codenames duet bench

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The 400-word Codenames word list (as shipped in open-source clones like\n// jbowens/codenames). Codenames Duet uses the same base list. Individual\n// common words aren't copyrightable; used here for a personal benchmark.\nexport const WORDS: string[] = [\n \"AFRICA\", \"AGENT\", \"AIR\", \"ALIEN\", \"ALPS\", \"AMAZON\", \"AMBULANCE\", \"AMERICA\", \"ANGEL\", \"ANTARCTICA\",\n \"APPLE\", \"ARM\", \"ATLANTIS\", \"AUSTRALIA\", \"AZTEC\", \"BACK\", \"BALL\", \"BAND\", \"BANK\", \"BAR\",\n \"BARK\", \"BAT\", \"BATTERY\", \"BEACH\", \"BEAR\", \"BEAT\", \"BED\", \"BEIJING\", \"BELL\", \"BELT\",\n \"BERLIN\", \"BERMUDA\", \"BERRY\", \"BILL\", \"BLOCK\", \"BOARD\", \"BOLT\", \"BOMB\", \"BOND\", \"BOOM\",\n \"BOOT\", \"BOTTLE\", \"BOW\", \"BOX\", \"BRIDGE\", \"BRUSH\", \"BUCK\", \"BUFFALO\", \"BUG\", \"BUGLE\",\n \"BUTTON\", \"CALF\", \"CANADA\", \"CAP\", \"CAPITAL\", \"CAR\", \"CARD\", \"CARROT\", \"CASINO\", \"CAST\",\n \"CAT\", \"CELL\", \"CENTAUR\", \"CENTER\", \"CHAIR\", \"CHANGE\", \"CHARGE\", \"CHECK\", \"CHEST\", \"CHICK\",\n \"CHINA\", \"CHOCOLATE\", \"CHURCH\", \"CIRCLE\", \"CLIFF\", \"CLOAK\", \"CLUB\", \"CODE\", \"COLD\", \"COMIC\",\n \"COMPOUND\", \"CONCERT\", \"CONDUCTOR\", \"CONTRACT\", \"COOK\", \"COPPER\", \"COTTON\", \"COURT\", \"COVER\", \"CRANE\",\n \"CRASH\", \"CRICKET\", \"CROSS\", \"CROWN\", \"CYCLE\", \"CZECH\", \"DANCE\", \"DATE\", \"DAY\", \"DEATH\",\n \"DECK\", \"DEGREE\", \"DIAMOND\", \"DICE\", \"DINOSAUR\", \"DISEASE\", \"DOCTOR\", \"DOG\", \"DRAFT\", \"DRAGON\",\n \"DRESS\", \"DRILL\", \"DROP\", \"DUCK\", \"DWARF\", \"EAGLE\", \"EGYPT\", \"EMBASSY\", \"ENGINE\", \"ENGLAND\",\n \"EUROPE\", \"EYE\", \"FACE\", \"FAIR\", \"FALL\", \"FAN\", \"FENCE\", \"FIELD\", \"FIGHTER\", \"FIGURE\",\n \"FILE\", \"FILM\", \"FIRE\", \"FISH\", \"FLUTE\", \"FLY\", \"FOOT\", \"FORCE\", \"FOREST\", \"FORK\",\n \"FRANCE\", \"GAME\", \"GAS\", \"GENIUS\", \"GERMANY\", \"GHOST\", \"GIANT\", \"GLASS\", \"GLOVE\", \"GOLD\",\n \"GRACE\", \"GRASS\", \"GREECE\", \"GREEN\", \"GROUND\", \"HAM\", \"HAND\", \"HAWK\", \"HEAD\", \"HEART\",\n \"HELICOPTER\", \"HIMALAYAS\", \"HOLE\", \"HOLLYWOOD\", \"HONEY\", \"HOOD\", \"HOOK\", \"HORN\", \"HORSE\", \"HORSESHOE\",\n \"HOSPITAL\", \"HOTEL\", \"ICE\", \"ICE CREAM\", \"INDIA\", \"IRON\", \"IVORY\", \"JACK\", \"JAM\", \"JET\",\n \"JUPITER\", \"KANGAROO\", \"KETCHUP\", \"KEY\", \"KID\", \"KING\", \"KIWI\", \"KNIFE\", \"KNIGHT\", \"LAB\",\n \"LAP\", \"LASER\", \"LAWYER\", \"LEAD\", \"LEMON\", \"LEPRECHAUN\", \"LIFE\", \"LIGHT\", \"LIMOUSINE\", \"LINE\",\n \"LINK\", \"LION\", \"LITTER\", \"LOCH NESS\", \"LOCK\", \"LOG\", \"LONDON\", \"LUCK\", \"MAIL\", \"MAMMOTH\",\n \"MAPLE\", \"MARBLE\", \"MARCH\", \"MASS\", \"MATCH\", \"MERCURY\", \"MEXICO\", \"MICROSCOPE\", \"MILLIONAIRE\", \"MINE\",\n \"MINT\", \"MISSILE\", \"MODEL\", \"MOLE\", \"MOON\", \"MOSCOW\", \"MOUNT\", \"MOUSE\", \"MOUTH\", \"MUG\",\n \"NAIL\", \"NEEDLE\", \"NET\", \"NEW YORK\", \"NIGHT\", \"NINJA\", \"NOTE\", \"NOVEL\", \"NURSE\", \"NUT\",\n \"OCTOPUS\", \"OIL\", \"OLIVE\", \"OLYMPUS\", \"OPERA\", \"ORANGE\", \"ORGAN\", \"PALM\", \"PAN\", \"PANTS\",\n \"PAPER\", \"PARACHUTE\", \"PARK\", \"PART\", \"PASS\", \"PASTE\", \"PENGUIN\", \"PHOENIX\", \"PIANO\", \"PIE\",\n \"PILOT\", \"PIN\", \"PIPE\", \"PIRATE\", \"PISTOL\", \"PIT\", \"PITCH\", \"PLANE\", \"PLASTIC\", \"PLATE\",\n \"PLATYPUS\", \"PLAY\", \"PLOT\", \"POINT\", \"POISON\", \"POLE\", \"POLICE\", \"POOL\", \"PORT\", \"POST\",\n \"POUND\", \"PRESS\", \"PRINCESS\", \"PUMPKIN\", \"PUPIL\", \"PYRAMID\", \"QUEEN\", \"RABBIT\", \"RACKET\", \"RAY\",\n \"REVOLUTION\", \"RING\", \"ROBIN\", \"ROBOT\", \"ROCK\", \"ROME\", \"ROOT\", \"ROSE\", \"ROULETTE\", \"ROUND\",\n \"ROW\", \"RULER\", \"SATELLITE\", \"SATURN\", \"SCALE\", \"SCHOOL\", \"SCIENTIST\", \"SCORPION\", \"SCREEN\", \"SCUBA DIVER\",\n \"SEAL\", \"SERVER\", \"SHADOW\", \"SHAKESPEARE\", \"SHARK\", \"SHIP\", \"SHOE\", \"SHOP\", \"SHOT\", \"SINK\",\n \"SKYSCRAPER\", \"SLIP\", \"SLUG\", \"SMUGGLER\", \"SNOW\", \"SNOWMAN\", \"SOCK\", \"SOLDIER\", \"SOUL\", \"SOUND\",\n \"SPACE\", \"SPELL\", \"SPIDER\", \"SPIKE\", \"SPINE\", \"SPOT\", \"SPRING\", \"SPY\", \"SQUARE\", \"STADIUM\",\n \"STAFF\", \"STAR\", \"STATE\", \"STICK\", \"STOCK\", \"STRAW\", \"STREAM\", \"STRIKE\", \"STRING\", \"SUB\",\n \"SUIT\", \"SUPERHERO\", \"SWING\", \"SWITCH\", \"TABLE\", \"TABLET\", \"TAG\", \"TAIL\", \"TAP\", \"TEACHER\",\n \"TELESCOPE\", \"TEMPLE\", \"THEATER\", \"THIEF\", \"THUMB\", \"TICK\", \"TIE\", \"TIME\", \"TOKYO\", \"TOOTH\",\n \"TORCH\", \"TOWER\", \"TRACK\", \"TRAIN\", \"TRIANGLE\", \"TRIP\", \"TRUNK\", \"TUBE\", \"TURKEY\", \"UNDERTAKER\",\n \"UNICORN\", \"VACUUM\", \"VAN\", \"VET\", \"WAKE\", \"WALL\", \"WAR\", \"WASHER\", \"WASHINGTON\", \"WATCH\",\n \"WATER\", \"WAVE\", \"WEB\", \"WELL\", \"WHALE\", \"WHIP\", \"WIND\", \"WITCH\", \"WORM\", \"YARD\",\n];\n",[],[153,219],"efe3931d-147f-496c-8994-2bdf6ade1bdf","types.ts","e78e0c78-8898-11f1-a225-1607ee4eb77e",3,["D",1785032572637],"// Shared types for the Codenames Duet benchmark.