How long does the integration take?

Change one base URL in an OpenAI-compatible client, or install the Python or TypeScript SDK; the quickstart routes a first request in a few minutes.

Will this lock us into another vendor?

No. The router is Apache-2.0 open source, your provider keys stay yours, and the API is OpenAI-compatible, so leaving is a change of base URL.

What happens when a provider fails?

The router falls back to the next model your policy allows and records the fallback in the trace, so an outage costs a retry, not an incident.

llama-factory - Skill - OpenSmartRoute

Name: llama-factory
Author: marnixGeerkens

Imported from marnixGeerkens/rocketlauncher-claude-code (components/skills/ai-research/fine-tuning-llama-factory/SKILL.md). Install upstream with npx skills add marnixGeerkens/rocketlauncher-claude-code --skill fine-tuning-llama-factory. Copyright stays with the author (MIT).

Llama-Factory Skill

Comprehensive assistance with llama-factory development, generated from official documentation.

When to Use This Skill

This skill should be triggered when:

Working with llama-factory
Asking about llama-factory features or APIs
Implementing llama-factory solutions
Debugging llama-factory code
Learning llama-factory best practices

Quick Reference

Common Patterns

Quick reference patterns will be added as you use the skill.

Reference Files

This skill includes comprehensive documentation in references/:

_images.md - Images documentation
advanced.md - Advanced documentation
getting_started.md - Getting Started documentation
other.md - Other documentation

Use view to read specific reference files when detailed information is needed.

Working with This Skill

For Beginners

Start with the getting_started or tutorials reference files for foundational concepts.

For Specific Features

Use the appropriate category reference file (api, guides, etc.) for detailed information.

For Code Examples

The quick reference section above contains common patterns extracted from the official docs.

Resources

references/

Organized documentation extracted from official sources. These files contain:

Detailed explanations
Code examples with language annotations
Links to original documentation
Table of contents for quick navigation

scripts/

Add helper scripts here for common automation tasks.

assets/

Add templates, boilerplate, or example projects here.

Notes

This skill was automatically generated from official documentation
Reference files preserve the structure and examples from source docs
Code examples include language detection for better syntax highlighting
Quick reference patterns are extracted from common usage examples in the docs

Updating

To refresh this skill with updated documentation:

Re-run the scraper with the same configuration
The skill will be rebuilt with the latest information

Install llama-factory and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "marnixgeerkens-rocketlauncher-claude-code-fine-tuning-ll-8548ae", "kind": "skill", "name": "llama-factory", "description": "Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support", "publisher": "marnixGeerkens", "version": "1.0.0", "capabilities": { "domains": [ "coding", "data_analysis" ], "tags": [ "skill-md", "fine-tuning", "llama-factory", "llm", "webui", "no-code", "qlora", "lora", "multimodal", "huggingface" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support" ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/marnixGeerkens/rocketlauncher-claude-code", "path": "components/skills/ai-research/fine-tuning-llama-factory/SKILL.md", "ref": "4e647b68aabe849e143b6950971c380f7adccdef", "url": "https://github.com/marnixGeerkens/rocketlauncher-claude-code/blob/4e647b68aabe849e143b6950971c380f7adccdef/components/skills/ai-research/fine-tuning-llama-factory/SKILL.md", "key": "marnixGeerkens/rocketlauncher-claude-code/components/skills/ai-research/fine-tuning-llama-factory/SKILL.md" }, "license": "MIT" }, "instructions": "# Llama-Factory Skill\n\nComprehensive assistance with llama-factory development, generated from official documentation.\n\n## When to Use This Skill\n\nThis skill should be triggered when:\n- Working with llama-factory\n- Asking about llama-factory features or APIs\n- Implementing llama-factory solutions\n- Debugging llama-factory code\n- Learning llama-factory best practices\n\n## Quick Reference\n\n### Common Patterns\n\n*Quick reference patterns will be added as you use the skill.*\n\n## Reference Files\n\nThis skill includes comprehensive documentation in `references/`:\n\n- **_images.md** - Images documentati", "cost": { "context_tokens": 512 } }

llama-factory

About

Llama-Factory Skill

When to Use This Skill

Quick Reference

Common Patterns

Reference Files

Working with This Skill

For Beginners

For Specific Features

For Code Examples

Resources

references/

scripts/

assets/

Notes

Updating

Install llama-factory and it becomes one more candidate the router can pick - when it fits.

What it costs to adopt - in engineering time.

One base URL

No vendor lock-in

Failover built in

Use it

Manifest

Reviews