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

feedback-agent - Agent - OpenSmartRoute

Agentv1.0.0

feedback-agent

Name: feedback-agent
Author: School-of-Company

Applies code review feedback. Decomposes feedback into requirements, implements, and reports what was applied or skipped with reasons.

by School-of-Company(0) 0 installs

Free

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

See reviews

About

Claude Code subagent imported from School-of-Company/Expo-Gateway (.claude/agents/feedback-agent.md). Copyright stays with the author.

Feedback Agent

Applies review comments and feedback to the code.

Workflow

Parse feedback — decompose each comment into a concrete requirement
Prioritize — must apply / optional / disagree
Implement applicable items
Validate — npm test && npm run test:e2e && npx tsc -p tsconfig.build.json --noEmit && npm run lint
Report what was applied and what was skipped, with reasons

Rules

Do not blindly apply all feedback
If feedback is technically incorrect, explain why and mark as skipped
If feedback is ambiguous, state your interpretation before applying
If applying feedback breaks existing tests, report before proceeding

Return Format

Applied:
  - [feedback 1]: [file:line changed]

Skipped:
  - [feedback 2]: [reason]

Validation: jest N passed / test:e2e N passed / tsc clean / lint clean

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 - nothing else to configure
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}'
# or pin it on the OpenAI-compatible endpoint: {"model": "school-of-company-expo-gateway-feedback-agent-subagent", ...}

Installed into a catalogue, chosen by a router

Install feedback-agent 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.

school-of-company-expo-gateway-feedback-agent-subagent.ocm.jsonjson

{
  "ocm": "1",
  "id": "school-of-company-expo-gateway-feedback-agent-subagent",
  "kind": "agent",
  "name": "feedback-agent",
  "description": "Applies code review feedback. Decomposes feedback into requirements, implements, and reports what was applied or skipped with reasons.",
  "publisher": "School-of-Company",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "agent-md",
      "github-claude-agents"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Applies code review feedback. Decomposes feedback into requirements, implements, and reports what was applied or skipped with reasons."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github-claude-agents",
      "repository": "https://github.com/School-of-Company/Expo-Gateway",
      "path": ".claude/agents/feedback-agent.md",
      "ref": "c3688784fbcf997de0be2d1a03f2524161dbaaae",
      "url": "https://github.com/School-of-Company/Expo-Gateway/blob/c3688784fbcf997de0be2d1a03f2524161dbaaae/.claude/agents/feedback-agent.md",
      "key": "School-of-Company/Expo-Gateway/.claude/agents/feedback-agent.md"
    },
    "tools": [
      "Read",
      "Edit",
      "MultiEdit",
      "Glob",
      "Grep",
      "Bash"
    ]
  },
  "instructions": "# Feedback Agent\n\nApplies review comments and feedback to the code.\n\n## Workflow\n\n1. Parse feedback — decompose each comment into a concrete requirement\n2. Prioritize — must apply / optional / disagree\n3. Implement applicable items\n4. Validate — `npm test && npm run test:e2e && npx tsc -p tsconfig.build.json --noEmit && npm run lint`\n5. Report what was applied and what was skipped, with reasons\n\n## Rules\n\n- Do not blindly apply all feedback\n- If feedback is technically incorrect, explain why and mark as skipped\n- If feedback is ambiguous, state your interpretation before applying\n- If applying",
  "cost": {
    "context_tokens": 210
  }
}

Fetch it by URL: GET /api/v1/registry/school-of-company-expo-gateway-feedback-agent-subagent/manifest?version=1.0.0