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MonitoringFreeOpen Source
FUTURE AGI
End-to-end LLM evaluation and observability platform
Apache-2.0
ABOUT
Production LLM applications are difficult to evaluate and debug — traditional monitoring tools capture latency and errors but miss semantic quality, prompt effectiveness, and agent behavior. Developers lack a unified system for tracing LLM calls, running evaluations, simulating edge cases, and enforcing guardrails across their AI stack. Future AGI solves this with an integrated platform that combines distributed tracing for 50+ AI frameworks, configurable evaluation metrics, prompt optimization, dataset management, and guardrail enforcement — all self-hostable under Apache 2.0.
INSTALL
pip install futureagiINTEGRATION GUIDE
1. Trace every LLM call, tool invocation, and agent step across 50+ AI frameworks in a single dashboard
2. Run automated evaluations with 50+ built-in metrics to measure response quality, relevance, and safety
3. Simulate edge cases and user interactions to test agent behavior before production deployment
4. Enforce content and format guardrails on LLM outputs to prevent unsafe or off-topic responses
5. Optimize prompts automatically using genetic algorithms like GEPA and PromptWizard
TAGS
monitoringevaluationobservabilitytracingllmguardrailssimulationpython