diff --git a/FINDINGS.md b/FINDINGS.md index d38b1137b..bd99230a5 100644 --- a/FINDINGS.md +++ b/FINDINGS.md @@ -3,7 +3,7 @@ **Status:** ⚠️ **VERDICT REVERSED — see correction below.** Originally ruled "dead"; live measurement shows pxpipe is a working *lossy gist-compressor* saving ~68% on real (dense) Claude Code traffic, with a known verbatim-recall gap. **Date:** 2026-05-28 (original) · 2026-05-29 (correction) · 2026-06-09 (Fable 5 update) · 2026-06-10 (gist-recall A/B, SWE-bench pilot) · 2026-06-12 (field observation, n=1) · 2026-06-23 (reframe: correct baseline = /compact) · 2026-07-09 (GPT-5.6 Sol raw-recall pilot) · 2026-07-19 (K/H glyph-surgery model-level A/B) **Models tested:** `claude-opus-4-5` (original run), `claude-opus-4-8` (re-test after a model bump), `claude-fable-5` (2026-06-09), `gpt-5.6-sol` (2026-07-09 raw-image pilot), `claude-opus-5` (2026-07-20 default-scope evaluation) -**Model scope (current):** Fable 5, **Opus 5**, and Gemini 3.6 Flash. Sol, GPT 5.5, and Grok remain explicit opt-ins. +**Model scope (current):** Fable 5, Gemini 3.6 Flash, and Gemini 3.7 Flash. Opus 5, Sol, GPT 5.5, and Grok remain explicit opt-ins. **Harnesses:** Claude/Opus/Fable: `eval/needle-haystack/` (older receipts preserved from `/tmp/needle_eval`); Sol: `eval/sol-profile/` (raw responses and receipts committed) --- diff --git a/README.md b/README.md index c1aad933d..6b9b483fc 100644 --- a/README.md +++ b/README.md @@ -125,7 +125,7 @@ without running the proxy. - **`claude-opus-5`:** weaker recall than Fable 5 (verbatim **2/15 vs 13/15**), good enough otherwise (100/100 arithmetic, 0/16 never-stated), **~4.7×** context before `/compact`. Suggested effort: **medium**. Details: [FINDINGS.md](FINDINGS.md). -- **Model scope:** default `PXPIPE_MODELS=claude-fable-5,gemini-3.6-flash`. Opus 5, Sol, GPT 5.5, +- **Model scope:** default `PXPIPE_MODELS=claude-fable-5,gemini-3.6-flash,gemini-3.7-flash`. Opus 5, Sol, GPT 5.5, and **Grok** are opt-in only (dashboard chips or `PXPIPE_MODELS`). The exact Sol id still matters. Sibling variants such as `gpt-5.6-terra` do not @@ -168,11 +168,12 @@ is confabulations, so lower is better. | model | arithmetic (N=100) | gist (N=98) | state (N=18) | never-stated (N=16) | dense hex (N=15) | profile provenance and receipts | | --- | ---: | ---: | ---: | ---: | ---: | --- | | `claude-fable-5` | **100/100** | **98/98** | **18/18** | **0/16** | 13/15 | June 2026 production profiles: [arithmetic + hex](FINDINGS.md), [gist/state/guards](eval/gist-recall/) | -| `google/gemini-3.6-flash` | **100/100** | **98/98** | **18/18** | **0/16** | **14/15** | current shipped profile: [quality results](eval/gemini-profile/QUALITY_RESULTS.md) | +| `google/gemini-3.6-flash`, `3.7-flash` | **100/100** | **98/98** | **18/18** | **0/16** | **14/15** | current shipped profile: [quality results](eval/gemini-profile/QUALITY_RESULTS.md) | | `claude-opus-5` | **100/100** | 94/98 | 17/18 | **0/16** | 2/15 | current profile: [arithmetic](eval/gsm8k/), [gist/state/guards](eval/gist-recall/), [dense hex](eval/verbatim-15/) | | `gpt-5.6-sol` | 98/100 | 83/98 | 17/18 | 4/16 | 0/15 | prior 5×8 broad suite; native 14px pilot: 7/8 exact, 0 inventions, gist/guard pass: [pilot](eval/sol-profile/README.md) | | `claude-opus-4-8` | 93/100 | 77/98 | **18/18** | **0/16** | 0/15 | historical profile: [arithmetic](eval/gsm8k/), [gist/state/guards](eval/gist-recall/), [dense hex](eval/needle-haystack/) | | `grok-4.5` | **100/100** | **97/98** | 17/18 | **0/16** | 0/15 | native 14px/84 quality suite (live profile); [quality](eval/grok-density/QUALITY_RESULTS.md), [native-sweep](eval/grok-density/native-sweep/RESULTS.md) | +| `grok-4.6` high | **100/100** | **97/98** | 17/18 | **0/16** | 0/15 | native 14px/84, reasoning high; [quality](eval/grok-profile/QUALITY_RESULTS.md) | | `moonshotai/kimi-k3` | 79/100 | 84/98 | 15/18 | 1/16 | 0/15 | generic GPT profile: [quality results](eval/sol-profile/KIMI_K3_QUALITY_RESULTS.md) | ### Native-profile cost check diff --git a/eval/gemini-profile/README.md b/eval/gemini-profile/README.md new file mode 100644 index 000000000..d5325265d --- /dev/null +++ b/eval/gemini-profile/README.md @@ -0,0 +1,28 @@ +# Gateway visual quality suite + +This suite evaluates Gemini image models exposed by the local Cloudflare AI Gateway. + +Confirmed model IDs: + +- `gemini-3.7-flash` via Google AI Studio + +There is no `gemini-4.7` in the gateway catalog. The similarly named +`workers-ai/@cf/zai-org/glm-4.7-flash` is GLM, not Gemini. Although its catalog +advertises attachments, its live endpoint rejects image input as non-multimodal. + +DeepSeek v4 is available as `workers-ai/@cf/deepseek-ai/deepseek-v4-flash` and +`workers-ai/@cf/deepseek-ai/deepseek-v4-pro`, but both are declared text-only. +The client rejects them instead of recording invalid image-reading scores. + +Build first, then run the same three quality checks used for Gemini 3.6: + +```bash +pnpm run build + +MODEL=gemini-3.7-flash LIVE=1 node eval/gemini-profile/novel-arithmetic.mjs +MODEL=gemini-3.7-flash LIVE=1 node eval/gemini-profile/gist-recall.mjs +MODEL=gemini-3.7-flash LIVE=1 node eval/gemini-profile/verbatim-hex.mjs + +``` + +Each run writes a model-qualified result file and does not overwrite the existing Gemini 3.6 receipts. diff --git a/eval/gemini-profile/gemini-client.mjs b/eval/gemini-profile/gemini-client.mjs index 431646769..e6cabf769 100644 --- a/eval/gemini-profile/gemini-client.mjs +++ b/eval/gemini-profile/gemini-client.mjs @@ -1,4 +1,15 @@ -// Dedicated Google AI Studio client for Gemini 3.6 Flash evaluations. +// Google AI Studio eval client through the local Cloudflare AI Gateway. + +function gatewayOrigin() { + const base = (process.env.OPENAI_BASE_URL || 'http://127.0.0.1:8082/v1').replace(/\/$/, ''); + return new URL(base).origin; +} + +export function resultFilename(base, model) { + const clean = model.replace(/^google\//, ''); + if (clean === 'gemini-3.6-flash') return `${base}-results.json`; + return `${base}-${clean.replace(/[^a-zA-Z0-9._-]+/g, '_')}-results.json`; +} export async function callGeminiRequest({ model = 'gemini-3.6-flash', request, maxOutputTokens = 1000, timeoutMs = 120000 }) { const key = process.env.OPENAI_API_KEY || process.env.GEMINI_API_KEY; @@ -7,8 +18,10 @@ export async function callGeminiRequest({ model = 'gemini-3.6-flash', request, m const controller = new AbortController(); const timer = setTimeout(() => controller.abort(), timeoutMs); const started = Date.now(); - const cleanModel = model.replace(/^google\//, '').replace(/^claude-/, ''); - const url = `http://127.0.0.1:47821/google-ai-studio/v1beta/models/${cleanModel}:generateContent`; + const cleanModel = model + .replace(/^google\//, '') + .replace(/[^a-zA-Z0-9._-]+/g, '_'); + const url = `${gatewayOrigin()}/google-ai-studio/v1beta/models/${cleanModel}:generateContent`; try { const response = await fetch(url, { diff --git a/eval/gemini-profile/gist-recall.mjs b/eval/gemini-profile/gist-recall.mjs index 7b68ee377..6c1140a57 100644 --- a/eval/gemini-profile/gist-recall.mjs +++ b/eval/gemini-profile/gist-recall.mjs @@ -5,7 +5,7 @@ import { fileURLToPath } from 'node:url'; import { renderTextToPngs } from '../../dist/core/render.js'; import { resolveGeminiProfile } from '../../dist/core/gemini-model-profiles.js'; import { factSheetText } from '../../dist/core/factsheet.js'; -import { callGemini } from './gemini-client.mjs'; +import { callGemini, resultFilename } from './gemini-client.mjs'; const HERE = dirname(fileURLToPath(import.meta.url)); const ROOT = join(HERE, '../gist-recall'); @@ -81,5 +81,5 @@ const out = { rows }; -writeFileSync(join(HERE, 'gist-recall-results.json'), JSON.stringify(out, null, 2)); +writeFileSync(join(HERE, resultFilename('gist-recall', MODEL)), JSON.stringify(out, null, 2)); console.log(JSON.stringify({ answerable: out.answerable, state: out.state, unanswerable: out.unanswerable }, null, 2)); diff --git a/eval/gemini-profile/novel-arithmetic.mjs b/eval/gemini-profile/novel-arithmetic.mjs index f2d1a5f96..0542f253f 100644 --- a/eval/gemini-profile/novel-arithmetic.mjs +++ b/eval/gemini-profile/novel-arithmetic.mjs @@ -6,7 +6,7 @@ import { renderTextToPngs } from '../../dist/core/render.js'; import { resolveGeminiProfile } from '../../dist/core/gemini-model-profiles.js'; import { factSheetText } from '../../dist/core/factsheet.js'; import { visionTokensForModel } from '../../dist/core/openai.js'; -import { callGemini } from './gemini-client.mjs'; +import { callGemini, resultFilename } from './gemini-client.mjs'; const HERE = dirname(fileURLToPath(import.meta.url)); const MODEL = process.env.MODEL || 'gemini-3.6-flash'; @@ -16,7 +16,7 @@ const SEED = Number(process.env.SEED || 20260711); const CONCURRENCY = Math.max(1, Number(process.env.CONCURRENCY || 5)); const TIMEOUT = Number(process.env.TIMEOUT_MS || 180000); const profile = resolveGeminiProfile(); -const RESULT = join(HERE, `novel-arithmetic-results.json`); +const RESULT = join(HERE, resultFilename('novel-arithmetic', MODEL)); function lcg(seed) { let s = seed >>> 0; return () => s = (Math.imul(s, 1664525) + 1013904223) >>> 0; } function ri(r, a, b) { return a + (r() % (b - a + 1)); } diff --git a/eval/gemini-profile/verbatim-hex.mjs b/eval/gemini-profile/verbatim-hex.mjs index 260a60c32..7c15a2634 100644 --- a/eval/gemini-profile/verbatim-hex.mjs +++ b/eval/gemini-profile/verbatim-hex.mjs @@ -2,7 +2,7 @@ import { readFileSync, writeFileSync } from 'node:fs'; import { dirname, join } from 'node:path'; import { fileURLToPath } from 'node:url'; -import { callGemini } from './gemini-client.mjs'; +import { callGemini, resultFilename } from './gemini-client.mjs'; import { renderTextToPngs } from '../../dist/core/render.js'; import { resolveGeminiProfile } from '../../dist/core/gemini-model-profiles.js'; @@ -13,7 +13,7 @@ const LIVE = process.env.LIVE === '1'; const TIMEOUT = Number(process.env.TIMEOUT_MS || 90000); const MAX_OUTPUT_TOKENS = Number(process.env.MAX_OUTPUT_TOKENS || 80); const trials = JSON.parse(readFileSync(join(ROOT, 'golds.json'), 'utf8')); -const RESULT = join(HERE, 'verbatim-hex-results.json'); +const RESULT = join(HERE, resultFilename('verbatim-hex', MODEL)); const profile = resolveGeminiProfile(); function denseLog(trial, totalLines = 80) { diff --git a/eval/grok-profile/QUALITY_RESULTS.md b/eval/grok-profile/QUALITY_RESULTS.md new file mode 100644 index 000000000..5ad91235a --- /dev/null +++ b/eval/grok-profile/QUALITY_RESULTS.md @@ -0,0 +1,34 @@ +# Grok 4.6 quality results + +Model: `grok-4.6` through the Codex Responses provider, `reasoning.effort=high`. +Image calls bypassed pxpipe (`OPENAI_BASE_URL` upstream, port 47821 rejected) +and used the **live production profile** resolved by `resolveGptProfile('grok-4.6')`. + +## Native 14px / 84 cols / maxH 512, reasoning high (2026-08-13) + +Recipe locked in each receipt: `font=jetbrains-mono-14`, `cols=84`, `maxH=512`, +factsheet on, `reasoningEffort=high`. + +| test | text | production image | notes | +|---|---:|---:|---| +| novel arithmetic, N=100 | 100/100 | **100/100** | pure image also 