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feat: publish Agent Studio integrations and setup guide

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Wenxin Duan
2026-09-16 16:32:16 +08:00
parent 2ad089d68a
commit 05e6060490
106 changed files with 4942 additions and 198 deletions
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packages/harness/tests/pi-event-adapter.test.ts
+39
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@@ -2,6 +2,45 @@ import { describe, expect, it, vi } from "vitest";
import * as harness from "../src/index.js";
describe("PiEventAdapter", () => {
it.each([
{ stopReason: "stop", content: [], code: "MODEL_EMPTY_RESPONSE" },
{ stopReason: "stop", content: [{ type: "thinking", thinking: "private reasoning" }], code: "MODEL_EMPTY_RESPONSE" },
{ stopReason: "length", content: [{ type: "text", text: "partial output" }], code: "MODEL_OUTPUT_LIMIT" },
])("rejects incomplete assistant replies ($stopReason, $code)", async ({ stopReason, content, code }) => {
const store = new harness.InMemoryEventStore();
const adapter = new harness.PiEventAdapter({ sessionId: "ses_1", runId: "run_1", eventStore: store });
await expect(adapter.observe({ type: "message_end", message: { role: "assistant", stopReason, content } })).rejects.toMatchObject({ code });
expect(store.listAfter("ses_1").events).toHaveLength(0);
});
it("keeps licensed frame bytes and subtitles out of event history", async () => {
const store = new harness.InMemoryEventStore();
const adapter = new harness.PiEventAdapter({ sessionId: "ses_1", runId: "run_1", eventStore: store });
await adapter.observe({ type: "tool_execution_end", toolName: "read_drama_frames", toolCallId: "call_1", isError: false,
result: { content: [{ type: "image", data: "PRIVATE_IMAGE_BYTES", mimeType: "image/jpeg" }, { type: "text", text: "PRIVATE_SUBTITLES" }], details: { jobId: "job_1", imageCount: 9 } } });
expect(store.listAfter("ses_1").events[0]?.payload).toMatchObject({ result: { jobId: "job_1", imageCount: 9 } });
expect(JSON.stringify(store.listAfter("ses_1"))).not.toContain("PRIVATE_");
});
it("does not announce completion between tool turns or turn provider errors into success", async () => {
const store = new harness.InMemoryEventStore();
const adapter = new harness.PiEventAdapter({ sessionId: "ses_1", runId: "run_1", eventStore: store });
await adapter.observe({ type: "message_end", message: { role: "assistant", stopReason: "toolUse" } });
expect(store.listAfter("ses_1").events).toHaveLength(0);
await expect(adapter.observe({ type: "message_end", message: { role: "assistant", stopReason: "error", errorMessage: "provider secret" } })).rejects.toThrow("Model request failed");
expect(store.listAfter("ses_1").events).toHaveLength(0);
});
it("unwraps real Pi custom-tool details for the metric card", async () => {
const store = new harness.InMemoryEventStore();
const adapter = new harness.PiEventAdapter({ sessionId: "ses_1", runId: "run_1", eventStore: store });
await adapter.observe({
type: "tool_execution_end", toolName: "mock_ads_metrics", toolCallId: "call_1", isError: false,
result: { content: [{ type: "text", text: '{"spend":120,"revenue":360,"roas":3}' }], details: { spend: 120, revenue: 360, roas: 3 } },
});
expect(store.listAfter("ses_1").events[0]?.payload).toEqual({
toolCallId: "call_1", toolName: "mock_ads_metrics", result: { spend: 120, revenue: 360, roas: 3 },
});
});
it("maps assistant deltas and completion with one stable message id", async () => {
const store = new harness.InMemoryEventStore();
const Adapter = Reflect.get(harness, "PiEventAdapter") as unknown as new (options: Record<string, unknown>) => {