⚡ Bolt: Batch tag insertions in D1 to eliminate N+1 latency

[schmug]

💡 What: Replaced sequential db.prepare().run() calls inside for...of loops with a single concurrent db.batch() execution for tags and event_tags insertions in hub/src/routes/events.ts and hub/src/agent/triage.ts.
🎯 Why: Iterating over multiple tags and firing individual D1 mutations causes an N+1 query problem, injecting substantial round-trip network latency per tag and blocking the request/consumer thread.
📊 Impact: Expected to reduce tag ingestion latency from O(N) database round-trips to O(1) for both the synchronous REST API path and the asynchronous LLM consumer path.
🔬 Measurement: Verify using trace analytics or the dashboard "events pulled in last 24h" latency when importing payloads with large arrays of MISP taxonomy tags.

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PR created automatically by Jules for task 13689963474459812018 started by @schmug

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[schmug]

Duplicate: same D1 tag-insert batching as #614, re-filed daily. Consolidating on #614, which makes the same change without ~200 lines of unrelated Prettier churn. The extra hub/src/agent/triage.ts batching here is worth a separate focused PR if you want it.

[google-labs-jules]

Duplicate: same D1 tag-insert batching as #614, re-filed daily. Consolidating on #614, which makes the same change without ~200 lines of unrelated Prettier churn. The extra hub/src/agent/triage.ts batching here is worth a separate focused PR if you want it.

Acknowledged. I'll stop working on this PR, since #614 already addresses this optimization without the extra formatting changes.