Provider: xAI

Call xAI models through Respan Gateway with unified logs, cost, and latency.

This page is for Respan LLM Gateway users.

Use Respan Gateway to call xAI Grok models (xai/grok-4.7, xai/grok-4.6, xai/grok-4.5, and the rest) while keeping unified observability (logs, cost, latency, reliability) in Respan.

Paste this into your coding agent:


Help me set up the Respan gateway to call xAI models.
Follow https://www.respan.ai/docs/integrations/gateway/model-providers/xAI.md

Quick setup

Get a Respan API key

Add credits (recommended)

Top up credits to pay through Respan. No xAI key required, Respan handles provider auth and billing.

Prefer to route through your own xAI account? See Use your own xAI key.

Send your first request

Pick the integration that matches your stack. The base URL is https://api.respan.ai/api and the only key needed is your RESPAN_API_KEY.

xAI is OpenAI-compatible. Point the OpenAI SDK at the Respan gateway and call any Grok model.


from openai import OpenAI

client = OpenAI(
    api_key="YOUR_RESPAN_API_KEY",
    base_url="https://api.respan.ai/api",
)

response = client.chat.completions.create(
    model="xai/grok-4.7",
    messages=[{"role": "user", "content": "Hello, Grok!"}],
)
print(response.choices[0].message.content)

Call respan.chat(...) explicitly to use the Gateway Chat Completions endpoint.

Use @ai-sdk/openai and point createOpenAI at the Respan gateway.


import { createOpenAI } from "@ai-sdk/openai";
import { generateText } from "ai";

const respan = createOpenAI({
  apiKey: process.env.RESPAN_API_KEY!,
  baseURL: "https://api.respan.ai/api",
});

const result = await generateText({
  model: respan.chat("xai/grok-4.7"),
  prompt: "Hello, Grok!",
});
console.log(result.text);

Call the Respan REST API directly from any language.


import requests

response = requests.post(
    "https://api.respan.ai/api/chat/completions",
    headers={
        "Authorization": "Bearer YOUR_RESPAN_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "xai/grok-4.7",
        "messages": [{"role": "user", "content": "Hello, Grok!"}],
    },
)
print(response.json()["choices"][0]["message"]["content"])

More integrations

xAI models work with every Respan gateway integration:

Switch models

Change the model parameter to call any supported model through the same client. Use the xai/ prefix to disambiguate when routing across providers. Browse the full list on the Models page .


client.chat.completions.create(model="xai/grok-4.7", messages=messages)
client.chat.completions.create(model="xai/grok-4.6", messages=messages)
client.chat.completions.create(model="xai/grok-4.5", messages=messages)
client.chat.completions.create(model="openai/gpt-6-sol", messages=messages)
client.chat.completions.create(model="anthropic/claude-opus-5-5", messages=messages)

Use your own xAI key (BYOK)

Credits are the default path. If you’d rather bill xAI directly, attach your own provider key.

Override credentials per model (Optional)

Use credential_override when one model on a request should use a different xAI key than the default.


{
  "customer_credentials": {
    "xai": { "api_key": "YOUR_XAI_API_KEY" }
  },
  "credential_override": {
    "xai/grok-4.7": { "api_key": "ANOTHER_XAI_API_KEY" }
  }
}

Log without proxying (Optional)

Already calling xAI directly? Send logs to Respan asynchronously to track cost, latency, and performance for those external calls.


import requests

requests.post(
    "https://api.respan.ai/api/request-logs/create/",
    headers={
        "Authorization": "Bearer YOUR_RESPAN_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "xai/grok-4.7",
        "prompt_messages": [{"role": "user", "content": "Hello, how are you?"}],
        "completion_message": {"role": "assistant", "content": "Hello from xAI through Respan."},
        "cost": 0.001,
        "generation_time": 1.2,
        "customer_params": {"customer_identifier": "user_123"},
    },
)

See the logging guide for the full setup.