hurl api test script
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TESTING.md
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TESTING.md
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# Backend API Testing with Hurl
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This document provides instructions for testing the chat backend API using Hurl.
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## Prerequisites
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1. **Install Hurl**:
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- macOS: `brew install hurl`
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- Ubuntu/Debian: `sudo apt update && sudo apt install hurl`
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- Windows: Download from [hurl.dev](https://hurl.dev)
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- Or use Docker: `docker pull ghcr.io/orange-opensource/hurl:latest`
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2. **Start the backend server**:
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```bash
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# Make sure you're in the project root directory
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python -m uvicorn app:application --host 0.0.0.0 --port 8000 --reload
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```
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## Running the Tests
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### Basic Test Run
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```bash
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# Run all tests
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hurl test-backend.hurl
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# Run with verbose output
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hurl --verbose test-backend.hurl
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# Run with color output
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hurl --color test-backend.hurl
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```
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### Advanced Options
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```bash
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# Run with detailed report
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hurl --report-html report.html test-backend.hurl
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# Run specific tests (first 5 tests)
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hurl --to-entry 5 test-backend.hurl
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# Run tests with custom variables
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hurl --variable host=localhost --variable port=8000 test-backend.hurl
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# Run with retry on failure
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hurl --retry 3 test-backend.hurl
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```
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## Test Coverage
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The test script covers:
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### ✅ Happy Path Tests
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- **GET /api/models** - Retrieves available AI models
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- **POST /api/chats** - Creates new chat sessions
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- **GET /api/chats/{id}** - Retrieves chat history
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- **POST /api/chats/{id}/messages** - Sends messages to chat
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- **GET /api/chats/{id}/stream** - Streams AI responses via SSE
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### ✅ Error Handling Tests
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- Invalid model names
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- Non-existent chat IDs
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- Missing required parameters
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### ✅ Multi-turn Conversation Tests
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- Multiple message exchanges
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- Conversation history persistence
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- Different model selection
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## Test Structure
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The tests are organized in logical flow:
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1. **Model Discovery** - Get available models
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2. **Chat Creation** - Create new chat sessions
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3. **Message Exchange** - Send messages and receive responses
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4. **History Verification** - Ensure messages are persisted
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5. **Error Scenarios** - Test edge cases and error handling
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## Environment Variables
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You can customize the test environment:
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```bash
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# Set custom host/port
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export HURL_host=localhost
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export HURL_port=8000
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# Or pass as arguments
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hurl --variable host=127.0.0.1 --variable port=8080 test-backend.hurl
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```
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## Troubleshooting
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### Common Issues
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1. **Connection refused**
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- Ensure the backend is running on port 8000
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- Check firewall settings
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2. **Tests fail with 404 errors**
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- Verify the backend routes are correctly configured
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- Check if database migrations have been run
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3. **SSE streaming tests timeout**
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- Increase timeout: `hurl --max-time 30 test-backend.hurl`
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- Check if AI provider is responding
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### Debug Mode
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Run tests with maximum verbosity:
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```bash
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hurl --very-verbose test-backend.hurl
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```
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## Continuous Integration
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Add to your CI/CD pipeline:
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```yaml
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# GitHub Actions example
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- name: Run API Tests
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run: |
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hurl --test --report-junit results.xml test-backend.hurl
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```
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## Test Results
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After running tests, you'll see:
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- ✅ **Green** - Tests passed
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- ❌ **Red** - Tests failed with details
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- 📊 **Summary** - Total tests, duration, and success rate
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test-backend.hurl
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# Hurl Test Script for Chat Backend API
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# This script tests the complete flow of the backend API
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# Test 1: Get available models
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GET http://localhost:8000/api/models
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HTTP 200
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[Captures]
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models: jsonpath "$.models"
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# Validate models response
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[Asserts]
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jsonpath "$.models" count > 0
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# Test 2: Create a new chat
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POST http://localhost:8000/api/chats
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Content-Type: application/json
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{
