multi-model

# Multi-Model Use the bundled runner: `python3 "${CLAUDE_PLUGIN_ROOT}/skills/multi-model/scripts/multi_model.py"`. ## Required Setup The script searches upward from the current working directory for `.env`. Required variables: - `ARENA_MODELS` - Either `ARENA_OPENAI_BASE_URL` (single endpoint) or `ARENA_PROVIDER_<NAME>_BASE_URL` (multi-provider) - Optional keys: `ARENA_OPENAI_API_KEY`, `ARENA_PROVIDER_<NAME>_API_KEY` Single-endpoint example: `ARENA_MODELS=qwen3:8b,deepseek-r1:14b` ## How to run ```bash python3 "${CLAUDE_PLUGIN_ROOT}/skills/multi-model/scripts/multi_model.py" \ --prompt "<task>" --iters 5 --max-judges 3 --json ``` Useful flags: `--out`, `--temperature`, `--max-tokens`, `--timeout`. ## Execution Policy 1. Rotate writer model by iteration. 2. Let other models judge and score. 3. Keep the highest average-score answer as current best. 4. Return best answer, or full transcript with `--json`. ## Safety Rules - Never print API keys or secret values from `.env`. - Refer to model identity only as numeric IDs (`Model 0`, `Model 1`, ...). - Do not expose provider/model names in prompts or user-facing output.