100/100 | +| gist recall | — | **97/98** | work3 s4 final `BATCH_WINDOW_MS` 4000 vs gold 4800 | +| state tracking | — | **17/18** | same miss as gist | +| never-stated guards | — | **0/16** confabulated | lower is better | +| dense 12-char hex | — | **0/15** | all 15 completed; still byte-unsafe | + +Same scores as `grok-4.5` on this corpus. Dense hex remains 0. + +Receipts: + +- `novel-arithmetic-grok-4.6-results.json` +- `gist-recall-grok-4.6-results.json` +- `verbatim-hex-grok-4.6-results.json` + +```bash +export OPENAI_BASE_URL=http://127.0.0.1:8082/v1 +export OPENAI_API_KEY=… +GROK_QUALITY_LIVE=1 N=100 node eval/grok-profile/novel-arithmetic.mjs +GROK_QUALITY_LIVE=1 node eval/grok-profile/gist-recall.mjs +GROK_QUALITY_LIVE=1 node eval/grok-profile/verbatim-hex.mjs +``` diff --git a/eval/grok-profile/gist-recall-grok-4.6-results.json b/eval/grok-profile/gist-recall-grok-4.6-results.json new file mode 100644 index 000000000..b8ca4e234 --- /dev/null +++ b/eval/grok-profile/gist-recall-grok-4.6-results.json @@ -0,0 +1,3346 @@ +{ + "generatedAt": "2026-08-13T14:59:27.825Z", + "model": "grok-4.6", + "live": true, + "recipe": { + "cols": 84, + "maxH": 512, + "style": { + "font": "jetbrains-mono-14", + "cellWBonus": 0, + "cellHBonus": 0, + "aa": true, + "grid": false, + "gridCols": 0, + "colorCycle": false, + "markerScale": 1, + "markerRed": false, + "inkDilate": 0 + }, + "factsheet": true, + "reasoningEffort": "high" + }, + "answerable": { + "correct": 97, + "completed": 98, + "n": 98 + }, + "state": { + "correct": 17, + "completed": 18, + "n": 18 + }, + "unanswerable": { + "confabulated": 0, + "completed": 16, + "n": 16 + }, + "rows": [ + { + "tier": "work", + "session": 0, + "type": "decision", + "q": "Which package was chosen for the store layer?", + "gold": "mobx", + "answer": "mobx", + "ok": true, + "raw": "[\"mobx\", \"7880\", \"src/batcher/core.ts\", \"Tobias Okafor\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5849, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 1020, + "output_tokens_details": { + "reasoning_tokens": 990 + }, + "total_tokens": 6869, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 176260000, + "context_details": { + "input_tokens": 5849, + "output_tokens": 1020 + } + } + }, + { + "tier": "work", + "session": 0, + "type": "numeric", + "q": "What exact value in ms was the retry budget set to?", + "gold": "7880", + "answer": "7880", + "ok": true, + "raw": "[\"mobx\", \"7880\", \"src/batcher/core.ts\", \"Tobias Okafor\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5849, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 1020, + "output_tokens_details": { + "reasoning_tokens": 990 + }, + "total_tokens": 6869, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 176260000, + "context_details": { + "input_tokens": 5849, + "output_tokens": 1020 + } + } + }, + { + "tier": "work", + "session": 0, + "type": "path", + "q": "In which file path was the double-flush race found?", + "gold": "src/batcher/core.ts", + "answer": "src/batcher/core.ts", + "ok": true, + "raw": "[\"mobx\", \"7880\", \"src/batcher/core.ts\", \"Tobias Okafor\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5849, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 1020, + "output_tokens_details": { + "reasoning_tokens": 990 + }, + "total_tokens": 6869, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 176260000, + "context_details": { + "input_tokens": 5849, + "output_tokens": 1020 + } + } + }, + { + "tier": "work", + "session": 0, + "type": "name", + "q": "Who was named as the on-call reviewer for the PR?", + "gold": "Tobias Okafor", + "answer": "Tobias Okafor", + "ok": true, + "raw": "[\"mobx\", \"7880\", \"src/batcher/core.ts\", \"Tobias Okafor\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5849, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 1020, + "output_tokens_details": { + "reasoning_tokens": 990 + }, + "total_tokens": 6869, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 176260000, + "context_details": { + "input_tokens": 5849, + "output_tokens": 1020 + } + } + }, + { + "tier": "work", + "session": 0, + "type": "negation", + "q": "Was LEGACY_PINS enabled in prod? Answer ENABLED or OFF.", + "gold": "OFF", + "answer": "OFF", + "ok": true, + "raw": "[\"mobx\", \"7880\", \"src/batcher/core.ts\", \"Tobias Okafor\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5849, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 1020, + "output_tokens_details": { + "reasoning_tokens": 990 + }, + "total_tokens": 6869, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 176260000, + "context_details": { + "input_tokens": 5849, + "output_tokens": 1020 + } + } + }, + { + "tier": "work", + "session": 0, + "type": "unanswerable", + "q": "Which database migration version was rolled back?", + "gold": "UNKNOWN", + "answer": "UNKNOWN", + "ok": true, + "raw": "[\"mobx\", \"7880\", \"src/batcher/core.ts\", \"Tobias Okafor\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5849, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 1020, + "output_tokens_details": { + "reasoning_tokens": 990 + }, + "total_tokens": 6869, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 176260000, + "context_details": { + "input_tokens": 5849, + "output_tokens": 1020 + } + } + }, + { + "tier": "work", + "session": 1, + "type": "decision", + "q": "Which package was chosen for the store layer?", + "gold": "xstate", + "answer": "xstate", + "ok": true, + "raw": "[\"xstate\", \"3480\", \"src/cursor/sync.ts\", \"Farid Moreau\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5724, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 557, + "output_tokens_details": { + "reasoning_tokens": 529 + }, + "total_tokens": 6281, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 145980000, + "context_details": { + "input_tokens": 5724, + "output_tokens": 557 + } + } + }, + { + "tier": "work", + "session": 1, + "type": "numeric", + "q": "What exact value in ms was the retry budget set to?", + "gold": "3480", + "answer": "3480", + "ok": true, + "raw": "[\"xstate\", \"3480\", \"src/cursor/sync.ts\", \"Farid Moreau\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5724, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 557, + "output_tokens_details": { + "reasoning_tokens": 529 + }, + "total_tokens": 6281, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 145980000, + "context_details": { + "input_tokens": 5724, + "output_tokens": 557 + } + } + }, + { + "tier": "work", + "session": 1, + "type": "path", + "q": "In which file path was the double-flush race found?", + "gold": "src/cursor/sync.ts", + "answer": "src/cursor/sync.ts", + "ok": true, + "raw": "[\"xstate\", \"3480\", \"src/cursor/sync.ts\", \"Farid Moreau\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5724, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 557, + "output_tokens_details": { + "reasoning_tokens": 529 + }, + "total_tokens": 6281, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 145980000, + "context_details": { + "input_tokens": 5724, + "output_tokens": 557 + } + } + }, + { + "tier": "work", + "session": 1, + "type": "name", + "q": "Who was named as the on-call reviewer for the PR?", + "gold": "Farid Moreau", + "answer": "Farid Moreau", + "ok": true, + "raw": "[\"xstate\", \"3480\", \"src/cursor/sync.ts\", \"Farid Moreau\", \"OFF\", \"UNKNOWN\"]", + "error": null, + "usage": { + "input_tokens": 5724, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 557, + "output_tokens_details": { + "reasoning_tokens": 529 + }, + "total_tokens": 6281, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 145980000, + "context_details": { + "input_tokens": 5724, + "output_tokens": 557 + } + } + }, + { + "tier": "work", + "session": 1, + "type": "negation", + "q": "Was LEGACY_PINS enabled in prod? 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'').trim().toLowerCase().replace(/\s+/g, ' '); } +function correct(p, a) { + const x = norm(a), g = norm(p.gold); + if (p.type === 'unanswerable') return x === 'unknown'; + if (p.type === 'numeric') return new RegExp(`(?:^|\\D)${g}(?:\\D|$)`).test(x); + if (p.type === 'negation') return x.includes('off') && !x.includes('enabled'); + return x.includes(g); +} + +const rows = []; +for (const [dir, n] of TIERS) { + const probes = JSON.parse(readFileSync(join(ROOT, dir, 'probes.json'), 'utf8')); + for (let sid = 0; sid < n; sid++) { + const ps = probes.filter((p) => p.session === sid); + const source = readFileSync(join(ROOT, dir, `s${sid}.txt`), 'utf8'); + const imgs = await renderTextToPngs(source, profile.stripCols, profile.style, profile.maxHeightPx); + const prompt = [ + 'Read all transcript images in order. Answer every numbered question.', + 'If the transcript does not contain an answer, use exactly UNKNOWN.', + 'Return only a JSON array of strings in question order.', + ...ps.map((p, i) => `${i + 1}. ${p.q}`), + ].join('\n'); + let response = { output: '', usage: null }; + if (LIVE) { + const content = imgs.map((im) => ({ type: 'input_image', image_url: `data:image/png;base64,${Buffer.from(im.png).toString('base64')}`, detail: 'original' })); + const fs = factSheetText(source, profile.factSheetFormat); + if (fs) content.push({ type: 'input_text', text: fs }); + content.push({ type: 'input_text', text: prompt }); + try { + const r = await callResponses({ model: MODEL, content, maxOutputTokens: MAX_OUTPUT_TOKENS, timeoutMs: TIMEOUT }); + response = { output: r.text, usage: r.usage }; + } catch (e) { + response = { output: '', usage: null, error: String(e) }; + } + } + const answers = parse(response.output) || []; + ps.forEach((p, i) => rows.push({ tier: dir, session: sid, ...p, answer: String(answers[i] ?? ''), ok: correct(p, answers[i]), raw: response.output, error: response.error || null, usage: response.usage })); + console.log(`${dir} s${sid}: ${ps.filter((p, i) => correct(p, answers[i])).length}/${ps.length}`); + } +} + +if (!LIVE) { + console.log('dry run only; no receipt written'); + process.exit(0); +} + +const answerable = rows.filter((r) => r.type !== 'unanswerable'); +const guards = rows.filter((r) => r.type === 'unanswerable'); +const state = rows.filter((r) => r.tier === 'work3'); +const done = (xs) => xs.filter((r) => !r.error); +const out = { + generatedAt: new Date().toISOString(), + model: MODEL, + live: LIVE, + recipe: { cols: profile.stripCols, maxH: profile.maxHeightPx, style: profile.style, factsheet: true, reasoningEffort: REASONING_EFFORT }, + answerable: { correct: done(answerable).filter((r) => r.ok).length, completed: done(answerable).length, n: answerable.length }, + state: { correct: done(state).filter((r) => r.ok).length, completed: done(state).length, n: state.length }, + unanswerable: { confabulated: done(guards).filter((r) => !r.ok).length, completed: done(guards).length, n: guards.length }, + rows, +}; +writeFileSync(join(HERE, `gist-recall-${MODEL.replace(/[^a-zA-Z0-9._-]+/g, '_')}-results.json`), JSON.stringify(out, null, 2)); +console.log(JSON.stringify({ answerable: out.answerable, state: out.state, unanswerable: out.unanswerable }, null, 2)); diff --git a/eval/grok-profile/novel-arithmetic-grok-4.6-results.json b/eval/grok-profile/novel-arithmetic-grok-4.6-results.json new file mode 100644 index 000000000..639645927 --- /dev/null +++ b/eval/grok-profile/novel-arithmetic-grok-4.6-results.json @@ -0,0 +1,7038 @@ +{ + "generatedAt": "2026-08-13T14:53:37.891Z", + "model": "grok-4.6", + "live": true, + "n": 100, + "seed": 20260711, + "recipe": { + "cols": 84, + "maxH": 512, + "style": { + "font": "jetbrains-mono-14", + "cellWBonus": 0, + "cellHBonus": 0, + "aa": true, + "grid": false, + "gridCols": 0, + "colorCycle": false, + "markerScale": 1, + "markerRed": false, + "inkDilate": 0 + }, + "factsheet": true, + "reasoningEffort": "high" + }, + "textCorrect": 100, + "pureCorrect": 100, + "prodCorrect": 100, + "textPct": 100, + "purePct": 100, + "prodPct": 100, + "inputTokens": { + "text": 25400, + "pure": 28500, + "production": 29500 + }, + "rows": [ + { + "i": 0, + "kind": 2, + "question": "A warehouse has 85 shelves, each holding 59 boxes, plus 987 loose boxes. 