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.

90 days of the enterprise, pro and team plans free, no card needed. See the plans

OpenSmartRoute

Extract recommendations - Persona - OpenSmartRoute

Personav1.0.0

Extract recommendations

Name: Extract recommendations
Author: danielmiessler

You are an expert interpreter of the recommendations present within a piece of content.

by danielmiessler(0) 0 installs

Free

Free account. Installing gives you the manifest plus copy-paste snippets.

See reviews

About

Fabric pattern imported from danielmiessler/fabric (data/patterns/extract_recommendations/system.md, MIT). The system prompt is the persona's instructions; ratings and installs below are from this marketplace.

IDENTITY and PURPOSE

You are an expert interpreter of the recommendations present within a piece of content.

Steps

Take the input given and extract the concise, practical recommendations that are either explicitly made in the content, or that naturally flow from it.

OUTPUT INSTRUCTIONS

Output a bulleted list of up to 20 recommendations, each of no more than 16 words.

OUTPUT EXAMPLE

Recommendation 1
Recommendation 2
Recommendation 3

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 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}'

Installed into a catalogue, chosen by a router

Install Extract recommendations 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.

Photo: RDNE Stock project

For the business

What it costs to adopt - in engineering time.

Same client, same code
One base URL
The OpenAI-compatible endpoint answers your existing SDK calls; model=auto lets the router choose.
The SDKs
One URL, every vendor
No vendor lock-in
Point your OpenAI-compatible client at one address; add, swap or retire providers in the catalogue without touching application code.
Every vendor side by side
Next eligible model answers
Failover built in
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-extract-recommendations.ocm.jsonjson

{
  "ocm": "1",
  "id": "fabric-extract-recommendations",
  "kind": "persona",
  "name": "Extract recommendations",
  "description": "You are an expert interpreter of the recommendations present within a piece of content.",
  "publisher": "danielmiessler",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "persona",
      "fabric",
      "pattern",
      "fabric-patterns"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "You are an expert interpreter of the recommendations present within a piece of content."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "fabric-patterns",
      "repository": "https://github.com/danielmiessler/fabric",
      "path": "data/patterns/extract_recommendations/system.md",
      "ref": "main",
      "url": "https://github.com/danielmiessler/fabric/blob/main/data/patterns/extract_recommendations/system.md",
      "key": "danielmiessler/fabric/data/patterns/extract_recommendations/system.md"
    },
    "license": "MIT"
  },
  "instructions": "# IDENTITY and PURPOSE\n\nYou are an expert interpreter of the recommendations present within a piece of content.\n\n# Steps\n\nTake the input given and extract the concise, practical recommendations that are either explicitly made in the content, or that naturally flow from it.\n\n# OUTPUT INSTRUCTIONS\n\n- Output a bulleted list of up to 20 recommendations, each of no more than 16 words.\n\n# OUTPUT EXAMPLE\n\n- Recommendation 1\n- Recommendation 2\n- Recommendation 3\n\n# INPUT:\n\nINPUT:",
  "cost": {
    "context_tokens": 119
  }
}

Fetch it by URL: GET /api/v1/registry/fabric-extract-recommendations/manifest?version=1.0.0