--- license: cc-by-4.0 pretty_name: "KamiBench Experiment 001 — Budget-Boxed Agents in a Live On-Chain World" tags: - agentic-traces - llm-agents - blockchain - game - benchmark configs: - config_name: telemetry data_files: - split: haiku45 path: haiku45/telemetry.jsonl - split: gpt4omini path: gpt4omini/telemetry.jsonl - split: gemini25fl path: gemini25fl/telemetry.jsonl - config_name: transcripts data_files: - split: haiku45 path: haiku45/transcripts/*.jsonl - split: gpt4omini path: gpt4omini/transcripts/*.jsonl - split: gemini25fl path: gemini25fl/transcripts/*.jsonl - config_name: oracle_kami_action data_files: - split: haiku45 path: haiku45/oracle/kami_action.jsonl - split: gpt4omini path: gpt4omini/oracle/kami_action.jsonl - split: gemini25fl path: gemini25fl/oracle/kami_action.jsonl - config_name: oracle_raw_tx data_files: - split: haiku45 path: haiku45/oracle/raw_tx.jsonl - split: gpt4omini path: gpt4omini/oracle/raw_tx.jsonl - split: gemini25fl path: gemini25fl/oracle/raw_tx.jsonl --- # KamiBench Experiment 001 — budget-boxed agents in Kamigotchi Complete agentic traces from **experiment 001**, the KamiBench calibration run: three LLM agents dropped into [Kamigotchi](https://kamigotchi.io), a live, persistent, on-chain world (Yominet), each with a **$10 inference budget**, a **7-day wall-clock cap**, and no further human contact. One identical scaffold, one identical tool surface (84 game tools via MCP), one variable: the model. The agents schedule their own wake-ups, keep their own files, and act on a real blockchain economy alongside human players — every on-chain consequence is independently verifiable. More at [kamibench.ai](https://kamibench.ai). ## Arms | config | model | stop | duration | sessions | quests | kamis bought | on-chain txs (reverted) | |---|---|---|---|---|---|---|---| | `haiku45` | claude-haiku-4-5 | budget ($10.73) | 17.2 h | 15 | 5 | 2 | 106 (61) | | `gpt4omini` | gpt-4o-mini | 7-day cap ($9.02) | 168.7 h | 166 | 0 | 0 | 30 (29) | | `gemini25fl` | gemini-2.5-flash-lite | 7-day cap ($8.99) | 168.9 h | 157 | 3 | 1 | 193 (182) | Headline contrast: haiku registered, funded, bought two kamis, and completed five quests **on day one**, exhausting its budget in 17 hours. gpt-4o-mini ran the full week and never once called `register_account` — 24 of its 24 game transactions reverted. gemini spent six days stuck pre-registration, then registered, completed three quests, and bought a level-31 kami 90 minutes before the wall. ## Run report The run's full report, migrated here from the site's run page on 2026-07-29 when run pages became compact cards ([kamibench.ai/experiments/001-budget-boxed](https://kamibench.ai/experiments/001-budget-boxed)); every number is frozen as originally published. ### What happened The three arms diverged sharply. Haiku completed the entire onboarding chain on day one — registered, funded its operator, bought two kamis, finished five quests — and exhausted its budget in 17 hours. GPT-4o-mini ran the full week and never once called `register_account`: 166 sessions, all 24 of its game transactions reverted, zero quests. Gemini spent six days stuck pre-registration, was unblocked by a single legible validation error, then completed three quests and bought a level-31 kami 90 minutes before the wall. Cost per quest: haiku $2.15, gemini $3.00, gpt-4o-mini ∞. ### Milestones First success per onboarding/economy milestone, against cumulative inference. These rows are the frozen baseline that stack iterations ([Run 2](https://kamibench.ai/experiments/002-stack-delta) onward) are compared against at fixed milestones. | milestone | haiku-4.5 | gpt-4o-mini | gemini-2.5-flash-lite | |---|---|---|---| | bridge ETH mainnet→Yominet landed | 07-10 23:10 · h1.4 · s2 · 0.14M tok · $0.14 | 07-12 04:45 · h31.0 · s32 · 10.33M tok · $1.56 | 07-11 03:35 · h5.8 · s6 · 0.62M tok · $0.06 | | operator wallet funded | 07-10 23:30 · h1.7 · s4 · 0.65M tok · $0.67 | 07-12 22:40 · h48.9 · s49 · 17.58M tok · $2.65 | 07-11 15:30 · h17.7 · s17 · 5.84M tok · $0.59 | | account registered in game | 07-10 23:30 · h1.7 · s4 · 0.68M tok · $0.70 | — | 07-16 15:15 · h137.5 · s129 · 62.57M tok · $6.30 | | first quest completed | 07-10 23:30 · h1.8 · s4 · 0.87M tok · $0.89 | — | 07-16 15:16 · h137.5 · s129 · 63.01M tok · $6.35 | | first kami bought | 07-11 00:35 · h2.8 · s5 · 2.30M tok · $2.34 | — | 07-17 20:30 · h166.7 · s156 · 87.83M tok · $8.84 | | first MUSU harvest started | 07-11 01:40 · h3.9 · s6 · 3.14M tok · $3.20 | — | — | | first MUSU banked (harvest stop/collect) | 07-11 01:50 · h4.1 · s7 · 3.51M tok · $3.57 | — | — | Cell = first success: UTC time · hours since run start · session number · cumulative tokens (in+out) · cumulative USD at that moment; "—" = never happened. ### What we learned - **Error legibility, not model capability, was the sharpest differentiator.** The same model that ignored opaque chain reverts for four days corrected a human-readable validation error in one turn. - **A single missing step was the cleanest capability discriminator.** Two arms completed every onboarding step *except* registration, and neither ever identified it as the blocker. - **Cost structure dominated spend.** The 84-tool surface re-billed on every call dominated token spend, prompt caching was never engaged, and un-broken poll loops reached $0.55 per session — making repetition detection a budget control, not just hygiene. - **Orientation speed and decision quality are different axes.