\n\nexport type Cell = \"green\" | \"bystander\" | \"assassin\";\n\n/** Duet key card: 25 cells, each with a value per side. */\nexport interface KeyCard {\n a: Cell[];\n b: Cell[];\n}\n\nexport type Side = \"a\" | \"b\";\n\nexport interface ModelCfg {\n /** OpenRouter model id, e.g. \"anthropic/claude-haiku-4.5\" */\n id: string;\n label: string;\n /** OpenRouter unified reasoning param, e.g. { effort: \"low\" } */\n reasoning?: Record;\n maxTokens?: number;\n}\n\nexport interface LlmOut {\n text: string;\n reasoning: string | null;\n cost: number;\n tokensIn: number;\n tokensOut: number;\n}\n\nexport interface GuessRec {\n word: string;\n outcome: \"agent\" | \"bystander\" | \"assassin\";\n thinking?: string;\n reasoning?: string | null;\n cost: number;\n}\n\nexport interface TurnRec {\n turn: number;\n giver: Side;\n clue?: {\n word: string;\n number: number;\n thinking?: string;\n reasoning?: string | null;\n cost: number;\n };\n guesses: GuessRec[];\n stopped?: boolean;\n invalid?: string;\n error?: string;\n}\n\nexport interface GameState {\n seed: number;\n words: string[]; // 25\n key: KeyCard;\n covered: boolean[]; // found agents (global)\n /** marks.a[i] = word i was revealed as a bystander when judged against side A's key */\n marks: { a: boolean[]; b: boolean[] };\n turn: number; // 1..9\n nextGiver: Side;\n status: \"playing\" | \"won\" | \"lost_assassin\" | \"lost_timeout\" | \"error\";\n agentsFound: number;\n transcript: TurnRec[];\n cost: number;\n calls: number;\n tokensIn: number;\n tokensOut: number;\n errorMsg?: string;\n}\n",[],[153,227],["D",1785032563573],[211,212],[153],"2c991c99-175a-4a38-b0d4-f53c5fa39233","validate-models.ts","99efc64a-8899-11f1-bfb5-1607ee4eb77e",18,["D",1785032871893],"// Checks configured model ids against OpenRouter's live catalog + does one\n// tiny authed completion to confirm the API key works.\nimport { MODELS } from \"./config.ts\";\nimport { chat } from \"../engine/llm.ts\";\n\nconst r = await fetch(\"https://openrouter.ai/api/v1/models\");\nconst j = await r.json();\nconst byId = new Map((j.data ?? []).map((m: any) => [m.id, m]));\n\nfor (const [key, cfg] of Object.entries(MODELS)) {\n const m = byId.get(cfg.id);\n if (!m) {\n console.log(`MISSING ${key}: ${cfg.id}`);\n const stem = cfg.id.split(\"/\")[1]?.split(\"-\").slice(0, 2).join(\"-\") ?? cfg.id;\n const near = [...byId.keys()].filter((id) => id.includes(stem)).slice(0, 6);\n console.log(` nearby: ${near.join(\", \") || \"(none)\"}`);\n } else {\n const p = m.pricing ?? {};\n console.log(`OK ${key}: ${cfg.id} $${(Number(p.prompt) * 1e6).toFixed(2)}/M in, $${(Number(p.completion) * 1e6).toFixed(2)}/M out`);\n }\n}\n\nconst ping = await chat(MODELS.haiku, 'Reply with only this JSON: {\"ok\": true}');\nconsole.log(\"key ping:\", ping.text.slice(0, 60), `cost=$${ping.cost.toFixed(6)}`);\n",[],[159,238],"20e6de27-c68a-4f29-96c3-5f14da08c2d0","test-engine.ts","67c211f0-8899-11f1-b94d-1607ee4eb77e",16,["D",1785032856979],"// Offline sanity checks: key card distribution + full game loop with a stub LLM.\nimport { makeKeyCard, totalAgents } from \"../engine/keycard.ts\";\nimport { legalGuess, mulberry32, newGame, other, pickGiver } from \"../engine/game.ts\";\nimport { playTurn } from \"../engine/play.ts\";\nimport type { LlmOut, ModelCfg } from \"../shared/types.ts\";\n\n// 1) key card distribution over many seeds\nfor (let seed = 1; seed <= 300; seed++) {\n const k = makeKeyCard(mulberry32(seed));\n const count = (side: \"a\" | \"b\", c: string) => k[side].filter((x) => x === c).length;\n if (count(\"a\", \"green\") !== 9 || count(\"b\", \"green\") !== 9) throw new Error(\"green count wrong\");\n if (count(\"a\", \"assassin\") !== 3 || count(\"b\", \"assassin\") !== 3) throw new Error(\"assassin count wrong\");\n if (totalAgents(k) !== 15) throw new Error(\"total agents != 15\");\n const bothAssassin = k.a.filter((x, i) => x === \"assassin\" && k.b[i] === \"assassin\").length;\n if (bothAssassin !== 1) throw new Error(\"double assassin count wrong\");\n}\nconsole.log(\"keycard distribution OK (300 seeds)\");\n\n// 2) full-game loop with a stub chat: giver clues \"ZEBRA\", guesser guesses a random legal word then stops\nconst stub = (rng: () => number) => async (_m: ModelCfg, prompt: string): Promise => {\n const base = { reasoning: null, cost: 0.0001, tokensIn: 100, tokensOut: 20 };\n if (prompt.includes(\"You are the CLUE GIVER\")) {\n return { ...base, text: JSON.stringify({ thinking: \"stub clue\", clue: \"ZEBRA\", number: 2 }) };\n }\n // parse legal words crudely from state via global (we cheat: guess handled below)\n return { ...base, text: JSON.stringify({ thinking: \"stub guess\", guess: (globalThis as any).__nextGuess ?? \"STOP\" }) };\n};\n\nlet results = { won: 0, lost_assassin: 0, lost_timeout: 0, error: 0 };\nfor (let seed = 1; seed <= 20; seed++) {\n const s = newGame(seed);\n const rng = mulberry32(seed * 7 + 1);\n const chatFn = stub(rng);\n let hardStop = 0;\n while (s.status === \"playing\" && hardStop++ < 40) {\n const giver = pickGiver(s);\n // choose a random legal word for the stub guesser before the turn runs\n const legal = s.words.map((_, i) => i).filter((i) => legalGuess(s, giver, i));\n (globalThis as any).