Features
Autonomous ML engineering from single task prompt
Multi-step reasoning with self-correction and iteration
LLM evaluation and benchmarking across models
Dual-LLM automatic prompt optimization loop
Fine-tuning of LLMs and ML models
RAG pipeline building and optimization
Agent swarm creation and coordination
Integration with VS Code, Cursor, Claude Code, OpenVSX
Bring your own LLM (BYOK) support
GPU sandbox for running experiments on your compute
Versioned artifact management and reporting
Synthetic data generation and dataset engineering
Lite mode and Pro mode for different compute profiles
Credit-based usage metering (per month)
Can run autonomously for days
OpenTelemetry-native ingestion for logs, metrics, and traces
Instant log filtering and search with OpenTelemetry context
Centralized Prometheus and OpenTelemetry metrics monitoring
Real-time distributed tracing with heatmap drilldowns
Perses-based dashboards with configuration as code
Agent0: autonomous incident investigation and fix PRs
PromQL support for queries and alerting
Kubernetes monitoring with pre-built dashboards
Google Cloud SQL monitoring (PostgreSQL, MySQL, SQL Server)
Web events on GeoMap with clustering and tooltips
Synthetic monitoring and website monitoring
Cost control via monthly budget limits and spam filters
Configuration as code for dashboards and rules
Dash0 CLI with OAuth support and OTLP proxy
Keyboard-centric navigation and filtering
