OpenRouter Common Errors

Overview

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

message

Complete Error Reference

bad_request

messages

invalid_model

curl -s https://openrouter.ai/api/v1/models | jq '.data[].id'

context_length_exceeded

invalid_tool_schema

invalid_api_key

sk-or-v1-

missing_api_key

Authorization

Authorization: Bearer sk-or-v1-...

insufficient_credits

credit_limit_reached

key_disabled

request_timeout

rate_limit_exceeded

max_retries

provider_error

provider.order

model_unavailable

Error Response Format

{
  "error": {
    "code": 401,
    "message": "Invalid API key. Please check your API key and try again.",
    "metadata": {
      "provider_name": "Anthropic",
      "raw": "..."
    }
  }
}

Diagnostic Script

#!/bin/bash
echo "=== OpenRouter Error Diagnostics ==="

# 1. Test authentication
echo -n "1. Auth: "
AUTH=$(curl -s -o /dev/null -w "%{http_code}" \
  https://openrouter.ai/api/v1/auth/key \
  -H "Authorization: Bearer $OPENROUTER_API_KEY")
[ "$AUTH" = "200" ] && echo "OK" || echo "FAIL (HTTP $AUTH)"

# 2. Check credit balance
echo -n "2. Credits: "
CREDITS=$(curl -s https://openrouter.ai/api/v1/auth/key \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" | \
  jq -r '(.data.limit // 0) - .data.usage')
echo "\$$CREDITS remaining"

# 3. Test model availability
echo -n "3. Model: "
MODEL="openai/gpt-4o-mini"
EXISTS=$(curl -s https://openrouter.ai/api/v1/models | \
  jq --arg m "$MODEL" '[.data[] | select(.id == $m)] | length')
[ "$EXISTS" -gt 0 ] && echo "$MODEL available" || echo "$MODEL NOT FOUND"

# 4. Test a minimal request
echo -n "4. Request: "
RESP=$(curl -s -w "\n%{http_code}" \
  https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-4o-mini","messages":[{"role":"user","content":"hi"}],"max_tokens":1}')
HTTP=$(echo "$RESP" | tail -1)
[ "$HTTP" = "200" ] && echo "OK" || echo "FAIL (HTTP $HTTP)"

Python Error Handler

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))

Error Handling

max_retries

max_retries

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

References

• Examples | Errors
• Error Codes | Status