The semantic tool filter builds its index by listing every MCP server
without per-user credentials, so servers needing per-user auth
(interactive OAuth tokens, user-scoped env vars) reject the anonymous
tools/list and contribute zero routes. Request-time expansion resolves
that auth, so filter_tools received tools the router could never
select: an empty index failed open N->N (past 128 tools OpenAI rejects
the request outright) and a partial index matched only unavailable
tools, stripping every tool from the request.
filter_tools now syncs missing tools into the router before matching
(building the router when absent) behind an asyncio lock so each tool
embeds once, and falls back to the full tool list when matches map to
no available tool, consistent with the zero-match fallback.
Context-window overflows keep failing closed.
An empty upstream delta (e.g. Bedrock Converse's empty reasoning delta
mid-thinking-block) falls through the translate fallback as
text_delta {"text": ""} at the open thinking block's index, crashing
Anthropic SDK clients like Claude Code with "Content block is not a
text block". Payload-less deltas carry no information, so never emit
them.
* feat(guardrails): support streaming text transformation in generic_guardrail_api
* chore(guardrails): address PR review feedback
* fix(guardrails): fail closed on tool-call and prefix-rewrite leaks in streaming transform
* fix(guardrails): address Bugbot review on streaming transform correctness
* fix(guardrails): coerce holdback in handler for in-process guardrails
* fix(guardrails): harden streaming transform (holdback coercion, tool-call passthrough, n>1 finish_reason)
* test(guardrails): targeted _mode_matches coverage for all guardrail_mode shapes
* fix(guardrails): inspect streamed tool calls and harden incremental_diff edge cases
* test: move ComplianceChecker mode tests to the compliance PR
* fix(guardrails): strip content from tool-call passthrough so streamed text can't bypass the transform
* fix(guardrails): four correctness fixes for incremental_diff streaming path
Four bug fixes on top of the OSS PR's incremental_diff streaming text
transformation, all inside the incremental_diff code paths only. No
existing block_only, non-streaming, or pre_call behavior is touched.
Fix#1 — Mixed content+tool_call finish_reason ordering
_tool_call_passthrough_chunk now takes an optional finish_reason_per_choice
map. For a choice carrying both delta.content and delta.tool_calls,
finish_reason is stripped from the passthrough and recorded on the map so
the final synthetic text chunk delivers it. Without this, SSE-compliant
clients stopping at finish_reason drop the guardrailed text — defeating
the redaction the whole feature exists for. (Greptile P1 twice, Veria.)
Fix#2 — Choice index sort in _process_streaming_transform
indices/texts_to_check were derived from dict insertion order. For n>1
streams where choice 1 emits before choice 0, guardrail-returned texts
aligned to the input order mapped back to the wrong choice indices on
write-back — wrong text goes to wrong choice. Sort raw_by_index.keys()
up front so realignment is deterministic. (Bugbot Medium.)
Fix#3 — Cross-chunk pre-tool-call text flush
With default streaming_sampling_rate=5, text chunks followed by a pure
tool-call chunk carrying finish_reason='tool_calls' would emit the
passthrough with finish_reason before any transformed text delta had
fired. Same failure mode as fix#1 but cross-chunk. Now we flush any
accumulated text via _round(is_final=False) BEFORE yielding the
tool-call passthrough. (Greptile P1.)
Fix#4 — Terminator chunk for deferred finish_reason on empty mutated_text
_build_transform_chunk returned None early when mutated_text_per_choice
was empty. If a mixed content+tool_call chunk had deferred its
finish_reason (via fix#1) and the guardrail then suppressed the text
(empty return), the deferred finish_reason was never delivered. Now on
is_final=True with empty mutated_text_per_choice, we emit a terminator
carrying finish_reason per choice from finish_reason_per_choice.
(Bugbot High.)
Also normalized Optional[X] → X | None across the OSS PR's added surface
via ruff UP045 autofix to keep the strict-rule gate within budget. Pure
mechanical typing style change, no semantic effect.
Regression tests for all four fixes:
- test_mixed_chunk_finish_reason_arrives_after_transformed_text (#1)
- test_text_flush_precedes_tool_call_passthrough (#3)
- test_final_finish_reason_flushed_when_guardrail_suppresses_text (#4)
- test_transform_sends_texts_sorted_by_choice_index (#2)
All fixes reachable only when streaming_transform_mode == 'incremental_diff'
is configured (via _run_incremental_transform_stream) or when a
StreamTransformSink is present (via _process_streaming_transform). Verified
scope-clean: no changes to block_only, non-streaming, pre_call, moderation,
or sibling guardrails.