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"model": "qwen/qwen3-235b-a22b-2507"
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}
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HTTP 200
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[Captures]
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chat_id: jsonpath "$.id"
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model: jsonpath "$.model"
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# Validate chat creation response
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[Asserts]
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jsonpath "$.id" != null
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jsonpath "$.model" == "qwen/qwen3-235b-a22b-2507"
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# Test 3: Get chat history (should be empty initially)
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GET http://localhost:8000/api/chats/{{chat_id}}
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HTTP 200
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[Captures]
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messages: jsonpath "$.messages"
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# Validate empty history
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[Asserts]
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jsonpath "$.messages" count == 0
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# Test 4: Post a message to the chat
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POST http://localhost:8000/api/chats/{{chat_id}}/messages
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Content-Type: application/json
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{
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"message": "Hello, this is a test message",
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"model": "{{model}}"
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}
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HTTP 200
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[Captures]
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message_id: jsonpath "$.message_id"
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status: jsonpath "$.status"
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# Validate message posting
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[Asserts]
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jsonpath "$.status" == "queued"
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jsonpath "$.message_id" != null
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# Test 5: Stream the response (SSE)
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GET http://localhost:8000/api/chats/{{chat_id}}/stream?message_id={{message_id}}
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HTTP 200
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[Asserts]
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header "Content-Type" == "text/event-stream; charset=utf-8"
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# Test 6: Verify chat history now contains messages
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GET http://localhost:8000/api/chats/{{chat_id}}
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HTTP 200
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[Captures]
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updated_messages: jsonpath "$.messages"
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# Validate messages are stored
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[Asserts]
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jsonpath "$.messages" count == 2
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jsonpath "$.messages[0].role" == "human"
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jsonpath "$.messages[0].content" == "Hello, this is a test message"
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jsonpath "$.messages[1].role" == "assistant"
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# Test 7: Post another message to test multi-turn conversation
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POST http://localhost:8000/api/chats/{{chat_id}}/messages
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Content-Type: application/json
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{
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"message": "Can you tell me a joke?",
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"model": "{{model}}"
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}
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HTTP 200
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[Captures]
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message_id2: jsonpath "$.message_id"
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# Test 8: Stream second response
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GET http://localhost:8000/api/chats/{{chat_id}}/stream?message_id={{message_id2}}
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HTTP 200
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# Test 9: Verify multi-turn conversation history
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GET http://localhost:8000/api/chats/{{chat_id}}
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HTTP 200
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[Captures]
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final_messages: jsonpath "$.messages"
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# Validate 4 messages (2 human + 2 assistant)
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[Asserts]
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jsonpath "$.messages" count == 4
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# Test 10: Error handling - Invalid model
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POST http://localhost:8000/api/chats
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Content-Type: application/json
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{
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"model": "invalid-model-name"
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}
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HTTP 400
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[Asserts]
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jsonpath "$.error" == "Unknown model"
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# Test 11: Error handling - Chat not found
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GET http://localhost:8000/api/chats/non-existent-chat-id
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HTTP 404
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[Asserts]
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jsonpath "$.error" == "Not found"
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# Test 12: Error handling - Invalid chat ID for messages
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POST http://localhost:8000/api/chats/non-existent-chat-id/messages
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Content-Type: application/json
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{
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"message": "This should fail",
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"model": "qwen/qwen3-235b-a22b-2507"
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}
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HTTP 404
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[Asserts]
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jsonpath "$.error" == "Chat not found"
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# Test 13: Error handling - Missing message in post
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POST http://localhost:8000/api/chats/{{chat_id}}/messages
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Content-Type: application/json
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{
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"model": "{{model}}"
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}
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HTTP 200
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# Note: The backend seems to accept empty messages, so this might not fail
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# Test 14: Create another chat with different model
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POST http://localhost:8000/api/chats
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Content-Type: application/json
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{
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"model": "openai/gpt-4.1"
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}
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HTTP 200
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[Captures]
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chat_id2: jsonpath "$.id"
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model2: jsonpath "$.model"
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# Test 15: Verify second chat has different ID
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[Asserts]
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variable "chat_id" != "chat_id2"
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variable "model2" == "openai/gpt-4.1"
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