LLM Wrapper

Definitions

1. A wrapper around large language model APIs that hides provider details and exposes a cleaner project-specific interface. LLM wrappers are common when teams want one consistent call pattern across different models or vendors.

   In plain English: A helper layer that simplifies how software calls large language models.

   Example: "They wrote an LLM wrapper so every service could request structured output without knowing the provider-specific parameter names."

Related Terms

• AI Layer
• LLM Benchmark
• LLM Cache
• LLM Calling
• LLM Completion
• LLM Config
• LLM Memory
• LLM Optimization