adding-models

The 'adding-models' skill provides a comprehensive guide for integrating new Large Language Models (LLMs) into Letta Code. This skill is particularly useful for users who want to expand the support for LLMs, need to validate model handles, or wish to update existing configurations. By following the outlined steps, users can easily add new models, validate them, and integrate them into their projects. The skill ensures that adding models is a smooth process by providing clear instructions on working with the necessary configuration files and workflows.

Main features of the skill include handling the models.json configuration file for adding new models, modifying the CI test matrix to include new models for automated testing, and validating model handles using the Letta API. The skill also addresses toolset detection based on model provider, ensuring seamless integration with the right toolset without requiring manual intervention. Users can quickly test new models with headless mode and add them to the CI pipeline for consistent testing across updates. This flexibility makes the skill suitable for a variety of use cases in machine learning model integration.

The skill is mainly targeted at developers and data scientists who are working with Letta Code and wish to incorporate new models into their system. It helps them manage models efficiently, integrate new models into their projects, and automate testing, ensuring that their systems are up-to-date with the latest AI technologies.