mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-06-04 12:56:02 +00:00
103 lines
3.6 KiB
Python
103 lines
3.6 KiB
Python
from __future__ import annotations
|
|
|
|
import datetime
|
|
|
|
from .. import stage, entities
|
|
from ...core import entities as core_entities
|
|
from ...provider import entities as llm_entities
|
|
from ...plugin import events
|
|
from ...platform.types import message as platform_message
|
|
|
|
|
|
@stage.stage_class("PreProcessor")
|
|
class PreProcessor(stage.PipelineStage):
|
|
"""请求预处理阶段
|
|
|
|
签出会话、prompt、上文、模型、内容函数。
|
|
|
|
改写：
|
|
- session
|
|
- prompt
|
|
- messages
|
|
- user_message
|
|
- use_model
|
|
- use_funcs
|
|
"""
|
|
|
|
async def process(
|
|
self,
|
|
query: core_entities.Query,
|
|
stage_inst_name: str,
|
|
) -> entities.StageProcessResult:
|
|
"""处理
|
|
"""
|
|
session = await self.ap.sess_mgr.get_session(query)
|
|
|
|
conversation = await self.ap.sess_mgr.get_conversation(query, session, query.pipeline_config['ai']['local-agent']['prompt'])
|
|
|
|
# 设置query
|
|
query.session = session
|
|
query.prompt = conversation.prompt.copy()
|
|
query.messages = conversation.messages.copy()
|
|
|
|
query.use_llm_model = conversation.use_llm_model
|
|
|
|
query.use_funcs = conversation.use_funcs if query.use_llm_model.model_entity.abilities.__contains__('tool_call') else None
|
|
|
|
query.variables = {
|
|
"session_id": f"{query.session.launcher_type.value}_{query.session.launcher_id}",
|
|
"conversation_id": conversation.uuid,
|
|
"msg_create_time": int(query.message_event.time) if query.message_event.time else int(datetime.datetime.now().timestamp()),
|
|
}
|
|
|
|
# Check if this model supports vision, if not, remove all images
|
|
# TODO this checking should be performed in runner, and in this stage, the image should be reserved
|
|
if query.pipeline_config['ai']['runner']['runner'] == 'local-agent' and not query.use_llm_model.model_entity.abilities.__contains__('vision'):
|
|
for msg in query.messages:
|
|
if isinstance(msg.content, list):
|
|
for me in msg.content:
|
|
if me.type == 'image_url':
|
|
msg.content.remove(me)
|
|
|
|
content_list = []
|
|
|
|
plain_text = ""
|
|
|
|
for me in query.message_chain:
|
|
if isinstance(me, platform_message.Plain):
|
|
content_list.append(
|
|
llm_entities.ContentElement.from_text(me.text)
|
|
)
|
|
plain_text += me.text
|
|
elif isinstance(me, platform_message.Image):
|
|
if query.pipeline_config['ai']['runner']['runner'] != 'local-agent' or query.use_llm_model.model_entity.abilities.__contains__('vision'):
|
|
if me.base64 is not None:
|
|
content_list.append(
|
|
llm_entities.ContentElement.from_image_base64(me.base64)
|
|
)
|
|
|
|
query.variables['user_message_text'] = plain_text
|
|
|
|
query.user_message = llm_entities.Message(
|
|
role='user',
|
|
content=content_list
|
|
)
|
|
# =========== 触发事件 PromptPreProcessing
|
|
|
|
event_ctx = await self.ap.plugin_mgr.emit_event(
|
|
event=events.PromptPreProcessing(
|
|
session_name=f'{query.session.launcher_type.value}_{query.session.launcher_id}',
|
|
default_prompt=query.prompt.messages,
|
|
prompt=query.messages,
|
|
query=query
|
|
)
|
|
)
|
|
|
|
query.prompt.messages = event_ctx.event.default_prompt
|
|
query.messages = event_ctx.event.prompt
|
|
|
|
return entities.StageProcessResult(
|
|
result_type=entities.ResultType.CONTINUE,
|
|
new_query=query
|
|
)
|