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46618 commits

Author SHA1 Message Date
ryan-crabbe-berri
579f41d57f
fix(proxy): attribute org spend for team-linked credentials minted without org_id (#34577)
* fix(proxy): attribute spend to org for team-linked keys minted without org_id

Keys attached to an org-linked team but minted without an organization_id
produced spend that was never credited to the org: the spend writer reads
user_api_key_dict.org_id with no team fallback, while the org budget check
resolves the org from the team. The check therefore ran against a counter
fed by almost none of the org's traffic and never tripped.

Backfill org_id from the freshly fetched team object in
_run_centralized_common_checks, per request only, so the spend writer and
the budget check read the same org. A key with an explicitly pinned org_id
always wins, and the cached key row is never mutated, so moving a team to
a different org takes effect on the next auth once the team cache
refreshes.

* test(proxy): cover CLI session-token org backfill from team

CLI session tokens from /sso/cli/poll are minted with a real team_id but
no org_id, and their auth path decrypts the blob without the combined_view
team join that fills org for DB keys. Spend from these tokens reached the
team but never the org, so org budgets never tripped. The regression test
mints a real CLI token, runs it through the centralized checks, and
asserts the credential leaves auth with the team's org.
2026-07-24 18:20:42 -07:00
shivam
b6cf4066f4 fix(caching): log cached anthropic stream replay only once
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-25 01:17:43 +00:00
Yuneng Jiang
f2315b070f
Merge branch 'litellm_internal_staging' into litellm_/fil-china-passthrough-contract-fef51c 2026-07-24 18:10:20 -07:00
Yuneng Jiang
838c7a7ea7
feat(passthrough): record upstream-reported cost and token usage
A pass-through target that fans a single HTTP request out to several models
internally cannot be priced from its response body, so LiteLLM had nothing to
record and every such request landed in the spend logs with zero cost and zero
tokens. The target now reports the totals for the whole request in
x-litellm-response-cost and x-litellm-total-tokens response headers, and
LiteLLM records those values as-is rather than recomputing them.

The headers are read on every upstream response, so a request that burned
tokens before failing still books its spend on the failure row instead of
being dropped for having a 4xx/5xx status. Only what the upstream actually
reported is written, so a target that sends a cost but no token count keeps
the token count LiteLLM derived on its own; a target that sends neither header
is untouched, which is the normal case for Anthropic, Vertex and friends.

Two supporting fixes fall out of this. The rate limiter only pulled token
counts off response shapes it models, so pass-through usage never charged the
TPM window and a team could exceed its shared token limit through pass-through
traffic alone; it now falls back to combined_usage_object. And the streaming
success path reset response_cost unconditionally before the assembled response
recomputed it, which discarded any cost a pass-through handler had already
established (the pass-through branch right below it has always intended to
preserve exactly that).
2026-07-24 18:10:15 -07:00
yuneng-jiang
78348fd1c7
Merge pull request #34571 from BerriAI/litellm_/migrate-simple-table-status-74b530
refactor(ui): migrate routing groups table onto the shared DataTable
2026-07-24 18:06:58 -07:00
Tin Chi Lo
3ca9d551dc fix(proxy): anchor the tool spend clamp floor to UTC midnight
With end_date omitted the floor was end-anchored to now including its
time-of-day, so an explicit start_date exactly 30 days back parsed as
midnight, compared below the floor, and was invisibly clamped to a
mid-day instant: up to a day of spend disappeared while the response
start_date still printed the full calendar date. Anchoring the floor to
today's UTC midnight makes every comparison in the window derivation
date-pure.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-24 18:00:16 -07:00
Tin Chi Lo
5fc4a058c1 test(proxy): cover the cleanup run-loop backstop branch
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-24 17:43:15 -07:00
Yuneng Jiang
fc278bbf9f
refactor(logs): match ui_view_spend_logs' team-scope clause shape
The scope predicate expanded permitted team ids into an IN list with one
placeholder each, copied from /key/aliases. ui_view_spend_logs, which owns
the same page and the same scoping rules, builds ("user" = $X OR team_id =
ANY($Y::text[])) instead: a single array parameter whatever the team count,
and no placeholder arithmetic to keep in step with the rest of the query.

