diff --git a/.agents/skills/senpi-qa/scripts/gpt-6-family-preset-mock-loop.mjs b/.agents/skills/senpi-qa/scripts/gpt-6-family-preset-mock-loop.mjs new file mode 100644 index 0000000000..2b388b16e1 --- /dev/null +++ b/.agents/skills/senpi-qa/scripts/gpt-6-family-preset-mock-loop.mjs @@ -0,0 +1,133 @@ +/** + * Channel 3 proof: GPT-6 Sol and GPT-6 Luna reach the wire on the GPT-6 preset. + * + * Boots the real senpi CLI in --print mode against a fake OpenAI Responses + * server that serves the built-in catalog rows for `gpt-6-sol` and `gpt-6-luna`, + * then inspects each captured request: the model id and the requested reasoning + * effort must be the ones the CLI was asked for, and the developer/system message + * must carry the GPT-6 core (its "Asynchronous Work" and "Instructions From Files" + * sections) and none of the GPT-5.6 core's own sections. + * + * Runs under bun (`bun gpt-6-family-preset-mock-loop.mjs`): the CLI is spawned + * from TypeScript source with the current runtime, so no tsx shim is needed. + */ +import { spawn } from "node:child_process"; +import { writeFileSync } from "node:fs"; +import { join } from "node:path"; +import { cliEntry, evidenceDir, guardRealAuth, installCleanupHooks, makeSandbox, repoRoot, track } from "./lib/common.mjs"; +import { startFakeModelServer } from "./lib/fake-model-server.mjs"; +import { hermeticEnv, writeMockModelsJson } from "./lib/mock-loop-support.mjs"; + +const EVIDENCE_SLUG = "gpt-6-family-preset-mock-loop"; +const FINAL_MARKER = "SENPI-QA-GPT6-FAMILY-PRESET-APPLIED-7d2a"; +const GPT6_ONLY_SECTIONS = ["## Asynchronous Work", "## Instructions From Files"]; +const GPT56_ONLY_SECTIONS = ["## Manual QA Gate", "## Pragmatism & Scope"]; +const SCENARIOS = [ + { id: "gpt-6-sol", name: "GPT-6 Sol", thinking: "medium", expectedEffort: "medium" }, + { id: "gpt-6-luna", name: "GPT-6 Luna", thinking: "off", expectedEffort: "none" }, +]; + +const checks = []; +function check(label, condition) { + checks.push({ label, pass: !!condition }); + console.log(`[${condition ? "PASS" : "FAIL"}] ${label}`); +} + +function runCliWithCurrentRuntime(args, { env, cwd, timeoutMs }) { + return new Promise((resolve) => { + const root = repoRoot(); + const child = track(spawn(process.execPath, [cliEntry(root), ...args], { cwd, env, stdio: ["pipe", "pipe", "pipe"] })); + let stdout = ""; + let stderr = ""; + child.stdout.on("data", (chunk) => { + stdout += chunk.toString(); + }); + child.stderr.on("data", (chunk) => { + stderr += chunk.toString(); + }); + const timer = setTimeout(() => { + child.kill("SIGKILL"); + resolve({ code: null, stdout, stderr, timedOut: true }); + }, timeoutMs); + child.on("close", (code) => { + clearTimeout(timer); + resolve({ code, stdout, stderr, timedOut: false }); + }); + child.stdin.end(); + }); +} + +function systemTextOf(body) { + if (typeof body?.instructions === "string") return body.instructions; + const input = Array.isArray(body?.input) ? body.input : []; + const systemItems = input.filter((item) => item?.role === "developer" || item?.role === "system"); + return systemItems + .map((item) => (typeof item.content === "string" ? item.content : (item.content ?? []).map((part) => part?.text ?? "").join("\n"))) + .join("\n"); +} + +async function runScenario(scenario, evidence, authGuard) { + const sandbox = makeSandbox(`senpi-qa-${scenario.id}`); + const env = hermeticEnv(sandbox.env); + const server = await startFakeModelServer({ turns: [{ text: FINAL_MARKER }] }); + try { + writeMockModelsJson(sandbox.agentDir, server, "openai-responses", { id: scenario.id, name: scenario.name, reasoning: true }); + + const result = await runCliWithCurrentRuntime( + ["--print", "--provider", "openai", "--model", scenario.id, "--thinking", scenario.thinking, "Say hello"], + { env, cwd: sandbox.cwd, timeoutMs: 60000 }, + ); + + check(`${scenario.id}: --print exits 0`, result.code === 0); + check(`${scenario.id}: --print output contains the final marker`, result.stdout.includes(FINAL_MARKER)); + check(`${scenario.id}: fake server captured exactly 1 request`, server.requests.length === 1); + + const request = server.requests[0]; + if (request) { + check(`${scenario.id}: request names ${scenario.id}`, request.body?.model === scenario.id); + check( + `${scenario.id}: request carries reasoning.effort=${scenario.expectedEffort}`, + request.body?.reasoning?.effort === scenario.expectedEffort, + ); + const systemText = systemTextOf(request.body); + check(`${scenario.id}: request carries a developer/system message`, systemText.length > 0); + for (const section of GPT6_ONLY_SECTIONS) { + check(`${scenario.id}: system prompt carries the GPT-6 section ${section}`, systemText.includes(section)); + } + for (const section of GPT56_ONLY_SECTIONS) { + check(`${scenario.id}: system prompt does NOT carry the GPT-5.6 section ${section}`, !systemText.includes(section)); + } + check(`${scenario.id}: system prompt does not name Astra`, !/\bAstra\b/.test(systemText)); + writeFileSync(join(evidence, `${scenario.id}-system-prompt.txt`), systemText); + writeFileSync(join(evidence, `${scenario.id}-request.json`), JSON.stringify(request.body, null, 2)); + } + + writeFileSync( + join(evidence, `${scenario.id}-stdout.txt`), + `exit=${result.code}\n---STDOUT---\n${result.stdout}\n---STDERR---\n${result.stderr}\n`, + ); + check(`${scenario.id}: real auth store unchanged`, authGuard.assertUnchanged()); + } finally { + await server.stop(); + sandbox.cleanup(); + } +} + +async function main() { + const evidence = evidenceDir(EVIDENCE_SLUG); + installCleanupHooks(); + const authGuard = guardRealAuth(); + + for (const scenario of SCENARIOS) { + await runScenario(scenario, evidence, authGuard); + } + + const passed = checks.filter((entry) => entry.pass).length; + console.log(`\n${EVIDENCE_SLUG}: ${passed}/${checks.length} passed (evidence: ${evidence})`); + process.exitCode = passed === checks.length ? 0 : 1; +} + +main().catch((error) => { + console.error(error); + process.exitCode = 1; +}); diff --git a/packages/ai/CHANGELOG.md b/packages/ai/CHANGELOG.md index 7bd103bdf8..0864a36014 100644 --- a/packages/ai/CHANGELOG.md +++ b/packages/ai/CHANGELOG.md @@ -6,10 +6,14 @@ ### Added +- GPT-6 Sol (`gpt-6-sol`) and GPT-6 Luna (`gpt-6-luna`) join the catalog on OpenAI, ChatGPT Subscription, Azure OpenAI, OpenCode Zen, OpenRouter, Venice and Vercel AI Gateway, with `-fast` Priority-tier variants on OpenAI and ChatGPT Subscription. Both carry their published prices (Sol \$2/\$10 per 1M tokens with \$0.20 cache reads, Luna \$0.10/\$0.50 with \$0.01 cache reads, both doubling input and 1.5x output past 272k), 128k output, text and image input, tool search and additional-tools support, and the documented effort ladder `none`/`low`/`medium`/`high`/`xhigh`/`max`. Project prompt budgets: Luna ships the full 922k input cap, Sol ships 400k, on every provider that lists the model. + ### Changed ### Fixed +- OpenRouter's passthrough rows for `openai/gpt-6-sol` and `openai/gpt-6-luna` (and their `-pro` / `:batch` siblings) shipped in 2026.9.22-4 with no effort ladder at all, so `xhigh` and `max` were not selectable there and the rows sat at the raw 922k window instead of the tier budget. They now carry the same GPT-6 ladder and budget as the first-party rows. + ### Removed ## [2026.9.22-4] - 2026-09-22 diff --git a/packages/ai/changes.md b/packages/ai/changes.md index 44d9727fed..9fb62bbe4e 100644 --- a/packages/ai/changes.md +++ b/packages/ai/changes.md @@ -1,3 +1,24 @@ +## 2026-09-23 - GPT-6 Sol and GPT-6 Luna catalog rows + +### What changed + +- `packages/ai/scripts/generate-models.ts`: `gpt-6-sol` and `gpt-6-luna` join every OpenAI id table that already carried `gpt-6-astra` (tool search + additional tools on `openai` and `chatgpt-subscription`, short-context cap, long-context pricing tiers, `none` reasoning on the direct provider, Priority `-fast` variants on both first-party providers). Hand-added rows for both tiers land in the `openai` fallback list (used only when models.dev lacks the id) and in the `chatgpt-subscription` list (models.dev never carries the Codex backend), priced from the new `OPENAI_GPT_6_STANDARD_COSTS` table (Sol 2/10/0.2/2.5, Luna 0.1/0.5/0.01/0.125 per MTok) through `withOpenAiLongContextPricing`; `OPENAI_STANDARD_COSTS` merges the 5.6 and 6 tables for the direct-provider and Cloudflare price overrides. `supportsOpenAiXhigh` / `supportsOpenAiMax` and the former Astra-only final pass now key on `isGpt6FamilyId` (astra | sol | luna markers, prefixed or suffixed ids): `applyGpt6ContextWindow` stamps the tier budget on every provider row (Astra 600,000 unchanged, Sol 400,000, Luna 922,000 = the documented input cap) and `applyGpt6ThinkingLevels` stamps the documented ladder (`minimal: null`, low..max) and forces `off: null` for Astra only, since Sol and Luna document `none`. +- `packages/ai/src/providers/data/` regenerated with `--strict`: +4 rows each on `openai.json` and `chatgpt-subscription.json` (base + `-fast`), +2 on `azure-openai-responses.json`, `opencode.json` (plus incidental upstream additions `claude-opus-5-5`, `grok-4.7`), `venice.json`, +4 on `vercel-ai-gateway.json`; the eight pre-existing `openrouter.json` GPT-6 Sol/Luna rows gain the ladder and the Sol budget. Incidental upstream drift: OpenRouter pricing/context refreshes (aion, deepseek, hy3, glm, `~latest` aliases), Vercel gemini metadata. No model id was removed. +- Tests: `test/gpt-6-family-catalog.test.ts` (first-party rows, pricing tiers, ladder incl. `off`, tool metadata, `-fast` variants, map-less id inference, family-wide budget across every catalog); `test/openai-input-cap-catalog.test.ts` exempts the deliberate `gpt-6-sol @ 400,000` pairing from the documented-total check (a 1,050,000 Sol row would still fail) and pins the new direct-provider defaults. + +### Why + +OpenAI's GPT-6 family is Astra, Sol and Luna (developers.openai.com/api/docs/guides/latest-model). 2026.9.22-4 shipped Astra rows only; models.dev had since added Sol/Luna rows for openai, opencode, azure, openrouter and vercel, and 2026.9.22-4's regeneration had already pulled the OpenRouter passthrough rows without any effort ladder, so `xhigh` / `max` were unreachable there and the Codex backend could not select either tier at all. Budgets follow the user-stated defaults (Luna full window, Sol 400k) rather than the 272k short-context tier. + +### Why an extension could not handle it + +The catalog shards ship inside this package; nothing loaded at runtime can add a first-party row or change what the generator wrote. + +### Expected merge conflict zones + +- `packages/ai/scripts/generate-models.ts`: the OpenAI id tables near the top, `supportsOpenAiXhigh` / `supportsOpenAiMax`, the hand-added `openai` and `chatgpt-subscription` row lists, and the final metadata pass. +- `packages/ai/src/providers/data/*.json` + `.manifest.json`: regenerate rather than merge. + ## 2026-09-22 - Claude Opus 5.5 catalog rows and request compat ### What changed diff --git a/packages/ai/scripts/generate-models.ts b/packages/ai/scripts/generate-models.ts index 01a7af33eb..fcea9ae07a 100644 --- a/packages/ai/scripts/generate-models.ts +++ b/packages/ai/scripts/generate-models.ts @@ -399,13 +399,22 @@ const OPENAI_TOOL_SEARCH_MODEL_IDS = new Set([ "gpt-5.6-terra", "gpt-5.6-luna", "gpt-6-astra", + "gpt-6-sol", + "gpt-6-luna", ]); // Public OpenAI documents additional_tools for applications that load tools // outside the normal tool-search flow. Codex currently uses the input item for // its Responses Lite GPT-5.6 models. // https://developers.openai.com/api/docs/guides/tools-tool-search#add-tools-at-a-specific-point-in-the-input const OPENAI_ADDITIONAL_TOOLS_MODEL_IDS = OPENAI_TOOL_SEARCH_MODEL_IDS; -const CHATGPT_SUBSCRIPTION_ADDITIONAL_TOOLS_MODEL_IDS = new Set(["gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-6-astra"]); +const CHATGPT_SUBSCRIPTION_ADDITIONAL_TOOLS_MODEL_IDS = new Set([ + "gpt-5.6-sol", + "gpt-5.6-terra", + "gpt-5.6-luna", + "gpt-6-astra", + "gpt-6-sol", + "gpt-6-luna", +]); const OPENAI_LONG_CONTEXT_INPUT_THRESHOLD = 272000; // OpenAI budgets input and output separately: the Responses API rejects a request with // `context_too_large` once the prompt alone exceeds (documented context window - max output), @@ -419,15 +428,36 @@ const OPENAI_DOCUMENTED_CONTEXT_WINDOW_INPUT_CAPS: ReadonlyMap = [1050000, 922000], ]); const OPENAI_MAX_CONTEXT_INPUT_CAP = 922000; -// Flagship default context windows. OpenAI documents a 1,050,000-token window for both models; -// the project deliberately ships cost-tier defaults (users widen through model overrides): -// GPT-5.6 Sol keeps 650,000; GPT-6 Astra keeps 600,000. +// Flagship default context windows. OpenAI documents a 1,050,000-token window for every one of +// these models; the project deliberately ships cost-tier prompt budgets (users widen through model +// overrides): GPT-5.6 Sol keeps 650,000; GPT-6 Astra keeps 600,000; GPT-6 Sol ships 400,000; +// GPT-6 Luna ships the full 922,000 input cap. const GPT_6_ASTRA_DEFAULT_CONTEXT_WINDOW = 600000; +const GPT_6_SOL_DEFAULT_CONTEXT_WINDOW = 400000; +const GPT_6_LUNA_DEFAULT_CONTEXT_WINDOW = OPENAI_MAX_CONTEXT_INPUT_CAP; const OPENAI_FLAGSHIP_DEFAULT_CONTEXT_WINDOWS: ReadonlyMap = new Map([ ["gpt-5.6-sol", 650000], ["gpt-6-astra", GPT_6_ASTRA_DEFAULT_CONTEXT_WINDOW], + ["gpt-6-sol", GPT_6_SOL_DEFAULT_CONTEXT_WINDOW], + ["gpt-6-luna", GPT_6_LUNA_DEFAULT_CONTEXT_WINDOW], ]); const GPT_56_SOL_DEFAULT_CONTEXT_WINDOW = 650000; +// Every GPT-6 tier id, in the order a prefixed or suffixed id is matched (gpt-6-astra-fast, +// openai/gpt-6-sol, openai-gpt-6-luna). Bare "gpt-6" stays out so an unknown sibling is not +// stamped with a tier it does not have. +const GPT_6_FAMILY_DEFAULT_CONTEXT_WINDOWS: ReadonlyArray = [ + ["gpt-6-astra", GPT_6_ASTRA_DEFAULT_CONTEXT_WINDOW], + ["gpt-6-sol", GPT_6_SOL_DEFAULT_CONTEXT_WINDOW], + ["gpt-6-luna", GPT_6_LUNA_DEFAULT_CONTEXT_WINDOW], +]; + +function gpt6FamilyDefaultContextWindow(modelId: string): number | undefined { + return GPT_6_FAMILY_DEFAULT_CONTEXT_WINDOWS.find(([marker]) => modelId.includes(marker))?.[1]; +} + +function isGpt6FamilyId(modelId: string): boolean { + return gpt6FamilyDefaultContextWindow(modelId) !== undefined; +} function toOpenAiInputCap(contextWindow: number, maxTokens: number): number { if (maxTokens !== 128000) return contextWindow; @@ -458,6 +488,8 @@ const OPENAI_SHORT_CONTEXT_CAPPED_MODEL_IDS = new Set([ "gpt-5.6-terra", "gpt-5.6-luna", "gpt-6-astra", + "gpt-6-sol", + "gpt-6-luna", ]); const OPENAI_LONG_CONTEXT_PRICING_MODEL_IDS = new Set([ "gpt-5.4", @@ -468,6 +500,8 @@ const OPENAI_LONG_CONTEXT_PRICING_MODEL_IDS = new Set([ "gpt-5.6-terra", "gpt-5.6-luna", "gpt-6-astra", + "gpt-6-sol", + "gpt-6-luna", ]); function withOpenAiLongContextPricing(cost: Model["cost"]): Model["cost"] { @@ -492,6 +526,15 @@ const OPENAI_GPT_56_STANDARD_COSTS: Record = { "gpt-5.6-luna": { input: 0.2, output: 1.2, cacheRead: 0.02, cacheWrite: 0.25 }, "gpt-5.6-terra": { input: 2, output: 12, cacheRead: 0.2, cacheWrite: 2.5 }, }; +// GPT-6 Sol / Luna list prices (developers.openai.com/api/docs/models/gpt-6-sol, gpt-6-luna). +const OPENAI_GPT_6_STANDARD_COSTS: Record = { + "gpt-6-sol": { input: 2, output: 10, cacheRead: 0.2, cacheWrite: 2.5 }, + "gpt-6-luna": { input: 0.1, output: 0.5, cacheRead: 0.01, cacheWrite: 0.125 }, +}; +const OPENAI_STANDARD_COSTS: Record = { + ...OPENAI_GPT_56_STANDARD_COSTS, + ...OPENAI_GPT_6_STANDARD_COSTS, +}; const OPENAI_RESPONSES_NONE_REASONING_MODELS = new Set([ "gpt-5.1", @@ -504,11 +547,15 @@ const OPENAI_RESPONSES_NONE_REASONING_MODELS = new Set([ "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", + "gpt-6-sol", + "gpt-6-luna", ]); // OpenAI models with Priority processing support, per the OpenAI pricing page's // Priority table. `-fast` catalog variants are generated for exactly this set. const OPENAI_PRIORITY_TIER_MODEL_IDS = new