* feat(teams): apply default organization to new teams from default team settings
Adds organization_id to DefaultTeamSSOParams so proxy admins can pick a
default organization in Default Team Settings. new_team applies it before
org validation whenever a team is created without an explicit
organization_id, so API, Admin UI, SCIM, SSO, and team upsert creations
all inherit it and go through the same existence and org-limit checks.
Explicit organization selections win and existing teams are untouched.
The default is validated at save time (PATCH /update/default_team_settings
returns 400 for an unknown org) and at create time, where a missing org now
surfaces as a clean 400 instead of a 500 by routing OrganizationNotFoundError
into the previously dead org_table None guard.
The Admin UI Default Team Settings tab gets a Default Organization row
backed by the shared OrganizationDropdown.
* fix(teams): validate org limits against final team state including defaults
Applies default_team_params and the legacy max_budget fallback before the
organization validation block, so _check_org_team_limits sees the values the
team will actually be persisted with. Also loads the org's budget table in
the lookup; without include_budget_table every budget comparison in
_check_org_team_limits was skipped because litellm_budget_table was None.
* test(proxy_behavior): pin org team limits as enforced on /team/new
The dead-code pins existed to turn red when include_budget_table went
live; that happened, so the scenarios now assert the 400 rejections plus
within-cap acceptance, and the unknown-org pin asserts the handler's 400
instead of the surfaced 500.
Adds a Stream responses checkbox (default on) to the playground Model
Settings popover. When unchecked, chat completions and responses API
requests are sent with stream: false and the full reply renders at
once. The non-streamed result is replayed through the existing
streaming handlers as synthesized chunks/events so MCP events, vector
store results, usage and response ids behave identically in both
modes. TTFT is suppressed when not streaming; total latency now also
reported for the responses API. The toggle is scoped to the chat and
responses endpoints, persists via sessionStorage, and is isolated from
the simplified Agent Builder chat.
Resolves LIT-3251
* fix(proxy): backfill null user_email on existing users during JWT auth
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): guard mapped-key email backfill and make null update atomic
Resolve Greptile review on the JWT user_email backfill:
- only backfill when the mapped virtual-key owner is the JWT principal, so a
mismatched admin-created mapping cannot write one user's email onto another
- make the best-effort mapped-key enrichment non-fatal so a database outage on
a cached-key request no longer fails otherwise-valid authentication
- persist the backfill with an atomic null-guarded update_many so concurrent
writers cannot overwrite an already-populated email
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): keep cache coherent when a concurrent backfill wins the null-email update
* fix(proxy): cache DB-persisted email after JWT backfill, not the proposed value
Resolve the Greptile finding that a successful null-guarded backfill could
cache this request's proposed email even if a concurrent ordinary user update
wrote a different email first. The helper now always re-reads the row after the
atomic update and refreshes the cache from the value the database holds, so
cache-hit auth and attribution stay consistent with the persisted record.
Annotate the Prisma and model_copy dict literals to keep the LIT002 budget within its ceiling.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: shivam <shivam@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: ryan-crabbe-berri <ryan@berri.ai>
disable_team_logging cleared only metadata["callback_settings"], but callbacks
registered through POST /team/{team_id}/callback and the Admin UI live in
metadata["logging"], and request-time resolution stops at that slot without
ever reading callback_settings. The endpoint reported success while the team
kept sending request and response data to its third-party destination.
Empty the logging slot alongside the existing callback_settings reset, and
refresh the cached team object so the change applies to keys that are already
in flight rather than at the next cache expiry. The same refresh is added to
add_team_callbacks, which has the symmetric problem of a newly registered
callback staying dormant until the entry expires.
Resolves LIT-5101
Bedrock managed-batch file upload read `messages` unconditionally, so a
JSONL record shaped for /v1/completions (`prompt`) or /v1/responses
(`input`) reached the per-provider transform with an empty message list.
Anthropic and Nova rejected it at POST /v1/files, and the passthrough
providers shipped an empty conversation to AWS.
Classify each record by its OpenAI batch `url`, then normalize the
non-embedding shapes to chat completions before the Bedrock transforms:
`prompt` wraps into user messages the way litellm.text_completion does in
real time, and `input` goes through the existing Responses-to-Chat bridge.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
LiteLLM_ManagedObjectTable only stores created_by (user_id) and team_id,
never the raw API key hash. A batch created with the master key or a
team-less key has both null, so CheckBatchCost's synthetic logging_obj
for the completed batch carried no attributable key/user/team/end-user.
_should_track_cost_callback silently skipped the DB write in that case
(by design, to avoid tracking truly anonymous requests), with no error
or warning: batch_processed still became true, but no LiteLLM_SpendLogs
row was ever written despite real, already-incurred provider cost.
