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Blueprint: The Optimized Analyst

Real-time Cost-Cap Enforcement for Analytical Systems​

Agents running large-scale analytical queries (e.g., scanning terabytes of logs or performing exhaustive research) can accidentally destroy a monthly API budget in minutes. This blueprint shows how to implement Recursive Cost-Cap Enforcement.

Architecture​

1. Master Policy Definition​

Define strict cost limits for analytical model groups.

{
  "name": "budgetary-safety-policy",
  "priority": 8000,
  "rules": [
    {
      "id": "allow-analyst",
      "effect": "allow",
      "principals": ["group:analysts"],
      "actions": ["llm.generate"],
      "resources": ["model/gpt-4o"]
    }
  ],
  "cost_policy": {
    "max_cost_per_request": 0.5,
    "max_cost_per_day": 10.0
  }
}

2. Implementation​

LangGraph Implementation (Supervisor Node)​

from langgraph.graph import StateGraph, END
from openai import OpenAI
import os

# Client pointing to Control Zero
client = OpenAI(
    api_key="ignored",
    base_url="http://cz-gateway:8001/v1",
    default_headers={"X-ControlZero-User-Group": "analysts"}
)

def supervisor_node(state):
    # The supervisor node performs the high-level planning.
    # Control Zero will reject this if the prompt is too large.
    try:
        response = client.chat.completions.create(
            model="gpt-4o",
            messages=[{"role": "user", "content": state["input"]}]
        )
        return {"output": response.choices[0].message.content}
    except Exception as e:
        # Graceful handling of budget blocks
        if "exceeds maximum" in str(e):
            return {"output": "Governance: Query rejected to protect budget."}
        raise e

# Build Graph
builder = StateGraph(dict)
builder.add_node("supervisor", supervisor_node)
builder.set_entry_point("supervisor")
builder.add_edge("supervisor", END)
graph = builder.compile()

# Scenario: Extremely long input that would cost > $0.50
massive_input = "Analyze this: " + ("data " * 50000)
result = graph.invoke({"input": massive_input})
print(result["output"])

3. Validation Checklist​

  • Budget Check: Send a massive prompt and verify the 403 Forbidden response mentions the cost limit.
  • Daily Quota: Verify that after $10 of usage, even small requests are blocked.
  • Audit Trail: View real-time cost accumulations in the Control Zero Audit Dashboard.