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

manage-team-lifecycle - Skill - OpenSmartRoute

Skillv1.0.0

manage-team-lifecycle

Name: manage-team-lifecycle
Author: ruvnet

Pauses, resumes, or completes an AI team, or marks a run complete, while keeping its evidence. Use when the user asks to pause, stop, resume, wrap up, or close a team or run.

by ruvnet(0) 0 installs

Free

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

See reviews

About

Imported from ruvnet/ruflo (plugins/ruflo-ai-team/skills/manage-team-lifecycle/SKILL.md). Install upstream with npx skills add ruvnet/ruflo --skill manage-team-lifecycle. Copyright stays with the author.

Manage Team Lifecycle

Uses the RuFlo AI Team connector (server name ruflo-ai-team): the tools team_get, team_update, run_complete and evidence_export.

Read the current state before changing it. A team status is active, paused, or complete. A run can be completed only when it has at least one task and every task is complete; if the service answers tasks_incomplete, list what is still open rather than forcing it. Explain that pausing or completing changes coordination state only, offer the evidence bundle before closing, and never describe completion as deletion. This service has no deletion, public-sharing, or external-action capability.

Next: to keep decisions for later, use the remember-team-context skill before closing.

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://osr-api.kindrock-caaab1a2.centralindia.azurecontainerapps.io/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 manage-team-lifecycle 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.

ruvnet-ruflo-manage-team-lifecycle.ocm.jsonjson

{
  "ocm": "1",
  "id": "ruvnet-ruflo-manage-team-lifecycle",
  "kind": "skill",
  "name": "manage-team-lifecycle",
  "description": "Pauses, resumes, or completes an AI team, or marks a run complete, while keeping its evidence. Use when the user asks to pause, stop, resume, wrap up, or close a team or run. Changes coordination state only and deletes nothing.",
  "publisher": "ruvnet",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "hr"
    ],
    "tags": [
      "skill-md",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Pauses, resumes, or completes an AI team, or marks a run complete, while keeping its evidence. Use when the user asks to pause, stop, resume, wrap up, or close a team or run. Changes coordination state only and deletes nothing."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/ruvnet/ruflo",
      "path": "plugins/ruflo-ai-team/skills/manage-team-lifecycle/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/ruvnet/ruflo/blob/HEAD/plugins/ruflo-ai-team/skills/manage-team-lifecycle/SKILL.md",
      "key": "ruvnet/ruflo/plugins/ruflo-ai-team/skills/manage-team-lifecycle/SKILL.md"
    },
    "allowed_tools": [
      "Read"
    ]
  },
  "instructions": "# Manage Team Lifecycle\n\nUses the RuFlo AI Team connector (server name ruflo-ai-team): the tools team_get, team_update, run_complete and evidence_export.\n\nRead the current state before changing it. A team status is active, paused, or complete. A run can be completed only when it has at least one task and every task is complete; if the service answers tasks_incomplete, list what is still open rather than forcing it. Explain that pausing or completing changes coordination state only, offer the evidence bundle before closing, and never describe completion as deletion. This service has no deletion",
  "cost": {
    "context_tokens": 184
  }
}

Fetch it by URL: GET /api/v1/registry/ruvnet-ruflo-manage-team-lifecycle/manifest?version=1.0.0

About

Manage Team Lifecycle

Use it

Install manage-team-lifecycle and it becomes one more candidate the router can pick - when it fits.

What it costs to adopt - in engineering time.

One base URL

No vendor lock-in

Failover built in

Manifest

Reviews