text: to get detailed tracing, logging and evaluation of your LLM app.# wrap your chain with TruChaintruchain = TruChain(    chain,    app_id='Chain1_ChatApplication',    feedbacks=[lang_match, qa_relevance, toxicity])# Note: any `feedbacks` specified here will be evaluated and logged whenever the chain is used.truchain("que hora es?")Now you can explore your LLM-based application!Doing so will help you understand how your LLM application is performing at a glance. As you iterate new versions of your LLM application, you can compare their performance across all of the different quality metrics you've set up. You'll also be able to view evaluations at a record level, and explore the chain metadata for each record.tru.run_dashboard() # open a Streamlit app to exploreFor more information on TruLens, visit trulens.orgPreviousTrelloNextTwitterWhat is TruLens?Quick startCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.