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import type { AgentEvent, ChatRequest } from "@dispatch/transport-contract";
import { describe, expect, it } from "vitest";
import { fetchModels, streamChat } from "./http.js";
function ndjsonLines(...events: AgentEvent[]): string {
return `${events.map((e) => JSON.stringify(e)).join("\n")}\n`;
}
function makeFakeFetch(responseBody: string, headers?: Record<string, string>) {
const fn = async (_url: string | URL | Request, _init?: RequestInit): Promise<Response> => {
const encoder = new TextEncoder();
const chunks = responseBody.split("|||");
let i = 0;
const stream = new ReadableStream<Uint8Array>({
pull(controller) {
if (i < chunks.length) {
const chunk = chunks[i];
if (chunk !== undefined) controller.enqueue(encoder.encode(chunk));
i++;
} else {
controller.close();
}
},
});
return new Response(stream, {
status: 200,
headers: headers ?? {},
});
};
return fn as unknown as typeof fetch;
}
describe("streamChat", () => {
it("parses NDJSON events and returns conversationId", async () => {
const event1: AgentEvent = {
type: "text-delta",
conversationId: "c1",
turnId: "t1",
delta: "Hello",
};
const event2: AgentEvent = {
type: "done",
conversationId: "c1",
turnId: "t1",
reason: "completed",
};
const body = ndjsonLines(event1, event2);
const fakeFetch = makeFakeFetch(body, { "X-Conversation-Id": "c1" });
const { conversationId, events } = await streamChat(
{ fetchImpl: fakeFetch },
{
server: "http://localhost:24203",
request: { message: "hi", model: "openai/gpt-4" },
},
);
expect(conversationId).toBe("c1");
const collected: AgentEvent[] = [];
for await (const e of events) {
collected.push(e);
}
expect(collected).toEqual([event1, event2]);
});
it("handles NDJSON split across chunks", async () => {
const event1: AgentEvent = {
type: "text-delta",
conversationId: "c",
turnId: "t",
delta: "Hi",
};
const event2: AgentEvent = {
type: "usage",
conversationId: "c",
turnId: "t",
usage: { inputTokens: 10, outputTokens: 5 },
};
const fullNdjson = ndjsonLines(event1, event2);
// Split mid-line: after 20 chars
const mid = 20;
const chunk1 = fullNdjson.slice(0, mid);
const chunk2 = fullNdjson.slice(mid);
const fakeFetch = makeFakeFetch(`${chunk1}|||${chunk2}`, {
"X-Conversation-Id": "c",
});
const { events } = await streamChat(
{ fetchImpl: fakeFetch },
{
server: "http://localhost:24203",
request: { message: "hi" },
},
);
const collected: AgentEvent[] = [];
for await (const e of events) {
collected.push(e);
}
expect(collected).toEqual([event1, event2]);
});
it("throws on non-OK status", async () => {
const fakeFetch = (async (): Promise<Response> =>
new Response("not found", { status: 404 })) as unknown as typeof fetch;
await expect(
streamChat(
{ fetchImpl: fakeFetch },
{
server: "http://localhost:24203",
request: { message: "hi" },
},
),
).rejects.toThrow("POST /chat failed with status 404");
});
it("throws when response has no body", async () => {
const fakeFetch = (async (): Promise<Response> =>
new Response(null, { status: 200 })) as unknown as typeof fetch;
await expect(
streamChat(
{ fetchImpl: fakeFetch },
{
server: "http://localhost:24203",
request: { message: "hi" },
},
),
).rejects.toThrow("no body");
});
it("includes reasoningEffort in request body when set", async () => {
let capturedBody: string | undefined;
const doneEvent: AgentEvent = {
type: "done",
conversationId: "c",
turnId: "t",
reason: "completed",
};
const fakeFetch = async (
_url: string | URL | Request,
init?: RequestInit,
): Promise<Response> => {
capturedBody = init?.body as string;
const encoder = new TextEncoder();
const stream = new ReadableStream<Uint8Array>({
pull(controller) {
controller.enqueue(encoder.encode(`${JSON.stringify(doneEvent)}\n`));
controller.close();
},
});
return new Response(stream, { status: 200 });
};
await streamChat(
{ fetchImpl: fakeFetch as unknown as typeof fetch },
{
server: "http://localhost:24203",
request: { message: "hi", reasoningEffort: "xhigh" },
},
);
expect(capturedBody).toBeDefined();
const parsed = JSON.parse(capturedBody as string) as ChatRequest;
expect(parsed.reasoningEffort).toBe("xhigh");
});
it("omits reasoningEffort from request body when not set", async () => {
let capturedBody: string | undefined;
const doneEvent: AgentEvent = {
type: "done",
conversationId: "c",
turnId: "t",
reason: "completed",
};
const fakeFetch = async (
_url: string | URL | Request,
init?: RequestInit,
): Promise<Response> => {
capturedBody = init?.body as string;
const encoder = new TextEncoder();
const stream = new ReadableStream<Uint8Array>({
pull(controller) {
controller.enqueue(encoder.encode(`${JSON.stringify(doneEvent)}\n`));
controller.close();
},
});
return new Response(stream, { status: 200 });
};
await streamChat(
{ fetchImpl: fakeFetch as unknown as typeof fetch },
{
server: "http://localhost:24203",
request: { message: "hi" },
},
);
expect(capturedBody).toBeDefined();
const parsed = JSON.parse(capturedBody as string) as ChatRequest;
expect(parsed).not.toHaveProperty("reasoningEffort");
});
});
describe("fetchModels", () => {
it("returns ModelsResponse on success", async () => {
const models = { models: ["openai/gpt-4", "anthropic/claude-3"] };
const fakeFetch = (async (): Promise<Response> =>
new Response(JSON.stringify(models), {
status: 200,
headers: { "Content-Type": "application/json" },
})) as unknown as typeof fetch;
const result = await fetchModels(
{ fetchImpl: fakeFetch },
{ server: "http://localhost:24203" },
);
expect(result).toEqual(models);
});
it("throws on non-OK status", async () => {
const fakeFetch = (async (): Promise<Response> =>
new Response("server error", { status: 500 })) as unknown as typeof fetch;
await expect(
fetchModels({ fetchImpl: fakeFetch }, { server: "http://localhost:24203" }),
).rejects.toThrow("GET /models failed with status 500");
});
});
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