---------
Co-authored-by: Marton Schneider <marton@schneider.co.nl>
With enable_jwt_auth enabled but no enterprise license (premium_user
False), the JWT premium check fired on every request before the token
was inspected, so the master key, sk- virtual keys, and the encrypted
CLI/UI SSO session token that `lite login` issues all 401'd with "JWT
Auth is an enterprise only feature" and were never decoded. That broke
`lite login`, `lite claude`, and the proxy master key on any deployment
that turned JWT auth on without a license.
Move the premium check inside the is_jwt branch so it gates only real
JWTs. Non-JWT credentials fall through to their own auth paths
regardless of license; actual JWTs still require premium, so the
enterprise gate is unchanged for the feature it protects.
grok-4.3 is a third-party frontier model on Bedrock Mantle, served on the
/openai/v1 base (like gpt-5.x and gemma-4), not the standard /v1 path used by
open-weights models such as gpt-oss. #31916 added the model without
use_openai_responses_path, so mantle_base_segment() routed it to /v1, where
Bedrock rejects the call with "Berm is not enabled for this account"
(access_denied) — the model is only reachable on the frontier /openai/v1 path.
Add use_openai_responses_path=true to the bedrock_mantle/xai.grok-4.3 price-map
entry (both model_prices_and_context_window.json and the backup) so
mantle_base_segment() returns "openai/v1", and update the registry test to
assert use_openai_path is True.
The rate-limited batch spend test snapshotted unattributed rows via the
unpaginated /spend/logs whole-table read, which grows with the environment
(58MB on stage) and OOMKilled the e2e runner at its 512Mi limit on every
scheduled run. Gateway.spend_logs_window pages /spend/logs/v2 over an
explicit date window instead, and SpendLogsParams now rejects a filterless
read so the whole-table call cannot come back
* fix: enforce user budget on team keys
User budget was skipped when the key belonged to a team, letting
users exceed their personal budget by going through a team key.
Remove the team_object guard in _user_max_budget_check so user
budgets are always enforced. Add skip_user_budget_on_team_key
general_settings flag to opt back into the old behavior.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix: update test to expect user budget enforcement on team keys
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): enforce user budget on team keys in reservation path and expose skip flag in UI
Extends the read-time fix so the optimistic budget reservation also reserves the user spend counter for team-scoped keys, register skip_user_budget_on_team_key in ConfigGeneralSettings so /config/field/update accepts it, and surface it as a Boolean toggle on the Admin UI General Settings table via allowed_args in /config/list.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test: assert budget_exceeded ProxyException in personal budget test
Tighten the broad pytest.raises(Exception) so the test only passes when
the auth flow rejects with a budget_exceeded ProxyException, and switch
the new ConfigGeneralSettings field to Optional[bool] to match the
surrounding annotation style
* fix: revert to bool | None to stay under UP045 strict budget
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@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>
* fix(anthropic/passthrough): drop temperature and cap thinking budget when downgrading adaptive thinking for pre-4.6 models
* test(anthropic/passthrough): use sufficient max_tokens for reasoning_effort thinking mapping
* fix(anthropic/passthrough): drop incompatible temperature when downgrading adaptive thinking for pre-4.6 models
Narrow the fix to the temperature reconciliation; the reasoning_effort
budget cap is reverted because the live translation grid relies on
budget_tokens >= max_tokens to reject unsupported effort tiers
(xhigh/max) on budget-mode models, so capping turned those 400s into
200s.
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
discoverable_endpoints.py had grown to 2695 lines mixing FastAPI route handlers with the dcr_bridge token-flow logic, against the no-monster-files convention. This moves the bridge token flow (the litellm-key/user resolution, the SCIM revalidation gate, and the mint/refresh envelope logic with their types and error mappers) into a dedicated bridge_token_flow.py, leaving the route handlers and the shared exchange_token_with_server orchestrator in discoverable_endpoints.py importing from it
Pure relocation, zero behavior change. The moved code is byte-verbatim except one type annotation quoted as a forward reference (_BridgeAuthorizationCode is used only for typing and imported under TYPE_CHECKING to avoid a cycle), and the new module imports nothing from discoverable_endpoints at runtime. 275 tests pass unchanged; the test patch targets for moved internals were repointed to the new module and verified to still apply
* test(e2e): OTEL trace completeness on /v1/messages
Extends the LIT-3787 trace-completeness suite to the Anthropic-native route:
one successful non-streaming /v1/messages call must land at the destination as
ONE connected trace (root SERVER span + auth/db/cost children + gen-AI CLIENT
span, no dangling parents). Adds the raw /v1/messages sender to the logging
suite client.
