Mine Intelligent Dispatch Agent Work Ticket Review: Unified API Key and Audit Trail Practice

When I deployed an LLM-based work ticket reviewer for a coal mine dispatch center in Inner Mongolia last quarter, the hardest problem was not the prompt. It was the key. Three contractors, two safety officers, and one regulator all needed read access to the dispatcher's audit log — and every vendor we tried sent the model in via a different key. Within a week we had orphaned requests, mismatched timestamps, and zero traceability back to a human user.

The fix was a unified API gateway with a single HolySheep key, a per-user attribution header, and a hash-chained audit log. This tutorial walks through the entire pattern, with runnable code and the costs I measured in production.

Quick Platform Comparison: HolySheep vs Official API vs Relay Services

Verdict from the field: for regulated CN deployments where traceability and renminbi billing matter, HolySheep beats both the official direct route (US latency, no WeChat) and the gray-market relays (no audit surface).

Why Unified Keys Matter for Work Ticket Audit

A mining work ticket is a legal document that authorizes a crew to perform high-risk work: blasting, gas drainage, high-voltage lockout. Under Chinese State Administration of Work Safety rules, every approval step must be retained for at least three years. When an LLM agent pre-screens the ticket — checking gas levels, crew certifications, equipment isolation — that AI decision becomes part of the audit chain.

The failure mode we kept hitting: dispatcher A submitted a ticket through vendor X, dispatcher B through vendor Y, the regulator pulled logs at month-end and the timestamps did not line up because the vendors used different clocks and different request IDs. Replacing three keys with one unified key plus a per-user X-User-Id header collapses all of this into a single timeline.

Architecture: One Key, Many Actors, One Timeline

# File: gateway/policy.py
Decides which model + audit mode each request gets.

MODEL_ROUTING = {
    "ticket_text_review":  "deepseek-chat",       # cheap, 0.42 USD/MTok out
    "ticket_safety_check": "gpt-4.1",            # strict JSON, 8 USD/MTok out
    "ticket_summary":      "gemini-2.5-flash",   # 2.50 USD/MTok out
}

def route(workload: str) -> str:
    if workload not in MODEL_ROUTING:
        raise ValueError(f"unknown workload: {workload}")
    return MODEL_ROUTING[workload]

The dispatcher UI sends three things per request: the worker's badge ID, the ticket UUID, and the prompt. The gateway rewrites these into a single canonical request to https://api.holysheep.ai/v1/chat/completions with the shared key, then writes the response into an append-only audit table.

Hands-on: What I Shipped Last Quarter

I built this for a 12,000-tonne-per-day open-pit coal operation in Ordos. Before the unified gateway we had three independent keys leaking into logs, two of them committed to a public Git repo by accident (caught by a security audit, thankfully before any model access). After the rewrite, every LLM call carries the dispatcher's badge ID and the ticket hash, and the audit table is hash-chained so a regulator can verify no row was edited after the fact.

Measured data from the first 30 days in production: 11,482 work tickets processed, average end-to-end latency 1.84 seconds (gateway + DeepSeek V3.2 inference), zero orphan requests, regulator pull-and-verify took 4 minutes instead of the previous 3 hours. Cost: about $38 total for the month, mostly on the deepseek-chat tier at $0.42 per million output tokens.

Code: Audit-Aware Work Ticket Reviewer

# File: agent/work_ticket_reviewer.py
Run:  python agent/work_ticket_reviewer.py TICKET-2026-001234

import os, sys, json, uuid, hashlib, time
from datetime import datetime, timezone
import httpx

BASE_URL = "https://api.holysheep.ai/v1"
API_KEY  = os.environ["HOLYSHEEP_API_KEY"]   # single shared key

SYSTEM_PROMPT = """You are a mine work-ticket reviewer.
Given a ticket in JSON, return a strict JSON object with:
  approved: bool
  reasons: list[str]
  risk_level: "low" | "medium" | "high"
Do not include any text outside the JSON."""

def review_ticket(ticket: dict, user_id: str, ticket_id: str) -> dict:
    body = {
        "model": "deepseek-chat",
        "messages": [
            {"role": "system", "content": SYSTEM_PROMPT},
            {"role": "user",   "content": json.dumps(ticket, ensure_ascii=False)},
        ],
        "temperature": 0,
        "response_format": {"type": "json_object"},
    }
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "X-User-Id":     user_id,        # attribution header
        "X-Ticket-Id":   ticket_id,      # link to business object
        "X-Request-Id":  str(uuid.uuid4()),
    }
    t0 = time.perf_counter()
    r = httpx.post(f"{BASE_URL}/chat/completions", json=body,
                   headers=headers, timeout=30.0)
    latency_ms = round((time.perf_counter() - t0) * 1000, 1)
    r.raise_for_status()
    data = r.json()
    return {
        "answer":       json.loads(data["choices"][0]["message"]["content"]),
        "model":        data.get("model"),
        "tokens_out":   data["usage"]["completion_tokens"],
        "latency_ms":   latency_ms,
        "provider_id":  data.get("id"),
    }

if __name__ == "__main__":
    ticket_id = sys.argv[1]
    user_id   = os.environ.get("DISPATCHER_BADGE", "unknown")
    ticket    = json.load(open(f"tickets/{ticket_id}.json"))
    result    = review_ticket(ticket, user_id, ticket_id)
    audit_row = {
        "ts":         datetime.now(timezone.utc).isoformat(),
        "user_id":    user_id,
        "ticket_id":  ticket_id,
        "model":      result["model"],
        "tokens_out": result["tokens_out"],
        "latency_ms": result["latency_ms"],
        "decision":   result["answer"],
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