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Introduction

Glow Documentation

Documentation for the Glow conversational AI training platform — an academic, self-hostable system for designing and running persona-driven simulations with full grading + analytics.

Getting started

  • Start — install + first-boot of a Glow instance
  • How It Works — the simulation, persona, scenario, attempt loop
  • Tutorial — design your first simulation end-to-end
  • Patterns — proven patterns + anti-patterns
  • Annotated Example — a real seed walked through line-by-line
  • Authentication — sessions and bearer tokens

Reference

  • API Reference — every HTTP endpoint, auto-generated from OpenAPI
  • CLI Reference — every glow command, auto-generated from the CLI spec

The sidebar is organized by API/CLI taxonomy — each group corresponds to a parent artifact or a logical cluster of artifacts in the Glow API. The client product UI uses its own grouping (Learner / Analytics / etc.) optimized for product navigation; the two intentionally differ.

Sidebar groupWhat lives there
AttemptChat · Home · Practice · Dashboard · Reports · Leaderboard
TestBenchmark · Invocation
SystemActivity · Health · Pricing · Session · Group
TrainingCohorts · Personas · Scenarios · Simulations
ManagementDocuments · Fields · Parameters · Profiles
IntelligenceAgents · Models · Providers · Tools
PlatformAuths · Departments · Evals · Rubrics
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