Extend the same allowance already made for unauthenticated pass-through
requests to aretrieve_batch's cost event, and pass job.team_id through
so a batch's team gets real attribution when one exists.
The strict-priority e2e (added with the zero-increment limiter fix) can
never pass on stage: the proxy there does not run the
dynamic_rate_limiter_v3 callbacks + priority_reservation settings the
module requires, confirmed by zero limiter log lines across every
gateway and backend pod during the 2026-08-02 run. Config lives in the
infra repo; LIT-5118 tracks adding it.
The throughput SLO test failed the same run with 65.9% of requests dying
at the ELB as 502/503 before reaching a pod. The per-replica SLO rework
fixed the RPS-floor assertion but cannot help when stage idles at one
warm gateway replica; LIT-5119 tracks pre-scaling the fleet for the load
phase.
Both skips name their ticket, and the coverage registry returns the two
cells to the gap list while they are in place.
A single read of key_info.spend races the batched spend writer: deltas
earned before a reset flush to the DB up to ~60s later
(proxy_batch_write_at) and land on the row after the reset zeroed it.
The stage runs on Jul 30 and Aug 2 failed
test_key_budget_reset_at_advances_after_window exactly this way, with
spend back at the driven total while budget_reset_at had advanced and
calls flowed again.
Replace the single reads in rung 3 (spend zeroed after reset) and rung 4
(roomy window keeps spend) with _poll_key_spend, which re-reads to a 90s
deadline covering one full flush-plus-reset cycle. A reset that never
zeroes the row keeps spend pinned and still times out, so the regression
guard keeps its teeth.
Cursor appends -thinking-<level> and -fast to custom model names when the
user picks a thinking level or fast mode, so a model configured as
claude-opus-5 arrives as claude-opus-5-thinking-xhigh-fast and fails
routing with no healthy deployments. When the raw name is not servable by
the router but the suffix-stripped base name is, rewrite the body to the
base model and carry the thinking level into reasoning_effort (chat
bodies) or reasoning.effort (Responses bodies), never clobbering an
effort the client already sent. Explicitly configured aliases keep
winning because the raw-name servability check runs first.
* fix(team-callbacks): report API-registered callbacks from GET /team/{team_id}/callback
POST /team/{team_id}/callback writes metadata["logging"] while the GET read
metadata["callback_settings"], so every team configured through the API or the
Admin UI got back an empty list. c620d76fe4 migrated the writer to the new key
and left this reader on the old one.
Resolve the read the same way request-time resolution does in
_get_dynamic_logging_metadata: a logging slot that is present wins outright and
callback_settings stays as the deprecated fallback, so the endpoint reports what
a request would really do rather than the union of both shapes. An empty logging
list therefore reports no callbacks, matching a request that fires none.
Decrypt callback_vars for the response and mask the credential keys. Ciphertext
would be unusable to the caller, and a value encrypted under a key that is no
longer classified as sensitive would otherwise come back as a raw blob.
Resolves LIT-5093
* Update litellm/proxy/management_endpoints/team_callback_endpoints.py
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(team-callbacks): mask callback vars that fail to decrypt
decrypt_callback_vars passes a value through untouched when it cannot be
decrypted, which happens to existing rows after a salt-key rotation. Under a
key that is not classified as sensitive that blob reached the caller as opaque
ciphertext it could not use or tell apart from a real value, so mask anything
still carrying the encrypted prefix.
Raised by Greptile on the first commit.
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The type-discipline gate flagged 17 new mutable-collection annotations and 31
new mutable-collection constructions added by this branch. Replace raw dict
literals with the OpenAI SDK's TypedDict call forms, annotate read-only params
as Mapping/Sequence, precompute the custom tool call id set as a frozenset,
and accumulate streamed arguments as tuples. The few places where a plain
list/dict is a hard contract (pydantic response fields, fastapi route tags,
parsed request bodies, in-place tool call patching) carry reasoned mutable-ok
suppressions instead. Ratchet the ruff, type-discipline, and basedpyright
budgets down by the violations this branch now fixes on net
A keyless internal user signing in to the Admin UI was redirected off the
post-login landing to /ui/connect, which renders nothing but the MCP apps panel,
so a plain gateway sign-in ended on an MCP OAuth surface the user never asked
for. The landing now renders the keys dashboard for every role. The key lookup
that existed only to make that routing decision goes with it, along with the
useKeys enabled flag it was the sole caller of and the role-hydration hold that
guarded its one-frame dashboard flash
The gateway DCR consent flow moves the other way. Its /authorize handed the
browser to /ui/chat/integrations, whose layout hard-blocks when enable_chat_ui
is off, which is the default, and client-side redirects to /ui/ without the
query string; that destroys the connect_flow handle and strands the MCP client
until the 600s flow cookie expires. It now lands on /ui/connect, which reads
connect_flow and connect_client, mounts the consent banner and puts the apps
panel in connect mode. /ui/chat/integrations keeps its connect-mode handling
this release so flows sealed before the deploy still finish
Resolves LIT-5104
Resolves LIT-4911
About 35,000 fixes ruff marks safe across 32 rules (UP006/UP045/UP007
modern annotations, UP032 f-strings, SIM114/SIM118, RET501, and
friends), removal of the 1,296 typing imports the rewrite orphaned, and
hand fixes for what the fixers could not see: five star-import
freeloaders of typing names, two F823 late-import annotations, the
/get/config/list introspection crash on types.UnionType, redundant
function-local RoleMappings imports in ui_sso.py that shadowed the
module-level name once the annotation lost its quotes, and one FURB168
tautology.
