recursive-arena

Recursive-Arena

Use the orchestrator: python3 "${CLAUDE_PLUGIN_ROOT}/skills/recursive-arena/scripts/recursive_arena.py".

How to run

python3 "${CLAUDE_PLUGIN_ROOT}/skills/recursive-arena/scripts/recursive_arena.py" \
  --prompt "<task>" --iters 4 --arena-iters 3 --json

Common flags: --max-judges, --temperature, --max-tokens, --timeout.

Iteration Loop

For each outer iteration:

1. Run multi-model to generate a best candidate.
2. Use judge summaries as critique input.
3. Refine the prompt with the current best answer.
4. Keep the global best by score and continue.

Configuration

Reuses multi-model .env configuration:

• ARENA_MODELS
• ARENA_OPENAI_BASE_URL or ARENA_PROVIDER_<NAME>_BASE_URL
• Optional API keys (ARENA_OPENAI_API_KEY, ARENA_PROVIDER_<NAME>_API_KEY)

Optional orchestration env:

• RLM_ARENA_ARENA_ITERS default inner arena iterations
• RLM_ARENA_MAX_JUDGES default judge cap

Output and Safety

• Final answer is the best outer-iteration result.
• When useful, show a compact evolution table:
  • iteration
  • winner_model_id (numeric ID only)
  • avg_judge_score
  • refinement_applied
• Never disclose provider/model names.
• Never print secrets from .env.