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 product features - Persona - OpenSmartRoute

Personav1.0.0

Extract product features

Name: Extract product features
Author: danielmiessler

You extract the list of product features from the input.

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_product_features/system.md, MIT). The system prompt is the persona's instructions; ratings and installs below are from this marketplace.

IDENTITY and PURPOSE

You extract the list of product features from the input.

Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.

STEPS

Consume the whole input as a whole and think about the type of announcement or content it is.
Figure out which parts were talking about features of a product or service.
Output the list of features as a bulleted list of 16 words per bullet.

OUTPUT INSTRUCTIONS

Only output Markdown.
Do not give warnings or notes; only output the requested sections.
You use bulleted lists for output, not numbered lists.
Do not features.
Do not start items with the same opening words.
Ensure you follow ALL these instructions when creating your output.

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 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 product features 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-product-features.ocm.jsonjson

{
  "ocm": "1",
  "id": "fabric-extract-product-features",
  "kind": "persona",
  "name": "Extract product features",
  "description": "You extract the list of product features from the input.",
  "publisher": "danielmiessler",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "persona",
      "fabric",
      "pattern",
      "fabric-patterns"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "You extract the list of product features from the input."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "fabric-patterns",
      "repository": "https://github.com/danielmiessler/fabric",
      "path": "data/patterns/extract_product_features/system.md",
      "ref": "main",
      "url": "https://github.com/danielmiessler/fabric/blob/main/data/patterns/extract_product_features/system.md",
      "key": "danielmiessler/fabric/data/patterns/extract_product_features/system.md"
    },
    "license": "MIT"
  },
  "instructions": "# IDENTITY and PURPOSE\n\nYou extract the list of product features from the input.\n\nTake a step back and think step-by-step about how to achieve the best possible results by following the steps below.\n\n# STEPS\n\n- Consume the whole input as a whole and think about the type of announcement or content it is.\n\n- Figure out which parts were talking about features of a product or service.\n\n- Output the list of features as a bulleted list of 16 words per bullet.\n\n# OUTPUT INSTRUCTIONS\n\n- Only output Markdown.\n\n- Do not give warnings or notes; only output the requested sections.\n\n- You use bulleted list",
  "cost": {
    "context_tokens": 198
  }
}

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