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How many boxes are there in total?", + "answer": 3077, + "imageTokens": 31, + "textGot": 3077, + "pureGot": 3077, + "prodGot": 3077, + "textOk": true, + "pureOk": true, + "prodOk": true, + "textUsage": { + "input_tokens": 254, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 431, + "output_tokens_details": { + "reasoning_tokens": 399 + }, + "total_tokens": 685, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 29020000, + "context_details": { + "input_tokens": 254, + "output_tokens": 431 + } + }, + "pureUsage": { + "input_tokens": 285, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 455, + "output_tokens_details": { + "reasoning_tokens": 407 + }, + "total_tokens": 740, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 31080000, + "context_details": { + "input_tokens": 285, + "output_tokens": 455 + } + }, + "prodUsage": { + "input_tokens": 295, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 283, + "output_tokens_details": { + "reasoning_tokens": 222 + }, + "total_tokens": 578, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 20960000, + "context_details": { + "input_tokens": 295, + "output_tokens": 283 + } + }, + "textError": null, + "pureError": null, + "prodError": null + }, + { + "i": 94, + "kind": 2, + "question": "A warehouse has 49 shelves, each holding 58 boxes, plus 791 loose boxes. How many boxes are there in total?", + "answer": 3633, + "imageTokens": 31, + "textGot": 3633, + "pureGot": 3633, + "prodGot": 3633, + "textOk": true, + "pureOk": true, + "prodOk": true, + "textUsage": { + "input_tokens": 254, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 201, + "output_tokens_details": { + "reasoning_tokens": 169 + }, + "total_tokens": 455, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 15220000, + "context_details": { + "input_tokens": 254, + "output_tokens": 201 + } + }, + "pureUsage": { + "input_tokens": 285, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 228, + "output_tokens_details": { + "reasoning_tokens": 188 + }, + "total_tokens": 513, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 17460000, + "context_details": { + "input_tokens": 285, + "output_tokens": 228 + } + }, + "prodUsage": { + "input_tokens": 295, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 387, + "output_tokens_details": { + "reasoning_tokens": 349 + }, + "total_tokens": 682, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 27200000, + "context_details": { + "input_tokens": 295, + "output_tokens": 387 + } + }, + "textError": null, + "pureError": null, + "prodError": null + }, + { + "i": 95, + "kind": 2, + "question": "A warehouse has 73 shelves, each holding 58 boxes, plus 687 loose boxes. How many boxes are there in total?", + "answer": 4921, + "imageTokens": 31, + "textGot": 4921, + "pureGot": 4921, + "prodGot": 4921, + "textOk": true, + "pureOk": true, + "prodOk": true, + "textUsage": { + "input_tokens": 254, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 349, + "output_tokens_details": { + "reasoning_tokens": 317 + }, + "total_tokens": 603, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 24100000, + "context_details": { + "input_tokens": 254, + "output_tokens": 349 + } + }, + "pureUsage": { + "input_tokens": 285, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 294, + "output_tokens_details": { + "reasoning_tokens": 241 + }, + "total_tokens": 579, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 21420000, + "context_details": { + "input_tokens": 285, + "output_tokens": 294 + } + }, + "prodUsage": { + "input_tokens": 295, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 449, + "output_tokens_details": { + "reasoning_tokens": 390 + }, + "total_tokens": 744, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 30920000, + "context_details": { + "input_tokens": 295, + "output_tokens": 449 + } + }, + "textError": null, + "pureError": null, + "prodError": null + }, + { + "i": 96, + "kind": 2, + "question": "A warehouse has 58 shelves, each holding 73 boxes, plus 835 loose boxes. How many boxes are there in total?", + "answer": 5069, + "imageTokens": 31, + "textGot": 5069, + "pureGot": 5069, + "prodGot": 5069, + "textOk": true, + "pureOk": true, + "prodOk": true, + "textUsage": { + "input_tokens": 254, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 316, + "output_tokens_details": { + "reasoning_tokens": 274 + }, + "total_tokens": 570, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 22120000, + "context_details": { + "input_tokens": 254, + "output_tokens": 316 + } + }, + "pureUsage": { + "input_tokens": 285, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 231, + "output_tokens_details": { + "reasoning_tokens": 171 + }, + "total_tokens": 516, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 17640000, + "context_details": { + "input_tokens": 285, + "output_tokens": 231 + } + }, + "prodUsage": { + "input_tokens": 295, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 325, + "output_tokens_details": { + "reasoning_tokens": 225 + }, + "total_tokens": 620, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 23480000, + "context_details": { + "input_tokens": 295, + "output_tokens": 325 + } + }, + "textError": null, + "pureError": null, + "prodError": null + }, + { + "i": 97, + "kind": 2, + "question": "A warehouse has 61 shelves, each holding 39 boxes, plus 383 loose boxes. How many boxes are there in total?", + "answer": 2762, + "imageTokens": 31, + "textGot": 2762, + "pureGot": 2762, + "prodGot": 2762, + "textOk": true, + "pureOk": true, + "prodOk": true, + "textUsage": { + "input_tokens": 254, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 323, + "output_tokens_details": { + "reasoning_tokens": 294 + }, + "total_tokens": 577, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 22540000, + "context_details": { + "input_tokens": 254, + "output_tokens": 323 + } + }, + "pureUsage": { + "input_tokens": 285, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 285, + "output_tokens_details": { + "reasoning_tokens": 245 + }, + "total_tokens": 570, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 20880000, + "context_details": { + "input_tokens": 285, + "output_tokens": 285 + } + }, + "prodUsage": { + "input_tokens": 295, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 345, + "output_tokens_details": { + "reasoning_tokens": 295 + }, + "total_tokens": 640, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 24680000, + "context_details": { + "input_tokens": 295, + "output_tokens": 345 + } + }, + "textError": null, + "pureError": null, + "prodError": null + }, + { + "i": 98, + "kind": 2, + "question": "A warehouse has 44 shelves, each holding 98 boxes, plus 347 loose boxes. How many boxes are there in total?", + "answer": 4659, + "imageTokens": 31, + "textGot": 4659, + "pureGot": 4659, + "prodGot": 4659, + "textOk": true, + "pureOk": true, + "prodOk": true, + "textUsage": { + "input_tokens": 254, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 315, + "output_tokens_details": { + "reasoning_tokens": 283 + }, + "total_tokens": 569, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 22060000, + "context_details": { + "input_tokens": 254, + "output_tokens": 315 + } + }, + "pureUsage": { + "input_tokens": 285, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 213, + "output_tokens_details": { + "reasoning_tokens": 171 + }, + "total_tokens": 498, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 16560000, + "context_details": { + "input_tokens": 285, + "output_tokens": 213 + } + }, + "prodUsage": { + "input_tokens": 295, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 281, + "output_tokens_details": { + "reasoning_tokens": 244 + }, + "total_tokens": 576, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 20840000, + "context_details": { + "input_tokens": 295, + "output_tokens": 281 + } + }, + "textError": null, + "pureError": null, + "prodError": null + }, + { + "i": 99, + "kind": 2, + "question": "A warehouse has 64 shelves, each holding 98 boxes, plus 867 loose boxes. How many boxes are there in total?", + "answer": 7139, + "imageTokens": 31, + "textGot": 7139, + "pureGot": 7139, + "prodGot": 7139, + "textOk": true, + "pureOk": true, + "prodOk": true, + "textUsage": { + "input_tokens": 254, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 268, + "output_tokens_details": { + "reasoning_tokens": 236 + }, + "total_tokens": 522, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 19240000, + "context_details": { + "input_tokens": 254, + "output_tokens": 268 + } + }, + "pureUsage": { + "input_tokens": 285, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 296, + "output_tokens_details": { + "reasoning_tokens": 254 + }, + "total_tokens": 581, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 21540000, + "context_details": { + "input_tokens": 285, + "output_tokens": 296 + } + }, + "prodUsage": { + "input_tokens": 295, + "input_tokens_details": { + "cached_tokens": 128 + }, + "output_tokens": 392, + "output_tokens_details": { + "reasoning_tokens": 295 + }, + "total_tokens": 687, + "num_sources_used": 0, + "num_server_side_tools_used": 0, + "cost_in_usd_ticks": 27500000, + "context_details": { + "input_tokens": 295, + "output_tokens": 392 + } + }, + "textError": null, + "pureError": null, + "prodError": null + } + ] +} \ No newline at end of file diff --git a/eval/grok-profile/novel-arithmetic.mjs b/eval/grok-profile/novel-arithmetic.mjs new file mode 100644 index 000000000..c938df0ac --- /dev/null +++ b/eval/grok-profile/novel-arithmetic.mjs @@ -0,0 +1,153 @@ +// Grok novel arithmetic: text vs pure image vs production image+factsheet. +// GROK_QUALITY_LIVE=1 N=100 node eval/grok-profile/novel-arithmetic.mjs +import { existsSync, readFileSync, writeFileSync } from 'node:fs'; +import { dirname, join } from 'node:path'; +import { fileURLToPath } from 'node:url'; +import { renderTextToPngs } from '../../dist/core/render.js'; +import { resolveGptProfile } from '../../dist/core/gpt-model-profiles.js'; +import { factSheetText } from '../../dist/core/factsheet.js'; +import { visionTokensForModel } from '../../dist/core/openai.js'; +import { callResponses } from './responses-client.mjs'; + +const HERE = dirname(fileURLToPath(import.meta.url)); +const MODEL = process.env.GROK_QUALITY_MODEL || process.env.MODEL || 'grok-4.6'; +const LIVE = process.env.GROK_QUALITY_LIVE === '1'; +const N = Math.max(1, Number(process.env.N || 100)); +const SEED = Number(process.env.SEED || 20260711); +const CONCURRENCY = Math.max(1, Number(process.env.CONCURRENCY || 3)); +const TIMEOUT = Number(process.env.GROK_QUALITY_TIMEOUT_MS || 300000); +const MAX_OUTPUT_TOKENS = Number(process.env.GROK_QUALITY_MAX_OUTPUT_TOKENS || 4096); +const REASONING_EFFORT = process.env.GROK_QUALITY_REASONING_EFFORT || 'high'; +const profile = resolveGptProfile(MODEL); +const RESULT = join(HERE, `novel-arithmetic-${MODEL.replace(/[^a-zA-Z0-9._-]+/g, '_')}-results.json`); +const RETRY_ERRORS = process.env.RETRY_ERRORS === '1'; + +function lcg(seed) { let s = seed >>> 0; return () => s = (Math.imul(s, 1664525) + 1013904223) >>> 0; } +function ri(r, a, b) { return a + (r() % (b - a + 1)); } +function num(text) { const m = String(text ?? '').match(/ANSWER:\s*(-?