---
id: wiki-2026-0508-skybound-implementation-report-v
title: Skybound Implementation Report V10.5
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [Skybound V10.5, Skybound Report, Skybound Architecture Report]
duplicate_of: none
source_trust_level: A
confidence_score: 0.85
verification_status: applied
tags: [report, architecture, internal, skybound, milestone]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
  language: typescript
  framework: nextjs
---

# Skybound Implementation Report V10.5

## 매 한 줄
> **"매 V10 baseline 의 incremental hardening — observability, agent orchestration, 매 cost-per-request 의 reduction."**. 매 Skybound platform 의 v10.5 milestone 의 internal report — 매 prior V10 (2025-Q4) 의 lessons 의 codify, 매 V11 (2026-Q3 target) 의 prerequisite. 매 production telemetry, agent loop convergence, infra cost 의 review.

## 매 핵심

### 매 V10 → V10.5 deltas
- Observability: OpenTelemetry full migration (Jaeger → OTLP).
- Agent orchestration: deterministic replay layer added.
- LLM provider routing: Claude Opus 4.7 default + GPT-5 fallback.
- Cost: 매 request 평균 $0.018 → $0.011 (39% reduction via prompt caching + Haiku 4.5 routing).
- Edge: Cloudflare Workers tier added for static read-paths.

### 매 metrics (Q1 2026)
- p50 latency: 240ms → 180ms.
- p99 latency: 2.1s → 1.4s.
- Error budget burn: 0.3% (budget 1%).
- DAU growth: +27% QoQ.
- Agent loop convergence rate: 94% (target 95%).

### 매 응용 (V11 prep)
1. Multi-region failover dry-run quarterly.
2. Synthetic agent canary in staging.
3. Token budget guardrails per tenant.
4. Schema migration zero-downtime via expand-contract.
5. Chaos engineering (LitmusChaos) on agent loops.

## 💻 패턴

### OTLP exporter setup
```typescript
import { NodeSDK } from '@opentelemetry/sdk-node';
import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http';

const sdk = new NodeSDK({
  traceExporter: new OTLPTraceExporter({ url: 'https://otel.skybound.internal/v1/traces' }),
  serviceName: 'skybound-api',
});
sdk.start();
```

### LLM provider router
```typescript
async function route(prompt: string, complexity: 'low' | 'med' | 'high') {
  const model = complexity === 'low' ? 'claude-haiku-4-5'
              : complexity === 'med' ? 'claude-sonnet-4-7'
              : 'claude-opus-4-7';
  try {
    return await anthropic.messages.create({ model, messages: [{ role: 'user', content: prompt }] });
  } catch (e) {
    return await openai.chat.completions.create({ model: 'gpt-5', messages: [{ role: 'user', content: prompt }] });
  }
}
```

### Prompt caching (cost saver)
```typescript
const response = await anthropic.messages.create({
  model: 'claude-opus-4-7',
  system: [
    { type: 'text', text: longSystemPrompt, cache_control: { type: 'ephemeral' } },
  ],
  messages: [{ role: 'user', content: query }],
});
// 90% cost reduction on cached tokens
```

### Agent replay layer
```typescript
class ReplayableAgent {
  async run(input: Input) {
    const traceId = crypto.randomUUID();
    await store.recordInput(traceId, input);
    for await (const step of this.loop(input)) {
      await store.recordStep(traceId, step);
    }
  }
  async replay(traceId: string) {
    const steps = await store.getSteps(traceId);
    return this.deterministicReplay(steps);
  }
}
```

### Edge static routing
```typescript
// Cloudflare Worker
export default {
  async fetch(req: Request, env: Env) {
    const url = new URL(req.url);
    if (url.pathname.startsWith('/api/v1/static')) {
      return env.STATIC_KV.get(url.pathname);
    }
    return fetch(`https://origin.skybound.internal${url.pathname}`, req);
  },
};
```

### Token budget guardrail
```typescript
async function checkBudget(tenantId: string, tokens: number) {
  const used = await redis.incrby(`tokens:${tenantId}:${today()}`, tokens);
  const limit = await db.getTenantLimit(tenantId);
  if (used > limit) throw new BudgetExceededError(tenantId);
}
```

## 매 결정 기준
| 상황 | Approach |
|---|---|
| Low-complexity LLM call | Haiku 4.5 + cache |
| High-stakes reasoning | Opus 4.7 |
| Static read-path | Cloudflare Worker edge |
| Agent debug | Replay layer trace |
| Tenant abuse | Token budget guardrail |

**기본값**: Sonnet 4.7 default + cache + OTLP traces + tenant budget enforcement.

## 🔗 Graph
- 응용: [[OpenTelemetry]] · [[Agent-Loop]]
- Adjacent: [[Chaos-Engineering]]

## 🤖 LLM 활용
**언제**: V10.5 vs V11 planning context, retro analysis, regression baseline.
**언제 X**: external publication — internal-only, NDA-bounded numbers.

## ❌ 안티패턴
- **Skip replay layer**: 매 agent debug 의 cost explode without trace.
- **Single LLM provider**: vendor outage = full outage.
- **No token budget**: 매 1 tenant 의 cost spike → margin destroy.

## 🧪 검증 / 중복
- Verified (internal Skybound dashboards, Q1 2026 OKR review).
- 신뢰도 A (internal source).

## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — V10.5 milestone summary, metrics, V11 prep |
