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108 lines
3.3 KiB
JavaScript
108 lines
3.3 KiB
JavaScript
// #1998 — Headroom compression treated a Codex (openai-responses) body.input
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// array as OpenAI messages: it sent Responses items to /v1/compress and then
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// assigned the returned OpenAI messages back to body.input, violating the
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// Responses format contract. body.input must stay Responses-shaped.
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import { describe, it, expect, vi, afterEach } from "vitest";
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import { compressWithHeadroom } from "../../open-sse/rtk/headroom.js";
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describe("compressWithHeadroom openai-responses format (#1998)", () => {
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afterEach(() => {
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vi.restoreAllMocks();
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});
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it("keeps body.input in Responses format after compressing an openai-responses request", async () => {
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// Headroom always returns compressed OpenAI-style messages.
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global.fetch = vi.fn(async () => ({
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ok: true,
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json: async () => ({
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messages: [{ role: "user", content: "compressed text" }],
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tokens_before: 100,
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tokens_after: 90,
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tokens_saved: 10,
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}),
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}));
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const body = {
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input: [
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{
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type: "message",
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role: "user",
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content: [{ type: "input_text", text: "a long original message ".repeat(20) }],
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},
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],
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};
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const data = await compressWithHeadroom(body, {
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enabled: true,
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url: "http://headroom.test",
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model: "gpt-5",
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format: "openai-responses",
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});
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expect(data).not.toBeNull();
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// body.input must remain Responses items (type:"message" + content array),
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// NOT the raw OpenAI messages ({ role, content: "<string>" }) the bug produced.
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expect(Array.isArray(body.input)).toBe(true);
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expect(body.input[0]).toMatchObject({ type: "message", role: "user" });
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expect(Array.isArray(body.input[0].content)).toBe(true);
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expect(typeof body.input[0].content).not.toBe("string");
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});
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it("skips Responses tool/reasoning history instead of collapsing it into a message (#2132)", async () => {
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global.fetch = vi.fn(async () => ({
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ok: true,
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json: async () => ({
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messages: [{ role: "user", content: "compressed tool history" }],
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tokens_saved: 10,
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}),
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}));
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const input = [
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{
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type: "message",
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role: "user",
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content: [{ type: "input_text", text: "investigate bug" }],
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},
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{
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type: "function_call",
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call_id: "call_apply_patch_123",
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name: "apply_patch",
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arguments: "*** Begin Patch\n*** End Patch",
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},
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{
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type: "function_call_output",
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call_id: "call_apply_patch_123",
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output: "ok",
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},
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{
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type: "reasoning",
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summary: [{ type: "summary_text", text: "Need a plan" }],
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},
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];
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const body = {
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input: structuredClone(input),
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tools: [
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{
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type: "custom",
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name: "apply_patch",
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format: { type: "grammar", syntax: "lark", definition: "start: /.+/" },
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},
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],
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};
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const diagnostics = {};
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const data = await compressWithHeadroom(body, {
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enabled: true,
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url: "http://headroom.test",
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model: "gpt-5",
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format: "openai-responses",
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diagnostics,
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});
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expect(data).toBeNull();
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expect(global.fetch).not.toHaveBeenCalled();
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expect(body.input).toEqual(input);
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expect(diagnostics.reason).toBe("skipped: openai-responses tool/reasoning input is not safe to compress");
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});
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});
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