File size: 4,199 Bytes
fb4d8fe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
import { describe, expect, it, vi } from "vitest";
import type { TemplateContext } from "../templating.js";
import type { FollowupRun, QueueSettings } from "./queue.js";
import { createMockTypingController } from "./test-helpers.js";

const runEmbeddedPiAgentMock = vi.fn();

vi.mock("../../agents/model-fallback.js", () => ({
  runWithModelFallback: async ({
    run,
  }: {
    run: (provider: string, model: string) => Promise<unknown>;
  }) => ({
    // Force a cross-provider fallback candidate
    result: await run("openai-codex", "gpt-5.2"),
    provider: "openai-codex",
    model: "gpt-5.2",
  }),
}));

vi.mock("../../agents/pi-embedded.js", () => ({
  queueEmbeddedPiMessage: vi.fn().mockReturnValue(false),
  runEmbeddedPiAgent: (params: unknown) => runEmbeddedPiAgentMock(params),
}));

vi.mock("./queue.js", async () => {
  const actual = await vi.importActual<typeof import("./queue.js")>("./queue.js");
  return {
    ...actual,
    enqueueFollowupRun: vi.fn(),
    scheduleFollowupDrain: vi.fn(),
  };
});

import { runReplyAgent } from "./agent-runner.js";

function createBaseRun(params: { runOverrides?: Partial<FollowupRun["run"]> }) {
  const typing = createMockTypingController();
  const sessionCtx = {
    Provider: "telegram",
    OriginatingTo: "chat",
    AccountId: "primary",
    MessageSid: "msg",
    Surface: "telegram",
  } as unknown as TemplateContext;

  const resolvedQueue = { mode: "interrupt" } as unknown as QueueSettings;

  const followupRun = {
    prompt: "hello",
    summaryLine: "hello",
    enqueuedAt: Date.now(),
    run: {
      agentId: "main",
      agentDir: "/tmp/agent",
      sessionId: "session",
      sessionKey: "main",
      messageProvider: "telegram",
      sessionFile: "/tmp/session.jsonl",
      workspaceDir: "/tmp",
      config: {},
      skillsSnapshot: {},
      provider: "anthropic",
      model: "claude-opus",
      authProfileId: "anthropic:openclaw",
      authProfileIdSource: "manual",
      thinkLevel: "low",
      verboseLevel: "off",
      elevatedLevel: "off",
      bashElevated: {
        enabled: false,
        allowed: false,
        defaultLevel: "off",
      },
      timeoutMs: 5_000,
      blockReplyBreak: "message_end",
    },
  } as unknown as FollowupRun;

  return {
    typing,
    sessionCtx,
    resolvedQueue,
    followupRun: {
      ...followupRun,
      run: { ...followupRun.run, ...params.runOverrides },
    },
  };
}

describe("authProfileId fallback scoping", () => {
  it("drops authProfileId when provider changes during fallback", async () => {
    runEmbeddedPiAgentMock.mockReset();
    runEmbeddedPiAgentMock.mockResolvedValue({ payloads: [{ text: "ok" }], meta: {} });

    const sessionKey = "main";
    const sessionEntry = {
      sessionId: "session",
      updatedAt: Date.now(),
      totalTokens: 1,
      compactionCount: 0,
    };

    const { typing, sessionCtx, resolvedQueue, followupRun } = createBaseRun({
      runOverrides: {
        provider: "anthropic",
        model: "claude-opus",
        authProfileId: "anthropic:openclaw",
        authProfileIdSource: "manual",
      },
    });

    await runReplyAgent({
      commandBody: "hello",
      followupRun,
      queueKey: sessionKey,
      resolvedQueue,
      shouldSteer: false,
      shouldFollowup: false,
      isActive: false,
      isStreaming: false,
      typing,
      sessionCtx,
      sessionEntry,
      sessionStore: { [sessionKey]: sessionEntry },
      sessionKey,
      storePath: undefined,
      defaultModel: "anthropic/claude-opus-4-5",
      agentCfgContextTokens: 100_000,
      resolvedVerboseLevel: "off",
      isNewSession: false,
      blockStreamingEnabled: false,
      resolvedBlockStreamingBreak: "message_end",
      shouldInjectGroupIntro: false,
      typingMode: "instant",
    });

    expect(runEmbeddedPiAgentMock).toHaveBeenCalledTimes(1);
    const call = runEmbeddedPiAgentMock.mock.calls[0]?.[0] as {
      authProfileId?: unknown;
      authProfileIdSource?: unknown;
      provider?: unknown;
    };

    expect(call.provider).toBe("openai-codex");
    expect(call.authProfileId).toBeUndefined();
    expect(call.authProfileIdSource).toBeUndefined();
  });
});