Llm Gateway Routing

What it does

This skill enables AI agents to dynamically route requests through a custom LLM gateway, allowing for flexible model selection and configuration management. It acts as an intermediary layer that directs agent queries to specific large language models based on defined rules or system parameters.

When to use it

• You need to switch between different LLM providers without changing your agent's core logic.
• Your workflow requires routing specific task types (e.g., coding vs. creative writing) to specialized models.
• You want to implement cost-saving strategies by directing simple queries to cheaper models while reserving premium models for complex reasoning.
• You are managing a multi-model environment where consistent API handling is required across diverse endpoints.

Key capabilities

• Dynamic request routing through a centralized gateway configuration.
• Support for multiple LLM provider integrations within a single agent setup.
• Flexible rule-based logic to determine the optimal model for each query.
• Centralized management of API keys and endpoint configurations.

Example prompts

• "Route my current coding task to the most cost-effective model available in the gateway."
• "Configure the gateway to send all creative writing requests to Model B while keeping technical queries on Model A."
• "Update the LLM gateway settings to prioritize low-latency responses for real-time chat interactions."

Tips & gotchas

Ensure you have valid API credentials configured for every model intended in your routing rules before activating the skill. Performance may vary depending on the latency of the underlying gateway infrastructure and the specific models selected.