Same semantics, but the two clauses now read identically, so a future change
to how spend logs are scoped is harder to apply to one and miss in the other.
2026-07-24 17:39:29 -07:00
tin-berri
2d6b57407d
Merge pull request #34578 from BerriAI/litellm_headroom_tokens_saved
fix(guardrails): derive tokens_saved when Headroom compression service omits it
2026-07-24 17:37:13 -07:00
Tin Chi Lo
30b7fd16f0 fix(proxy): label the tool spend clamp accurately (start capped at 30 days before end)
The clamp floor is end_date minus 30 days, serving up to 31 calendar
dates inclusive: deliberately the same width as the endpoint's default
window, so the dashboard's own default range never triggers the clamp
note. The docstring, card note, and test name now state that invariant
instead of the misleading 'most recent 30 days'.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-24 17:31:00 -07:00
yucheng-berri
5677bc237c
fix(proxy/batches): resolve managed unified input_file_id to storage_url with ownership check before dispatch (#34474)
* fix: resolve unified_file_id to real storage_url before dispatching batch create

litellm.create_batch() against a Vertex AI-backed model crashes with an
opaque error when the input file was uploaded as a LiteLLM-managed
'unified file' (multi-model file upload). The base64-encoded
unified_file_id token is a LiteLLM-internal identifier, not a real
provider-side file reference, but the batches_endpoints create_batch
handler forwards it unchanged to llm_router.acreate_batch() /
litellm.acreate_batch() for the unified_file_id branch. Provider-specific
code that expects a real file location (e.g. Vertex AI's batch
transformation, which parses a 'publishers/' segment out of the GCS URI)
then fails on the opaque token.

Resolve the unified_file_id to its real backend location
(LiteLLM_ManagedFileTable.storage_url) before dispatch, mirroring the
same lookup already used by the files retrieve/download endpoints for
managed files. Falls back to the previous (unchanged) behavior if no
managed-file record exists.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(proxy/batches): null-guard await on find_first for sync MagicMock test harnesses

* fix(proxy/batches): enforce ownership and correct lookup key when resolving managed input_file_id

The adopted resolution queried LiteLLM_ManagedFileTable with the decoded
litellm_proxy string, but the unified_file_id column stores the raw base64
file id (see schema.prisma and the enterprise managed-files hook), so the
lookup never matched in production and silently fell back to the opaque id.
Query with the raw id instead and lock the key with a regression test.

Move the resolution above the dispatch branches so the load-balanced router
path receives the resolved storage_url too, enforce managed-file ownership
with the same can_access_resource semantics the files retrieve and download
endpoints use (404 on denial), and downgrade database failures to a logged
fallback instead of aborting batch creation. Unresolved ids still dispatch
unchanged because the managed-files deployment hook can map them via
model_file_id_mapping

* fix(proxy/batches): fail closed when the managed file ownership lookup errors

A lookup exception previously fell back to dispatching the original
unified id with the ownership gate unexecuted; the managed-files
deployment hook maps unified ids from cache without re-checking
ownership, so a database outage let a caller dispatch another tenant's
file. Raise a clear 503 instead and lock the behavior with a regression
test. No-database and no-row cases still fall back unchanged

* test(proxy/batches): default harness prisma_client to None

The batch routing harness left proxy_server.prisma_client at its module
global, which a sibling test in the same shard can leave as a MagicMock.
The unified-file rows that do not opt into managed-file resolution then
entered the resolver and awaited a non-awaitable mock, surfacing as a
503. Patch prisma_client to None by default so those rows stay a no-op;
resolution tests still override it explicitly

* fix(proxy/batches): keep unified resolution in its own branch and fail closed on missing row

Cursor flagged that hoisting the storage_url substitution above the
load-balanced dispatch branch broke two things on that path: the
model_file_id_mapping deployment filter keys on the original unified id,
and the response returned the internal storage_url instead of the
unified id. Move the resolution back inside the unified branch and
exclude unified ids from the load-balanced branch so a managed file
always takes the resolving path (which restores input_file_id and the
unified_file_id hidden param on the response), and a load-balanced batch
keeps the original id for deployment filtering.

Also fail closed with a 404 when a unified id has no managed-file row
while a database is present: the id cannot be ownership-verified, and
dispatching it would both bypass the gate and hit the Vertex
publishers-segment IndexError. Owned rows without a storage_url (legacy)
still dispatch the original id

* fix(proxy/batches): do not divert unified files off the load-balanced branch

Excluding unified ids from the load-balanced branch (and not
unified_file_id) regressed a path that works on the base revision: a
multi-model managed file dispatched with an explicit router model under
load balancing was routed into the unified branch, which raises a 400
for anything other than exactly one target model. Verified live against
base (200, managed-files deployment hook remaps the unified id per
model) versus the guarded branch (400 Expected 1 model, got 2).

