60 lines
2.0 KiB
TypeScript
60 lines
2.0 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import { agentCommand, installGatewayTestHooks, withGatewayServer } from "./test-helpers.js";
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installGatewayTestHooks({ scope: "test" });
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const OPENAI_SERVER_OPTIONS = {
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host: "127.0.0.1",
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auth: { mode: "token" as const, token: "secret" },
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controlUiEnabled: false,
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openAiChatCompletionsEnabled: true,
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};
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async function runOpenAiMessageChannelRequest(params?: { messageChannelHeader?: string }) {
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agentCommand.mockReset();
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agentCommand.mockResolvedValueOnce({ payloads: [{ text: "ok" }] } as never);
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let firstCall: { messageChannel?: string } | undefined;
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await withGatewayServer(
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async ({ port }) => {
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const headers: Record<string, string> = {
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"content-type": "application/json",
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authorization: "Bearer secret",
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};
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if (params?.messageChannelHeader) {
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headers["x-openclaw-message-channel"] = params.messageChannelHeader;
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}
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const res = await fetch(`http://127.0.0.1:${port}/v1/chat/completions`, {
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method: "POST",
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headers,
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body: JSON.stringify({
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model: "openclaw",
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messages: [{ role: "user", content: "hi" }],
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}),
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});
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expect(res.status).toBe(200);
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firstCall = (agentCommand.mock.calls[0] as unknown[] | undefined)?.[0] as
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| { messageChannel?: string }
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| undefined;
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await res.text();
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},
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{ serverOptions: OPENAI_SERVER_OPTIONS },
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);
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return firstCall;
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}
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describe("OpenAI HTTP message channel", () => {
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it("passes x-openclaw-message-channel through to agentCommand", async () => {
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const firstCall = await runOpenAiMessageChannelRequest({
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messageChannelHeader: "custom-client-channel",
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});
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expect(firstCall?.messageChannel).toBe("custom-client-channel");
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});
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it("defaults messageChannel to webchat when header is absent", async () => {
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const firstCall = await runOpenAiMessageChannelRequest();
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expect(firstCall?.messageChannel).toBe("webchat");
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});
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});
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