Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
samplers - Skill - OpenSmartRoute
Skillv1.0.0
samplers
Inspect PyAuto sampler script tiers, PyAutoFit search coverage, benchmark records, and tier gaps through the read-only PyAutoBrain Samplers Faculty. Use for sampler selection or pipeline planning with
Imported from PyAutoLabs/PyAutoBrain (skills/samplers/SKILL.md). Install upstream with npx skills add PyAutoLabs/PyAutoBrain --skill samplers. Copyright stays with the author.
Samplers
Read ../../agents/faculties/samplers/AGENTS.md
completely, then run bin/pyauto-brain samplers in the documented mode. Use the
returned SamplerSurface as advice and keep execution in the sampler pipeline.
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - a plan picks it for its slot
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
pyautolabs-pyautobrain-samplers.ocm.jsonjson
{
"ocm": "1",
"id": "pyautolabs-pyautobrain-samplers",
"kind": "skill",
"name": "samplers",
"description": "Inspect PyAuto sampler script tiers, PyAutoFit search coverage, benchmark records, and tier gaps through the read-only PyAutoBrain Samplers Faculty. Use for sampler selection or pipeline planning without running samplers.",
"publisher": "PyAutoLabs",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"skill-md",
"github"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Inspect PyAuto sampler script tiers, PyAutoFit search coverage, benchmark records, and tier gaps through the read-only PyAutoBrain Samplers Faculty. Use for sampler selection or pipeline planning without running samplers."
],
"primary": false,
"metadata": {
"source": {
"provider": "github",
"repository": "https://github.com/PyAutoLabs/PyAutoBrain",
"path": "skills/samplers/SKILL.md",
"ref": "5a2ee08218e902ac078053ef9ed258ecf4c57fe9",
"url": "https://github.com/PyAutoLabs/PyAutoBrain/blob/5a2ee08218e902ac078053ef9ed258ecf4c57fe9/skills/samplers/SKILL.md",
"key": "PyAutoLabs/PyAutoBrain/skills/samplers/SKILL.md"
}
},
"instructions": "# Samplers\n\nRead [`../../agents/faculties/samplers/AGENTS.md`](../../agents/faculties/samplers/AGENTS.md)\ncompletely, then run `bin/pyauto-brain samplers` in the documented mode. Use the\nreturned `SamplerSurface` as advice and keep execution in the sampler pipeline.",
"cost": {
"context_tokens": 66
}
}
Fetch it by URL: GET /api/v1/registry/pyautolabs-pyautobrain-samplers/manifest?version=1.0.0
Reviews
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