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117a173fff
### What problem does this PR solve? ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
467 lines
19 KiB
Python
467 lines
19 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from zhipuai import ZhipuAI
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from dashscope import Generation
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from abc import ABC
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from openai import OpenAI
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import openai
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from ollama import Client
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from volcengine.maas.v2 import MaasService
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from rag.nlp import is_english
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from rag.utils import num_tokens_from_string
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class Base(ABC):
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def __init__(self, key, model_name, base_url):
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self.client = OpenAI(api_key=key, base_url=base_url)
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self.model_name = model_name
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def chat(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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try:
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response = self.client.chat.completions.create(
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model=self.model_name,
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messages=history,
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**gen_conf)
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ans = response.choices[0].message.content.strip()
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if response.choices[0].finish_reason == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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return ans, response.usage.total_tokens
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except openai.APIError as e:
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return "**ERROR**: " + str(e), 0
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def chat_streamly(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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ans = ""
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total_tokens = 0
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try:
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response = self.client.chat.completions.create(
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model=self.model_name,
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messages=history,
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stream=True,
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**gen_conf)
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for resp in response:
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if not resp.choices or not resp.choices[0].delta.content:continue
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ans += resp.choices[0].delta.content
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total_tokens += 1
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if resp.choices[0].finish_reason == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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yield ans
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except openai.APIError as e:
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yield ans + "\n**ERROR**: " + str(e)
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yield total_tokens
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class GptTurbo(Base):
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def __init__(self, key, model_name="gpt-3.5-turbo", base_url="https://api.openai.com/v1"):
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if not base_url: base_url="https://api.openai.com/v1"
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super().__init__(key, model_name, base_url)
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class MoonshotChat(Base):
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def __init__(self, key, model_name="moonshot-v1-8k", base_url="https://api.moonshot.cn/v1"):
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if not base_url: base_url="https://api.moonshot.cn/v1"
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super().__init__(key, model_name, base_url)
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class XinferenceChat(Base):
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def __init__(self, key=None, model_name="", base_url=""):
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key = "xxx"
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super().__init__(key, model_name, base_url)
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class DeepSeekChat(Base):
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def __init__(self, key, model_name="deepseek-chat", base_url="https://api.deepseek.com/v1"):
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if not base_url: base_url="https://api.deepseek.com/v1"
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super().__init__(key, model_name, base_url)
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class BaiChuanChat(Base):
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def __init__(self, key, model_name="Baichuan3-Turbo", base_url="https://api.baichuan-ai.com/v1"):
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if not base_url:
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base_url = "https://api.baichuan-ai.com/v1"
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super().__init__(key, model_name, base_url)
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@staticmethod
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def _format_params(params):
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return {
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"temperature": params.get("temperature", 0.3),
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"max_tokens": params.get("max_tokens", 2048),
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"top_p": params.get("top_p", 0.85),
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}
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def chat(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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try:
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response = self.client.chat.completions.create(
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model=self.model_name,
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messages=history,
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extra_body={
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"tools": [{
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"type": "web_search",
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"web_search": {
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"enable": True,
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"search_mode": "performance_first"
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}
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}]
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},
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**self._format_params(gen_conf))
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ans = response.choices[0].message.content.strip()
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if response.choices[0].finish_reason == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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return ans, response.usage.total_tokens
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except openai.APIError as e:
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return "**ERROR**: " + str(e), 0
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def chat_streamly(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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ans = ""
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total_tokens = 0
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try:
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response = self.client.chat.completions.create(
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model=self.model_name,
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messages=history,
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extra_body={
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"tools": [{
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"type": "web_search",
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"web_search": {
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"enable": True,
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"search_mode": "performance_first"
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}
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}]
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},
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stream=True,
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**self._format_params(gen_conf))
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for resp in response:
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if resp.choices[0].finish_reason == "stop":
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if not resp.choices[0].delta.content:
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continue
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total_tokens = resp.usage.get('total_tokens', 0)
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if not resp.choices[0].delta.content:
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continue
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ans += resp.choices[0].delta.content
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if resp.choices[0].finish_reason == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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yield ans
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except Exception as e:
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yield ans + "\n**ERROR**: " + str(e)
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yield total_tokens
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class QWenChat(Base):
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def __init__(self, key, model_name=Generation.Models.qwen_turbo, **kwargs):
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import dashscope
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dashscope.api_key = key
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self.model_name = model_name
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def chat(self, system, history, gen_conf):
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from http import HTTPStatus
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if system:
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history.insert(0, {"role": "system", "content": system})
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response = Generation.call(
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self.model_name,
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messages=history,
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result_format='message',
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**gen_conf
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)
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ans = ""
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tk_count = 0
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if response.status_code == HTTPStatus.OK:
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ans += response.output.choices[0]['message']['content']