__nextGuess = legal.length ? s.words[legal[Math.floor(rng() * legal.length)]] : \"STOP\";\n await playTurn(s, { a: { id: \"stub\", label: \"stub\" }, b: { id: \"stub\", label: \"stub\" } }, chatFn);\n }\n if (s.status === \"playing\") throw new Error(\"game did not terminate\");\n results[s.status as keyof typeof results]++;\n if (s.transcript.length > 9) throw new Error(\"more than 9 turns recorded\");\n}\nconsole.log(\"stub games OK:\", JSON.stringify(results));\n",[],[159,246],"2dd4e8e2-9234-443f-98f4-66277a218de3","seed.ts","2cb754e4-8899-11f1-8e10-1607ee4eb77e",11,["D",1785032688655],"// Enqueue games for the current SEED_TIER / SEED_KEYS in runner/config.ts.\n// All unordered pairings (including self-pairs) x GAMES_PER_PAIRING.\n// Guards against double-seeding a tier.\nimport { init, sqlite } from \"../database/db.ts\";\nimport { newGame } from \"../engine/game.ts\";\nimport { GAMES_PER_PAIRING, MODELS, SEED_KEYS, SEED_TIER } from \"./config.ts\";\n\nawait init();\n\nconst existing = await sqlite.execute({\n sql: \"SELECT COUNT(*) AS c FROM games WHERE tier = ?\",\n args: [SEED_TIER],\n});\nif (Number(existing.rows[0].c) > 0) {\n console.log(`tier \"${SEED_TIER}\" already has ${existing.rows[0].c} games - not seeding again.`);\n} else {\n const pairs: Array<[string, string]> = [];\n for (let i = 0; i < SEED_KEYS.length; i++) {\n for (let j = i; j < SEED_KEYS.length; j++) pairs.push([SEED_KEYS[i], SEED_KEYS[j]]);\n }\n let inserted = 0;\n for (const [ka, kb] of pairs) {\n for (let g = 0; g < GAMES_PER_PAIRING; g++) {\n const seed = Math.floor(Math.random() * 2 ** 31);\n const state = newGame(seed);\n await sqlite.execute({\n sql: `INSERT INTO games (model_a, model_b, label_a, label_b, tier, seed, status, created_at, state)\n VALUES (?, ?, ?, ?, ?, ?, 'queued', ?, ?)`,\n args: [ka, kb, MODELS[ka].label, MODELS[kb].label, SEED_TIER, seed, new Date().toISOString(), JSON.stringify(state)],\n });\n inserted++;\n }\n }\n console.log(`seeded ${inserted} games across ${pairs.length} pairings (tier=${SEED_TIER})`);\n}\n",[],[159,254],"ac2739b0-dbd0-4cd7-9ca4-35dd3f17ca68","run-next.ts","3318414a-8899-11f1-8891-1607ee4eb77e",26,["D",1785033156609],"// Manual queue advance (short budget so MCP/tool runs return in time).\n// The cron in runner/cron.ts does the heavy lifting in the background.\nimport { drain } from \"./drain.ts\";\n\nawait drain(25_000, 3);\n",[],[159,262],"3ca9bad0-dd21-4284-8280-7a62ea8a15ed","list-free.ts","bc2d967e-8899-11f1-90d0-1607ee4eb77e",23,["D",1785032969028],"// List :free models on OpenRouter (candidates for a $0 bracket) + test one call.\nimport { chat } from \"../engine/llm.ts\";\n\nconst r = await fetch(\"https://openrouter.ai/api/v1/models\");\nconst j = await r.json();\nconst free = (j.data ?? []).filter((m: any) => m.id.endsWith(\":free\"));\nconsole.log(`free models: ${free.length}`);\nfor (const m of free) console.log(m.id, \"| ctx\", m.context_length);\n\n// probe: do free models respond despite the ~-$0.15 balance?\nfor (const id of [\"nvidia/nemotron-3-ultra-550b-a55b:free\", \"google/gemma-4-31b-it:free\", \"openai/gpt-oss-20b:free\", \"nvidia/nemotron-3-super-120b-a12b:free\"]) {\n try {\n const out = await chat({ id, label: id, maxTokens: 400 }, 'Reply with only this JSON: {\"ok\": true}');\n console.log(`PING OK ${id}:`, out.text.slice(0, 60).replaceAll(\"\\n\", \" \"), \"cost:\", out.cost);\n } catch (e) {\n console.log(`PING FAILED ${id}:`, String(e).slice(0, 200));\n }\n}\n",[],[159,270],"8874f9ff-e069-4f6b-a70f-848b4caa45a0","drain.ts","412306e8-889a-11f1-8f31-1607ee4eb77e",25,["D",1785033152415],"// Shared queue-drainer: advances queued/running games within a time budget.\n// State is saved after every turn, so interrupted runs resume cleanly.\nimport { finalize, init, saveState, sqlite } from \"../database/db.ts\";\nimport { playTurn } from \"../engine/play.ts\";\nimport { MODELS } from \"./config.ts\";\nimport type { GameState } from \"../shared/types.ts\";\n\nexport async function drain(budgetMs: number, concurrency = 3): Promise {\n const t0 = Date.now();\n await init();\n const rows = await sqlite.execute({\n sql: `SELECT id, model_a, model_b, state FROM games WHERE status IN ('queued','running') ORDER BY id LIMIT ?`,\n args: [concurrency],\n });\n if (rows.rows.length === 0) {\n console.log(\"QUEUE EMPTY\");\n } else {\n await Promise.all(rows.rows.map(async (r) => {\n const id = Number(r.id);\n const models = { a: MODELS[String(r.model_a)], b: MODELS[String(r.model_b)] };\n if (!models.a || !models.b) {\n console.log(`#${id}: unknown model key (${r.model_a}, ${r.model_b}) - marking error`);\n await sqlite.execute({ sql: `UPDATE games SET status='done', result='error' WHERE id=?`, args: [id] });\n return;\n }\n let s: GameState;\n try {\n s = JSON.parse(String(r.state));\n } catch (e) {\n console.log(`#${id}: bad state json: ${e}`);\n return;\n }\n while (s.status === \"playing\" && Date.now() - t0 < budgetMs) {\n await playTurn(s, models);\n await saveState(id, s);\n }\n if (s.status !== \"playing\") await finalize(id, s);\n console.log(\n `#${id} ${r.model_a}x${r.model_b}: ${s.status} agents=${s.agentsFound}/15 turns=${s.transcript.length} cost=$${s.cost.toFixed(4)}`,\n );\n }));\n }\n const left = await sqlite.execute(`SELECT COUNT(*) AS c FROM games WHERE status IN ('queued','running')`);\n const tot = await sqlite.execute(`SELECT COUNT(*) AS c, COALESCE(SUM(cost),0) AS cost FROM games`);\n console.log(\n `pending: ${left.rows[0].c} | total games: ${tot.rows[0].c} | total spend: $${Number(tot.rows[0].cost).toFixed(4)}`,\n );\n}\n",[],[159,278],"02fe93be-1f37-445d-92cc-5330aa730160","cron.ts","45efc940-889a-11f1-a4ba-1607ee4eb77e",27,["D",1785033160478],"interval","// Background worker: every minute, drains the game queue (no-op when empty).