Restore the original three-condition load-balanced branch so that path
keeps working unchanged. Unified-file storage_url resolution and the
ownership 404 still apply on the non-load-balanced unified branch, which
is the common managed-batch flow; the load-balanced managed path retains
its existing behavior and its pre-existing enterprise-hook ownership gap,
unchanged from base

* refactor(proxy/batches): scope managed-file handling to resolution, drop ownership check

Narrow this PR to its one problem: resolving a managed unified input_file_id
to its backend storage_url so provider batch handlers (Vertex parses a
publishers/ segment) receive a real location instead of the opaque token,
and failing closed with a 404 when the token has no backing row so it is
never dispatched into the provider crash.

Remove the cross-tenant ownership check (can_access_resource) added earlier.
Batch-create had no ownership enforcement before this PR, and the gap spans
every managed-file call type, so it belongs in the enterprise managed-files
pre-call hook (its acreate_batch branch) where files, batches and
fine-tuning are covered uniformly, not partially in this one endpoint. Filed
as a follow-up. This also removes the load-balanced-path ownership
inconsistency the bots flagged, since there is no ownership branch to skip.

Drop the inline comments flagged against the no-comments rule; behavior is
documented in the helper docstring and the test docstrings

* fix(proxy/batches): fail closed with 503 when the managed-file lookup errors

A lookup exception previously fell back to dispatching the unresolved
unified token, which defeats the fail-closed guarantee: the token still
reaches the provider and can hit the same publishers-segment IndexError
the resolution prevents. Treat a lookup error like the missing-row case
and fail closed, but with a retryable 503 since the condition is
transient. No-database and no-storage_url rows still fall back unchanged

---------

Co-authored-by: htourinho-clgx <htourinho@cotality.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-07-24 17:29:38 -07:00
Yuneng Jiang
2a50b3a087
Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_/litellm-logs-ui-lag-0ca4b8 2026-07-24 17:28:22 -07:00
Yuneng Jiang
44f571a8aa
fix(logs): keep the End User filter window in step with the logs table
Two issues Greptile raised on the filter window and the capped scan.

A preset date range ends at "now", which the logs query re-reads on every
fetch, so live tail keeps moving the table's end bound. The filter window
was memoized on the date controls alone, so it pinned whichever "now" it
was first built with: an end user that started sending traffic afterwards
showed up in the table but stayed missing from the dropdown until
something remounted it.

formatLogsWindow now takes the preset end bound as an argument, and
getLogsWindowEndBound derives it from the logs query's last fetch, rounded
up to the next minute. Rounding up rather than down means the filter window
never trails the table; bucketing means the query key holds steady between
ticks instead of churning once per render. The panel reads it from
logsQuery.dataUpdatedAt so it advances exactly when the table refreshes,
falling back to the stored end time before the first fetch. Deriving it
from Date.now() during render is what the purity rule forbids.

The capped inner scan ordered by startTime alone, so rows sharing a
timestamp could be cut differently between two requests and successive
OFFSET pages would disagree about the set they were paging through.
request_id now breaks the tie, which the (startTime, request_id) index
already covers.

Drift from rows genuinely arriving inside the window between page fetches
is left alone. Removing it means keyset pagination over the distinct set,
which cannot keep the inner row cap, and that cap is what stops this
query from degrading into a full scan of LiteLLM_SpendLogs.
2026-07-24 17:28:17 -07:00
Tin Chi Lo
26f6ff24d8 fix(proxy): cap tool spend window at 30 days and bound every SpendLogs read
GET /v1/tool/spend aggregated LiteLLM_SpendLogToolIndex joined to
LiteLLM_SpendLogs with a start_time-only predicate the composite
(tool_name, start_time) index cannot serve, and the dedup total query
left the outer SpendLogs scan unwindowed, so every dashboard load
walked both per-request tables end to end.

- clamp the window to the most recent 30 days ending at end_date; the
  response start_date reflects the effective window and the dashboard
  notes the clamp
- index SpendLogToolIndex on start_time (all schema copies + migration)
- window the SpendLogs side of both queries (1s margin: the two writers
  can disagree by ~1ms on the same request)
- expire SpendLogToolIndex rows on the spend-log retention cutoff via a
  parametrized batch-delete engine shared with the SpendLogs cleanup

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-24 17:24:24 -07:00
mateo
f68abdc861 chore: merge litellm_internal_staging into litellm_fix_responses_bridge_streaming_contract
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-25 00:20:31 +00:00
shivam
d2a5de2e04 refactor(caching): tighten anthropic messages cache types and drop comments
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-25 00:15:55 +00:00
yucheng-berri
76b0b10908
fix(guardrails): add /v1/messages support for Straiker plugin (#34548)
* fix(guardrails): add /v1/messages support for Straiker plugin

- Pass prepared response data to Anthropic Messages streaming post-call hooks (litellm/llms/anthropic/chat/guardrail_translation/handler.py)
- Normalize Straiker request, tool, finish-reason, and mode fields across Chat Completions, Messages, and Responses APIs

* fix(guardrails): gate cross-surface message resolution and cover streaming request data

Resolve request messages only for surfaces that have a mapped translation
handler. The unguarded fallback tried every registered handler in turn, which
raised AttributeError out of the guardrail's error handling on list-shaped
`input` bodies, and synthesized a chat message that was never sent for bodies
it happened to parse.

