API_TEST_RESULTS.md

# API End-to-End Test Results

## Test Summary

**Date**: Checkpoint Task 10
**Status**: ✅ PASSED
**API Endpoint**: http://localhost:8000

## Tests Performed

### 1. Health Check Endpoint ✅
**Request**: `GET /health`
**Response**:
```json
{
  "status": "healthy",
  "rag_system": {
    "total_chunks": 11,
    "total_articles": 5
  }
}
```
**Result**: PASSED - API is healthy and RAG system initialized correctly

### 2. Root Endpoint ✅
**Request**: `GET /`
**Response**:
```json
{
  "name": "Smart Escalation API",
  "version": "1.0.0",
  "status": "operational",
  "endpoints": {
    "ask": "/ask (POST)"
  }
}
```
**Result**: PASSED - Root endpoint returns API information

### 3. Valid Question - Billing ✅
**Request**: `POST /ask`
```json
{
  "question": "What subscription plans are available?"
}
```
**Response**:
```json
{
  "response_type": "answer",
  "message": "Hello there!\n\nTaskFlow offers three subscription plans:\n\n*   **Free Plan**\n*   **Pro Plan**\n*   **Enterprise Plan**\n\nLet me know if you have any other questions!",
  "confidence_explanation": "High confidence - retrieved relevant content from 2 help articles with best similarity score 0.68",
  "sources": ["billing.md", "integrations.md"]
}
```
**Result**: PASSED - API returns answer with high confidence

### 4. Valid Question - Integrations ✅
**Request**: `POST /ask`
```json
{
  "question": "How do I integrate with Slack?"
}
```
**Response**:
```json
{
  "response_type": "answer",
  "message": "Hello there! I'd be happy to help you with that.\n\nTo integrate with Slack:\n\n1.  Go to Settings > Integrations.\n2.  Click \"Connect\" next to Slack.\n3.  Follow the authorization prompts.\n\nPlease note that integrations, including Slack, are available on Pro and Enterprise plans only.\n\nLet me know if you have any other questions!",
  "confidence_explanation": "High confidence - retrieved relevant content from 2 help articles with best similarity score 0.67",
  "sources": ["integrations.md", "troubleshooting.md"]
}
```
**Result**: PASSED - API returns detailed answer with sources

### 5. Out-of-Scope Question ✅
**Request**: `POST /ask`
```json
{
  "question": "What is the weather like today?"
}
```
**Response**:
```json
{
  "response_type": "escalation",
  "message": "I'm not certain I can answer this accurately. Let me connect you with a human support agent who can help.",
  "confidence_explanation": "Best retrieval score was 0.05, below confidence threshold of 0.5",
  "sources": null
}
```
**Result**: PASSED - API correctly escalates when question is out of scope

### 6. Invalid Request - Empty Question ✅
**Request**: `POST /ask`
```json
{
  "question": ""
}
```
**Response**: HTTP 422
```json
{
  "detail": [{
    "type": "string_too_short",
    "loc": ["body", "question"],
    "msg": "String should have at least 1 character",
    "input": "",
    "ctx": {"min_length": 1}
  }]
}
```
**Result**: PASSED - API validates input and returns appropriate error

## Issues Found and Fixed

### Issue 1: Response Type Mismatch
**Problem**: EscalationDecision used `"escalate"` but API expected `"escalation"`
**Fix**: Updated all instances in `src/escalation.py` to use `"escalation"`
**Status**: ✅ FIXED

### Issue 2: Incorrect Model Name
**Problem**: Configuration used `gemini-1.5-flash` which doesn't exist
**Fix**: Updated to `gemini-2.5-flash` in `.env` and `.env.example`
**Status**: ✅ FIXED

## System Configuration

- **Embedding Model**: all-MiniLM-L6-v2
- **LLM Model**: gemini-2.5-flash
- **Relevance Threshold**: 0.5
- **Top-K Retrieval**: 3
- **Total Articles**: 5
- **Total Chunks**: 11

## Conclusion

✅ **All tests passed successfully!**

The API is functioning correctly with:
- Proper request validation
- Accurate answer generation for in-scope questions
- Intelligent escalation for out-of-scope questions
- Appropriate error handling
- Correct response schema
- Working health check endpoints

The system is ready to proceed to Phase 3 (Frontend implementation).