LLMCompiler: An LLM Compiler for Parallel Function Calling

LLMCompiler is a compiler framework that enables large language models to execute multiple function calls in parallel, improving efficiency and reducing latency in LLM-based applications. It optimizes function calling by analyzing dependencies and scheduling independent operations concurrently.

Key Points

• •LLMCompiler enables parallel execution of multiple function calls from a single LLM output, reducing latency compared to sequential execution
• •The compiler analyzes LLM-generated function calls to identify dependencies and determine which calls can safely execute in parallel
• •Implements a task graph representation where nodes are function calls and edges represent data dependencies between them
• •Supports dynamic scheduling that adapts to actual function execution times rather than relying on static analysis alone
• •Reduces overall inference time by overlapping I/O-bound operations and leveraging multi-core/distributed execution
• •Compatible with existing LLM APIs and function calling frameworks with minimal integration overhead
• •Handles error recovery and fallback mechanisms when parallel calls fail or produce unexpected results
• •Optimizes token usage by batching related function calls and reducing redundant LLM invocations

Workflow Diagram

Concepts