chore(step1): remove duplicate Cost_Management_Rules.md (archived)

docs/Cost_Management_Rules.md

@@ -1,82 +0,0 @@
-# Cost Management Rules
-**OSVauco-NMTMD-GCOS | GCP Agent Master Repo**
-
-## 1. Budget Alerts
-
-```bash
-gcloud billing budgets create \
-  --billing-account="${BILLING_ACCOUNT_ID}" \
-  --display-name="Agent Platform Budget" \
-  --budget-amount=500USD \
-  --threshold-rule=percent=0.5,basis=CURRENT_SPEND \
-  --threshold-rule=percent=0.8,basis=CURRENT_SPEND \
-  --threshold-rule=percent=1.0,basis=CURRENT_SPEND
-```
-
-## 2. Resource Labeling
-
-All GCP resources MUST carry:
-
-| Label Key | Example | Purpose |
-|-----------|---------|--------|
-| env | prod/dev/staging | Environment |
-| team | osvaucoe | Cost attribution |
-| cost-center | ai-platform | Finance |
-| agent | orchestrator/rag | Per-agent tracking |
-
-## 3. Cloud Run Cost Controls
-
-```bash
-gcloud run deploy ${SERVICE} \
-  --max-instances=10 \
-  --concurrency=80 \
-  --timeout=300
-```
-
-- CPU throttling on for non-latency-critical agents
-- min-instances=1 only for latency-sensitive services
-
-## 4. Vertex AI Cost Controls
-
-- Use gemini-2.0-flash for high-volume sub-agent calls
-- Context caching for repeated prompts (up to 75% savings)
-- max_output_tokens=2048 for most tasks
-- Monitor: aiplatform.googleapis.com/prediction/online/token_count
-
-## 5. RAG Engine Cost Controls
-
-- Delete stale documents from corpus
-- Batch embedding for initial ingestion
-- top_k=5 (not higher)
-- Archive cold corpora to Cloud Storage lower tier
-
-## 6. Memory Bank Cost Controls
-
-- TTL: 7 days for short-lived session memories
-- Firestore-backed for most use cases
-- Index only user_id and session_id
-
-## 7. Networking Cost Controls
-
-- Private Google Access to avoid Vertex AI egress charges
-- VPC routing for all agent traffic
-- Cloud NAT only where unavoidable
-
-## 8. Storage Lifecycle
-
-```json
-{
-  "rule": [{
-    "action": { "type": "Delete" },
-    "condition": { "age": 7 }
-  }]
-}
-```
-Apply with: `gcloud storage buckets update gs://BUCKET --lifecycle-file=lifecycle.json`
-
-## 9. End-of-Day Teardown Checklist
-
-- [ ] Run 03-teardown.sh
-- [ ] Verify no active Agent Runtimes: `gcloud ai agent-engines list --region=us-central1`
-- [ ] Verify no active Vertex AI endpoints: `gcloud ai endpoints list --region=us-central1`
-- [ ] Check billing dashboard for anomalies