# llms.txt for https://iris-go.com
# Last updated: 2025-09-12
# Purpose: Disclosure of Large Language Model (LLM) usage and AI-related practices across the Iris Web Framework ecosystem

[General]
Framework: Iris Web Framework
Language: Go (Golang)
Website: https://iris-go.com
Maintainer: Gerasimos Maropoulos
Contact: support@iris-go.com
License: BSD-3-Clause
Repository: https://github.com/kataras/iris

[LLM Usage]
Status: Experimental / Planned
Use Cases:
  - AI-enhanced documentation (summaries, code explanations)
  - Developer support via conversational agents (e.g., Iris Copilot)
  - Code scaffolding and generation for common web patterns
  - Automated test generation and refactoring suggestions
  - AI-powered search across docs and examples

Models:
  - No proprietary LLMs hosted by iris-go.com
  - External integrations may include:
    - OpenAI GPT models
    - Microsoft Copilot
    - Open-source models (e.g., LLaMA, Mistral, Phi-2)

Data Sources:
  - Official Iris documentation
  - GitHub repositories and examples
  - Community tutorials and forum discussions

[Compliance]
EU AI Act:
  - Risk Level: Minimal (developer tooling, not decision-making)
  - Transparency: All AI-generated content is labeled
  - Human Oversight: Manual review before public release
  - Opt-Out: Users can disable AI features in CLI or IDE plugins

Global Standards:
  - Aligned with OECD AI Principles and ISO/IEC 42001
  - Privacy: No personal data is collected or processed by LLMs
  - Accessibility: AI features are optional and documented

[Ethics & Safety]
Bias Mitigation:
  - AI outputs are reviewed for bias and inaccuracies
  - Community feedback loop for continuous improvement

Security:
  - No user credentials or sensitive data are exposed to LLMs
  - All integrations follow secure API practices

Transparency:
  - AI-generated content is clearly marked
  - Source model and version disclosed where applicable

Open Source Governance:
  - Contributions to AI tooling are open to the community
  - AI features follow the same code review and CI/CD pipeline as core Iris modules

[Future Roadmap]
- AI-assisted CLI for scaffolding, debugging, and deployment
- Natural language queries for documentation and examples
- Plugin architecture for integrating custom LLMs
- Community-driven moderation of AI-generated content

[Disclaimer]
This file is a living document and subject to change. Iris-go.com does not host or train LLMs directly. All AI features are experimental and intended to assist—not replace—human developers. Feedback and contributions are welcome.