Any LLM Architecture
RAG, Agent, Task, Summarization every AI App is different. Use Okaero to build, debug, and maintain your App regardless of how you are using AI.
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Register a model endpoint
Register a model or custom endpoint that you want to evaluate. Pass static or synthetically generated and labeled scenarios.
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Describe what it should do
Calibrate responses with code generated evaluators + scenarios to report on your AI App's behavior. Or, draw from a library of private and published evaluators for Classification, Retrieval, Generation, CodeGen, Text Formatting, Task Orchestration, and more.
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Automate flows in CI to detect problems
Establish baseline metrics, discover side-effects due to model or context changes and stabilize end-to-end validation with CI workflows.
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Feedback loop for fine-tuning and correcting context errors
Using Okareo during development and adding the Okareo production listener provides a full loop of feedback. Continuously improve finetuning and context based on real interactions, not just adhoc manual interactions.
