Answers from the documentation; checking which model is on duty
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.
End-to-end SAS DS - Agent - OpenSmartRoute
Agentv1.0.0
End-to-end SAS DS
Run one Gearheart 2020 SAS data-science lane. Use for listings_clean, PSI, GainLift, ICE, LIBNAME rewrite, or one model family. Do not open VoP or FSD files.
Custom agent imported from Py14aK/agent-workflow-kitunder (.github/agents/end-to-end-sas-ds.agent.md). Copyright stays with the author.
End-to-end SAS DS
Load .agents/skills/end-to-end-sas-ds/SKILL.md and references/chapter-map.md first.
One modeling problem. One chapter family.
G0 QUESTION --> G1 DATA --> G2 FIT --> G3 EVAL --> STOP
listings_clean stays listings_clean. Rewrite LIBNAME with .agents/skills/end-to-end-sas-ds/scripts/rewrite_libname.py when a target path is supplied. If SAS is not on the host, emit the rewritten program and mark EXECUTION not_performed. Do not claim a SAS run without a log in this turn. Do not fit two model families in one turn.
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 - nothing else to configurecurl-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}'# or pin it on the OpenAI-compatible endpoint: {"model": "py14ak-agent-workflow-kitunder-end-to-end-sas-ds-agent", ...}
Installed into a catalogue, chosen by a router
Install End-to-end SAS DS 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": "py14ak-agent-workflow-kitunder-end-to-end-sas-ds-agent",
"kind": "agent",
"name": "End-to-end SAS DS",
"description": "Run one Gearheart 2020 SAS data-science lane. Use for listings_clean, PSI, GainLift, ICE, LIBNAME rewrite, or one model family. Do not open VoP or FSD files.",
"publisher": "Py14aK",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"agent-md",
"github-custom-agents"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Run one Gearheart 2020 SAS data-science lane. Use for listings_clean, PSI, GainLift, ICE, LIBNAME rewrite, or one model family. Do not open VoP or FSD files."
],
"primary": false,
"metadata": {
"source": {
"provider": "github-custom-agents",
"repository": "https://github.com/Py14aK/agent-workflow-kitunder",
"path": ".github/agents/end-to-end-sas-ds.agent.md",
"ref": "9ead43df07fdd9d7a59e87a189b251663efe3ca4",
"url": "https://github.com/Py14aK/agent-workflow-kitunder/blob/9ead43df07fdd9d7a59e87a189b251663efe3ca4/.github/agents/end-to-end-sas-ds.agent.md",
"key": "Py14aK/agent-workflow-kitunder/.github/agents/end-to-end-sas-ds.agent.md"
},
"tools": [
"read",
"search",
"edit",
"execute"
]
},
"instructions": "# End-to-end SAS DS\n\nLoad `.agents/skills/end-to-end-sas-ds/SKILL.md` and `references/chapter-map.md` first.\n\nOne modeling problem. One chapter family.\n\n```\nG0 QUESTION --> G1 DATA --> G2 FIT --> G3 EVAL --> STOP\n```\n\n`listings_clean` stays `listings_clean`. Rewrite LIBNAME with `.agents/skills/end-to-end-sas-ds/scripts/rewrite_libname.py` when a target path is supplied. If SAS is not on the host, emit the rewritten program and mark `EXECUTION not_performed`. Do not claim a SAS run without a log in this turn. Do not fit two model families in one turn.",
"cost": {
"context_tokens": 139
}
}
Fetch it by URL: GET /api/v1/registry/py14ak-agent-workflow-kitunder-end-to-end-sas-ds-agent/manifest?version=1.0.0
Reviews
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