Chatbase’s REST API (v2) enables developers to create, train, chat with, and manage AI agents programmatically. Key capabilities include agent management, real-time streaming responses, conversation handling, and custom actions, all secured with API keys.

The combination of the API and testing tools is what makes this interesting for developers. Being able to build and manage agents programmatically is great, but having a way to test responses, compare models, and debug behavior before pushing changes to production is just as important. It makes the whole process feel much less like guesswork.

Great breakdown. The API and testing tools together make it easier to build something reliable, not just functional. Being able to debug, compare models, and test before going live removes a lot of the guesswork.

loving the look of the backstage natural language debugging tool. traditional log monitoring for LLMs can be a nightmare because you’re trying to decode conversational context from JSON strings .being able to debug agent logic in natural language completely streamlines the developer feedback loop

API access makes AI support much more flexible because businesses can connect it to their existing workflows instead of treating the AI as a standalone tool. Testing is especially important because real conversations can behave very differently from simple demo prompts.