Future AGI vs Langtail

Generate personas, scenarios and synthetic datasets to stress-test text and voice agents across many conversation branches before launch.

Combine always-free heuristic metrics, code evaluators and LLM-as-judge scoring, including agentic evaluators that localise errors in RAG and tool calls.

Route traffic across 15+ LLM providers with load balancing, failover and caching, plus 15 built-in rule-based guardrails and ML content moderation.

End-to-end traces, sessions, agent graphs, custom dashboards and alert monitors give real-time visibility into production behaviour.

Build, test, and version prompts in a table-based editor that anyone comfortable with spreadsheets can use.

Add natural-language assertions, pattern matching, or custom code checks and run them over datasets to catch regressions.

Trace every request and response, inspect latency and cost, and diagnose why an LLM answered the way it did.

One-click AI Firewall blocks prompt injection, denial-of-service attempts, and information leaks with customisable content filtering and alerts.