⚡ रचना

rachana

Vedic Shilpashastra

Sacred Composition — structure of creation

Schema definition and validation for LLM agent data. JSON Schema, Pydantic, custom validators.

Formerly agent-schema — Part of the Vedic Arsenal: 100 production-grade Python libraries for LLM agents, each named from the Vedas, Puranas, and Mahakavyas.

The ancient Rachana principle from Vedic Shilpashastra finds its modern expression in this library.

Just as the Vedic sages understood that every phenomenon in the universe follows deep patterns — patterns of creation, maintenance, and dissolution — rachana applies this wisdom to LLM agent engineering.

The concept of रचना (Sacred Composition — structure of creation) speaks directly to the technical problem this library solves. When the sages codified this principle in Vedic Shilpashastra, they were describing not just a spiritual truth but a computational truth that would take humanity millennia to rediscover in silicon.

This is not coincidence. The universe has one nature. The Vedas described it first.

flowchart LR
    A[Input] --> B[rachana]
    B --> C{Process}
    C -- Success --> D[Output]
    C -- Error --> E[Handle]
    E --> B
    style B fill:#6b21a8,color:#fff

pip install rachana

Or from source:

git clone https://github.com/darshjme/rachana.git
cd rachana && pip install -e .

from rachana import *

# See examples/ for full usage

rachana is one of 100 libraries in darshjme/arsenal — each named from sacred Indian literature:

Each library solves one problem. Zero external dependencies. Pure Python 3.8+.

1. Fork the repo
2. Create feature branch (git checkout -b fix/your-fix)
3. Add tests — zero dependencies only
4. Open a PR