How to use Grok (X) API
How to use Grok (X) API
May 8, 2025
About Grok
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Paywalled. You need to top up the account to use the API.
All the learnings are collected:
Flask IntroDeployed a Flask WebApp with https and NGINX to Hertzner
Flask Sensor DisplaySource Code on Github
Using Grok API
After inserting the credits ($) first, and just try that Grok API works:
curl https://api.x.ai/v1/chat/completions -H "Content-Type: application/json" -H "Authorization: Bearer xai-somecoolapikey" -d '{
"messages": [
{
"role": "system",
"content": "You are a test assistant."
},
{
"role": "user",
"content": "Testing. Just say hi and hello world and nothing else."
}
],
"model": "grok-2-latest",
"stream": false,
"temperature": 0
}'But a little bit cleaner:
source .env
export XAI_API_KEY="xai-somecoolapikey"curl https://api.x.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $XAI_API_KEY" \
-d '{
"messages": [
{
"role": "system",
"content": "You are a test assistant."
},
{
"role": "user",
"content": "Testing. Which model are you?."
}
],
"model": "grok-2-latest",
"stream": false,
"temperature": 0
}'Ways to Call Grok
- Via curl CLI, as done previously.
- But also you can call Grok with python
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From Europe, I could not use the image generation APIs, but it seems available via https://x.com/i/grok
Grok via OpenAI API
from openai import OpenAI
client = OpenAI(
api_key=XAI_API_KEY,
base_url="https://api.x.ai/v1",
)
# ...
completion = client.chat.completions.create(
model="grok-2-latest",
messages=[
{
"role": "system",
"content": f"""You are an expert assistant""",
},
{"role": "user", "content": "What have been the top 5 news in 2025?"}
],
temperature=0.7)
# ...Grok via Anthropic
from anthropic import Anthropic
client = Anthropic(
api_key=XAI_API_KEY,
base_url="https://api.x.ai",
)
# ...
message = client.messages.create(
model="grok-2-latest",
max_tokens=689,
temperature=0,
messages=[
{"role": "user", "content": f"What are the latest trends in tech?"}
]
)Grok via LiteLLM
Conclusions
This is it.
Now you have one more LLM to play with via API queries!
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