llm-cost-advisor

# LLM Cost Advisor (WHAT) Recommend the right provider for the task at hand — balancing quality, cost, and privacy. ## When to use - User asks "which model should I use for X?" - Before scheduling expensive loops (pr-babysitter, ci-sweeper) - When dev-companion jobs are unexpectedly expensive - When choosing between local and cloud providers for sensitive work ## Out of scope - Does NOT configure providers — that's done via env vars and `loadenv` - Does NOT run LLM calls — it advises, the runner executes ## Workflow **Step 1 — Check available providers:** ```bash devcompanion llm-status ``` **Step 2 — Classify the task:** | Task type | Recommended tier | Why | |-----------|-----------------|-----| | Interactive code review, planning, debugging | Claude Sonnet / GPT-4o | Reasoning quality matters | | Batch labeling, summarization, triage | Claude Haiku / GPT-4o-mini | High volume, lower stakes | | Private/sensitive codebase work | Ollama or OpenCode | Stays local, zero cost | | Loop L1 (observation only) | Haiku / GPT-4o-mini | Low stakes, runs daily | | Loop L2 (PR creation) | Sonnet | Creates external artifacts | | Loop L3 (unattended) | Sonnet + verifier | Autonomous — quality critical | **Step 3 — Show cost estimate:** | Provider | Model | Est. per run | Monthly (1/day) | Monthly (96/day) | |----------|-------|-------------|-----------------|-----------------| | Anthropic | claude-3-5-sonnet | ~$0.05 | ~$1.50 | ~$144 | | Anthropic | claude-3-haiku | ~$0.005 | ~...