Greedy multiset match on chunk text decides which rows keep their embeddings,
which texts need embedding, and which rows are deleted. No DB, no embeddings;
fully unit-tested (reuse, head insert, middle edit, deletion, duplicates,
reorder, full rewrite).
The cached payload is the indexing pipeline's embeddings (markdown is
chunked then embedded), so "embedding cache" names the expensive output
directly and removes the "index" ambiguity (DB index vs vector index vs
indexing phase). Renames the service, settings, eligibility, eviction
task, metrics, config flags (INDEX_CACHE_* -> EMBEDDING_CACHE_*), object
prefix, and the table (index_cache_embedding_sets -> embedding_cache_sets)
with its constraint and indexes. Migration 161 renamed accordingly.
Pin AUTH_TYPE=LOCAL (and REGISTRATION_ENABLED=TRUE) in the test bootstrap so
the email/password auth routers mount during integration tests regardless of a
developer's .env=GOOGLE; without this the upload tests 404 on registration.
Also update three tests to the current QuotaInsufficientError signature
(balance_micros) after used_micros/limit_micros were removed.
- Introduced LLMErrorCategory and adapt_llm_exception to normalize LLM exceptions.
- Updated llm_retryable_message and llm_permanent_message to utilize the new adaptation logic.
- Enhanced classify_stream_exception to classify provider errors and return user-friendly messages.
- Added tests for error classification and adaptation to ensure robustness.
- Updated frontend error handling to display appropriate messages based on new classifications.
Move the lifecycle service, Celery task bodies, and mark_failed coverage out of
DB-faking unit tests and into integration tests against a real Postgres, faking
only true externals (broker, object store, TTS, ffmpeg, billing, LLM). Add HTTP
slices for cancel, voices, scoping, and public-chat streaming. The unit tier is
now fake-free pure logic with no session doubles.
- Updated environment variables and - configurations for credit purchases via Stripe, replacing legacy page pack system.
- Introduced auto-reload feature for credit top-ups and modified database models to track credit transactions.
- Updated notification system to handle insufficient credits and auto-reload failures.
- Adjusted API routes and schemas to reflect changes in credit management.