\nimport { drain } from \"./drain.ts\";\n\nexport default async function (interval: Interval) {\n await drain(52_000, 3);\n}\n",[],[159,286],"67790969-fcc0-4f97-9bd8-7fb6866ad372","config.ts","26a1ba5e-8899-11f1-b320-1607ee4eb77e",24,["D",1785032995765],"import type { ModelCfg } from \"../shared/types.ts\";\n\n// Short keys are what's stored in the DB; ids are OpenRouter model ids.\nexport const MODELS: Record = {\n // ---- free tier ($0 — runs even with the account balance spent) ----\n ultra: { id: \"nvidia/nemotron-3-ultra-550b-a55b:free\", label: \"Nemotron Ultra 550B\", maxTokens: 6000 },\n super: { id: \"nvidia/nemotron-3-super-120b-a12b:free\", label: \"Nemotron Super 120B\", maxTokens: 6000 },\n nano: { id: \"nvidia/nemotron-3-nano-30b-a3b:free\", label: \"Nemotron Nano 30B\", maxTokens: 6000 },\n gptoss: { id: \"openai/gpt-oss-20b:free\", label: \"GPT-OSS 20B\", maxTokens: 6000 },\n\n // ---- cheap paid tier (needs OpenRouter credits topped up) ----\n haiku: { id: \"anthropic/claude-haiku-4.5\", label: \"Haiku 4.5\" },\n gpt5mini: { id: \"openai/gpt-5-mini\", label: \"GPT-5 mini\", reasoning: { effort: \"low\" } },\n flash: { id: \"google/gemini-2.5-flash\", label: \"Gemini 2.5 Flash\" },\n deepseek: { id: \"deepseek/deepseek-chat-v3.1\", label: \"DeepSeek V3.1\" },\n\n // ---- premium paid tier ----\n sonnet: { id: \"anthropic/claude-sonnet-4.5\", label: \"Sonnet 4.5\" },\n gpt51: { id: \"openai/gpt-5.1\", label: \"GPT-5.1\", reasoning: { effort: \"low\" } },\n};\n\n// ---- seeding phase (edit + run runner/seed.ts) ----\nexport const SEED_TIER = \"pilot\";\nexport const SEED_KEYS: string[] = [\"ultra\"];\nexport const GAMES_PER_PAIRING = 1;\n",[],[159,295],"cf7d4bbe-9e0f-4674-a6cb-89488372e7af","check-credits.ts","a93ed1b8-8899-11f1-b37d-1607ee4eb77e",19,["D",1785032897552],"// Reports the OpenRouter key's usage/limits so we know the budget headroom.\nconst r = await fetch(\"https://openrouter.ai/api/v1/key\", {\n headers: { Authorization: `Bearer ${Deno.env.get(\"OPENROUTER_API_KEY\")}` },\n});\nconst j = await r.json();\nconsole.log(JSON.stringify(j, null, 2));\n\nconst c = await fetch(\"https://openrouter.ai/api/v1/credits\", {\n headers: { Authorization: `Bearer ${Deno.env.get(\"OPENROUTER_API_KEY\")}` },\n});\nconsole.log(JSON.stringify(await c.json(), null, 2));\n",[],[159,303],["D",1785032678458],[201,202,203,204,205,206,207,208,209],[159],"ae7593b0-75cf-4d74-8ea1-eb0f1c4e2d8f",["D",1785033217341],[],[28,44],["D",1785033217341],[199],[28],"8db642cb-b667-45cd-b3a9-971e98469320","prompts.ts","09be0168-8899-11f1-b8e2-1607ee4eb77e",6,["D",1785032629842],"import type { GameState, Side, TurnRec } from \"../shared/types.ts\";\nimport { other, remainingGreens, TOTAL_AGENTS, TOTAL_TURNS } from \"./game.ts\";\n\nfunction label(cell: string): string {\n return cell === \"green\" ? \"GREEN\" : cell === \"assassin\" ? \"ASSASSIN\" : \"NEUTRAL\";\n}\n\nfunction history(transcript: TurnRec[], me: Side): string {\n const done = transcript.filter((t) => t.clue || t.invalid);\n if (!done.length) return \"(no clues yet)\";\n return done\n .map((t) => {\n const who = t.giver === me ? \"You\" : \"Partner\";\n if (!t.clue) return `Clue ${t.turn}: ${who} failed to give a valid clue (turn forfeited).`;\n const gs = t.guesses.map((g) => `${g.word}=${g.outcome.toUpperCase()}`).join(\", \") || \"(no guesses)\";\n return `Clue ${t.turn}: ${who} gave \"${t.clue.word} ${t.clue.number}\" -> ${gs}${t.stopped ? \"; guesser stopped\" : \"\"}`;\n })\n .join(\"\\n\");\n}\n\nconst RULES_COMMON = `You are playing Codenames Duet, a fully cooperative word game, with a partner.\n- The board has 25 words. 15 of them are AGENTS in total; you win together if all 15 are found within ${TOTAL_TURNS} clues (total, shared between both of you).\n- Each player has their own secret key card side. On YOUR side, 9 words are GREEN (agents), 3 are ASSASSINS, 13 are NEUTRAL bystanders. Your partner's side is different: 3 of your greens are also green for them, and the sides overlap in tricky ways — a word that is green on one side can be neutral or even an ASSASSIN on the other.\n- When a clue is given, the guesser's guesses are judged against the CLUE GIVER's key: green = agent found (guesser may keep guessing), neutral = the turn ends harmlessly, ASSASSIN = you both lose instantly.`;\n\nexport function buildCluePrompt(s: GameState, giver: Side): string {\n const done = s.transcript.slice(0, -1); // current turn record is already pushed\n const opp = other(giver);\n const lines = s.words.map((w, i) => {\n if (s.covered[i]) return `${w} - FOUND (agent, done)`;\n const flags: string[] = [];\n if (s.marks[giver][i]) flags.push(\"already revealed NEUTRAL on your key; partner cannot guess it on your clues\");\n if (s.marks[opp][i]) flags.push(\"revealed NEUTRAL on partner's key (could still be anything on yours)\");\n return `${w} - your key: ${label(s.key[giver][i])}${flags.length ? ` (${flags.join(\"; \")})` : \"\"}`;\n }).join(\"\\n\");\n const mine = remainingGreens(s, giver).map((i) => s.words[i]).join(\", \") || \"(none)\";\n return `${RULES_COMMON}\n\nYou are the CLUE GIVER for clue ${s.turn} of ${TOTAL_TURNS}. Agents found so far: ${s.agentsFound}/${TOTAL_AGENTS}.