Introduction

Astra is an enterprise agent incubation platform that helps organizations transform proof-of-concept (PoC) AI agents into production-ready solutions. Through a systematic evaluation framework, Astra assesses agent performance, identifies gaps, and provides actionable recommendations to improve agent quality, reliability, and overall evaluation scores.

How to Use These Docs

The documentation is structured to guide you from foundational concepts to advanced execution patterns, helping you progressively understand how Astra models transactions, permissions, and agent-driven workflows.

You can follow the docs based on sections like Platform, Developer, OpenAPI docs or integration guides depending on your use case. Each page is designed to be self-contained, with clear explanations and practical examples so you can quickly apply concepts in real scenarios.

To facilitate navigation within a page, you will find a table of contents on the right side of the screen. This allows you to easily jump between different sections of the page.

Docs for LLMs

We support the llms.txt convention for making documentation available to large language models and the applications that make use of them.

Currently, we have the following root-level files:

• /llms.txt — a listing of the available files
• /llms-full.txt — complete documentation for Chakra
• /sitemap.xml — sitemap for Astra