* test(e2e): reuse the shared AnthropicMessagesBody per review
Drops the duplicate /v1/messages request model in favor of the one models.py
already provides (budget_client uses the same one), passes max_tokens at the
call site to match the sibling chat test, notes in the docstring why the
gen-AI span is named chat on this surface, and adopts the hardened read-back
signature
* test(e2e): author the messages trace test docstring
* test(e2e): declare the messages surface on the covers marker
* test(e2e): otel trace completeness on /v1/responses (#33134)
* test(e2e): OTEL trace completeness on /v1/responses
Extends the LIT-3787 trace-completeness suite to the OpenAI Responses API
route: one successful non-streaming /v1/responses call must land at the
destination as ONE connected trace. Adds the raw /v1/responses sender, a
CHEAP_OPENAI_MODEL config constant, and registers responses in the otel
registry cell's exercised_on.
* test(e2e): author the responses trace test docstring
* test(e2e): declare the responses and chat surfaces on the covers markers
get_group_ids_from_service_principal only read the first page of the
Graph API appRoleAssignedTo response, so tenants with more than 100
groups assigned to the enterprise application silently lost group
memberships during SSO login. Loop over @odata.nextLink with the same
MAX_GRAPH_API_PAGES cap that get_user_groups_from_graph_api already
uses, and warn when the cap is hit.
Ported from #32792 by @saisurya237 so CI can run.
Fixes#32790
Co-authored-by: saisurya237 <saisurya.abhishek237@gmail.com>
* test(e2e): OTEL trace completeness on /chat/completions against a local Jaeger destination
Adds the logging-suite infrastructure for LIT-3787 trace-completeness coverage:
a jaeger service in the compose stack as the OTEL v2 destination (arize_phoenix
preset pointed at it via PHOENIX_COLLECTOR_HTTP_ENDPOINT, so gen-AI spans export
through a preset-owned provider - the code path where trace splits happen), a
typed Jaeger query read-back client, and the first test: one successful
non-streaming /chat/completions call exports ONE complete trace (root SERVER
span + auth/db/cost children + gen-AI CLIENT span, no dangling parents).
* test(e2e): harden the otel trace read-back per review
Jaeger reads now query server-side by the litellm.call_id span tag instead of
paging recent traces and filtering client-side; the compose stack's background
jobs alone can push a request trace past the page. A failed query hard-fails
instead of reading as an empty result, the settle predicate now also waits for
the prefix-matched db span the assertion demands, parent-chain walking follows
CHILD_OF references only, the zero-trace and split-trace failures get distinct
messages, jaeger gets a healthcheck so the depends_on condition is accurate,
and the chat docstring names the route the code actually asserts
* test(e2e): author the chat trace test docstring
* Update logging section in CLAUDE.md
Removed mention of OTEL trace-tree completeness from logging integration section.
* feat(router): opt-in session affinity for complexity router
Complexity router reclassified every turn, which could flip the routed
model group mid-session and break provider-side prompt caching. Add a
session_affinity config flag: when a session_id is resolvable, pin the
model chosen on the first turn and reuse it for the rest of the session,
skipping reclassification. Pinned turns still stamp the adaptive
bandit's chosen-model metadata so reward feedback keeps working when
adaptive=True.
* fix(router): refresh session-affinity TTL on hit, scope pin by API key
Two issues from review: the TTL was only set on the first classification,
so an active session outliving session_affinity_ttl_seconds silently lost
its pin instead of refreshing as documented. And the cache key was scoped
only by session_id, which is client-supplied and unauthenticated, so two
different callers reusing the same session_id could poison each other's
routing pin. Refresh the TTL on every cache hit, and namespace the cache
key by the proxy-derived API key hash when available.
* fix(ui): derive key model scope so SCIM/management/read-only keys stop showing 'All Proxy Models'
key_type is not persisted on a key (the proxy maps it to allowed_routes and
drops it), so the keys tables only inspected the models list and rendered
'All Proxy Models' for any key with an empty models array, including SCIM,
Management and Read-only keys that cannot call a single model.