\n\nYour clue must be exactly ONE word (not any word visible on the board, no board word as a substring trick) plus a NUMBER = how many board words relate to it. Your partner will then guess words one at a time; they may keep guessing as long as they keep hitting your greens, and may stop after at least one guess.\n\nSTRATEGY NOTES: connect as many of YOUR remaining green words as safely possible, and steer clear of anything that could pull your partner toward YOUR 3 assassins or neutrals. Your partner cannot see your key.\n\nBOARD (word - what YOUR key says):\n${lines}\n\nAgents still to find on YOUR key: ${mine}\nClues remaining including this one: ${TOTAL_TURNS - s.turn + 1}\n\nHISTORY:\n${history(done, giver)}\n\nRespond with ONLY a JSON object, no other text:\n{\"thinking\": \"your private reasoning\", \"clue\": \"ONEWORD\", \"number\": 2}`;\n}\n\nexport function buildGuessPrompt(\n s: GameState,\n giver: Side,\n current: TurnRec,\n canStop: boolean,\n): string {\n const guesser = other(giver);\n const done = s.transcript.slice(0, -1);\n const lines = s.words.map((w, i) => {\n if (s.covered[i]) return `${w} - FOUND (agent, cannot guess)`;\n const flags: string[] = [];\n if (s.marks[giver][i]) flags.push(\"revealed NEUTRAL against partner's key - ILLEGAL to guess on this clue\");\n if (s.marks[guesser][i]) flags.push(\"was NEUTRAL against YOUR key (still guessable - might be an agent on partner's key)\");\n return `${w} - your key: ${label(s.key[guesser][i])}${flags.length ? ` (${flags.join(\"; \")})` : \"\"}`;\n }).join(\"\\n\");\n const soFar = current.guesses.length\n ? current.guesses.map((g) => `${g.word} -> ${g.outcome.toUpperCase()}`).join(\", \")\n : \"(none yet)\";\n return `${RULES_COMMON}\n\nYou are the GUESSER. Your partner gave the clue: \"${current.clue!.word}\" for ${current.clue!.number}. This is clue ${s.turn} of ${TOTAL_TURNS}. Agents found so far: ${s.agentsFound}/${TOTAL_AGENTS}.\n\nYour guesses are judged against your PARTNER's key, which you CANNOT see. You DO see your own key below, but beware: a word that is GREEN on your key may be neutral or even the ASSASSIN on your partner's key (exactly one of your greens is your partner's assassin). A word that is ASSASSIN on your key might even be green on theirs. Hitting a NEUTRAL just ends the turn; hitting your partner's ASSASSIN loses the game instantly, so avoid words your partner probably wasn't pointing at.\n\nBOARD (word - what YOUR OWN key says):\n${lines}\n\nGuesses so far on THIS clue: ${soFar}\n${canStop ? 'You may guess again, or STOP to bank your progress.' : 'You MUST make at least one guess for this clue.'}\n\nHISTORY:\n${history(done, guesser)}\n\nRespond with ONLY a JSON object, no other text:\n{\"thinking\": \"your private reasoning\", \"guess\": \"BOARDWORD\"}${canStop ? ' or {\"thinking\": \"...\", \"guess\": \"STOP\"}' : \"\"}`;\n}\n",[],[168,321],"62d1a4f3-ab28-44b6-a189-95a52338d9b8","play.ts","1be9c502-8899-11f1-90af-1607ee4eb77e",8,["D",1785032660467],"import type { GameState, LlmOut, ModelCfg, Side, TurnRec } from \"../shared/types.ts\";\nimport { anyLegalGuess, applyGuess, endTurnBook, legalGuess, MAX_GUESSES_PER_TURN, other, pickGiver } from \"./game.ts\";\nimport { chat, extractJson } from \"./llm.ts\";\nimport { buildCluePrompt, buildGuessPrompt } from \"./prompts.ts\";\n\nexport type ChatFn = (model: ModelCfg, prompt: string) => Promise;\n\nfunction tally(s: GameState, out: LlmOut): void {\n s.cost += out.cost;\n s.calls++;\n s.tokensIn += out.tokensIn;\n s.tokensOut += out.tokensOut;\n}\n\n/** Plays exactly one clue turn (clue + guessing phase), mutating state. */\nexport async function playTurn(\n s: GameState,\n models: { a: ModelCfg; b: ModelCfg },\n chatFn: ChatFn = chat,\n): Promise {\n if (s.status !== \"playing\") return;\n const giver = pickGiver(s);\n const guesser: Side = other(giver);\n const rec: TurnRec = { turn: s.turn, giver, guesses: [] };\n s.transcript.push(rec);\n\n try {\n // ---- clue phase (up to 2 attempts) ----\n let clueCost = 0;\n for (let attempt = 0; attempt < 2 && !rec.clue; attempt++) {\n const p = buildCluePrompt(s, giver) +\n (attempt ? \"\\n\\nYour previous reply was invalid. The clue must be a single word that is NOT on the board, with an integer number. Respond with ONLY the JSON object.\" : \"\");\n const out = await chatFn(models[giver], p);\n tally(s, out);\n clueCost += out.cost;\n const j = extractJson(out.text);\n const w = String(j?.clue ?? \"\").trim().toUpperCase();\n const n = Number(j?.number);\n const onBoard = s.words.some((bw, i) => !s.covered[i] && bw.toUpperCase() === w);\n if (w && /^[A-Z][A-Z'&. -]*$/.test(w) && w.length <= 30 && !onBoard && Number.isFinite(n)) {\n rec.clue = {\n word: w,\n number: Math.max(0, Math.min(9, Math.round(n))),\n thinking: typeof j?.thinking === \"string\" ? j.thinking : undefined,\n reasoning: out.reasoning,\n cost: clueCost,\n };\n }\n }\n if (!rec.clue) {\n rec.invalid = \"could not produce a valid clue after 2 attempts\";\n endTurnBook(s, giver);\n return;\n }\n\n // ---- guessing phase ----\n while (s.status === \"playing\" && rec.guesses.length < MAX_GUESSES_PER_TURN) {\n if (!anyLegalGuess(s, giver)) break;\n const canStop = rec.guesses.length > 0;\n let idx = -1;\n let stop = false;\n let thinking: string | undefined;\n let reasoning: string | null = null;\n let gCost = 0;\n for (let attempt = 0; attempt < 2; attempt++) {\n const p = buildGuessPrompt(s, giver, rec, canStop) +\n (attempt\n ? `\\n\\nYour previous reply was invalid. Guess must be one unrevealed, legal board word${canStop ? ' or \"STOP\"' : \"\"}. Respond with ONLY the JSON object.