web-search

Real-time web searches using Playwright browser automation are executed through a localhost-only HTTP bridge that controls a visible browser window to fetch current information. The CLI tooling implements a Google and Bing fallback strategy to ensure search results are returned even if one provider blocks access.

To fetch current information beyond a model's knowledge cutoff, you use a local Playwright-controlled browser to execute live web searches. This approach ensures up-to-date results for queries that exceed static model knowledge, such as verifying latest docs or tracking breaking news.

The web search fallback strategy works when Google blocks automated requests by automatically switching to Bing to ensure results. This robust error handling mechanism is built into the browser automation layer to maintain reliable search access across providers.

You can use a CLI to trigger a Playwright-driven browser search by executing the provided shell scripts. The CLI tooling manages connection caching and robust error handling, allowing you to perform sample searches directly from the command line with specified result counts.

The browser displays all actions during automated web searches to provide transparent operations for user trust and debugging. This visible browser window shows the real-time Playwright-driven execution of the search queries across Google and Bing.

The limitations of using a local HTTP bridge for browser automation include being restricted to localhost-only connections and requiring a running Playwright browser instance. Connection caching and robust error handling are implemented to mitigate performance and stability constraints.