Why Aren't My LangSmith Trace Logs Appearing in Colab?

I'm new to LangChain and LangSmith and I'm facing an issue with tracking code logs in LangSmith while running my project in Colab.

I don't see any trace logs appearing even though everything seems to run correctly. Here is the code I'm using:

PYTHONCopied
from langchain_core.documents import Document
from langchain.chains.combine_documents import create_stuff_documents_chain
from langchain_community.document_loaders import WebBaseLoader
from langchain.text_splitter import CharacterTextSplitter
from langchain.prompts import ChatPromptTemplate
from langchain_community.vectorstores.faiss import FAISS
from langchain_openai import AzureOpenAIEmbeddings
import logging
from langchain.chains import create_retrieval_chain
from langsmith import Client


from langchain_core.messages import HumanMessage, AIMessage
from langchain_core.prompts import MessagesPlaceholder


def get_document_from_web(url):
  logging.getLogger("langchain_text_splitters.base").setLevel(logging.ERROR)
  loader = WebBaseLoader(url)
  docs = loader.load()
  splitter = CharacterTextSplitter(
      chunk_size=400,
      chunk_overlap=20
      )
  splitDocs = splitter.split_documents(docs)
  return splitDocs


def create_db(docs):
    embeddings = AzureOpenAIEmbeddings(
        model="text-embedding-3-large",
        azure_endpoint="https://langing.openai.azure.com/openai/deployments/Embed-test/embeddings?api-version=2023-05-15",
        openai_api_key="xxx",
        openai_api_version="2023-05-15"
    )
    vectorStore = FAISS.from_documents(docs, embeddings)
    return vectorStore

def create_chain(vectorStore):
    prompt = ChatPromptTemplate.from_messages([
        ("system", "Answet the quistion based on the following context: {context}"),
        MessagesPlaceholder(variable_name="chat_history"),
        ("human", "{input}")
    ])



    chain = create_stuff_documents_chain(llm=model,
                                     prompt=prompt)

    retriever = vectorStore.as_retriever(search_kwargs = {"k":3})
    retriever_chain = create_retrieval_chain(
        retriever,
        chain
    )
    return retriever_chain

def process_chat(chain, question,chat_history):
  response = chain.invoke({
    "input": question,
    "chat_history": chat_history
    })
  return response["answer"]

chat_history = []


if __name__ == "__main__":
  docs =get_document_from_web("https://docs.smith.langchain.com/evaluation/concepts")
  vectoreStore = create_db(docs)
  chain = create_chain(vectoreStore)
  while True:
    user_input = input("You: ")
    if user_input.lower() == "exit":
        break
    response = process_chat(chain, user_input, chat_history)
    chat_history.append(HumanMessage(content= user_input))
    chat_history.append(AIMessage(content = response))
    print("Bot:", response)

Despite the code running successfully, no logs are sent to LangSmith. I've tried all the suggested steps I could find online, but nothing seems to work. Any ideas on how to resolve this issue with logging in LangSmith?