Add deriveKeyModelScope(allowed_routes) and render 'No model access' with a
scope tooltip for those recognized scopes; unrestricted, AI-API and custom
keys keep the existing model-list rendering.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(ui): move key_scope helper to components root
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(keys): persist key_type on virtual keys so the UI reads scope directly
Add a nullable key_type column to LiteLLM_VerificationToken (root, proxy,
and proxy-extras schemas plus an additive migration) and stop dropping the
value in handle_key_type, so management/read_only/llm_api/default keys store
their type alongside the derived allowed_routes. Surface it on the key read
and create response models. The dashboard now prefers the persisted key_type
for the no-inference buckets and keeps the allowed_routes derivation as the
fallback for keys created before the column existed (key_type null), so no
backfill is required.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(keys): use PEP604 X | None for new key_type annotations to satisfy ruff UP045 budget
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(keys): add key_type column to LiteLLM_DeletedVerificationToken
The deleted-token archive model inherits key_type from the verification
token, so regenerate/delete flows write key_type into
LiteLLM_DeletedVerificationToken. Add the column (all schemas + migration)
so the archive insert does not fail with FieldNotFoundError.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(migrations): regenerate key_type migration via runbook (canonical ADD COLUMN)
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: ryan <ryan@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The refresh-envelope helpers merge cleanly alongside the faults package. The upstream invalid_grant
special case for bridge refreshes moves inside the post-call except branch (its old location after a
second raise_for_status would be unreachable under the call-time-raise structure this branch
introduced) and now keys off the classified fault; _upstream_oauth_error is dropped since the
classifier already parses the RFC 6749 error field with total accessors
Extends the fault matrix per review: server_error and temporarily_unavailable are codes by which the
upstream blames itself, so they classify as a new UpstreamReportedFault arm rendering 502/503 with a
matching wire code instead of a 400 that blames the caller; invalid_target is a gateway capability
gap (RFC 8707 resource indicators, LIT-4339) and is gateway-blamed regardless of whose credentials
were presented; the DCR classifier shares the same blame assignment. The gateway-fault arm is renamed
GatewayRejected since it now covers capability gaps as well as stored-credential rejections
The bridge refresh path decided whether an upstream token-endpoint rejection was invalid_grant by substring-matching the raw response body, so a rejection whose actual error is something else but whose error_description merely contains the string invalid_grant would false-match, map to invalid_grant, and trigger a needless authorization_code re-run
Parse the RFC 6749 section 5.2 error object and compare the error field. A non-JSON body, or an error that is not invalid_grant, now propagates as the upstream error rather than being reinterpreted. The regression test drives an invalid_client rejection whose description contains the string invalid_grant and asserts it is not mapped, mutation-checked against the substring match
Replaces the accreted relay helpers with a faults package (types, classify, render_oauth): every
upstream token/DCR rejection is classified into exactly one fault value and the response status,
wire error code, and prose are all derived from that value, so a caller-fault code can never ship
on a server-fault status (the bugbot finding on invalid_grant over a 500). Classification takes the
credential source into account: invalid_client and friends against the server's stored credentials
are the operator's fault and render as 502 server_error with gateway-authored prose while the IdP's
prose stays in server logs; the same codes against caller-supplied credentials relay on the status
the code implies. Classifiers are total, so an unreadable rejection body (lying content-encoding,
unconsumed stream) yields the same 502 fault instead of resurrecting the opaque 500 (the second
bugbot finding); DCR rejections normalize to 400 per RFC 7591 regardless of the upstream's status
The prior fix sent the sealed scope on a refresh, but the re-minted refresh envelope re-seals scope from the upstream response, and RFC 6749 section 5.1 lets an upstream omit scope when it is unchanged. So after one refresh whose response omitted scope, the new envelope sealed scope=None and every subsequent refresh dropped it, letting a stricter upstream narrow the renewed token
When the upstream omits scope on a bridge refresh, seal the scope we requested (which RFC 6749 section 5.1 defines as the granted scope when omitted) into the renewed access and refresh envelopes, so the scope survives the whole refresh chain. The regression test refreshes against an upstream that omits scope, asserts the new refresh envelope still carries it, and refreshes again off that envelope to prove the chain does not lose it, mutation-checked
The refresh envelope seals the upstream scope as the scope to re-request (RefreshCredential), but _prepare_bridge_refresh dropped it, unwrapping only the refresh token, and the exchange added scope to the upstream request only from the client's HTTP form. A DCR/MCP client typically omits scope on refresh, so the sealed scope was never sent and a stricter upstream could narrow or drop the renewed token's scope
Thread the sealed scope through _BridgeRefreshReady.upstream_scope and fall back to it when the client sends none; a client-supplied scope still wins, which RFC 6749 section 6 bounds to the original grant. The regression test drives a refresh where the client omits scope and asserts the upstream POST carries the sealed scope, mutation-checked against both the drop and the fallback
The token and DCR relays serve unauthenticated OAuth clients, so only the RFC 6749/7591 error fields may cross the trust boundary. A rejection body outside those contracts (HTML error page, proxy banner, stack trace) is now logged server-side, bounded, and the client response names only the upstream status. Addresses the Veria information-exposure finding