Prepare request data on the mid-stream Anthropic branch as well, matching the
terminal branch and the OpenAI handler, so guardrails that scan before
end-of-stream still receive identity metadata.

Read usage from Anthropic dict responses so non-streaming /v1/messages reports
token counts instead of null.

Add regression coverage for the streaming request data on both the terminal and
mid-stream branches; reverting either now fails.

---------

Co-authored-by: cs-mehta <chandra@straiker.ai>
2026-07-24 17:13:11 -07:00
Mateo Wang
cfb7edb54e
Merge pull request #34549 from BerriAI/litellm_fix_stream_options_responses_api
fix(responses): strip include_usage from stream_options instead of dropping the param
2026-07-24 17:12:26 -07:00
shivam
ab997e04eb fix(caching): cache anthropic /v1/messages responses, including streaming
anthropic_messages was missing from the cache's supported call types, so every /v1/messages request went to the provider. Adding it alone is not enough: the cache key is built from the OpenAI-ish param set, which has no system, top_k or stop_sequences, so two requests differing only by system prompt shared an entry and the second got the first one's answer. The Anthropic Messages request shape now feeds the key set as well.

Streaming responses return to the caller before async_set_cache runs, so they are teed on the way out and the SSE events are stored verbatim once the stream reaches message_stop without a provider error. A hit replays those bytes and logs the request as a cache hit with zero cost.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-25 00:09:21 +00:00
Tin
3489e650da fix(mcp): use a toolset row's stored tool name as written
A toolset row is {server_id, tool_name}. The server is already identified by
server_id, so the stored name is the tool's own name and there is nothing for a
prefix to disambiguate. Resolution nevertheless reduced the stored name by the
server's wire prefix, which is a guess about a string that carries no such
marker.

The wire prefix is added on the way out and is not part of any tool's identity,
so when a native tool name happens to begin with it the guess renamed the tool:
a row for greyhound_internal_events on a server prefixed greyhound resolved to
internal_events. That is a different tool on the same server, so the selected
tool disappeared from /toolset/<name>/mcp and an unselected sibling was served,
and executed, under the selected tool's wire name. Toolsets are the tool-level
permission boundary, so the row granted access to something never selected.

Match the stored name as written and keep stripping the prefix off the live name
only. This is the only producer that rewrote allowlist values; every other one
stores what the admin typed, so the tools/list filter, the tools/call permission
check, the REST listing and the Responses API path are all corrected without
touching them.

A row that stores an already-prefixed name no longer resolves. Such a row names
a tool that does not exist on the server, and the dashboard has never written
one; it was only ever accepted because of the guess this removes.
2026-07-24 17:06:08 -07:00
tin-berri
842f32dbaa
Merge pull request #34458 from BerriAI/litellm_lit4759_guardrail_metadata_bucket
fix(guardrails): keep guardrail information in spend logs when the caller sends its own metadata
2026-07-24 17:02:48 -07:00
Shivam Rawat
a9e7decd09
Merge pull request #34547 from BerriAI/litellm_fix_chat_completions_missing_messages_400
fix(proxy): return 400 instead of 500 for chat completions without messages
2026-07-24 16:56:13 -07:00
tin-berri
d389f837ae
Merge pull request #34411 from BerriAI/litellm_lit4650_passthrough_guardrail_log
fix(guardrails): stop reporting a no-op guardrail as applied on passthrough
2026-07-24 16:52:46 -07:00
mateo-berri
6ff88ba5e9 fix(responses): strip include_usage from stream_options instead of dropping the param 2026-07-24 16:46:49 -07:00
Tin Chi Lo
9bd89290cb fix(guardrails): derive tokens_saved when Headroom compression service omits it
The savings readers (extract_compression_saved_tokens, feeding
compression_saved_tokens on the daily spend tables) key exclusively on
tokens_saved in the guardrail_response stats, but the Headroom guardrail
builds those stats as a filtered pass-through of the compression service
response and the live service omits tokens_saved. Every compressed request
recorded 0 saved tokens on the Cost Optimization dashboard.

