diff --git a/config/config2.example.yaml b/config/config2.example.yaml index 74d2ab880..f6970dabe 100644 --- a/config/config2.example.yaml +++ b/config/config2.example.yaml @@ -86,6 +86,9 @@ exp_pool: role_zero: enable_longterm_memory: false # Whether to use long-term memory. Default is `false`. longterm_memory_persist_path: .role_memory_data # The directory to save data. + memory_k: 200 # The capacity of short-term memory. + similarity_top_k: 5 # The number of long-term memories to retrieve. + use_llm_ranker: false # Whether to use LLM Reranker to get better result. Default is `false`. azure_tts_subscription_key: "YOUR_SUBSCRIPTION_KEY" azure_tts_region: "eastus" diff --git a/metagpt/configs/role_zero_config.py b/metagpt/configs/role_zero_config.py index ada5afb63..91d554b2f 100644 --- a/metagpt/configs/role_zero_config.py +++ b/metagpt/configs/role_zero_config.py @@ -6,3 +6,6 @@ from metagpt.utils.yaml_model import YamlModel class RoleZeroConfig(YamlModel): enable_longterm_memory: bool = Field(default=False, description="Whether to use long-term memory.") longterm_memory_persist_path: str = Field(default=".role_memory_data", description="The directory to save data.") + memory_k: int = Field(default=200, description="The capacity of short-term memory.") + similarity_top_k: int = Field(default=5, description="The number of long-term memories to retrieve.") + use_llm_ranker: bool = Field(default=False, description="Whether to use LLM Reranker to get better result.") diff --git a/metagpt/memory/role_zero_memory.py b/metagpt/memory/role_zero_memory.py index 6e59af3ec..a32320881 100644 --- a/metagpt/memory/role_zero_memory.py +++ b/metagpt/memory/role_zero_memory.py @@ -31,6 +31,8 @@ class RoleZeroLongTermMemory(Memory): persist_path: str = Field(default=".role_memory_data", description="The directory to save data.") collection_name: str = Field(default="role_zero", description="The name of the collection, such as the role name.") memory_k: int = Field(default=200, description="The capacity of short-term memory.") + similarity_top_k: int = Field(default=5, description="The number of long-term memories to retrieve.") + use_llm_ranker: bool = Field(default=False, description="Whether to use LLM Reranker to get better result.") _rag_engine: Any = None @@ -49,14 +51,18 @@ class RoleZeroLongTermMemory(Memory): try: from metagpt.rag.engines import SimpleEngine - from metagpt.rag.schema import ChromaRetrieverConfig + from metagpt.rag.schema import ChromaRetrieverConfig, LLMRankerConfig except ImportError: raise ImportError("To use the RoleZeroMemory, you need to install the rag module.") retriever_configs = [ - ChromaRetrieverConfig(persist_path=self.persist_path, collection_name=self.collection_name) + ChromaRetrieverConfig( + persist_path=self.persist_path, + collection_name=self.collection_name, + similarity_top_k=self.similarity_top_k, + ) ] - ranker_configs = [] + ranker_configs = [LLMRankerConfig()] if self.use_llm_ranker else [] rag_engine = SimpleEngine.from_objs(retriever_configs=retriever_configs, ranker_configs=ranker_configs) diff --git a/metagpt/roles/di/role_zero.py b/metagpt/roles/di/role_zero.py index 4614de0f3..03ea046fd 100644 --- a/metagpt/roles/di/role_zero.py +++ b/metagpt/roles/di/role_zero.py @@ -181,11 +181,14 @@ class RoleZero(Role): """ if self.config.role_zero.enable_longterm_memory: + # Use config.role_zero to initialize long-term memory self.rc.memory = RoleZeroLongTermMemory( **self.rc.memory.model_dump(), persist_path=self.config.role_zero.longterm_memory_persist_path, collection_name=self.name.replace(" ", ""), - memory_k=self.memory_k, + memory_k=self.config.role_zero.memory_k, + similarity_top_k=self.config.role_zero.similarity_top_k, + use_llm_ranker=self.config.role_zero.use_llm_ranker, ) logger.info(f"Long-term memory set for role '{self.name}'")