The route test only resolved route names. It now sends every method through
the proxy with a virtual key and asserts the upstream receives that method,
the proxy's TypeSafe key and the caller's body
Non-admin keys may only start transcription jobs whose media and transcript output live in the S3 buckets listed in general_settings.transcribe_media_buckets, and may not supply DataAccessRoleArn or JobExecutionSettings. The setting is editable from the Admin UI general settings table (new List editor) and DB values load into the running proxy when config.yaml does not set it
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
#41607 registered the typesafe pass-through with a route that only accepted
GET and POST, so a PUT, DELETE or PATCH to /typesafe/... came back 405
before reaching the upstream. CircleCI's pass-through method test caught it,
but that lane does not run on the PR gate, so the mapped unit test now
covers the same invariant for typesafe
The same CircleCI run also failed test_models_by_provider because typesafe
is not a key of models_by_provider. Registering it there would satisfy the
assertion without changing behaviour: typesafe has no LlmProviders member,
so a typesafe/* deployment never loads and get_valid_models returns nothing,
and its spend is priced straight from model_cost. The test already skips
search-mode providers for that reason, so it now skips evaluation mode too
Restrict signed media fetches to https URLs, treat a job AWS no longer knows as
priceable from the media named in its StartTranscriptionJob response instead of
polling to the eight hour maximum, and read the media length with libsndfile
headers instead of decoding the whole file into memory
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Standard jobs are tagged litellm-owner on StartTranscriptionJob so GetTranscriptionJob
and DeleteTranscriptionJob only work for the owner or a proxy admin, and account-wide
operations need a proxy admin. Media rewritten after job creation is charged the eight
hour maximum, and the success handler takes an injected log dispatch instead of tests
patching its private method
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Virtual-hosted URLs for bucket names containing dots fail TLS verification, so the
media duration fetch failed and completed jobs were charged the eight hour maximum
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Amazon Transcribe bills every second of the media file, silence included, while the
transcript's last end_time stops at the last word, so pricing from the transcript
undercharged. After a job completes, download Media.MediaFileUri from S3 with the
proxy's credentials and read its length with libsndfile. Formats libsndfile cannot
read (mp4, m4a, webm, amr) and custom language models under LanguageIdSettings are
refused before signing. The S3 signature is only sent to hosts in the AWS partition
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
StartTranscriptionJob was logged with response_cost 0.0, so key, team and proxy
budgets never stopped repeated jobs on the proxy's AWS credentials. The success
handler now polls GetTranscriptionJob to completion, reads the audio duration
from the transcript artifact and charges whole seconds at the cost map rate,
charging the longest media AWS accepts when the duration cannot be read. The
route refuses job classes and surcharge features the cost map does not price
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The agent-runtime branch of /bedrock/{endpoint} (agents, knowledgebases, flows,
retrieveAndGenerate, rerank, generateQuery, optimize-prompt) forwarded every
caller header to AWS next to the SigV4 signature, so a LiteLLM key presented in
x-api-key or x-litellm-api-key reached bedrock-agent-runtime verbatim. Build the
upstream header set explicitly: drop LiteLLM credential headers by name and any
authenticated secret by value, keep the remaining caller headers, and let the
signed headers win on collisions.
Without a master key the auth layer echoes whatever key the caller presented as the authenticated key, so the passthrough's strip-by-value matched the caller's own Anthropic key and dropped it: a bring-your-own-key request that returned 200 on main answered 401 telling the caller to send the key they had just sent. Only the auth module's own no-auth dev-mode definition, shared through is_no_auth_dev_mode, decides that nothing was authenticated, and only when no custom auth is installed; JWTs, OAuth2 tokens, and custom-auth credentials are still stripped there. The sk- prefix heuristic goes with it.
The Vertex credential-less test now sets a master key, since a virtual key can only authenticate under one: the auth layer returns before any key lookup when the master key is unset.
Pass user_api_key_dict.parent_otel_span into the outgoing W3C injection so the
legacy otel callback propagates its litellm_request span, falling back to the
otel_v2 request root span and then the ambient span. Extend the mapped unit
tests to assert the propagated trace and span ids over real captured headers
for HTTP and WebSocket passthrough with forwarding on and off.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The /anthropic/{endpoint} route forwarded every incoming header upstream, so
the header carrying the caller's LiteLLM virtual key (Authorization, x-api-key,
x-litellm-api-key, or the operator-configured key header) reached Anthropic and
was rejected there as an invalid credential, with or without a proxy-side
Anthropic key layered on top.
Share the Vertex credential-less header filter: drop the proxy-only credential
headers by name, drop the value that authenticated the caller (virtual key,
master key, or JWT) from Authorization / x-api-key, keep a caller's own
Anthropic credential, layer the proxy's Anthropic credential on top, and fail
with a clean 401 when neither the proxy nor the caller supplied one.
Resolves LIT-3550
Route Vertex and Gemini /interactions create responses through the shared
Interactions usage transformation so SpendLogs carry per-modality tokens and
cost instead of zeros, and carry parameters.sampleCount into Veo usage as
video_count so duration-based video cost is multiplied by the number of
generated videos
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>