[BUG] An error occurred: <ContextVar name='context_contexts' at 0x17b9ea020> after upgrade to v1.0

[lorenzobalzani]

Bug Description An error occurred: <ContextVar name='context_contexts' at 0x14cd1fce0>

To Reproduce

    from trulens.apps.langchain import TruChain
    from langchain_community.vectorstores import Qdrant

    def invoke_conversational_llm(self, user_input, prompt_str, chat_history=None, rag_top_k=4, temperature=0,
                                  deployment_name=None, rag_score_threshold=0.5):
        """
        Invoke the conversational language model.
        """

        if not chat_history:
            chat_history = []

        try:
            retriever = Qdrant(...)
            llm = AzureChatOpenAI(...)

            def format_docs(docs):
                return "\n\n".join(doc.page_content for doc in docs)

            # This Runnable takes a dict with keys 'input' and 'context',
            # formats them into a prompt, and generates a response.
            rag_chain = (
                {
                    "input": lambda x: x["input"],
                    "context": lambda x: format_docs(x["context"]),  # context
                    "chat_history": lambda x: x["chat_history"],  # chat history
                }
                | prompt_str  # format query and context into prompt template
                | llm  # generate response
                | StrOutputParser()  # coerce to string
            ).with_config(run_name="rag_chain")

            input_args = {"input": user_input,
                          "chat_history": [(message.type, message.content) for interaction in chat_history
                                           for message in interaction]}

            retrieve_docs_chain = (lambda _: input_args["input"]) | retriever

            # Below, we chain `.assign` calls. This takes a dict and successively adds keys-- "context" and "answer"--
            # where the value for each key is determined by a Runnable. The Runnable operates on all keys in the dict.
            docs_chain = RunnablePassthrough.assign(context=retrieve_docs_chain)
            rag_chain = docs_chain | RunnablePassthrough.assign(answer=rag_chain)

            tru_chain = TruChain(rag_chain, app_name=self._collection_name, feedbacks=[])

            with tru_chain as recorder:
                ai_answer = rag_chain.invoke(input=input_args)  # --> error happens here

The error happens in tru_wrapper, instruments.py:633.

Expected behavior No error after migration.

Relevant Logs/Tracebacks No errors besides the main one.

Environment:

• OS: macOS
• Python Version: 3.12
• TruLens version: 1.1.0
• Versions of other relevant installed libraries: langchain==0.2.5

Additional context Before migrating to the new version no error was happening.

[sahil-sharma-50]

I'm experiencing the same issue. Is there any update on this?

[sfc-gh-jreini]

Hey folks - @piotrm0 is currently working on a fix for this. As far as we can tell this issue is related to running in particular environments such as Google Colab or Snowflake Notebooks that have issues with support for python Context Variables, and does not occur locally. @sahil-sharma-50 @lorenzobalzani Are you using either Google Colab or Snowflake notebooks when you run into this issue? Can you move to a local environment while we wait on a fix?

[lorenzobalzani]

Hey folks - @piotrm0 is currently working on a fix for this. As far as we can tell this issue is related to running in particular environments such as Google Colab or Snowflake Notebooks that have issues with support for python Context Variables, and does not occur locally. @sahil-sharma-50 @lorenzobalzani Are you using either Google Colab or Snowflake notebooks when you run into this issue? Can you move to a local environment while we wait on a fix?

Hi, I’m currently running the package within a Streamlit application, but I’m not sure if it’s the root cause of the issue. However, we need to continue using Streamlit.

[sfc-gh-pmardziel]

Hi @lorenzobalzani , we are working on a fix for next release. For now, can you add this to your code before you import the rest of the trulens library:

from trulens.core.feedback.endpoint import Endpoint
from trulens.core.instruments import Instrument
from contextvars import ContextVar
Endpoint._context_endpoints = ContextVar("endpoints", default={})
Instrument._context_contexts = ContextVar("context_contexts", default=set())
Instrument._stack_contexts = ContextVar("stack_contexts", default={})