Set([ "gpt-6-astra", + "gpt-6-sol", + "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", @@ -535,6 +582,8 @@ const OPENAI_PRIORITY_TIER_MODEL_IDS = new Set([ // Priority-ineligible. const CHATGPT_SUBSCRIPTION_PRIORITY_TIER_MODEL_IDS = new Set([ "gpt-6-astra", + "gpt-6-sol", + "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", @@ -673,7 +722,7 @@ function supportsOpenAiXhigh(modelId: string): boolean { modelId.includes("gpt-5.4") || modelId.includes("gpt-5.5") || modelId.includes("gpt-5.6") || - modelId.includes("gpt-6-astra") + isGpt6FamilyId(modelId) ); } @@ -693,7 +742,7 @@ function applyBaiReasoningConsistency(model: Model): void { function supportsOpenAiMax(model: Model): boolean { return ( - (model.id.includes("gpt-5.6") || model.id.includes("gpt-6-astra")) && + (model.id.includes("gpt-5.6") || isGpt6FamilyId(model.id)) && (model.api === "openai-responses" || model.api === "azure-openai-responses" || model.api === "openai-codex-responses" || @@ -1041,9 +1090,35 @@ function applyOpenAIExplicitPromptCacheMetadata(model: Model): void { // vercel-ai-gateway) otherwise inherit the documented 1,050,000 window while the // first-party OpenAI catalogs carry the input cap, so the effective Astra budget // changed with the provider that routed the request. -function applyGpt6AstraContextWindow(model: Model): void { - if (!model.id.includes("gpt-6-astra")) return; - model.contextWindow = GPT_6_ASTRA_DEFAULT_CONTEXT_WINDOW; +function applyGpt6ContextWindow(model: Model): void { + const contextWindow = gpt6FamilyDefaultContextWindow(model.id); + if (contextWindow === undefined) return; + model.contextWindow = contextWindow; +} + +const GPT_6_THINKING_LEVEL_APIS = new Set([ + "openai-responses", + "azure-openai-responses", + "openai-codex-responses", + "openai-completions", +]); + +// The documented GPT-6 ladder is low/medium/high/xhigh/max with no `minimal`; only Astra also +// omits `none`, so `off` stays whatever the provider rules set for Sol and Luna ("none" on the +// direct OpenAI provider, absent elsewhere) and is forced off for Astra. +function applyGpt6ThinkingLevels(model: Model): void { + if (!isGpt6FamilyId(model.id) || !GPT_6_THINKING_LEVEL_APIS.has(model.api)) return; + mergeThinkingLevelMap(model, { + minimal: null, + low: "low", + medium: "medium", + high: "high", + xhigh: "xhigh", + max: "max", + }); + if (model.id.includes("gpt-6-astra")) { + mergeThinkingLevelMap(model, { off: null }); + } } function isGemini3ProModel(modelId: string): boolean { @@ -2853,12 +2928,12 @@ async function generateModels() { candidate.contextWindow = flagshipContextWindow; } if (candidate.provider === "openai" && OPENAI_LONG_CONTEXT_PRICING_MODEL_IDS.has(candidate.id)) { - const standardCost = OPENAI_GPT_56_STANDARD_COSTS[candidate.id]; + const standardCost = OPENAI_STANDARD_COSTS[candidate.id]; candidate.cost = withOpenAiLongContextPricing(standardCost ?? candidate.cost); } // Cloudflare AI Gateway passes OpenAI usage through at OpenAI list prices. if (candidate.provider === "cloudflare-ai-gateway") { - const standardCost = OPENAI_GPT_56_STANDARD_COSTS[candidate.id]; + const standardCost = OPENAI_STANDARD_COSTS[candidate.id]; if (standardCost) candidate.cost = withOpenAiLongContextPricing(standardCost); } // Keep Kimi K3's canonical output limit when gateway metadata is missing or incorrect. @@ -3081,6 +3156,30 @@ async function generateModels() { maxTokens: 128000, thinkingLevelMap: { off: null, minimal: null, low: "low", medium: "medium", high: "high" }, }, + { + id: "gpt-6-sol", + name: "GPT-6 Sol", + api: "openai-responses", + baseUrl: "https://api.openai.com/v1", + provider: "openai", + reasoning: true, + input: ["text", "image"], + cost: withOpenAiLongContextPricing(OPENAI_GPT_6_STANDARD_COSTS["gpt-6-sol"]), + contextWindow: GPT_6_SOL_DEFAULT_CONTEXT_WINDOW, + maxTokens: 128000, + }, + { + id: "gpt-6-luna", + name: "GPT-6 Luna", + api: "openai-responses", + baseUrl: "https://api.openai.com/v1", + provider: "openai", + reasoning: true, + input: ["text", "image"], + cost: withOpenAiLongContextPricing(OPENAI_GPT_6_STANDARD_COSTS["gpt-6-luna"]), + contextWindow: GPT_6_LUNA_DEFAULT_CONTEXT_WINDOW, + maxTokens: 128000, + }, { id: "gpt-5.6-sol", name: "GPT-5.6 Sol", @@ -3317,6 +3416,30 @@ async function generateModels() { maxTokens: CODEX_MAX_TOKENS, thinkingLevelMap: { off: null, minimal: null, low: "low", medium: "medium", high: "high" }, }, + { + id: "gpt-6-sol", + name: "GPT-6 Sol", + api: "openai-codex-responses", + provider: "chatgpt-subscription", + baseUrl: CODEX_BASE_URL, + reasoning: true, + input: ["text", "image"], + cost: withOpenAiLongContextPricing(OPENAI_GPT_6_STANDARD_COSTS["gpt-6-sol"]), + contextWindow: GPT_6_SOL_DEFAULT_CONTEXT_WINDOW, + maxTokens: CODEX_MAX_TOKENS, + }, + { + id: "gpt-6-luna", + name: "GPT-6 Luna", + api: "openai-codex-responses", + provider: "chatgpt-subscription", + baseUrl: CODEX_BASE_URL, + reasoning: true, + input: ["text", "image"], + cost: withOpenAiLongContextPricing(OPENAI_GPT_6_STANDARD_COSTS["gpt-6-luna"]), + contextWindow: GPT_6_LUNA_DEFAULT_CONTEXT_WINDOW, + maxTokens: CODEX_MAX_TOKENS, + }, { id: "gpt-5.6-luna", name: "GPT-5.6 Luna", @@ -3462,24 +3585,8 @@ async function generateModels() { applyOpenAIGrammarToolCompatMetadata(model); applyOpenAIToolSearchMetadata(model); applyOpenAIExplicitPromptCacheMetadata(model); - applyGpt6AstraContextWindow(model); - if ( - model.id.includes("gpt-6-astra") && - (model.api === "openai-responses" || - model.api === "azure-openai-responses" || - model.api === "openai-codex-responses" || - model.api === "openai-completions") - ) { - mergeThinkingLevelMap(model, { - off: null, - minimal: null, - low: "low", - medium: "medium", - high: "high", - xhigh: "xhigh", - max: "max", - }); - } + applyGpt6ContextWindow(model); + applyGpt6ThinkingLevels(model); applyBaiReasoningConsistency(model); } applyAnthropicAllowedFallbackModelMetadata(allModels.filter(isAnthropicFallbackMetadataModel)); diff --git a/packages/ai/src/changes.md b/packages/ai/src/changes.md index abf3b48cff..d7591427ed 100644 --- a/packages/ai/src/changes.md +++ b/packages/ai/src/changes.md @@ -1,3 +1,22 @@ +## 2026-09-23 - GPT-6 Sol / Luna id inference for map-less rows + +### What changed + +- `packages/ai/src/models.ts`: `XHIGH_MODEL_IDS` and `OPENAI_MAX_MODEL_IDS` gain `gpt-6-sol` and `gpt-6-luna`, so a custom provider that ships either id without a `thinkingLevelMap` still surfaces `xhigh` and `max` on the OpenAI-compatible APIs. `inferOpenAIThinkingLevelMap` stays Astra-only: Sol and Luna document `none`, so their `off` level remains selectable. +- Catalog rows and generator changes for the same release are tracked in `packages/ai/changes.md`. + +### Why + +The generated catalogs carry explicit maps, but `models.json` entries and gateway rows for the new tiers carry none; without the id families the two top efforts disappeared on those routes (`test/gpt-6-family-catalog.test.ts`, map-less block). + +### Why an extension could not handle it + +Effort inference runs inside the model registry before any extension hook sees the model. + +### Expected merge conflict zones + +- `packages/ai/src/models.ts`: the `XHIGH_MODEL_IDS` / `OPENAI_MAX_MODEL_IDS` constant block. + ## 2026-09-22 - Claude Opus 5.5 request compat: no disabled thinking, no forced tool_choice ### What changed diff --git a/packages/ai/src/models.ts b/packages/ai/src/models.ts index 792d29faed..db55b774c1 100644 --- a/packages/ai/src/models.ts +++ b/packages/ai/src/models.ts @@ -1036,6 +1036,8 @@ const XHIGH_MODEL_IDS = [ "gpt-5.6-sol", "gpt-5.6-terra", "gpt-6-astra", + "gpt-6-sol", + "gpt-6-luna", "deepseek-v4-pro", "deepseek-v4-flash", "opus-4-6", @@ -1088,8 +1090,8 @@ const OPENAI_MAX_APIS: Api[] = [ "openai-completions", ]; -/** Model family that accepts native `max` effort on OpenAI-compatible APIs. */ -const OPENAI_MAX_MODEL_IDS = ["gpt-5.6-sol", "gpt-6-astra"]; +/** Model families that accept native `max` effort on OpenAI-compatible APIs. */ +const OPENAI_MAX_MODEL_IDS = ["gpt-5.6-sol", "gpt-6-astra", "gpt-6-sol", "gpt-6-luna"]; const MAX_MODEL_IDS = [ "opus-4-6", diff --git a/packages/ai/src/providers/data/.manifest.json b/packages/ai/src/providers/data/.manifest.json index 87bd3bf9b2..422770ed3e 100644 --- a/packages/ai/src/providers/data/.manifest.json +++ b/packages/ai/src/providers/data/.manifest.json @@ -1 +1 @@ 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Turbo","api":"anthropic-messages","baseUrl":"https://ai-gateway.vercel.sh","provider":"vercel-ai-gateway","reasoning":true,"input":["text","image"],"cost":{"input":1.2,"output":4,"cacheRead":0.24,"cacheWrite":0},"contextWindow":200000,"maxTokens":128000}}} diff --git a/packages/ai/test/gpt-6-family-catalog.test.ts b/packages/ai/test/gpt-6-family-catalog.test.ts new file mode 100644 index 0000000000..6901c3dfe0 --- /dev/null +++ b/packages/ai/test/gpt-6-family-catalog.test.ts @@ -0,0 +1,197 @@ +import { readdirSync, readFileSync } from "node:fs"; +import { fileURLToPath } from "node:url"; +import { describe, expect, it } from "vitest"; +import { getModel, getSupportedThinkingLevels, supportsMax, supportsXhigh } from "../src/compat.ts"; +import type { Api, Model } from "../src/types.ts"; + +/** + * GPT-6 Sol and GPT-6 Luna (developers.openai.com/api/docs/guides/latest-model, + * 2026-09-23): the two non-Astra tiers of the GPT-6 family. Both document + * `reasoning.effort` none/low/medium/high/xhigh/max, a 1,050,000-token window + * with a 922,000-token input cap, 128,000 output tokens, text + image input, + * and the >272k long-context multipliers (2x input/cache, 1.5x output). + * + * Published list prices per MTok: Sol 2 / 10 (cache read 0.2, write 2.5), + * Luna 0.1 / 0.5 (cache read 0.01, write 0.125). + * + * Project defaults for the prompt budget (`contextWindow` is the prompt budget, + * not the documented window): Luna ships the full 922,000 input cap, Sol ships + * 400,000, Astra keeps 600,000. Like Astra, each tier's number is stamped on + * every provider catalog so the budget does not change with the route. + */ +const SOL_CONTEXT_WINDOW = 400_000; +const LUNA_CONTEXT_WINDOW = 922_000; + +const EXPECTED = { + "gpt-6-sol": { + name: "GPT-6 Sol", + contextWindow: SOL_CONTEXT_WINDOW, + cost: { + input: 2, + output: 10, + cacheRead: 0.2, + cacheWrite: 2.5, + tiers: [{ inputTokensAbove: 272000, input: 4, output: 15, cacheRead: 0.4, cacheWrite: 5 }], + }, + }, + "gpt-6-luna": { + name: "GPT-6 Luna", + contextWindow: LUNA_CONTEXT_WINDOW, + cost: { + input: 0.1, + output: 0.5, + cacheRead: 0.01, + cacheWrite: 0.125, + tiers: [{ inputTokensAbove: 272000, input: 0.2, output: 0.75, cacheRead: 0.02, cacheWrite: 0.25 }], + }, + }, +} as const; + +type FamilyId = keyof typeof EXPECTED; +const FAMILY_IDS = Object.keys(EXPECTED) as FamilyId[]; + +for (const provider of ["openai", "chatgpt-subscription"] as const) { + for (const id of FAMILY_IDS) { + describe(`${provider}/${id}`, () => { + it("has the published catalog metadata and long-context pricing", () => { + const model = getModel(provider, id); + expect(model).toMatchObject({ + id, + name: EXPECTED[id].name, + api: provider === "openai" ? "openai-responses" : "openai-codex-responses", + provider, + baseUrl: provider === "openai" ? "https://api.openai.com/v1" : "https://chatgpt.com/backend-api", + reasoning: true, + input: ["text", "image"], + contextWindow: EXPECTED[id].contextWindow, + maxTokens: 128000, + cost: EXPECTED[id].cost, + }); + }); + + it("exposes the documented reasoning efforts, with off available and minimal absent", () => { + const model = getModel(provider, id)!; + // Unlike Astra, Sol and Luna accept `none`; like Astra, the GPT-6 ladder has no `minimal`. + expect(model.thinkingLevelMap).toMatchObject({ + minimal: null, + low: "low", + medium: "medium", + high: "high", + xhigh: "xhigh", + max: "max", + }); + if (provider === "openai") { + expect(model.thinkingLevelMap?.off).toBe("none"); + } + expect(getSupportedThinkingLevels(model)).toEqual(["off", "low", "medium", "high", "xhigh", "max"]); + expect(supportsXhigh(model)).toBe(true); + expect(supportsMax(model)).toBe(true); + }); + + it("exposes the tool-search and additional-tools metadata", () => { + const model = getModel(provider, id)!; + const compat = model.compat as + | { supportsToolSearch?: boolean; supportsAdditionalTools?: boolean } + | undefined; + expect(compat?.supportsToolSearch).toBe(true); + expect(compat?.supportsAdditionalTools).toBe(true); + }); + + it("has a priority fast variant", () => { + const fast = getModel(provider, `${id}-fast`); + expect(fast).toMatchObject({ + id: `${id}-fast`, + upstreamModelId: id, + serviceTier: "priority", + contextWindow: EXPECTED[id].contextWindow, + }); + }); + }); + } +} + +// A map-less model exercises the id-based inference in models.ts +// (XHIGH_MODEL_IDS / OPENAI_MAX_MODEL_IDS / OPENAI_MAX_APIS) directly, so a +// custom provider that ships the bare id still surfaces xhigh and max, and - +// unlike Astra - keeps `off` selectable because the tier documents `none`. +function maplessModel(id: FamilyId, api: Api): Model { + return { + id, + name: EXPECTED[id].name, + api, + provider: "custom", + baseUrl: "https://example.com/v1", + reasoning: true, + input: ["text", "image"], + cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, + contextWindow: 272000, + maxTokens: 128000, + }; +} + +describe("GPT-6 Sol/Luna effort inference without a thinking-level map", () => { + for (const id of FAMILY_IDS) { + for (const api of [ + "openai-responses", + "openai-codex-responses", + "azure-openai-responses", + "openai-completions", + ] as const) { + it(`infers xhigh and max and keeps off for a map-less ${id} on ${api}`, () => { + const model = maplessModel(id, api); + expect(supportsXhigh(model)).toBe(true); + expect(supportsMax(model)).toBe(true); + const levels = getSupportedThinkingLevels(model); + expect(levels).toContain("off"); + expect(levels).toContain("xhigh"); + expect(levels).toContain("max"); + }); + } + } +}); + +// Every catalog that ships a tier declares that tier's project default budget, +// mirroring gpt-6-astra-context-window.test.ts for the rest of the family. +const dataDirectory = fileURLToPath(new URL("../src/providers/data/", import.meta.url)); + +type CatalogEntry = { id?: unknown; contextWindow?: unknown }; +type FamilyEntry = { file: string; api: string; id: string; contextWindow: unknown }; + +function collectFamilyEntries(marker: FamilyId): FamilyEntry[] { + const entries: FamilyEntry[] = []; + for (const file of readdirSync(dataDirectory) + .filter((name) => name.endsWith(".json")) + .sort()) { + const parsed = JSON.parse(readFileSync(`${dataDirectory}${file}`, "utf8")) as Record< + string, + Record + >; + for (const [api, models] of Object.entries(parsed)) { + if (!models || typeof models !== "object") continue; + for (const [id, model] of Object.entries(models)) { + if (!id.includes(marker)) continue; + entries.push({ file, api, id, contextWindow: model?.contextWindow }); + } + } + } + return entries; +} + +describe("GPT-6 Sol/Luna series catalog context window", () => { + for (const id of FAMILY_IDS) { + it(`declares ${EXPECTED[id].contextWindow} for every ${id} entry in every provider catalog`, () => { + const entries = collectFamilyEntries(id); + expect(entries.length, `generated catalogs should ship ${id} entries`).toBeGreaterThan(0); + const offenders = entries + .filter((entry) => entry.contextWindow !