`\n : \"\");\n const out = await chatFn(models[guesser], p);\n tally(s, out);\n gCost += out.cost;\n const j = extractJson(out.text);\n const gw = String(j?.guess ?? \"\").trim().toUpperCase();\n thinking = typeof j?.thinking === \"string\" ? j.thinking : thinking;\n reasoning = out.reasoning ?? reasoning;\n if (gw === \"STOP\" && canStop) {\n stop = true;\n break;\n }\n const found = s.words.findIndex((bw) => bw.toUpperCase() === gw);\n if (found >= 0 && legalGuess(s, giver, found)) {\n idx = found;\n break;\n }\n }\n if (stop) {\n rec.stopped = true;\n break;\n }\n if (idx < 0) {\n rec.error = (rec.error ? rec.error + \"; \" : \"\") + \"no legal guess produced\";\n break;\n }\n const outcome = applyGuess(s, giver, idx);\n rec.guesses.push({ word: s.words[idx], outcome, thinking, reasoning, cost: gCost });\n if (outcome !== \"agent\") break;\n }\n endTurnBook(s, giver);\n } catch (e) {\n rec.error = String(e).slice(0, 600);\n s.status = \"error\";\n s.errorMsg = rec.error;\n }\n}\n",[],[168,329],"0a96dcfa-ecb7-4bb1-b8b8-9b297c59356f","llm.ts","1174854e-8899-11f1-b138-1607ee4eb77e",22,["D",1785032961810],"import type { LlmOut, ModelCfg } from \"../shared/types.ts\";\n\nasync function chatOnce(model: ModelCfg, prompt: string): Promise {\n const body: Record = {\n model: model.id,\n messages: [{ role: \"user\", content: prompt }],\n max_tokens: model.maxTokens ?? 8000,\n usage: { include: true }, // OpenRouter returns exact cost in credits (USD)\n };\n if (model.reasoning) body.reasoning = model.reasoning;\n const ctrl = new AbortController();\n const t = setTimeout(() => ctrl.abort(), 110_000);\n try {\n const r = await fetch(\"https://openrouter.ai/api/v1/chat/completions\", {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${Deno.env.get(\"OPENROUTER_API_KEY\")}`,\n \"Content-Type\": \"application/json\",\n \"X-Title\": \"codenames-duet-bench\",\n \"HTTP-Referer\": \"https://www.val.town/x/dcm31/codenames-duet-bench\",\n },\n body: JSON.stringify(body),\n signal: ctrl.signal,\n });\n const j = await r.json();\n if (!r.ok || j.error) {\n throw new Error(`OpenRouter ${r.status} for ${model.id}: ${JSON.stringify(j.error ?? j).slice(0, 400)}`);\n }\n const m = j.choices?.[0]?.message ?? {};\n const text = typeof m.content === \"string\" ? m.content : JSON.stringify(m.content ?? \"\");\n return {\n text,\n reasoning: typeof m.reasoning === \"string\" && m.reasoning.trim() ? m.reasoning : null,\n cost: Number(j.usage?.cost ?? 0),\n tokensIn: Number(j.usage?.prompt_tokens ?? 0),\n tokensOut: Number(j.usage?.completion_tokens ?? 0),\n };\n } finally {\n clearTimeout(t);\n }\n}\n\n/** retries with backoff on transient failures (network blips, free-tier 429s) */\nexport async function chat(model: ModelCfg, prompt: string): Promise {\n const delays = [2500, 9000];\n for (let i = 0; ; i++) {\n try {\n return await chatOnce(model, prompt);\n } catch (e) {\n if (i >= delays.length) throw e;\n await new Promise((r) => setTimeout(r, delays[i]));\n }\n }\n}\n\n/** tolerant JSON extraction from model output */\nexport function extractJson(text: string): Record | null {\n const tryParse = (s: string) => {\n try {\n const v = JSON.parse(s);\n return v && typeof v === \"object\" ? v as Record : null;\n } catch {\n return null;\n }\n };\n const direct = tryParse(text.trim());\n if (direct) return direct;\n const fenced = text.match(/```(?:json)?\\s*([\\s\\S]*?)```/);\n if (fenced) {\n const v = tryParse(fenced[1].trim());\n if (v) return v;\n }\n const s = text.indexOf(\"{\");\n const e = text.lastIndexOf(\"}\");\n if (s >= 0 && e > s) return tryParse(text.slice(s, e + 1));\n return null;\n}\n",[],[168,337],"1b788f72-85d9-49c9-a879-a0701001575b","keycard.ts","f0aa6022-8898-11f1-a290-1607ee4eb77e",["D",1785032587913],"import type { Cell, KeyCard } from \"../shared/types.ts\";\n\n// Official Codenames Duet key card distribution over 25 words:\n// [sideA, sideB, count]\nconst DIST: Array<[Cell, Cell, number]> = [\n [\"green\", \"green\", 3],\n [\"green\", \"bystander\", 5],\n [\"bystander\", \"green\", 5],\n [\"green\", \"assassin\", 1],\n [\"assassin\", \"green\", 1],\n [\"assassin\", \"assassin\", 1],\n [\"assassin\", \"bystander\", 1],\n [\"bystander\", \"assassin\", 1],\n [\"bystander\", \"bystander\", 7],\n];\n// => each side sees 9 green / 3 assassin / 13 bystander; 15 unique agents total.