Two more provider-bound shapes, found by walking the request types rather
than waiting for them to be reported.
/v1/messages carries its system prompt at the top level, as a string or a
list of text blocks. It is one of the endpoints this guardrail claims to
cover, and a system prompt is a natural place to put a customer's details.
`input` as an array of bare strings, the embeddings and moderations shape,
was skipped because the loop only handled item dicts.
Verified against a live provider: a system prompt holding an address now
reaches the model as a stand-in and is restored in the reply.
Two more provider-bound request shapes were reaching the model intact while
the guardrail reported as enabled.
/v1/completions carries its text in a top-level `prompt`, which the
traversal never looked at. It is handled as a string and as the array form,
where each entry is rewritten in place.
Responses input items hold tool data outside `content`: a function_call item
in `arguments`, a function_call_output item in `output`. Both are now
collected alongside the item's content.
Adds a test per shape.
The vault id was taken from caller-supplied session metadata, and every
caller shares one LLM Shield key. Someone who knew or guessed another
caller's session id could send a placeholder, have the model echo it back,
and get that caller's plaintext restored into their own reply.
Vault ids are now minted per request behind a per-process prefix, so a
caller cannot name a vault this process uses. Redaction mints, restoration
reads back, and a reply whose id does not match is left holding its
placeholders rather than resolved against some other vault.
Also covers two more request fields that were reaching the provider intact:
the Responses API `instructions`, and the legacy `function_call.arguments`
alongside `tool_calls`.
The collectors move to module level, which drops the traversal back under
the complexity limit and lets the code carry its own explanation instead of
the comments that were restating it.
basedpyright could not prove the delta was non-None on the write path, and
reportOptionalMemberAccess has a zero budget. The guard is also clearer than
relying on the text check to imply it.
Three gaps, all of which let an enabled guardrail hand data to the provider
or hand placeholders to the caller.
Requests only walked `messages`. The Responses API `input` and tool call
`arguments` went out untouched. Measured against a live provider: a request
sent through `/v1/responses` reached the model with the real address in it
while the guardrail reported as enabled. Request traversal now covers chat
content (string and multimodal), tool call arguments, and `input` as a bare
string or a list of items.
Fixing that exposed the matching gap on the way back: the Responses API reply
carries `output` items rather than `choices`, so it returned to the caller
still holding placeholders. It now gets its own walk, handling text blocks as
dicts or objects.
The dashboard preset seeded only pre_call, so a guardrail created from the UI
would redact the request and return the placeholders to the user. Presets can
now seed both modes; the form already normalised either shape.
Adds tests for each request shape, for both Responses API reply forms, and
replaces a test that had asserted the `input` bypass as correct behaviour.
The /v1/messages reply is a plain dict with a content block list and no
choices, so it fell through the restore path and went back to the caller
still carrying placeholders. The request was redacted correctly, which is
what made this easy to miss.
Found by running all three endpoints against a live provider; the mocked
tests all passed because they only built the OpenAI shape. Adds tests for
the message shape and for leaving non-text blocks alone.
Shows both modes on one entry. Listing only pre_call redacts the request
and then hands the placeholders back to the end user, so the test asserts
both hooks are enabled.
LLM Shield is a self-hosted PII gateway. This adds it as a guardrail so a
proxy operator can redact personal data out of outbound requests and have
the original values restored in the model's reply.
The substitution is reversible, which is the difference from a masking
guardrail. Outbound text is replaced with placeholders held in a session
vault inside the operator's own LLM Shield deployment, and the reply is
restored before it reaches the caller, so the end user still sees real
values while the provider never received them.
Streaming responses are restored incrementally. LLM Shield holds back only
the trailing characters that could still turn out to be part of a
placeholder, so tokens are forwarded as they arrive rather than the whole
response being collected first. A placeholder split across two chunks is
never emitted in fragments.
The integration talks to LLM Shield over HTTP and adds no dependency.
Notes for reviewers:
- The guardrail sets use_native_lifecycle_hooks, since redaction and
restoration need the native pre-call, post-call and streaming hooks
rather than the unified path.
- Per-request state lives on the request dict, never on the guardrail
instance, because the proxy registers a single instance process-wide.
The streaming carry-over is a local of the generator for the same reason.
- Every failure blocks the request. A redaction guardrail that fails open
would send the exact data it exists to protect to the provider.