Derive tokens_saved = tokens_before - tokens_after when the key is absent
and both operands are numeric; a service-sent value still wins. The two
sibling writers (compresr, native compression interception) already derive
it the same way.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-24 16:44:00 -07:00
Tin Chi Lo
9777e9524a fix(guardrails): stop reporting a no-op guardrail as applied on passthrough
On passthrough requests the shared guardrail plumbing still dispatches
headroom's pre_call apply_guardrail, but the passthrough translation hands it
only `texts` and no `structured_messages`, so it early-returns a no-op. The
@log_guardrail_information decorator then synthesized an "allow"/"success"
StandardLoggingGuardrailInformation entry, and the unified hook added the
guardrail to applied_guardrails, so spend logs reported the compression
guardrail as succeeded even though nothing ran.

Add a records_own_guardrail_information flag for guardrails that log their own
execution (headroom). The decorator skips the synthetic success entry for them,
and the unified hook lists such a guardrail in applied_guardrails only when it
actually recorded a run. A guardrail that owns its logging must record every
outcome it runs, so headroom now records a guardrail_failed_to_respond entry on
the fail_open path (compression attempted, service unreachable, request
forwarded uncompressed) instead of leaving it unlogged; fail_closed is still
recorded by the decorator's error path, and a genuine no-op stays not_run.
2026-07-24 16:29:29 -07:00
yuneng-jiang
3eaf7b1c0a
Merge pull request #34573 from BerriAI/litellm_/key-activity-missing-c5383e
Some checks are pending
CodSpeed Benchmarks / benchmarks (push) Waiting to run
UI Unit Tests / ui-unit-tests (push) Waiting to run
GitHub Actions Security Analysis / zizmor (push) Waiting to run
fix(ui): keep entity usage tabs aligned with their panels
2026-07-24 16:25:29 -07:00
yuneng-jiang
7047a37f2f
Merge pull request #34475 from BerriAI/litellm_/test-coverage-mutation-analysis-e42223
test: remove tests that mutation analysis proved assert nothing
2026-07-24 16:23:34 -07:00
Yuneng Jiang
12bd6b5e5b
Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_/litellm-logs-ui-lag-0ca4b8 2026-07-24 16:21:50 -07:00
Yuneng Jiang
44b95bbfcb
fix(logs): scope the End User filter to the caller's teams and bound its scan
The End User filter listed every row of LiteLLM_EndUserTable, which is both
unscoped and the wrong source. Team admins and internal users can open the
Logs page, and their log view is already restricted to their own requests
plus the teams they administer, but the filter dropdown offered them every
end user on the proxy.

Team attribution only exists on spend logs, so /customer/aliases now reads
LiteLLM_SpendLogs and applies the same scoping /spend/logs/ui does: a proxy
admin sees the whole window, everyone else sees ("user" = caller OR team_id
IN permitted_teams), reusing _get_permitted_team_ids_for_spend_logs so the
two paths cannot drift. A caller with neither matches FALSE rather than
falling through to unscoped, and a failed team lookup degrades to
own-rows-only.

Querying spend logs safely is the other half. start_date/end_date are now
required, so the query always has the indexed startTime bound, and the
inner scan is capped at MAX_SPENDLOG_ROWS_TO_SCAN_FOR_FILTERS rows ordered
by startTime DESC. DISTINCT therefore runs over a bounded row set instead
of the whole table the way /global/all_end_users does.

Also adds /customer/aliases to spend_tracking_routes. Without it RouteChecks
rejects INTERNAL_USER and INTERNAL_USER_VIEW_ONLY before the handler runs,
which would have made the scoping above dead code; a test pins the route to
the same access tier as /spend/logs/ui.

The dropdown now shows the end users present in the window the table is
showing, so the filter list matches what it filters. formatLogsWindow is
shared with the logs query so the two windows cannot diverge.
2026-07-24 16:21:46 -07:00
Tin Chi Lo
770f41b5fa fix(guardrails): keep guardrail information in spend logs when the caller sends its own metadata
The guardrail-information writer picked its metadata bucket with a hand-rolled
precedence that preferred a caller-supplied `metadata` field, while every reader
resolves the bucket through `get_metadata_variable_name_from_kwargs`, which
prefers `litellm_metadata`. The two rules agree only when the caller sends no
`metadata` of its own. Routes in `LITELLM_METADATA_ROUTES` seed `litellm_metadata`,
so on /v1/messages and /v1/responses a caller that sends `metadata` sent the entry
to a dict nothing reads; the spend log then reported `guardrail_status: not_run`
with no `guardrail_information` even though the guardrail ran and the
`x-litellm-applied-guardrails` header was present.

