Pillar · observatory

Observatory — show your CFO where the AI money goes.

Cost dashboard, Iron Man HUD, Grafana, audit trail. Per-run, per-project, per-model, per-token spend. Real OTel through VictoriaMetrics + VictoriaLogs, populated by mixed-tenant load. One docker compose brings the stack up. Point your CFO at a live Grafana board — not a screenshot — and they sign off.

from sagewai.observability import CostTracker

with CostTracker(project="acme-prod") as cost:
    agent.run(task)
print(cost.breakdown_by_model())  # paste straight into the slide

→ Example 43 — Observatory live Run the 5-minute quickstart

Other pillars

SDK — the harness that works with any LLM.
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Autopilot — describe the goal, we design the agents.
Goals in, agents out — Curator captures every run
Fleet — workers, dispatch, scoped routing.
24 workers / 100 tasks / 0 cross-tenant leaks (CI-gated)
Training Loop — from juggernauts to your own model.
$0.35 RunPod fine-tune, deployed via Ollama