byLLM Release Notes#

This document provides a summary of new features, improvements, and bug fixes in each version of byLLM (formerly MTLLM). For details on changes that might require updates to your existing code, please refer to the Breaking Changes page.

jaclang 0.9.0 / jac-cloud 0.2.11 / byllm 0.4.6 / jac-client 0.1.0 (Unreleased)#

jaclang 0.8.10 / jac-cloud 0.2.10 / byllm 0.4.5 (Latest Release)#

byLLM Lazy Loading: Refactored byLLM to support lazy loading by moving all exports to byllm.lib module. Users should now import from byllm.lib in Python (e.g., from byllm.lib import Model, by) and use import from byllm.lib { Model } in Jac code. This improves startup performance and reduces unnecessary module loading.
NonGPT Fallback for byLLM: Implemented automatic fallback when byLLM is not installed. When code attempts to import byllm, the system will provide mock implementations that return random using the NonGPT.random_value_for_type() utility.

jaclang 0.8.9 / jac-cloud 0.2.9 / byllm 0.4.4#

is Keyword for Semstrings: Added support for using is as an alternative to = in semantic string declarations (e.g., sem MyObject.value is "A value stored in MyObject").
byLLM Plugin Interface Improved: Enhanced the byLLM plugin interface with get_mtir function hook interface and refactored the by decorator to use the plugin system, improving integration and extensibility.

jaclang 0.8.8 / jac-cloud 0.2.8 / byllm 0.4.3#

byLLM Enhancements:
Fixed bug with Enums without values not being properly included in prompts (e.g., enum Tell { YES, NO } now works correctly).

jaclang 0.8.7 / jac-cloud 0.2.7 / byllm 0.4.2#

byLLM transition: MTLLM has been transitioned to byLLM and PyPi package is renamed to byllm. Github actions are changed to push byllm PyPi. Alongside an mtllm PyPi will be pushed which installs latest byllm and produces a deprecation warning when imported as mtllm.
byLLM Feature Methods as Tools: byLLM now supports adding methods of classes as tools for the llm using such as tools=[ToolHolder.tool]

jaclang 0.8.6 / jac-cloud 0.2.6 / byllm 0.4.1#

byLLM transition: MTLLM has been transitioned to byLLM and PyPi package is renamed to byllm. Github actions are changed to push byllm PyPi. Alongside an mtllm PyPi will be pushed which installs latest byllm and produces a deprecation warning when imported as mtllm.

jaclang 0.8.5 / jac-cloud 0.2.5 / mtllm 0.4.0#

Removed LLM Override: function_call() by llm() has been removed as it was introduce ambiguity in the grammer with LALR(1) shift/reduce error. This feature will be reintroduced in a future release with a different syntax.

jaclang 0.8.4 / jac-cloud 0.2.4 / mtllm 0.3.9#

jaclang 0.8.3 / jac-cloud 0.2.3 / mtllm 0.3.8#

Semantic Strings: Introduced sem strings to attach natural language descriptions to code elements like functions, classes, and parameters. These semantic annotations can be used by Large Language Models (LLMs) to enable intelligent, AI-powered code generation and execution. (mtllm)
LLM Function Overriding: Introduced the ability to override any regular function with an LLM-powered implementation at runtime using the function_call() by llm() syntax. This allows for dynamic, on-the-fly replacement of function behavior with generative models. (mtllm)