Open-source LLM tracing that speaks GenAI, not HTTP.
World’s first comprehensive evaluation, observability and optimization platform to help enterprises achieve 99% accuracy in AI applications across software and hardware.
traceAI provides end-to-end tracing with 11 span types and 70+ filters to capture agent execution flows. Error Feed aggregates issues by type (e.g., 'Incomplete Answer', 'Ignored Instruction'), and Falcon AI auto-analyzes root causes across 4 scoring dimensions. Users can see exactly where agents fail and why, enabling faster fixes.
Command Center gateway routes requests across 15+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock) with 9 load balancing strategies and auto-failover. Exact and semantic caching (6 backends) reduce redundant calls. Cost tracking and virtual keys enable budget enforcement. Users optimize spend while maintaining reliability.
Protect module includes 15 rule-based guardrails (always free) for PII, secrets, regex patterns, plus ML-powered content moderation (Gemma 3n). 15 external integrations (Lakera, Presidio, Llama Guard) available. Enforce/Monitor/Log modes let users block unsafe outputs or log for review. PII remediation and custom blocklists prevent data leaks.
Simulation module lets users test agents with 28+ pre-built personas and custom scenarios before production. Text and voice simulation (1M tokens + 60 min free/month) generate synthetic conversations. Agentic evaluation agents (error localizer, RAG, tool, prompt) automatically score performance. Users can run A/B tests and track metrics like CSAT, compliance adherence, and conversion rates.
Command Center provides real-time dashboards, custom alerts (3 monitors free, 15+ on paid), and agent graph visualization. Traces capture every agent decision with full-text search. Users set billing limits and get Slack/email alerts on anomalies, enabling proactive issue detection before customer impact.