DevContainer Template for AI work

This is a template for working on Development Containers or GitHub Codespaces with Python and Jupyter Notebooks that I use when working on AI Development projects.

Feedback and bug reports are very welcome! Please open an GitHub issue if you find something that needs fixing or improvement.

Getting Started

Warning

Do NOT git clone the application under Windows and then open a DevContainer. This would create issues with file end of lines. For DevContainer click on the button above and let Visual Studio Code download the repository for you. Alternatively you can also git clone under Windows Subsystem for Linux (WSL) and ask Visual Studio Code to Re-Open in Container.

Provision Azure Resources

Login with AZD:

azd auth login

To provision your Azure resources run:

azd up

If you want to deploy Azure AI Search run:

azd env set HAS_AZURE_AI_SEARCH true
azd up

Note

Azure AI Search is not provisioned by default due to the increased cost and provisioning time.

Start working

🚀 You can start working straight away by modifying notebooks/SampleNotebook.ipynb!

Pre-configured AI Models

This template deploys a comprehensive set of AI models from Azure AI Foundry using GlobalStandard SKU (pay-as-you-go, no running cost). All models are defined in infra/deployments.yaml.

Active Deployments (30 models)

Provider	Models
OpenAI	GPT-4.1 (+ mini, nano), GPT-4o (+ mini), O-series (o1, o3, o3-mini, o3-pro, o4-mini, codex-mini), GPT-5 (+ mini, nano, chat, pro), GPT-5.1 (+ chat, codex, codex-mini, codex-max), GPT-5.2 (+ chat, codex), Embeddings (ada-002, 3-small, 3-large)
DeepSeek	DeepSeek-R1-0528, DeepSeek-V3-0324
Meta	Llama-3.3-70B-Instruct

Commented Out (available in other regions or require registration)

Additional models are available but commented out in deployments.yaml. Uncomment to enable:

Provider	Models	Notes
DeepSeek	DeepSeek-R1, DeepSeek-V3.1, DeepSeek-V3.2, DeepSeek-V3.2-Speciale	May require different region
Meta	Llama-4-Maverick, Llama-3.2 Vision, Meta-Llama-3.x series	May require different region
Mistral AI	Mistral-Large-2411/3, Mistral-Nemo, Ministral-3B, Codestral-2501	May require different region
Cohere	Cohere-command-a/r, embed-v-4-0	May require different region
xAI	grok-3, grok-3-mini, grok-4 series	May require different region
Microsoft	Phi-4, Phi-3.5 series, MAI-DS-R1, model-router	May require different region
Moonshot AI	Kimi-K2-Thinking	May require different region
OpenAI (Image/Video)	gpt-image-1 series, sora, sora-2	Require registration
Black Forest Labs	FLUX.2-pro, FLUX.1-Kontext-pro, FLUX-1.1-pro	Image generation

Note

Model availability varies by Azure region. This template is tested in Sweden Central. Some models (o3-pro, codex-mini, gpt-5.2-codex) are only available in East US2 & Sweden Central.

For the latest model availability, see Azure AI Foundry Models Documentation.

Contents

• notebook/SampleNotebook.ipynb contains a sample for using Azure AI Foundry SDK
• pyproject.toml to manage your Python configuration. Dependencies are automatically installed when the DevContainer is setup (see https://github.com/dbroeglin/aigbb-devcontainer/blob/main/.devcontainer/devcontainer.json#34)
• .devcontainer/devcontainer.json a Development Container (works also as a GitHub Codespace) configuration file that includes:
  • Features:
    • Azure CLI: az
    • Azure Developer CLI: azd
    • GitHub CLI: gh
    • Node JS: node and npm
    • Docker in Docker to run docker commands from the DevContainer
  • Extensions:
    • GitHub Copilot
    • several Visual Studio Code extensions for Azure
    • a YAML extension
    • Jupyter Notebooks
    • UV UV is my go-to package manager for Python. Alternatively if you want to use pip check out the feature/pip branch.
    • Starship to manage the terminal prompt.
    • Many others
• .gitignore for Python
• Open Source MIT LICENSE