AIMU Notebooks
Runnable tutorial notebooks for AIMU, ordered to build understanding incrementally. They are authored as plain-text Quarto .qmd files (markdown with executable python cells), so they diff cleanly and are easy to edit or hand to an AI assistant.
Most notebooks need a live backend (a running Ollama server, a cloud API key, or a GPU for HuggingFace image/audio models) and gracefully skip sections when a dependency is missing. By default they are not executed at render time (see _quarto.yml); run a cell yourself in Jupyter, or quarto preview a notebook, to execute against your own backend.
Notebooks
- Model Client
- Conversations
- Structured Output
- Vision Input
- Audio Input
- Tools
- Agents
- Agent Skills
- Workflows
- Prebuilt Agents
- Embeddings
- Memory
- Retrieval-Augmented Generation (RAG)
- Prompt Management
- Prompt Tuning
- Evaluations
- Benchmarking
- Image Generation
- Audio Generation
- Speech
- Transcription
- Async (
aimu.aio) - Composing Agents (A2A)
- Personal Assistants
- Sessions (multi-user)
- Remote MCP Servers
- Observing Runs
- Managing Context
- An Agent’s Inbox