* feat(auto-router): support classifier reasoning effort
* fix(auto-router): harden classifier reasoning effort
* fix(ui): satisfy classifier config lint limits
* refactor(auto-router): simplify classifier effort support
* fix(auto-router): clear frontend-lint and type-discipline gates, trim LOC
---------
Co-authored-by: Tin Chi Lo <tin@berri.ai>
* fix(ui): clearing the organization picker no longer sends organization_id="" on key create
* fix(proxy): paginate Request Logs by conversation and aggregate session type counts and models server-side
* fix(proxy): keep access groups in sync when a model is renamed or deleted
* fix(proxy): cap the Request Logs conversation total like the row total
* fix(proxy): judge access group backing by the database for db models
A worker whose router has not polled the database yet still lists a sibling under its old
name, so a delete or rename handled there kept the stale name in every access group. Only
config-sourced deployments count as router backing now; db models are counted in the table.
* fix(ui): keep the conversation badge when an MCP call represents a conversation
A conversation that straddles the bounded page window can be represented by one of its MCP
rows, which showed a plain MCP badge and hid the session counts. The badge now reads the
server aggregates whenever the conversation has more than one call.
* fix(proxy): list every model of a conversation in Request Logs and keep the conversation badge for MCP representatives
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): type session spend aggregates
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(ui): satisfy request logs lint budget
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): cap per-session model aggregation in request logs
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore: ratchet type-discipline budget after staging merge
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(ui): send an explicit null when the key edit form clears the organization
Clearing the Organization picker in the key edit form wrote undefined into
the form value, and JSON.stringify drops undefined-valued keys, so
/key/update never saw the field and the key kept its old organization.
Writing null instead survives serialization, and the backend's
model_dump(exclude_unset=True) preserves it, so the column is set to NULL.
---------
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(cli): enable Claude Code gateway model discovery by default in lite claude
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(cli): build agent env declaratively and document discovery key for lite up
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(cli): keep build_agent_env within LIT002 type-discipline budget
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
prisma's `delete` returns None when the `where` clause matched no row
instead of raising, and the handler never looked at the return value. It
went straight on to filter an in-memory list that never held the name and
answered 200 "Credential deleted successfully", so an operator scripting
credential cleanup could not tell a real deletion from a typo.
Look at what the repository returned and answer 404 with the name, the
same rejection PATCH /credentials/{credential_name} already gives. A
credential that only exists in the config yaml is never written to the
table, so it now answers 404 too, which is honest: reporting success for
it is the same lie, since it comes back on the next proxy boot.
Adds regression tests for the delete 404, the still-working delete, the
config-yaml-only credential, and for the raise-not-return fix on both
DELETE /credentials/{credential_name} and GET /credentials, which
serialized a rejection as the 200 response body.
* fix(ui): keep Virtual Keys list state in the URL so it survives leaving the page
The search term, sort, pagination and drawer filters lived in component
state, so navigating away from Virtual Keys and back reset the table to an
unfiltered first page. Move them into query state alongside the existing
?key= deep link, which also makes a filtered view shareable.
* fix(ui): namespace the Virtual Keys filter params and bound page inputs
The unprefixed team_id filter hijacked the /api-keys create-key deep link,
which already takes team_id as a prefill, so ?create=true&team_id=X silently
filtered the list underneath the modal. Prefix the four drawer filters.
Now that page and page_size come from the address bar, clamp them to what
/key/list accepts instead of forwarding 0, negatives or an int64-overflowing
page straight through, and trim filter values arriving from a URL the same
way the drawer already trims them.
* fix(ui): fall back to a sortable column when the URL names an unknown one
A hand-edited or stale sort_by reached /key/list, which 400s it, leaving the
Virtual Keys page on its loading skeleton with no error. Validate it against
the fields the table's own headers can produce, and clear sort_by rather than
blanking it when a sort is reset so the URL stays clean.
Also replaces a default-state URL assertion that ran before any query-state
write could land, so it could not fail for the regression it named.
* fix(ui): use TanStack's functionalUpdate instead of a hand-rolled updater resolver
The local helper narrowed typeof updater === "function" against an
unconstrained T, which TypeScript cannot do because T itself may be a function
type, so next build failed to type check. table-core already exports the same
helper.
_setup_database_v2 decided the next attempt budget inline in eight
branches, each rebinding budget before continuing. The branches now live
in _budget_after_deploy_failure, which returns the budget the next pass
runs under, and the two identical idempotent-recovery blocks share
_mark_migration_applied. The loop backs off whenever a pass spent an
attempt, which is the same set of paths that slept before.
