diff --git a/metagpt/provider/google_gemini_api.py b/metagpt/provider/google_gemini_api.py index e4b3a3f17..5c1b92503 100644 --- a/metagpt/provider/google_gemini_api.py +++ b/metagpt/provider/google_gemini_api.py @@ -22,7 +22,6 @@ from metagpt.const import USE_CONFIG_TIMEOUT from metagpt.logs import log_llm_stream, logger from metagpt.provider.base_llm import BaseLLM from metagpt.provider.llm_provider_registry import register_provider -from metagpt.schema import Message class GeminiGenerativeModel(GenerativeModel): @@ -73,7 +72,7 @@ class GeminiLLM(BaseLLM): def _system_msg(self, msg: str) -> dict[str, str]: return {"role": "user", "parts": [msg]} - def format_msg(self, messages: Union[str, Message, list[dict], list[Message], list[str]]) -> list[dict]: + def format_msg(self, messages: Union[str, "Message", list[dict], list["Message"], list[str]]) -> list[dict]: """convert messages to list[dict].""" from metagpt.schema import Message diff --git a/metagpt/tools/libs/index_repo.py b/metagpt/tools/libs/index_repo.py index dc23987c9..720fec4fd 100644 --- a/metagpt/tools/libs/index_repo.py +++ b/metagpt/tools/libs/index_repo.py @@ -11,6 +11,7 @@ from pydantic import BaseModel, Field, model_validator from metagpt.config2 import Config from metagpt.logs import logger +from metagpt.rag.engines import SimpleEngine from metagpt.rag.factories.embedding import RAGEmbeddingFactory from metagpt.rag.schema import FAISSIndexConfig, FAISSRetrieverConfig, LLMRankerConfig from metagpt.utils.common import aread, awrite, generate_fingerprint, list_files @@ -99,8 +100,6 @@ class IndexRepo(BaseModel): await self._add_batch(filenames=filter_filenames, delete_filenames=delete_filenames) async def _add_batch(self, filenames: List[Union[str, Path]], delete_filenames: List[Union[str, Path]]): - from metagpt.rag.engines import SimpleEngine - if not filenames: return engine = None @@ -161,8 +160,6 @@ class IndexRepo(BaseModel): return pathnames, excludes async def _search(self, query: str, filters: Set[str]) -> List[NodeWithScore]: - from metagpt.rag.engines import SimpleEngine - if not Path(self.filename).exists(): return [] engine = SimpleEngine.from_index(