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fix xiaoniu mention gating and vector memory config

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liuwei
2026-04-07 16:00:31 +08:00
parent fabcb92f3f
commit 58faa4322c
3 changed files with 9 additions and 3 deletions
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2
plugins/ai_auto_response/config.toml
View File

@@ -69,7 +69,7 @@ enable_member_context = true
enable_vector_memory = true
vector_provider = "qdrant"
embedding_provider = "ollama"
qdrant_url = "http://127.0.0.1:6333"
qdrant_url = "http://192.168.2.240:6333"
qdrant_collection = "abot_xiaoniu_memory"
ollama_base_url = "http://192.168.2.50:11434"
embedding_model = "bge-m3"

5
plugins/ai_auto_response/main.py
View File

@@ -615,6 +615,7 @@ class AIAutoResponsePlugin(MessagePluginInterface):
sender=sender,
memory_type="member_context_snapshot",
ok=ok,
error=self.vector_memory.last_error,
)
if ok and version:
self._synced_member_context_versions[cache_key] = version
@@ -648,6 +649,7 @@ class AIAutoResponsePlugin(MessagePluginInterface):
memory_type="interaction_memory",
ok=ok,
trigger_type=trigger_type,
error=self.vector_memory.last_error,
)
def _log_event(self, event: str, **kwargs: Any) -> None:
@@ -738,7 +740,8 @@ class AIAutoResponsePlugin(MessagePluginInterface):
f"[XIAONIU] MEM_UPSERT room={room} user={sender} "
f"type={data.get('memory_type', '')} "
f"ok={self._yn(data.get('ok'))} "
f"trigger={data.get('trigger_type', '-') or '-'}"
f"trigger={data.get('trigger_type', '-') or '-'} "
f"err={self._preview(str(data.get('error', '') or '-'), 72)}"
).strip()
compact = " ".join(f"{key}={data[key]}" for key in sorted(data) if data.get(key) not in (None, ""))

5
plugins/ai_auto_response/response_planner.py
View File

@@ -24,7 +24,10 @@ class ResponsePlanner:
conversation_hints: Dict | None = None,
) -> bool:
conversation_hints = conversation_hints or {}
if trigger.get("is_at"):
trigger_type = str(trigger.get("trigger_type", "") or "")
if trigger.get("is_at") or trigger_type == "at_trigger":
return True
if trigger_type == "quote_followup_trigger" and trigger.get("is_directed"):
return True
if trigger.get("is_question") and conversation_hints.get("has_recent_human_solver") and flow_state != "deep_engaged":
return False