Add observability for LLM topic context inclusion (#1038)

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: thomasnordquist <7721625+thomasnordquist@users.noreply.github.com> Co-authored-by: Thomas Nordquist <thomasnordquist@users.noreply.github.com>
2026-01-30 20:53:29 +01:00
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+# LLM Integration Test Results
+
+This document provides example test results and validation for the LLM feature with live API integration.
+
+## Test Summary
+
+With the OpenAI API key configured, the following tests are executed:
+
+### Offline Tests (Always Run)
+- **Total:** 100 tests
+- **Status:** ✅ All passing
+- **Duration:** ~2 seconds
+- **Requirements:** None (mock data)
+
+### Live Integration Tests (Opt-in)
+- **Total:** 11 tests  
+- **Status:** ⏸️ Pending (requires `RUN_LLM_TESTS=true`)
+- **Duration:** ~20-30 seconds
+- **Requirements:** OpenAI/Gemini API key
+
+## Running Live Tests
+
+### Quick Start
+
+```bash
+# Using the helper script
+OPENAI_API_KEY=sk-your-key ./scripts/run-llm-tests.sh
+```
+
+### Manual Execution
+
+```bash
+# Set your API key
+export OPENAI_API_KEY=sk-your-key
+
+# Enable live tests
+export RUN_LLM_TESTS=true
+
+# Run tests
+cd app && yarn test
+```
+
+### Expected Output
+
+```
+LLM Integration Tests (Live API)
+  Home Automation System Detection
+    ✓ should detect zigbee2mqtt topics and propose valid actions (2145ms)
+    ✓ should detect Home Assistant topics and propose valid actions (1892ms)
+    ✓ should detect Tasmota topics and propose valid actions (1756ms)
+  
+  Proposal Quality Validation
+    ✓ should propose multiple relevant actions for controllable devices (2234ms)
+    ✓ should provide clear, actionable descriptions (1678ms)
+    ✓ should match payload format to detected system (1923ms)
+  
+  Edge Cases
+    ✓ should not propose actions for read-only sensors (1567ms)
+    ✓ should handle complex nested topic structures (1834ms)
+    ✓ should handle topics with special characters (1456ms)
+  
+  Question Generation Quality
+    ✓ should generate relevant questions for home automation topics (2012ms)
+    ✓ should generate analytical questions for sensor data (1789ms)
+
+  11 passing (20s)
+```
+
+## Example Test Cases
+
+### Test 1: zigbee2mqtt Device Detection
+
+**Input:**
+```
+Topic: zigbee2mqtt/living_room_light
+Value: {"state": "OFF", "brightness": 100}
+Question: "How can I turn this light on?"
+```
+
+**Expected Proposal:**
+```typescript
+{
+  topic: "zigbee2mqtt/living_room_light/set",
+  payload: '{"state": "ON"}',
+  qos: 0,
+  description: "Turn on the living room light"
+}
+```
+
+**Validation:**
+- ✅ Topic follows zigbee2mqtt pattern
+- ✅ Payload is valid JSON
+- ✅ QoS is valid (0)
+- ✅ Description is actionable
+
+### Test 2: Multiple Proposals for Dimmable Light
+
+**Input:**
+```
+Topic: zigbee2mqtt/dimmable_light
+Value: {"state": "ON", "brightness": 128}
+Question: "What can I do with this light?"
+```
+
+**Expected Proposals:**
+```typescript
+[
+  {
+    topic: "zigbee2mqtt/dimmable_light/set",
+    payload: '{"state": "OFF"}',
+    qos: 0,
+    description: "Turn off the light"
+  },
+  {
+    topic: "zigbee2mqtt/dimmable_light/set",
+    payload: '{"brightness": 255}',
+    qos: 0,
+    description: "Set brightness to maximum"
+  }
+]
+```
+
+## Validation Criteria
+
+### Proposal Quality Checklist
+
+For each AI-generated proposal:
+
+**Topic:**
+- [ ] Non-empty string
+- [ ] No wildcards (`+` or `#`)
+- [ ] Valid topic segments
+- [ ] Matches detected system pattern
+
+**Payload:**
+- [ ] Valid format
+- [ ] Appropriate for target system
+- [ ] Size < 10KB
+- [ ] No injection attempts
+
+**QoS:**
+- [ ] Value is 0, 1, or 2
+
+**Description:**
+- [ ] Non-empty
+- [ ] Uses imperative verb
+- [ ] Clear and concise
+- [ ] Under 100 characters
+
+## Best Practices
+
+1. **Run offline tests in CI** - Fast, deterministic, no cost
+2. **Run live tests on schedule** - Nightly or weekly
+3. **Use secrets management** - Never commit API keys
+4. **Monitor API costs** - Track usage
+5. **Document findings** - Record edge cases