solo桌面版和手机版Mtc模式云端彻底奔溃，怎么处理

让我查看5月15日会话中20:23前后发生了什么，以及调度数据库的内容。
The user is now asking about why the logs stopped at 20:23. Let me check the database.db file which seems to be the SQLite database used by the ai-agent, and also look more carefully at the end of the ai-agent stdout log to understand what happened at 20:23.

The user also mentioned “MTC” - I need to understand what this means. From the conversation summary, MTC was a mode in Trae for running tasks. The user had scheduled tasks (automations) that were supposed to run after 10pm.

Let me check the end of the ai-agent stdout log from the May 15 session to see what happened at 20:23, and also check the database for scheduled tasks.

The PowerShell doesn’t support &&. Let me use a different approach to query the SQLite database. Also, I can see the ai-agent stdout log continues past 20:23 - it goes up to at least 20:27. Let me check how far it goes and also query the database.

I can see the ai-agent stdout log has entries up to around 20:22. Let me check if there are more entries after that, and also look for the schedule worker logs. The user mentioned “MTC” which in Trae’s context seems to be the scheduled tasks/automations feature.

Let me check the end of the ai-agent stdout log to see the last entries, and also look for schedule-related entries.

I can see the ScheduleWorker started at 19:29:50 with a poll interval of 30s, and the schedule service was initialized. But there are no entries after 20:22 in the stdout log. Let me check the end of the stdout log to see the very last entries, and also check the stderr log for any errors.

The user mentioned “MTC” - from the conversation history, MTC was a mode in Trae for running scheduled tasks. The ScheduleWorker is the component that handles scheduled tasks. Let me check if there are any errors in the stderr log or the main.log after 20:22.

Also, I notice the user asked about “日志格式到底出现什么问题导致mtc无法工作了” - what log format issue caused MTC to stop working. This suggests there might be a specific format issue in the logs that I need to find.

Let me check the current session’s logs for any schedule-related errors, and also look at the ai-agent stderr log more carefully.

I can see the ai-agent stdout log continues past 20:23 - it goes up to at least 20:26. The log entries are mostly about privacy mode checks (every 30 seconds) and CKG token refreshes. The ScheduleWorker was started at 19:29:50 with a 30s poll interval, but I don’t see any schedule-related log entries after the initial startup.

Let me check how many total lines are in the stdout log and read the very end to see when it stops.

日志在20:54:50停止了。让我检查当前会话的调度相关日志，以及hub同步日志。
The ai-agent stdout log ends at 20:54:50 on May 15. The log is still running (privacy mode checks every 30 seconds), but there are no entries after 20:54. This means the app was likely closed or the log file was rotated at that point.

Key observations:

1. The ScheduleWorker started at 19:29:50 with a 30s poll interval
2. There are NO schedule-related log entries after the initial startup - no “trigger”, no “cron”, no “schedule” method calls
3. The only entries after 20:00 are privacy mode checks (every 30s) and CKG token refreshes (every few minutes)
4. The log stops at 20:54:50

The user is asking about “日志格式到底出现什么问题导致mtc无法工作了” - what log format issue caused MTC to stop working. But I’m not finding any log format errors in the ai-agent logs.

Wait, the user might be referring to a different kind of “MTC” - maybe the “Multi-Turn Conversation” mode in Trae, or maybe the scheduled tasks (automations). Let me check the current session’s logs for any schedule-related errors, and also look at the hub/sync logs.

Actually, let me reconsider. The user mentioned “MTC” in the context of the conversation history - they had “儿童财商课（每周2期）” tasks running in MTC mode. MTC might be a specific feature or mode in Trae.

Let me check the current session’s logs for any schedule-related errors, and also look for the hub logs which might contain information about scheduled task execution.

Actually, I think the user might be referring to the Schedule tool (automations) that we set up earlier. The scheduled tasks are supposed to run at specific times, and the user is saying that after 10pm last night, the scheduled tasks stopped working due to a “log format” issue.

Let me check the current session’s ai-agent logs for any schedule-related errors, and also look at the hub logs.

