Add AIMessage support and update Result model

This commit is contained in:
Gabriel Luiz Freitas Almeida 2023-12-21 14:52:12 -03:00
commit 55e9b4ba1c

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@ -5,12 +5,14 @@ from langchain.agents import AgentExecutor
from langchain.chains.base import Chain
from langchain.schema import AgentAction, Document
from langchain.vectorstores.base import VectorStore
from langchain_core.messages import AIMessage
from langchain_core.runnables.base import Runnable
from loguru import logger
from pydantic import BaseModel
from langflow.interface.custom.custom_component import CustomComponent
from langflow.interface.run import build_sorted_vertices, get_memory_key, update_memory_keys
from langflow.services.deps import get_session_service
from loguru import logger
from pydantic import BaseModel
def fix_memory_inputs(langchain_object):
@ -125,6 +127,11 @@ async def process_runnable(runnable: Runnable, inputs: Union[dict, List[dict]]):
result = await runnable.ainvoke(inputs)
else:
raise ValueError(f"Runnable {runnable} does not support inputs of type {type(inputs)}")
# Check if the result is a list of AIMessages
if isinstance(result, list) and all(isinstance(r, AIMessage) for r in result):
result = [r.content for r in result]
elif isinstance(result, AIMessage):
result = result.content
return result
@ -181,7 +188,7 @@ async def generate_result(built_object: Union[Chain, VectorStore, Runnable], inp
class Result(BaseModel):
result: Any
result: Union[dict, List[dict], str, List[str], AIMessage]
session_id: str