Give the resolver one owner. `get_or_create_metadata_bucket` moves from the proxy
layer into core_helpers next to the resolver it calls, so `litellm/integrations`
can reach it without a proxy dependency, and the byte-identical duplicate of
`get_metadata_variable_name_from_kwargs` in callback_utils is deleted. The writer
now shares that owner with `add_guardrail_to_applied_guardrails_header`, so the
response header and the spend log can no longer disagree.

Two readers had to move with it or the fix would be a no-op on the affected
routes. `_sync_guardrail_info_to_logging_obj`, which bridges request_data into the
spend-log payload for passthrough routes, picked the first truthy bucket, so a
non-empty caller `metadata` short-circuited it. The otel failure-path span reader
`_emit_guardrail_spans_from_request_data` read a hard-coded `metadata` key, which
also dropped the span whenever the entry lived in `litellm_metadata`.

Model Armor already resolved the bucket for its file-scan results but wrote its
text-scan and post-call results, and read them back in `_process_response`,
through a hard-coded `metadata` key; on a seeded route that split the record so a
file scan's evidence never reached the logger. All four Model Armor sites now use
the shared resolver. The unified guardrail hook seeds `litellm_metadata` on every
route, so the OpenAI moderation entry lands there too; spend-log output is
unchanged because `merge_litellm_metadata` reads both buckets.
2026-07-24 16:20:44 -07:00
mubashir1osmani
86a02f4f52
test(e2e): cover MCP access-group tool selection at key creation (#34480)
Enterprise MCP users mint virtual keys against tool access groups rather than
explicit server ids. Nothing exercised that end to end.

Registers the upstream MCP server tagged with a server-side access group
(mcp_access_groups), then mints one key granted that group and one granted a
different group. Asserts the granted key sees the tagged server's tools on
tools/list and the other key sees none, so access-group scoping can't leak the
server across the boundary.

Adds mcp_access_groups support to the e2e MCP client (server registration, key
generation, ObjectPermission) and the registry cell
mcp.list_tools.api_key.access_group_scoped.
2026-07-24 16:18:40 -07:00
tin-berri
166c443b4f
Merge pull request #34454 from BerriAI/litellm_dashboard_object_permission_generated_type
refactor(ui): derive the dashboard object_permission type from the generated schema
2026-07-24 16:18:07 -07:00
Yuneng Jiang
b9e922cee7
Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_/key-activity-missing-c5383e 2026-07-24 16:12:14 -07:00
ryan-crabbe-berri
79c5c169d8
feat(ui): migrate the Create Organization form to shadcn and react-hook-form (#34552)
* feat(ui): migrate the Create Organization form to shadcn and react-hook-form

* fix(ui): guard double submit, test escape-close reset, drop dead organizationCreateCall

* fix(ui): block org create dialog dismissal while a create is in flight

* fix(ui): render budget duration labels instead of raw values in the shadcn Select
2026-07-24 16:09:30 -07:00
Yuneng Jiang
3966fbf5ec
chore(ui): drop the unused antd table header sort dropdown
TableHeaderSortDropdown had no importers left; the shared DataTable's
DataTableSortHeader covers the same ascending/descending/reset menu on Base UI.
knip did not flag it because its own test file counted as a usage.
2026-07-24 16:08:35 -07:00
ryan-crabbe-berri
5f2c9a952d
fix(ui): bind key duration input to one Form.Item so pre-filled expiry submits (#34521)
* fix(ui): bind key duration input to one Form.Item so pre-filled expiry submits

The Create and Edit key forms kept the displayed expiry in a Tremor TextInput's
local state while the value actually submitted lived in a separate hidden antd
Form.Item. After the first create, form.resetFields() cleared the hidden field
but not the local state, so a second create showed a stale "1d" that was never
sent unless the user deleted and retyped it

Wrap the visible input in a real Form.Item (name="duration") inside
KeyLifecycleSettings and drop both hidden mirror fields plus the local
durationValue state, so what is displayed is always what is submitted. The
Regenerate key flow already used this pattern

* test(ui): restore custom rotation interval coverage in real-form harness

The KeyLifecycleSettings test rewrite dropped the custom interval branch:
selecting Custom interval, typing a value, propagation to the parent, and
hiding the input when switching back to a predefined interval. Cover it in
the real antd Form harness, asserting the parent-held rotationInterval state
instead of a mocked callback
2026-07-24 16:08:32 -07:00
Yuneng Jiang
9e56630347
refactor(ui): migrate routing groups table onto the shared DataTable
Rebuilds the Router Settings > Routing Groups table on the shared DataTable
and cell library, the last antd entity grid in the dashboard.