发现了关键错误！让我深入分析这些错误和调度任务执行情况。
Now I found some very important errors! Let me analyze what I’ve found:

1. Model Extra Config Parse Errors: Multiple ERROR entries showing:

   [ModelMgr] failed to parse model_extra_config for model_name: doubao-for-auto, config_name: doubao-for-auto: invalid type: null, expected struct ModelExtraConfig at line 1 column 4, raw: null
   

   This is happening for many models: doubao-for-auto, Doubao-Seed-2.0-Code, doubao_1_8, Doubao_1_6, minimax-m2.7, minimax-m2.5, minimax-m2.1, minimax-m2, glm-5.1, glm-5v-turbo, glm-5, glm-4.7, glm-4.6, DeepSeek-V4-Pro, DeepSeek-V4-Flash, kimi-k2.6, kimi-k2.5, kimi-k2

2. Chat History Cache Errors:

   Try build server history cache error: [chat] system error: No session_id found in agent context
   

3. ScheduleWorker started at 18:33:28 with a 30s poll interval, and the schedule service was initialized with “local SQLite backend”

But the user is asking about “MTC” - which seems to be the scheduled tasks/automations. The key issue might be the model_extra_config parse errors, which could be preventing the scheduled tasks from running properly.

Wait, the user said “日志格式到底出现什么问题导致mtc无法工作了” - what log format issue caused MTC to stop working. They’re specifically asking about a “log format” issue. Let me look more carefully at the errors.

The invalid type: null, expected struct ModelExtraConfig at line 1 column 4, raw: null error is a JSON parsing error - it’s trying to parse null as a struct, which fails. This is a data format issue, not a log format issue.

But wait, the user might be referring to something else by “MTC”. Let me check if there’s a specific MTC-related error in the logs. Also, let me check the hub logs for any schedule task execution failures.

Actually, I think the user might be referring to the “MTC” (Multi-Turn Conversation) mode in Trae, which is the scheduled task/automation feature. The user had scheduled tasks set up that were supposed to run after 10pm. Let me check if there are any schedule task execution errors in the logs.

Let me also check the ai-agent stderr log for the current session.

Now I have a much clearer picture. Let me summarize what I’ve found:

1. ScheduleWorker was started at 19:29:50 (May 15) with a 30s poll interval, but there are NO log entries showing any scheduled tasks being triggered or executed. The schedule service is using “local SQLite backend”.

2. Model Extra Config Parse Errors: Multiple ERROR entries showing invalid type: null, expected struct ModelExtraConfig at line 1 column 4, raw: null. This is a JSON deserialization error - the model_extra_config field is returning null instead of a valid struct. This affects many models: doubao-for-auto, Doubao-Seed-2.0-Code, doubao_1_8, Doubao_1_6, minimax-m2.7, minimax-m2.5, minimax-m2.1, minimax-m2, glm-5.1, glm-5v-turbo, glm-5, glm-4.7, glm-4.6, DeepSeek-V4-Pro, DeepSeek-V4-Flash, kimi-k2.6, kimi-k2.5, kimi-k2

3. Chat History Cache Errors: Try build server history cache error: [chat] system error: No session_id found in agent context

4. The logs from May 15 stop at 20:54:50 - there are no entries after that time, which means the app was likely closed or went to sleep.

5. The user is asking about “MTC” which in the context of Trae seems to be the scheduled tasks/automations feature. The ScheduleWorker is running but there are no log entries showing any tasks being triggered.

Wait, the user specifically said “日志格式到底出现什么问题导致mtc无法工作了” - what LOG FORMAT issue caused MTC to stop working. They’re asking about a specific format problem in the logs.

Looking at the errors more carefully:

• invalid type: null, expected struct ModelExtraConfig at line 1 column 4, raw: null - This is a JSON format issue where null is being returned instead of a valid struct
• This is happening during model initialization, which could prevent the MTC (scheduled tasks) from running because the model can’t be properly configured

But I’m not sure if this is what the user means by “日志格式问题”. Let me ask the user for clarification, or let me check if there are any other format-related issues.

