Blueprint: SaaS Quota Watchdog
Protecting Specialized API Budgets from Autonomous Agent Loops
Agents using expensive SaaS APIs (e.g., Clearbit, Apollo, specialized research tools) can exhaust a month's worth of credits in a single recursive loop. Governance must enforce daily and monthly tool-call quotas.
This blueprint demonstrates Tool-Level Rate Limiting and Quota Enforcement.
Architecture
1. Master Policy Definition
{
"name": "saas-economic-policy",
"priority": 8000,
"rules": [
{
"id": "limit-saas-lookups",
"effect": "allow",
"principals": ["*"],
"actions": ["saas:lookup"],
"resources": ["*"]
}
],
"cost_policy": {
"max_requests_per_day": 100
}
}
2. Implementation
Python Prototype
from openai import OpenAI
import time
client = OpenAI(
api_key="ignored",
base_url="http://cz-gateway:8001/v1",
default_headers={"X-ControlZero-User-ID": "marketing-bot"}
)
def perform_bulk_research(targets: list):
for target in targets:
try:
# Control Zero Gateway tracks request count per project/user
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": f"Lookup info for {target}"}],
tools=[{"type": "function", "function": {"name": "saas:lookup", "parameters": {"type": "object"}}}]
)
print(f"Success for {target}")
except Exception as e:
if "quota exceeded" in str(e).lower():
print(f"CRITICAL: Daily budget reached. Stopping loop.")
break
print(f"Error: {e}")
# Scenario: Attempting to process more than the daily quota
bulk_list = [f"company-{i}" for i in range(200)]
perform_bulk_research(bulk_list)
3. Validation Checklist
- Counter Persistence: Verify that the daily request counter correctly persists across container restarts (Redis check).
- Reset Cycle: Ensure quotas reset at 00:00 UTC (or configured timezone).
- Multi-User Quotas: Verify that User A hitting their quota does not block User B (if using user-level partitioning). 埋