Routing

Routing is a workflow pattern where an initial step classifies the input and then sends it to the best path for processing. This could mean choosing a specialized LLM, sending it to a human, or routing it to a more traditional algorithm or software process. For example, simple customer service questions might be answered by a basic chatbot, while complex questions requiring reasoning are routed to a more advanced model. This allows for more efficient use of resources by avoiding unnecessary processing with powerful, expensive models.

Key Features

• Input Classification: The initial step identifies the nature of the input and assigns it to a category.
• Specialized Processing: Each category has a dedicated processing path designed to handle that type of input most effectively.
• Dynamic Task Allocation: Routing directs tasks to the most appropriate resources, which could include different LLMs, human agents, or other tools.

Applications

• Customer Support Triage: Routing can direct different types of customer inquiries to the appropriate support agents or automated responses.
• Content Moderation: Routing can categorize content and send potentially harmful content to human moderators for review.
• Financial Trading: A routing system could send basic trades to an automated system, flag suspicious trades for human review, and route complex trades to a team of experts.

Best Practices

• Clearly Defined Criteria: The criteria for classifying inputs should be clear, consistent, and well-documented.
• Robust Error Handling: The routing system should gracefully handle inputs that don't fit into predefined categories, and have fallback mechanisms to prevent errors.
• Performance Monitoring and Optimization: Regularly analyze the performance of the routing system and make adjustments to improve accuracy, efficiency, and resource utilization.