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Salman Parachaleft a comment
Maker here 👋 We built Plano, because building agentic demos was easy, but delivering agentic apps safely, reliably, and repeatably to production is very hard. Plano is delivery infrastructure for agentic apps - an AI-native proxy server and data plane designed to help you build agents faster, and deliver them reliably to prod. The reality of most agentic development is that after a quick hack,...

PlanoBuild agents faster, and deliver them reliably to production
Plano is delivery infrastructure for agentic apps. An AI-native proxy and dataplane that centralizes functionality that shouldn’t be bespoke in every codebase. For e.g. agent routing & orchestration, guardrail hooks, learning signals/traces, and smart routing APIs across LLMs. Use any AI framework, and ship agents to production faster.
With Plano, developers stay focused on core product logic of agents. Product teams learn faster, and engineering teams standardize policies across agents.

PlanoBuild agents faster, and deliver them reliably to production
Arch is an intelligent infrastructure primitive to help developers build fast, personalized agents in mins. Arch is a gateway engineered with LLMs to seamlessly integrate prompts with APIs, and to transparently add safety and tracing features outside app logic

ArchBuild fast, hyper-personalized agents with intelligent infra
Salman Parachaleft a comment
Hello PH! My name is Salman and I work on Arch - an open source infrastructure primitive to help developers build fast, personalized agent in minus. Arch is an intelligent prompt gateway engineered with (fast) LLMs for the secure handling, robust observability, and seamless integration of prompts with your APIs - all outside business logic. Arch is built on (and by the contributors of) Envoy...

ArchBuild fast, hyper-personalized agents with intelligent infra
With more and more LLMs, and a diverse set of benchmarks it's really hard for developers, engineers and decision makers to make sense of evaluating LLMs for their use cases. The LLM challenge tries to measure the metric that matters: were end users satisfied?
The LLM ChallengeMeasuring the quality corridor that matters to end users