* Fix hide-secrets guardrail: playground redaction, UI dropdown entry, spend-log telemetry
The hide-secrets guardrail never implemented apply_guardrail, so the UI test
playground echoed secrets verbatim; it was missing from the Add Guardrail
dropdown; and it recorded no guardrail_information, so Spend Logs could not
distinguish a redacted request from a clean one.
- implement apply_guardrail (unified interface) with use_native_lifecycle_hooks
so proxied traffic stays on async_pre_call_hook (per-key opt-out and
data["prompt"] handling live only there)
- record standard_logging_guardrail_information (allow/mask + masked_entity_count)
via _process_response/_process_error; opted-out keys and legacy nameless
callback instances record nothing
- advertise hide-secrets in /guardrails/ui/add_guardrail_settings (pre_call only)
and /guardrails/ui/provider_specific_params with a config model
Resolves LIT-3548
* Fix hide-secrets passthrough telemetry and JSON config input
* fix(guardrails): validate hide-secrets object config before submit
- apply_guardrail treats empty-string-only texts as no input, so no
false allow is recorded
- the UI object field keeps raw text while editing and blocks submission
until it parses to a JSON object, instead of posting a string to an
object-only API
- supported_modes_by_provider keeps its dict[str, list[str]] value type
* fix(guardrails): record no hide-secrets telemetry when nothing was inspected
walk_user_text and the prompt redaction now report how many non-empty
strings they visited; when neither inspected anything (image-only
content, empty strings), the run records no guardrail entry instead of
an 'allow' row that counts a check which never saw any text.
The v2 migration resolver gave `prisma migrate deploy` four attempts, and
every recovery path ended in a bare `continue`, so each one burned an attempt.
A database first brought up with `--use_prisma_db_push` has a full schema and
no migrations ledger, so the baseline spent attempt one and the first three
migrations whose objects already existed spent the rest. The proxy then exited
before binding its port, and that database could never be moved onto the
resolver.
The retry budget now counts only attempts that got nowhere. Creating the
baseline, and each migration newly marked applied, leaves the budget alone, so
a push-created database works through its pre-existing objects one pass at a
time. Timeouts, deadlock rollbacks, advisory-lock waits, and a repeat of a
recovery that already ran still spend an attempt, so a run that stops making
progress gives up exactly as before.
Two branches independently added embedding_executor to the same fake
search handler in this file, #39472 in the middle of the signature and
#39474 at the end. Neither conflicted with the other, so both edits
merged and the function ended up declaring the parameter twice.
Python rejects that at compile time, so the whole module fails to
import and every test in the file is uncollectable, taking the
logging_testing job down on staging.
Keep the earlier of the two, which sits where the real handler declares
the parameter.
* fix(sso): resolve multi-valued role claims to the highest privilege role
A role claim carrying several roles used to resolve to whichever one the IdP
listed first, so a user holding both proxy_admin_viewer and internal_user lost
org-level spend visibility depending on claim ordering alone.
get_litellm_user_role now picks the highest privilege role out of a list-valued
claim, and the Entra app_roles path shares that same resolution instead of
keeping its own copy of the hierarchy. SAML assertions carrying several role
values go through the same path rather than taking the first value.
* test(sso): lock ranked-over-unranked role resolution for mixed claims
org_admin, team and customer sit outside the privilege ladder. Pin the
resolution for a claim that mixes one of them with a ranked role so the
asymmetry is covered rather than implicit.
* fix(sso): label the claim-sequence cast for the type-discipline gate
* fix(sso): resolve claim entries without recursing
The repo's recursive-function gate rejects self-recursion here, and a role
claim is flat anyway. Pull the single-value lookup into its own helper so the
list branch maps over it instead of calling back into itself.
* fix(ui): stop the create team form resetting organization and models
The organization preselect ran in an effect keyed on the organizations
query, so any refetch of that list while the Create Team modal was open
overwrote the user's organization pick, which in turn cleared their
models pick. The models field was also cleared whenever the available
models fetch resolved.
Preselect the organization when the modal opens instead, and clear the
models only when the user picks a different organization. An org admin
whose admin orgs narrow to one while the form is open can still pick,
rather than facing a locked empty field.
* fix(ui): block team create when the picked organization is no longer available
An organization picked in the Create Team form now survives a refetch of
the organization list, so it can outlive the admin's access to it. Refuse
the create with a message on the field rather than letting the request
fail authorization at the proxy.
* fix(ui): keep the team create organization field usable when the pick goes stale
Locking the field on a single admin organization also locked it while it
held a rejected organization, so an admin who lost access could not pick
the one organization left. Lock it only while it holds that organization.
