Response Latency
Response Latency refers to the time delay between the initiation of a request and the commencement of the response. In the context of ai-agent architectures, latency is heavily influenced by the complexity of decision-making processes at each step of the agent loop.
Key Factors Influencing Latency
- Decision Model Overhead: Traditional architectures rely on large language models (LLMs) for nearly every decision point, including simple tasks like tool selection or safety checks, which significantly increases processing time.
- Structured Decision Models: Specialized models like jev and openjev are designed to enhance efficiency by handling specific decision types more rapidly than general-purpose LLMs.
- Iterative Processing: Latency accumulates across the iterative steps of the agent loop; optimizing individual decision points reduces total end-to-end latency.