How does it ensure API stability?

It enforces strict JSON decoding and requires that any unsupported fields are explicitly rejected as documented in the runtime contract.

What is the primary purpose of the lcp-openai-serve skill?

It is designed to help developers build and maintain the OpenAI-compatible gateway within the Lightning Compute Protocol, ensuring security, privacy, and protocol stability.

How does this skill handle sensitive user data?

The skill enforces a non-negotiable rule against logging raw prompts or model outputs, ensuring that user interactions remain private and secure.

What programming language is this skill optimized for?

This skill is specifically tailored for Go development, utilizing tools like golangci-lint and the go-cmp library for testing.

Does it support Lightning Network integrations?

Yes, it encourages the use of lnd-provided libraries and APIs to integrate compute jobs with Lightning Network payments.

OpenAI Gateway Developer (LCP)

Name: OpenAI Gateway Developer (LCP)
Author: YusukeShimizu

byYusukeShimizu

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Desarrollo de API

Develops and maintains secure, OpenAI-compatible HTTP gateways within the Lightning Compute Protocol ecosystem.

Acerca de

The lcp-openai-serve skill provides specialized guidance for building and maintaining the OpenAI-compatible gateway in the Lightning Compute Protocol (LCP) repository. It focuses on maintaining strict architectural standards, ensuring privacy by preventing the logging of sensitive prompt data, and enforcing robust API contracts. This skill is essential for developers working in Go who need to implement high-integrity compute gateways that integrate with the Lightning Network while adhering to Test-Driven Development (TDD) and clean code principles.

Características Principales

Go-specific development workflows including linting and cmp.Diff testing.
Integration guidance for utilizing native lnd libraries and Lightning APIs.
Strict JSON validation to ensure stable and predictable API behavior.
2 GitHub stars
Privacy-first logging that automatically excludes raw prompts and model outputs.
Automated validation routines for testing, linting, and formatting within the apps/openai-serve module.

Casos de Uso

Developing Lightning Network-powered compute job gateways.
Building privacy-focused API proxies for AI model inference.
Standardizing OpenAI-compatible endpoints for decentralized compute protocols.

Acerca de

Características Principales

Go-specific development workflows including linting and cmp.Diff testing.
Integration guidance for utilizing native lnd libraries and Lightning APIs.
Strict JSON validation to ensure stable and predictable API behavior.
2 GitHub stars
Privacy-first logging that automatically excludes raw prompts and model outputs.
Automated validation routines for testing, linting, and formatting within the apps/openai-serve module.

Casos de Uso

Developing Lightning Network-powered compute job gateways.
Building privacy-focused API proxies for AI model inference.
Standardizing OpenAI-compatible endpoints for decentralized compute protocols.