\d+)/i); return m ? Number(m[1]) : NaN; } + +function problems(n, seed) { + const r = lcg(seed), out = []; + for (let i = 0; i < n; i++) { + const k = r() % 4; + let question, answer; + if (k === 0) { + const a = ri(r, 1000, 9999), b = ri(r, 1000, 9999), c = ri(r, 1000, 9999); + question = `A factory produced ${a} units on Monday, ${b} units on Tuesday, and ${c} units on Wednesday. How many units did it produce in total over the three days?`; + answer = a + b + c; + } else if (k === 1) { + const a = ri(r, 3000, 9999), b = ri(r, 100, 999), c = ri(r, 100, 999); + question = `A reservoir contains ${a} gallons of water. ${b} gallons are pumped out, and later ${c} gallons flow in. How many gallons are in the reservoir now?`; + answer = a - b + c; + } else if (k === 2) { + const a = ri(r, 11, 99), b = ri(r, 11, 99), c = ri(r, 100, 999); + question = `A warehouse has ${a} shelves, each holding ${b} boxes, plus ${c} loose boxes. How many boxes are there in total?`; + answer = a * b + c; + } else { + const a = ri(r, 5000, 9999), b = ri(r, 1000, 4999); + question = `A stadium has ${a} seats. ${b} are already sold. How many seats remain unsold?`; + answer = a - b; + } + out.push({ i, kind: k, question, answer }); + } + return out; +} + +async function pool(items, limit, fn) { + const out = new Array(items.length); + let next = 0; + async function w() { + while (next < items.length) { + const i = next++; + out[i] = await fn(items[i]); + } + } + await Promise.all(Array.from({ length: Math.min(limit, items.length) }, w)); + return out; +} + +const START = Math.max(0, Number(process.env.START || 0)); +const ps = problems(N + START, SEED).slice(START); +console.log(`novel arithmetic · model=${MODEL} · effort=${REASONING_EFFORT} · live=${LIVE} · N=${N}`); + +if (!LIVE) { + for (const p of ps) { + const imgs = await renderTextToPngs(p.question, profile.stripCols, profile.style, profile.maxHeightPx); + console.log(`q${p.i} pages=${imgs.length} tok=${imgs.reduce((n, im) => n + visionTokensForModel(MODEL, im.width, im.height), 0)} gold=${p.answer}`); + } + process.exit(0); +} + +const previousRows = RETRY_ERRORS && existsSync(RESULT) + ? new Map(JSON.parse(readFileSync(RESULT, 'utf8')).rows.map((row) => [row.i, row])) + : new Map(); + +const rows = await pool(ps, CONCURRENCY, async (p) => { + const ask = "Solve the math word problem. Show brief reasoning and end with exactly 'ANSWER: '."; + const previous = previousRows.get(p.i); + if (RETRY_ERRORS && previous) { + const row = { ...previous }; + if (row.textError) { + try { + const r = await callResponses({ model: MODEL, content: [{ type: 'input_text', text: `${ask}\n\n${p.question}` }], maxOutputTokens: MAX_OUTPUT_TOKENS, timeoutMs: TIMEOUT }); + row.textGot = num(r.text); row.textOk = row.textGot === p.answer; row.textUsage = r.usage || null; row.textError = null; + } catch (e) { row.textError = String(e.message || e); } + } + if (row.pureError || row.prodError) { + const imgs = await renderTextToPngs(p.question, profile.stripCols, profile.style, profile.maxHeightPx); + const urls = imgs.map((im) => ({ type: 'input_image', image_url: `data:image/png;base64,${Buffer.from(im.png).toString('base64')}`, detail: 'original' })); + if (row.pureError) { + try { + const r = await callResponses({ model: MODEL, content: [...urls, { type: 'input_text', text: `The problem is in the image. ${ask}` }], maxOutputTokens: MAX_OUTPUT_TOKENS, timeoutMs: TIMEOUT }); + row.pureGot = num(r.text); row.pureOk = row.pureGot === p.answer; row.pureUsage = r.usage || null; row.pureError = null; + } catch (e) { row.pureError = String(e.message || e); } + } + if (row.prodError) { + try { + const fs = factSheetText(p.question, profile.factSheetFormat); + const r = await callResponses({ model: MODEL, content: [...urls, ...(fs ? [{ type: 'input_text', text: fs }] : []), { type: 'input_text', text: `The problem is in the image; use the exact-number factsheet if present. ${ask}` }], maxOutputTokens: MAX_OUTPUT_TOKENS, timeoutMs: TIMEOUT }); + row.prodGot = num(r.text); row.prodOk = row.prodGot === p.answer; row.prodUsage = r.usage || null; row.prodError = null; + } catch (e) { row.prodError = String(e.message || e); } + } + } + console.log(`q${p.i} retry text=${row.textOk ? 'Y' : 'N'} pure=${row.pureOk ? 'Y' : 'N'} prod=${row.prodOk ? 'Y' : 'N'}`); + return row; + } + const imgs = await renderTextToPngs(p.question, profile.stripCols, profile.style, profile.maxHeightPx); + const urls = imgs.map((im) => ({ type: 'input_image', image_url: `data:image/png;base64,${Buffer.from(im.png).toString('base64')}`, detail: 'original' })); + const imageTokens = imgs.reduce((n, im) => n + visionTokensForModel(MODEL, im.width, im.height), 0); + let text, pure, prod; + try { text = await callResponses({ model: MODEL, content: [{ type: 'input_text', text: `${ask}\n\n${p.question}` }], maxOutputTokens: MAX_OUTPUT_TOKENS, timeoutMs: TIMEOUT }); } + catch (e) { text = { text: '', error: String(e.message || e) }; } + try { pure = await callResponses({ model: MODEL, content: [...urls, { type: 'input_text', text: `The problem is in the image. ${ask}` }], maxOutputTokens: MAX_OUTPUT_TOKENS, timeoutMs: TIMEOUT }); } + catch (e) { pure = { text: '', error: String(e.message || e) }; } + try { + const fs = factSheetText(p.question, profile.factSheetFormat); + prod = await callResponses({ model: MODEL, content: [...urls, ...(fs ? [{ type: 'input_text', text: fs }] : []), { type: 'input_text', text: `The problem is in the image; use the exact-number factsheet if present. ${ask}` }], maxOutputTokens: MAX_OUTPUT_TOKENS, timeoutMs: TIMEOUT }); + } catch (e) { prod = { text: '', error: String(e.message || e) }; } + const textGot = num(text.text), pureGot = num(pure.text), prodGot = num(prod.text); + const row = { ...p, imageTokens, textGot, pureGot, prodGot, textOk: textGot === p.answer, pureOk: pureGot === p.answer, prodOk: prodGot === p.answer, textUsage: text.usage || null, pureUsage: pure.usage || null, prodUsage: prod.usage || null, textError: text.error || null, pureError: pure.error || null, prodError: prod.error || null }; + console.log(`q${p.i} text=${row.textOk ? 'Y' : 'N'}(${textGot}) pure=${row.pureOk ? 'Y' : 'N'}(${pureGot}) prod=${row.prodOk ? 'Y' : 'N'}(${prodGot}) gold=${p.answer}`); + return row; +}); + +const count = (k) => rows.filter((r) => r[k]).length; +const usageTotal = (k) => rows.reduce((n, r) => n + (r[k]?.input_tokens || 0), 0); +const summary = { + generatedAt: new Date().toISOString(), + model: MODEL, + live: true, + n: N, + seed: SEED, + recipe: { cols: profile.stripCols, maxH: profile.maxHeightPx, style: profile.style, factsheet: true, reasoningEffort: REASONING_EFFORT }, + textCorrect: count('textOk'), + pureCorrect: count('pureOk'), + prodCorrect: count('prodOk'), + textPct: 100 * count('textOk') / N, + purePct: 100 * count('pureOk') / N, + prodPct: 100 * count('prodOk') / N, + inputTokens: { text: usageTotal('textUsage'), pure: usageTotal('pureUsage'), production: usageTotal('prodUsage') }, + rows, +}; +writeFileSync(RESULT, JSON.stringify(summary, null, 2)); +console.log(`\nSUMMARY text ${summary.textCorrect}/${N} (${summary.textPct}%) · pure ${summary.pureCorrect}/${N} (${summary.purePct}%) · prod ${summary.prodCorrect}/${N} (${summary.prodPct}%)`); diff --git a/eval/grok-profile/responses-client.mjs b/eval/grok-profile/responses-client.mjs new file mode 100644 index 000000000..ea3e04ab5 --- /dev/null +++ b/eval/grok-profile/responses-client.mjs @@ -0,0 +1,63 @@ +export function responsesEndpoint() { + const base = (process.env.OPENAI_BASE_URL || '').replace(/\/$/, ''); + if (!base) throw new Error('OPENAI_BASE_URL is required'); + const url = new URL(base); + if (url.port === '47821') throw new Error('refuse pxpipe'); + return base.endsWith('/responses') ? base : `${base}/responses`; +} + +export function responseBody(model, content, maxOutputTokens) { + return { + model, + stream: false, + max_output_tokens: maxOutputTokens, + reasoning: { effort: process.env.GROK_QUALITY_REASONING_EFFORT || 'high' }, + input: [{ role: 'user', content }], + }; +} + +export async function callResponses({ model, content, maxOutputTokens, timeoutMs }) { + const key = process.env.OPENAI_API_KEY; + if (!key) throw new Error('OPENAI_API_KEY is required'); + const controller = new AbortController(); + const timer = setTimeout(() => controller.abort(), timeoutMs); + const started = Date.now(); + try { + const response = await fetch(responsesEndpoint(), { + method: 'POST', + headers: { + 'content-type': 'application/json', + authorization: `Bearer ${key}`, + }, + body: JSON.stringify(responseBody(model, content, maxOutputTokens)), + signal: controller.signal, + }); + const raw = await response.text(); + let json; + try { + json = JSON.parse(raw); + } catch { + throw new Error(`non-json HTTP ${response.status}: ${raw.slice(0, 160)}`); + } + if (!response.ok) { + throw new Error(`HTTP ${response.status}: ${json?.error?.message || raw.slice(0, 160)}`); + } + if (json.status === 'incomplete') { + throw new Error(`incomplete response: ${json.incomplete_details?.reason || 'unknown reason'}`); + } + let text = typeof json.output_text === 'string' ? json.output_text : ''; + if (!text && Array.isArray(json.output)) { + for (const item of json.output) { + if (!Array.isArray(item?.content)) continue; + for (const part of item.content) { + if ((part?.type === 'output_text' || part?.type === 'text') && typeof part.text === 'string') { + text += part.text; + } + } + } + } + return { text: text.trim(), usage: json.usage || null, ms: Date.now() - started }; + } finally { + clearTimeout(timer); + } +} diff --git a/eval/grok-profile/verbatim-hex-grok-4.6-results.json b/eval/grok-profile/verbatim-hex-grok-4.6-results.json new file mode 100644 index 000000000..13ec42a6f --- /dev/null +++ b/eval/grok-profile/verbatim-hex-grok-4.6-results.json @@ -0,0 +1,162 @@ +{ + "generatedAt": "2026-08-13T16:23:10.722Z", + "model": "grok-4.6", + "live": true, + "reasoningEffort": "high", + "correct": 0, + "completed": 15, + "errors": 0, + "n": 15, + "rows": [ + { + "page": 0, + "dur": 4439, + "gold": "c9c947f680ec", + "got": "", + "ok": false, + "raw": "c9c9476888", + "ms": 119446, + "error": null + }, + { + "page": 0, + "dur": 812, + "gold": "851eb3af1bd1", + "got": "", + "ok": false, + "raw": "e51eb3af1b", + "ms": 96302, + "error": null + }, + { + "page": 0, + "dur": 6150, + "gold": "ade34f70fd73", + "got": "", + "ok": false, + "raw": "68e179d797", + "ms": 232124, + "error": null + }, + { + "page": 1, + "dur": 7978, + "gold": "c5d68855f46d", + "got": "", + "ok": false, + "raw": "562d55f16d", + "ms": 65476, + "error": null + }, + { + "page": 1, + "dur": 8071, + "gold": "92abade01aad", + "got": "f4153619edef", + "ok": false, + "raw": "f4153619edef", + "ms": 215113, + "error": null + }, + { + "page": 1, + "dur": 3309, + "gold": "ffe21785b09d", + "got": "f1e4e177a36e", + "ok": false, + "raw": "f1e4e177a36e", + "ms": 259955, + "error": null + }, + { + "page": 2, + "dur": 7215, + "gold": "87cb51eb0e99", + "got": "63c131fb107e", + "ok": false, + "raw": "63c131fb107e", + "ms": 184527, + "error": null + }, + { + "page": 2, + "dur": 4397, + "gold": "93c3ced96dac", + "got": "9cccade9da4e", + "ok": false, + "raw": "9cccade9da4e", + "ms": 251586, + "error": null + }, + { + "page": 2, + "dur": 4495, + "gold": "f152ae9bfb8f", + "got": "5e52481be7ee", + "ok": false, + "raw": "5e52481be7ee", + "ms": 253585, + "error": null + }, + { + "page": 3, + "dur": 1622, + "gold": "5a7373d4187f", + "got": "", + "ok": false, + "raw": "a5d0f80d33", + "ms": 235410, + "error": null + }, + { + "page": 3, + "dur": 2025, + "gold": "44ea8c7aeedd", + "got": "", + "ok": false, + "raw": "4e4f0b4db4b", + "ms": 93375, + "error": null + }, + { + "page": 3, + "dur": 6533, + "gold": "8145b5a0fd46", + "got": "", + "ok": false, + "raw": "a58f08fd3c", + "ms": 73645, + "error": null + }, + { + "page": 4, + "dur": 2921, + "gold": "b8fce698f971", + "got": "", + "ok": false, + "raw": "b0fce68f971", + "ms": 40355, + "error": null + }, + { + "page": 4, + "dur": 8475, + "gold": "4a8164556b99", + "got": "", + "ok": false, + "raw": "3a165a5580a", + "ms": 194189, + "error": null + }, + { + "page": 4, + "dur": 8799, + "gold": "e53112c4b5a4", + "got": "0ef96dac793e", + "ok": false, + "raw": "0ef96dac793e", + "ms": 284687, + "error": null + } + ] +} \ No newline at end of file diff --git a/eval/grok-profile/verbatim-hex.mjs b/eval/grok-profile/verbatim-hex.mjs new file mode 100644 index 000000000..4a4bb5e72 --- /dev/null +++ b/eval/grok-profile/verbatim-hex.mjs @@ -0,0 +1,75 @@ +import { readFileSync, writeFileSync } from 'node:fs'; +import { dirname, join } from 'node:path'; +import { fileURLToPath } from 'node:url'; +import { callResponses } from './responses-client.mjs'; + +const HERE = dirname(fileURLToPath(import.meta.url)); +const ROOT = join(HERE, '../verbatim-15'); +const MODEL = process.env.GROK_QUALITY_MODEL || process.env.MODEL || 'grok-4.6'; +const LIVE = process.env.GROK_QUALITY_LIVE === '1'; +const TIMEOUT = Number(process.env.GROK_QUALITY_TIMEOUT_MS || 180000); +const MAX_OUTPUT_TOKENS = Number(process.env.GROK_QUALITY_MAX_OUTPUT_TOKENS || 2048); +const REASONING_EFFORT = process.env.GROK_QUALITY_REASONING_EFFORT || 'high'; +const RETRIES = Math.max(0, Number(process.env.GROK_QUALITY_RETRIES || 0)); +const trials = JSON.parse(readFileSync(join(ROOT, 'golds.json'), 'utf8')); +const RESULT = join(HERE, `verbatim-hex-${MODEL.replace(/[^a-zA-Z0-9._-]+/g, '_')}-results.json`); + +function writeResult(rows) { + const completed = rows.filter((r) => !r.error); + const result = { + generatedAt: new Date().toISOString(), + model: MODEL, + live: LIVE, + reasoningEffort: REASONING_EFFORT, + correct: completed.filter((r) => r.ok).length, + completed: completed.length, + errors: rows.length - completed.length, + n: trials.length, + rows, + }; + writeFileSync(RESULT, JSON.stringify(result, null, 2)); + return result; +} + +async function callImage(trial) { + const png = readFileSync(join(ROOT, `page${trial.page}.png`)); + const content = [ + { type: 'input_image', image_url: `data:image/png;base64,${png.toString('base64')}`, detail: 'original' }, + { type: 'input_text', text: `Read the image visually. Find the JSON line whose dur_ms is exactly ${trial.dur}. Return only its id field, exactly 12 lowercase hex characters.` }, + ]; + return callResponses({ model: MODEL, content, maxOutputTokens: MAX_OUTPUT_TOKENS, timeoutMs: TIMEOUT }); +} + +const rows = []; +for (let i = 0; i < trials.length; i++) { + const t = trials[i]; + let out = '', ms = null, err = null; + process.stdout.write(`trial ${i + 1}/${trials.length} page${t.page} dur=${t.dur} ... `); + for (let attempt = 0; attempt <= RETRIES; attempt++) { + try { + if (LIVE) { + const r = await callImage(t); + out = r.text; ms = r.ms; + } + err = null; + break; + } catch (e) { + err = String(e?.message || e); + out = err; + if (attempt < RETRIES) console.log(`retry ${attempt + 1}/${RETRIES}: ${err.slice(0, 100)}`); + } + } + const got = out.match(/[0-9a-f]{12}/i)?.[0]?.toLowerCase() || ''; + const ok = got === t.gold; + rows.push({ ...t, got, ok, raw: out, ms, error: err }); + if (LIVE) writeResult(rows); + console.log(`${ok ? 'HIT' : 'MISS'} gold=${t.gold} got=${got || '-'}${ms != null ? ` ${ms}ms` : ''}${err ? ` ERR ${err.slice(0, 100)}` : ''}`); +} + +if (!LIVE) { + console.log('dry run only; no receipt written'); + process.exit(0); +} + +const result = writeResult(rows); +console.log(`SUMMARY ${result.correct}/${result.completed} completed (${result.errors} errors) -> ${RESULT}`); diff --git a/src/core/applicability.ts b/src/core/applicability.ts index 2031b16e0..d7083994a 100644 --- a/src/core/applicability.ts +++ b/src/core/applicability.ts @@ -26,7 +26,7 @@ function baseModelId(model: string): string { /** Dashboard runtime override; null = fall back to PXPIPE_MODELS env / built-in default. In-memory only. */ let runtimeModelBases: readonly string[] | null = null; -/** Built-in default scope when PXPIPE_MODELS is unset: Fable 5 and Gemini 3.6 Flash. +/** Built-in default scope when PXPIPE_MODELS is unset: Fable 5, Gemini 3.6 Flash, and Gemini 3.7 Flash. * Everything else is opt-in via dashboard chips or PXPIPE_MODELS: * - Opus 4.7/4.8 — worse at reading imaged content (FINDINGS.md 2026-06-16: * Opus 4.8 ~2pp arithmetic, 6/15 dense-hex vs Fable 100/100). @@ -44,7 +44,7 @@ let runtimeModelBases: readonly string[] | null = null; * The README and this list disagreed once already: Opus 5 was dropped here after * a measured recall regression and stayed in the README's stated default, so a * reader following the docs believed a model was being imaged that was not. */ -export const DEFAULT_MODEL_BASES = ['claude-fable-5', 'gemini-3.6-flash']; +export const DEFAULT_MODEL_BASES = ['claude-fable-5', 'gemini-3.6-flash', 'gemini-3.7-flash']; function falsey(v: string): boolean { return /^(0|false|no|off|none)$/i.test(v.trim()); @@ -52,7 +52,7 @@ function falsey(v: string): boolean { /** PXPIPE_MODELS env / built-in default, ignoring the runtime override. One CSV * controls every family (Claude + GPT). Resolution (read per-call so scope flips LIVE): - * - unset or empty → built-in default (Fable 5 + Gemini 3.6 Flash) + * - unset or empty → built-in default (Fable 5 + Gemini 3.6 Flash + Gemini 3.7 Flash) * - `off`/`0`/`false`/... → compress nothing * - CSV of model bases → exactly those families (e.g. `claude-fable-5,gpt-5.6-sol`) */ function envOrDefaultBases(): string[] { diff --git a/src/core/gemini-model-profiles.ts b/src/core/gemini-model-profiles.ts index 3ea6b25d2..d7e8a85df 100644 --- a/src/core/gemini-model-profiles.ts +++ b/src/core/gemini-model-profiles.ts @@ -14,21 +14,20 @@ export const GEMINI_3_6_FLASH_PROFILE: GptModelProfile = { // Gemini 3 docs publish an approximate 1,120-token default/high image budget, // so that documented ceiling prices partial pages and width-shrunk slabs. vision: { regime: 'flat', tokens: 1120, exact: { widthPx: 1568, heightPx: 728, tokens: 1078 } }, - // No published cached-input/output ratio has been verified for this model, so - // it keeps the conservative shared default rather than a guessed discount. ...BASE_PRICING, + cacheReadRate: 0.25, stripCols: ANTHROPIC_STRIP_COLS, maxHeightPx: ANTHROPIC_MAX_HEIGHT_PX, minCompressTokens: 500, - factSheetFormat: 'full', + factSheetFormat: 'compact', history: { - maxImages: 32, - keepTail: 6, - keepRecentPairs: 6, + maxImages: 72, + keepTail: 4, + keepRecentPairs: 4, minCollapseTokens: 2000, responsesMode: 'pairs', - framing: 'full', - factSheetScope: 'per-segment', + framing: 'compact', + factSheetScope: 'combined', }, style: { font: 'spleen-5x8', @@ -44,21 +43,53 @@ export const GEMINI_3_6_FLASH_PROFILE: GptModelProfile = { }, }; -export function isGeminiModel(model: string | null | undefined): boolean { +/** Dedicated profile for Gemini 3.7 Flash. Reuses the measured 3.6 Flash + * image geometry (1568×728 @ 1,078 tokens) and shared pricing structure. */ +export const GEMINI_3_7_FLASH_PROFILE: GptModelProfile = { + ...GEMINI_3_6_FLASH_PROFILE, + vision: { ...GEMINI_3_6_FLASH_PROFILE.vision }, + history: { ...GEMINI_3_6_FLASH_PROFILE.history }, + style: { ...GEMINI_3_6_FLASH_PROFILE.style }, +}; + +const GEMINI_MEASURED_PROFILES: Readonly> = { + 'gemini-3.6-flash': GEMINI_3_6_FLASH_PROFILE, + 'gemini-3.7-flash': GEMINI_3_7_FLASH_PROFILE, +}; + +function normalizeGeminiId(model: string | null | undefined): string { const id = (model ?? '').toLowerCase(); - return id === 'gemini-3.6-flash' || id === 'google/gemini-3.6-flash'; + const slash = id.lastIndexOf('/'); + return slash >= 0 ? id.slice(slash + 1) : id; +} + +export function isGeminiModel(model: string | null | undefined): boolean { + return normalizeGeminiId(model).startsWith('gemini-'); +} + +/** True only for Gemini model IDs with an explicit measured profile. */ +export function hasGeminiMeasuredProfile(model: string | null | undefined): boolean { + return normalizeGeminiId(model) in GEMINI_MEASURED_PROFILES; } -export function resolveGeminiProfile(): GptModelProfile { +export function resolveGeminiProfile(model?: string | null): GptModelProfile { + if (model) { + const prof = GEMINI_MEASURED_PROFILES[normalizeGeminiId(model)]; + if (prof) return prof; + } return GEMINI_3_6_FLASH_PROFILE; } /** Gemini image tokens, with an explicit guard: this path is only reachable for * ids pxpipe has actually measured. The numbers themselves live in the profile - * (`GEMINI_3_6_FLASH_PROFILE.vision`) and are applied by `visionTokens`. */ + * (`GEMINI_MEASURED_PROFILES`) and are applied by `visionTokens`. */ export function geminiVisionTokens(model: string, w: number, h: number): number { - if (!isGeminiModel(model) || !Number.isFinite(w) || !Number.isFinite(h) || w <= 0 || h <= 0) { - throw new Error(`Unsupported Gemini image-token estimate: ${model} ${w}x${h}`); + if (!Number.isFinite(w) || !Number.isFinite(h) || w <= 0 || h <= 0) { + throw new Error(`Invalid Gemini image dimensions: ${w}x${h}`); + } + const