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tk_count += response.usage.total_tokens
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if response.output.choices[0].get("finish_reason", "") == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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return ans, tk_count
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return "**ERROR**: " + response.message, tk_count
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def chat_streamly(self, system, history, gen_conf):
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from http import HTTPStatus
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if system:
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history.insert(0, {"role": "system", "content": system})
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ans = ""
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tk_count = 0
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try:
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response = Generation.call(
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self.model_name,
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messages=history,
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result_format='message',
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stream=True,
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**gen_conf
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)
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for resp in response:
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if resp.status_code == HTTPStatus.OK:
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ans = resp.output.choices[0]['message']['content']
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tk_count = resp.usage.total_tokens
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if resp.output.choices[0].get("finish_reason", "") == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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yield ans
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else:
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yield ans + "\n**ERROR**: " + resp.message if str(resp.message).find("Access")<0 else "Out of credit. Please set the API key in **settings > Model providers.**"
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except Exception as e:
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yield ans + "\n**ERROR**: " + str(e)
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yield tk_count
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class ZhipuChat(Base):
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def __init__(self, key, model_name="glm-3-turbo", **kwargs):
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self.client = ZhipuAI(api_key=key)
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self.model_name = model_name
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def chat(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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try:
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if "presence_penalty" in gen_conf: del gen_conf["presence_penalty"]
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if "frequency_penalty" in gen_conf: del gen_conf["frequency_penalty"]
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response = self.client.chat.completions.create(
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model=self.model_name,
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messages=history,
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**gen_conf
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)
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ans = response.choices[0].message.content.strip()
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if response.choices[0].finish_reason == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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return ans, response.usage.total_tokens
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except Exception as e:
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return "**ERROR**: " + str(e), 0
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def chat_streamly(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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if "presence_penalty" in gen_conf: del gen_conf["presence_penalty"]
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if "frequency_penalty" in gen_conf: del gen_conf["frequency_penalty"]
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ans = ""
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tk_count = 0
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try:
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response = self.client.chat.completions.create(
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model=self.model_name,
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messages=history,
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stream=True,
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**gen_conf
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)
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for resp in response:
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if not resp.choices[0].delta.content:continue
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delta = resp.choices[0].delta.content
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ans += delta
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if resp.choices[0].finish_reason == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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tk_count = resp.usage.total_tokens
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if resp.choices[0].finish_reason == "stop": tk_count = resp.usage.total_tokens
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yield ans
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except Exception as e:
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yield ans + "\n**ERROR**: " + str(e)
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yield tk_count
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class OllamaChat(Base):
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def __init__(self, key, model_name, **kwargs):
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self.client = Client(host=kwargs["base_url"])
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self.model_name = model_name
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def chat(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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try:
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options = {}
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if "temperature" in gen_conf: options["temperature"] = gen_conf["temperature"]
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if "max_tokens" in gen_conf: options["num_predict"] = gen_conf["max_tokens"]
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if "top_p" in gen_conf: options["top_k"] = gen_conf["top_p"]
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if "presence_penalty" in gen_conf: options["presence_penalty"] = gen_conf["presence_penalty"]
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if "frequency_penalty" in gen_conf: options["frequency_penalty"] = gen_conf["frequency_penalty"]
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response = self.client.chat(
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model=self.model_name,
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messages=history,
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options=options,
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keep_alive=-1
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)
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ans = response["message"]["content"].strip()
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return ans, response["eval_count"] + response.get("prompt_eval_count", 0)
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except Exception as e:
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return "**ERROR**: " + str(e), 0
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def chat_streamly(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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options = {}
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if "temperature" in gen_conf: options["temperature"] = gen_conf["temperature"]
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if "max_tokens" in gen_conf: options["num_predict"] = gen_conf["max_tokens"]
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if "top_p" in gen_conf: options["top_k"] = gen_conf["top_p"]
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if "presence_penalty" in gen_conf: options["presence_penalty"] = gen_conf["presence_penalty"]
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if "frequency_penalty" in gen_conf: options["frequency_penalty"] = gen_conf["frequency_penalty"]
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ans = ""
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try:
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response = self.client.chat(
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model=self.model_name,
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messages=history,
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stream=True,
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options=options,
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keep_alive=-1
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)
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for resp in response:
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if resp["done"]:
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yield resp.get("prompt_eval_count", 0) + resp.get("eval_count", 0)
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ans += resp["message"]["content"]
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yield ans
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except Exception as e:
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yield ans + "\n**ERROR**: " + str(e)
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yield 0
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class LocalLLM(Base):
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class RPCProxy:
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def __init__(self, host, port):
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self.host = host
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self.port = int(port)
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self.__conn()
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def __conn(self):
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from multiprocessing.connection import Client
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self._connection = Client(
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(self.host, self.port), authkey=b'infiniflow-token4kevinhu')
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def __getattr__(self, name):
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import pickle
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def do_rpc(*args, **kwargs):
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for _ in range(3):
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try:
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self._connection.send(
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pickle.dumps((name, args, kwargs)))
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return pickle.loads(self._connection.recv())
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except Exception as e:
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self.__conn()
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raise Exception("RPC connection lost!")
