| name | smart-spawn-api |
| description | Pick the best AI model for any task using the Smart Spawn API. No plugin needed — just HTTP requests to ss.deeflect.com/api. |
Smart Spawn API
Pick the best AI model for any task. Call the API, get a model recommendation, spawn with it.
No plugin required. Works with any OpenClaw instance or any HTTP client.
Quick Start
1. GET ss.deeflect.com/api/pick?task=<description>&budget=<tier>
2. Use the returned model ID in sessions_spawn
Pick Best Model
GET https://ss.deeflect.com/api/pick?task=build+a+react+dashboard&budget=medium
Response:
{
"data": {
"id": "anthropic/claude-opus-4.6",
"name": "Claude Opus 4.6",
"score": 86,
"pricing": { "prompt": 5, "completion": 25 },
"reason": "Best general model at medium budget ($0-5/M) — score: 86"
}
}
Then spawn:
sessions_spawn(task="Build a React dashboard with auth", model="anthropic/claude-opus-4.6")
Parameters
| Param | Required | Description |
|---|
task | Yes | Task description or category: coding, reasoning, creative, vision, research, fast-cheap, general |
budget | No | low ($0-1/M), medium ($0-5/M, default), high ($2-20/M), any |
exclude | No | Comma-separated model IDs to skip |
context | No | Tags like vision,long-context for routing boost |
Get Multiple Recommendations
GET https://ss.deeflect.com/api/recommend?task=coding&budget=low&count=3
Returns diverse models from different providers. Use for collective/parallel spawning.
Compare Models
GET https://ss.deeflect.com/api/compare?models=anthropic/claude-opus-4.6,openai/gpt-5.2
Side-by-side scores, pricing, capabilities.
Browse All Models
GET https://ss.deeflect.com/api/models?category=coding&sort=score&limit=10
Sort by score, cost, efficiency, or any category name.
Decompose Complex Tasks
POST https://ss.deeflect.com/api/decompose
{"task": "Build and deploy a SaaS app", "budget": "medium"}
Returns sequential steps with optimal model per step.
Swarm (Parallel DAG)
POST https://ss.deeflect.com/api/swarm
{"task": "Research competitors and build pitch deck", "budget": "low"}
Returns a dependency graph of parallel tasks with models assigned.
Usage Pattern
For any task that needs a sub-agent:
- Decide budget —
low for cheap/fast, medium for quality, high for best available
- Call /api/pick with the task description
- Use the returned
id as the model parameter in sessions_spawn
- If task is complex — use
/api/decompose or /api/swarm to break it into subtasks, spawn each with its recommended model
Error Handling
- API down → skip model selection, use
sessions_spawn without a model (falls back to default)
- No model found (404) → widen budget to
any and retry
- Rate limited (429) → wait and retry, or fall back to default
API Status
GET https://ss.deeflect.com/api/status
Shows model count, data freshness, source health. Data refreshes every 6 hours from 5 benchmark sources.