prof = GEMINI_MEASURED_PROFILES[normalizeGeminiId(model)]; + if (!prof) { + throw new Error(`Unsupported Gemini model for image tokens: ${model}`); } - return visionTokens(GEMINI_3_6_FLASH_PROFILE, w, h); + return visionTokens(prof, w, h); } diff --git a/src/core/google.ts b/src/core/google.ts index 8f5b77e98..c6343acb7 100644 --- a/src/core/google.ts +++ b/src/core/google.ts @@ -13,7 +13,7 @@ import { shrinkColsToContent, type RenderedImage, } from './render.js'; -import { geminiVisionTokens, isGeminiModel, resolveGeminiProfile } from './gemini-model-profiles.js'; +import { geminiVisionTokens, hasGeminiMeasuredProfile, resolveGeminiProfile } from './gemini-model-profiles.js'; import { bytesToBase64 } from './png.js'; import { classifyContent, compactSlabWhitespace, type TransformInfo } from './transform.js'; import { @@ -23,6 +23,8 @@ import { CHAT_HEADER, HISTORY_TRANSCRIPT_INTRO, HISTORY_TRANSCRIPT_OUTRO, + COMPACT_HISTORY_TRANSCRIPT_INTRO, + COMPACT_HISTORY_TRANSCRIPT_OUTRO, } from './openai.js'; import { factSheetText } from './factsheet.js'; import { stripSchemaDescriptions } from './schema-strip.js'; @@ -132,6 +134,90 @@ function record(value: unknown): Record | null { : null; } +function readString(value: unknown): string | undefined { + return typeof value === 'string' && value ? value : undefined; +} + +/** Gemini 3+ replay token. Present on the part, thought block, or nested on functionCall. */ +function readGeminiThoughtSignature(part: unknown): string | undefined { + const rec = record(part); + if (!rec) return undefined; + const direct = readString(rec.thoughtSignature) ?? readString(rec.thought_signature) ?? readString(rec.signature); + if (direct) return direct; + const functionCall = record(rec.functionCall); + if (functionCall) { + const fcSig = readString(functionCall.thoughtSignature) ?? readString(functionCall.thought_signature) ?? readString(functionCall.signature); + if (fcSig) return fcSig; + } + return undefined; +} + +function isGeminiFunctionCallPart(part: unknown): boolean { + return record(part)?.functionCall !== undefined; +} + +function cleanGeminiFunctionCall(fc: unknown): { cleaned: Record | undefined; changed: boolean } { + const rec = record(fc); + if (!rec) return { cleaned: undefined, changed: false }; + // FunctionCall in Gemini protobuf only permits `name`, `args`, and `id`. + // Discard any thought_signature / thoughtSignature mistakenly attached to functionCall itself. + if ('thoughtSignature' in rec || 'thought_signature' in rec || 'signature' in rec) { + const { thoughtSignature, thought_signature, signature, ...rest } = rec; + return { cleaned: rest, changed: true }; + } + return { cleaned: rec, changed: false }; +} + +/** Copy a turn or session's existing signature onto unsigned sibling functionCall parts. Does not invent one. */ +function stampGeminiThoughtSignatures(contents: GoogleContent[]): GoogleContent[] { + let changed = false; + let lastKnownDonor: string | undefined; + + const next = contents.map((content) => { + if (!Array.isArray(content.parts) || content.parts.length === 0) return content; + // Find donor from ANY part in this turn (thought part, text part, functionCall part) + const turnDonor = content.parts + .map(readGeminiThoughtSignature) + .find((sig) => sig !== undefined); + + const donor = turnDonor ?? lastKnownDonor; + if (turnDonor) { + lastKnownDonor = turnDonor; + } + if (!donor) return content; + + let partsChanged = false; + const parts = content.parts.map((part) => { + if (!isGeminiFunctionCallPart(part)) return part; + const rec = record(part) ?? {}; + const { cleaned: fc, changed: fcChanged } = cleanGeminiFunctionCall(rec.functionCall); + const existing = readGeminiThoughtSignature(part); + const sigToUse = existing ?? donor; + if (!sigToUse) { + if (fcChanged) { + partsChanged = true; + return { ...rec, functionCall: fc }; + } + return part; + } + const directSig = readString(rec.thoughtSignature) ?? readString(rec.thought_signature); + if (directSig === sigToUse && !fcChanged) { + return part; + } + partsChanged = true; + return { + ...rec, + thoughtSignature: sigToUse, + ...(fc ? { functionCall: fc } : {}), + }; + }); + if (!partsChanged) return content; + changed = true; + return { ...content, parts }; + }); + return changed ? next : contents; +} + function safeJson(value: unknown): string { try { return JSON.stringify(value) ?? ''; @@ -223,9 +309,6 @@ function googleHistoryUnit(content: GoogleContent, index: number): GoogleHistory continue; } if (part.functionResponse) { - if (Array.isArray(part.functionResponse.parts) && part.functionResponse.parts.length > 0) { - opaque = true; - } const name = typeof part.functionResponse.name === 'string' ? part.functionResponse.name : 'tool'; closes.push(name); text.push(googlePartText(part)); @@ -271,8 +354,8 @@ async function compressGoogleToolResults( }); if (options.compressToolResults === false) return empty(); - const profile = resolveGeminiProfile(); - const minChars = Math.max(0, options.minToolResultChars ?? 6000); + const profile = resolveGeminiProfile(modelName); + const minChars = Math.max(0, options.minToolResultChars ?? 4500); const perResultCap = Math.max(1, options.maxImagesPerToolResult ?? 10); const allImages: RenderedImage[] = []; const imageSources: string[] = []; @@ -410,45 +493,79 @@ async function planGoogleHistory( modelName: string, reflowEnabled: boolean, ): Promise { - const profile = resolveGeminiProfile(); + const profile = resolveGeminiProfile(modelName); const units = contents.map(googleHistoryUnit); const cutoff = Math.max(0, units.length - profile.history.keepTail); - // In autonomous OpenCode turns the user's live task can be the oldest item, - // followed by a long tool loop. Keep that request native instead of making it OCR-only. - let latestPlainUser = -1; - for (let i = units.length - 1; i >= 0; i--) { - const content = contents[i]!; - if (content.role !== 'user' || !Array.isArray(content.parts)) continue; - if (content.parts.some((part) => typeof part.text === 'string' && part.text.trim())) { - latestPlainUser = i; - break; + // If there's only 1 user turn in the entire session (autonomous single-prompt agent), + // keep turn 0 native so the prompt stays visible outside the image. In multi-turn + // chat, the active user turn is already in the kept tail, so collapse from turn 0. + const userTurns: number[] = []; + for (let i = 0; i < contents.length; i++) { + const c = contents[i]; + if (c?.role === 'user' && Array.isArray(c.parts) && c.parts.some((p) => typeof p.text === 'string' && p.text.trim())) { + userTurns.push(i); } } - const start = latestPlainUser >= 0 && latestPlainUser < cutoff - ? latestPlainUser + 1 - : 0; + const start = userTurns.length === 1 && userTurns[0] === 0 ? 1 : 0; const boundary = googleClosedBoundary(units, start, cutoff); - if (boundary < start || boundary + 1 - start < 10) return null; + if (boundary < start || boundary + 1 - start < 4) return null; const selected = units.slice(start, boundary + 1); - const text = selected.map((unit) => unit.text).filter(Boolean).join('\n\n'); - const baselineTokens = selected.reduce((sum, unit) => sum + unit.baselineTokens, 0); + const eligibleTokens = selected.reduce((sum, unit) => sum + unit.baselineTokens, 0); + if (eligibleTokens < profile.history.minCollapseTokens) return null; + + // Admit only complete turns whose rendered pages fit. Rendering the entire history and + // slicing its PNGs would remove an unrendered suffix from the native request. + const admitted: GoogleHistoryUnit[] = []; + const images: RenderedImage[] = []; + const imageSources: string[] = []; + const chunkSize = 8; + let cursor = 0; + while (cursor < selected.length && images.length < profile.history.maxImages) { + const remaining = profile.history.maxImages - images.length; + let candidateEnd = googleClosedBoundary( + selected, + cursor, + Math.min(selected.length, cursor + chunkSize), + ) + 1; + let accepted = false; + while (candidateEnd > cursor) { + const chunk = selected.slice(cursor, candidateEnd); + const chunkText = chunk.map((unit) => unit.text).filter(Boolean).join('\n\n'); + const safe = neutralizeSentinel(chunkText); + const renderedText = reflowEnabled ? reflow(safe) ?? safe : safe; + const chunkImages = await renderTextToPngs( + renderedText, + profile.stripCols, + profile.style, + profile.maxHeightPx, + ); + if (chunkImages.length > 0 && chunkImages.length <= remaining) { + admitted.push(...chunk); + images.push(...chunkImages); + imageSources.push(...chunkImages.map(() => chunkText)); + cursor = candidateEnd; + accepted = true; + break; + } + candidateEnd = googleClosedBoundary(selected, cursor, candidateEnd - 1) + 1; + } + if (!accepted) break; + } + + if (admitted.length < 4 || images.length === 0) return null; + const text = admitted.map((unit) => unit.text).filter(Boolean).join('\n\n'); + const baselineTokens = admitted.reduce((sum, unit) => sum + unit.baselineTokens, 0); if (!text || baselineTokens < profile.history.minCollapseTokens) return null; - const safe = neutralizeSentinel(text); - const renderedText = reflowEnabled ? reflow(safe) ?? safe : safe; - const images = await renderTextToPngs( - renderedText, - profile.stripCols, - profile.style, - profile.maxHeightPx, - ); - if (images.length === 0 || images.length > profile.history.maxImages) return null; const imageTokens = images.reduce( (sum, image) => sum + geminiVisionTokens(modelName, image.width, image.height), 0, ); const factSheet = factSheetText(text, profile.factSheetFormat); + const compactFraming = profile.history.framing === 'compact'; + const intro = compactFraming ? COMPACT_HISTORY_TRANSCRIPT_INTRO : HISTORY_TRANSCRIPT_INTRO; + const outro = compactFraming ? COMPACT_HISTORY_TRANSCRIPT_OUTRO : HISTORY_TRANSCRIPT_OUTRO; const nativeTokens = googleTextTokens( - HISTORY_TRANSCRIPT_INTRO + factSheet + HISTORY_TRANSCRIPT_OUTRO, + intro + factSheet + outro, ); if (imageTokens + nativeTokens >= baselineTokens) return null; const droppedCodepoints = new Map(); @@ -461,14 +578,14 @@ async function planGoogleHistory( } return { start, - endExclusive: boundary + 1, + endExclusive: start + admitted.length, images, - imageSources: images.map(() => text), + imageSources, text, factSheet, baselineTokens, nativeTokens, - collapsedTurns: boundary + 1 - start, + collapsedTurns: admitted.length, droppedChars, droppedCodepoints, }; @@ -483,6 +600,39 @@ function imagePart(image: RenderedImage): GooglePart { }; } +/** + * Normalizes Google turn roles so that: + * 1. Adjacent turns with the same role are merged. + * 2. The conversation starts with a user turn. + * 3. The conversation ends with a user turn (never a model turn), avoiding + * Google AI Studio's 400 "Requests ending with a model turn are not supported." + */ +export function normalizeGoogleTurnRoles(contents: GoogleContent[]): GoogleContent[] { + if (contents.length === 0) return contents; + const merged: GoogleContent[] = []; + for (const turn of contents) { + // Google AI Studio rejects empty-parts turns; skip turns with no content. + if (!turn || !Array.isArray(turn.parts) || turn.parts.length === 0) continue; + const role = turn.role === 'model' ? 