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fix/10244-
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fix/10249-
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fb9984760c |
1
changelog.d/fixes/10249-dedup-hash-collision.md
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1
changelog.d/fixes/10249-dedup-hash-collision.md
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- fix(open-sse): stop concurrent requests colliding on the same dedup hash for non-OpenAI target formats (#10249)
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@@ -36,12 +36,19 @@ const inflight = new Map<string, Promise<unknown>>();
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* Compute a deterministic hash for a request body.
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* Includes: model, messages, temperature, tools, tool_choice, max_tokens, response_format
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* Excludes: stream, user, metadata (don't affect LLM output)
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*
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* The prompt content can live under different keys depending on the target
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* provider format the body has already been translated to: OpenAI-style
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* bodies use `messages`, Gemini-translated bodies use `contents`, and
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* Responses-API-translated bodies use `input`. Falling back to only
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* `messages` made every non-OpenAI-format body hash the prompt as `null`,
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* colliding different prompts onto the same dedup hash (#10249).
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*/
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export function computeRequestHash(requestBody: unknown): string {
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const body = requestBody as Record<string, unknown>;
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const canonical = {
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model: body.model ?? null,
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messages: body.messages ?? null,
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messages: body.messages ?? body.contents ?? body.input ?? null,
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temperature: typeof body.temperature === "number" ? body.temperature : 1.0,
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tools: body.tools ?? null,
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tool_choice: body.tool_choice ?? null,
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91
tests/unit/request-dedup-10249.test.ts
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91
tests/unit/request-dedup-10249.test.ts
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import { test } from "node:test";
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import assert from "node:assert/strict";
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import { computeRequestHash, deduplicate, clearInflight } from "../../open-sse/services/requestDedup.ts";
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// Regression tests for #10249: the dedup hash used to read only `body.messages`,
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// so translated (target-format) bodies that carry the prompt under a different
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// key (`contents` for Gemini, `input` for the Responses API) always hashed the
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// prompt as `null`. Concurrent requests with different prompts then collided on
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// the same dedup hash, joined the same in-flight promise, and the second caller
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// silently received the first caller's response.
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test("Gemini-format translated bodies with different prompts must NOT collide on dedup hash", async () => {
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clearInflight();
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const bodyA = {
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contents: [{ role: "user", parts: [{ text: "Summarize the Q3 financial report attached." }] }],
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temperature: 0,
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};
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const bodyB = {
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contents: [{ role: "user", parts: [{ text: "Extract every invoice number from the attached PDF." }] }],
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temperature: 0,
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};
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const hashA = computeRequestHash({ ...bodyA, model: "gemini/gemini-2.5-flash", stream: false });
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const hashB = computeRequestHash({ ...bodyB, model: "gemini/gemini-2.5-flash", stream: false });
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assert.notEqual(hashA, hashB, "Different prompts must have different dedup hashes");
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const [resA, resB] = await Promise.all([
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deduplicate(hashA, async () => "RESPONSE_A"),
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deduplicate(hashB, async () => "RESPONSE_B"),
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]);
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assert.equal(resA.result, "RESPONSE_A");
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assert.equal(resB.result, "RESPONSE_B");
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assert.equal(resB.wasDeduplicated, false);
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});
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test("Responses-API input-format translated bodies with different prompts must NOT collide", async () => {
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clearInflight();
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const bodyA = {
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input: [{ role: "user", content: [{ type: "input_text", text: "What is the capital of France?" }] }],
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temperature: 0,
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};
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const bodyB = {
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input: [{ role: "user", content: [{ type: "input_text", text: "Explain quantum entanglement." }] }],
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temperature: 0,
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};
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const hashA = computeRequestHash({ ...bodyA, model: "openai/gpt-4.1", stream: false });
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const hashB = computeRequestHash({ ...bodyB, model: "openai/gpt-4.1", stream: false });
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assert.notEqual(hashA, hashB, "Different prompts must have different dedup hashes");
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const [resA, resB] = await Promise.all([
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deduplicate(hashA, async () => "RESPONSE_A"),
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deduplicate(hashB, async () => "RESPONSE_B"),
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]);
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assert.equal(resA.result, "RESPONSE_A");
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assert.equal(resB.result, "RESPONSE_B");
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assert.equal(resB.wasDeduplicated, false);
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});
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test("Sanity: OpenAI-format bodies with different prompts DO get distinct hashes (unchanged behavior)", () => {
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const bodyA = { messages: [{ role: "user", content: "Hello there" }], temperature: 0 };
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const bodyB = { messages: [{ role: "user", content: "Goodbye now" }], temperature: 0 };
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const hashA = computeRequestHash({ ...bodyA, model: "openai/gpt-4.1", stream: false });
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const hashB = computeRequestHash({ ...bodyB, model: "openai/gpt-4.1", stream: false });
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assert.notEqual(hashA, hashB);
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});
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test("Genuinely identical requests still hash identically and get deduplicated (perf feature preserved)", async () => {
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clearInflight();
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const body = {
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contents: [{ role: "user", parts: [{ text: "Same prompt text every time" }] }],
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temperature: 0,
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};
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const hash1 = computeRequestHash({ ...body, model: "gemini/gemini-2.5-flash", stream: false });
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const hash2 = computeRequestHash({ ...body, model: "gemini/gemini-2.5-flash", stream: false });
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assert.equal(hash1, hash2, "Identical bodies must still produce the same hash");
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let callCount = 0;
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const slowFn = async () => {
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callCount += 1;
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await new Promise((resolve) => setTimeout(resolve, 20));
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return "SHARED_RESPONSE";
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};
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const [resA, resB] = await Promise.all([
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deduplicate(hash1, slowFn),
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deduplicate(hash2, slowFn),
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]);
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assert.equal(resA.result, "SHARED_RESPONSE");
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assert.equal(resB.result, "SHARED_RESPONSE");
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assert.equal(callCount, 1, "Identical concurrent requests must share a single upstream call");
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assert.equal(resA.wasDeduplicated === true || resB.wasDeduplicated === true, true);
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});
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