LLMProvider
AssessLanguages & Frameworks
A custom abstraction layer for swapping LLM backends and SDKs.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 5Hacker News·8/5/2026researchBuilding a Production-Grade Agentic Harness
The article explains how to evolve a basic LLM agent loop into a more reliable production harness by adding planning, parallel execution, typed tools, layered memory, verification, budgeting, and tracing. It uses a city-comparison agent as a running example to show how these pieces improve debuggability, measurability, and fault tolerance without hiding the underlying mechanics behind a framework.