Langchain-Chatchat

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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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from typing import List, Literal, Dict
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from configs import logger, log_verbose
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class FangZhouWorker(ApiModelWorker):
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    """
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    火山方舟
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    """
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    def __init__(
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            self,
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            *,
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            model_names: List[str] = ["fangzhou-api"],
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            controller_addr: str = None,
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            worker_addr: str = None,
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            version: Literal["chatglm-6b-model"] = "chatglm-6b-model",
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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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        self.version = version
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    def do_chat(self, params: ApiChatParams) -> Dict:
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        from volcengine.maas.v2 import MaasService
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        params.load_config(self.model_names[0])
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        maas = MaasService('maas-api.ml-platform-cn-beijing.volces.com', 'cn-beijing')
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        maas.set_ak(params.api_key)
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        maas.set_sk(params.secret_key)
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        # document: "https://www.volcengine.com/docs/82379/1099475"
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        req = {
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            "parameters": {
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                # 这里的参数仅为示例，具体可用的参数请参考具体模型的 API 说明
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                "max_new_tokens": params.max_tokens,
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                "temperature": params.temperature,
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            },
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            "messages": params.messages,
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        }
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        text = ""
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        if log_verbose:
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            self.logger.info(f'{self.__class__.__name__}:maas: {maas}')
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        for resp in maas.stream_chat(params.version, unicode_escape_data(req)):
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            error = resp.error
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            if error and error.code_n > 0:
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                data = {
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                    "error_code": error.code_n,
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                    "text": error.message,
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                    "error": {
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                        "message": error.message,
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                        "type": "invalid_request_error",
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                        "param": None,
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                        "code": None,
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                    }
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                }
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                self.logger.error(f"请求方舟 API 时发生错误：{data}")
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                yield data
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            elif chunk := resp.choices and resp.choices[0].message.content:
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                text += chunk
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                yield {"error_code": 0, "text": text}
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            else:
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                data = {
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                    "error_code": 500,
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                    "text": f"请求方舟 API 时发生未知的错误: {resp}"
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                }
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                self.logger.error(data)
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                yield data
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                break
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    def get_embeddings(self, params):
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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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        return 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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def unicode_escape_data(data):
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    if isinstance(data, str):
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        return data.encode('unicode_escape').decode('ascii')
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    elif isinstance(data, dict):
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        return {key: unicode_escape_data(value) for key, value in data.items()}
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    elif isinstance(data, list):
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        return [unicode_escape_data(item) for item in data]
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    else:
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        return data
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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 = FangZhouWorker(
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        controller_addr="http://127.0.0.1:20001",
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        worker_addr="http://127.0.0.1:21005",
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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=21005)