# Sentinel > Documentation for Sentinel, version 1.x. > Every entry links to the page's markdown source. Repository: https://github.com/xraph/sentinel Site: https://www.xraph.com/docs/sentinel ## Pages - [Go Packages](https://www.xraph.com/docs/sentinel/api-reference/go-packages.md): Quick reference for all Sentinel Go packages and their public APIs. - [HTTP API Reference](https://www.xraph.com/docs/sentinel/api-reference/http-api.md): Complete reference for all Sentinel REST endpoints — suites, cases, runs, baselines, red team, prompts, scenarios, and reports. - [Architecture](https://www.xraph.com/docs/sentinel/architecture.md): How Sentinel's packages fit together. - [Configuration](https://www.xraph.com/docs/sentinel/concepts/configuration.md): Options and defaults for the Sentinel engine and Forge extension. - [Entities](https://www.xraph.com/docs/sentinel/concepts/entities.md): The core data types in Sentinel — Suites, Cases, Runs, Results, Baselines, and more. - [Error Handling](https://www.xraph.com/docs/sentinel/concepts/errors.md): Sentinel errors returned by evaluation operations. - [Identity (TypeID)](https://www.xraph.com/docs/sentinel/concepts/identity.md): How Sentinel uses prefix-qualified, globally unique identifiers for every entity. - [Multi-Tenancy](https://www.xraph.com/docs/sentinel/concepts/multi-tenancy.md): How Sentinel scopes suites, cases, runs, and all entities to app and tenant contexts. - [Baselines & Regression Detection](https://www.xraph.com/docs/sentinel/execution/checkpoints.md): Track performance over time and detect regressions against known-good baselines. - [Red Team / Adversarial Testing](https://www.xraph.com/docs/sentinel/execution/memory.md): Test AI agents against adversarial attacks — prompt injection, jailbreaks, data leakage, hallucination, and off-topic manipulation. - [Eval Runs & Results](https://www.xraph.com/docs/sentinel/execution/runs.md): How Sentinel tracks evaluation execution — runs, results, and scoring. - [Getting Started](https://www.xraph.com/docs/sentinel/getting-started.md): Install Sentinel and run your first evaluation in under five minutes. - [Custom Plugin](https://www.xraph.com/docs/sentinel/guides/custom-plugin.md): Build a custom Sentinel plugin by implementing lifecycle hook interfaces. - [Custom Store](https://www.xraph.com/docs/sentinel/guides/custom-store.md): Implement a custom storage backend by satisfying the composite store.Store interface. - [Forge Extension](https://www.xraph.com/docs/sentinel/guides/forge-extension.md): Mount Sentinel into a Forge application as a first-class extension with automatic route registration and migrations. - [End-to-End Evaluation Pipeline](https://www.xraph.com/docs/sentinel/guides/full-example.md): Complete walkthrough — create a suite, add cases, run evaluations, save baselines, and detect regressions. - [Behavior Evaluation](https://www.xraph.com/docs/sentinel/human-model/behaviors.md): Test how an agent reacts — condition-triggered action patterns. - [Cognitive Evaluation](https://www.xraph.com/docs/sentinel/human-model/cognitive.md): Test how an agent thinks — phase transitions, depth, and reasoning strategy. - [Communication Evaluation](https://www.xraph.com/docs/sentinel/human-model/communication.md): Test how an agent talks — tone, formality, verbosity, and technical level. - [The Human Model](https://www.xraph.com/docs/sentinel/human-model/overview.md): How Sentinel evaluates AI agents as compositions of human-like dimensions. - [Perception Evaluation](https://www.xraph.com/docs/sentinel/human-model/perception.md): Test what an agent notices — attention focus and detail orientation. - [Persona Coherence](https://www.xraph.com/docs/sentinel/human-model/personas.md): Test the whole person — end-to-end identity coherence across all dimensions. - [Skill Evaluation](https://www.xraph.com/docs/sentinel/human-model/skills.md): Test what an agent can do — tool selection, proficiency, and correctness. - [Trait Evaluation](https://www.xraph.com/docs/sentinel/human-model/traits.md): Test who an agent is — personality consistency across interactions. - [Introduction](https://www.xraph.com/docs/sentinel.md): Composable AI evaluation and testing framework for Go. - [Audit Trail](https://www.xraph.com/docs/sentinel/infrastructure/audit.md): Bridge evaluation lifecycle events to an audit backend for compliance and debugging. - [MongoDB Store](https://www.xraph.com/docs/sentinel/infrastructure/mongo.md): MongoDB store for document-oriented and horizontally-scalable deployments. - [Observability](https://www.xraph.com/docs/sentinel/infrastructure/observability.md): Built-in metrics extension with lifecycle counters. - [Plugin System](https://www.xraph.com/docs/sentinel/infrastructure/plugins.md): Lifecycle hooks for metrics, audit trails, and custom processing. - [PostgreSQL Store](https://www.xraph.com/docs/sentinel/infrastructure/postgres.md): Production-ready persistence with PostgreSQL, grove ORM, and programmatic migrations. - [SQLite Store](https://www.xraph.com/docs/sentinel/infrastructure/sqlite.md): Lightweight SQLite store for development, testing, and single-node deployments.