typedown 0.2.3

Progressive Formalization for Markdown using Pydantic and Pytest

Typedown: The Consensus Modeling Language (CML)

Typedown is a language designed for Literate Modeling. It bridges the gap between the fluidity of human thought (Markdown) and the rigor of engineering (Pydantic + Pytest).

"You don't know it until you model it." — Manifesto

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The Trinity

Typedown treats Markdown as a first-class language for Consensus as Code (CaC), built on three pillars:

1. Markdown (Interface): Retains nature language expressiveness. It's the habitat for humans and AI.
2. Pydantic (Structure): Defines strict data schemas via model blocks.
3. Pytest (Logic): Enforces business rules and constraints via spec blocks.

Why Typedown?

Traditional tools force a binary choice:

• Liquids (Text/Markdown): High fluidity but zero structural integrity. Documentation rots instantly.
• Crystals (Code/JSON/SQL): High integrity but zero flexibility. Hard for humans to browse and for AI to grasp intent.

Typedown is Active Soft Matter. It allows information to "phase transition" from loose notes into solid, validated models within the same document.

Core Features

• Progressive Formalization: Start with a sketch, end with a verified system.
• Triple Resolution: Resolve references [[ref]] through Hash (L0), Handle (L1), and Logical ID (L2).
• Evolution Semantics: Track time using former (versioning) and derived_from (prototyping).
• Context-Aware Scoping: Implicit hierarchy via config.td and directory inheritance.
• QC Pipeline: Four-layered validation from syntax (Lint) to external facts (Test).

Quick Start

1. Define a Model

Define your schema directly in Markdown using Python:

```model:UserAccount
class UserAccount(BaseModel):
    name: str
    age: int = Field(..., ge=18)
    role: str = "member"
```

2. Declare an Entity

Instantiate data using YAML with smart reference unboxing:

```entity UserAccount: alice
id: "iam/user/alice-v1"
name: "Alice"
age: 30
role: "admin"
```

3. Write a Specification

Add business logic that targets your data:

```spec id=check_roles
@target(type="UserAccount")
def validate_admin(subject: UserAccount):
    if subject.role == "admin":
        assert subject.age >= 25, "Admins must be senior"
```

CLI Usage

The td tool is your companion for the development loop:

• td lint: (L1) Check Markdown syntax and YAML formatting.
• td check: (L2) Validate entities against Pydantic models.
• td validate: (L3) Check references and run spec blocks (Internal Logic).
• td test: (L4) Run external verification (Oracles/APIs).
• td run <script>: Execute scripts defined in Front Matter.

Installation

Typedown thrives in the uv ecosystem.

# Clone and sync
git clone https://github.com/IndenScale/Typedown.git
cd Typedown
uv sync

# Run help
uv run td --help

# Or use the alias
uv run typedown --help

Documentation

• GEMINI.md: AI Agent Guidance (Start here for AI dev).
• Chinese Documentation: The current primary source of truth.
• Manifesto: Why we built this.

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License

MIT © IndenScale