12 commits

Author	SHA1	Message	Date
CREDO23	7fb0707933	refactor(backend): rename search_space -> workspace across app bulk (Phase 2 Wave D) ... Scoped codemod over surfsense_backend/app (excluding routes/, Wave E): renames search_space_id -> workspace_id, search_space -> workspace, SearchSpace -> Workspace across services, utils, tasks, agents, gateway, event_bus, notifications, podcasts, automations, observability params, and prompt .md files. Also flips the camelCase payload key searchSpaceId -> workspaceId (no backend reader; hard cutover). Preserved carve-outs (verbatim): Celery task names "delete_search_space_background" and "ai_sort_search_space" (wire names), and the OTel/metric key "search_space.id" (dashboards depend on it). Enum values 'SEARCH_SPACE' and SearchSourceConnector untouched.	2026-06-26 18:30:47 +02:00
Anish Sarkar	d9a4f14f99	feat(token-tracking): enhance model metadata reconciliation by adding bare model name handling	2026-06-14 12:18:22 +05:30
Anish Sarkar	8fe9c21e76	feat(token-tracking): add model metadata registration and enhance token usage tracking	2026-06-13 03:08:35 +05:30
CREDO23	32f6766cb6	fix(tokens): use canonical prompt_tokens_details path for cache fields ... LiteLLM normalizes every provider's cache fields onto usage.prompt_tokens_details (cached_tokens + cache_creation_tokens). The earlier fallback to usage.cache_read_input_tokens / usage.cache_creation_input_tokens was wrong: Anthropic-shaped fields only live there via a trailing setattr loop, and the canonical field name on the wrapper is cache_creation_tokens (not _input_tokens).	2026-05-20 09:55:39 +02:00
CREDO23	6090980c5e	obs(tokens): log prompt-cache read/write counts and hit ratio per LLM call	2026-05-20 09:51:44 +02:00
CREDO23	581bbfb5c1	perf(tokens): add per-call latency to capture log	2026-05-19 21:30:25 +02:00
DESKTOP-RTLN3BA\$punk	ae9d36d77f	feat: unified credits and its cost calculations	2026-05-02 14:34:23 -07:00
Anish Sarkar	9fc0976d5e	chore: ran linting	2026-04-14 21:52:26 +05:30
Anish Sarkar	f01ddf3f0a	feat: implement token usage recording in chat routes and enhance title generation handling	2026-04-14 20:56:07 +05:30
Anish Sarkar	f21bdc0668	feat: enhance LLM response handling and token usage tracking in chat services and UI components	2026-04-14 15:29:02 +05:30
Anish Sarkar	5af6005163	feat: improve token usage tracking and response handling in chat routes and services	2026-04-14 14:28:31 +05:30
Anish Sarkar	3cfe53fb7f	feat: implement token usage tracking for LLM calls with new accumulator and callback	2026-04-14 13:40:32 +05:30