Multi-agent systems fail in production between 41% and 87% of the time, with roughly 79% of failures traced to coordination and specification issues rather than model quality, according to data from M…
A developer surveyed the metric catalogs of five widely-used LLM evaluation tools—Arize Phoenix, DeepEval, Future AGI, Langfuse, and Ragas—and found that the built-in metrics are converging into a com…
Future AGI, an open-source platform for tracing, evaluating, simulating, and guardrailing LLM agents, is now available under the Apache 2.0 license and is self-hostable. Self-hosted instances register…
A developer evaluates six LLM observability tools—Helicone, LangSmith, Langfuse, Future AGI, and Braintrust—for debugging hallucinated answers in production. The key requirement is the ability to quic…
A developer evaluated six LLM-as-judge tools—DeepEval, Confident AI, Evidently, Braintrust, Promptfoo, and Future AGI—and found that none of them prioritize validating judge outputs against human labe…