* fix(proxy): attribute gate-rejected requests to their endpoint in cache analytics
Requests rejected before dispatch (bad key, blocked key, budget, rate limit, malformed body) were spend-logged with an empty call_type because the synthesized logging object never reached the failure lifter. The caching dashboard rolled all of them, plus failed calls on info routes such as /model/info, into one Unknown group.
Resolve call_type from the matched route first, falling back to body shape, and keep the synthesized logging object on request_data so the lifter sees it. Log bare auth exceptions with the 401 ProxyException the client gets so error_code is never empty. Exclude info routes from the cache analytics groups and error breakdown. The dashboard explains the Unknown group when older rows still produce one.
Resolves LIT-5884
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): keep the raw auth exception for failure callbacks
Record the client-facing status in the spend log through a separate client_exception argument so custom failure callbacks still receive the exception auth raised.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): keep the route for multi-operation endpoints and exclude info routes from cache filter options
Routes such as /v1/files map to several operations (create, list) and the
method is not available in the failure hook, so a rejected request there is
filed under its route instead of the first mapped call type. The key alias and
model filter-option queries now apply the same info-route exclusion as the
groups and error breakdown, so every offered filter value returns data. The
info-route exclusion and Unknown grouping are now covered against a real
Postgres in tests/proxy_behavior/spend/test_cache_activity.py
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): drop client_exception, the spend log row never used it
The DB spend row for a gate rejection is written by _ProxyDBLogger from the
original exception, so the status-bearing copy only reached the in-memory
logging payload. Live runs at the tip still recorded bare auth exceptions as
Unknown/Exception, the same as the base branch. Removing the plumbing keeps
this PR to endpoint attribution and the info-route exclusion
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
/global/activity/cache_hits now returns an error_breakdown: failed spend
logs bucketed per call_type by error code and error class, read from
metadata->error_information. Clicking a red failed-requests segment on
the cache activity chart opens a per-code bar chart; hovering a bar
lists the error classes behind that code.
* feat(ui): chart failed requests as their own series on the cache dashboard
Spend logs for failed requests are stored with an empty call_type, so the
Cache Hits vs API Requests chart lumped them into an Unknown bar that read
as normal LLM API traffic. The activity query now also returns a per-group
failed_rows count (status = 'failure') and the dashboard charts it as a
third stacked series, so failures are visibly separate from successful
requests and cache hits. The chart data transform moves into a pure
summarizeCacheActivity helper with unit tests; header stats keep their
existing semantics (cache hit ratio still counts failures in the
denominator).
* refactor(ui): move cache dashboard aggregation server-side with a typed response
The /global/activity/cache_hits endpoint previously returned raw per
(key, call_type, model) spend-log aggregates typed as LiteLLM_SpendLogs
(wrong), and the dashboard reduced them in the browser: grouping by
call_type, relabeling empty call_type as Unknown, and computing the stat
card totals. All of that now happens server-side. The SQL groups per
call_type and splits cache hits vs successful vs failed requests, a new
cache_activity module validates rows into Pydantic models and computes
totals plus the key-alias/model filter options, and the endpoint declares
a real response_model so schema.d.ts types it correctly. The dashboard
consumes it through a typed $api react-query hook (filters ride the
query key and are applied in SQL instead of the browser), the hand-rolled
summarizeCacheActivity transform and the adminGlobalCacheActivity fetch
helper are deleted, and the refresh button now actually refetches.
The endpoint is UI-internal (hidden from the public swagger), so the
response reshape is not a public API break.
