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This guide focuses on custom model serving for production systems, with practical trade-offs for reliability, security, and cost.
Clients should not care whether a completion came from Claude, Titan, or your LoRA student. A router owns model ids, shadow traffic, and rollback. Day 47 defines the stable /v1/complete contract.
⚡ TL;DR: One API keyed by task. Map tasks → primary/shadow models in config. Shadow candidates; promote on eval + online metrics. Rollback via flag in minutes.
python
ROUTES = {
"chat_general": {"primary": "claude", "shadow": None},
"sdk_autocomplete": {"primary": "student_sdk_v3", "shadow": "claude"},
"oncall_rag": {"primary": "claude", "shadow": None},
}
def complete(task: str, payload: dict):
r = ROUTES[task]
primary = invoke(r["primary"], payload)
if r.get("shadow"):
async_invoke(r["shadow"], payload)
return primary
typescript
Keep JSON schemas stable; hide model quirks in adapters. Version the HTTP API separately from model versions. Keep warm capacity for fallbacks (Day 37).
// ❌ Clients hardcode model IDs
custom model serving: production guidance
- [ ] Task→model map in config
- [ ] Shadow traffic for candidates
- [ ] Unified errors/timeouts
- [ ] Per-route dashboards
- [ ] Rollback < 5 minutes
- [ ] Clients never see raw model ids
Series navigation
← Day 46 · Day 48 → Last updated September 11, 2026 Related: Lambda Extensions API: Build Custom Monitoring Without Touching Application Code; Multi-Model Routing: Cheap Draft Models Plus Expensive Verifiers; Lambda Telemetry API Extensions: Custom Samplers Under Five Milliseconds.Watch: 100 Days of AI on YouTube
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