49 lines
1.6 KiB
TypeScript
49 lines
1.6 KiB
TypeScript
import type { ResponseOutputMessage } from "openai/resources/responses/responses.js";
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import { describe, expect, it } from "vitest";
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import { getModel } from "../src/models.ts";
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import { convertResponsesMessages } from "../src/providers/openai-responses-shared.ts";
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import type { AssistantMessage, Context, Usage } from "../src/types.ts";
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const usage: Usage = {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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totalTokens: 0,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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};
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describe("OpenAI Responses message ID conversion", () => {
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it("generates unique fallback message IDs for multiple text blocks in one assistant turn", () => {
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const model = getModel("openai-codex", "gpt-5.5");
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const assistant: AssistantMessage = {
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role: "assistant",
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content: [
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{ type: "thinking", thinking: "private reasoning" },
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{ type: "text", text: "visible answer" },
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],
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api: "anthropic-messages",
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provider: "anthropic",
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model: "claude-opus-4-8",
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usage,
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stopReason: "stop",
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timestamp: Date.now() - 1000,
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};
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const context: Context = {
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systemPrompt: "You are concise.",
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messages: [{ role: "user", content: "hello", timestamp: Date.now() - 2000 }, assistant],
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};
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const input = convertResponsesMessages(model, context, new Set(["openai", "openai-codex", "opencode"]));
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const messageIds = input
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.filter(
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(item): item is ResponseOutputMessage =>
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item.type === "message" && "id" in item && typeof item.id === "string",
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)
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.map((item) => item.id);
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expect(messageIds).toEqual(["msg_pi_1", "msg_pi_1_1"]);
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expect(new Set(messageIds).size).toBe(messageIds.length);
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});
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});
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