Celes Renata 3ff910433f fix: reject empty LLM classifications for global events ...

When the LLM returns empty summary and no key facts, raise ValueError
so the retry logic kicks in instead of persisting an empty event.
Also strip whitespace from summary and filter empty key_facts entries.

Cleaned up 17 empty events from the database.

2026-04-15 19:46:31 +00:00

..

__init__.py

phase 0+1: project scaffold, k8s manifests, CI pipeline, steering, hooks, tests

2026-04-11 03:25:08 -07:00

client.py

fix: add num_predict=16384 to prevent output truncation on large articles

2026-04-15 03:11:13 +00:00

event_classifier.py

fix: reject empty LLM classifications for global events

2026-04-15 19:46:31 +00:00

exposure_inference.py

feat: competitive intelligence & historical pattern matching layer

2026-04-14 19:42:48 +00:00

main.py

feat: competitive intelligence & historical pattern matching layer

2026-04-14 19:42:48 +00:00

metrics.py

phase 14-15: docker build validation and helm deployment

2026-04-11 11:59:45 -07:00

prompts.py

fix(extractor): streaming with guardrails + catalyst_type normalization

2026-04-12 15:28:20 -07:00

replay.py

phase 14-15: docker build validation and helm deployment

2026-04-11 11:59:45 -07:00

schemas.py

fix: fill default values for missing fields in truncated LLM output

2026-04-15 03:08:10 +00:00

worker.py

phase 15: fix ruff lint errors across services

2026-04-11 12:10:01 -07:00