== EXPECTED[id].contextWindow) + .map((entry) => `${entry.file}:${entry.api}/${entry.id}=${String(entry.contextWindow)}`) + .sort(); + expect(offenders, `${id} entries must all declare the tier context window`).toEqual([]); + }); + + it(`ships ${id} in the first-party OpenAI catalogs`, () => { + const files = [...new Set(collectFamilyEntries(id).map((entry) => entry.file))]; + expect(files).toEqual(expect.arrayContaining(["openai.json", "chatgpt-subscription.json"])); + }); + } +}); diff --git a/packages/ai/test/openai-input-cap-catalog.test.ts b/packages/ai/test/openai-input-cap-catalog.test.ts index b4d7c0d00b..d7149a8acb 100644 --- a/packages/ai/test/openai-input-cap-catalog.test.ts +++ b/packages/ai/test/openai-input-cap-catalog.test.ts @@ -11,12 +11,22 @@ const DOCUMENTED_TOTALS = new Map([ [400_000, 272_000], [1_050_000, 922_000], ]); +// GPT-6 Sol documents a 1,050,000 window; its project prompt budget is 400,000, which happens to +// equal the 400,000-tier total. Only that exact pairing is a deliberate budget rather than an uncapped row. +const DELIBERATE_TIER_BUDGETS = new Map([["gpt-6-sol", 400_000]]); function isFlagshipFamily(id: string): boolean { const bare = id.replace(GATEWAY_PREFIX, ""); return /^gpt-(?:5|6)(?:[.-]|$)/.test(bare) && !bare.startsWith("gpt-oss"); } +function isDeliberateTierBudget(model: Model): boolean { + for (const [marker, contextWindow] of DELIBERATE_TIER_BUDGETS) { + if (model.id.includes(marker) && model.contextWindow === contextWindow) return true; + } + return false; +} + function flagshipRows(): Array<{ provider: BuiltinProvider; model: Model }> { return getBuiltinProviders().flatMap((provider) => getBuiltinModels(provider) @@ -33,7 +43,7 @@ describe("OpenAI flagship catalog rows store the input cap", () => { //#when const offenders = rows - .filter(({ model }) => DOCUMENTED_TOTALS.has(model.contextWindow)) + .filter(({ model }) => DOCUMENTED_TOTALS.has(model.contextWindow) && !isDeliberateTierBudget(model)) .map(({ provider, model }) => `${provider}/${model.id}=${model.contextWindow}`); //#then @@ -48,6 +58,9 @@ describe("OpenAI flagship catalog rows store the input cap", () => { ["amazon-bedrock", "openai.gpt-5.6-luna", 922_000], ["amazon-bedrock", "global.openai.gpt-5.6-terra", 922_000], ["openrouter", "openai/gpt-6-astra", 600_000], + ["openrouter", "openai/gpt-6-sol", 400_000], + ["openrouter", "openai/gpt-6-luna", 922_000], + ["vercel-ai-gateway", "openai/gpt-6-sol-fast", 400_000], ["openai", "gpt-5-pro", 272_000], ["azure-openai-responses", "gpt-5-pro", 272_000], ] as const)("%s/%s resolves to %i", (provider: BuiltinProvider, id: string, contextWindow: number) => { @@ -58,7 +71,8 @@ describe("OpenAI flagship catalog rows store the input cap", () => { }); it("keeps the direct OpenAI cost-tier defaults below the cap", () => { - //#given - luna/terra ship the 272k tier, sol its 650k default and astra its 600k default on purpose + //#given - 5.6 luna/terra ship the 272k tier, 5.6 sol its 650k default, astra its 600k default, + // GPT-6 Sol its 400k default and GPT-6 Luna the full 922k input cap, all on purpose const openai = getBuiltinModels("openai"); const byId = new Map(openai.map((model) => [model.id, model.contextWindow])); @@ -67,5 +81,7 @@ describe("OpenAI flagship catalog rows store the input cap", () => { expect(byId.get("gpt-5.6-terra")).toBe(272_000); expect(byId.get("gpt-5.6-sol")).toBe(650_000); expect(byId.get("gpt-6-astra")).toBe(600_000); + expect(byId.get("gpt-6-sol")).toBe(400_000); + expect(byId.get("gpt-6-luna")).toBe(922_000); }); }); diff --git a/packages/coding-agent/CHANGELOG.md b/packages/coding-agent/CHANGELOG.md index 6979538de6..f8b1e62fb5 100644 --- a/packages/coding-agent/CHANGELOG.md +++ b/packages/coding-agent/CHANGELOG.md @@ -4,8 +4,14 @@ ### Breaking Changes +- The recommended OpenAI model is now GPT-6 Sol at `medium`, one slot below GPT-6 Astra and one above GPT-5.6 Sol, and `gpt-6-sol` is the implicit default for the `openai` and `chatgpt-subscription` providers where `gpt-5.6-sol` was. A session that lands on an implicit OpenAI default picks `gpt-6-sol:medium` when it is authenticated. Your explicitly configured `defaultModel` and `recommendedModels` are untouched; GPT-5.6 Sol stays selectable and stays on the recommendation ladder behind it. + ### Added +- The high-reasoning warning that fires for GPT-5.6 Sol at `xhigh` / `max` and for GPT-6 Astra at `max` now also covers GPT-6 Sol at `xhigh` / `max`, including `-fast`, `-pro` and gateway-prefixed ids. GPT-6 Luna is not covered. + +- GPT-6 Sol and GPT-6 Luna run on the GPT-6 system prompt. OpenAI publishes one set of prompting practices for the whole GPT-6 family, so any `gpt-6-sol` or `gpt-6-luna` id (Fast variants, dated snapshots, gateway-prefixed and Bedrock-style ids, and the display names "GPT-6 Sol" / "GPT-6 Luna") now selects the prompt GPT-6 Astra already used instead of falling back to the generic one; `promptPreset: "gpt-6-astra"` keeps its name and now reads as the family preset. + ### Changed ### Fixed diff --git a/packages/coding-agent/src/core/changes.md b/packages/coding-agent/src/core/changes.md index 6b4824273c..8348a3dd6a 100644 --- a/packages/coding-agent/src/core/changes.md +++ b/packages/coding-agent/src/core/changes.md @@ -1,3 +1,27 @@ +## 2026-09-23 - GPT-6 Sol becomes the recommended and default OpenAI model + +### What changed + +- `packages/coding-agent/src/core/extensions/builtin/recommended-models/index.ts`: `RECOMMENDED_DEFAULT_MODELS` gains `["gpt-6-sol", "medium"]` directly after `["gpt-6-astra", "high"]` and ahead of `["gpt-5.6-sol", "medium"]`, so an implicit OpenAI default lands on GPT-6 Sol when Astra is not authenticated and GPT-5.6 Sol stays the next rung. +- `packages/coding-agent/src/core/model-resolver.ts`: `defaultModelPerProvider.openai` and `["chatgpt-subscription"]` move from `gpt-5.6-sol` to `gpt-6-sol`. +- `packages/coding-agent/src/core/high-reasoning-warning.ts`: `SENSITIVE_MODEL_ID_PATTERN` adds `gpt-6-sol` beside the GPT-5.x Sol and Astra markers; the level rule is unchanged (Sol tiers warn at `xhigh` and `max`, Astra only at `max`), and GPT-6 Luna is deliberately not matched. +- `packages/coding-agent/src/modes/interactive/tips/catalog/ethos-tips.ts`: the ulw-loop tip now names `gpt-6-sol fast/medium`. +- Tests: `test/suite/recommended-models-extension.test.ts` (ladder order and the off-list → gpt-6-sol switch), `test/model-resolver.test.ts` (provider defaults), `test/high-reasoning-warning.test.ts` (Sol id shapes warn at xhigh/max, Luna and near-miss ids do not). + +### Why + +GPT-6 Sol is the GPT-6 tier OpenAI positions for coding and agentic work at Sol pricing; with its catalog rows landing in this release the user asked for it to sit in the favorable/defaultable set beside Opus, Fable and Astra. The shipped Fable 5.1 fallback ladder already leads with `claude-opus-5-5:max` (2026-09-22), so no retry-fallback change was needed. + +### Why an extension could not handle it + +Provider defaults and the recommendation ladder are read by the resolver and the builtin before user extensions bind; a user can override them through `defaultModel` / `recommendedModels` but cannot change what ships. + +### Expected merge conflict zones + +- `packages/coding-agent/src/core/model-resolver.ts`: the `defaultModelPerProvider` table. +- `packages/coding-agent/src/core/extensions/builtin/recommended-models/index.ts`: `RECOMMENDED_DEFAULT_MODELS`. +- `packages/coding-agent/src/core/high-reasoning-warning.ts`: the two id patterns at the top. + ## 2026-09-22 - Claude Opus 5.5 leads the shipped fallback ladders ### What changed diff --git a/packages/coding-agent/src/core/extensions/builtin/prompt-preset/AGENTS.md b/packages/coding-agent/src/core/extensions/builtin/prompt-preset/AGENTS.md index dd23e4633b..56b524e826 100644 --- a/packages/coding-agent/src/core/extensions/builtin/prompt-preset/AGENTS.md +++ b/packages/coding-agent/src/core/extensions/builtin/prompt-preset/AGENTS.md @@ -1,6 +1,6 @@ # builtin/prompt-preset -Builtin extension #7. On `before_agent_start` and `model_select`, picks a system prompt preset by **model family** (gpt-5.x through gpt-5.6, gpt-6-astra, claude-fable-5, claude-fable-5-1, claude-opus-5-5, claude-opus-5, claude-opus-4-{5,6,7,8}, glm-5.2, glm-5.3, deepseek-v4-{flash,flash-0731,pro}, deepseek-v4-1-flash, kimi-k2-{6,7,8}, kimi-k3) and falls back to the senpi dynamic prompt when nothing