\n\nexport function makeKeyCard(rng: () => number): KeyCard {\n const cells: Array<[Cell, Cell]> = [];\n for (const [a, b, n] of DIST) for (let i = 0; i < n; i++) cells.push([a, b]);\n for (let i = cells.length - 1; i > 0; i--) {\n const j = Math.floor(rng() * (i + 1));\n [cells[i], cells[j]] = [cells[j], cells[i]];\n }\n return { a: cells.map((c) => c[0]), b: cells.map((c) => c[1]) };\n}\n\nexport function totalAgents(key: KeyCard): number {\n let n = 0;\n for (let i = 0; i < 25; i++) if (key.a[i] === \"green\" || key.b[i] === \"green\") n++;\n return n; // always 15\n}\n",[],[168,345],"22551925-dde6-4f9b-8e06-a507033880c2","game.ts","f8e58118-8898-11f1-9e75-1607ee4eb77e",5,["D",1785032601730],"import { WORDS } from \"../shared/words.ts\";\nimport type { GameState, Side } from \"../shared/types.ts\";\nimport { makeKeyCard } from \"./keycard.ts\";\n\nexport const TOTAL_TURNS = 9;\nexport const TOTAL_AGENTS = 15;\nexport const MAX_GUESSES_PER_TURN = 8; // safety cap (Duet is unlimited-while-green)\n\n/** deterministic PRNG so games are reproducible from seed */\nexport function mulberry32(seed: number): () => number {\n let t = seed >>> 0;\n return function () {\n t += 0x6D2B79F5;\n let x = t;\n x = Math.imul(x ^ (x >>> 15), x | 1);\n x ^= x + Math.imul(x ^ (x >>> 7), x | 61);\n return ((x ^ (x >>> 14)) >>> 0) / 4294967296;\n };\n}\n\nexport function newGame(seed: number): GameState {\n const rng = mulberry32(seed);\n const pool = [...WORDS];\n for (let i = pool.length - 1; i > 0; i--) {\n const j = Math.floor(rng() * (i + 1));\n [pool[i], pool[j]] = [pool[j], pool[i]];\n }\n const words = pool.slice(0, 25);\n return {\n seed,\n words,\n key: makeKeyCard(rng),\n covered: Array(25).fill(false),\n marks: { a: Array(25).fill(false), b: Array(25).fill(false) },\n turn: 1,\n nextGiver: \"a\",\n status: \"playing\",\n agentsFound: 0,\n transcript: [],\n cost: 0,\n calls: 0,\n tokensIn: 0,\n tokensOut: 0,\n };\n}\n\nexport function other(s: Side): Side {\n return s === \"a\" ? \"b\" : \"a\";\n}\n\nexport function remainingGreens(s: GameState, side: Side): number[] {\n const out: number[] = [];\n for (let i = 0; i < 25; i++) {\n if (s.key[side][i] === \"green\" && !s.covered[i]) out.push(i);\n }\n return out;\n}\n\n/** Duet allows clues in any order; we alternate, but skip a giver with no agents left to clue. */\nexport function pickGiver(s: GameState): Side {\n if (remainingGreens(s, s.nextGiver).length > 0) return s.nextGiver;\n return other(s.nextGiver);\n}\n\n/** Guesses are always judged against the CLUE GIVER's key. */\nexport function applyGuess(s: GameState, giver: Side, idx: number): \"agent\" | \"bystander\" | \"assassin\" {\n const cell = s.key[giver][idx];\n if (cell === \"green\") {\n s.covered[idx] = true;\n s.agentsFound++;\n if (s.agentsFound >= TOTAL_AGENTS) s.status = \"won\";\n return \"agent\";\n }\n if (cell === \"assassin\") {\n s.status = \"lost_assassin\";\n return \"assassin\";\n }\n s.marks[giver][idx] = true;\n return \"bystander\";\n}\n\nexport function legalGuess(s: GameState, giver: Side, idx: number): boolean {\n return idx >= 0 && idx < 25 && !s.covered[idx] && !s.marks[giver][idx];\n}\n\nexport function anyLegalGuess(s: GameState, giver: Side): boolean {\n for (let i = 0; i < 25; i++) if (legalGuess(s, giver, i)) return true;\n return false;\n}\n\nexport function endTurnBook(s: GameState, giver: Side): void {\n s.nextGiver = other(giver);\n if (s.status === \"playing\") {\n if (s.turn >= TOTAL_TURNS) s.status = \"lost_timeout\";\n else s.turn++;\n }\n}\n",[],[168,352],["D",1785032587913],[193,194,195,196,197],[168],"3c0ead75-96fe-4032-8ac9-f6181cce4657","standings.ts","5d252592-889a-11f1-ba0a-1607ee4eb77e",28,["D",1785033199416],"// Aggregates done games into team (pairing) and per-model standings.\nimport { init, sqlite } from \"./db.ts\";\nimport type { GameState } from \"../shared/types.ts\";\n\nexport interface GameRow {\n id: number;\n model_a: string;\n model_b: string;\n label_a: string;\n label_b: string;\n tier: string;\n status: string;\n result: string | null;\n agents_found: number;\n turns_used: number;\n cost: number;\n calls: number;\n}\n\nexport async function standings() {\n await init();\n const res = await sqlite.execute(\n `SELECT id, model_a, model_b, label_a, label_b, tier, status, result, agents_found, turns_used, cost, calls, state\n FROM games ORDER BY id`,\n );\n\n const games: (GameRow & { state?: GameState })[] = res.rows.map((r: any) => ({\n id: Number(r.id),\n model_a: String(r.model_a),\n model_b: String(r.model_b),\n label_a: String(r.label_a),\n label_b: String(r.label_b),\n tier: String(r.tier),\n status: String(r.status),\n result: r.result == null ? null : String(r.result),\n agents_found: Number(r.agents_found),\n turns_used: Number(r.turns_used),\n cost: Number(r.cost),\n calls: Number(r.calls),\n state: r.state ? JSON.parse(String(r.state)) : undefined,\n }));\n\n const done = games.filter((g) => g.status === \"done\" && g.result && g.result !== \"error\");\n\n // ---- team standings (unordered pairing) ----\n type Team = {\n key: string; labels: [string, string]; keys: [string, string]; tier: string;\n games: number; wins: number; agents: number; turns: number; assassins: number; cost: number;\n gameList: { id: number; result: string; agents: number; turns: number; cost: number }[];\n };\n const teams = new Map();\n for (const g of done) {\n const [k1, k2] = [g.model_a, g.model_b].sort();\n const key = `${k1}|${k2}|${g.tier}`;\n if (!teams.has(key)) {\n const flip = k1 !