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import { Type } from "typebox";
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import { beforeEach, describe, expect, it, vi } from "vitest";
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import { streamOpenAICompletions } from "../src/providers/openai-completions.ts";
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import type { AssistantMessage, Model, Tool } from "../src/types.ts";
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const mockState = vi.hoisted(() => ({
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chunkSets: [] as unknown[][],
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payloads: [] as unknown[],
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}));
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vi.mock("openai", () => {
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class FakeOpenAI {
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chat = {
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completions: {
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create: (payload: unknown) => {
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mockState.payloads.push(payload);
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const chunks = mockState.chunkSets.shift() ?? [];
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const stream = {
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async *[Symbol.asyncIterator]() {
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for (const chunk of chunks) {
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yield chunk;
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}
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},
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};
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const result = Promise.resolve(stream) as Promise<typeof stream> & {
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withResponse: () => Promise<{ data: typeof stream; response: { status: number; headers: Headers } }>;
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};
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result.withResponse = async () => ({
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data: stream,
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response: { status: 200, headers: new Headers() },
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});
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return result;
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},
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},
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};
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}
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return { default: FakeOpenAI };
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});
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const reasoningDetail = { type: "reasoning.encrypted", id: "call_1", data: "encrypted-signature" };
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const readTool: Tool = {
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name: "read",
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description: "Read a file",
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parameters: Type.Object({ path: Type.String() }),
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};
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function model(): Model<"openai-completions"> {
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return {
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id: "google/gemini-test",
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name: "Gemini Test",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: true,
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input: ["text"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 100_000,
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maxTokens: 4096,
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};
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}
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function chunk(delta: Record<string, unknown>, finishReason: string | null = null): unknown {
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return {
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id: "chatcmpl-test",
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model: "google/gemini-test",
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choices: [{ index: 0, delta, finish_reason: finishReason }],
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};
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}
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function toolCallChunk(): unknown {
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return chunk({
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tool_calls: [
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{
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index: 0,
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id: "call_1",
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type: "function",
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function: { name: "read", arguments: '{"path":"README.md"}' },
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},
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],
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});
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}
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async function runOpenAICompletionsStream(messages: AssistantMessage[] = []): Promise<AssistantMessage> {
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return await streamOpenAICompletions(model(), { messages, tools: [readTool] }, { apiKey: "test" }).result();
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}
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function getAssistantPayload(payload: unknown): { reasoning_details?: unknown } | undefined {
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const messages = (payload as { messages?: Array<{ role?: string; reasoning_details?: unknown }> }).messages ?? [];
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return messages.find((message) => message.role === "assistant");
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}
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describe("openai-completions reasoning_details streaming", () => {
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beforeEach(() => {
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mockState.chunkSets = [];
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mockState.payloads = [];
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});
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it("preserves reasoning_details that arrive before their matching tool call", async () => {
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mockState.chunkSets = [
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[chunk({ reasoning_details: [reasoningDetail] }), toolCallChunk(), chunk({}, "tool_calls")],
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[chunk({ content: "ok" }), chunk({}, "stop")],
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];
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const assistantMessage = await runOpenAICompletionsStream();
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const toolCall = assistantMessage.content.find((block) => block.type === "toolCall");
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expect(toolCall).toMatchObject({
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type: "toolCall",
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id: "call_1",
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name: "read",
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arguments: { path: "README.md" },
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thoughtSignature: JSON.stringify(reasoningDetail),
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});
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await runOpenAICompletionsStream([assistantMessage]);
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expect(getAssistantPayload(mockState.payloads[1])?.reasoning_details).toEqual([reasoningDetail]);
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});
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});
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