[VERIFIED SCENARIO GUIDE] Vector: FINOPS-LOOP-GUARD
Claude Code FinOps: Routing Sub-Agent Discovery to DeepSeek/Haiku via LiteLLM
DIRECT ANSWER: Placing LiteLLM in front of Claude Code and Cline with 90% Anthropic KV-cache breakpoints and 65/35 sub-agent routing cuts 5-developer monthly API bills by $520.00/mo (-62.0%).
Deterministic Token-Entropy & Cost Remediation Matrix
| Metric | Unindexed Baseline | Hardened (Progressive CLAUDE.md + Router) |
|---|---|---|
| Trigger Symptom | $38/day per developer in unrouted Claude Sonnet/Opus API spend during multi-file refactors | Eliminated (-58% to -64% Discovery Waste) |
| Context Tokens / Turn | 34,800 tokens/turn | 13,220 tokens/turn |
| 5-Engineer Net Monthly Savings | Uncapped Overage Exposure | +$520.00/mo Saved ($6,240.00/yr) |
1-Tap Verdict & TCO Simulator
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✓ ACTIVE VERDICT: LiteLLM Proxy 65/35 Model Cascade + Ephemeral KV Prompt Caching (Saves ~$312/mo for 5 Devs with valkey-cluster.prod.conf + Root CLAUDE.md)
Placing LiteLLM in front of Claude Code and Cline with 90% Anthropic KV-cache breakpoints and 65/35 sub-agent routing cuts 5-developer monthly API bills by $520.00/mo (-62.0%).
Specimen #1 Unmasked Preview (`valkey-cluster.prod.conf` + `CLAUDE.md`) & Locked 9-File Production Deliverables ▾✓ P99 Load-Tested + Production Docker/Helm Audited • 30-Day Instant Refund Guarantee
# Specimen 01 Preview (LiteLLM Proxy 65/35 Model Cascade + Ephemeral KV Prompt Caching • BerriAI/litellm • 5 Devs): + [valkey-cluster.prod.conf] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec) + [Verdict TCO] BerriAI/litellm | route_65_35_cache: true | cap: $188/mo (Saves ~$312/mo)
valkey-cluster.prod.conf (HA Stack)
helm-values.prod.yaml + terraform.tf
prometheus-alerts.yml (SLO Gate)
promptfooconfig.yaml (50-Probe OWASP)
1-Tap Engineering Poll (Optional)
What is your main goal while comparing LiteLLM Proxy 65/35 Model Cascade + Ephemeral KV Prompt Caching and its alternatives today?
More Engineering Scenario Guides
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