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Releases: pajeronda/ai_code_task

v1.0.3

05 Feb 14:42

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Fixed startup issue with Home Assistant 2026.2.0

Full Changelog: 1.0.2...1.0.3

v1.0.2

29 Jan 11:03
ec7fce2

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Release v1.0.2

  • Fix: Resolved an error in the config flow regarding the default provider.
  • Improvement: Enhanced the chat history service.
  • Improvement: Improved the registration of static JavaScript resource paths during early startup.

Full Changelog: 1.0.1...1.0.2


v1.0.1

30 Dec 10:49

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Changelog

  • i18n: Add Romanian translations;
  • Fix frontend custom element registration;
  • Fix AI provider fallback.

Full Changelog: 1.0.0...1.0.1

v1.0.0

27 Dec 01:30

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πŸŽ‰ AI Code Task

We are pleased to announce the official release of AI Code Task, a Lovelace card designed to bring AI-driven coding assistance directly into your Home Assistant environment.

This release features a sophisticated frontend card engineered for seamless integration and enhanced productivity.

πŸš€ Key Features

  • Integrated Code Editor πŸ’» Leverage the native ha-code-editor with full syntax highlighting (Jinja2/Python). Includes essential utilities such as Save to Disk, Quick Copy, and automatic detection of manual modifications.

  • Advanced Contextual Chat πŸ’¬
    A modern chat interface built for efficiency:

    • Markdown Rendering: ensuring structured and readable responses.
    • Code Snippets: Automatic extraction of code blocks with a "Load into Editor" function.
    • Persistent History: Conversations and current code states are cached locally, ensuring workflow continuity.
  • File System Management πŸ“‚
    A built-in File Explorer allows you to navigate the /config directory, open existing files directly in the editor, modify, and save them all without leaving the dashboard.

  • Context Awareness 🧠
    Enhance your AI prompts by attaching relevant context:

    • Home Assistant Entities: Select specific sensors or switches to provide real-time state data.
    • Local Files: Upload text files or logs for immediate AI analysis.
  • Multi-Provider Flexibility πŸ”„
    A dynamic selector enables on-the-fly switching between AI backend providers, allowing you to adapt to performance needs or cost constraints instantly.