zurückgegebenen Felder.
POST
/
v1
/
responses
Grok Schnellantwort (alle Modelle)
curl --request POST \ --url https://direct.evolink.ai/v1/responses \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "grok-4.7", "input": "Explain what makes Grok 4.5 different in two sentences."}'
import requests
url = "https://direct.evolink.ai/v1/responses"
payload = {
"model": "grok-4.7",
"input": "Explain what makes Grok 4.5 different in two sentences."
}
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: 'grok-4.7',
input: 'Explain what makes Grok 4.5 different in two sentences.'
})
};
fetch('https://direct.evolink.ai/v1/responses', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://direct.evolink.ai/v1/responses"
payload := strings.NewReader("{\n \"model\": \"grok-4.7\",\n \"input\": \"Explain what makes Grok 4.5 different in two sentences.\"\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\": \"grok-4.7\",\n \"input\": \"Explain what makes Grok 4.5 different in two sentences.\"\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\": \"grok-4.7\",\n \"input\": \"Explain what makes Grok 4.5 different in two sentences.\"\n}"
response = http.request(request)
puts response.read_body
BaseURL: Die Standard-BaseURL ist 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.
Ausgabeelemente. Grok-Reasoning-Modelle liefern in der Regel zuerst reasoning-Elemente (zusammengefasster Denkprozess) und abschließend ein message-Element mit der endgültigen Antwort.
Statistik zur Token-Nutzung. Ab 200K Token im Prompt werden alle Token-Typen zum doppelten Preis abgerechnet.
Show child attributes
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Schnellstart Responses","openapi":"de/api-manual/language-series/grok/responses/responses-quickstart.json POST /v1/responses","description":"- Aufruf von xAI-Grok-Textmodellen im OpenAI-Responses-API-Format (Modellauswahl über den Parameter `model`)\n- Reasoning- und Tool-Modelle mit einem Kontextfenster von 500K Token\n- Serverseitige xAI-Tools laufen auf der xAI-Infrastruktur: `web_search`, `x_search`, `code_execution`, `attachment_search` und `collections_search`. X Search wird nach abgerufenen Beiträgen und Nutzerprofilen abgerechnet, andere Tools pro erfolgreichem Aufruf.\n- Tools und alle Parameter benötigt? Siehe die [vollständige Parameterdokumentation](/de/api-manual/language-series/grok/responses/responses-reference)\n- Laut offizieller xAI-API-Spezifikation gibt `grok-4.7` standardmäßig `reasoning`-Elemente mit `encrypted_content` zurück; maßgeblich sind die tatsächlich über den jeweiligen Zugangsweg zurückgegebenen Felder.","href":"/de/api-manual/language-series/grok/responses/responses-quickstart"},"description":{"compiledSource":"\"use strict\";\nconst {jsx: _jsx, jsxs: _jsxs} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n const _components = {\n a: \"a\",\n code: \"code\",\n li: \"li\",\n ul: \"ul\",\n ..._provideComponents(),\n ...props.components\n };\n return _jsxs(_components.ul, {\n children: [\"\\n\", _jsxs(_components.li, {\n children: [\"Aufruf von xAI-Grok-Textmodellen im OpenAI-Responses-API-Format (Modellauswahl über den Parameter \", _jsx(_components.code, {\n children: \"model\"\n }), \")\"]\n }), \"\\n\", _jsx(_components.li, {\n children: \"Reasoning- und Tool-Modelle mit einem Kontextfenster von 500K Token\"\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Serverseitige xAI-Tools laufen auf der xAI-Infrastruktur: \", _jsx(_components.code, {\n children: \"web_search\"\n }), \", \", _jsx(_components.code, {\n children: \"x_search\"\n }), \", \", _jsx(_components.code, {\n children: \"code_execution\"\n }), \", \", _jsx(_components.code, {\n children: \"attachment_search\"\n }), \" und \", _jsx(_components.code, {\n children: \"collections_search\"\n }), \". 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