diff --git a/konabot/common/llm/__init__.py b/konabot/common/llm/__init__.py new file mode 100644 index 0000000..71c4fbf --- /dev/null +++ b/konabot/common/llm/__init__.py @@ -0,0 +1,64 @@ +from typing import Any +import openai + +from loguru import logger +from openai.types.chat import ChatCompletion, ChatCompletionMessage, ChatCompletionMessageParam +from pydantic import BaseModel, Field + +from konabot.common.path import CONFIG_PATH + +LLM_CONFIG_PATH = CONFIG_PATH / 'llm.json' + +if not LLM_CONFIG_PATH.exists(): + LLM_CONFIG_PATH.write_text("{}") + + +class LLMInfo(BaseModel): + base_url: str + api_key: str + model_name: str + + def get_openai_client(self): + return openai.AsyncClient( + api_key=self.api_key, + base_url=self.base_url, + ) + + async def chat( + self, + messages: list[ChatCompletionMessageParam], + timeout: float | None = 30.0, + max_tokens: int | None = None, + **kwargs: Any, + ) -> ChatCompletionMessage: + logger.info(f"调用 LLM: BASE_URL={self.base_url} MODEL_NAME={self.model_name}") + completion: ChatCompletion = await self.get_openai_client().chat.completions.create( + messages=messages, + model=self.model_name, + max_tokens=max_tokens, + timeout=timeout, + stream=False, + **kwargs, + ) + choice = completion.choices[0] + logger.info( + f"调用 LLM 完成: BASE_URL={self.base_url} MODEL_NAME={self.model_name} REASON={choice.finish_reason}" + ) + return choice.message + + +class LLMConfig(BaseModel): + llms: dict[str, LLMInfo] = Field(default_factory=dict) + default_llm: str = "Qwen2.5-7B-Instruct" + + +llm_config = LLMConfig.model_validate_json(LLM_CONFIG_PATH.read_text()) + + +def get_llm(llm_model: str | None = None): + if llm_model is None: + llm_model = llm_config.default_llm + if llm_model not in llm_config.llms: + raise NotImplementedError("LLM 未配置，该功能无法使用") + return llm_config.llms[llm_model] + diff --git a/konabot/common/path.py b/konabot/common/path.py index e81760d..dc73d0f 100644 --- a/konabot/common/path.py +++ b/konabot/common/path.py @@ -6,6 +6,7 @@ FONTS_PATH = ASSETS_PATH / "fonts" SRC_PATH = Path(__file__).resolve().parent.parent DATA_PATH = SRC_PATH.parent / "data" LOG_PATH = DATA_PATH / "logs" +CONFIG_PATH = DATA_PATH / "config" DOCS_PATH = SRC_PATH / "docs" DOCS_PATH_MAN1 = DOCS_PATH / "user" @@ -19,3 +20,5 @@ if not DATA_PATH.exists(): if not LOG_PATH.exists(): LOG_PATH.mkdir() +CONFIG_PATH.mkdir(exist_ok=True) + diff --git a/konabot/plugins/llm_test.py b/konabot/plugins/llm_test.py new file mode 100644 index 0000000..0d56148 --- /dev/null +++ b/konabot/plugins/llm_test.py @@ -0,0 +1,40 @@ +""" +肥肠危险注意：本文件仅用于开发环境测试 LLM 模块能否正常工作！ + +请不要在生产环境启用它！ +""" + +import nonebot +from nonebot_plugin_alconna import Alconna, Args, on_alconna +from pydantic import BaseModel + +from konabot.common.llm import get_llm +from konabot.common.longtask import DepLongTaskTarget + + +class LLMTestConfig(BaseModel): + debug_enable_llm_test: bool = False + + +config = nonebot.get_plugin_config(LLMTestConfig) + + +if config.debug_enable_llm_test: + cmd = on_alconna(Alconna( + "debug-ask-llm", + Args["prompt", str], + )) + + @cmd.handle() + async def _(prompt: str, target: DepLongTaskTarget): + llm = get_llm() + msg = await llm.chat( + [ + {"role": "user", "content": prompt} + ], + timeout=None, + max_tokens=1024, + ) + content = msg.content or "" + await target.send_message(content) + diff --git a/poetry.lock b/poetry.lock index ffd0104..39c1294 100644 --- a/poetry.lock +++ b/poetry.lock @@ -803,6 +803,23 @@ type = "legacy" url = "https://pypi.tuna.tsinghua.edu.cn/simple" reference = "mirrors" +[[package]] +name = "distro" +version = "1.9.0" +description = "Distro - an OS platform information API" +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, + {file = "distro-1.9.0.tar.gz", hash = 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