Abstract
Give a personal agent access to information beyond its model’s training data. This talk introduces OpenClaw, Tavily for real-time search, and Nebius Token Factory for LLM inference, then shows how to combine them into a search-enabled agent.
Who it’s for
Developers building personal agents or exploring how to add live web search to LLM applications. Familiarity with LLM APIs will help you follow the integration.
What you’ll learn
- Understand the roles of OpenClaw, Tavily, and Nebius Token Factory in an agent application.
- Connect real-time search with LLM inference in an OpenClaw workflow.
- Recognize when an agent needs fresh information to answer a question.
Format / duration
- Format: Talk + demo.
- Duration: 30 mins to 60 mins, adaptable to event format
Resources
Video, slides, and code are not currently linked for this session.