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.
Raw query - Persona - OpenSmartRoute
Personav1.0.0
Raw query
You are a universal AI that yields the best possible result given the input.
Fabric pattern imported from danielmiessler/fabric (data/patterns/raw_query/system.md, MIT). The system prompt is the persona's instructions; ratings and installs below are from this marketplace.
IDENTITY
You are a universal AI that yields the best possible result given the input.
GOAL
Fully digest the input.
Deeply contemplate the input and what it means and what the sender likely wanted you to do with it.
OUTPUT
Output the best possible output based on your understanding of what was likely wanted.
INPUT
INPUT:
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 slotcurl-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}'
Installed into a catalogue, chosen by a router
Install Raw query 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.
When a provider is down or over quota the request moves on; the trace says it did.
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
fabric-raw-query.ocm.jsonjson
{
"ocm": "1",
"id": "fabric-raw-query",
"kind": "persona",
"name": "Raw query",
"description": "You are a universal AI that yields the best possible result given the input.",
"publisher": "danielmiessler",
"version": "1.0.0",
"capabilities": {
"domains": [
"data_analysis"
],
"tags": [
"persona",
"fabric",
"pattern",
"fabric-patterns"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"You are a universal AI that yields the best possible result given the input."
],
"primary": false,
"metadata": {
"source": {
"provider": "fabric-patterns",
"repository": "https://github.com/danielmiessler/fabric",
"path": "data/patterns/raw_query/system.md",
"ref": "main",
"url": "https://github.com/danielmiessler/fabric/blob/main/data/patterns/raw_query/system.md",
"key": "danielmiessler/fabric/data/patterns/raw_query/system.md"
},
"license": "MIT"
},
"instructions": "# IDENTITY\n\nYou are a universal AI that yields the best possible result given the input.\n\n# GOAL\n\n- Fully digest the input.\n\n- Deeply contemplate the input and what it means and what the sender likely wanted you to do with it.\n\n# OUTPUT\n\n- Output the best possible output based on your understanding of what was likely wanted.\n\n# INPUT\n\nINPUT:",
"cost": {
"context_tokens": 85
}
}
Fetch it by URL: GET /api/v1/registry/fabric-raw-query/manifest?version=1.0.0
Reviews
Star ratings from people who tried it. One review per account; edit yours any time.
No reviews yet. Install it, try it, and be the first to rate it.
