2 Commits

Author	SHA1	Message	Date
Nan Gao	0550816c50	fix(multi-instance): publish skill_manage cache resets and tolerate a concurrent namespace create (#7099) ... * fix(multi-instance): publish skill_manage cache resets and tolerate a concurrent namespace create Two leftovers from the multi-instance work (#7097). The agent's skill_manage tool refreshed only its own process's skills prompt cache after a create, edit, patch, delete, write_file or remove_file, so a Gateway replica sharing the home volume kept rendering that user's previous skill list. Every mutation now runs one drained tail, as the skill routes do: the write and its history record, the local refresh, then publish_skills_cache_reset(user_id=...) off the event loop. A run cancelled while the write is in flight still refreshes and publishes before the cancellation propagates. A marker that cannot be written is logged inside the tail and raised as SkillCacheResetPublishError with a message saying the change was applied, so the model does not retry a write that succeeded. Two provisioner replicas starting together against a missing K8S_NAMESPACE both read 404 and both create; the loser's 409 escaped the lifespan and crashed it. A 409 on create now counts as the namespace existing, as the Pod and Service creates already do. Also drops a stale duplicate of the multi-instance "declaration also drives" note in CONFIGURATION.md. * docs(changelog): reference #7099 for the multi-instance leftovers --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-10-19 22:28:19 +08:00
Nan Gao	4bab280250	fix(skills): share skill cache invalidation across Gateway replicas (#6495) ... * fix(skills): share skill cache invalidation across Gateway replicas SkillStorage.load_skills() rescans disk and re-reads extensions_config.json on every call, but the prompt layer in deerflow/agents/lead_agent/prompt.py caches the enabled-skills list, the per-(app_config, user_id) entries and the rendered <skill_system> section per process, and every skill mutation in routers/skills.py only refreshed the process that handled it. With several uvicorn workers or several Pods sharing one home volume, a skill installed, edited, deleted, rolled back or toggled through replica A kept being offered as the old skill set by replica B until B restarted, and POST /api/skills/reload had to be sent to every Pod separately. Reuse the MCP cache-reset mechanism. A new generic helper, deerflow.config.shared_reset_marker, owns a hidden JSON marker beside the resolved extensions config (.<config name>.<suffix>.json): publish() replaces it atomically with a random generation under extensions_config_write_lock + extensions_config_file_lock, chaining previous_generation and an optional user_id; SharedResetMarkerTracker polls it at most once per second (monotonic clock, never blocking behind a concurrent poller), adopts the current state silently on its first poll, and classifies a change as user-scoped only when exactly one publication carrying that user happened since the last poll. deerflow/mcp/cache.py now builds its .<config>.mcp-cache-reset.json marker through the same helper with no behavior change. prompt.py publishes .<config>.skills-cache-reset.json via publish_skills_cache_reset(user_id=...) and checks the marker on every cache lookup (global cache, per-config cache, prompt-section LRU, user scoped entries), calling _invalidate_enabled_skills_cache() or invalidate_user_skill_cache(). The publishing process remembers its own generation so it does not retire the caches it just rebuilt. Every mutation tail in routers/skills.py (install/upload, edit, delete, rollback, enable/disable, reload) refreshes locally and then publishes the marker off the event loop; /skills/reload answers scope=shared_config, or scope=process when no extensions config path resolves, and a marker publication failure is a 500 so a 200 never means only one process was refreshed. Docs: README, backend/docs/API.md, skills/config/mcp/gateway AGENTS.md, and frontend skills.mdx (en/zh; also fixes the reference to a non-existent skills/loader.py) describe the shared invalidation and drop the per-Pod guidance. CHANGELOG entry under Unreleased / Fixed. * docs(changelog): link the skills cache reset entry to #6495 * fix(skills): drain the reload tail and keep marker failures out of 404 Two review follow-ups on the shared skills cache reset (#6495). POST /skills/reload awaited the local refresh and the marker publication unshielded. CancelledError is a BaseException, so a caller that disconnected between the two slipped past the `except Exception -> 500` mapping, surfaced no error, and left every peer replica serving the old skill set -- the one outcome the operator hook for external mount writes exists to prevent. The refresh and the publication now run as one `await_drained(_drain_skill_mutation("reload", ...))` tail, the same discipline the install/edit/delete/rollback/toggle tails already use; the exception -> 500 mapping and the scope response are unchanged. Publication errors could surface as 404. resolve_shared_config_path() only swallows the resolution-time FileNotFoundError; a config directory that vanishes between resolution and the lock file / atomic replace still raised FileNotFoundError from the marker write, and the install, edit, delete and rollback handlers mapped that to HTTP 404 with the raw OS error text for a skill that had in fact been applied. publish_skills_cache_reset() now re-raises OSError (and a misconfigured project root's ValueError) as SkillCacheResetPublishError, a RuntimeError that no handler maps to 404/400, so every handler reports it through its generic 500 branch; the message names only the exception type, never a server path. The install handler gains an explicit clause that pins that contract beside its 404 mapping. Tests: cancelling reload after the refresh still publishes the marker; a FileNotFoundError from the marker write yields 500 (not 404) for install, edit, delete and rollback, 500 for the public toggle and the generic reload error; the wrapper type is not an OSError.	2026-10-08 19:43:04 +08:00