Language Models are General-Purpose Interfaces

Overview

This framework proposes using language models as a universal interface layer between users and external tools or APIs. It treats the language model as a general-purpose backend that interprets natural language commands and routes them to appropriate functions or data sources.

Best for

Best for
Researchers and developers prototyping general-purpose language-based interface agents

Use cases

• Building natural language interfaces for existing APIs without custom intent schemas
• Prototyping conversational agents that dynamically call external tools
• Implementing flexible command routing based on language model instruction following

Notes

This framework proposes using language models as a universal interface layer between users and external tools or APIs. It treats the language model as a general-purpose backend that interprets natural language commands and routes them to appropriate functions or data sources.

Use cases

• Building natural language interfaces for existing APIs without custom intent schemas
• Prototyping conversational agents that dynamically call external tools
• Implementing flexible command routing based on language model instruction following

Pros

• Eliminates rigid intent classification and slot filling for simpler prototyping
• Leverages the language model’s existing reasoning and instruction-following abilities
• Reduces integration complexity by using natural language as the control mechanism

Cons

• Relies on language model consistency, which can be unreliable for critical tasks
• Higher latency and cost compared to hardcoded, deterministic interfaces
• Requires careful prompt engineering and guardrails to prevent unintended actions

Indexed from awesome-llm and enriched against its public facts.