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fix(ai): use 500K context window for Codex GPT-6.1 Sol
The Codex models endpoint now returns context_window=500000 for gpt-6.1-sol; other Codex models still return 272000. fixes #10840
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3 changed files with 10 additions and 6 deletions
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@ -20,6 +20,7 @@
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- Fixed OpenAI-compatible responses showing thinking after the answer when a proxy such as LiteLLM sends reasoning and content in the same stream chunk ([#10926](https://github.com/earendil-works/pi/issues/10926))
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- Fixed Gemini 4 Argon requests on Google Vertex failing with "Thinking budget is not supported", and its thinking level being ignored on the Gemini API, by sending `thinkingLevel` for Gemini 4 and later models ([#10890](https://github.com/earendil-works/pi/issues/10890))
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- Fixed Xiaomi MiMo models failing with a 400 at the `minimal` thinking level by sending only the documented thinking on/off toggle and exposing only the `off` and `high` levels ([#10818](https://github.com/earendil-works/pi/issues/10818))
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- Fixed `openai-codex/gpt-6.1-sol` using a 272K context window instead of the 500K window Codex now provides ([#10840](https://github.com/earendil-works/pi/issues/10840))
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## [1.2.0] - 2026-10-12
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@ -3129,8 +3129,10 @@ async function generateModels() {
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// OpenAI Codex (ChatGPT OAuth) models
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// NOTE: These are not fetched from models.dev; we keep a small, explicit list to avoid aliases.
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// Older model limits are based on observed server behavior; GPT-5.6 and GPT-6 use Codex's 272k default catalog limit.
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// GPT-6.1 Sol uses the 500k default returned by /backend-api/codex/models.
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const CODEX_BASE_URL = "https://chatgpt.com/backend-api";
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const CODEX_CONTEXT = 272000;
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const CODEX_GPT_61_SOL_CONTEXT = 500000;
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const CODEX_GPT_56_CONTEXT = 272000;
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const CODEX_SPARK_CONTEXT = 128000;
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const CODEX_MAX_TOKENS = 128000;
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@ -3144,7 +3146,7 @@ async function generateModels() {
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reasoning: true,
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input: ["text", "image"],
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cost: withOpenAiLongContextPricing(OPENAI_STANDARD_COSTS["gpt-6.1-sol"]),
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contextWindow: CODEX_CONTEXT,
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contextWindow: CODEX_GPT_61_SOL_CONTEXT,
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maxTokens: CODEX_MAX_TOKENS,
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},
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{
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@ -125,10 +125,11 @@ describe("getSupportedThinkingLevels", () => {
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});
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it.each([
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["gpt-6-sol", { input: 2, output: 10, cacheRead: 0.2, cacheWrite: 2.5 }],
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["gpt-6-luna", { input: 0.1, output: 0.5, cacheRead: 0.01, cacheWrite: 0.125 }],
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["gpt-6.1-sol", { input: 2, output: 10, cacheRead: 0.1, cacheWrite: 2.5 }],
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] as const)("includes official metadata for OpenAI and Codex %s", (modelId, cost) => {
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["gpt-6-sol", { input: 2, output: 10, cacheRead: 0.2, cacheWrite: 2.5 }, 272000],
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["gpt-6-luna", { input: 0.1, output: 0.5, cacheRead: 0.01, cacheWrite: 0.125 }, 272000],
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// Codex serves GPT-6.1 Sol with a 500K default context window (#10840)
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["gpt-6.1-sol", { input: 2, output: 10, cacheRead: 0.1, cacheWrite: 2.5 }, 500000],
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] as const)("includes official metadata for OpenAI and Codex %s", (modelId, cost, codexContextWindow) => {
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for (const provider of ["openai", "openai-codex"] as const) {
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const model = getModel(provider, modelId);
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expect(model).toMatchObject({
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@ -145,7 +146,7 @@ describe("getSupportedThinkingLevels", () => {
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},
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],
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},
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contextWindow: 272000,
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contextWindow: provider === "openai-codex" ? codexContextWindow : 272000,
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maxTokens: 128000,
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compat: {
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supportsAdditionalTools: true,
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