model-configuration
Letta Model Configuration
Patterns for configuring LLM models on Letta agents via SDK/API. Covers model handles, settings, provider-specific configuration, and custom endpoints.
When to Use This Skill
Use this skill when:
- Creating agents with specific model configurations
- Adjusting model settings (temperature, max tokens, context window)
- Configuring provider-specific features (OpenAI reasoning, Anthropic thinking)
- Setting up custom OpenAI-compatible endpoints
- Changing models on existing agents
- Configuring embedding models for self-hosted deployments
Not covered here: Model selection advice (which model to choose) - see agent-development skill's references/model-recommendations.md.
Model Handles
Models use a provider/model-name format:
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