- OllamaChatCompletion.model changed from COMBO to plain STRING so it can
receive a wired value from OllamaLoadModel without a separate model_name
socket (removes dual-input UX confusion and COMBO validation errors)
- Removed model_name optional input — model STRING is the single entry point
- _load_default_models() tries OLLAMA_HOST env var → host.docker.internal →
localhost so COMBO nodes pre-populate on server start inside Docker
- docker-compose.dev.yml: OLLAMA_HOST=http://host.docker.internal:11434 so
model dropdowns are populated at startup without a manual Refresh click
- JS: refreshModelWidget handles both COMBO and STRING widget types; keeps
user-typed/wired value when it is already a known model
- Tests: first_generative_model fixture dynamically selects the first
installed model instead of hardcoding embeddinggemma:latest (which is an
embedding-only model that rejects /api/generate with HTTP 400)
- Tests: test_multi_turn_receives_context passes think=False to prevent
Qwen3 thinking-mode models from returning empty content fields
- Screenshots retaken: ollama_chat.png, ollama_lifecycle.png, ollama_workflow.png
All 80 unit + 9 integration tests pass.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RWysE6jYn4YjNorLBQ1cXb