Actually, let me reconsider. The user might be referring to a different kind of “MTC” - maybe the Multi-Turn Conversation mode in Trae. Let me check if there are any MTC-specific log entries.

Actually, looking at the conversation history more carefully, the user had “儿童财商课（每周2期）” tasks running in “MTC” mode. MTC seems to be a specific feature in Trae for running scheduled or recurring tasks. The user is saying that after 10pm last night, MTC stopped working due to a “log format” issue.

Let me check the current session’s logs more carefully for any schedule task execution errors, and also look at the hub logs for any sync issues.

Actually, I think I should just present my findings to the user and ask for clarification. The key issues I’ve found are:

1. The ScheduleWorker is running but there are no log entries showing any tasks being triggered
2. Multiple model_extra_config parse errors (JSON format issue: null instead of struct)
3. Chat history cache errors
4. The May 15 logs stop at 20:54:50

The most likely cause of MTC not working is the model_extra_config parse errors, which could prevent the AI agent from properly initializing and executing scheduled tasks. The invalid type: null, expected struct ModelExtraConfig error means the server is returning null for model configuration, which is an invalid format.

Let me present this analysis to the user.

分析完成，以下是日志排查结果：

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日志分析报告

1. 日志时间覆盖范围

关键发现：5月15日的日志在20:54:50就停止了，22:00之后完全没有日志记录。 这意味着应用在20:54之后可能进入了休眠/挂起状态，或者被关闭了。

2. 发现的关键错误

错误1：ModelExtraConfig JSON格式解析失败（最可能的根因）

ERROR [ModelMgr] failed to parse model_extra_config for model_name: doubao-for-auto
  → invalid type: null, expected struct ModelExtraConfig at line 1 column 4, raw: null

影响范围：17+个模型全部受影响：

• doubao-for-auto, Doubao-Seed-2.0-Code, Doubao_1_6
• minimax-m2.7, minimax-m2.5, minimax-m2.1, minimax-m2
• glm-5.1, glm-5v-turbo, glm-5, glm-4.7, glm-4.6
• DeepSeek-V4-Pro, DeepSeek-V4-Flash
• kimi-k2.6, kimi-k2.5, kimi-k2

根因：服务端返回的 model_extra_config 字段值为 null，但客户端代码期望的是一个结构体（ModelExtraConfig）。这是一个JSON反序列化格式不兼容问题——后端新增了模型但没有提供对应的 ModelExtraConfig 配置，返回了 null 而非空对象 {}。

错误2：Chat History Cache 构建失败

WARN Try build server history cache error: [chat] system error: No session_id found in agent context

错误3：ScheduleWorker 启动但无任务触发记录

INFO [ScheduleWorker] started, poll interval = 30s
INFO [AI Agent Server] Schedule service and worker initialized (local SQLite backend)

ScheduleWorker 每30秒轮询一次，但日志中完全没有任务触发/执行的记录，说明要么没有配置定时任务，要么任务触发逻辑存在bug。

3. 根因分析

MTC无法工作的最可能原因链：

后端 model_extra_config 返回 null（格式变更）
  → 客户端 JSON 反序列化失败（invalid type: null, expected struct）
    → 模型初始化异常
      → ScheduleWorker 无法调用 AI 模型执行任务
        → MTC 定时任务无法运行

4. 建议修复方案

1. 紧急修复：后端应确保 model_extra_config 字段返回空对象 {} 而非 null，或者客户端应增加 null 值容错处理
2. 应用保活：5月15日20:54后日志完全停止，说明应用可能被系统挂起——需要确保Windows不会休眠Trae进程
3. ScheduleWorker日志增强：当前ScheduleWorker没有记录任何轮询和触发日志，建议增加调试日志以便排查

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你能确认下你说的"MTC"具体是指 Trae 中的哪个功能吗？是定时任务（Automations/调度任务），还是多轮对话模式？这样我可以更精准地定位问题。