The Problem with LLM Monitoring Today
Most developers building with LLMs realize quickly that "watching the logs" isn't enough. You need to know when your model starts hallucinating, when latency spikes for a specific user, or when costs are quietly ballooning.
However, many monitoring tools are either too heavy, too expensive, or take hours to integrate correctly.
Enter AgentWach
AgentWach is designed to be the lightweight, effortless observatory for your AI agents and LLM applications. It provides real-time insights into your model's performance without the overhead of enterprise-bloat software.
Key Features:
- Traceability: Detailed logs of every prompt and completion.
- Cost Tracking: Keep an eye on your token usage across different providers.
- Performance Analytics: Identify bottlenecks in your agent's reasoning or API calls.
- Developer-First: Built by devs who want to spend more time building and less time configuring dashboards.
Why it matters
As we move from simple chatbots to autonomous agents, the complexity of debugging increases exponentially. AgentWach gives you the "black box" recorder you need to understand exactly why an agent took a specific action.
If you’re currently building an AI-powered app, give it a look. It’s free to start and takes minutes to set up.
Check it out at: agentwach.com
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