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ai-server

Official

Standards and tooling for the Opentrons AI server

Software Engineering#deployment#fastapi#uv#docker#settings#ai-server
AuthorOpentrons
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Defines conventions, structure, and deployment practices for the opentrons-ai-server FastAPI service to ensure consistency across teams and environments.

Core Features & Use Cases

  • Project structure guidance for a standalone FastAPI service (api/, tests/, deploy workflows, and settings).
  • Dependency management and reproducible builds using uv, pyproject.toml, and uv.lock.
  • Configuration and settings handling via pydantic-settings with local .env and AWS Secrets Manager integration.
  • Docker-based deployment guidance and AWS ECS/Fargate deployment considerations.
  • CI/CD and testing guidance, including unit and live tests.

Quick Start

Set up the opentrons-ai-server project by installing dependencies with uv, then run the FastAPI service locally or in CI using the provided Make targets.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ai-server
Download link: https://github.com/Opentrons/opentrons/archive/main.zip#ai-server

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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