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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
66 lines
1.8 KiB
Markdown
66 lines
1.8 KiB
Markdown
# API Reference: Implementing API Rate Limiting and Throttling
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## Token Bucket Algorithm
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```python
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import time
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class TokenBucket:
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def __init__(self, capacity, refill_rate):
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self.capacity = capacity
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self.tokens = capacity
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self.refill_rate = refill_rate # tokens/sec
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self.last_refill = time.time()
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def allow(self):
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now = time.time()
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self.tokens = min(self.capacity,
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self.tokens + (now - self.last_refill) * self.refill_rate)
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self.last_refill = now
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if self.tokens >= 1:
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self.tokens -= 1
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return True
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return False
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```
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## Redis Sliding Window
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```python
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import redis, time
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r = redis.Redis()
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def check_rate(client_id, window=60, limit=100):
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key = f"rl:{client_id}"
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now = time.time()
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pipe = r.pipeline()
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pipe.zremrangebyscore(key, 0, now - window)
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pipe.zadd(key, {str(now): now})
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pipe.zcard(key)
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pipe.expire(key, window)
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_, _, count, _ = pipe.execute()
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return count <= limit
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```
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## HTTP 429 Response Headers
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| Header | Value | Description |
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|--------|-------|-------------|
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| `Retry-After` | `30` | Seconds until retry |
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| `X-RateLimit-Limit` | `100` | Max requests |
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| `X-RateLimit-Remaining` | `0` | Remaining requests |
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| `X-RateLimit-Reset` | epoch | Reset timestamp |
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## Kong Rate Limiting Plugin
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```bash
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curl -X POST http://localhost:8001/services/{id}/plugins \
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-d "name=rate-limiting" \
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-d "config.minute=100" \
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-d "config.policy=redis" \
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-d "config.redis_host=redis"
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```
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### References
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- Redis Rate Limiting: https://redis.io/glossary/rate-limiting/
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- IETF RateLimit Headers: https://datatracker.ietf.org/doc/draft-ietf-httpapi-ratelimit-headers/
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- Kong Rate Limiting: https://docs.konghq.com/hub/kong-inc/rate-limiting/
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