Avoid Agent Retry Storms

The Problem

When a production agent's search tool returns a soft failure (timeout, rate limit, parser error) the LLM retries. Unchecked retries across a fleet cause retry storms that blow through budgets, block good agents behind bad ones, and sometimes escalate into incidents.

The Scavio Solution

Scavio ships with structured error codes, stable schemas, and an SLA-backed success rate. Your agent can distinguish real failure from transient hiccup and stop retrying when retrying will not help. Combined with per-call timeouts and circuit breakers, retry storms become rare and recoverable.

Who It Is For

Teams running production agent fleets whose on-call has been paged for retry storms.

Key Benefits

• Typed error codes let the agent decide when to retry
• SLA-backed success rate across platforms
• Stable response schema eliminates parser-flap retries
• Per-call rate limiting prevents cascading failures
• First-party docs on retry patterns for production agents

Python Example

import requests, os, time
for attempt in range(3):
    r = requests.post('https://api.scavio.dev/api/v1/search',
        headers={'x-api-key': os.environ['SCAVIO_API_KEY']},
        json={'query': 'hello'})
    if r.status_code == 429:
        time.sleep(int(r.headers.get('Retry-After', 2)))
        continue
    r.raise_for_status()
    break

JavaScript Example

for (let attempt = 0; attempt < 3; attempt++) {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {
    method: 'POST',
    headers: { 'x-api-key': process.env.SCAVIO_API_KEY, 'content-type': 'application/json' },
    body: JSON.stringify({ query: 'hello' }),
  });
  if (r.status === 429) { await new Promise(res => setTimeout(res, 2000)); continue; }
  break;
}

Platforms Used