Changelog

v2.1.0

CLI !!!
Use dandy to access the new command line interface.
All commands have a basic help provided with autocomplete.
The default / no command will answer questions about the cli.
Diligence System (Experimental)
The Bot class has a new attribute called diligence which is defaulted to 1.0
You can adjust diligence between 0.0 (almost no effort) and 2.0 (maximum effort)
Adjusting the diligence level allows you to control processing with any LLM.
This feature is experimental and works with any llm model.

Updated the dandy.conf.settings to be much more flexible with different use cases and systems.
Lots of refactoring, typing and code cleaning to new ruff and ty configuration.

This is a major release, and we highly recommend reading our documentation before upgrading.

Ollama API support has been removed from this project and is now defaulted to the OpenAI API standard.
Since Ollama supports the OpenAI API standard, you can continue to use Dandy with Ollama.
Removed calculator module.
Removed processor module and BaseProcessor class; Bot is now the primary entry point.
Adapted Decoder from standalone processor into a service usable via the Bot module.
Bot().llm.decoder
Removed Agent module.
Removed all LLM_DEFAULT_* from settings and now require it to be set inside of LLM_CONFIGS for each model.
By default, it uses the defaults on the llm endpoint.
All exceptions that were postfixed Exception are now postfixed Error.
Example: DandyCriticalException is now DandyCriticalError
The example project has moved to tests.example_project and has been added as a required test.
Removed PromptOrStr and PromptOrStrOrNone TypeAlias's.
Removed toolbox module (functionality replaced by the new CLI).
Replaced makefile with justfile.
All Prompt methods have had the argument triple_quote changed to triple_backtick.
All attributes on Bot that were prefixed with llm_ have had their prefix removed (except llm_config and llm_temperature).
Example: Bot().llm_task is now Bot().task

All options in LLM_CONFIGS now need to be inside an OPTIONS key and are set as lower case keys.
Example: OPTIONS: {'temperature': 1.4, 'top_p': 0.7, 'frequency_penalty': 0.2, 'presence_penalty': 0.1}.

FileService is now available on Bot via Bot().file to make it easy to manipulate and work with files.
HttpService is now available on Bot via Bot().http for making HTTP requests.
IntelService is now available on Bot via Bot().intel for manipulating Intel classes and objects.
The Bot().llm.prompt_to_intel method now supports Vision and Audio.
The command line interface is back and better than ever, check it out by typing dandy in your terminal.
Type into the input to learn more about the features.
Use / to run a command.
BaseListIntel is a new base class for creating Intel objects that primarily wrap a list of items, providing list-like access.
DefaultIntel is a simple Intel class with a text field for quick use.
The BaseIntel has some new convenience methods save_to_file and create_from_file for easy long-term storage.
Configuring LLM options can now be done through Bot().llm.options and Bot().llm.decoder.options.
Example: new_bot = Bot() ... new_bot.llm.options.temperature=1.4

Fixed a bug with directory_list method on the Prompt class when a file has no extension.
dandy.llm.conf.LlmConfigs are now checked during usage to allow for better control loading environments.
dandy.conf.settings now reloads its current state at the time of attribute access instead of once during init.
Fixed many issues with customizing all Service and Processor subclasses.
Decouple a lot of the LLM modules to allow for better maintainability and testing by using the new LlmConnector.
Added 2026_roadmap.md to track future development plans.
Reorganized project structure to be more service-oriented.