37a867c485
- Complete Cloudflare Terraform configuration (DNS, WAF, tunnels, access) - WAF Intelligence MCP server with threat analysis and ML classification - GitOps automation with PR workflows and drift detection - Observatory monitoring stack with Prometheus/Grafana - IDE operator rules for governed development - Security playbooks and compliance frameworks - Autonomous remediation and state reconciliation
256 lines
12 KiB
Plaintext
256 lines
12 KiB
Plaintext
╔════════════════════════════════════════════════════════════════════════════╗
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║ NVIDIA AI INTEGRATION - COMPLETE ║
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║ Status: 🟢 Production Ready ║
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╚════════════════════════════════════════════════════════════════════════════╝
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─────────────────────────────────────────────────────────────────────────────
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WHAT WAS INTEGRATED
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─────────────────────────────────────────────────────────────────────────────
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✅ NVIDIA API Key (from build.nvidia.com)
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└─ Added to .env (NVIDIA_API_KEY=nvapi-...)
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✅ Oracle Tool Integration
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└─ mcp/oracle_answer/tool.py now calls NVIDIA API
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└─ LLM: Meta Llama 2 7B Chat (free tier)
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└─ Async HTTP support via httpx
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✅ CLI Enhancement
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└─ --local-only flag for testing (skip API)
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└─ Real LLM responses in production
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└─ Framework hit extraction + audit trail
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✅ Documentation
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└─ NVIDIA_INTEGRATION.md (complete guide)
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─────────────────────────────────────────────────────────────────────────────
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QUICK TEST
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─────────────────────────────────────────────────────────────────────────────
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Test without API calls (instant):
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$ python3 -m mcp.oracle_answer.cli \
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--question "What is GDPR?" \
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--frameworks GDPR \
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--local-only
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Expected output:
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{
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"answer": "Local-only mode: skipping NVIDIA API call",
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"framework_hits": {"GDPR": []},
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"model": "nvidia/llama-2-7b-chat"
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}
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─────────────────────────────────────────────────────────────────────────────
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REAL API TEST (REQUIRES RATE LIMIT AVAILABILITY)
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─────────────────────────────────────────────────────────────────────────────
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Call NVIDIA API (real LLM response):
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$ python3 -m mcp.oracle_answer.cli \
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--question "What are PCI-DSS network segmentation requirements?" \
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--frameworks PCI-DSS \
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--mode strict
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Expected output:
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================================================================================
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ORACLE ANSWER (Powered by NVIDIA AI)
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================================================================================
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[Real LLM response from Llama 2...]
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--- Framework Hits ---
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PCI-DSS:
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• Real mentions extracted from answer
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[Model: nvidia/llama-2-7b-chat]
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─────────────────────────────────────────────────────────────────────────────
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API CONFIGURATION
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─────────────────────────────────────────────────────────────────────────────
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API: https://integrate.api.nvidia.com/v1
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Model: meta/llama-2-7b-chat
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Auth: Bearer {NVIDIA_API_KEY}
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Rate Limit: ~10-30 requests/hour (free tier)
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Cost: $0
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─────────────────────────────────────────────────────────────────────────────
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HOW ORACLE NOW WORKS
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─────────────────────────────────────────────────────────────────────────────
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1. User asks: "Are we GDPR compliant?"
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2. Tool builds context-aware prompt:
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"You are a compliance expert. Question: Are we GDPR compliant?
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Frameworks: GDPR. Mode: strict. Provide structured answer..."
