How to monitor and evaluate LLM applications with LangSmith

Description

Most LLM applications don't fail due to poor models, but rather from insufficient visibility. Once an issue occurs in production, the impact has already taken place. LangSmith provides real-time observability into your LLM workflow. Track each step, including prompts sent, context retrieved, and model decision logic. Without this level of observability, minor issues may escalate into production failures. Whether you rely on RAG pipelines or autonomous agents, LangSmith immediately secures the transparency your pipeline needs to prevent disaster. Want to improve your LLM performance? Talk to our experts and discover how BIX can implement observability best practices in your project. Get in touch: https://bixtech.ai