From openrouter-pack
Sets up OpenRouter API keys for Python and Node.js OpenAI clients, configures environment, verifies authentication, checks credits, and tests requests.
How this skill is triggered — by the user, by Claude, or both
Slash command
/openrouter-pack:openrouter-install-authThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Set up OpenRouter API credentials, configure the OpenAI-compatible client, verify authentication, and check credit balance. OpenRouter keys start with `sk-or-v1-` and authenticate against `https://openrouter.ai/api/v1`.
Set up OpenRouter API credentials, configure the OpenAI-compatible client, verify authentication, and check credit balance. OpenRouter keys start with sk-or-v1- and authenticate against https://openrouter.ai/api/v1.
pip install openai or npm install openai)my-app-dev)sk-or-v1-... value immediately (shown only once)# .env file (add .env to .gitignore!)
OPENROUTER_API_KEY=sk-or-v1-your-key-here
# Or export directly
export OPENROUTER_API_KEY="sk-or-v1-your-key-here"
Python:
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=os.environ["OPENROUTER_API_KEY"],
default_headers={
"HTTP-Referer": "https://your-app.com", # For analytics attribution
"X-Title": "Your App Name", # Shows in dashboard
},
)
TypeScript:
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
defaultHeaders: {
"HTTP-Referer": "https://your-app.com",
"X-Title": "Your App Name",
},
});
# Quick auth + credit check
import requests
resp = requests.get(
"https://openrouter.ai/api/v1/auth/key",
headers={"Authorization": f"Bearer {os.environ['OPENROUTER_API_KEY']}"},
)
data = resp.json()["data"]
print(f"Key: {data['label']}")
print(f"Credits used: ${data['usage']:.4f}")
print(f"Credit limit: ${data.get('limit', 'unlimited')}")
print(f"Free tier: {data['is_free_tier']}")
print(f"Rate limit: {data['rate_limit']['requests']} req / {data['rate_limit']['interval']}")
response = client.chat.completions.create(
model="google/gemma-2-9b-it:free", # Free model for testing
messages=[{"role": "user", "content": "Say hello"}],
max_tokens=50,
)
print(response.choices[0].message.content)
print(f"Tokens: {response.usage.prompt_tokens} in / {response.usage.completion_tokens} out")
| Header | Purpose | Required |
|---|---|---|
Authorization | Bearer sk-or-v1-... | Yes |
HTTP-Referer | Your app URL for dashboard attribution | Recommended |
X-Title | App name shown in OpenRouter dashboard | Recommended |
Content-Type | application/json | Yes (POST) |
| Type | Pattern | Purpose |
|---|---|---|
| Standard key | sk-or-v1-... | API access (chat completions, models) |
| Management key | sk-or-v1-... | Key provisioning only (cannot call completions) |
| BYOK provider key | Varies by provider | Bring-your-own-key for direct provider access |
| HTTP | Error Code | Cause | Fix |
|---|---|---|---|
| 401 | invalid_api_key | Key malformed, revoked, or wrong | Regenerate at openrouter.ai/keys |
| 401 | missing_api_key | No Authorization header | Add Authorization: Bearer sk-or-v1-... |
| 403 | insufficient_credits | Zero balance on paid model | Add credits at openrouter.ai/credits or use :free model |
| 403 | key_disabled | Key was disabled by admin | Re-enable in dashboard or create new key |
# Programmatic key management via Management API
import requests
MGMT_KEY = os.environ["OPENROUTER_MGMT_KEY"] # Management key, not API key
# Create a new key
resp = requests.post(
"https://openrouter.ai/api/v1/keys",
headers={"Authorization": f"Bearer {MGMT_KEY}"},
json={"name": "my-app-prod-v2", "limit": 100.0},
)
new_key = resp.json()["data"]["key"] # sk-or-v1-...
# List existing keys
keys = requests.get(
"https://openrouter.ai/api/v1/keys",
headers={"Authorization": f"Bearer {MGMT_KEY}"},
).json()
gitleaks, trufflehog)npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin openrouter-packInvoke OpenRouter CLI for chat completions, embeddings, rerank, video generation, API key management, model browsing, credits checks, and scripted LLM calls with stable JSON output from shell, scripts, and agents.
Step-by-step guide to connect OpenRouter API for LLM-powered skills like SERP clustering and PAA mining. Use when user needs to set up OpenRouter or provide an API key.
Guides minimal OpenRouter chat completion requests via cURL, Python OpenAI client, or TypeScript; parses responses for learning, setup testing, or connectivity verification.