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92 lines
2.8 KiB
Python
92 lines
2.8 KiB
Python
import os
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from typing import TYPE_CHECKING, Any, Dict, Optional, Union
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from dbgpt.core import ModelRequest, ModelRequestContext
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from dbgpt.model.proxy.llms.proxy_model import ProxyModel
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from .chatgpt import OpenAILLMClient
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if TYPE_CHECKING:
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from httpx._types import ProxiesTypes
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from openai import AsyncAzureOpenAI, AsyncOpenAI
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ClientType = Union[AsyncAzureOpenAI, AsyncOpenAI]
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_YI_DEFAULT_MODEL = "yi-34b-chat-0205"
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async def yi_generate_stream(
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model: ProxyModel, tokenizer, params, device, context_len=2048
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):
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client: YiLLMClient = model.proxy_llm_client
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context = ModelRequestContext(stream=True, user_name=params.get("user_name"))
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request = ModelRequest.build_request(
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client.default_model,
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messages=params["messages"],
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temperature=params.get("temperature"),
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context=context,
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max_new_tokens=params.get("max_new_tokens"),
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)
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async for r in client.generate_stream(request):
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yield r
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class YiLLMClient(OpenAILLMClient):
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"""Yi LLM Client.
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Yi' API is compatible with OpenAI's API, so we inherit from OpenAILLMClient.
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"""
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def __init__(
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self,
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api_key: Optional[str] = None,
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api_base: Optional[str] = None,
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api_type: Optional[str] = None,
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api_version: Optional[str] = None,
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model: Optional[str] = _YI_DEFAULT_MODEL,
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proxies: Optional["ProxiesTypes"] = None,
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timeout: Optional[int] = 240,
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model_alias: Optional[str] = "yi_proxyllm",
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context_length: Optional[int] = None,
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openai_client: Optional["ClientType"] = None,
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openai_kwargs: Optional[Dict[str, Any]] = None,
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**kwargs
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):
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api_base = (
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api_base or os.getenv("YI_API_BASE") or "https://api.lingyiwanwu.com/v1"
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)
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api_key = api_key or os.getenv("YI_API_KEY")
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model = model or _YI_DEFAULT_MODEL
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if not context_length:
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if "200k" in model:
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context_length = 200 * 1024
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else:
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context_length = 4096
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if not api_key:
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raise ValueError(
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"Yi API key is required, please set 'YI_API_KEY' in environment "
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"variable or pass it to the client."
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)
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super().__init__(
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api_key=api_key,
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api_base=api_base,
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api_type=api_type,
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api_version=api_version,
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model=model,
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proxies=proxies,
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timeout=timeout,
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model_alias=model_alias,
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context_length=context_length,
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openai_client=openai_client,
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openai_kwargs=openai_kwargs,
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**kwargs
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)
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@property
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def default_model(self) -> str:
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model = self._model
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if not model:
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model = _YI_DEFAULT_MODEL
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return model
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