matches. Renders the active preset name in the startup header. After 2026-04-30, presets are thin wrappers around `buildDynamicSystemPrompt()` carrying only model-specific tuning. +Builtin extension #7. On `before_agent_start` and `model_select`, picks a system prompt preset by **model family** (gpt-5.x through gpt-5.6, the gpt-6 family (astra/sol/luna share the gpt-6-astra preset), claude-fable-5, claude-fable-5-1, claude-opus-5-5, claude-opus-5, claude-opus-4-{5,6,7,8}, glm-5.2, glm-5.3, deepseek-v4-{flash,flash-0731,pro}, deepseek-v4-1-flash, kimi-k2-{6,7,8}, kimi-k3) and falls back to the senpi dynamic prompt when nothing matches. Renders the active preset name in the startup header. After 2026-04-30, presets are thin wrappers around `buildDynamicSystemPrompt()` carrying only model-specific tuning. ## FILES diff --git a/packages/coding-agent/src/core/extensions/builtin/prompt-preset/changes.md b/packages/coding-agent/src/core/extensions/builtin/prompt-preset/changes.md index c4c11549fe..9c5eb21305 100644 --- a/packages/coding-agent/src/core/extensions/builtin/prompt-preset/changes.md +++ b/packages/coding-agent/src/core/extensions/builtin/prompt-preset/changes.md @@ -1,5 +1,24 @@ # prompt-preset Extension Changes +## 2026-09-23 - GPT-6 Sol / Luna resolve to the GPT-6 family preset + +### What changed + +- `presets.ts`: `hasGpt6AstraSignal` / `isGpt6AstraModel` become `hasGpt6FamilySignal` / `isGpt6FamilyModel`, matching `gpt-6-(astra|sol|luna)` with the same delimiter-boundary shape (prefixed ids such as `openai/gpt-6-sol`, `openai-gpt-6-luna`, `global.openai.gpt-6-sol`, suffixed `-fast` / dated snapshots / `:batch`, and the display names). The dispatch still returns `"gpt-6-astra"`; no new `PromptPresetName` and no new prompt file, because the rendered Astra core names no model and OpenAI's guide covers the family with one set of practices. Bare `gpt-6`, `gpt-6-mini`, `gpt-6.1` and near-miss words (`gpt-6-solaris`, `gpt-6-lunar`) stay unmatched. +- `test/suite/prompt-presets-gpt-6-family.test.ts`: id-shape matrix for Sol and Luna, display-name resolution, byte-identical prompt against Astra (and no `Astra` token in it), 5.6 ids stay on `gpt-5.6`, non-family ids stay out, the preset and `getApplyPatchWireMode` agree on the three Responses APIs (#1891 class), and every Sol/Luna row in the generated catalogs resolves. + +### Why + +Before this change a `gpt-6-sol` or `gpt-6-luna` session (the new catalog rows in this release) ran on the generic senpi prompt while Astra ran on the GPT-6 core, even though the family shares one prompting guide and the same tool gate (apply_patch freeform) already applied to all three. + +### Why an extension could not handle it + +Preset matching is this extension; a user extension could only re-implement the whole dispatch. + +### Expected merge conflict zones + +- `presets.ts`: the GPT-6 matcher block near the top and the first branch of `resolvePresetName`. + ## 2026-09-22 - Claude Opus 5.5 preset ### What changed diff --git a/packages/coding-agent/src/core/extensions/builtin/prompt-preset/presets.ts b/packages/coding-agent/src/core/extensions/builtin/prompt-preset/presets.ts index c29ef05279..c7ea9b50b8 100644 --- a/packages/coding-agent/src/core/extensions/builtin/prompt-preset/presets.ts +++ b/packages/coding-agent/src/core/extensions/builtin/prompt-preset/presets.ts @@ -47,17 +47,20 @@ function normalizeModelId(modelId: string): string { return modelId.toLowerCase().replace(/\s+/g, "-"); } -// GPT-6 Astra id shapes verified against the OpenAI model page, codex's -// models.json, and Bedrock's catalog (2026-09-04): gpt-6-astra, gpt-6-astra-fast, -// dated snapshots, openai/gpt-6-astra, openai.gpt-6-astra, global.openai.gpt-6-astra, -// and the display name "GPT-6 Astra". Bare "gpt-6" and "astra" stay out: the guide -// names no other GPT-6 model, and a future sibling deserves its own preset. -function hasGpt6AstraSignal(value: string): boolean { - return /(?:^|[/@:._-])gpt[._-]?6[._-]astra(?:$|[/@:._-])/.test(normalizeModelId(value)); +// The GPT-6 family (Astra, Sol, Luna) shares one prompting guide +// (developers.openai.com/api/docs/guides/latest-model, 2026-09-23), so every tier +// renders the gpt-6-astra preset; the preset keeps that name because settings.json +// already pins it. Id shapes verified against the OpenAI model pages, codex's +// models.json, models.dev and Bedrock's catalog: gpt-6-sol, gpt-6-luna-fast, dated +// snapshots, openai/gpt-6-sol, openai-gpt-6-luna, global.openai.gpt-6-astra, and +// the display names "GPT-6 Sol" / "GPT-6 Luna". Bare "gpt-6", "gpt-6-mini" and a +// lone tier word stay out: an unknown sibling deserves its own decision. +function hasGpt6FamilySignal(value: string): boolean { + return /(?:^|[/@:._-])gpt[._-]?6[._-](?:astra|sol|luna)(?:$|[/@:._-])/.test(normalizeModelId(value)); } -function isGpt6AstraModel(model: ModelWithPromptPresetMetadata): boolean { - return hasGpt6AstraSignal(model.id) || (model.name !== undefined && hasGpt6AstraSignal(model.name)); +function isGpt6FamilyModel(model: ModelWithPromptPresetMetadata): boolean { + return hasGpt6FamilySignal(model.id) || (model.name !== undefined && hasGpt6FamilySignal(model.name)); } type Gpt5Version = "gpt-5.2" | "gpt-5.3-codex" | "gpt-5.4" | "gpt-5.5" | "gpt-5.6"; @@ -298,7 +301,7 @@ export function resolvePresetName( return modelPromptPreset; } - if (isGpt6AstraModel(model)) { + if (isGpt6FamilyModel(model)) { return "gpt-6-astra"; } const gpt5Version = extractGpt5Version(model.id); diff --git a/packages/coding-agent/src/core/extensions/builtin/recommended-models/index.ts b/packages/coding-agent/src/core/extensions/builtin/recommended-models/index.ts index 55c07c4eaa..dacd2aa257 100644 --- a/packages/coding-agent/src/core/extensions/builtin/recommended-models/index.ts +++ b/packages/coding-agent/src/core/extensions/builtin/recommended-models/index.ts @@ -15,6 +15,7 @@ const MODEL_ID_SUFFIXES = ["-ultrafast", "-unlocked", "-256k", "-fast"] as const export const RECOMMENDED_DEFAULT_MODELS = [ ["kimi-k3", "max"], ["gpt-6-astra", "high"], + ["gpt-6-sol", "medium"], ["gpt-5.6-sol", "medium"], ["claude-fable-5-1", "high"], ["claude-opus-5-5", "max"], diff --git a/packages/coding-agent/src/core/high-reasoning-warning.ts b/packages/coding-agent/src/core/high-reasoning-warning.ts index 752ac565ca..f80c989486 100644 --- a/packages/coding-agent/src/core/high-reasoning-warning.ts +++ b/packages/coding-agent/src/core/high-reasoning-warning.ts @@ -1,9 +1,9 @@ import type { ThinkingLevel } from "@earendil-works/pi-agent-core"; import type { Api, Model } from "@earendil-works/pi-ai"; -// Matches GPT-5.x Sol and GPT-6 Astra variants, including provider-prefixed +// Matches GPT-5.x Sol, GPT-6 Sol and GPT-6 Astra variants, including provider-prefixed // forms. The trailing lookahead excludes unrelated ids that continue with letters. -const SENSITIVE_MODEL_ID_PATTERN = /(?:gpt-5(?:\.\d+)?-sol|gpt-6-astra)(?![a-z])/i; +const SENSITIVE_MODEL_ID_PATTERN = /(?:gpt-5(?:\.\d+)?