B009/B010/PIE804/RUF019 are excluded on purpose: their safe fixes
rewrite getattr/setattr/**-splat/key-in-dict escape hatches into forms
basedpyright then rejects (283 new errors measured), so their budgets
stay at base values.
ruff-strict-budget.json drops by 39,579 this commit (39,968 across the
branch) with 28 rules at an actual 0 and 9 more sharply down.
type-discipline-budget.json ratchets LIT002/LIT006/LIT009 down; LIT001
moves to the now-honest total: the checker matches the spelling `set`
but not the alias `Set`, so the 160 typing.Set annotations rewritten to
set[...] were always mutable-set annotations and only now count.
Two changes to the classifier's system role, both narrowing it rather than adding to it
classifier_tier_rubric let an operator replace the tier definitions. It shipped in
#35471 alongside the assistant-turn context window, but the two answer different halves
of the same report and only the context window was asked for. The override carried a
composed prompt, an overridable and a non-overridable half, a blank-is-unset rule, a
length-warning validator and a pair of dashboard controls. All of it goes
The rubric then closes on one of two lines, chosen by classifier_context_window_size.
At 0 no conversation is quoted, so the line is the original one, byte for byte: a
deployment that sends no context is told to classify the current message and nothing
else, which is what it could see all along. Above 0 the turns are quoted, and the
original line told the model to disregard them, which is how a request whose difficulty
was established in an earlier turn came back SIMPLE on the word "yes". There the line
instead says to classify the current message using the quoted turns as context, and to
rate what a short reply approves rather than the reply
The choice keys on the window and not on classifier_context_include_assistant_turns.
Whether the quoted turns are the user's alone or include the assistant's replies does
not change what the model needs told, and whose turn is whose is already on the turns.
Keying it on the assistant toggle would put the default deployment back on the original
line, which is the configuration the report was raised against
Folds in #35508, which built the window-dependent framing on top of the override this
removes; that PR is closed in favour of this one
PR #35471 added classifier_context_include_assistant_turns to ComplexityRouterConfig.
It worked through config.yaml and the model API but had no control on the Add Model or
Edit Auto-Router screens, so an operator working from the dashboard could not reach it.
Wires it into the create and edit forms, shown only when the LLM classifier is
selected, matching what #35315 did for the two context-window fields
The create and edit stacks share the rendered control but keep their own serializer,
their own hydration, and their own managed-key set, so the field is added in five
places rather than one. A field wired into only one stack fails in a way neither
serializer unit test can see, since those are handed a form value assembled by hand,
so the edit-modal test drives the real component through open, edit and save
The switch is emitted even when false, because there the operator turning it off is a
choice that has to overwrite a stored true rather than an absent value a truthiness
gate would drop
`import litellm` reaches litellm/integrations/otel/model/config.py via
litellm_core_utils/litellm_logging.py, so pydantic-settings is needed at import
time. It was declared only in the `proxy` extra, which left a plain
`pip install litellm` unimportable on every platform.
Adds tests/base_sdk_tests/check_base_sdk_install.py and a base_sdk_install
CircleCI job that builds the wheel, installs it into a clean venv with no extras,
and smoke-checks the import, a mock completion, a mock embedding, the bundled
pricing metadata and the token counter. The check is stdlib-only on purpose;
installing pytest into that venv would add packaging, pluggy and iniconfig and
could mask the class of undeclared dependency it exists to catch.
Previously the Windows job was the only one installing without extras, so this
class of break was caught by accident rather than by design.
Gating the mock testing request params behind
general_settings.dangerously_allow_mock_testing_request_params (#35423) turned
every fallback, retry and timeout drill in tests/test_fallbacks.py into a 400:
the build_and_test job mounts proxy_server_config.yaml, which never opted in.
