How does Maxim AI handle the evaluation of complex multi-agentic workflows?
Maxim AI provides visual tracing capabilities that allow users to log and analyze complex multi-agentic workflows. This enables a clear understanding of the interaction flow and facilitates debugging and performance optimization within these intricate systems.
Can Maxim AI integrate with my existing CI/CD pipeline for automated testing of AI agents?
Yes, Maxim AI offers automations that integrate seamlessly with CI/CD workflows. This allows for continuous testing and evaluation of AI agents as part of your regular development and deployment process, ensuring ongoing quality.
What types of evaluators are available within Maxim AI, and can I create my own?
Maxim AI includes a unified library of pre-built evaluators and supports custom evaluators. You can leverage various methodologies such as LLM-as-a-judge, statistical analysis, programmatic checks, or human scorers to measure agent quality.
How does Maxim AI assist in managing and evolving datasets for AI agent training and testing?
Maxim AI supports synthetic and custom multimodal datasets, offering easy import and export functionalities. It also provides seamless data curation workflows to continuously evolve your datasets, ensuring they remain relevant and effective for agent development and evaluation.
Beyond prompt engineering, how does Maxim AI support the development and experimentation with custom tools for AI agents?
Maxim AI offers native support for tool definitions and structured outputs. Users can create and experiment with both code-based and API-based tools directly within the platform, enabling comprehensive agent development that includes external functionalities.
What specific metrics can be monitored in real-time for live AI agent interactions?
Maxim AI allows for online evaluations to measure quality on real-time agent interactions, including generation quality, accuracy of tool calls, and effectiveness of retrievals. It also provides real-time alerts to detect and address quality or safety regressions.