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return do_rpc
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def __init__(self, key, model_name="glm-3-turbo"):
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self.client = LocalLLM.RPCProxy("127.0.0.1", 7860)
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def chat(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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try:
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ans = self.client.chat(
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history,
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gen_conf
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)
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return ans, num_tokens_from_string(ans)
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except Exception as e:
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return "**ERROR**: " + str(e), 0
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def chat_streamly(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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token_count = 0
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answer = ""
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try:
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for ans in self.client.chat_streamly(history, gen_conf):
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answer += ans
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token_count += 1
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yield answer
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except Exception as e:
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yield answer + "\n**ERROR**: " + str(e)
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yield token_count
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class VolcEngineChat(Base):
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def __init__(self, key, model_name, base_url):
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"""
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Since do not want to modify the original database fields, and the VolcEngine authentication method is quite special,
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Assemble ak, sk, ep_id into api_key, store it as a dictionary type, and parse it for use
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model_name is for display only
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"""
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self.client = MaasService('maas-api.ml-platform-cn-beijing.volces.com', 'cn-beijing')
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self.volc_ak = eval(key).get('volc_ak', '')
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self.volc_sk = eval(key).get('volc_sk', '')
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self.client.set_ak(self.volc_ak)
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self.client.set_sk(self.volc_sk)
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self.model_name = eval(key).get('ep_id', '')
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def chat(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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try:
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req = {
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"parameters": {
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"min_new_tokens": gen_conf.get("min_new_tokens", 1),
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"top_k": gen_conf.get("top_k", 0),
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"max_prompt_tokens": gen_conf.get("max_prompt_tokens", 30000),
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"temperature": gen_conf.get("temperature", 0.1),
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"max_new_tokens": gen_conf.get("max_tokens", 1000),
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"top_p": gen_conf.get("top_p", 0.3),
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},
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"messages": history
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}
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response = self.client.chat(self.model_name, req)
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ans = response.choices[0].message.content.strip()
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if response.choices[0].finish_reason == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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return ans, response.usage.total_tokens
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except Exception as e:
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return "**ERROR**: " + str(e), 0
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def chat_streamly(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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ans = ""
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tk_count = 0
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try:
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req = {
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"parameters": {
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"min_new_tokens": gen_conf.get("min_new_tokens", 1),
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"top_k": gen_conf.get("top_k", 0),
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"max_prompt_tokens": gen_conf.get("max_prompt_tokens", 30000),
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"temperature": gen_conf.get("temperature", 0.1),
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"max_new_tokens": gen_conf.get("max_tokens", 1000),
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"top_p": gen_conf.get("top_p", 0.3),
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},
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"messages": history
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}
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stream = self.client.stream_chat(self.model_name, req)
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for resp in stream:
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if not resp.choices[0].message.content:
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continue
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ans += resp.choices[0].message.content
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if resp.choices[0].finish_reason == "stop":
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tk_count = resp.usage.total_tokens
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yield ans
|
|
|
|
except Exception as e:
|
|
yield ans + "\n**ERROR**: " + str(e)
|
|
yield tk_count
|