m-ai-engineer-claude
1a6fba6595
40 Claude API calls across 4 agents × 11 turns. Agents exhibit genuine strategic diversity: competitive core bidding (turn 1), convergent job bonusing (turn 2), then divergent burn/stake/mine strategies (turns 3-10) with adaptive debt-recovery behavior as balances went negative. Evidence artifacts: - action_trace.jsonl — per-agent action + token counts per turn - llm_calls.jsonl — model ID, prompt/completion tokens, latency per call - run.log — full structured engine + LLM interaction log - metrics.json — aggregate config, per-turn data, final wealth Model: claude-haiku-4-5 via api.anthropic.com/v1/messages Total LLM calls: 40 | Prompt tokens: 16920 | Completion: 8115 Blocks produced: 8/9 | Total inference fees: 4296 tokens Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
3 lines
24 B
Plaintext
3 lines
24 B
Plaintext
sim-engine/target/
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*.db
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