- Add loading spinner with 'Thinking...' text during streaming when
content is not yet available
- Fix :key binding to use message.id instead of message.content
- Remove unnecessary TypeScript cast in file reader handler
- Move test image into testdata/ directory for proper test organization
- Remove t.Skip and simplify TestSummarizeChat test message
- Remove t.Skip for TestSendMessageWithImage (qwen3-8b-vision works with base64)
- Add test_image.jpg (400x300) to test directory alongside test file
- Load image at runtime, convert to base64 data URL for API
- Collect full response in bytes.Buffer and verify non-empty output
- Remove dependency on /tmp/dog.jpg, embed small PNG as base64 data URL
- Add t.Skip for qwen3-8b-vision tests (LlamaSwap returns 502 for vision)
- Remove unused encoding/base64 and os imports
- Use model constant for consistency across tests
Add vision/multimodal support to chat, allowing users to send images
alongside or instead of text prompts. Images are transmitted and persisted
as base64 data URLs.
Backend:
- Add Images []string to Message struct for persistence
- Add Images []string to GenerateTextRequest with relaxed validation
- Build multimodal user messages using OpenAI SDK content parts
- Pass images through from handlers to client
- Deep-copy Images slice in message cloning
Frontend:
- Add images?: string[] to Message and GenerateTextRequest types
- Add image selection state and file input handler
- Add camera icon button, hidden file input, and image preview strip
- Render images in user message bubbles
- Pass images through to GenerateTextRequest
Tests:
- Add TestSendMessageWithImage for vision model testing
vLLM sends thinking content in a "reasoning" delta field, unlike
DeepSeek which uses "reasoning_content". Check both field names so
thinking blocks render for vLLM-hosted models like qwen3.6-27b-thinking.
Also update client tests to exercise thinking output and skip by default
so they don't run in Drone CI (require live LLM API).
