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## Features Added
### Document Reference System
- Implemented numbered document references (@1, @2, etc.) with autocomplete dropdown
- Added fuzzy filename matching for @filename references
- Document filtering now prioritizes numeric refs > filename refs > all documents
- Autocomplete dropdown appears when typing @ with keyboard navigation (Up/Down, Enter/Tab, Escape)
- Document numbers displayed in UI for easy reference
### Conversation Management
- Added conversation rename functionality with inline editing
- Implemented conversation search (by title and content)
- Search box always visible, even when no conversations exist
- Export reports now replace @N references with actual filenames
### UI/UX Improvements
- Removed debug toggle button
- Improved text contrast in dark mode (better visibility)
- Made input textarea expand to full available width
- Fixed file text color for better readability
- Enhanced document display with numbered badges
### Configuration & Timeouts
- Made HTTP client timeouts configurable (connect, write, pool)
- Added .env.example with all configuration options
- Updated timeout documentation
### Developer Experience
- Added `make test-setup` target for automated test conversation creation
- Test setup script supports TEST_MESSAGE and TEST_DOCS env vars
- Improved Makefile with dev and test-setup targets
### Documentation
- Updated ARCHITECTURE.md with all new features
- Created comprehensive deployment documentation
- Added GPU VM setup guides
- Removed unnecessary markdown files (CLAUDE.md, CONTRIBUTING.md, header.jpg)
- Organized documentation in docs/ directory
### GPU VM / Ollama (Stability + GPU Offload)
- Updated GPU VM docs to reflect the working systemd environment for remote Ollama
- Standardized remote Ollama port to 11434 (and added /v1/models verification)
- Documented required env for GPU offload on this VM:
- `OLLAMA_MODELS=/mnt/data/ollama`, `HOME=/mnt/data/ollama/home`
- `OLLAMA_LLM_LIBRARY=cuda_v12` (not `cuda`)
- `LD_LIBRARY_PATH=/usr/local/lib/ollama:/usr/local/lib/ollama/cuda_v12`
## Technical Changes
### Backend
- Enhanced `docs_context.py` with reference parsing (numeric and filename)
- Added `update_conversation_title` to storage.py
- New endpoints: PATCH /api/conversations/{id}/title, GET /api/conversations/search
- Improved report generation with filename substitution
### Frontend
- Removed debugMode state and related code
- Added autocomplete dropdown component
- Implemented search functionality in Sidebar
- Enhanced ChatInterface with autocomplete and improved textarea sizing
- Updated CSS for better contrast and responsive design
## Files Changed
- Backend: config.py, council.py, docs_context.py, main.py, storage.py
- Frontend: App.jsx, ChatInterface.jsx, Sidebar.jsx, and related CSS files
- Documentation: README.md, ARCHITECTURE.md, new docs/ directory
- Configuration: .env.example, Makefile
- Scripts: scripts/test_setup.py
## Breaking Changes
None - all changes are backward compatible
## Testing
- All existing tests pass
- New test-setup script validates conversation creation workflow
- Manual testing of autocomplete, search, and rename features
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
import os
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import unittest
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class TestProviderSelection(unittest.TestCase):
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def setUp(self):
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self._old_env = dict(os.environ)
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def tearDown(self):
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os.environ.clear()
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os.environ.update(self._old_env)
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def test_always_returns_openai_compat(self):
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"""Provider is always 'openai_compat' now (OpenRouter removed)."""
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from backend.llm_client import _get_provider_name
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# Should always return openai_compat regardless of env vars
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self.assertEqual(_get_provider_name(), "openai_compat")
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# Test with different env var combinations
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os.environ["OPENAI_COMPAT_BASE_URL"] = "http://gpu:8000"
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self.assertEqual(_get_provider_name(), "openai_compat")
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os.environ.pop("OPENAI_COMPAT_BASE_URL", None)
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self.assertEqual(_get_provider_name(), "openai_compat")
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class TestParallelConcurrency(unittest.IsolatedAsyncioTestCase):
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async def test_query_models_parallel_respects_llm_max_concurrency(self):
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import asyncio
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import backend.llm_client as lc
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old_env = dict(os.environ)
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old_query_model = lc.query_model
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in_flight = 0
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max_in_flight = 0
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lock = asyncio.Lock()
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async def fake_query_model(model, messages, timeout=120.0, max_tokens_override=None):
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nonlocal in_flight, max_in_flight
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async with lock:
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in_flight += 1
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max_in_flight = max(max_in_flight, in_flight)
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# ensure overlap is possible without the semaphore
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await asyncio.sleep(0.02)
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async with lock:
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in_flight -= 1
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return {"content": model}
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try:
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os.environ["LLM_MAX_CONCURRENCY"] = "1"
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lc.query_model = fake_query_model
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models = ["m1", "m2", "m3"]
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out = await lc.query_models_parallel(models, [{"role": "user", "content": "hi"}])
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self.assertEqual(set(out.keys()), set(models))
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self.assertEqual(max_in_flight, 1)
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finally:
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lc.query_model = old_query_model
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os.environ.clear()
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os.environ.update(old_env)
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