What problem does it solve?
This Skill guides you through adding support for new LLM models to Letta Code, including updating src/models.json, CI test matrices, and model validation. It reduces configuration errors and speeds up onboarding of new providers.
Core Features & Use Cases
- Model discovery: Identify valid model handles from common provider prefixes (e.g.,
openai/, anthropic/, google_ai/).
- Configuration updates: Add entries to
src/models.json with fields like id, handle, label, description, and provider-specific updateArgs.
- CI & validation: Extend CI test matrices and validate model handles to prevent misconfigurations.
- Use Case: When you want to add support for a new model (e.g., a new Claude, GPT, or Gemini variant), this skill walks you through the exact steps.
Quick Start
Use the skill to add a new model by updating the models configuration and ensuring CI validation. Example commands:
- Update
src/models.json with a new model entry
- Run validation to verify the handle and configuration
- Run CI tests to confirm compatibility