ابزار فشرده‌سازی داده‌های پیش از LLM

# 1 — Install
uv tool install --python 3.13 "headroom-ai[all]"  # CLI in a self-contained env
pip install "headroom-ai[all]"                    # Python — ships the `headroom` CLI
npm install headroom-ai                           # TypeScript SDK only — no CLI

# 2 — Pick a mode
headroom deploy                         # turnkey local deployment + agent config
headroom wrap claude                    # wrap a coding agent
headroom proxy --port 8787              # drop-in proxy, zero code changes
# or: from headroom import compress     # inline library

# 3 — Check it and watch the savings
headroom doctor                         # health check — confirms routing works
headroom perf
headroom dashboard                      # live savings (proxy must be running)