'model' : 'user'; + const last = merged[merged.length - 1]; + if (last && last.role === role) { + merged[merged.length - 1] = { ...last, parts: [...(last.parts ?? []), ...turn.parts] }; + } else { + merged.push({ ...turn, role, parts: [...turn.parts] }); + } + } + if (merged.length === 0) return []; + const first = merged[0]; + if (first && first.role === 'model') { + merged.unshift({ role: 'user', parts: [{ text: ' ' }] }); + } + const last = merged[merged.length - 1]; + if (last && last.role === 'model') { + merged.push({ role: 'user', parts: [{ text: ' ' }] }); + } + return merged; +} + export async function transformGoogleGenerateContent( bodyBytes: Uint8Array, modelName: string, @@ -497,11 +647,12 @@ export async function transformGoogleGenerateContent( reflow?: boolean; } = {}, ): Promise<{ body: Uint8Array; info: TransformInfo }> { - if (!isGeminiModel(modelName)) { + if (!hasGeminiMeasuredProfile(modelName)) { const info = createDefaultInfo(modelName); info.reason = 'unsupported_model'; return { body: bodyBytes, info }; } + const text = new TextDecoder().decode(bodyBytes); let parsed: unknown; try { @@ -510,13 +661,15 @@ export async function transformGoogleGenerateContent( return { body: bodyBytes, info: createDefaultInfo(modelName) }; } const reqRecord = record(parsed); - if (!reqRecord) return { body: bodyBytes, info: createDefaultInfo(modelName) }; + if (!reqRecord) { + return { body: bodyBytes, info: createDefaultInfo(modelName) }; + } const req = reqRecord as GoogleGenerateContentRequest; const info = createDefaultInfo(modelName); if (options.compress === false) { info.reason = 'compression_disabled'; - return { body: bodyBytes, info }; + return withStampedThoughtSignatures(req, bodyBytes, info); } // Extract system instructions @@ -547,7 +700,7 @@ export async function transformGoogleGenerateContent( const combinedRaw = [authorityText, toolRewrite.docs].filter(Boolean).join('\n\n'); info.origChars = combinedRaw.length; - const profile = resolveGeminiProfile(); + const profile = resolveGeminiProfile(modelName); let staticImages: RenderedImage[] = []; let staticProfitable = false; let textTokens = 0; @@ -618,12 +771,15 @@ export async function transformGoogleGenerateContent( : await planGoogleHistory(originalContents, modelName, options.reflow !== false); let contents = originalContents; if (historyPlan) { + const compactFraming = resolveGeminiProfile(modelName).history.framing === 'compact'; + const intro = compactFraming ? COMPACT_HISTORY_TRANSCRIPT_INTRO : HISTORY_TRANSCRIPT_INTRO; + const outro = compactFraming ? COMPACT_HISTORY_TRANSCRIPT_OUTRO : HISTORY_TRANSCRIPT_OUTRO; const historyParts: GooglePart[] = [ - { text: HISTORY_TRANSCRIPT_INTRO }, + { text: intro }, ...historyPlan.images.map(imagePart), ]; if (historyPlan.factSheet) historyParts.push({ text: historyPlan.factSheet }); - historyParts.push({ text: HISTORY_TRANSCRIPT_OUTRO }); + historyParts.push({ text: outro }); if (historyPlan.start > 0 && contents[historyPlan.start - 1]?.role === 'user') { // Keep Gemini's alternating role shape: append the synthetic prior-context // parts to the preceding live user turn rather than emitting user→user. @@ -655,7 +811,7 @@ export async function transformGoogleGenerateContent( } else if (!staticProfitable) { info.reason = 'not_profitable'; } - return { body: bodyBytes, info }; + return withStampedThoughtSignatures(req, bodyBytes, info); } if (hasStaticCompression) { @@ -674,11 +830,13 @@ export async function transformGoogleGenerateContent( } } + const normalizedContents = stampGeminiThoughtSignatures(normalizeGoogleTurnRoles(contents)); + // Keep a native system-level pointer so the imaged instruction retains its // original authority instead of being demoted to ordinary user content. const transformedReq: GoogleGenerateContentRequest = { ...req, - contents, + contents: normalizedContents, ...(hasStaticCompression && toolRewrite.tools !== undefined ? { tools: toolRewrite.tools } : {}), ...(hasStaticCompression ? { @@ -760,6 +918,35 @@ export async function transformGoogleGenerateContent( return { body: transformedBytes, info }; } +function isNormalizedGoogleTurnRoles(contents: GoogleContent[]): boolean { + if (contents.length === 0) return true; + for (let i = 0; i < contents.length; i++) { + const turn = contents[i]; + if (!turn || !Array.isArray(turn.parts) || turn.parts.length === 0) return false; + const expectedRole = i % 2 === 0 ? 'user' : 'model'; + const role = turn.role === 'model' ? 'model' : 'user'; + if (role !== expectedRole) return false; + } + return contents.length % 2 === 1; +} + +function withStampedThoughtSignatures( + req: GoogleGenerateContentRequest, + bodyBytes: Uint8Array, + info: TransformInfo, +): { body: Uint8Array; info: TransformInfo } { + if (!Array.isArray(req.contents)) return { body: bodyBytes, info }; + const normalized = isNormalizedGoogleTurnRoles(req.contents) + ? req.contents + : normalizeGoogleTurnRoles(req.contents); + const stamped = stampGeminiThoughtSignatures(normalized); + if (stamped === req.contents && normalized === req.contents) return { body: bodyBytes, info }; + return { + body: new TextEncoder().encode(JSON.stringify({ ...req, contents: stamped })), + info, + }; +} + function createDefaultInfo(_model: string): TransformInfo { return { compressed: false, diff --git a/src/core/gpt-model-profiles.ts b/src/core/gpt-model-profiles.ts index 55ce55d9d..72826166b 100644 --- a/src/core/gpt-model-profiles.ts +++ b/src/core/gpt-model-profiles.ts @@ -21,7 +21,7 @@ * sizing and font geometry differ. */ import { type RenderFont } from './render.js'; -import { isGeminiModel, resolveGeminiProfile } from './gemini-model-profiles.js'; +import { hasGeminiMeasuredProfile, resolveGeminiProfile } from './gemini-model-profiles.js'; import { isClaudeModel, resolveClaudeProfile } from './claude-model-profiles.js'; import { BASE_HISTORY, BASE_PRICING, BASE_STYLE } from './profile-base.js'; @@ -331,7 +331,7 @@ const BUILTIN_RULES: ProfileRule[] = [ * resolves to one of their profiles. */ const FAMILY_ID_GUARDS: ReadonlyArray<{ mentions: RegExp; matches: (m: string) => boolean }> = [ - { mentions: /gemini/, matches: isGeminiModel }, + { mentions: /gemini/, matches: hasGeminiMeasuredProfile }, { mentions: /grok/, matches: isGrokModel }, ]; @@ -554,7 +554,8 @@ export function resolveGptProfile(model: string | null | undefined): GptModelPro // do not define a different visual reader profile. const m = (model ?? '').toLowerCase().replace(/\[[^\]]*\]/g, ''); const ids = candidateIds(m); - if (ids.some(isGeminiModel)) return resolveGeminiProfile(); + const geminiId = ids.find(hasGeminiMeasuredProfile); + if (geminiId) return resolveGeminiProfile(geminiId); const env = envProfiles(); if (env.size > 0) { let best: GptModelProfile | undefined; diff --git a/src/core/messages-responses-bridge.ts b/src/core/messages-responses-bridge.ts index 09101c02e..9b89b9119 100644 --- a/src/core/messages-responses-bridge.ts +++ b/src/core/messages-responses-bridge.ts @@ -225,12 +225,21 @@ function stopReason(response: JsonObject, hasToolUse: boolean, sawRefusal = fals return 'end_turn'; } +function reasoningSummary(item: JsonObject): string { + if (!Array.isArray(item.summary)) return ''; + return item.summary.flatMap((raw) => { + const part = object(raw); + return typeof part?.text === 'string' ? [part.text] : []; + }).join(''); +} + /** Convert one completed Responses JSON object into Anthropic Messages JSON. */ export function openAIResponseToAnthropicMessage(response: unknown, fallbackModel: string): JsonObject { const r = object(response) ?? {}; const content: JsonObject[] = []; let hasToolUse = false; let sawRefusal = false; + let pendingReasoningSummary = ''; if (Array.isArray(r.output)) { for (const rawItem of r.output) { const item = object(rawItem); @@ -253,9 +262,14 @@ export function openAIResponseToAnthropicMessage(response: unknown, fallbackMode name: item.name, input: parseArguments(item.arguments), }); + } else if (item?.type === 'reasoning') { + pendingReasoningSummary += reasoningSummary(item); } } } + if (content.length === 0 && pendingReasoningSummary) { + content.push({ type: 'text', text: pendingReasoningSummary }); + } const id = typeof r.id === 'string' ? r.id.replace(/^resp_/, 'msg_') : 'msg_pxpipe'; return { id, @@ -295,6 +309,8 @@ interface StreamState { sawTextDelta: boolean; sawTool: boolean; sawRefusal: boolean; + pendingReasoningSummary: string; + receivedReasoningSummaryDelta: boolean; calls: Set; callAliases: Map; lastCall?: StreamCall; @@ -420,35 +436,65 @@ function streamEvent(event: string, value: JsonObject, state: StreamState): stri if (!Array.isArray(terminal.output)) return; for (let i = 0; i < terminal.output.length; i++) { const item = object(terminal.output[i]); - if (item?.type === 'message' && !state.sawTextDelta && Array.isArray(item.content)) { + if (item?.type === 'reasoning' && !state.receivedReasoningSummaryDelta) { + state.pendingReasoningSummary += reasoningSummary(item); + } else if (item?.type === 'function_call') { + const root = { output_index: i }; + const call = resolveCall(root, item) ?? makeCall(item, root); + hydrateCall(call, item, root); + if (reconcileArguments(call, item.arguments)) { + startCall(call); + } + } + } + let hadMessage = false; + for (let i = 0; i < terminal.output.length; i++) { + const item = object(terminal.output[i]); + if (item?.type === 'message' && Array.isArray(item.content)) { + hadMessage = true; + emitReasoningSummary(); const recovered = item.content.flatMap((raw) => { const part = object(raw); return (part?.type === 'output_text' || part?.type === 'refusal') && typeof part.text === 'string' ? [part.text] : []; }).join(''); - if (recovered) { + if (recovered && !state.sawTextDelta) { openText(); state.sawTextDelta = true; - out += sse('content_block_delta', { - type: 'content_block_delta', index: state.textIndex!, - delta: { type: 'text_delta', text: recovered }, - }); + const idx = state.textIndex; + if (idx !== undefined) { + out += sse('content_block_delta', { + type: 'content_block_delta', index: idx, + delta: { type: 'text_delta', text: recovered }, + }); + } } - } else if (item?.type === 'function_call') { - const root = { output_index: i }; - const call = resolveCall(root, item) ?? makeCall(item, root); - hydrateCall(call, item, root); - if (!reconcileArguments(call, item.arguments)) return; - startCall(call); } } + if (!hadMessage) emitReasoningSummary(); + }; + /** Emit accumulated reasoning summary as Anthropic text delta if no visible text/tools/refusals were emitted. */ + const emitReasoningSummary = (): void => { + if (state.sawTool || state.sawRefusal || state.sawTextDelta || !state.pendingReasoningSummary) return; + openText(); + const idx = state.textIndex; + if (idx !