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import type { ApiKeyCredentials, ChatMessage, ProviderStreamOptions } from "@dispatch/kernel";
import type { FetchLike } from "@dispatch/trace-replay";
import { describe, expect, it, vi } from "vitest";
import { createOpenAICompatProvider } from "./provider.js";
function makeCreds(): ApiKeyCredentials {
return {
type: "api-key",
apiKey: "sk-test-1234567890abcdef",
baseURL: "https://api.example.com/v1",
};
}
function makeMessages(): readonly ChatMessage[] {
return [{ role: "user", chunks: [{ type: "text", text: "Hello" }] }];
}
function sseBody(...lines: string[]): ReadableStream<Uint8Array> {
const encoder = new TextEncoder();
const chunks = lines.map((l) => encoder.encode(`${l}\n`));
let index = 0;
return new ReadableStream<Uint8Array>({
pull(controller) {
if (index < chunks.length) {
const chunk = chunks[index];
if (chunk === undefined) throw new Error("empty chunk");
controller.enqueue(chunk);
index++;
} else {
controller.close();
}
},
});
}
function okSseResponse(): Response {
return new Response(
sseBody(
'data: {"id":"cmpl-1","choices":[{"delta":{"content":"Hi"},"index":0}]}',
'data: {"id":"cmpl-1","choices":[{"delta":{},"finish_reason":"stop","index":0}]}',
"data: [DONE]",
),
{ status: 200, headers: { "Content-Type": "text/event-stream" } },
);
}
async function collectEvents(iter: AsyncIterable<unknown>): Promise<unknown[]> {
const events: unknown[] = [];
for await (const event of iter) {
events.push(event);
}
return events;
}
describe("createOpenAICompatProvider stamps the given id on the ProviderContract + listModels", () => {
it("stamps opts.id on ProviderContract.id", () => {
const provider = createOpenAICompatProvider({
credentials: makeCreds(),
model: "test-model",
id: "my-custom-id",
});
expect(provider.id).toBe("my-custom-id");
});
it("uses opts.id in listModels error labels (was hardcoded 'openai-compat')", async () => {
const fetchFn = vi.fn(
() =>
new Response("Unauthorized", {
status: 401,
headers: { "Content-Type": "text/plain" },
}) as unknown as ReturnType<FetchLike>,
);
const provider = createOpenAICompatProvider({
credentials: makeCreds(),
model: "test-model",
id: "my-custom-id",
fetchFn,
});
const listModels = provider.listModels;
if (!listModels) throw new Error("listModels not defined");
await expect(listModels()).rejects.toThrow("listModels[my-custom-id]: HTTP 401 — Unauthorized");
});
it("exposes getUsage that returns the upstream concurrent_sessions", async () => {
const fetchFn = vi.fn(
() =>
new Response(JSON.stringify({ usage: { concurrent_sessions: 2 } }), {
status: 200,
headers: { "Content-Type": "application/json" },
}) as unknown as ReturnType<FetchLike>,
);
const provider = createOpenAICompatProvider({
credentials: makeCreds(),
model: "test-model",
id: "umans",
fetchFn,
});
const getUsage = provider.getUsage;
if (!getUsage) throw new Error("getUsage not defined");
const usage = await getUsage();
expect(usage).toEqual({ concurrentSessions: 2 });
});
});
describe("transformBody", () => {
it("transformBody merges its returned fields into the request body", async () => {
let capturedInit: RequestInit | undefined;
const fetchFn = vi.fn(async (_url: string | URL | Request, init?: RequestInit) => {
capturedInit = init;
return okSseResponse();
}) as unknown as FetchLike;
let receivedBody: Record<string, unknown> | undefined;
let receivedOpts: ProviderStreamOptions | undefined;
const provider = createOpenAICompatProvider({
credentials: makeCreds(),
model: "test-model",
id: "umans",
fetchFn,
transformBody: (body, opts) => {
receivedBody = body;
receivedOpts = opts;
return { reasoning_effort: "high" };
},
});
await collectEvents(provider.stream(makeMessages(), [], { temperature: 0.5 }));
// The hook was called with the body built so far + the stream opts.
expect(receivedBody).toBeDefined();
expect(receivedOpts?.temperature).toBe(0.5);
expect(receivedBody?.model).toBe("test-model");
// The captured wire body carries the merged field.
expect(capturedInit?.body).toBeTypeOf("string");
const wireBody = JSON.parse(capturedInit?.body as string) as Record<string, unknown>;
expect(wireBody.reasoning_effort).toBe("high");
expect(wireBody.model).toBe("test-model");
expect(wireBody.stream).toBe(true);
expect(wireBody.temperature).toBe(0.5);
});
it("transformBody absent → body byte-identical to before (regression)", async () => {
let capturedInit: RequestInit | undefined;
const fetchFn = vi.fn(async (_url: string | URL | Request, init?: RequestInit) => {
capturedInit = init;
return okSseResponse();
}) as unknown as FetchLike;
const provider = createOpenAICompatProvider({
credentials: makeCreds(),
model: "test-model",
id: "openai-compat",
fetchFn,
// No transformBody — default behavior.
});
await collectEvents(provider.stream(makeMessages(), [], { temperature: 0.5, maxTokens: 42 }));
expect(capturedInit?.body).toBeTypeOf("string");
const wireBody = JSON.parse(capturedInit?.body as string) as Record<string, unknown>;
// Exact pre-refactor shape — no extra fields, no transformBody key leakage.
expect(wireBody).toEqual({
model: "test-model",
messages: [{ role: "user", content: "Hello" }],
stream: true,
stream_options: { include_usage: true },
temperature: 0.5,
max_tokens: 42,
});
expect("reasoning_effort" in wireBody).toBe(false);
});
});
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