Get A24 movie recommendation via search and memory
Session from agent_traces on Hugging Face by merve · Apache-2.0 · condensed by Coders Talk
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1msession
0interventions
by library · 1d
GOAL
Merve asked her assistant to recommend a good A24 studio movie and settled on one to watch.
- +0mPrompt · +0mCan you recommend me a good movie from A24 studio
- +0mAgent did · +0mSearched memory and web for A24 movie recommendations, tried fetching the A24 films catalog page, hit a web search API error and an unclear fetch result
- +0mFail · +0mWeb search API returned a 503 high-demand error, and the A24 site fetch did not return a usable catalog
- +0mAgent did · +0mFell back to recommending A24 films from memory, grouped by mood: Everything Everywhere All at Once, The Green Knight, Hereditary, Midsommar, Lady Bird, The Whale
- +1mPrompt · +1mI'll do Green Knight, fanxx
- +1mAgent did · +1mSearched memory for viewing preferences and streaming habits, then answered with where to watch The Green Knight (Max, Kanopy, digital rental) and a viewing tip
- +1mOutcome · +1mSession ended with Merve picking The Green Knight and receiving streaming options to watch it
VERDICT
I'd probably just ask directly for a shortlist with where-to-watch info up front, since the web search failed and it had to fall back on memory anyway. The fallback to memory-based recommendations was what actually saved the answer when the search tools errored out.