token-sisyphus
# token-sisyphus
Push the boulder. Watch it roll back. At least your KPI is green.
The burn script is bundled at `scripts/burn.py` — no external download required.
## Setup
Install the SDK for your chosen provider:
```bash
pip install openai # for openai provider (default)
pip install anthropic # for claude provider
pip install google-generativeai # for gemini provider
```
Set the corresponding env var:
| Provider | Env var |
|----------|---------|
| OpenAI / compatible | `OPENAI_API_KEY` |
| Claude | `ANTHROPIC_API_KEY` |
| Gemini | `GEMINI_API_KEY` |
## Usage
Run the bundled script directly:
```
python {skillDir}/scripts/burn.py --target <amount> [options]
--target Token count: 50000, 100k, 1m (required)
--provider openai | claude | gemini (default: openai)
--model Model name (omit to use provider default)
--api-key API key (falls back to env var)
--base-url Custom endpoint URL (openai provider only)
--max-tokens Max tokens per request (default: 500)
--delay Seconds between requests (default: 0.5)
--dry-run Simulate without real API calls
```
## Common invocations
```bash
# OpenAI (default, gpt-4o-mini)
python {skillDir}/scripts/burn.py --target 100k
# Claude Haiku
python {skillDir}/scripts/burn.py --target 100k --provider claude --model claude-3-haiku-20240307
# Gemini Flash
python {skillDir}/scripts/burn.py --target 100k --provider gemini --model gemini-1.5-flash
# DeepSeek
python {skillDir}/scripts/burn.py --target 100k --base-url https://api.deepseek.com/v1 --model deepseek-chat
# Qwen / Tongyi
python {skillDir}/scripts/burn.py --target 100k --base-url https://dashscope.aliyuncs.com/compatible-mode/v1 --model qwen-turbo
# Kimi / Moonshot
python {skillDir}/scripts/burn.py --target 100k --base-url https://api.moonshot.cn/v1 --model moonshot-v1-8k
# Dry run (no real API calls, no cost)
python {skillDir}/scripts/burn.py --target 100k --dry-run
```
## Provider defaults
| Provider | Default model |
|----------|---------------|
| openai | gpt-4o-mini |
| claude | claude-3-haiku-20240307 |
| gemini | gemini-1.5-flash |
## Cost note
Each request uses up to `--max-tokens` (default 500) tokens. Running `--target 100k` will make ~200 requests. Use `--dry-run` first to verify behavior without incurring API costs. Prefer scoped/limited API keys when testing.
标签
skill
ai