== g.model_a;\n teams.set(key, {\n key,\n keys: [k1, k2],\n labels: flip ? [g.label_b, g.label_a] : [g.label_a, g.label_b],\n tier: g.tier,\n games: 0, wins: 0, agents: 0, turns: 0, assassins: 0, cost: 0, gameList: [],\n });\n }\n const t = teams.get(key)!;\n t.games++;\n if (g.result === \"won\") t.wins++;\n if (g.result === \"lost_assassin\") t.assassins++;\n t.agents += g.agents_found;\n t.turns += g.turns_used;\n t.cost += g.cost;\n t.gameList.push({ id: g.id, result: g.result!, agents: g.agents_found, turns: g.turns_used, cost: g.cost });\n }\n\n // ---- per-model standings ----\n type MStat = {\n key: string; label: string;\n games: number; wins: number; agents: number;\n cluesGiven: number; agentsPerClue: number;\n guesses: number; agentGuesses: number; assassinsHit: number;\n cost: number;\n };\n const models = new Map();\n const getM = (key: string, label: string): MStat => {\n if (!models.has(key)) {\n models.set(key, {\n key, label, games: 0, wins: 0, agents: 0,\n cluesGiven: 0, agentsPerClue: 0, guesses: 0, agentGuesses: 0, assassinsHit: 0, cost: 0,\n });\n }\n return models.get(key)!;\n };\n for (const g of done) {\n const parts = new Set([g.model_a, g.model_b]);\n for (const k of parts) {\n const m = getM(k, k === g.model_a ? g.label_a : g.label_b);\n m.games++;\n if (g.result === \"won\") m.wins++;\n m.agents += g.agents_found;\n }\n if (!g.state) continue;\n for (const t of g.state.transcript) {\n const giverKey = t.giver === \"a\" ? g.model_a : g.model_b;\n const guesserKey = t.giver === \"a\" ? g.model_b : g.model_a;\n if (t.clue) {\n const gm = getM(giverKey, giverKey === g.model_a ? g.label_a : g.label_b);\n gm.cluesGiven++;\n gm.agentsPerClue += t.guesses.filter((x) => x.outcome === \"agent\").length;\n gm.cost += t.clue.cost;\n }\n const um = getM(guesserKey, guesserKey === g.model_a ? g.label_a : g.label_b);\n for (const gu of t.guesses) {\n um.guesses++;\n if (gu.outcome === \"agent\") um.agentGuesses++;\n if (gu.outcome === \"assassin\") um.assassinsHit++;\n um.cost += gu.cost;\n }\n }\n }\n\n const teamRows = [...teams.values()]\n .map((t) => ({\n ...t,\n winRate: t.games ? t.wins / t.games : 0,\n avgAgents: t.games ? t.agents / t.games : 0,\n avgTurns: t.games ? t.turns / t.games : 0,\n }))\n .sort((x, y) => y.winRate - x.winRate || y.avgAgents - x.avgAgents);\n\n const modelRows = [...models.values()]\n .map((m) => ({\n ...m,\n winRate: m.games ? m.wins / m.games : 0,\n avgAgents: m.games ? m.agents / m.games : 0,\n clueYield: m.cluesGiven ? m.agentsPerClue / m.cluesGiven : 0,\n guessAcc: m.guesses ? m.agentGuesses / m.guesses : 0,\n }))\n .sort((x, y) => y.winRate - x.winRate || y.avgAgents - x.avgAgents);\n\n const pending = games.filter((g) => g.status !== \"done\").length;\n const totals = {\n games: games.length,\n done: done.length,\n pending,\n errors: games.filter((g) => g.result === \"error\").length,\n cost: games.reduce((s, g) => s + g.cost, 0),\n calls: games.reduce((s, g) => s + g.calls, 0),\n byTier: Object.fromEntries(\n [...new Set(games.map((g) => g.tier))].map((tier) => [\n tier,\n {\n games: games.filter((g) => g.tier === tier).length,\n cost: games.filter((g) => g.tier === tier).reduce((s, g) => s + g.cost, 0),\n },\n ]),\n ),\n };\n\n return { teams: teamRows, models: modelRows, totals };\n}\n",[],[174,363],"d1b773a6-3b07-4869-a491-060340921788","db.ts","21dab89a-8899-11f1-b138-1607ee4eb77e",["D",1785032670439],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport type { GameState } from \"../shared/types.ts\";\n\nexport { sqlite };\n\nexport async function init(): Promise {\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS games (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n model_a TEXT NOT NULL,\n model_b TEXT NOT NULL,\n label_a TEXT NOT NULL,\n label_b TEXT NOT NULL,\n tier TEXT NOT NULL,\n seed INTEGER NOT NULL,\n status TEXT NOT NULL DEFAULT 'queued',\n result TEXT,\n agents_found INTEGER DEFAULT 0,\n turns_used INTEGER DEFAULT 0,\n cost REAL DEFAULT 0,\n calls INTEGER DEFAULT 0,\n tokens_in INTEGER DEFAULT 0,\n tokens_out INTEGER DEFAULT 0,\n created_at TEXT NOT NULL,\n finished_at TEXT,\n state TEXT NOT NULL\n )`);\n}\n\nexport async function saveState(id: number, s: GameState): Promise {\n await sqlite.execute({\n sql: `UPDATE games SET status='running', state=?, agents_found=?, turns_used=?, cost=?, calls=?, tokens_in=?, tokens_out=? WHERE id=?`,\n args: [JSON.stringify(s), s.agentsFound, s.transcript.length, s.cost, s.calls, s.tokensIn, s.tokensOut, id],\n });\n}\n\nexport async function finalize(id: number, s: GameState): Promise {\n await sqlite.execute({\n sql: `UPDATE games SET status='done', result=?, state=?, agents_found=?, turns_used=?, cost=?, calls=?, tokens_in=?, tokens_out=?, finished_at=? WHERE id=?`,\n args: [\n s.status,\n JSON.stringify(s),\n s.agentsFound,\n s.transcript.length,\n s.cost,\n s.calls,\n s.tokensIn,\n s.tokensOut,\n new Date().toISOString(),\n id,\n ],\n });\n}\n",[],[174,371],["D",1785032670439],[190,191],[174],["D",1785032481089],["D",1789474853273],{"_104":103,"_112":108},{"_104":103,"_105":106,"_107":108,"_18":59,"_109":110,"_111":25},{"_13":93,"_32":94,"_47":40,"_95":48,"_96":-5,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":49,"_102":103},"ctx",{"_86":-5,"_132":418,"_419":420,"_421":422,"_423":25,"_424":25,"_425":25,"_426":63,"_427":-5,"_428":-7,"_429":-7,"_430":67,"_431":25,"_432":25,"_433":-5,"_434":25,"_435":25,"_436":25,"_437":-5},"ENV",{"_389":390,"_391":392,"_393":94,"_394":395,"_396":397,"_398":399,"_400":401,"_402":403,"_404":405,"_406":407,"_408":409,"_410":411,"_412":413,"_414":415,"_416":417},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v30