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fix(ai): clamp minimal reasoning for gpt-5.3-codex (fixes #1334)
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2 changed files with 97 additions and 1 deletions
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@ -282,7 +282,7 @@ function buildRequestBody(
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function clampReasoningEffort(modelId: string, effort: string): string {
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const id = modelId.includes("/") ? modelId.split("/").pop()! : modelId;
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if (id.startsWith("gpt-5.2") && effort === "minimal") return "low";
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if ((id.startsWith("gpt-5.2") || id.startsWith("gpt-5.3")) && effort === "minimal") return "low";
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if (id === "gpt-5.1" && effort === "xhigh") return "high";
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if (id === "gpt-5.1-codex-mini") return effort === "high" || effort === "xhigh" ? "high" : "medium";
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return effort;
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@ -231,6 +231,102 @@ describe("openai-codex streaming", () => {
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await streamResult.result();
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});
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it("clamps gpt-5.3-codex minimal reasoning effort to low", async () => {
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const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
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process.env.PI_CODING_AGENT_DIR = tempDir;
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const payload = Buffer.from(
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JSON.stringify({ "https://api.openai.com/auth": { chatgpt_account_id: "acc_test" } }),
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"utf8",
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).toString("base64");
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const token = `aaa.${payload}.bbb`;
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const sse = `${[
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`data: ${JSON.stringify({
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type: "response.output_item.added",
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item: { type: "message", id: "msg_1", role: "assistant", status: "in_progress", content: [] },
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})}`,
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`data: ${JSON.stringify({ type: "response.content_part.added", part: { type: "output_text", text: "" } })}`,
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`data: ${JSON.stringify({ type: "response.output_text.delta", delta: "Hello" })}`,
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`data: ${JSON.stringify({
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type: "response.output_item.done",
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item: {
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type: "message",
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id: "msg_1",
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role: "assistant",
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status: "completed",
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content: [{ type: "output_text", text: "Hello" }],
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},
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})}`,
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`data: ${JSON.stringify({
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type: "response.completed",
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response: {
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status: "completed",
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usage: {
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input_tokens: 5,
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output_tokens: 3,
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total_tokens: 8,
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input_tokens_details: { cached_tokens: 0 },
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},
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},
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})}`,
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].join("\n\n")}\n\n`;
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const encoder = new TextEncoder();
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const stream = new ReadableStream<Uint8Array>({
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start(controller) {
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controller.enqueue(encoder.encode(sse));
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controller.close();
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},
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});
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const fetchMock = vi.fn(async (input: string | URL, init?: RequestInit) => {
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const url = typeof input === "string" ? input : input.toString();
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if (url === "https://api.github.com/repos/openai/codex/releases/latest") {
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return new Response(JSON.stringify({ tag_name: "rust-v0.0.0" }), { status: 200 });
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}
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if (url.startsWith("https://raw.githubusercontent.com/openai/codex/")) {
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return new Response("PROMPT", { status: 200, headers: { etag: '"etag"' } });
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}
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if (url === "https://chatgpt.com/backend-api/codex/responses") {
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const body = typeof init?.body === "string" ? (JSON.parse(init.body) as Record<string, unknown>) : null;
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expect(body?.reasoning).toEqual({ effort: "low", summary: "auto" });
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return new Response(stream, {
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status: 200,
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headers: { "content-type": "text/event-stream" },
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});
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}
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return new Response("not found", { status: 404 });
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});
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global.fetch = fetchMock as typeof fetch;
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const model: Model<"openai-codex-responses"> = {
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id: "gpt-5.3-codex",
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name: "GPT-5.3 Codex",
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api: "openai-codex-responses",
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provider: "openai-codex",
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baseUrl: "https://chatgpt.com/backend-api",
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reasoning: true,
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input: ["text"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 400000,
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maxTokens: 128000,
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};
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const context: Context = {
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systemPrompt: "You are a helpful assistant.",
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messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
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};
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const streamResult = streamOpenAICodexResponses(model, context, {
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apiKey: token,
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reasoningEffort: "minimal",
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});
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await streamResult.result();
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});
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it("does not set conversation_id/session_id headers when sessionId is not provided", async () => {
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const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
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process.env.PI_CODING_AGENT_DIR = tempDir;
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