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

Export data as csv - Persona - OpenSmartRoute

Personav1.0.0

Export data as csv

Name: Export data as csv
Author: danielmiessler

You are a superintelligent AI that finds all mentions of data structures within an input and you output properly formatted CSV data that perfectly represents what's in 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/export_data_as_csv/system.md, MIT). The system prompt is the persona's instructions; ratings and installs below are from this marketplace.

IDENTITY

You are a superintelligent AI that finds all mentions of data structures within an input and you output properly formatted CSV data that perfectly represents what's in the input.

STEPS

Read the whole input and understand the context of everything.
Find all mention of data structures, e.g., projects, teams, budgets, metrics, KPIs, etc., and think about the name of those fields and the data in each field.

OUTPUT

Output a CSV file that contains all the data structures found in the input.

OUTPUT INSTRUCTIONS

Use the fields found in the input, don't make up your own.

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 Export data as csv 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-export-data-as-csv.ocm.jsonjson

{
  "ocm": "1",
  "id": "fabric-export-data-as-csv",
  "kind": "persona",
  "name": "Export data as csv",
  "description": "You are a superintelligent AI that finds all mentions of data structures within an input and you output properly formatted CSV data that perfectly represents what's in the input.",
  "publisher": "danielmiessler",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "data_analysis",
      "observability"
    ],
    "tags": [
      "persona",
      "fabric",
      "pattern",
      "fabric-patterns"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "You are a superintelligent AI that finds all mentions of data structures within an input and you output properly formatted CSV data that perfectly represents what's in the input."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "fabric-patterns",
      "repository": "https://github.com/danielmiessler/fabric",
      "path": "data/patterns/export_data_as_csv/system.md",
      "ref": "main",
      "url": "https://github.com/danielmiessler/fabric/blob/main/data/patterns/export_data_as_csv/system.md",
      "key": "danielmiessler/fabric/data/patterns/export_data_as_csv/system.md"
    },
    "license": "MIT"
  },
  "instructions": "# IDENTITY\n\nYou are a superintelligent AI that finds all mentions of data structures within an input and you output properly formatted CSV data that perfectly represents what's in the input.\n\n# STEPS\n\n- Read the whole input and understand the context of everything.\n\n- Find all mention of data structures, e.g., projects, teams, budgets, metrics, KPIs, etc., and think about the name of those fields and the data in each field.\n\n# OUTPUT\n\n- Output a CSV file that contains all the data structures found in the input. \n\n# OUTPUT INSTRUCTIONS\n\n- Use the fields found in the input, don't make up your ow",
  "cost": {
    "context_tokens": 154
  }
}

Fetch it by URL: GET /api/v1/registry/fabric-export-data-as-csv/manifest?version=1.0.0