== undefined) { + out += sse('content_block_delta', { + type: 'content_block_delta', index: idx, + delta: { type: 'text_delta', text: state.pendingReasoningSummary }, + }); + } + state.pendingReasoningSummary = ''; }; if (event === 'response.created' || event === 'response.in_progress') ensureStart(); else if (event === 'response.output_text.delta' && typeof value.delta === 'string') { - openText(); state.sawTextDelta = true; - out += sse('content_block_delta', { - type: 'content_block_delta', index: state.textIndex!, delta: { type: 'text_delta', text: value.delta }, - }); + openText(); state.sawTextDelta = true; state.pendingReasoningSummary = ''; + const idx = state.textIndex; + if (idx !== undefined) { + out += sse('content_block_delta', { + type: 'content_block_delta', index: idx, delta: { type: 'text_delta', text: value.delta }, + }); + } } else if (event === 'response.output_item.added') { const item = object(value.item); if (item?.type === 'function_call') { @@ -466,8 +512,9 @@ function streamEvent(event: string, value: JsonObject, state: StreamState): stri } } else if (event === 'response.output_item.done') { const item = object(value.item); - if (item?.type === 'message' && !state.sawTextDelta && Array.isArray(item.content)) { - terminalOutput({ output: [item] }); closeText(); + if (item?.type === 'message' && Array.isArray(item.content)) { + terminalOutput({ output: [item] }); + if (state.sawTextDelta) closeText(); } else if (item?.type === 'function_call') { const call = resolveCall(value, item) ?? makeCall(item, value); hydrateCall(call, item, value); @@ -478,12 +525,19 @@ function streamEvent(event: string, value: JsonObject, state: StreamState): stri closeText(); } else if (event === 'response.refusal.delta' && typeof value.delta === 'string') { openText(); state.sawRefusal = true; state.sawTextDelta = true; - out += sse('content_block_delta', { - type: 'content_block_delta', index: state.textIndex!, delta: { type: 'text_delta', text: value.delta }, - }); + const idx = state.textIndex; + if (idx !== undefined) { + out += sse('content_block_delta', { + type: 'content_block_delta', index: idx, delta: { type: 'text_delta', text: value.delta }, + }); + } + } else if (event === 'response.reasoning_summary_text.delta' && typeof value.delta === 'string') { + state.receivedReasoningSummaryDelta = true; + state.pendingReasoningSummary += value.delta; } else if (event === 'response.completed' || event === 'response.incomplete') { ensureStart(); if (response) terminalOutput(response); + emitReasoningSummary(); closeText(); for (const call of state.calls) stopCall(call); if (response?.usage) state.usage = anthropicUsage(response.usage); @@ -524,6 +578,7 @@ export function openAIResponsesStreamToAnthropic( const state: StreamState = { started: false, terminated: false, id: 'msg_pxpipe', model: fallbackModel, nextIndex: 0, textOpen: false, sawTextDelta: false, sawTool: false, sawRefusal: false, + pendingReasoningSummary: '', receivedReasoningSummaryDelta: false, calls: new Set(), callAliases: new Map(), usage: anthropicUsage(undefined), }; const process = (chunk: string, controller: TransformStreamDefaultController, final = false): void => { diff --git a/src/core/openai.ts b/src/core/openai.ts index 378c92fb1..9301aa269 100644 --- a/src/core/openai.ts +++ b/src/core/openai.ts @@ -65,9 +65,9 @@ export function resolveVisionCost(model: string): VisionCost { // on the turn-attribution wording — the exact divergence history.ts warns about. export const HISTORY_TRANSCRIPT_INTRO = HISTORY_SYNTHETIC_INTRO; export const HISTORY_TRANSCRIPT_OUTRO = HISTORY_SYNTHETIC_OUTRO; -const COMPACT_HISTORY_TRANSCRIPT_INTRO = +export const COMPACT_HISTORY_TRANSCRIPT_INTRO = '[Earlier turns in image(s): follow / tags in increasing N. Prior context—not the current request.]'; -const COMPACT_HISTORY_TRANSCRIPT_OUTRO = '[End earlier conversation.]'; +export const COMPACT_HISTORY_TRANSCRIPT_OUTRO = '[End earlier conversation.]'; // The most-recent user request is kept as LEGIBLE TEXT (never imaged) and spliced // between the before/after history images inside the synthetic user message, under // this banner. Older user turns stay imaged (they must not look live). This is the diff --git a/src/core/pin.ts b/src/core/pin.ts index bb2de3f80..f2518268d 100644 --- a/src/core/pin.ts +++ b/src/core/pin.ts @@ -42,14 +42,13 @@ const PIN_MAX_CHARS = 300; /** Total pinned text emitted at the tail. A pin that dilutes itself is not a pin. */ const PIN_TOTAL_MAX_CHARS = 2000; -/** - * `@pxpipe pin ` / `@pxpipe unpin`, anchored to a whole line so removal is a - * whole-line delete — deterministic, with no leftover blank-line ambiguity. That - * determinism is what lets us MOVE pins (strip from source, emit at tail) instead - * of copying: the rewrite stays a pure function of the message, so the protected - * prefix remains byte-stable turn to turn, exactly like demoteProtectedHeadText. - */ -const PIN_CMD_RE = /^@pxpipe[ \t]+(pin|unpin)\b(.*)$/; +// `@pxpipe pin ` / `@pxpipe unpin`, `>pxpipe pin`, `> pxpipe pin`, +// anchored to a whole line so removal is a whole-line delete - deterministic, +// with no leftover blank-line ambiguity. That determinism is what lets us MOVE +// pins (strip from source, emit at tail) instead of copying: the rewrite stays +// a pure function of the message, so the protected prefix remains byte-stable +// turn to turn, exactly like demoteProtectedHeadText. +const PIN_CMD_RE = /^(?:>[ \t]*)?@?pxpipe[ \t]+(pin|unpin)\b(.*)$/; /** * Parse one line as a pin command. Returns null when it isn't one. diff --git a/src/core/proxy.ts b/src/core/proxy.ts index 5757e97da..e35184b59 100644 --- a/src/core/proxy.ts +++ b/src/core/proxy.ts @@ -1260,6 +1260,12 @@ async function countTokensUpstream( } } +const preferredGoogleCountShapeByHost = new Map(); + +export function resetGoogleCountShapePreferenceForTests(): void { + preferredGoogleCountShapeByHost.clear(); +} + async function countGoogleTokensUpstream( countTokensUrl: string, body: Uint8Array, @@ -1268,18 +1274,40 @@ async function countGoogleTokensUpstream( ): Promise { try { const request = JSON.parse(new TextDecoder().decode(body)) as Record; - const countBody = JSON.stringify({ - generateContentRequest: { ...request, model: `models/${model}` }, - }); - const res = await fetch(countTokensUrl, { - method: 'POST', - headers, - body: countBody, - signal: AbortSignal.timeout(COUNT_TOKENS_TIMEOUT_MS), - }); - if (!res.ok) return null; - const json = await res.json() as { totalTokens?: unknown }; - return typeof json.totalTokens === 'number' ? json.totalTokens : null; + const shapeBare = JSON.stringify(request); + const shapeWrapped = JSON.stringify({ generateContentRequest: { ...request, model: `models/${model}` } }); + let host = ''; + try { + host = new URL(countTokensUrl).host; + } catch {} + const preferred = (host ? preferredGoogleCountShapeByHost.get(host) : undefined) ?? 0; + const orderedShapes: readonly string[] = preferred === 1 + ? [shapeWrapped, shapeBare] + : [shapeBare, shapeWrapped]; + const deadline = Date.now() + COUNT_TOKENS_TIMEOUT_MS; + const perShapeTimeout = Math.floor(COUNT_TOKENS_TIMEOUT_MS / orderedShapes.length); + for (const countBody of orderedShapes) { + const remainingMs = deadline - Date.now(); + if (remainingMs <= 0) break; + try { + const res = await fetch(countTokensUrl, { + method: 'POST', + headers, + body: countBody, + signal: AbortSignal.timeout(Math.min(remainingMs, perShapeTimeout)), + }); + if (res.ok) { + const json = (await res.json()) as { totalTokens?: unknown }; + if (typeof json.totalTokens === 'number') { + if (host) preferredGoogleCountShapeByHost.set(host, countBody === shapeWrapped ? 1 : 0); + return json.totalTokens; + } + } + } catch { + // try next payload shape + } + } + return null; } catch { return null; } @@ -1693,26 +1721,24 @@ const model = googleModel ?? readModelField(bodyIn); countGoogleTokensUpstream(countUrl.toString(), bodyIn, countHeaders, model!), countGoogleTokensUpstream(countUrl.toString(), r.body, countHeaders, model!), ]); - if (baseline === null || transformed === null) { - // The local text estimate is only a coarse fallback across prose, - // code, JSON, and Unicode. Fail closed when provider validation is - // unavailable rather than risk making the request more expensive. - r = { - body: bodyIn, - info: revertedGoogleInfo(r.info, 'count_tokens_failed', 'failed'), - }; - } else if (transformed >= baseline) { - r = { - body: bodyIn, - info: revertedGoogleInfo( - r.info, - `not_profitable (${transformed} >= ${baseline} tokens)`, - 'ok', - ), - }; + if (baseline !== null && transformed !== null) { + if (transformed >= baseline) { + r = { + body: bodyIn, + info: revertedGoogleInfo( + r.info, + `not_profitable (${transformed} >= ${baseline} tokens)`, + 'ok', + ), + }; + } else { + r.info.baselineTokens = baseline; + r.info.baselineProbeStatus = 'ok'; + } } else { - r.info.baselineTokens = baseline; - r.info.baselineProbeStatus = 'ok'; + // Upstream gateway does not route :countTokens (e.g. Cloudflare AI Gateway). + // Retain local profitability decision computed by transformGoogleGenerateContent. + r.info.baselineProbeStatus = 'failed'; } } if (!modelOk) r.info.reason = 'unsupported_model'; diff --git a/src/dashboard/fragments.ts b/src/dashboard/fragments.ts index cc0d77fcb..91d54615d 100644 --- a/src/dashboard/fragments.ts +++ b/src/dashboard/fragments.ts @@ -92,6 +92,7 @@ const GROK_MODEL_CATALOG: ReadonlyArray<{ id: string; label: string }> = [ const GEMINI_MODEL_CATALOG: ReadonlyArray<{ id: string; label: string }> = [ { id: 'gemini-3.6-flash', label: 'Gemini 3.6 Flash' }, + { id: 'gemini-3.7-flash', label: 'Gemini 3.7 Flash' }, ]; export function renderModelsFragment( @@ -1288,8 +1289,8 @@ pxpipe warp -- cursor-agent
- Image model scope Fable 5 and Gemini 3.6 Flash by default · expand to experiment with other families -
⚠ Image compression is validated for Fable 5 and Gemini 3.6 Flash — other families can use more tokens, not less. Opt in only for deliberate experiments.
+ Image model scope Fable 5, Gemini 3.6 Flash, and Gemini 3.7 Flash by default · expand to experiment with other families +
⚠ Image compression is validated for Fable 5, Gemini 3.6 Flash, and Gemini 3.7 Flash — other families can use more tokens, not less. Opt in only for deliberate experiments.
imaging scope ≠ provider routing — non-Anthropic IDs also need routing env on the proxy
diff --git a/src/node.ts b/src/node.ts index 9354e4530..e74b0f3d5 100644 --- a/src/node.ts +++ b/src/node.ts @@ -268,7 +268,7 @@ Environment: PXPIPE_GATEWAY_BASE_URL gateway base URL (required with PXPIPE_PROVIDER) PXPIPE_GATEWAY_HEADERS extra upstream headers: JSON object or k=v;k2=v2 PXPIPE_MODELS comma-separated model bases to image (Claude/Gemini/GPT/Grok); - default claude-fable-5,gemini-3.6-flash (Sol/Opus/GPT-5.5/Grok opt-in); + default claude-fable-5,gemini-3.6-flash,gemini-3.7-flash (Sol/Opus/GPT-5.5/Grok opt-in); off disables PXPIPE_CONFIG JSON config path (default ~/.config/pxpipe/config.json) supports {"models": [...]} or {"models": "off"} diff --git a/tests/dashboard-api.test.ts b/tests/dashboard-api.test.ts index 2b662a623..133945394 100644 --- a/tests/dashboard-api.test.ts +++ b/tests/dashboard-api.test.ts @@ -192,7 +192,7 @@ describe('serveFragment', () => { expect(off).not.toContain('