* test(ui): hoist the created team fixture out of the mock call
The inline object pushed the repo past its no-large-inline-object-arg
lint budget, which has no headroom.
The Router executor only routed a query embedding when the vector store
carried extra embedding configuration, so a store registered with no
embedding model at all always went to the Router and 500'd on the
s3_vectors default text-embedding-3-small when no deployment served it.
Route on whether the Router serves the model, which is the rule the
executor had before, and keep the request metadata on the SDK fallback so
the embedding stays attributed either way.
The autoRouterPresets mock imported litellm/proxy/public_endpoints/autorouter_presets.json
as a module. That path sits outside ui/litellm-dashboard, the only directory the UI
Dockerfile copies, so `next build` type-checking inside the image failed with
"Cannot find module" and the ui-image job went red on every PR that touched an
image-scan path. Read the file with fs at runtime instead; vitest still derives
expectations from the real bundled catalog.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HqEPCNLDrssxsuezhAaL4j
Adds chat_completions and transcription as SDK function columns, backed
by the existing rust_bridge test files. Adds a fourth strategy folder,
existing_e2e_test_sdk, that points at already-existing live-API SDK
tests (tests/ocr_tests/ as a whole folder, plus chat completion and
Whisper transcription tests) instead of writing new parity tests.
Extends selector_matches_node with trailing-slash folder selectors so
a whole test folder can back one matrix cell.
* feat(datadog_llm_obs): cost tag dimensions, router decision fields, reasoning token metric, redaction gating
* test(datadog_llm_obs): satisfy test quality gate
* fix: forward integer parent_id as its string form
* fix(datadog): sanitize redacted message roles
* fix(datadog): keep the A2A agent role on redacted spans
* fix(datadog): merge current staging budget
* style(datadog): format redaction tests
* fix(datadog): handle malformed redacted roles
* test(datadog): put the test quality suppression on the reported line
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
A session pinned to a text-only model failed every image turn with a provider 400, because the modality gate exempts a kept pin by cause. Add modality_pin_override so that exemption is conditional: the image turn is re-placed on a capable model for that request only, reported as cause modality_pin_override, and the stored pin is left untouched so the next text turn replays it.
The pin write on the replay path already happens upstream of the gate and stores the session's own model, so pin survival is structural rather than bookkeeping. The new cause joins the non-pinnable set. Default off at every layer.
S3 Vectors now subclasses BaseQueryEmbeddingVectorStoreConfig, so its query
embedding runs through the Router executor with the request metadata instead
of a private router lookup. embedding_model stays accepted as an alias of
litellm_embedding_model. The router kwarg is gone from the search handler and
every provider transform now that nothing but the executor fallback read it.
* test: add OCR python-to-rust test parity ledger
* feat: add ledger loader for OCR test parity data
* feat: add drift audit for OCR test parity ledger (WIP, untested)
* fix: correct drift in OCR test-parity ledger
Two entries referenced a typo'd Python test name, four duplicated entries already tracked under TestProxySecurityGuard, five real Python tests in test_rust_bridge.py were untracked, and three real Rust custom_logger tests were missing from rust_only_tests. Found by running validate_ledger.py's audit against the live repo.
* test: add regression coverage for the OCR ledger and audit script
Covers schema validation, AST/regex test enumeration, drift detection on both the Python and Rust sides, LedgerDriftError content, and a live-repo clean-audit guard against future drift.
* test: simplify ledger test to one drift-guard assertion
Replace the ledger-internals unit tests with a single test that runs the real audit against the live repo and asserts every OCR test is accounted for (mapped, unmapped-with-reason, or rust_only), printing the exact diff on failure.
* chore: move OCR test-parity ledger to core/ocr
validate_sub_methods/ mixes strategy-catalog metadata with the ledger. Ledger data belongs under a per-function core/<function>/ path instead.
* fix: point LEDGER_PATH at the new core/ocr location
* fix(model_armor): handle Anthropic Messages and Responses streams in post_call
The post_call streaming hook buffered every chunk and fed it to
stream_chunk_builder, which only understands chat-completion deltas.
/v1/messages streams raw Anthropic SSE bytes and /v1/responses streams
typed Responses events, so both raised litellm.APIError and surfaced to
the client as a 500 on every streamed request.
Assemble each surface with its own reader, frame guardrail failures as
terminal items in that surface's wire format, and pass the stream
through unscanned when it cannot be assembled instead of raising.
