wehub-resource-sync
104 lines
4.6 KiB
TypeScript
104 lines
4.6 KiB
TypeScript
/**
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* Tests for detectFormatFromEndpoint — the endpoint-aware format detector that
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* fixes Cursor Responses-API bodies sent to /chat/completions.
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*
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* Cursor sends Responses-API-shaped payloads (with `input`, `reasoning.effort`,
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* `prompt_cache_retention`) to /v1/chat/completions. Without the body-sniff on
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* the chat/completions path the detector returned "openai", the translator built
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* `input` from `messages` (undefined), and the upstream received an empty input.
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*/
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import test from "node:test";
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import assert from "node:assert/strict";
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const { detectFormatFromEndpoint } = await import("../../open-sse/services/provider.ts");
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// ── /responses path ──────────────────────────────────────────────────────────
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test("detectFormatFromEndpoint: /responses path → openai-responses regardless of body", () => {
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assert.equal(detectFormatFromEndpoint({}, "/v1/responses"), "openai-responses");
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assert.equal(detectFormatFromEndpoint({ messages: [] }, "/responses"), "openai-responses");
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});
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// ── /messages path ────────────────────────────────────────────────────────────
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test("detectFormatFromEndpoint: /messages path → claude", () => {
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assert.equal(detectFormatFromEndpoint({}, "/v1/messages"), "claude");
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assert.equal(detectFormatFromEndpoint({ messages: [] }, "messages"), "claude");
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});
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// ── /chat/completions path — standard OpenAI body ────────────────────────────
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test("detectFormatFromEndpoint: /chat/completions with messages array → openai", () => {
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const body = { model: "gpt-4o", messages: [{ role: "user", content: "hi" }] };
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assert.equal(detectFormatFromEndpoint(body, "/v1/chat/completions"), "openai");
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});
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test("detectFormatFromEndpoint: /chat/completions with empty messages array → openai", () => {
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assert.equal(detectFormatFromEndpoint({ messages: [] }, "/v1/chat/completions"), "openai");
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});
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// ── /chat/completions path — Cursor Responses-API body ───────────────────────
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test("detectFormatFromEndpoint: /chat/completions with input but no messages → openai-responses", () => {
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const cursorBody = {
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model: "gpt-4o",
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input: [{ role: "user", content: "hello" }],
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reasoning: { effort: "high" },
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};
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assert.equal(detectFormatFromEndpoint(cursorBody, "/v1/chat/completions"), "openai-responses");
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});
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test("detectFormatFromEndpoint: /chat/completions with string input and no messages → openai-responses", () => {
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assert.equal(
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detectFormatFromEndpoint({ input: "hello" }, "/chat/completions"),
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"openai-responses"
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);
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});
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test("detectFormatFromEndpoint: /chat/completions with input AND messages → openai (messages wins)", () => {
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// When both fields are present the body is ambiguous; treat it as a normal
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// chat-completions request so that the existing messages path is preserved.
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const body = { input: "hi", messages: [{ role: "user", content: "hi" }] };
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assert.equal(detectFormatFromEndpoint(body, "/v1/chat/completions"), "openai");
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});
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test("detectFormatFromEndpoint: /chat/completions with input: undefined → openai (falsy input ignored)", () => {
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assert.equal(
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detectFormatFromEndpoint({ input: undefined, model: "x" }, "/v1/chat/completions"),
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"openai"
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);
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});
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// ── /completions (non-chat) path ─────────────────────────────────────────────
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test("detectFormatFromEndpoint: /completions path with messages → openai", () => {
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assert.equal(
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detectFormatFromEndpoint({ messages: [] }, "/v1/completions"),
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"openai"
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);
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});
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test("detectFormatFromEndpoint: /completions path with input and no messages → openai-responses", () => {
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assert.equal(
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detectFormatFromEndpoint({ input: "hello" }, "/completions"),
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"openai-responses"
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);
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});
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// ── No path / unknown path — falls back to body-based detection ───────────────
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test("detectFormatFromEndpoint: no path falls back to body-based detectFormat", () => {
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// Pure messages body → openai
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assert.equal(
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detectFormatFromEndpoint({ messages: [{ role: "user", content: "hi" }] }),
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"openai"
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);
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});
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test("detectFormatFromEndpoint: unknown path falls back to body-based detectFormat", () => {
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assert.equal(
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detectFormatFromEndpoint({ messages: [] }, "/v1/custom/endpoint"),
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"openai"
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);
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});
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