-sol|gpt-6-sol|gpt-6-astra)(?![a-z])/i; const ASTRA_MODEL_ID_PATTERN = /gpt-6-astra(?![a-z])/i; export function isSensitiveHighReasoningModel(model: Pick, "id">): boolean { diff --git a/packages/coding-agent/src/core/model-resolver.ts b/packages/coding-agent/src/core/model-resolver.ts index 4878608c6e..7af5bd5a48 100644 --- a/packages/coding-agent/src/core/model-resolver.ts +++ b/packages/coding-agent/src/core/model-resolver.ts @@ -40,9 +40,9 @@ export const defaultModelPerProvider: Record = { "ant-ling": "Ring-2.6-1T", anthropic: "claude-opus-4-8", bai: "gpt-5.6-sol", - openai: "gpt-5.6-sol", + openai: "gpt-6-sol", "azure-openai-responses": "gpt-5.4", - "chatgpt-subscription": "gpt-5.6-sol", + "chatgpt-subscription": "gpt-6-sol", ollama: "qwen3.5:397b", // Cursor ships no models until its chat protocol is ported; "auto" matches // the Cursor agent's native model auto-selection once models exist. diff --git a/packages/coding-agent/src/modes/interactive/tips/catalog/ethos-tips.ts b/packages/coding-agent/src/modes/interactive/tips/catalog/ethos-tips.ts index dad73a2d91..4fd2803e9b 100644 --- a/packages/coding-agent/src/modes/interactive/tips/catalog/ethos-tips.ts +++ b/packages/coding-agent/src/modes/interactive/tips/catalog/ethos-tips.ts @@ -43,7 +43,7 @@ export const ETHOS_TIPS = [ bindings: [], requiresCommand: "tasks", render: () => - "For days when deep thought sounds awful, run the ulw loop with gpt-5.6-sol fast/medium. Fair warning: shallow thinking sends invoices.", + "For days when deep thought sounds awful, run the ulw loop with gpt-6-sol fast/medium. Fair warning: shallow thinking sends invoices.", }, { id: "ethos.monitor-subscribe", diff --git a/packages/coding-agent/test/high-reasoning-warning.test.ts b/packages/coding-agent/test/high-reasoning-warning.test.ts index fe6fda199a..fe2bc0218f 100644 --- a/packages/coding-agent/test/high-reasoning-warning.test.ts +++ b/packages/coding-agent/test/high-reasoning-warning.test.ts @@ -21,6 +21,9 @@ const SOL_MODEL_IDS = [ const NON_SOL_MODEL_IDS = [ "upstage/solar-pro-3", + "gpt-6-luna", + "gpt-6-luna-fast", + "gpt-6-solaris", "gpt-5.6-luna", "gpt-5.6-luna-fast", "gpt-5.6-terra", @@ -39,6 +42,13 @@ const NON_SOL_MODEL_IDS = [ ]; const ASTRA_MODEL_IDS = ["gpt-6-astra", "gpt-6-astra-fast", "openai/gpt-6-astra"]; +const GPT6_SOL_MODEL_IDS = [ + "gpt-6-sol", + "gpt-6-sol-fast", + "openai/gpt-6-sol", + "openai/gpt-6-sol-pro", + "global.openai.gpt-6-sol", +]; describe("high-reasoning-warning", () => { describe("isSensitiveHighReasoningModel", () => { @@ -62,6 +72,13 @@ describe("high-reasoning-warning", () => { expect(shouldWarnHighReasoning(mkModel("openai/gpt-5.6-sol-pro"), "xhigh")).toBe(true); }); + it.each(GPT6_SOL_MODEL_IDS)("warns for GPT-6 Sol at xhigh and max: %s", (id) => { + expect(isSensitiveHighReasoningModel(mkModel(id))).toBe(true); + expect(shouldWarnHighReasoning(mkModel(id), "xhigh")).toBe(true); + expect(shouldWarnHighReasoning(mkModel(id), "max")).toBe(true); + expect(shouldWarnHighReasoning(mkModel(id), "medium")).toBe(false); + }); + it.each(ASTRA_MODEL_IDS)("warns for GPT-6 Astra only at max: %s", (id) => { expect(shouldWarnHighReasoning(mkModel(id), "xhigh")).toBe(false); expect(shouldWarnHighReasoning(mkModel(id), "max")).toBe(true); diff --git a/packages/coding-agent/test/model-resolver.test.ts b/packages/coding-agent/test/model-resolver.test.ts index 313c9cd9ee..6fee979db5 100644 --- a/packages/coding-agent/test/model-resolver.test.ts +++ b/packages/coding-agent/test/model-resolver.test.ts @@ -697,8 +697,8 @@ describe("resolveCliModel", () => { describe("default model selection", () => { test("openai defaults track current models", () => { - expect(defaultModelPerProvider.openai).toBe("gpt-5.6-sol"); - expect(defaultModelPerProvider["chatgpt-subscription"]).toBe("gpt-5.6-sol"); + expect(defaultModelPerProvider.openai).toBe("gpt-6-sol"); + expect(defaultModelPerProvider["chatgpt-subscription"]).toBe("gpt-6-sol"); }); test("zai, minimax, cerebras, and ant-ling defaults track current models", () => { diff --git a/packages/coding-agent/test/provider-default-model-selection.test.ts b/packages/coding-agent/test/provider-default-model-selection.test.ts index 39b89d1a36..bfb9283690 100644 --- a/packages/coding-agent/test/provider-default-model-selection.test.ts +++ b/packages/coding-agent/test/provider-default-model-selection.test.ts @@ -1,22 +1,31 @@ +import type { Api, Model } from "@earendil-works/pi-ai"; import { getModels } from "@earendil-works/pi-ai/compat"; import { describe, expect, test } from "vitest"; import { findInitialModel } from "../src/core/model-resolver.ts"; +type InitialModelRuntime = Parameters[0]["modelRuntime"]; + +function runtimeFor(availableModels: Model[]): InitialModelRuntime { + return { + getAvailableSnapshot: () => availableModels, + getModel: (provider: string, modelId: string) => + availableModels.find((model) => model.provider === provider && model.id === modelId), + hasConfiguredAuth: () => true, + } as unknown as InitialModelRuntime; +} + describe("OpenAI provider defaults", () => { - test("prefers GPT-5.6 Sol automatically while preserving explicit GPT-5.5", async () => { + test("prefers GPT-6 Sol automatically while preserving explicit GPT-5.5", async () => { const openAiModels = getModels("openai"); const codexModels = getModels("chatgpt-subscription"); - const availableModels = [ + const availableModels: Model[] = [ + openAiModels.find((model) => model.id === "gpt-6-sol"), + codexModels.find((model) => model.id === "gpt-6-sol"), openAiModels.find((model) => model.id === "gpt-5.6-sol"), codexModels.find((model) => model.id === "gpt-5.6-sol"), codexModels.find((model) => model.id === "gpt-5.5"), ].filter((model) => model !== undefined); - const runtime = { - getAvailableSnapshot: () => availableModels, - getModel: (provider: string, modelId: string) => - availableModels.find((model) => model.provider === provider && model.id === modelId), - hasConfiguredAuth: () => true, - } as unknown as Parameters[0]["modelRuntime"]; + const runtime = runtimeFor(availableModels); const automatic = await findInitialModel({ scopedModels: [], isContinuing: false, modelRuntime: runtime }); const explicit = await findInitialModel({ @@ -27,9 +36,25 @@ describe("OpenAI provider defaults", () => { modelRuntime: runtime, }); - expect(automatic.model?.id).toBe("gpt-5.6-sol"); + expect(automatic.model?.id).toBe("gpt-6-sol"); expect(automatic.provenance).toBe("provider-default"); expect(explicit.model?.id).toBe("gpt-5.5"); expect(explicit.provenance).toBe("settings"); }); + + test("falls through to first-available when the registry carries GPT-5.6 Sol but not GPT-6 Sol", async () => { + const openAiModels = getModels("openai"); + const availableModels: Model[] = [openAiModels.find((model) => model.id === "gpt-5.6-sol")].filter( + (model) => model !== undefined, + ); + + const automatic = await findInitialModel({ + scopedModels: [], + isContinuing: false, + modelRuntime: runtimeFor(availableModels), + }); + + expect(automatic.model?.id).toBe("gpt-5.6-sol"); + expect(automatic.provenance).toBe("first-available"); + }); }); diff --git a/packages/coding-agent/test/suite/ethos-tips.test.ts b/packages/coding-agent/test/suite/ethos-tips.test.ts index 8d05935c22..5091c1f2d4 100644 --- a/packages/coding-agent/test/suite/ethos-tips.test.ts +++ b/packages/coding-agent/test/suite/ethos-tips.test.ts @@ -51,7 +51,7 @@ describe("ethos tips", () => { "Try ulw-plan on fable-5.1 xhigh. A patient sage obsessed with the essence does the agonizing for you and fills in every blank you were pretending not to see.", ); expect(byId.get("ethos.ulw-loop-shallow")).toBe( - "For days when deep thought sounds awful, run the ulw loop with gpt-5.6-sol fast/medium. Fair warning: shallow thinking sends invoices.", + "For days when deep thought sounds awful, run the ulw loop with gpt-6-sol fast/medium. Fair warning: shallow thinking sends invoices.", ); expect(byId.get("ethos.monitor-subscribe")).toBe( "Subscribe to a command's stdout and forget it. CI finishes, server boots, log line lands... you're mid-edit and the news finds *you*. No sleep loops, no polling, no re-reading context like a chump.", diff --git a/packages/coding-agent/test/suite/interactive-mode-scoped-settings.test.ts b/packages/coding-agent/test/suite/interactive-mode-scoped-settings.test.ts index 4089eb8c8f..210fe338b1 100644 --- a/packages/coding-agent/test/suite/interactive-mode-scoped-settings.test.ts +++ b/packages/coding-agent/test/suite/interactive-mode-scoped-settings.test.ts @@ -119,7 +119,7 @@ describe("InteractiveMode scoped-setting caller compatibility", () => { it("keeps post-auth default model selection on the global-setting setter", async () => { // Given: authentication completes while the session still has the unknown placeholder model. - const defaultModel = { provider: "openai", id: "gpt-5.6-sol" }; + const defaultModel = { provider: "openai", id: "gpt-6-sol" }; const setModel = vi.fn(async () => undefined); const setSessionModel = vi.fn(async () => undefined); const fakeThis = { diff --git a/packages/coding-agent/test/suite/prompt-presets-gpt-6-family.test.ts b/packages/coding-agent/test/suite/prompt-presets-gpt-6-family.test.ts new file mode 100644 index 0000000000..29d1db7dc2 --- /dev/null +++ b/packages/coding-agent/test/suite/prompt-presets-gpt-6-family.test.ts @@ -0,0 +1,139 @@ +import type { Api, Model } from "@earendil-works/pi-ai"; +import { getModels, getProviders } from "@earendil-works/pi-ai/compat"; +import { describe, expect, it } from "vitest"; +import { getApplyPatchWireMode } from "../../src/core/extensions/builtin/gpt-apply-patch/index.ts"; +import { + type PromptPresetSettings, + resolvePreset, + resolvePresetName, +} from "../../src/core/extensions/builtin/prompt-preset/presets.ts"; + +function createModel(id: string, provider = "openai", api: Api = "openai-responses"): Model { + return { + id, + name: id, + api, + provider, + baseUrl: "https://example.com/v1", + reasoning: true, + input: ["text", "image"], + cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, + contextWindow: 400_000, + maxTokens: 128_000, + }; +} + +const AUTO: PromptPresetSettings = { promptPreset: "auto" }; + +function hasGpt6SolOrLunaCatalogSignal(model: Model): boolean { + const searchable = `${model.id} ${model.name}`.toLowerCase().replace(/\s+/g, "-"); + return /(?:^|[/@:._-])gpt[._-]?6[._-](?:sol|luna)(?:$|[/@:._-])/.test(searchable); +} + +function getGpt6SolAndLunaCatalogModels(): Model[] { + return getProviders().flatMap((provider) => + (getModels(provider) as Model[]).filter(hasGpt6SolOrLunaCatalogSignal), + ); +} + +// The OpenAI GPT-6 guide ships one set of prompting practices for Astra, Sol and Luna +// (developers.openai.com/api/docs/guides/latest-model), so the whole family renders the +// gpt-6-astra preset. The preset name stays "gpt-6-astra" because settings.json already pins it. +describe("GPT-6 Sol / Luna prompt preset", () => { + it.each([ + { id: "gpt-6-sol", provider: "openai", api: "openai-responses" as const }, + { id: "gpt-6-luna", provider: "openai", api: "openai-responses" as const }, + { id: "gpt-6-sol-fast", provider: "openai", api: "openai-responses" as const }, + { id: "gpt-6-luna-fast", provider: "chatgpt-subscription", api: "openai-codex-responses" as const }, + { id: "gpt-6-sol", provider: "chatgpt-subscription", api: "openai-codex-responses" as const }, + { id: "gpt-6-sol-2026-09-23", provider: "openai", api: "openai-responses" as const }, + { id: "openai/gpt-6-sol", provider: "openrouter", api: "openai-completions" as const }, + { id: "openai/gpt-6-luna:batch", provider: "openrouter", api: "openai-completions" as const }, + { id: "openai-gpt-6-luna", provider: "venice", api: "openai-completions" as const }, + { id: "global.openai.gpt-6-sol", provider: "amazon-bedrock", api: "bedrock-converse-stream" as const }, + { id: "GPT-6-Luna", provider: "custom", api: "openai-responses" as const }, + { id: "gpt_6_sol", provider: "custom", api: "openai-completions" as const }, + ])("resolves $provider/$id to the GPT-6 family preset", ({ id, provider, api }) => { + // given + const model = createModel(id, provider, api); + + // when + const preset = resolvePreset(model, AUTO); + + // then + expect(preset?.name).toBe("gpt-6-astra"); + expect(preset?.prompt).toContain("## Intent Gate"); + expect(preset?.prompt).toContain("## Initiative"); + }); + + it.each(["GPT-6 Sol", "GPT-6 Luna"])("resolves the display name %s when the id carries no family", (name) => { + // given + const model: Model = { ...createModel("default-model", "custom"), name }; + + // when + const presetName = resolvePresetName(model, AUTO); + + // then + expect(presetName).toBe("gpt-6-astra"); + }); + + it("renders the same prompt for Sol and Luna as for Astra", () => { + // given + const options = { + cwd: "/repo", + selectedTools: ["eval", "read", "bash", "monitor", "task", "todo", "apply_patch"], + toolSnippets: {}, + promptGuidelines: [], + contextFiles: [], + skills: [], + }; + + // when + const astra = resolvePreset(createModel("gpt-6-astra"), AUTO, options); + const sol = resolvePreset(createModel("gpt-6-sol"), AUTO, options); + const luna = resolvePreset(createModel("gpt-6-luna"), AUTO, options); + + // then + expect(sol?.prompt).toBe(astra?.prompt); + expect(luna?.prompt).toBe(astra?.prompt); + expect(sol?.prompt).not.toMatch(/\bAstra\b/); + }); + + it.each(["gpt-5.6-sol", "gpt-5.6-luna", "gpt-5.6-luna-fast", "openai/gpt-5.6-sol"])( + "keeps %s on the gpt-5.6 preset", + (modelId) => { + expect(resolvePresetName(createModel(modelId), AUTO)).toBe("gpt-5.6"); + }, + ); + + it.each(["gpt-6", "gpt-6-mini", "gpt-6.1", "gpt-6-solaris", "gpt-6-lunar", "solar-pro", "luna-1"])( + "does not route %s to the GPT-6 family preset", + (modelId) => { + expect(resolvePresetName(createModel(modelId), AUTO) === "gpt-6-astra").toBe(false); + }, + ); + + it.each(["openai-responses", "azure-openai-responses", "openai-codex-responses"] as const)( + "keeps the preset and the apply_patch gate in agreement on %s for Sol and Luna", + (api) => { + for (const id of ["gpt-6-sol", "gpt-6-luna", "openai/gpt-6-sol-fast"]) { + expect(resolvePresetName({ id, provider: "fixture" }, AUTO)).toBe("gpt-6-astra"); + expect(getApplyPatchWireMode({ api, id })).toBe("freeform"); + } + }, + ); + + it("returns the GPT-6 family preset for every GPT-6 Sol and Luna built-in catalog model", () => { + // given + const catalogModels = getGpt6SolAndLunaCatalogModels(); + expect(catalogModels.length).toBeGreaterThan(0); + + // when + const misses = catalogModels + .filter((model) => resolvePresetName(model, AUTO) !== "gpt-6-astra") + .map((model) => `${model.provider}/${model.id}`); + + // then + expect(misses).toEqual([]); + }); +}); diff --git a/packages/coding-agent/test/suite/recommended-models-extension.test.ts b/packages/coding-agent/test/suite/recommended-models-extension.test.ts index 77085df54a..93c96747de 100644 --- a/packages/coding-agent/test/suite/recommended-models-extension.test.ts +++ b/packages/coding-agent/test/suite/recommended-models-extension.test.ts @@ -21,13 +21,31 @@ afterEach(() => { }); describe("recommended-models builtin", () => { - it("#given the shipped recommendation list #when order is read #then gpt-6-astra high sits directly before gpt-5.6-sol", () => { + it("#given the shipped recommendation list #when order is read #then gpt-6-astra high, gpt-6-sol medium, then gpt-5.6-sol medium", () => { const astraIndex = RECOMMENDED_DEFAULT_MODELS.findIndex(([modelId]) => modelId === "gpt-6-astra"); + const gpt6SolIndex = RECOMMENDED_DEFAULT_MODELS.findIndex(([modelId]) => modelId === "gpt-6-sol"); const solIndex = RECOMMENDED_DEFAULT_MODELS.findIndex(([modelId]) => modelId === "gpt-5.6-sol"); expect(astraIndex).toBeGreaterThanOrEqual(0); - expect(solIndex).toBe(astraIndex + 1); + expect(gpt6SolIndex).toBe(astraIndex + 1); + expect(solIndex).toBe(gpt6SolIndex + 1); expect(RECOMMENDED_DEFAULT_MODELS[astraIndex]?.[1]).toBe("high"); + expect(RECOMMENDED_DEFAULT_MODELS[gpt6SolIndex]?.[1]).toBe("medium"); + }); + + it("#given chatgpt-subscription/gpt-6-sol and gpt-5.6-sol #when an off-list model starts by provider default #then it switches to gpt-6-sol at medium", async () => { + const gpt6Sol = model("gpt-6-sol", "chatgpt-subscription"); + const sol = model("gpt-5.6-sol", "chatgpt-subscription"); + const harness = createHarness({ + active: model("off-list"), + available: [sol, gpt6Sol], + }); + + await harness.start("provider-default"); + + expect(harness.getActiveModel()).toBe(gpt6Sol); + expect(harness.getThinkingLevel()).toBe("medium"); + expect(harness.notices).toEqual([{ message: "Switched to recommended model 'gpt-6-sol'.", type: "info" }]); }); it("#given chatgpt-subscription/gpt-6-astra and sol #when an implicit-fallback provenance starts #then it switches to astra at high", async () => {