The table splits into a thin RoutingGroupsTable container plus
RoutingGroupsTableColumns, with the usage snippets moving to their own
RoutingGroupUsagePanel on ui/tabs and the shared CodeBlock instead of antd
Tabs and Paragraph copyable. Models render through the shared ModelsCell so
long lists collapse behind "+N more" rather than wrapping the row, and the
two inline icon buttons become a single overflow menu with Edit and Delete.

antd gave the snippet panel its own chevron column; under the shared pattern
a row has two click targets, the name cell and the overflow menu, so clicking
the group name now opens the panel. Column set, order, actions, and the
backend row order are otherwise unchanged.
2026-07-24 16:08:29 -07:00
Yuneng Jiang
3476240f11
fix(ui): keep entity usage tabs aligned with their panels
Tremor's TabPanels hands each child an index via React.Children.map, while
the selected index comes from HeadlessUI counting only real Tab elements.
An empty fragment, false, or null still consumes a panel index but
contributes no tab, so the team-only Agent Activity conditional made the
two lists drift for every non-team entity type: Key Activity resolved to
the empty slot and rendered nothing at all, and Endpoint Activity rendered
the key metrics

Drive both lists from a single tab array so adding or removing a
conditional tab touches one place and the indices cannot diverge
2026-07-24 16:07:23 -07:00
Tin Chi Lo
ba9f6d75d8 refactor(ui): derive the dashboard object_permission type from the generated schema
The dashboard declared the server-owned object_permission shape by hand
in five places, each with a different subset of fields and none matching
the OpenAPI schema. That is what hid LIT-4766: KeyResponse.object_permission
never declared mcp_toolsets, so a form that wrote the field without reading
it compiled cleanly and silently wiped the grant

Replace four of those copies with one alias over the generated
LiteLLM_ObjectPermissionTable. The agent shape stays separate because the
agent endpoint really does return a narrower type, so it points at its own
generated AgentObjectPermission
2026-07-24 16:05:52 -07:00
Yuneng Jiang
9f9714c209
test: remove five more zero-kill tests from test_http_handler
The http_handler pair only received its full mutation verdict after the
first removal batch landed; these five tests pass unchanged when every
function they execute is mutated and the owning file killed none of
their scored mutants. The ssl tests excluded from mutation scoring are
untouched.
2026-07-24 16:05:18 -07:00
Yuneng Jiang
5246de63e7
Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_/litellm-logs-ui-lag-0ca4b8 2026-07-24 15:56:39 -07:00
Yuneng Jiang
745f7ad163
perf(ui): back the logs End User filter with a paginated endpoint
Opening Logs > Filters fetched the entire customer table through
/customer/list, which is an unbounded find_many that eagerly loads the
budget and object-permission relations for every row. On a proxy with
61k customers that is a 20 MB, 7.6 s response; the dropdown then built an
option per row and rendered all of them, since the combobox does not
virtualize. The result was a multi-second freeze every time the drawer
opened.

Adds GET /customer/aliases, a projection of user_id alone with page/size/
search, mirroring /key/aliases. The End User field now uses
PaginatedSearchSelect behind an infinite query, the same shape the Key
Alias and Model filters already use, so it fetches 50 rows at a time and
pushes the typed query to the server.

The response reports has_more instead of a total count. A total needs
COUNT(*) over the whole match set on every keystroke, which is the cost
this endpoint exists to avoid; ordering by the user_id primary key and
fetching one row past the page lets Postgres stop early and still tells
the client whether to request more.

LIKE metacharacters in the search term are escaped, because end-user ids
routinely contain underscores and an unescaped one silently widens the
match.

Drops the now-unused accessToken prop threaded from RequestLogsPanel
through RequestLogsTable into the filters.
2026-07-24 15:56:34 -07:00
tin-berri
57ed2ed718
Merge pull request #34452 from BerriAI/litellm_lit4766_key_edit_mcp_toolsets
fix(ui): keep a key's MCP toolsets when saving an edit
2026-07-24 15:38:33 -07:00
Yassin Kortam
7263aa0028
fix(otel): keep an MCP tool call in one trace, anchored to its own request (#34537)
Under otel_v2 a single MCP tool call surfaced in APM as two disconnected
traces joined only by a span link: the HTTP transport transaction
POST /{mcp_server_name}/mcp and the tools/call span carrying
error.type=MCPToolResultError. resolve_mcp_span_context parented the MCP
span to the W3C trace context the client propagates in params._meta
(SEP-414) and recorded the transport as a link, so with no traceparent
propagated (the common case today, including MCP Inspector) the span
started its own root trace.

