3 Commits
Author SHA1 Message Date
curo1305andClaude Sonnet 4.6 ac2dded35b fix(celery+lmstudio): PYTHONPATH for forked workers + qwen3.5-9b thinking model support
Three root causes fixed:

1. docker-compose.yml — celery-worker and celery-beat missing PYTHONPATH=/app
   ForkPoolWorker processes inherit sys.path with '' (CWD), but fork can change
   CWD so lazy imports like `from db.session import ...` raised ModuleNotFoundError.
   Adding PYTHONPATH=/app ensures /app is always explicit in the path.

2. provider_config.py — lmstudio SUPPORTS_JSON_MODE set to False
   LM Studio only accepts response_format type 'json_schema' or 'text', not
   'json_object'. GenericOpenAIProvider now omits response_format for lmstudio
   and relies on parse_classification() fallback (same path as Gemini).

3. generic_openai_provider.py — max_tokens raised 1024→4096 (classify) / 256→1024 (suggest)
   Qwen3 thinking models (like qwen/qwen3.5-9b) consume reasoning tokens from the
   same budget. With max_tokens=1024 the model exhausts the budget in the thinking
   trace, leaving content=''. 4096 gives room for both thinking and the JSON output.

Also updates lmstudio PROVIDER_DEFAULTS model to qwen/qwen3.5-9b (confirmed loaded
in LM Studio) and context_chars to 32_000 (Qwen3 context window).

Tested: classify(invoice_text, ['Finance','Legal','HR']) → topics=['Finance'] ✓
Backend tests: 376 passed ✓

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-05 00:00:26 +02:00
curo1305 13eef371bc feat(07-02): registry-based get_provider(config: ProviderConfig) — D-06
- Rewrites ai/__init__.py with _REGISTRY dict (10 entries) replacing the if/elif chain
- get_provider() accepts ProviderConfig (not raw dict), raises ValueError on unknown
- Resolves effective values: api_key fallback to "not-needed", model/base_url/context_chars
  from PROVIDER_DEFAULTS when config fields are empty/zero
- SUPPORTS_JSON_MODE lookup sets supports_json_mode on GenericOpenAIProvider instances
- AnthropicProvider instantiated without base_url (Plan 03 will widen the ctor)
- provider_config.py: context_chars default changed to 0 (sentinel for PROVIDER_DEFAULTS
  resolution); 8000 default was inconsistent with O(1) factory pattern (Rule 1 fix)
2026-06-04 19:01:26 +02:00
curo1305 beb5b5e49d feat(07-02): ProviderConfig Pydantic model + PROVIDER_DEFAULTS + SUPPORTS_JSON_MODE
- Creates backend/ai/provider_config.py as a pure data module (no provider imports)
- ProviderConfig(BaseModel) with extra=forbid: provider_id, api_key, base_url, model, context_chars
- PROVIDER_DEFAULTS dict with all 10 providers and verbatim base_url/model/context_chars from RESEARCH.md
- SUPPORTS_JSON_MODE dict with gemini=False per JSON Compatibility Matrix (D-02)
2026-06-04 18:56:31 +02:00