The platform is easy to integrate, with libraries providing automatic instrumentation for quick setup. It also offers a range of additional features loved by developers, including live tail, instant search, data labeling, self-hosting, a playground for collaborative iteration on prompts, a data API, alerts, react hooks, and AI evaluations. Users can get started in minutes either on their own or with the platform's hosted version.
Key takeaways:
- LLMonitor provides observability, analytics, and tests for AI agents and chatbots, allowing you to monitor their performance in production.
- It offers features such as logging calls, monitoring costs, debugging complex agents, alerting when things go wrong, replaying user chats, and creating training datasets.
- LLMonitor supports all models, whether they're the latest OpenAI models or an open-source model, and can be integrated in seconds with automatic instrumentation provided by their libraries.
- Developers can also benefit from features like live tail, instant search, data labeling, self-hosting, playground, data API, alerts, react hooks, and AI evaluations.