How to check Langserve Rest API swagger for ConversationalRetrievalChain with memory. about langserve HOT 8 CLOSED

Hi @NageshMashette,

1. Docs are available here: localhost:800/docs. Check the examples directory to see client and server combinations. I suggest using the python RemoteRunnable client to interact with the server.
2. The chain that you've implementing will NOT work correctly for what I'd consider server use since it has a single global state for the memory that will be shared between all users. We'll be releasing more documentation on how to set this up in the upcoming 1-2 weeks.

from langserve.

Closing as this is not an issue but a question

from langserve.

https://github.com/langchain-ai/langserve/blob/main/examples/conversational_retrieval_chain/client.ipynb
without memory also im facing issue , i fallowed client code provided in example folder.

i used
**from langserve import RemoteRunnable
remote_runnable = RemoteRunnable("http://localhost:8000/")

await remote_runnable.ainvoke({"question": "Hi how are you?", "chat_history": ""})**

HTTPStatusError: Client error '404 Not Found' for url 'http://localhost:8000/invoke'
For more information check: https://httpstatuses.com/404 for {"detail":"Not Found"}

from langserve.

faced same issue .After updating to latest version of langserve its started working for me.

from langserve.

faced same issue .After updating to latest version of langserve its started working for me.

are you able to execute with memory?

from langserve.

Has anyone tried to combine conversation memory with langchain chain that is served using langserve?

from langserve.

I don't recommend using the old memory abstractions. Instead take a look at the examples in the readme there are examples that show how to handle conversation history including multi user support.

from langserve.

thanks @eyurtsev ok let me try it.

from langserve.