Context: A pipeline that fetches emails, triages them via LLM, downloads PDF attachments, extracts insurance policy details via LLM, and saves results. Currently spending ~$0.038/run on Groq Llama 4 Scout.
Per Run (1 user):
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Context: A pipeline that fetches emails, triages them via LLM, downloads PDF attachments, extracts insurance policy details via LLM, and saves results. Currently spending ~$0.038/run on Groq Llama 4 Scout.
Per Run (1 user):
Context: A FastAPI app running a sequential email→triage→PDF→LLM→save pipeline (30-60s per run). Goal: cut always-on compute costs and scale individual bottlenecks independently.
User Request → FastAPI (always-on server)