Roadmap

What we’re building next. No dates — just direction.

Recently shipped

Evals system

LLM-as-judge quality scoring for agent outputs; correctness, groundedness, JSON validity, and tone.

Pipeline DAG visualization

Visual pipeline graph in the trace modal with per-agent cost, duration, and status.

Auto trace propagation

Parent agent runs automatically link to child agents without manual parent_trace_id passing.

Cost optimization insights

Detects redundant tool calls, model mismatch, and cost spikes with estimated monthly savings.

OpenTelemetry compatibility bridge

Point your OTLP/HTTP exporter at Farol — no SDK changes required.

Proactive trend alerts

Cost, latency, and success rate drift detection.

Alert grouping

Multiple agents affected by the same issue shown as one alert.

Multi-agent trace linking

Connect child agent runs to their parent pipeline.

Prompt version tagging

Compare cost and quality across prompt versions.

Agent Health Score

One number (0–100) combining all agent signals.

Framework integrations

LangChain, CrewAI, and Vercel AI SDK examples in the docs.

Coming next

Alert grouping by root cause

Not just time proximity.

Prompt version filter in runs table
LangChain / CrewAI first-class SDK integration

Beyond documentation examples.

Later

Team features for Studio plan
Audit log export for compliance
Auto-failover to cheaper model when budget is hit