feat: editable guardrails, refs NOISSUE
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21
README.md
21
README.md
@@ -48,6 +48,7 @@ OLLAMA_URL=http://localhost:11434
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OLLAMA_MODEL=llama3
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# Gitea
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# Host-only values such as git.disi.dev are normalized to https://git.disi.dev.
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GITEA_URL=https://gitea.yourserver.com
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GITEA_TOKEN=your_gitea_api_token
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GITEA_OWNER=ai-software-factory
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@@ -69,6 +70,19 @@ N8N_WEBHOOK_URL=http://n8n.yourserver.com/webhook/telegram
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# Telegram
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TELEGRAM_BOT_TOKEN=your_telegram_bot_token
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TELEGRAM_CHAT_ID=your_chat_id
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# Optional: queue Telegram prompts until Home Assistant reports battery/surplus targets are met.
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PROMPT_QUEUE_ENABLED=false
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PROMPT_QUEUE_AUTO_PROCESS=true
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PROMPT_QUEUE_FORCE_PROCESS=false
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PROMPT_QUEUE_POLL_INTERVAL_SECONDS=60
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PROMPT_QUEUE_MAX_BATCH_SIZE=1
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HOME_ASSISTANT_URL=http://homeassistant.local:8123
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HOME_ASSISTANT_TOKEN=your_home_assistant_long_lived_token
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HOME_ASSISTANT_BATTERY_ENTITY_ID=sensor.home_battery_soc
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HOME_ASSISTANT_SURPLUS_ENTITY_ID=sensor.home_pv_surplus_power
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HOME_ASSISTANT_BATTERY_FULL_THRESHOLD=95
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HOME_ASSISTANT_SURPLUS_THRESHOLD_WATTS=100
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```
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### Build and Run
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@@ -93,6 +107,7 @@ docker-compose up -d
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The backend now interprets free-form Telegram text with Ollama before generation.
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If `TELEGRAM_CHAT_ID` is set, the Telegram-trigger workflow only reacts to messages from that specific chat.
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If `PROMPT_QUEUE_ENABLED=true`, Telegram prompts are stored in a durable queue and processed only when the Home Assistant battery and surplus thresholds are satisfied, unless you force processing via `/queue/process` or send `process_now=true`.
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2. **Monitor progress via Web UI:**
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@@ -104,6 +119,12 @@ docker-compose up -d
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If you deploy the container with PostgreSQL environment variables set, the service now selects PostgreSQL automatically even though SQLite remains the default for local/test usage.
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The health tab now shows separate application, n8n, Gitea, and Home Assistant/queue diagnostics so misconfigured integrations are visible without checking container logs.
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The dashboard Health tab also exposes operator controls for the prompt queue, including manual batch processing, forced processing, and retrying failed items.
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Guardrail and system prompts are no longer environment-only in practice: the factory can persist DB-backed overrides for the editable LLM prompt set, expose them at `/llm/prompts`, and edit them from the dashboard System tab. Environment values still act as defaults and as the reset target.
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## API Endpoints
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| Endpoint | Method | Description |
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