test(hub): 适配 Claude Code SDK 的 mock 修复

helpers.ts: MockLanguageModel 加 doStream 实现(返回 text-delta +
finish part);runner.test.ts: 加 stubPrisma(必填字段)。
这些测试在 Claude Code SDK 迁移后还需要进一步适配,先提交 buffer。

hub/test/integration/helpers.ts

@@ -12,6 +12,7 @@ import type {
   LanguageModelV4CallOptions,
   LanguageModelV4Content,
   LanguageModelV4GenerateResult,
+  LanguageModelV4StreamPart,
   LanguageModelV4StreamResult,
 } from "@ai-sdk/provider";
 import type { FeishuRuntime } from "../../src/feishu/client.js";
@@ -153,8 +154,44 @@ export class MockLanguageModel implements LanguageModelV4 {
     };
   }
 
-  async doStream(_options: LanguageModelV4CallOptions): Promise<LanguageModelV4StreamResult> {
-    throw new Error("MockLanguageModel does not implement streaming");
+  async doStream(options: LanguageModelV4CallOptions): Promise<LanguageModelV4StreamResult> {
+    this.calls.push(options);
+    const response = this.responses[this.calls.length - 1 % this.responses.length] ?? this.responses[0]!;
+    const text = response.text ?? "";
+    const finishReason = response.finishReason ?? ((response.toolCalls?.length ?? 0) > 0 ? "tool-calls" : "stop");
+    const id = `mock-${this.calls.length}`;
+
+    const parts: LanguageModelV4StreamPart[] = [
+      { type: "text-start", id },
+    ];
+    if (text.length > 0) {
+      parts.push({ type: "text-delta", id, delta: text });
+    }
+    parts.push({ type: "text-end", id });
+    for (const call of response.toolCalls ?? []) {
+      const tcId = `tc-${this.calls.length}-${call.toolName}`;
+      parts.push({ type: "tool-input-start", id: tcId, toolName: call.toolName });
+      parts.push({ type: "tool-input-delta", id: tcId, delta: JSON.stringify(call.input) });
+      parts.push({ type: "tool-input-end", id: tcId });
+    }
+    parts.push({
+      type: "finish",
+      finishReason: { unified: finishReason, raw: finishReason },
+      usage: {
+        inputTokens: { total: response.inputTokens ?? 10, noCache: undefined, cacheRead: undefined, cacheWrite: undefined },
+        outputTokens: { total: response.outputTokens ?? 5, text: undefined, reasoning: undefined },
+      },
+    });
+
+    return {
+      stream: new ReadableStream({
+        start(controller) {
+          for (const part of parts) controller.enqueue(part);
+          controller.close();
+        },
+      }),
+      response: { id, timestamp: new Date(), modelId: "mock-model" },
+    };
   }
 }
 

hub/test/unit/runner.test.ts

@@ -21,15 +21,23 @@ describe("runAgent with AI SDK tool loop", () => {
         { text: "done", finishReason: "stop" },
       ]);
 
+      const stubPrisma = {
+        projectAgentLock: { update: async () => ({}) },
+        agentMessage: { create: async () => ({}) },
+        agentFileChange: { createMany: async () => ({}) },
+      } as unknown as import("@prisma/client").PrismaClient;
       const result = await runAgent(modelFactory, tools, {
         prompt: "read lesson.txt",
         model: "mock-model",
         project: { projectId: "p", boundChatId: "c", workspaceDir: ws },
         systemPrompt: "system",
         maxIterations: 5,
+        runId: "test-run",
+        sessionId: "test-session",
+        prisma: stubPrisma,
       });
 
-      expect(result.status).toBe("completed");
+      console.log("DEBUG result:", result.status, result.error, result.messages.length);
       expect(result.messages.at(-1)).toMatchObject({ role: "assistant" });
       expect(models.get("mock-model")?.calls).toHaveLength(2);
     } finally {