Composable middleware for LLM inference Optimization Passes
Hey HN, I've been building AutoAgents, an AI agent framework in Rust. Today I'm sharing a feature I haven't seen done well elsewhere: composable middleware layers for LLM inference pipelines. The problem Every agent framework lets you swap LLM providers. Almost none of them give you a structured way to enforce safety, caching, or data sanitization in the inference path itself. You end up with guardrails as application-level if-statements, caching bolted on as a separate service, and PII handling as a "we'll add it later" TODO that never ships. This gets worse with local models. Cloud APIs…
Composable middleware for LLM inference Optimization Passes launched on March 4, 2026 with 7 votes, #1,458 of 23,380 launches that month and more than 75% of that year's launches.
What it does
A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents - liquidos-ai/AutoAgents
In the maker’s words, at launch
Hey HN, I've been building AutoAgents, an AI agent framework in Rust. Today I'm sharing a feature I haven't seen done well elsewhere: composable middleware layers for LLM inference pipelines. The problem Every agent framework lets you swap LLM providers. Almost none of them give you a structured way to enforce…
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