EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 21·5 min read
Show HN: AgentSight – eBPF observability for AI agents, no code changes
TL;DR
AgentSight is a no-code observability tool for AI agents that leverages eBPF to monitor LLM API calls and token usage at the kernel level, enhancing visibility without altering agent code.
✦ Why It Matters
Implement AgentSight today to gain immediate insights into your AI agents' performance without code changes.
Key Takeaways
- Install AgentSight on Linux with root privileges for full functionality.
- Utilize the dashboard to visualize token trends and agent health.
- Monitor and audit LLM calls for better performance insights.
- Leverage automatic agent discovery to streamline observability.
How It Works
AgentSight operates at the kernel level using eBPF to capture and analyze data related to AI agents. It tracks API calls, token usage, and process behavior without altering the agent's code, providing a seamless observability experience.
The tool's architecture allows for real-time data collection and visualization through a web interface, enabling users to monitor agent performance effectively.