TrustMeImWorking

Automatically consume your AI API token quota on a schedule — so your usage metrics always look healthy.

What it does

TrustMeImWorking runs as a background daemon that calls your configured LLM API at controlled intervals, consuming tokens according to your daily/weekly budget. It supports three run modes:

| Mode | Behaviour | |------|-----------| | ⭐ Work Simulation (recommended) | Fires during working hours on weekdays, using realistic job-related prompts (code review, architecture design, data analysis…). Looks exactly like real usage. | | Spread | Distributes today's budget evenly across the remaining hours, so consumption is smooth and natural-looking. | | Immediate | Starts consuming right now; resets at 00:00 each day. |

Quick start

# 1. Clone
git clone https://github.com/pengtianhao48-lab/TrustMeImWorking
cd TrustMeImWorking

# 2. Install dependencies
pip install -r requirements.txt

# 3. Configure (interactive wizard)
python3 tmw.py wizard

# 4. Start (real-time dashboard)
python3 tmw.py start

Wizard

The interactive wizard (python3 tmw.py wizard) walks you through:

1. Language — English or 中文
2. Platform — OpenAI, DeepSeek, Anthropic, Gemini, Groq, or Custom
3. Base URL — official endpoint or a third-party relay / company gateway
4. Model — with platform defaults pre-filled
5. API Key — stored only in local config.json, never committed
6. Weekly budget — min/max token range
7. Job description — used to generate realistic work-simulation prompts
8. Run mode — work / spread / immediate
9. Work hours — start/end time, timezone (work mode only)
10. Enterprise gateway — custom headers, proxy, mTLS, JWT (optional)

Dashboard

python3 tmw.py start opens a live dashboard that refreshes every 2 seconds:

╭──────────────────────────────────────────────────────────────────────╮
│ TrustMeImWorking   Platform: DeepSeek   Mode: Work-Simulation        │
│                    Uptime: 01m 23s      Config: config.json          │
╰──────────────────────────────────────────────────────────────────────╯
╭─────────────────────────── Consumption ──────────────────────────────╮
│ Today      ████████████████████████░░░░   12,345 / 14,000  (88%)    │
│ This week  ███████████████████████░░░░░   67,890 / 50,000–80,000    │
╰──────────────────────────────────────────────────────────────────────╯
╭──────────────────────────── Session ─────────────────────────────────╮
│ ● ACTIVE  This session: 1,234 / 8,800  (14%)                         │
│ ███░░░░░░░░░░░░░░░░░░░░░░░░░                                         │
│ Today's progress:  5,200 / 14,000  (37%)                             │
│ Prompt: How does Kubernetes handle container orchestration…           │
╰──────────────────────────────────────────────────────────────────────╯
  Press Ctrl+C to stop

Commands

| Command | Description | |---------|-------------| | python3 tmw.py wizard | Interactive setup wizard | | python3 tmw.py start | Start daemon with live dashboard | | python3 tmw.py start -b | Start as background daemon (silent) | | python3 tmw.py stop | Stop background daemon | | python3 tmw.py logs | View recent log (last 50 lines) | | python3 tmw.py logs -n 200 | View more log lines | | python3 tmw.py status | Show consumption stats | | python3 tmw.py run | Run one session immediately | | python3 tmw.py run --dry-run | Simulate without calling the API |

Requirements

• Python 3.8+
• pip install -r requirements.txt (rich, openai, requests)
• An API key for any OpenAI-compatible LLM service

Configuration

All settings are stored in config.json (auto-generated by the wizard). The file is listed in .gitignore and never committed.

Supported platforms

OpenAI · DeepSeek · Anthropic · Google Gemini · Groq · Any OpenAI-compatible endpoint (Ollama, vLLM, LM Studio, SiliconFlow, company gateways, etc.)