This commit introduces two main enhancements to Gurt's capabilities:
1. **Tenor GIF Integration:**
* The AI can now request Tenor GIFs via a `request_tenor_gif_query` field in its response schema.
* `api.py` handles these requests by searching Tenor (using the new `TENOR_API_KEY` from config) and appending the GIF URL to the AI's message content.
* System prompts have been updated to instruct the AI on how to request GIFs.
2. **Custom Emoji & Sticker Learning and Usage:**
* Introduces an `EmojiManager` (in the new `gurt/emojis.py`) to store and manage mappings of custom emoji/sticker names to their URLs. This data is persisted to `EMOJI_STORAGE_FILE`.
* Gurt now automatically learns custom emojis and stickers (and their URLs) from user messages via the `on_message` listener in `listeners.py`.
* The AI can be prompted to use these learned emojis/stickers by referencing their `:name:`.
* `api.py` processes AI responses to identify known custom emojis/stickers. For stickers, their URL is appended to the content if mentioned.
* A `learnemoji` command has been added for manually teaching Gurt emojis/stickers, although automatic learning is the primary mechanism.
* System prompts are updated to guide the AI on using custom emojis/stickers.
Introduces `get_user_avatar_data` to retrieve a user's avatar as base64 encoded image data, allowing the AI to "see" the profile picture directly. This includes special handling in `process_requested_tools` to attach the image as a `types.Part` in the prompt.
Also adds `get_user_highest_role_color` to fetch the color and details of a user's highest-positioned role.
This commit improves user identification in two key areas:
1. **AI Response Context:**
In `gurt/api.py`, messages processed by the AI now include a more informative author string, combining the user's display name and username (e.g., "DisplayName (Username: actual_username)"). This provides richer context about message authors.
2. **Tool Definitions:**
Descriptions for tools in `gurt/config.py` and `gurt/prompt.py` (e.g., `search_user_messages`, `get_user_facts`) and their parameters have been updated to explicitly state that user identification relies on "User ID". This enhances clarity for the AI model and developers.
Implement `/gurtignore` commands to manage channels Gurt should ignore.
- Add `gurtignore add` to add a channel to the ignore list.
- Add `gurtignore remove` to remove a channel from the ignore list.
- Add `gurtignore list` to display currently ignored channels.
- Update `GurtCog` and `config.py` to support ignored channel IDs and file management.
- Ensure ignore commands are owner-only.
- Modify `listeners.py` to prevent Gurt from processing messages in ignored channels.
