Show HN: OLLS – A Vendor-Neutral Standard for LLM Inputs and Outputs

We have just launched the Open LLM Specification (OLLS) – a community-driven standard that unifies how developers interact with large language models (LLMs) across providers such as OpenAI, Anthropic, Google, and others.

Right now, every provider has different request/response formats, which makes integration painful:

Parsing responses is inconsistent

Switching models needs custom wrappers

Error handling and metadata vary wildly

OLLS defines a simple, extensible JSON spec for both inputs (prompts, parameters, metadata) and outputs (content, reasoning, usage, errors). Think of it like OpenAPI for LLMs—portable, predictable, and provider-agnostic.

GitHub Repo - https://github.com/julurisaichandu/open-llm-specification Example input/output formats, goals, and roadmap Looking for contributors, feedback, and real-world use cases!

Let’s build a unified LLM interface—contribute ideas or join the discussion