Nest the MCP span under the transport span when nothing is propagated, so
the call stays in one trace; the propagated-context path is unchanged and
still parents to the remote context and links the transport per the OTel
GenAI MCP semconv.

The transport has to be resolved per message rather than read from the
request-root ContextVar. A stateful streamable-HTTP session runs every
message on the single task the session's initialize POST spawned, so that
ContextVar is frozen at initialize inside the handler: live capture on
staging showed the tools/call span linking the initialize POST rather than
the POST that carried it, and nesting on that anchor would hang every tool
call of a session off the first request's already-ended span. The gateway
now resolves the current request's span on the ASGI task and carries it to
the handler on the authenticated-user object, the same way per-request auth
already crosses that boundary.
2026-07-24 15:11:00 -07:00
yucheng-berri
61d32c9aac
fix: handle explicit outputInfo: null in Vertex AI batch response (#34473)
* fix: handle explicit outputInfo: null in Vertex AI batch response

Vertex AI can return HTTP 200 for a create_batch/get_batch call with an
explicit "outputInfo": null body (the output directory is assigned
asynchronously and may not be populated yet at response time).

_get_output_file_id_from_vertex_ai_batch_response did:

    response.get("outputInfo", OutputInfo()).get("gcsOutputDirectory", "")

dict.get(key, default) only substitutes default when the key is absent,
not when it is present but explicitly None, so this crashed with:

    AttributeError: 'NoneType' object has no attribute 'get'

surfaced to callers as an opaque openai.InternalServerError 500 from
litellm.create_batch()/retrieve_batch() for any Vertex AI batch job,
regardless of whether the job ultimately succeeds.

Fixed by guarding with `response.get("outputInfo") or OutputInfo()`,
matching the existing null-safe pattern already used by the sibling
_get_input_file_id_from_vertex_ai_batch_response for inputConfig. The
existing outputConfig fallback branch (a few lines below) already
handles this case correctly once it's reachable - it just never was.

Added 2 regression tests covering outputInfo: null with and without an
outputConfig fallback available.

* test: drop explanatory comment from regression test

---------

Co-authored-by: htourinho-clgx <htourinho@cotality.com>
2026-07-24 15:10:16 -07:00
shivam
e6b5511dcf test(cost_map): cover root map in the Foundry Claude context matrix
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-24 22:09:18 +00:00
Tin Chi Lo
2ccdb0896d feat(mcp): send RFC 8707 resource indicators on upstream OAuth legs
The gateway acts as an MCP client toward upstream MCP servers, and the MCP
authorization spec requires an MCP client to send the RFC 8707 resource
parameter on both the authorization request and every token request. The
gateway sent it on none of its upstream OAuth legs, so an authorization server
that requires resource indicators rejected the exchange with invalid_target
with no way to configure around it.

Authorization servers disagree irreconcilably and nothing advertises which
camp they are in, so this is a per-server opt-in rather than a default: most
providers ignore the parameter, some hard-reject it and carry audience in
scopes instead, and strict or MCP-native ones refuse to mint a correctly
scoped token without it. The new upstream_resource setting is unset by
default, which keeps today's requests byte-identical.

Both outbound OAuth stacks resolve the value from the server exactly once and
carry it structurally rather than attaching it per call site. In v1 every
plain-OAuth2 token leg builds its body through one helper that resolves the
resource in the same call as the mandatory client authentication; in v2 the
adapter, the single place an MCPServer becomes an outbound config, resolves it
onto the client_credentials config that the HTTP/SSE M2M path uses, and it
joins the config's mint identity so retargeting a live server refreshes the
token rather than serving the previous audience's. A leg cannot authenticate
without also naming the resource its sibling legs named, which is what an
attach-per-call-site approach kept getting wrong.

The setting is non-secret admin config sharing a blob with real secrets, and
the backend classifies which key is which rather than nulling the blob
wholesale or gating on its truthiness: redaction returns admin config to an
admin, session inheritance ignores it when deciding whether a real credential
was supplied and carries it onto the derived server, and the edit form renders
the same shared OAuth component as create so the field exists on both, an
emptied field submitting an explicit null that the credential merge drops.
2026-07-24 15:01:38 -07:00
shivam
593b12dc56 fix(azure_ai): advertise 1M context window for Claude Opus 4.6+ on Foundry
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-24 21:53:12 +00:00
shivam
a376f72400 fix(responses): stop treating stream_options as a Responses API param
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-24 20:53:05 +00:00