Merge pull request #974 from better629/feat_memory

Feat add rag

metagpt/roles/role.py

@@ -108,12 +108,6 @@ class RoleContext(BaseModel):
     )  # see `Role._set_react_mode` for definitions of the following two attributes
     max_react_loop: int = 1
 
-    def check(self, role_id: str):
-        # if hasattr(CONFIG, "enable_longterm_memory") and CONFIG.enable_longterm_memory:
-        #     self.long_term_memory.recover_memory(role_id, self)
-        #     self.memory = self.long_term_memory  # use memory to act as long_term_memory for unify operation
-        pass
-
     @property
     def important_memory(self) -> list[Message]:
         """Retrieve information corresponding to the attention action."""
@@ -311,8 +305,6 @@ class Role(SerializationMixin, ContextMixin, BaseModel):
         buffer during _observe.
         """
         self.rc.watch = {any_to_str(t) for t in actions}
-        # check RoleContext after adding watch actions
-        self.rc.check(self.role_id)
 
     def is_watch(self, caused_by: str):
         return caused_by in self.rc.watch

metagpt/roles/sales.py

@@ -11,7 +11,6 @@ from typing import Optional
 from pydantic import Field, model_validator
 
 from metagpt.actions import SearchAndSummarize, UserRequirement
-from metagpt.document_store.base_store import BaseStore
 from metagpt.roles import Role
 from metagpt.tools.search_engine import SearchEngine
 
@@ -27,7 +26,7 @@ class Sales(Role):
         "delivered with the professionalism and courtesy expected of a seasoned sales guide."
     )
 
-    store: Optional[BaseStore] = Field(default=None, exclude=True)
+    store: Optional[object] = Field(default=None, exclude=True)  # must inplement tools.SearchInterface
 
     @model_validator(mode="after")
     def validate_stroe(self):