mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
synced 2026-01-25 16:23:22 +08:00
d316efe8d3
## 🛠 新增功能 - 支持百川在线模型 (@hzg0601 @liunux4odoo in #1623) - 支持 Azure OpenAI 与 claude 等 Langchain 自带模型 (@zRzRzRzRzRzRzR in #1808) - Agent 功能大量更新，支持更多的工具、更换提示词、检索知识库 (@zRzRzRzRzRzRzR in #1626 #1666 #1785) - 加长 32k 模型的历史记录 (@zRzRzRzRzRzRzR in #1629 #1630) - *_chat 接口支持 max_tokens 参数 (@liunux4odoo in #1744) - 实现 API 和 WebUI 的前后端分离 (@liunux4odoo in #1772) - 支持 zlilliz 向量库 (@zRzRzRzRzRzRzR in #1785) - 支持 metaphor 搜索引擎 (@liunux4odoo in #1792) - 支持 p-tuning 模型 (@hzg0601 in #1810) - 更新完善文档和 Wiki (@imClumsyPanda @zRzRzRzRzRzRzR @glide-the in #1680 #1811) ## 🐞 问题修复 - 修复 bge-* 模型匹配超过 1 的问题 (@zRzRzRzRzRzRzR in #1652) - 修复系统代理为空的问题 (@glide-the in #1654) - 修复重建知识库时 `d == self.d assert error` (@liunux4odoo in #1766) - 修复对话历史消息错误 (@liunux4odoo in #1801) - 修复 OpenAI 无法调用的 bug (@zRzRzRzRzRzRzR in #1808) - 修复 windows下 BIND_HOST=0.0.0.0 时对话出错的问题 (@hzg0601 in #1810)
75 lines
2.4 KiB
Python
75 lines
2.4 KiB
Python
from server.model_workers.base import ApiModelWorker
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from fastchat import conversation as conv
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import sys
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import json
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from typing import List, Literal
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class ChatGLMWorker(ApiModelWorker):
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BASE_URL = "https://open.bigmodel.cn/api/paas/v3/model-api"
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SUPPORT_MODELS = ["chatglm_pro", "chatglm_std", "chatglm_lite"]
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def __init__(
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self,
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*,
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model_names: List[str] = ["zhipu-api"],
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version: Literal["chatglm_pro", "chatglm_std", "chatglm_lite"] = "chatglm_std",
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controller_addr: str,
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worker_addr: str,
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**kwargs,
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):
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kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
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kwargs.setdefault("context_len", 32768)
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super().__init__(**kwargs)
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self.version = version
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# 这里的是chatglm api的模板，其它API的conv_template需要定制
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self.conv = conv.Conversation(
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name=self.model_names[0],
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system_message="你是一个聪明的助手，请根据用户的提示来完成任务",
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messages=[],
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roles=["Human", "Assistant"],
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sep="\n###",
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stop_str="###",
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)
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def generate_stream_gate(self, params):
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# TODO: 维护request_id
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import zhipuai
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super().generate_stream_gate(params)
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zhipuai.api_key = self.get_config().get("api_key")
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response = zhipuai.model_api.sse_invoke(
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model=self.version,
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prompt=[{"role": "user", "content": params["prompt"]}],
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temperature=params.get("temperature"),
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top_p=params.get("top_p"),
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incremental=False,
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)
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for e in response.events():
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if e.event == "add":
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yield json.dumps({"error_code": 0, "text": e.data}, ensure_ascii=False).encode() + b"\0"
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# TODO: 更健壮的消息处理
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# elif e.event == "finish":
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# ...
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def get_embeddings(self, params):
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# TODO: 支持embeddings
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print("embedding")
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# print(params)
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if __name__ == "__main__":
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import uvicorn
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from server.utils import MakeFastAPIOffline
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from fastchat.serve.model_worker import app
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worker = ChatGLMWorker(
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controller_addr="http://127.0.0.1:20001",
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worker_addr="http://127.0.0.1:21001",
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)
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sys.modules["fastchat.serve.model_worker"].worker = worker
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MakeFastAPIOffline(app)
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uvicorn.run(app, port=21001)
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