mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
synced 2026-01-31 11:28:28 +08:00
dea468ab0f
* 支持了agentlm * 支持了agentlm和相关提示词 * 修改了Agent的一些功能，加入了Embed方面的一个优化 * 修改了部分Agent的工具 * 增加一些Langchain的自带工具 * 修复一些兼容性的bug * 恢复知识库 * 恢复知识库 * 1 * 修复Azure问题 * 修复zilliz的问题 * 修复Agent历史记录问题，优化知识库问答搜索的uoji * 修复讯飞大模型token问题 * 修复讯飞大模型token问题和配置文件 --------- Co-authored-by: zR <zRzRzRzRzRzRzR>
104 lines
3.8 KiB
Python
104 lines
3.8 KiB
Python
from fastchat.conversation import Conversation
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from server.model_workers.base import *
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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 server.model_workers import SparkApi
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import websockets
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from server.utils import iter_over_async, asyncio
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from typing import List, Dict
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async def request(appid, api_key, api_secret, Spark_url, domain, question, temperature, max_token):
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wsParam = SparkApi.Ws_Param(appid, api_key, api_secret, Spark_url)
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wsUrl = wsParam.create_url()
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data = SparkApi.gen_params(appid, domain, question, temperature, max_token)
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async with websockets.connect(wsUrl) as ws:
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await ws.send(json.dumps(data, ensure_ascii=False))
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finish = False
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while not finish:
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chunk = await ws.recv()
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response = json.loads(chunk)
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if response.get("header", {}).get("status") == 2:
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finish = True
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if text := response.get("payload", {}).get("choices", {}).get("text"):
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yield text[0]["content"]
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class XingHuoWorker(ApiModelWorker):
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def __init__(
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self,
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*,
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model_names: List[str] = ["xinghuo-api"],
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controller_addr: str = None,
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worker_addr: str = None,
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version: str = None,
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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", 8192)
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super().__init__(**kwargs)
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self.version = version
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def do_chat(self, params: ApiChatParams) -> Dict:
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# TODO: 当前每次对话都要重新连接websocket，确认是否可以保持连接
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params.load_config(self.model_names[0])
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version_mapping = {
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"v1.5": {"domain": "general", "url": "ws://spark-api.xf-yun.com/v1.1/chat","max_tokens": 2048},
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"v2.0": {"domain": "generalv2", "url": "ws://spark-api.xf-yun.com/v2.1/chat","max_tokens": 4096},
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"v3.0": {"domain": "generalv3", "url": "ws://spark-api.xf-yun.com/v3.1/chat","max_tokens": 8192},
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}
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def get_version_details(version_key):
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return version_mapping.get(version_key, {"domain": None, "url": None})
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# 使用方法：
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details = get_version_details(params.version)
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domain = details["domain"]
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Spark_url = details["url"]
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text = ""
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try:
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loop = asyncio.get_event_loop()
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except:
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loop = asyncio.new_event_loop()
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params.max_tokens = min(details["max_tokens"], params.max_tokens)
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for chunk in iter_over_async(
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request(params.APPID, params.api_key, params.APISecret, Spark_url, domain, params.messages,
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params.temperature, params.max_tokens),
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loop=loop,
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):
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if chunk:
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text += chunk
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yield {"error_code": 0, "text": text}
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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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def make_conv_template(self, conv_template: str = None, model_path: str = None) -> Conversation:
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# TODO: 确认模板是否需要修改
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return 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=["user", "assistant"],
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sep="\n### ",
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stop_str="###",
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)
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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 = XingHuoWorker(
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controller_addr="http://127.0.0.1:20001",
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worker_addr="http://127.0.0.1:21003",
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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=21003)
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