jeremylongshore/claude-code-plugins-plus-skills/curated-anth-prod-checklist

max_tokens

async def health_check():
    try:
        # Use token counting as a cheap health probe (no generation cost)
        count = client.messages.count_tokens(
            model="claude-haiku-4-20250514",
            messages=[{"role": "user", "content": "ping"}]
        )
        return {"status": "healthy", "tokens": count.input_tokens}
    except Exception as e:
        return {"status": "degraded", "error": str(e)}

import logging
import time

logger = logging.getLogger("anthropic")

def tracked_create(**kwargs):
    start = time.monotonic()
    try:
        response = client.messages.create(**kwargs)
        duration = time.monotonic() - start
        logger.info(
            "claude_request",
            extra={
                "request_id": response._request_id,
                "model": response.model,
                "input_tokens": response.usage.input_tokens,
                "output_tokens": response.usage.output_tokens,
                "duration_ms": int(duration * 1000),
                "stop_reason": response.stop_reason,
            }
        )
        return response
    except Exception as e:
        duration = time.monotonic() - start
        logger.error("claude_error", extra={"error": str(e), "duration_ms": int(duration * 1000)})
        raise

Metric	Warning	Critical
Error rate (5xx)	> 1%	> 5%
p99 latency	> 10s	> 30s
429 rate	> 5/min	> 20/min
Daily cost	> 80% budget	> 100% budget
Auth failures (401/403)	> 0	> 0 (immediate)

anth-prod-checklist

Summary

SKILL.md

Anthropic Production Checklist

Overview

Pre-Launch Checklist

Authentication & Keys

Error Handling

Rate Limits & Cost

Reliability

Observability

Content Safety

Infrastructure

Alerting Thresholds

Resources

Next Steps

Related skills