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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from .base import Base
from .session import Session
class Chat(Base):
def __init__(self, rag, res_dict):
self.id = ""
self.name = "assistant"
self.avatar = "path/to/avatar"
self.dataset_ids = ["kb1"]
self.llm = Chat.LLM(rag, {})
self.prompt = Chat.Prompt(rag, {})
super().__init__(rag, res_dict)
class LLM(Base):
def __init__(self, rag, res_dict):
self.model_name = "deepseek-chat"
self.temperature = 0.1
self.top_p = 0.3
self.presence_penalty = 0.4
self.frequency_penalty = 0.7
self.max_tokens = 512
super().__init__(rag, res_dict)
class Prompt(Base):
def __init__(self, rag, res_dict):
self.similarity_threshold = 0.2
self.keywords_similarity_weight = 0.7
self.top_n = 8
self.top_k = 1024
self.variables = [{"key": "knowledge", "optional": True}]
self.rerank_model = None
self.empty_response = None
self.opener = "Hi! I'm your assistant, what can I do for you?"
self.show_quote = True
self.prompt = (
"You are an intelligent assistant. Please summarize the content of the knowledge base to answer the question. "
"Please list the data in the knowledge base and answer in detail. When all knowledge base content is irrelevant to the question, "
"your answer must include the sentence 'The answer you are looking for is not found in the knowledge base!' "
"Answers need to consider chat history.\nHere is the knowledge base:\n{knowledge}\nThe above is the knowledge base."
)
super().__init__(rag, res_dict)
def update(self, update_message: dict):
res = self.put(f'/chats/{self.id}',
update_message)
res = res.json()
if res.get("code") != 0:
raise Exception(res["message"])
def create_session(self, name: str = "New session") -> Session:
res = self.post(f"/chats/{self.id}/sessions", {"name": name})
res = res.json()
if res.get("code") == 0:
return Session(self.rag, res['data'])
raise Exception(res["message"])
def list_sessions(self, page: int = 1, page_size: int = 30, orderby: str = "create_time", desc: bool = True,
id: str = None, name: str = None) -> list[Session]:
res = self.get(f'/chats/{self.id}/sessions',
{"page": page, "page_size": page_size, "orderby": orderby, "desc": desc, "id": id, "name": name})
res = res.json()
if res.get("code") == 0:
result_list = []
for data in res["data"]:
result_list.append(Session(self.rag, data))
return result_list
raise Exception(res["message"])
def delete_sessions(self, ids: list[str] | None = None):
res = self.rm(f"/chats/{self.id}/sessions", {"ids": ids})
res = res.json()
if res.get("code") != 0:
raise Exception(res.get("message"))
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