# Overview AgentNeo is an advanced, open-source Python SDK for Agentic AI Application Observability, Monitoring, and Evaluation Framework. It provides deep insights into your AI agents, Large Language Model (LLM) calls, and tool interactions, helping you build more efficient, cost-effective, and high-quality AI-driven solutions. ### Key Benefits * **Enhanced Visibility**: Get deep insights into your AI application's behavior * **Performance Optimization**: Identify and resolve bottlenecks * **Cost Control**: Monitor and optimize LLM usage and costs * **Quality Assurance**: Evaluate and improve agent performance * **Easy Integration**: Simple decorators for quick implementation ### Features at a Glance * **Tracing**: Monitor LLM calls, agent actions, and tool usage * **Interactive Dashboard**: Visualize execution flows and metrics * **Evaluation Framework**: Assess agent performance with built-in metrics * **Storage Solutions**: Flexible data storage with SQLite and JSON * **Project Management**: Organize and manage multiple projects --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://agentneo.raga.ai/getting-started/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.