* fix(model_armor): classify the stream surface and fail closed when it cannot be assembled
Decide the wire format explicitly instead of inferring it from a boolean pair, so an
opaque raw SSE stream (the Google :streamGenerateContent route) is never refused in
Anthropic framing, and a stream that cannot be assembled is blocked rather than
released unscanned unless fail_on_error is disabled.
Also scan Responses tool-call arguments, read the body only off a terminal Responses
event, and record the applied guardrail on the fail-closed path.
* test(model_armor): pin the error-only stream predicate against content-carrying streams
is_sse_error_stream decides whether a buffered stream is forwarded to the client
untouched, so a stream that still carries content must not qualify: the frames-only
join drops typed chunks, an empty stream is not a refusal, and a content event may
carry an empty error field.
* fix(model_armor): let a streamed de-identify match mask instead of blocking
A de-identify template reports MATCH_FOUND for every redaction it makes. The
streaming block check omitted allow_sanitization, so with mask_response_content
enabled that match read as a refusal and the client got a 400 where the
non-streaming sibling returned the redacted text. Pass the flag through, as the
non-streaming hook already does, and stamp the logged status from the same
decision so the spend row agrees with what the client received.
Also drop Any from the chat-completion assembler's parameter; stream_chunk_builder
takes a bare list, so list[object] carries the mutability requirement without
erasing the element type.
* fix(model_armor): fail closed when a streamed de-identify match cannot be applied
Allowing sanitization past the streaming block check is a promise to apply the
redaction Model Armor asked for. Two paths broke that promise and released the
buffered original instead: a match that comes back with no sanitized text, and a
surface with no assembled body to rewrite.
The outcome is now resolved once, before it is recorded, so the status stamped on
request metadata agrees with what the client receives rather than reporting the
success the block check alone would have implied.
* fix: scan the deltas when a Responses stream ends without a body
response.failed and response.incomplete are terminal events like
response.completed, but a turn that broke mid-generation reports an empty
output while the deltas ahead of it already spelled the answer out to the
client. Reading only the terminal body found nothing to scan there, and the
empty-content shortcut then forwarded every buffered delta past the guardrail.
Fall back to the text the delta events carry whenever a Responses stream
assembles to nothing.
* fix: read the Responses delta event types off the event enum
The hand-listed set left out response.mcp_call_arguments.delta, so a turn that
streamed only MCP tool arguments and then reported an empty body still took the
no-content shortcut and forwarded those chunks unscanned.
Deriving the set from ResponsesAPIStreamEvents keeps it complete as the enum
grows, and the str guard in the reader already covers any event whose delta is
not text.
* fix(model_armor): scan responses deltas alongside the terminal body
A /v1/responses stream spells out reasoning summaries and tool-call arguments in
delta events that its terminal body never repeats, so scanning the body alone
handed every summary delta to the client unscanned whenever the body carried text.
* fix(model_armor): scan responses delta fields apart from each other
A Responses turn spells out its reasoning summary, its visible answer and its tool-call
arguments in separate delta events. Joining every delta into one string let a finding form
across the boundary between two fields that each carry nothing to find, so a safe stream
could be blocked. Group the deltas by the field they belong to, join a field's own deltas
as they streamed, and keep the fields apart.
* fix(model_armor): scan each responses field once, not twice
Separating delta fields stopped the terminal body from matching the delta text, so a turn
with two visible fields sent Model Armor both copies. Only the delta fields the body does not
already carry are appended now.
---------
Co-authored-by: yassin <yassin@berri.ai>
* feat(azure): support credential chain for storage
* test(azure): clarify credential seam suppressions
* fix(azure): read chain tokens in a worker thread
The credential chain walk (IMDS probe, CLI subprocess) is blocking I/O,
so reading the provider inline in async set_valid_azure_ad_token stalls
every request on the worker's event loop
* fix(proxy): keep SpendLogs and callback session ids in sync when the request has none
Add general_settings.missing_session_id (generate | reject). In generate mode one id is
stamped into litellm_session_id, litellm_trace_id and metadata.session_id before callbacks
run, so LiteLLM_SpendLogs.session_id and the Langfuse session id match. In reject mode such
requests get a 400. Unset keeps the legacy behavior. MCP routes are not affected
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(proxy): regenerate schema.d.ts and shorten mutable-ok comment for ruff format
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): mark generated session ids so affinity consumers do not pin on them
Fireworks x-session-affinity, the router session_affinity pre-call check and the
complexity router session pin all read metadata.session_id as a caller-chosen
stable key. A missing_session_id: generate id is fresh per request, so it now
carries metadata.litellm_session_id_generated and those consumers skip it
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
