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A turn routed as end_topic used to be dropped from L1 capture as a whole,
so feedback, work conventions and instructions sent together with the
closing words never reached L1, user memory or the episode reward.
Only a bare end-topic command ("结束会话" / "不聊了") is still kept out of
L1. Every other end_topic turn now goes through the same capture decision
as a normal turn; the closed episode waits for that decision before
reflection and reward are queued.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Every memmy-memory run reports memmy_cli_* events to the cloud analytics endpoint. resolveCommandIdentity took the second positional word as command_action unconditionally, which was meant for subcommands such as `session close`. For search, add, get and delete that word is the search query, the memory text or the memory id, so it was sent verbatim. An unrecognized first word was also sent verbatim as command_group. command_action is now reported only when the first word is a group with subcommands (service, session, turn, raw) and the second word is one of that group's known subcommands; raw methods match case-insensitively, as runRaw does. An unrecognized first word is reported as command_group "unknown". The known commands live in a small table in analytics.ts that mirrors runCommand and mapTopLevelCommand. has_session_id and has_turn_id are unchanged. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The session close route only woke the auto worker when the close result listed closed episodes, jobs, or scheduled evolution. For an L3 World Model v2 session, closeSession also freezes the pending L3 evidence batches and queues l3_world_model_update jobs, but it does not return them. When the session's episode had already closed earlier (idle timeout or end_topic), closedEpisodeIds was empty and nothing woke the worker. The worker does not poll, so the new L3 jobs stayed queued until an unrelated request happened to wake it. The close route now always schedules the worker, as the token compaction boundary already does after freezing batches. A close with no follow-up work costs one empty drain. A new REST contract test closes an L3 v2 session whose episode had already ended and checks that the worker picks up the frozen L3 job. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
…-worker fix(memory): wake the worker after every session close
v1.2.2 requires the turn capture decision to return a non-empty l1.title together with l1.summary. The mixed feedback-and-closing test stub only returned a summary, so the capture decision threw and the closing L1 stayed in resolving instead of being activated. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
…and-action fix(memory): stop sending CLI arguments as analytics command actions
fix(memory): stop dropping end-topic turns that carry feedback from L1
Synchronize the latest code from the main branch to v1.2.2
…-format fix: 兼容 LM Studio 的 JSON 响应格式
…upgrade-v1.2.2 fix(memory): replace stale runtimes by build identity
…edding-input-guard
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MEMMY-488
云效：https://devops.aliyun.com/projex/bug/aee64741d4589c77df0cc2e3b8
修复 OpenAI-compatible 第三方 embedding 模型长度估算不足，以及输入类错误导致正常记忆与异常记忆整批失败的问题。
改动
验证（同步 v1.2.2 后，HEAD 52b2fdf）
已知限制与待验收项