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fix: platform id

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This commit is contained in:
Soulter
2025-08-04 13:10:37 +08:00
parent b1e3018b6b
commit 0c6e526f94
3 changed files with 10 additions and 6 deletions
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4
astrbot/core/pipeline/process_stage/method/llm_request.py
View File

@@ -113,14 +113,14 @@ class LLMRequestSubStage(Stage):
)
if not conversation_id:
conversation_id = await self.conv_manager.new_conversation(
event.unified_msg_origin
event.unified_msg_origin, event.get_platform_id()
)
conversation = await self.conv_manager.get_conversation(
event.unified_msg_origin, conversation_id
)
if not conversation:
conversation_id = await self.conv_manager.new_conversation(
event.unified_msg_origin
event.unified_msg_origin, event.get_platform_id()
)
conversation = await self.conv_manager.get_conversation(
event.unified_msg_origin, conversation_id

10
packages/astrbot/main.py
View File

@@ -638,7 +638,9 @@ UID: {user_id} 此 ID 可用于设置管理员。
session_curr_cid = await conv_mgr.get_curr_conversation_id(umo)
if not session_curr_cid:
session_curr_cid = await conv_mgr.new_conversation(umo)
session_curr_cid = await conv_mgr.new_conversation(
umo, message.get_platform_id()
)
contexts, total_pages = await conv_mgr.get_human_readable_context(
umo, session_curr_cid, page, size_per_page
@@ -763,7 +765,7 @@ UID: {user_id} 此 ID 可用于设置管理员。
return
cid = await self.context.conversation_manager.new_conversation(
message.unified_msg_origin
message.unified_msg_origin, message.get_platform_id()
)
# 长期记忆
@@ -797,7 +799,9 @@ UID: {user_id} 此 ID 可用于设置管理员。
session_id=sid,
)
)
cid = await self.context.conversation_manager.new_conversation(session)
cid = await self.context.conversation_manager.new_conversation(
session, message.get_platform_id()
)
message.set_result(
MessageEventResult().message(
f"群聊 {session} 已切换到新对话: 新对话({cid[:4]})。"

2
packages/session_controller/main.py
View File

@@ -63,7 +63,7 @@ class Waiter(Star):
else:
# 创建新对话
curr_cid = await self.context.conversation_manager.new_conversation(
event.unified_msg_origin
event.unified_msg_origin, platform_id=event.get_platform_id()
)
# 使用 LLM 生成回复