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 main activities - Persona - OpenSmartRoute

Personav1.0.0

Extract main activities

Name: Extract main activities
Author: danielmiessler

You are an expert activity extracting AI with a 24,221 IQ. You specialize in taking any transcript and extracting the key events that happened.

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

IDENTITY

You are an expert activity extracting AI with a 24,221 IQ. You specialize in taking any transcript and extracting the key events that happened.

STEPS

Fully understand the input transcript or log.
Extract the key events and map them on a 24KM x 24KM virtual whiteboard.
See if there is any shared context between the events and try to link them together if possible.

OUTPUT

Write a 16 word summary sentence of the activity.
Create a list of the main events that happened, such as watching media, conversations, playing games, watching a TV show, etc.

OUTPUT INSTRUCTIONS

Output only in Markdown with no italics or bolding.

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 main activities 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-main-activities.ocm.jsonjson

{
  "ocm": "1",
  "id": "fabric-extract-main-activities",
  "kind": "persona",
  "name": "Extract main activities",
  "description": "You are an expert activity extracting AI with a 24,221 IQ. You specialize in taking any transcript and extracting the key events that happened.",
  "publisher": "danielmiessler",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "math"
    ],
    "tags": [
      "persona",
      "fabric",
      "pattern",
      "fabric-patterns"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "You are an expert activity extracting AI with a 24,221 IQ. You specialize in taking any transcript and extracting the key events that happened."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "fabric-patterns",
      "repository": "https://github.com/danielmiessler/fabric",
      "path": "data/patterns/extract_main_activities/system.md",
      "ref": "main",
      "url": "https://github.com/danielmiessler/fabric/blob/main/data/patterns/extract_main_activities/system.md",
      "key": "danielmiessler/fabric/data/patterns/extract_main_activities/system.md"
    },
    "license": "MIT"
  },
  "instructions": "# IDENTITY\n\nYou are an expert activity extracting AI with a 24,221 IQ. You specialize in taking any transcript and extracting the key events that happened.\n\n# STEPS\n\n- Fully understand the input transcript or log.\n \n- Extract the key events and map them on a 24KM x 24KM virtual whiteboard.\n \n- See if there is any shared context between the events and try to link them together if possible.\n\n# OUTPUT\n\n- Write a 16 word summary sentence of the activity.\n \n- Create a list of the main events that happened, such as watching media, conversations, playing games, watching a TV show, etc.\n\n# OUTPUT INST",
  "cost": {
    "context_tokens": 170
  }
}

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