Execute diagnose and fix common OpenRouter API errors. Use when troubleshooting failed requests. Trigger with phrases like 'openrouter error', 'openrouter not working', 'openrouter 401', 'openrouter 429', 'fix openrouter'.
OpenRouter returns standard HTTP error codes plus OpenRouter-specific error codes in the response body. The most common: 401 (auth), 402 (credits), 429 (rate limit), 400 (bad request), and 5xx (upstream provider errors). Each error includes a code field and a human-readable message. This skill covers every common error, its root cause, and the exact fix.
Prerequisites
An OpenRouter API key (sk-or-v1-...) exported as OPENROUTER_API_KEY — see the openrouter-install-auth skill for setup
curl and jq to run the Diagnostic Script
Python 3.8+ with the OpenAI SDK for the categorized error handler; Node.js 18+ for the TypeScript typed-error classifier in the references
The requests package if you use the Prevention Middleware's pre-flight model check
Instructions
Identify the failure by HTTP status and code using the Complete Error Reference table (400/401/402/403/408/429/5xx each map to a specific fix).
Inspect the body per Error Response Format — error.code, error.message, and error.metadata.provider_name tell you whether OpenRouter or the upstream provider failed.
Run the Diagnostic Script: it checks auth via GET /api/v1/auth/key, computes remaining credits, verifies the model exists in /api/v1/models, and fires a minimal 1-token completion.
Wrap production calls with safe_completion() from Python Error Handler — max_retries=3 auto-retries 429 and 5xx, and each exception class raises with its exact remedy.
Add validate_before_send() from Prevention Middleware to catch bad model IDs (with suggestions), malformed messages, and context overflows before spending money on a 400.
If errors persist across retries and providers, check status.openrouter.ai per the Error Handling table.
Complete Error Reference
HTTP
Error Code
Cause
Fix
400
bad_request
Malformed request body
Validate messages array format; ensure model ID includes provider prefix
400
invalid_model
Model ID not found
Check model exists: curl -s https://openrouter.ai/api/v1/models | jq '.data[].id'
400
context_length_exceeded
Prompt + max_tokens > model limit
Reduce prompt size or use a larger-context model
400
invalid_tool_schema
Tool definition has unsupported types
Use basic JSON Schema types only (string, number, boolean, object, array)
import os
from openai import OpenAI, APIError, AuthenticationError, RateLimitError, BadRequestError, APITimeoutError
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=os.environ["OPENROUTER_API_KEY"],
max_retries=3, # Auto-retry 429 and 5xx
timeout=30.0,
default_headers={"HTTP-Referer": "https://my-app.com", "X-Title": "my-app"},
)
def safe_completion(messages, model="openai/gpt-4o-mini", **kwargs):
"""Completion with categorized error handling."""
try:
return client.chat.completions.create(
model=model, messages=messages, **kwargs
)
except AuthenticationError as e:
# 401: Bad or missing API key
raise SystemExit(f"AUTH ERROR: Check OPENROUTER_API_KEY. {e}")
except BadRequestError as e:
# 400: Bad model ID, invalid params, context too long
if "context_length" in str(e):
raise ValueError(f"Prompt too long for {model}. Trim or use larger-context model.")
raise ValueError(f"Bad request: {e}")
except RateLimitError:
# 429: SDK already retried max_retries times
raise RuntimeError("Rate limited after all retries. Wait or use more API keys.")
except APITimeoutError:
# Timeout: model too slow
raise TimeoutError(f"Model {model} timed out. Try streaming or a faster model.")
except APIError as e:
# 402, 5xx, other
if e.status_code == 402:
raise RuntimeError("Insufficient credits. Top up at openrouter.ai/credits")
raise RuntimeError(f"API error {e.status_code}: {e}")
Prevention Middleware
import requests
def validate_before_send(model: str, messages: list, max_tokens: int = 1024):
"""Pre-flight validation to catch common mistakes before API call."""
errors = []
# Check model exists
models = requests.get("https://openrouter.ai/api/v1/models").json()["data"]
model_ids = {m["id"] for m in models}
if model not in model_ids:
# Try to suggest correct ID
prefix = model.split("/")[0] if "/" in model else ""
suggestions = [m for m in model_ids if prefix and m.startswith(prefix)][:3]
errors.append(f"Model '{model}' not found. Did you mean: {suggestions}")
# Check messages format
if not messages or not isinstance(messages, list):
errors.append("messages must be a non-empty list")
for msg in messages:
if "role" not in msg or "content" not in msg:
errors.append(f"Each message needs 'role' and 'content': {msg}")
# Estimate context usage
total_chars = sum(len(str(m.get("content", ""))) for m in messages)
est_tokens = total_chars // 4
model_info = next((m for m in models if m["id"] == model), None)
if model_info:
ctx_limit = model_info["context_length"]
if est_tokens + max_tokens > ctx_limit:
errors.append(f"Estimated {est_tokens} + {max_tokens} max_tokens > {ctx_limit} context limit")
if errors:
raise ValueError("Pre-flight validation failed:\n" + "\n".join(f" - {e}" for e in errors))
Output
A four-line diagnostic report: auth OK/FAIL, dollars of credit remaining, model availability in /api/v1/models, and the HTTP status of a minimal live request
Categorized exceptions from safe_completion() — auth failures exit pointing at the key, 402s point at credit top-up, context overflows raise ValueError naming the model to trim for
Pre-flight ValueErrors from validate_before_send() listing every problem found (unknown model with suggested IDs, missing role/content fields, estimated-token overflow) before any API call is made
Examples
A healthy integration produces this from the Diagnostic Script:
=== OpenRouter Error Diagnostics ===
1. Auth: OK
2. Credits: $46.58 remaining
3. Model: openai/gpt-4o-mini available
4. Request: OK
Any FAIL line maps straight to a row in the Complete Error Reference table — e.g. 1. Auth: FAIL (HTTP 401) means regenerating the key at openrouter.ai/keys. More worked examples: references/examples.md.
Error Handling
Scenario
SDK Behavior
Your Action
429 rate limit
Auto-retries with backoff
Increase max_retries or add keys
5xx server error
Auto-retries with backoff
Increase max_retries; add fallback models
401 auth error
Fails immediately (no retry)
Fix API key and retry
400 bad request
Fails immediately (no retry)
Fix request parameters
402 no credits
Fails immediately (no retry)
Top up credits
Enterprise Considerations
The OpenAI SDK handles 429 and 5xx retries automatically -- configure max_retries (default 2, recommend 3-5)
Implement pre-flight validation to catch 400 errors before making API calls (saves money and time)
Log error codes and rates to detect systematic issues (e.g., provider outages show as 502 spike)
Build a status dashboard that checks both your error rates and status.openrouter.ai
For 402 errors, implement credit balance monitoring with alerts at 20% remaining