Levia
LeviaProtocol
LeviaProtocol
  • Introduction
  • Architectural Philosophy
  • Core Architecture
  • Core Concepts
    • Metacognition
      • Metacognition Strategies
      • Metacognition States
      • Metacognition Stream
    • Memory Management
      • Episodic memory
      • Factual memory
      • Key & Secrets Vault
      • Short-term memory
      • External memory
    • Neural Network of Tools
    • Agent Identity
  • Building on Levia
    • Quickstart
    • How to Contribute Tools
  • Tokenomics
    • Token Distribution
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On this page
  • Contributing a New Tool
  • Repository Structure
  • Required Tool Structure
  • Contribution Guidelines
  • Contribution Process
  • Review Process
  • After Submission
  • Getting Help
  • How Levia Integrating a New Tool
  • Process Overview
  • Detailed Steps
  • Integration Requirements
  • Safety Measures
  1. Building on Levia

How to Contribute Tools

A guide to the Levia tool integration process for community contributions.

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Last updated 3 months ago

Contributing a New Tool

Use the tool template:

Repository Structure

levia_is_us_root/
├── metacognition/
│   ├── ..../
├── engine/
│   ├── ..../
├── memory/
├── test/
├── tools/          # Your tool should be under here
│   ├── tool_1/     # Existing tool 1
│   ├── tool_2/     # Existing tool 2
│   ├── your_tool/  # Your tool
└── other...

Required Tool Structure

When submitting a new capability, ensure it follows this structure:

capability-name/
├──* main.py           # Main file you should put your controller in
├──* requirements.txt  # Dependencies
├── security.yaml     # Security declarations generated by Levia
├── tests/            # Test cases generated by Levia
└── docs.md           # Documentation generated by Levia

note: * is required file you need to prepare for Levia

Contribution Guidelines

1. Before You Start

  • Check existing tools to avoid duplicates

  • Read our code of conduct

  • Star the repository to show your support

  • Join our community Discord for discussions

2. Development Requirements

  • Python 3.8 or higher.

  • main.py should only contain functions for the application's entry point.

  • Functional modules must be placed under the ./src directory.

  • All dependencies must be listed in requirements.txt.

  • Code must comply with linting rules (flake8, black).

  • Achieve 100% test coverage for critical paths.

3. Documentation Requirements

Your main.py must specify:

  • External URL endpoints

  • Required access permissions

  • Data handling patterns

  • Resource limitations

  • Network requirements

  • Security compliance declarations

Contribution Process

Step 1: Fork & Branch

  1. Fork the repository

  2. Create a feature branch: feature/capability-name

  3. Implement your capability following our structure

Step 2: Development

  1. Write clean, documented code

  2. Include comprehensive tests

  3. Follow our code style guide

  4. Document all dependencies

Step 3: Testing

  1. Run the test suite: pytest tests/

  2. Ensure code coverage: pytest --cov

  3. Run linting: flake8 and black

  4. Test all examples

Step 4: Pull Request

  1. Create a detailed PR description

  2. Link related issues

  3. Complete the PR template

  4. Request review from maintainers

Review Process

  1. Automated checks

    • Code style

    • Test coverage

    • Security scanning

    • Dependency verification

  2. Manual review

    • Code quality

    • Documentation completeness

    • Security considerations

    • Performance impact

After Submission

  • Respond to review comments promptly

  • Be open to feedback and suggestions

  • Help maintain your capability

  • Update documentation as needed

Getting Help

  • Open an issue for bugs

  • Check our FAQ in the wiki

  • Contact maintainers for security issues

How Levia Integrating a New Tool

A guide to the Levia tool integration process for community contributions.

Process Overview

  • Submission: Contributors submit tools via Levia Protocol

  • AI Code Review: Automated quality and security checks

  • Testing: Automated functionality verification

  • Documentation: AI-assisted code documentation

  • Integration: Final approval and system integration

Detailed Steps

1. Code Review

  • Static code analysis for quality metrics

  • Security vulnerability scanning

  • Best practices compliance check

  • Dependencies verification

  • Performance impact assessment

2. Quality Assurance

  • Automated test case generation

  • Function call validation

  • Edge case testing

  • Response time monitoring

  • Error handling verification

3. Documentation & Integration

  • Auto-generated documentation

  • Usage examples creation

  • API specification validation

  • Version compatibility check

  • Integration pathway mapping

Integration Requirements

  • Clean code practices

  • Comprehensive error handling

  • Clear documentation

  • Performance optimization

  • Security compliance

  • Versioning support

Safety Measures

  • Sandboxed testing environment

  • Rate limiting implementation

  • Access control verification

  • Data privacy compliance

  • Resource usage monitoring

The process ensures community tools meet Levia's standards while maintaining system reliability and security.

Join our for questions

Discord
GitHub - Levia-is-us/Levia-tool-template: A downloadable tool template that you can use to contribute to Levia’s project.GitHub
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