TE
TechEcho
Home24h TopNewestBestAskShowJobs
GitHubTwitter
Home

TechEcho

A tech news platform built with Next.js, providing global tech news and discussions.

GitHubTwitter

Home

HomeNewestBestAskShowJobs

Resources

HackerNews APIOriginal HackerNewsNext.js

© 2025 TechEcho. All rights reserved.

Show HN: PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling

6 pointsby tirumaraiselvan5 months ago

1 comment

tirumaraiselvan5 months ago
Hi HN<p>PromptQL is a programmatic approach to LLM tool composition which has shown remarkable improvement in accuracy (~2x) and repeatability (~4x) when compared to traditional tool calling and chaining approaches.<p>Fundamentally, PromptQL separates the creation of a query plan from the execution of the query plan. PromptQL uses the LLM to first create a program to compose the different tool calls hence avoiding the challenges with in-context tool chaining like accuracy, repeatability and context limits.