Modified aimenu function to accept an optional instruction argument, allowing users to provide specific instructions for generating the outline. Updated related logic to handle the new argument and adjusted the system message accordingly.
This commit introduces aimenu, a new package that generates imenu-like outlines using a language model. The new package includes functions for generating and handling outlines, managing cache, and interacting with the user to select headers.
Updated the gptel-directive for org-mode to provide detailed instructions on how to return Emacs Lisp, Python, and shell-script code blocks. Additionally, included several examples to illustrate the expected code block format and evaluation criteria.
This commit introduces two new directives into the gptel configuration: one for code review and another for prompt generation. The code review directive provides guidelines for giving feedback on code snippets, while the prompt generation directive outlines steps for creating effective prompts.
This change adds a new directive to the gptel configuration for creating detailed prompts for stable diffusion image generators. The directive specifies how to translate a simple natural language description into a more detailed and descriptive prompt to ensure high-quality image generation.
This commit introduces the gptel-chat-with-buffer function, allowing users to start a chat with the buffer content. It also updates keybindings, assigning "b" to the new function and moving gptel-select-backend to "B".
Add support for Imenu integration to EWW mode by defining a custom index function that uses HTML headings from the current buffer as menu items, and then add this hook to eww-mode-hook so that it can be triggered automatically when eww buffers are opened. This change includes code borrowed from 3b46f9c0e0
Implemented a gptel-org function to allow interacting with GPTel within an Org-Mode buffer, setting the appropriate system message for context. Updated init-org.el to load Emacs-Lisp and Python Babel languages and disabled org-confirm-babel-evaluate for smoother code execution.
This change introduces a new directive for generating shell commands to the gptel configuration. The directive specifies that the response should be plain text with no additional description or formatting.
Changed the model names from "llama3:latest" and "mistral:latest" to "llama3.1:latest" and "mistral-nemo:latest" respectively in the GPTel Ollama backend configuration.
Added a new function `vterm-aws-switch-profile` to switch AWS profiles in the current vterm buffer and associated it with the keybinding `C-c a` for quick access. This facilitates easier management of AWS profiles within vterm sessions.
This commit adds the ability to access EWW bookmarks. It modifies the init-eww.el configuration file by introducing a function to visit bookmarks and updating the keybindings to include commands for accessing and listing bookmarks.
Updated the guidelines for generating commit messages to avoid using the word 'enhance' and user experience references, and request plain text responses without syntax.
Integrated language-detection to automatically detect and set major modes based on buffer/string content. Enhanced YAML editing with language detection for buffer initialization.
This commit introduces three new custom functions for EWW: `eww-rename-buffer-to-title` for renaming buffers based on page titles, `eww-capture-urls-on-page` to capture all links on the current page, `eww-visit-url-on-page` to select and visit links using completion, and `eww-jump-to-url-on-page` to jump to URLs on the page. These enhancements improve the usability and navigation of EWW.
This commit adds configuration for the built-in `eww` web browser in Emacs. It introduces a custom prompting function that suggests URLs or keywords based on the browsing history, current URL, and other suggestions, enhancing the user experience. Additionally, a key binding for the `eww` function is added in `eww-mode-map`.
Reorganized backend definitions and selection process for gptel, introducing `gptel-backend-openai` and `gptel-backend-ollama` variables. Simplified backend selection logic and improved the `gptel-select-backend` function to dynamically prompt for models.
