skills.rest
akillness
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lmstudio-cli

Verify LM Studio endpoints and enumerate model IDs from /v1/models.

40|9|Updated Jan 4, 2026
Search Tags:#rest-api#model-discovery#lms#lmstudio#endpoint-verification#openai-compat#downstream-wiring
One-click install
npx skills add https://github.com/akillness/jeo-skills --skill lmstudio-cli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lmstudio-cli
Source: https://github.com/akillness/jeo-skills/tree/main/.agent-skills/lmstudio-cli
Command: npx skills add https://github.com/akillness/jeo-skills --skill lmstudio-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

LM Studio users need reliable verification of local or remote servers, clear model availability, and correct downstream wiring to OpenAI-compatible or native REST paths.

Core Features & Use Cases

  • Endpoint verification: confirms local CLI presence and server health.
  • Model discovery: lists exact model IDs from /v1/models for downstream wiring.
  • Downstream wiring guidance: helps point tools to the correct LM Studio base URL and model identifier, choosing the OpenAI-compatible path when appropriate.
  • Escalation guidance: advises when to use native REST/CLI for model-management tasks.

Quick Start

Verify an LM Studio endpoint and retrieve the available model IDs.

Frequently Asked Questions about lmstudio-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify my LM Studio endpoint and list available model IDs?▼

To verify an LM Studio endpoint, query the /v1/models REST API surface to confirm server health and enumerate exact model IDs for downstream wiring. This returns a machine-readable summary containing the base URL, available model identifiers, and test results.

What's the difference between using OpenAI-compatible endpoints and native REST with LM Studio?▼

OpenAI-compatible endpoints let you wire standard tools directly to your LM Studio base URL, while native REST or CLI handles model-management tasks. Use the compatible path for standard inference wiring, and escalate to native REST when managing models directly.

Do I need LM Studio installed locally to discover models via the API?▼

You do not need a local installation to discover models, but you must have LM Studio accessible either locally or remotely. The verification process checks local CLI presence or remote server health to enumerate models from the /v1/models surface.

Why does my downstream tool fail to connect to my LM Studio base URL?▼

Downstream connection failures often mean the base URL is incorrect or the server is not running. Verify LM Studio server health first, retrieve the exact base URL and model IDs from the /v1/models endpoint, then wire your tool using those precise identifiers.

Can I use LM Studio with OpenAI-compatible tools for local model inference?▼

Yes, you can wire OpenAI-compatible tools to LM Studio for local inference. The endpoint verification confirms server availability and exposes exact model IDs, allowing you to point your downstream tools to the correct local base URL for inference.

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