mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
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9bcce0a572
* feat: add qwen-api * 使Qwen API支持temperature参数；添加测试用例 * 将online-api的sdk列为可选依赖 --------- Co-authored-by: liunux4odoo <liunux@qq.com>
124 lines
3.8 KiB
Python
124 lines
3.8 KiB
Python
import json
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import sys
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from configs import TEMPERATURE
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from http import HTTPStatus
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from typing import List, Literal, Dict
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from fastchat import conversation as conv
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from server.model_workers.base import ApiModelWorker
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from server.utils import get_model_worker_config
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def request_qwen_api(
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messages: List[Dict[str, str]],
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api_key: str = None,
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version: str = "qwen-turbo",
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temperature: float = TEMPERATURE,
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model_name: str = "qwen-api",
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):
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import dashscope
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config = get_model_worker_config(model_name)
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api_key = api_key or config.get("api_key")
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version = version or config.get("version")
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gen = dashscope.Generation()
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responses = gen.call(
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model=version,
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temperature=temperature,
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api_key=api_key,
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messages=messages,
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result_format='message', # set the result is message format.
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stream=True,
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)
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text = ""
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for resp in responses:
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if resp.status_code != HTTPStatus.OK:
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yield {
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"code": resp.status_code,
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"text": "api not response correctly",
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}
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if resp["status_code"] == 200:
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if choices := resp["output"]["choices"]:
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yield {
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"code": 200,
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"text": choices[0]["message"]["content"],
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}
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else:
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yield {
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"code": resp["status_code"],
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"text": resp["message"],
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}
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class QwenWorker(ApiModelWorker):
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def __init__(
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self,
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*,
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version: Literal["qwen-turbo", "qwen-plus"] = "qwen-turbo",
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model_names: List[str] = ["qwen-api"],
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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", 16384)
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super().__init__(**kwargs)
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# TODO: 确认模板是否需要修改
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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、对人类有帮助的人工智能，你可以对人类提出的问题给出有用、详细、礼貌的回答。",
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messages=[],
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roles=["user", "assistant", "system"],
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sep="\n### ",
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stop_str="###",
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)
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config = self.get_config()
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self.api_key = config.get("api_key")
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self.version = version
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def generate_stream_gate(self, params):
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messages = self.prompt_to_messages(params["prompt"])
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for resp in request_qwen_api(messages=messages,
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api_key=self.api_key,
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version=self.version,
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temperature=params.get("temperature")):
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if resp["code"] == 200:
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yield json.dumps({
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"error_code": 0,
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"text": resp["text"]
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},
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ensure_ascii=False
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).encode() + b"\0"
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else:
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yield json.dumps({
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"error_code": resp["code"],
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"text": resp["text"]
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},
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ensure_ascii=False
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).encode() + b"\0"
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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 = QwenWorker(
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controller_addr="http://127.0.0.1:20001",
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worker_addr="http://127.0.0.1:20007",
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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=20007)
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