LLM Powered Recipe Suggestions #98
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bfollington
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Jun 24, 2024
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It seems like I have to do this to perform an async computation from a signal?
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bfollington
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Jun 24, 2024
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| if (cache[cacheKey]) { | ||
| console.log( | ||
| "Cache hit!", | ||
| (cacheKey.slice(0, 20) + "..." + cacheKey.slice(-20)).replaceAll( | ||
| "\n", | ||
| "", | ||
| ), | ||
| ); | ||
| return new Response(JSON.stringify(cache[cacheKey]), { | ||
| headers: { "Content-Type": "application/json" }, | ||
| }); | ||
| } |
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Simple memory cache to re-use responses for the same request. Useful to save on token spend in dev since we send the same requests every hot-reload.
So as to avoid collision with good old CPU threads
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llm-clientwithlookslike-highlevelfindSuggestionslogic with LLM callllm-clientAPI for convenience of consumer (simplify appending messages)