litellm

History

yuneng-jiang e2e698944a perf: use SQL GROUP BY for aggregated daily activity endpoints Replace find_many + Python-side aggregation with a single SQL GROUP BY query via query_raw in get_daily_activity_aggregated. This collapses rows across entities (users/teams/orgs) in the database, reducing ~150k rows to ~2-3k grouped rows before transfer to Python. Also adds composite indexes (entity_id, date) to all 6 daily spend tables for faster filtered queries. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>		2026-02-19 14:36:28 -08:00
..
dist	adding build	2026-02-19 10:50:47 -08:00
litellm_proxy_extras	perf: use SQL GROUP BY for aggregated daily activity endpoints	2026-02-19 14:36:28 -08:00
tests
build_and_publish.md	Litellm notes 181 12 (#21231 )	2026-02-14 16:39:22 -08:00
LICENSE
migration_runbook.md	add new migrations	2026-02-14 09:56:45 -08:00
poetry.lock	bump extras	2025-11-26 11:47:29 -08:00
pyproject.toml	bump: version 0.4.43 → 0.4.44	2026-02-19 10:50:23 -08:00
README.md

Additional files for the proxy. Reduces the size of the main litellm package.

Currently, only stores the migration.sql files for litellm-proxy.

To install, run:

pip install litellm-proxy-extras

pip install litellm[proxy] # installs litellm-proxy-extras and other proxy dependencies

To use the migrations, run:

litellm --use_prisma_migrate