web-search

To perform real-time web searches and get structured results, initialize the z-ai-web-dev-sdk in your backend project and invoke the web search function. This queries the web and returns an array of SearchFunctionResultItem objects containing url, name, snippet, host_name, date, and favicon for easy integration.

The best way to integrate web search data into automation workflows is using a production-ready SDK invocation pattern. By calling the web search function with your query, you retrieve current information formatted as structured SearchFunctionResultItem arrays that downstream components can directly consume.

Yes, you need the z-ai-web-dev-sdk installed and configured in your backend project to retrieve web search results. This dependency powers the web search capability and returns structured data including url, name, snippet, host_name, date, and favicon for content discovery tasks.

Yes, you can run web searches via CLI for research and monitoring tasks. The skill supports CLI-based queries alongside production integrations, returning structured results containing url, name, snippet, host_name, date, and favicon for real-time information retrieval.

The web search function returns data as an array of SearchFunctionResultItem objects. Each object includes structured fields like url, name, snippet, host_name, date, and favicon, allowing downstream AI applications to easily consume current web information.

Using an SDK for web searches provides reliable, structured results without the overhead of parsing unstructured HTML. It returns formatted SearchFunctionResultItem objects with url, name, snippet, host_name, date, and favicon, enabling immediate consumption by AI applications and automation workflows.