Observability for Generative AI
Monitor token costs, inference latency, and response quality of your AI models.
Market (2024)
$ 50 Bi (2025)
Loss/Hour
30% on useless tokens
Tech Waste
Manual prompt debugging
Infra Waste
Oversized models
The AI Black Box
AI applications are expensive and unpredictable. Without logs, you pay for useless tokens and miss hallucinations.
Token Costs
Explosion of OpenAI or Anthropic costs without control.
High Latency
Slow LLM response times frustrating the end user.
Hallucinations
Incorrect or toxic responses going unnoticed.
CRITICAL ERROR: CONNECTION TIMEOUT
LLMOps in Practice
Complete trace of every LLM, RAG, and Vector DB call.
Token Metrics
Monitor token consumption and cost by user or feature.
RAG Trace
Visualize context retrieval flow and chunk quality.
Evaluation
Log user feedback and evaluate response quality.
Reliable AI
Cost Reduction
Optimize prompts and models to spend less.
Continuous Improvement
Identify failures and improve model quality.
Master Your AI
Take the blindfold off and see what your AI is doing.