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from langflow.base.astra_assistants.util import get_patched_openai_client | |
from langflow.custom.custom_component.component_with_cache import ComponentWithCache | |
from langflow.inputs import MultilineInput | |
from langflow.schema.message import Message | |
from langflow.template import Output | |
class AssistantsCreateThread(ComponentWithCache): | |
display_name = "Create Assistant Thread" | |
description = "Creates a thread and returns the thread id" | |
icon = "AstraDB" | |
inputs = [ | |
MultilineInput( | |
name="env_set", | |
display_name="Environment Set", | |
info="Dummy input to allow chaining with Dotenv Component.", | |
), | |
] | |
outputs = [ | |
Output(display_name="Thread ID", name="thread_id", method="process_inputs"), | |
] | |
def __init__(self, **kwargs) -> None: | |
super().__init__(**kwargs) | |
self.client = get_patched_openai_client(self._shared_component_cache) | |
def process_inputs(self) -> Message: | |
thread = self.client.beta.threads.create() | |
thread_id = thread.id | |
return Message(text=thread_id) | |