Cheap Node.js Summarization API: Split Long Sales Text with Token Counts
The quality-versus-latency choice should be made before a summarization request, not after a salesperson is staring at a blank CRM record. TL;DR: count or estimate tokens, split long transcripts at semantic boundaries, summarize the chunks, and perform a final reduction into typed CRM actions. Offer a brief mode for the live workflow and a detailed mode for asynchronous review. Estimate the…
When summarizing long sales transcripts, the goal is to split the call into manageable chunks while preserving important details like speaker turns, facts, commitments, owners, dates, objections, and tone. A Node.js summarization API can be designed with four states: admitted, chunked, reduced, and committed. Admission checks various parameters before dispatching the request, estimating cost as an admission control signal.
Chunking prefers preserving speaker turns or sentence boundaries, recording source offsets. Reduction receives all chunk results in source order to maintain original order and highlights key information. Commit validates the CRM action shape and performs a conditional write, only if a summary exists. The pipeline provides a comprehensible product decision, with brief and detailed modes offering different output budgets and field quantities.
The main path uses a verified OpenAI-compatible chat surface, ensuring speaker turns are kept intact and caps chunks at a reasonable token count.
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