llm-pipeline

Installation
SKILL.md

llm-pipeline

Wire multiple LLM calls into a reliable, controllable production pipeline. You chain steps where one call's validated output feeds the next, put a router in front of providers so an outage fails over instead of taking you down, and engineer the cross-cutting concerns: timeouts, bounded retries, fallbacks, caching, and cost caps.

Treat the LLM as an unreliable network dependency, not a local function call. Every rule below follows from that: providers have outages, rate limits, and latency tails, so no single provider is a single point of failure and no call is allowed to run unbounded.

Do you even need a pipeline?

This skill is the orchestration around calls. If you only have one call, you are in the wrong place.

Situation Go to
Make one prompt better, few-shot, system-prompt design ../prompt-engineering/SKILL.md
One call must return a typed object validated against a schema ../structured-extraction/SKILL.md
The model decides its own next step / tool to call ../building-agents/SKILL.md
Chunk/embed/retrieve context to stuff into a prompt ../rag/SKILL.md
Pure spend ledger / attribution / dashboard ../cost-tracking/SKILL.md
Fixed multi-step flow + reliability layer here
Installs
3
GitHub Stars
116
First Seen
Aug 6, 2026
llm-pipeline — ericrisco/rsc-harness