Roadmap for AgentNeo in OpenSource
Framework for Agentic AI Application Monitoring, Observability and Evaluation
In the rapidly evolving world of artificial intelligence, agentic AI applications are becoming increasingly important. These autonomous systems, capable of making decisions and executing tasks, require robust tools for monitoring, evaluation, and optimization. Enter AgentNeo, an open-source framework designed to meet these critical needs in the AI landscape.
Today, we're excited to share our roadmap for AgentNeo, outlining our vision for the future of AI agent development. Let's dive into the key areas we'll be focusing on in the coming months.
1. Building the Foundation: Core Functionality
At the heart of AgentNeo is its ability to trace and monitor AI agents. We're starting with support for OpenAI models and will expand to cover all Large Language Models (LLMs) supported by Litellm. We're also developing a multi-agent framework visualization tool, allowing developers to see how multiple agents interact within a system.
But we're not stopping there. We're working on integrating various tools and frameworks, including:
AutoGen
CrewAI
Langraph
Custom agent orchestration frameworks
Popular open-source agentic applications like GPT-Pilot and OpenDevin
2. Enhancing Visibility: Logging and Visualization
To help developers understand their AI systems better, we're implementing comprehensive logging at both the project and session levels. All this data will be stored locally, ensuring the privacy and security of your information.
We're also developing a locally hosted dashboard that will provide interactive visualizations of LLM and tool usage. This will give you unprecedented insight into how your AI agents are performing.
3. Optimizing Performance
Performance is crucial in AI systems. That's why we're working on features like prompt caching to reduce latency and API costs. We're also developing tools to identify performance bottlenecks and provide detailed pricing and latency analysis for agent workflows.
4. Rigorous Evaluation and Testing
AgentNeo will offer a suite of evaluation tools, including:
Real-time guardrails to prevent undesired agent behaviors
Custom evaluation metrics
Detailed agent scorecards
We're also focusing on advanced error detection, including identifying infinite loops, faulty reasoning, and LLM-specific issues like non-deterministic functions.
5. Prioritizing Security and Privacy
Security is a top priority in AI development. AgentNeo will include tools for:
Third-party API security checks
Jailbreaking detection
Prompt injection detection
Bias detection and mitigation
6. Creating Robust Test Environments
To ensure your AI agents are ready for real-world deployment, we're developing:
A code execution sandbox for safe testing
Anti-agent roadblock detection
Regression testing capabilities
Time replay functionality for debugging
7. Fostering Healthy Competition: Agent Arena and Benchmarking
To drive continuous improvement, we're creating an Agent Battleground for A/B testing different configurations, along with an agentic leaderboard to showcase top-performing agents.
8. Easy Integration: SDKs and More
To make AgentNeo accessible to all developers, we're starting with a comprehensive Python SDK. In the future, we plan to expand language support and develop plugins for popular IDEs.
The Road Ahead
As we look to the future, we're excited about the possibilities for AgentNeo. Some ideas we're considering include:
A marketplace for custom evaluation metrics and tools
AI-driven analytics for agent performance optimization
Expanded language support for our SDKs
We believe AgentNeo has the potential to revolutionize how we develop, monitor, and optimize AI agents. But we can't do it alone. As an open-source project, we invite the AI community to join us on this journey. Whether you're a seasoned AI developer or just getting started, there's a place for you in the AgentNeo community.
Check out our GitHub repository at https://github.com/raga-ai-hub/agentneo to get involved. Together, we can shape the future of agentic AI development!
Stay tuned for more updates as we progress on this exciting roadmap. The future of AI is agent, and with AgentNeo, we're making it more transparent, efficient, and reliable than ever before.