CALIBER
Quickstart

Cookbooks

Cookbooks

Sixteen practical, build-along recipes that teach the CALIBER platform end-to-end — each backed by a versioned, installable system example with readiness checks and an explicit review-before-activation boundary.

16 cookbooks5 tracksUI-firstTraining-readyMermaid flows + UI mockups
How to read each cookbook.
  • Sign in at /caliber/login as admin / admin on a running stack.
  • Each cookbook has a flow diagram, a numbered UI walkthrough (the dark chip is the exact navigation path; “Fill in” lists every field; “Click” is the button to press), a UI mockup, an assets table, and quality gates.
  • Every green link opens the copy-paste asset file in that cookbook's assets/ folder — paste its contents into the matching field.
The UI-first promise. Open Cookbooks to install any of the 16 recipes as a paused workflow and editable draft. Review readiness before activation.
  • Datasets fill from real runs: Observability → open a trace → Add to test set.
  • Deterministic logic uses Data Transform for decisions, JSON Schema, mapping, confidence, and fixtures; Python Code remains a bounded extension.
  • The Prompt Playground is a live chat (it calls the model); prompt regression is scored on the prompt's Runs stage, while Evaluations scores a Test Set with deterministic graders.
  • Judges are for LLM-graded criteria; deterministic checks are scorers or assertions.
  • Aria (12–15) plans from one sentence in Plans; you create each artifact in its own page.

Pick a recipe

Each card opens a self-contained walkthrough — flow diagram, step-by-step UI snapshots, copy-paste assets, and quality gates.

Foundations

Build

Operate

Govern

Aria — Autonomous

CALIBER : Contextual Adaptive Lifecycle for Intelligent Build, Evaluation, and Refinement — Cookbooks — every recipe is UI-implementable on the shipped platform. Source + assets under docs-site/cookbooks/<nn>-…/. Regenerate with python3 docs-site/cookbooks/training/build.py.