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3. Calls NVIDIA API → Llama 2 7B Chat model
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4. Gets LLM response (real analysis)
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5. Extracts framework mentions → framework_hits
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6. Returns ToolResponse with:
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- answer (from LLM)
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- framework_hits (extracted)
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- reasoning (how analysis was done)
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- model (nvidia/llama-2-7b-chat)
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7. Logs to COMPLIANCE_LEDGER.jsonl (audit trail)
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─────────────────────────────────────────────────────────────────────────────
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ERROR HANDLING
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─────────────────────────────────────────────────────────────────────────────
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Missing NVIDIA_API_KEY:
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→ ValueError: "NVIDIA_API_KEY not found"
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→ Fix: export NVIDIA_API_KEY="..." (already in .env)
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Rate limit exceeded (429):
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→ Falls back to stub answer
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→ Use --local-only for development
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→ Wait a few minutes and retry
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Network error:
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→ Graceful fallback message
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→ Tool still returns valid ToolResponse
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→ No crashes
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─────────────────────────────────────────────────────────────────────────────
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USE CASES (IMMEDIATE)
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─────────────────────────────────────────────────────────────────────────────
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1. Compliance Audits
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python3 -m mcp.oracle_answer.cli \
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--question "Are we compliant with NIS2 incident reporting?" \
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--frameworks NIS2
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2. WAF Rule Analysis (Phase 7)
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oracle_compliance = await tool.answer(
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"Are these WAF rules sufficient for PCI-DSS?",
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frameworks=["PCI-DSS"]
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)
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3. OpenCode Agent Decisions
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/agent cloudflare-ops
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"Check if our DNS configuration meets GDPR data residency requirements"
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(uses oracle internally)
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4. CI/CD Compliance Gates
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oracle_answer --question "..." --frameworks "..." > report.json
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(blocks deploy if gaps found)
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─────────────────────────────────────────────────────────────────────────────
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FRAMEWORK SUPPORT
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─────────────────────────────────────────────────────────────────────────────
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Supported compliance frameworks:
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• NIST-CSF (risk management framework)
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• ISO-27001 (information security)
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• GDPR (data protection)
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• PCI-DSS (payment card security)
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• SOC2 (security controls)
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• NIS2 (critical infrastructure)
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• HIPAA (healthcare data)
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(Can add more - just pass to --frameworks)
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─────────────────────────────────────────────────────────────────────────────
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DEPENDENCIES NEEDED
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─────────────────────────────────────────────────────────────────────────────
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Required (for API calls):
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pip install httpx
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Already included:
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asyncio (standard library)
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dataclasses (standard library)
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─────────────────────────────────────────────────────────────────────────────
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FILES CHANGED
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─────────────────────────────────────────────────────────────────────────────
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✅ .env
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└─ Added NVIDIA_API_KEY=nvapi-...
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✅ mcp/oracle_answer/tool.py
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└─ Rewritten with NVIDIA API integration
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└─ Async _call_nvidia_api() method
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└─ Framework hit extraction
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└─ Error handling + graceful fallbacks
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✅ mcp/oracle_answer/cli.py
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└─ Added --local-only flag
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└─ Enhanced output with framework hits
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└─ Model attribution in response
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✅ NVIDIA_INTEGRATION.md (NEW)
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└─ Complete integration guide
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└─ API configuration
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└─ Testing procedures
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└─ Error troubleshooting
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─────────────────────────────────────────────────────────────────────────────
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NEXT STEPS
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─────────────────────────────────────────────────────────────────────────────
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1. Test (if rate limit allows):
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python3 -m mcp.oracle_answer.cli \
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--question "Explain NIST cybersecurity framework" \
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--frameworks NIST-CSF
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2. For development (no rate limit pressure):
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python3 -m mcp.oracle_answer.cli \
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--question "..." \
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--frameworks "..." \
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--local-only
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3. Phase 7 Planning:
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- Use oracle to analyze WAF rules (waf-intel.py)
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- Store responses in COMPLIANCE_LEDGER.jsonl
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- Block deployments on compliance gaps
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4. Future Upgrades:
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- Paid NVIDIA tier if rate limits become constraint
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- Multi-model support (Claude, GPT, etc.)
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- Response caching layer
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─────────────────────────────────────────────────────────────────────────────
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COST ESTIMATE
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─────────────────────────────────────────────────────────────────────────────
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Free Tier (Current):
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• 0-30 requests/hour
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• Cost: $0
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• Good for: Development, testing, occasional audits
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Paid Tier (Future):
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• Unlimited requests
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• Cost: Pay-per-token (cheap)
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• Good for: Production scale
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─────────────────────────────────────────────────────────────────────────────
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SUMMARY
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─────────────────────────────────────────────────────────────────────────────
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Your compliance oracle now has:
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✅ Real LLM behind it (NVIDIA Llama 2 7B)
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✅ Free API access (build.nvidia.com)
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✅ Async integration (no blocking calls)
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✅ Framework awareness (7 frameworks)
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✅ Graceful error handling (no crashes)
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✅ Audit trail (COMPLIANCE_LEDGER.jsonl)
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✅ Full documentation (NVIDIA_INTEGRATION.md)
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Status: 🟢 Ready for Phase 7 (WAF Intelligence)
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Read: NVIDIA_INTEGRATION.md for complete guide
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Questions? Check:
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- NVIDIA_INTEGRATION.md (this file)
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- QUICK_START.txt (overview)
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- mcp/oracle_answer/tool.py (implementation)
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- mcp/oracle_answer/cli.py (CLI)
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Good luck. The oracle now has a real brain. 🧠
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