** Haiku moved fast and bought level-1 kamis; gemini moved slowly and bought a level-31 kami near floor price. Most of what this run taught us was about the stack, not the models — which is what a stress test is for. ### What it changed in the stack Each learning above became a concrete change, and the whole bundle was pinned and re-measured by the next run: - **Legible pre-transaction validation** — environment interface v1.4.0 → v1.5.1. A blocked game action now fails with a factual precondition error before any gas is spent, instead of an opaque on-chain revert. Directly from the legibility finding and the registration blocker. - **A repetition breaker** — scaffold v0.2.0. Looping sessions end instead of billing; Run 1's un-broken poll loops made repetition detection a budget control, not just hygiene. - **Session caps and agent-chosen wake scheduling** — scaffold v0.2.0. Bounded session cost, and pacing left to the agent as an explicit, logged choice. - **Cache-aware budget accounting** — scaffold v0.2.0. Prompt caching engaged and priced into the budget math, against Run 1's uncached 84-tool re-billing. [Run 2 (Experiment 002)](https://kamibench.ai/experiments/002-stack-delta) re-ran this exact protocol with the same three models and the same $10 on that stack. Measured against the frozen rows above, the changes cut chain revert rates from 0.58 / 0.97 / 0.94 to 0.048 / 0.000 / 0.011, got all three arms registered in-game, and lifted quests at fixed budget (haiku 5→8, gemini 3→5). ## Layout ``` / ├── manifest.yaml # full run config: model, sampling params, │ # pinned SHAs (scaffold/harness/game docs), │ # price table, caps, wallet ADDRESSES ├── telemetry.jsonl # append-only scaffold event stream ├── transcripts/ │ └── session-NNNN.jsonl # full model context per session, as sent └── oracle/ ├── kami_action.jsonl # decoded on-chain game actions (ground truth) ├── raw_tx.jsonl # all txs from the run's wallets, incl. reverts └── README.md # per-arm extract provenance + coverage notes MANIFEST.json # sha256 + size for every file above ``` ## Schemas **Transcripts** — one JSONL file per session; one message per line, exactly as sent to the model (tool results post-truncation at 64 KB): - `{"role": "user", "text": ...}` — kickoff/continuation strings - `{"role": "assistant", "text": ..., "tool_calls": [{id, name, args}]}` - `{"role": "tool_result", "tool_call_id": ..., "content": ..., "is_error": bool}` **Telemetry** — one event per line; common fields `ts` (ISO-8601 UTC), `run_id`, `session`, `event`. Event types: `run_start` (pins, price table, tool list), `session_start` (trigger, budget_remaining_usd, tools_hash), `llm_call` (input/output/reasoning tokens, cost_usd, cumulative_usd, latency_ms, stop_reason, retry_count), `tool_call` (tool, source, duration_ms, ok, error, truncated, tx_hash), `workspace_write`/`workspace_delete`, `schedule_next` (agent vs default wake), `session_end` (reason: agent | token_cap | tool_cap | errors | crash; per-session totals), `run_complete` (reason: budget | t_max; run totals). Budget fields were never visible to the agents. **Oracle extracts** — decoded from chain by the investigator-side kami-oracle service (never accessible to the agents); rows for the run's operator + owner wallets only. `kami_action.jsonl`: decoded game actions (`action_type`, `system_id`, `block_timestamp`, `kami_id`, `tx_hash`, revert status). `raw_tx.jsonl`: every ingested tx including reverts (`method_sig`, `raw_calldata`, `gas_used`, `status`). Per-arm `oracle/README.md` records extraction time and coverage caveats. ## Provenance and integrity Everything is pinned in each arm's `manifest.yaml`: scaffold ([`tokedo/kami-agent`](https://github.com/tokedo/kami-agent)), environment interface ([`tokedo/kami-harness`](https://github.com/tokedo/kami-harness) v1.3.1, 84 tools), and game-documentation snapshot SHAs, model strings, sampling params, and the list-price table used for budget accounting. Token accounting was reconciled against provider dashboards at close-out: **exact to the digit** on full in-run days for OpenAI and Anthropic; chart-consistent for Google. Quest/purchase counts come from chain state, not self-report. `MANIFEST.json` carries sha256 for every file. ## Known caveats - `session-0001` transcripts are missing on **all three arms** — a launch-day infra abort (PATH defect in the cron environment), documented and excluded from behavior analysis. Telemetry covers the gap; sessions 2..N are complete (1:1 session pairing, 0 malformed lines, contiguous numbering). - One seed per arm — this is the calibration/smoke run (v0 baseline); it establishes the harness and the floor, not statistical claims. - The world is live and shared: other (human) players acted during the run window. Oracle extracts are scoped to the runs' wallets. - Wallet addresses appearing throughout are public by design; the wallets were temporary, swept, and retired at experiment close. - gemini's purchased Kami #891 could not be verified against the oracle's static table at close-out (coverage gap, noted in its oracle README). ## License and citation CC-BY-4.0. Citation entry TBD — see [kamibench.ai](https://kamibench.ai) for the current reference.