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Summary

• Introduces a new tutorial titled "Building and Monitoring AI Agents: A Step-by-Step Guide (Part 2)" focused on AI agent observability.
• Addresses the hallucination problem encountered in the previous tutorial and demonstrates how to implement monitoring using Helicone's Sessions feature.
• Guides users through debugging steps using detailed logging and session tracking to identify and fix bugs in an AI assistant application.
• Provides best practices for monitoring AI agents, including generating unique session IDs and enhancing logging.
• Highlights the importance of observability in AI systems and the potential for ongoing monitoring to improve performance and reliability.

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