Opt that config in. It is the config the CI proxy runs with, and the suite it
serves exists to drive synthetic failures.
Add a unit test that ties the two together: it scans the top-level tests/test_*.py
files build_and_test globs for gated param names and fails if the config they run
against has not opted in, so the next change to either side is caught in a fast
lint-tier job rather than a Docker E2E.
Adding a team member by a user_id with no user row is now proxy-admin-only,
so the /team/member_add authz matrix, which targeted a never-seeded user_id,
started 403ing every non-proxy-admin caller. Seed the member as a real user
row so the matrix reads _validate_team_member_add_permissions alone; leaving
it unseeded and relaxing the expectations to 403 would have left all 18 rows
green with that gate deleted outright.
Cover the new gate at the HTTP boundary, where only the helper was pinned
before: a team admin and an org admin both clear the permission check on the
same team and are still refused an unprovisioned user_id, with no user row
left behind. Pin the escape hatch that refusal names too, so closing the
email-invite path for non-proxy-admins cannot pass silently.
Promote the user seeder the member-info pins had kept private to conftest,
and reclaim invited users by their scratch-prefixed email, since an invite
allocates the user_id server-side.
_delete_deployment stopped returning a count of evictions in #35400 and now returns
the frozenset of ids the db and config still want, so a caller judging its own reload
can tell a deliberate eviction from a deployment that went missing. These two tests in
tests/local_testing were left comparing that frozenset against an int and have been
failing since; the directory is only referenced by .circleci/config.yml, which no
longer reports checks on PRs, so nothing caught them.
The eviction behavior itself is unchanged, so the fix is on the assertions: compare
against the expected id set, and pin the router's surviving ids so a mutation that
evicts the wrong deployment is caught rather than passing a bare length check.
The gateway and backend probes omitted timeoutSeconds, so kubelet applied its
1s default. Both containers run a single uvicorn worker (the gateway defaults
NUM_WORKERS to 1; the backend passes no --workers at all), so each pod is one
asyncio event loop and its per-request latency under closed-loop saturation
rises by queueing (~57-62ms serial vs ~6s at 100 concurrent users against one
replica). Both /health/readiness and /health/liveliness then time out on the
stage cluster while the pod is serving traffic correctly, which exposes the
deployment to losing a healthy pod from its load balancer during a burst and
to restarting a merely busy one.
Readiness now gets timeoutSeconds 10, equal to periodSeconds and above the
measured saturated latency, and keeps failureThreshold 3. kubelet drives each
probe from a time.Ticker of periodSeconds rather than sleeping between
attempts, and coalesces ticks that arrive mid-probe, so the interval between
probe starts is max(periodSeconds, probeDuration) and not their sum. Keeping
timeoutSeconds <= periodSeconds is what holds that interval at 10s, so three
consecutive failures still evict a genuinely wedged pod in ~30s.
Liveness gets the same timeout plus failureThreshold 6: /health/liveliness is
an in-memory flag check, so a timeout there only ever means event-loop
starvation, which a restart makes worse, and it now needs ~90s of sustained
unresponsiveness to fire.
The ui container keeps the default. It is nginx serving a Next.js static
export, so / is a file off disk with no application runtime that could queue
behind saturated work, and nothing measured suggests it needs more than 1s.
The componentized images exec uvicorn directly, so ddtrace-run never wraps the
interpreter. USE_DDTRACE is not inert there; the proxy lifespan still runs
patch_all and litellm's own manual spans still emit. What never gets installed
is ddtrace's ASGI TraceMiddleware: starlette builds its middleware stack lazily
on the first __call__, which is the lifespan scope, so patching from inside the
lifespan body is already too late and no root request span is ever created.
Route both entrypoints through a shared docker/component_entrypoint.sh that
mirrors the monolith's prod_entrypoint.sh contract, including the
DD_TRACE_OPENAI_ENABLED=False export that keeps ddtrace's openai integration
from double-reporting calls litellm instruments itself.
Co-authored-by: Yassin Kortam <yassin.kortam@gmail.com>
The migrations image ran `prisma migrate deploy` against a bake anchored in
$HOME with no node in the runtime stage, so prisma-client-py fell through to
nodeenv and tried to download a Node runtime on first start. In an
egress-restricted cluster that fails outright, and under an arbitrary uid the
uid-specific cache path is unreadable, so the job never applies a migration.
Move the bake to /opt/prisma with world-readable modes, install node in the
runtime stage, and pin PRISMA_BINARY_CACHE_DIR / PRISMA_CLI_PATH /
PRISMA_OFFLINE_MODE so the migration entrypoint runs the cached CLI directly.
This is the same treatment the root, non_root and database images already
carry.
Resolves LIT-4727
