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chore: import upstream snapshot with attribution
2026-07-13 12:43:05 +08:00

62 lines
2.1 KiB
TypeScript

/**
* Live end-to-end suite driving the real OpenAI endpoints through the registered
* plugin handlers. Runs only when credentials are present.
*/
import { ModelType } from "@elizaos/core";
import { expect, it } from "vitest";
import { describeLive } from "../../../packages/app-core/test/helpers/live-agent-test";
import { openaiPlugin } from "../index";
import { getAuthHeader, getBaseURL } from "../utils/config";
describeLive(
"OpenAI plugin live",
{ provider: "openai", requiredEnv: ["OPENAI_API_KEY"] },
({ harness }) => {
it("connects to the live models endpoint", async () => {
const { runtime } = harness();
const response = await fetch(`${getBaseURL(runtime)}/models`, {
headers: getAuthHeader(runtime),
});
expect(response.ok).toBe(true);
const payload = (await response.json()) as { data?: unknown[] };
expect(Array.isArray(payload.data)).toBe(true);
expect(payload.data?.length ?? 0).toBeGreaterThan(0);
}, 30_000);
it("generates text with TEXT_SMALL", async () => {
const { runtime } = harness();
const handler = openaiPlugin.models?.[ModelType.TEXT_SMALL];
expect(typeof handler).toBe("function");
if (!handler) {
throw new Error("TEXT_SMALL handler is unavailable");
}
const response = await handler(runtime, {
prompt: "Reply with exactly two words: live ready",
});
expect(typeof response).toBe("string");
expect((response as string).length).toBeGreaterThan(0);
}, 30_000);
it("generates embeddings with TEXT_EMBEDDING", async () => {
const { runtime } = harness();
const handler = openaiPlugin.models?.[ModelType.TEXT_EMBEDDING];
expect(typeof handler).toBe("function");
if (!handler) {
throw new Error("TEXT_EMBEDDING handler is unavailable");
}
const response = (await handler(runtime, {
text: "Eliza live embedding smoke test",
})) as number[];
expect(Array.isArray(response)).toBe(true);
expect(response.length).toBeGreaterThan(0);
expect(typeof response[0]).toBe("number");
}, 30_000);
}
);