Addressing #600 and #664 (partially) ## Bug Codex was staging duplicate items in output running when the same response item appeared in both the streaming events. Specifically: 1. Items would be staged once when received as a `response.output_item.done` event 2. The same items would be staged again when included in the final `response.completed` payload This duplication would result in each message being sent several times in the quiet mode output. ## Changes - Added a Set (`alreadyStagedItemIds`) to track items that have already been staged - Modified the `stageItem` function to check if an item's ID is already in this set before staging it - Added a regression test (`agent-dedupe-items.test.ts`) that verifies items with the same ID are only staged once ## Testing Like other tests, the included test creates a mock OpenAI stream that emits the same message twice (once as an incremental event and once in the final response) and verifies the item is only passed to `onItem` once.
116 lines
3.5 KiB
TypeScript
116 lines
3.5 KiB
TypeScript
import { describe, it, expect, vi } from "vitest";
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// ---------------------------------------------------------------------------
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// This regression test ensures that AgentLoop only surfaces each response item
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// once even when the same item appears multiple times in the OpenAI streaming
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// response (e.g. as an early `response.output_item.done` event *and* again in
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// the final `response.completed` payload).
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// ---------------------------------------------------------------------------
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// Fake OpenAI stream that emits the *same* message twice: first as an
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// incremental output event and then again in the turn completion payload.
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class FakeStream {
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public controller = { abort: vi.fn() };
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async *[Symbol.asyncIterator]() {
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// 1) Early incremental item.
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yield {
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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: "call-dedupe-1",
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role: "assistant",
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content: [{ type: "input_text", text: "Hello!" }],
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},
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} as any;
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// 2) Turn completion containing the *same* item again.
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yield {
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type: "response.completed",
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response: {
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id: "resp-dedupe-1",
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status: "completed",
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output: [
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{
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type: "message",
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id: "call-dedupe-1",
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role: "assistant",
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content: [{ type: "input_text", text: "Hello!" }],
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},
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],
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},
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} as any;
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}
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}
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// Intercept the OpenAI SDK used inside AgentLoop so we can inject our fake
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// streaming implementation.
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vi.mock("openai", () => {
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class FakeOpenAI {
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public responses = {
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create: async () => new FakeStream(),
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};
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}
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class APIConnectionTimeoutError extends Error {}
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return { __esModule: true, default: FakeOpenAI, APIConnectionTimeoutError };
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});
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// Stub approvals / formatting helpers – not relevant here.
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vi.mock("../src/approvals.js", () => ({
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__esModule: true,
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alwaysApprovedCommands: new Set<string>(),
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canAutoApprove: () => ({ type: "auto-approve", runInSandbox: false }) as any,
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isSafeCommand: () => null,
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}));
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vi.mock("../src/format-command.js", () => ({
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__esModule: true,
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formatCommandForDisplay: (cmd: Array<string>) => cmd.join(" "),
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}));
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vi.mock("../src/utils/agent/log.js", () => ({
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__esModule: true,
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log: () => {},
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isLoggingEnabled: () => false,
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}));
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// After the dependency mocks we can import the module under test.
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import { AgentLoop } from "../src/utils/agent/agent-loop.js";
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describe("AgentLoop deduplicates output items", () => {
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it("invokes onItem exactly once for duplicate items with the same id", async () => {
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const received: Array<any> = [];
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const agent = new AgentLoop({
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model: "any",
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instructions: "",
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config: { model: "any", instructions: "", notify: false },
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approvalPolicy: { mode: "auto" } as any,
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additionalWritableRoots: [],
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onItem: (item) => received.push(item),
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onLoading: () => {},
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getCommandConfirmation: async () => ({ review: "yes" }) as any,
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onLastResponseId: () => {},
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});
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const userMsg = [
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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: "hi" }],
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},
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];
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await agent.run(userMsg as any);
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// Give the setTimeout(3ms) inside AgentLoop.stageItem a chance to fire.
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await new Promise((r) => setTimeout(r, 20));
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// Count how many times the duplicate item surfaced.
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const appearances = received.filter((i) => i.id === "call-dedupe-1").length;
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expect(appearances).toBe(1);
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});
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});
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