138 lines
4.8 KiB
TypeScript
138 lines
4.8 KiB
TypeScript
// tests/unit/chatcore-upstream-body.test.ts
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// Characterization of prepareUpstreamBody — the first internal sub-slice of executeProviderRequest
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// (chatCore god-file decomposition, #3501). Uses a fresh temp DB (no payload rules / no detected
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// tool limits → defaults). Locks: target-model pinning, the Qwen OAuth user backfill (and its
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// guards), and the prompt_cache_key gating (excluded providers + non-OPENAI format never inject).
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import { test, before, after } from "node:test";
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import assert from "node:assert/strict";
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import fs from "node:fs";
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import os from "node:os";
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import path from "node:path";
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const testDataDir = fs.mkdtempSync(path.join(os.tmpdir(), "omni-upstream-body-test-"));
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process.env.DATA_DIR = testDataDir;
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const coreDb = await import("../../src/lib/db/core.ts");
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const { prepareUpstreamBody } = await import("../../open-sse/handlers/chatCore/upstreamBody.ts");
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before(async () => {
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await coreDb.ensureDbInitialized();
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});
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after(() => {
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coreDb.resetDbInstance();
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fs.rmSync(testDataDir, { recursive: true, force: true });
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});
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test("pins the target model when it differs from the translated body model", async () => {
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const out = await prepareUpstreamBody({
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translatedBody: { model: "model-a", messages: [] },
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modelToCall: "model-b",
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provider: "some-provider",
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targetFormat: "claude",
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credentials: null,
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});
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assert.equal(out.model, "model-b");
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});
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test("leaves the model untouched when it already matches", async () => {
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const out = await prepareUpstreamBody({
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translatedBody: { model: "model-a", messages: [] },
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modelToCall: "model-a",
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provider: "some-provider",
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targetFormat: "claude",
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credentials: null,
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});
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assert.equal(out.model, "model-a");
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});
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// PR #5563: the `effectiveToolLimit < MAX_TOOLS_LIMIT` gate was removed from
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// truncateToolList, so providers whose proactive limit is >= the 128 default
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// (e.g. grok-cli at 200) are actually truncated. Without the gate removal these
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// two assertions fail (250 tools would pass through untruncated).
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test("truncates the tool list to the grok-cli proactive limit (200) when exceeded", async () => {
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const tools = Array.from({ length: 250 }, (_, i) => ({
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type: "function",
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function: { name: `tool_${i}`, parameters: {} },
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}));
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const out = await prepareUpstreamBody({
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translatedBody: { model: "grok-cli-model", messages: [], tools },
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modelToCall: "grok-cli-model",
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provider: "grok-cli",
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targetFormat: "claude",
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credentials: null,
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});
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assert.ok(Array.isArray(out.tools));
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assert.equal(out.tools.length, 200);
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});
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test("preserves the full tool list when within the grok-cli limit", async () => {
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const tools = Array.from({ length: 150 }, (_, i) => ({
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type: "function",
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function: { name: `tool_${i}`, parameters: {} },
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}));
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const out = await prepareUpstreamBody({
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translatedBody: { model: "grok-cli-model", messages: [], tools },
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modelToCall: "grok-cli-model",
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provider: "grok-cli",
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targetFormat: "claude",
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credentials: null,
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});
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assert.equal(out.tools.length, 150);
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});
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test("backfills the Qwen OAuth user when missing", async () => {
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const out = await prepareUpstreamBody({
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translatedBody: { model: "qwen-max", messages: [] },
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modelToCall: "qwen-max",
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provider: "qwen",
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targetFormat: "claude",
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credentials: { accessToken: "tok-123" },
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});
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assert.equal(out.user, "omniroute-qwen-oauth");
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});
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test("does not backfill the Qwen user when an apiKey is present (API-key mode)", async () => {
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const out = await prepareUpstreamBody({
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translatedBody: { model: "qwen-max", messages: [] },
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modelToCall: "qwen-max",
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provider: "qwen",
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targetFormat: "claude",
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credentials: { apiKey: "k", accessToken: "tok-123" },
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});
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assert.equal(out.user, undefined);
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});
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test("does not backfill the Qwen user when one is already set", async () => {
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const out = await prepareUpstreamBody({
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translatedBody: { model: "qwen-max", messages: [], user: "real-user" },
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modelToCall: "qwen-max",
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provider: "qwen",
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targetFormat: "claude",
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credentials: { accessToken: "tok-123" },
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});
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assert.equal(out.user, "real-user");
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});
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test("never injects prompt_cache_key for an excluded provider (codex)", async () => {
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const out = await prepareUpstreamBody({
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translatedBody: { model: "gpt-5-codex", messages: [{ role: "user", content: "hi" }] },
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modelToCall: "gpt-5-codex",
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provider: "codex",
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targetFormat: "openai",
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credentials: null,
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});
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assert.equal(out.prompt_cache_key, undefined);
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});
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test("never injects prompt_cache_key when the target format is not OpenAI", async () => {
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const out = await prepareUpstreamBody({
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translatedBody: { model: "claude-x", messages: [{ role: "user", content: "hi" }] },
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modelToCall: "claude-x",
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provider: "claude",
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targetFormat: "claude",
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credentials: null,
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});
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assert.equal(out.prompt_cache_key, undefined);
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});
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