Graham McIntire
03f364a956
Adds an optional plain-language summary and recommended action to every active insight. A new Oban cron worker runs every 5 minutes, picks up unenriched insights, and asks the configured LLM to restate the finding and suggest one specific action grounded in the structured metadata. - Migration: adds llm_summary, recommended_action, llm_model, llm_enriched_at columns to preseem_insights - Towerops.LLM context with swappable behaviour; real client uses Req with the standard Req.Test plug for test isolation - MockClient + InsightPrompt module (builds chat messages, parses JSON with code-fence stripping and a raw-text fallback) - Worker logs and skips on rate limits / missing key / parse errors so insights still render without an AI summary when the LLM is unavailable - Optional towerops-llm k8s secret with example template; deployment.yaml references it as optional in both init and main containers - UI renders summary + recommended action callout on /insights and on the org-level insights page
27 lines
997 B
YAML
27 lines
997 B
YAML
# Template for the towerops-llm secret. Apply with values filled in:
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#
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# kubectl create secret generic towerops-llm \
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# --from-literal=DEEPSEEK_API_KEY="<your-deepseek-key>" \
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# --from-literal=DEEPSEEK_MODEL="deepseek-v4-pro" \
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# -n towerops
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#
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# Or apply this file directly after replacing the placeholder strings with
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# your real values, then run: kubectl apply -f k8s/towerops-llm-secret.example.yaml
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#
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# This file is committed as a placeholder — DO NOT put real keys in here.
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# Real values live in 1Password and are created in the cluster manually.
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#
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# The deployment references this secret with `optional: true`, so the app
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# will start fine without it (LLM enrichment just stays no-op).
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---
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apiVersion: v1
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kind: Secret
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metadata:
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name: towerops-llm
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namespace: towerops
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type: Opaque
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stringData:
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# DeepSeek API key — get one at https://platform.deepseek.com/
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DEEPSEEK_API_KEY: ""
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# Optional: override the default model (default: deepseek-v4-pro)
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DEEPSEEK_MODEL: ""
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