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I thought the webhook component would be processed later, but you seem like a genius. The code looks very Pythonic and well-written. Additionally, it would be great to add an...

Webhooks are important because they require SSL for secure communication. Langflow's service module needs an inbound/outbound module that can function well in the background. Additionally, I believe encryption through random...

I think you have used Tweaks twice.

I propose a solution. "langchain/agents/agent.py" is the class from which all the extension chains mentioned above are derived. ```python @property @abstractmethod def input_keys(self) -> List[str]: """Return the input keys. :meta...

From what I see, the code you provided doesn't seem to be the correct way to write an Agent for Langchain. An Agent should be a type that returns an...

Like ``` from typing import Callable, List, Optional, Union from langchain.agents import AgentExecutor, AgentType, initialize_agent, types from langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool from langflow.interface.custom.custom_component import CustomComponent class AgentInitializerComponent(CustomComponent): display_name: str...

> > Like 喜欢 > > ``` > > from typing import Callable, List, Optional, Union > > > > from langchain.agents import AgentExecutor, AgentType, initialize_agent, types > > >...

As you mentioned in your question, it is difficult to structure each chain as a pipeline and pass it on like in the official Langchain examples. In Langflow, since all...

We have updated the code that was initially implemented to be able to modify all values, so that it can update the list of available models via the provided URL...

@ogabrielluiz Yes, I'll check and leave additional feedback.