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Refactor AgentInitializerComponent to support optional memory parameter

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This commit is contained in:
Gabriel Luiz Freitas Almeida 2023-12-22 10:39:26 -03:00
commit f943ea26d6
1 changed files with 27 additions and 12 deletions
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39
src/backend/langflow/components/agents/AgentInitializer.py
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@ -1,7 +1,6 @@
from typing import Callable, List, Union
from typing import Callable, List, Optional, Union
from langchain.agents import AgentExecutor, AgentType, initialize_agent, types
from langflow import CustomComponent
from langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool
@ -20,18 +19,34 @@ class AgentInitializerComponent(CustomComponent):
"memory": {"display_name": "Memory"},
"tools": {"display_name": "Tools"},
"llm": {"display_name": "Language Model"},
"code": {"advanced": True},
}
def build(
self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int
self,
agent: str,
llm: BaseLanguageModel,
tools: List[Tool],
max_iterations: int,
memory: Optional[BaseChatMemory] = None,
) -> Union[AgentExecutor, Callable]:
agent = AgentType(agent)
return initialize_agent(
tools=tools,
llm=llm,
agent=agent,
memory=memory,
return_intermediate_steps=True,
handle_parsing_errors=True,
max_iterations=max_iterations,
)
if memory:
return initialize_agent(
tools=tools,
llm=llm,
agent=agent,
memory=memory,
return_intermediate_steps=True,
handle_parsing_errors=True,
max_iterations=max_iterations,
)
else:
return initialize_agent(
tools=tools,
llm=llm,
agent=agent,
return_intermediate_steps=True,
handle_parsing_errors=True,
max_iterations=max_iterations,
)