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Build LLM-ready context documents from source repositories

Project description

Arian

CI PyPI version Python versions License

Your documentation is a direct reflection of your software, so hold it to the same standards.

Arian generates LLM-optimized context from source code repositories. Instead of dumping raw files, it intelligently selects, compresses, and organizes code so that language models get the most relevant information — within token limits.

Status: Alpha — Core architecture is established. APIs, CLI, and output may evolve.

Highlights

  • Task-aware — File selection and compression adapt to what you're doing (bug fix, feature, review, onboarding...)
  • Token-budget-first — Set a limit, Arian respects it. Never exceeds your budget
  • Smart compression — Large files get compressed to signatures or structure outlines automatically
  • Python deep analysis — Extracts classes, functions, methods via AST for precise fragmentation
  • One commandarian scans your repo and produces a single, organized Markdown context file
  • Flexible output — Merged, separate, or grouped context files per directory

Overview

Arian does not concatenate files. It builds a structured context plan: collects files, classifies them by architectural role, analyzes symbols, applies compression, and renders Markdown optimized for LLM workflows.

# Generate context for a bug fix
arian src/ tests/ --task bug_fix

# Onboard to a new project
arian --task onboarding

# Set a token budget
arian src/ --budget 5000

Output goes to ~/.arian/output/context.md by default. Each file contains a YAML manifest, full directory tree, and syntax-highlighted code blocks organized by importance.

✍️ Author

Created by Salim Namvar. Built out of the need to feed LLMs the right code context — not just all the code.

Usage

Quick examples

# Current directory
arian

# Specific paths with a task
arian src/ lib/ --task feature

# Token budget
arian src/ --budget 10000

# Separate output per directory
arian src/ lib/ --scope separate

# Grouped output
arian --group src/,lib/ --group tests/

# Verbose logging
arian src/ --verbose

Task types

Task What gets prioritized
bug_fix Tests, implementation, dependencies
feature Domain logic, services, test coverage
review Services, domain logic
onboarding README, configuration, entry points
refactor Services, infrastructure
document README, domain, services
general No special prioritization (default)

CLI options

arian [OPTIONS] [paths]...
Option Default Description
--task general Task type driving file priorities
--budget Unlimited Maximum tokens for context
--output, -o ~/.arian/output/context.md Output file path
--scope merged merged or separate
--group Group paths (repeatable)
--verbose, -v Off Debug logging

For detailed usage, see docs/USAGE.md.

Installation

pip install arian

Requires Python 3.10+.

From source (development)

git clone https://github.com/salimnamvar/arian.git
cd arian
pip install -e ".[dev]"

Development instructions are kept to a minimum here. See docs/developer/GITFLOW.md for the full development workflow.

How it works

  1. Collect — Scans repository for files matching configured extensions
  2. Classify — Assigns each file an architectural role (readme, test, domain, service, infrastructure...)
  3. Analyze — Extracts symbols from Python via AST (other languages get role-based classification)
  4. Plan — Ranks files by relevance to the task, applies compression, enforces token budgets
  5. Materialize — Loads content, applies compression (full → signatures → structure → summary), fragments large files along symbol boundaries
  6. Render — Produces Markdown with manifest, directory tree, and syntax-highlighted code

Compression levels

Level When What it keeps
Full Small, high-priority files Complete content
Signatures Medium files Class/function signatures and docstrings
Structure Large files (>5000 tokens) File structure outline
Summary Very large files Brief summary only

Feedback and Contributing

Contributions are welcome! Open an issue or submit a pull request at the source repository.

For development setup and workflow, see docs/developer/GITFLOW.md.

License

Apache-2.0

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