The last-known org copy was written only on get_org_object's DB-read path. The
virtual-key auth prefetch fills the same 5s org entry directly, so with keys and
JWTs of one org on the same worker the JWT lookup always hit the cache, never
wrote the copy, and a DB outage turned that JWT traffic into 503s again.
get_org_object_for_request now writes the copy itself whenever this worker holds
none, under the management-object TTL, and get_org_object is back to its shape
on main.
A JWT whose team sits in an org resolves the org on every request, and the
org row is cached for only DEFAULT_IN_MEMORY_TTL seconds while the team and
user rows ride the 60s management-object TTL. A few seconds into a database
outage the org lookup failed closed and that traffic got 503s while the same
request through a virtual key kept succeeding on its cached team.
get_org_object now also keeps a last-known copy of the org row under the
management-object TTL, and get_org_object_for_request serves that copy when
the database is unreachable, so JWT traffic degrades the same way the team
lookup does. A missing copy keeps the previous behaviour: fail closed unless
allow_requests_on_db_unavailable is set.
The key_exists chart test added a second direct DOM lookup for the Recharts bars, which exposes no role or label, and pushed testing-library/no-node-access over its budget (709 > 707). Both chart tests now go through one helper
/user/daily/activity now reports key_exists on each api key's metadata, true
only when the key is in the active key table that /key/info reads. Top Virtual
Keys renders the Key ID as plain text with an explanatory tooltip and ignores
chart bar clicks when key_exists is false, so deleted keys and CLI/SSO session
keys no longer dead-end on a "Key not found in database" toast
* fix(otel v2): summarize embedding vectors as Langfuse observation output
The v2 LLM span built its output only from response choices, so /v1/embeddings
rendered a Langfuse generation with input, usage and cost but a blank output.
Embedding calls now carry an EmbeddingOutput(count, dimensions) summary that the
Langfuse mapper serializes as the observation output, and they are exported with
the embedding observation type instead of generation. Chat and Responses output
mapping is unchanged.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(otel v2): keep embedding observations typed as generation in Langfuse
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The config file winning over the database was silent. An admin who had set
a value through the UI and later pinned the same key in the file saw their
stored value quietly stop applying, with nothing said at boot and nothing
said when a later write was refused.
Startup now warns once per key whose stored value differs from the file's,
naming the key and what to do about it. The refusal raised on a write to a
config-owned key carries the same sentence, so the log and the 400 read
identically, and both call out that a stored value exists and will never be
applied. The /config/update refusal gained the same detail.
Keys the file does not declare are untouched: the database still owns them,
and a stored value equal to the file's is not worth a warning.
The v2 LLM span built its output only from response choices, so /v1/embeddings
rendered a Langfuse generation with input, usage and cost but a blank output.
Embedding calls now carry an EmbeddingOutput(count, dimensions) summary that the
Langfuse mapper serializes as the observation output, and they are exported with
the embedding observation type instead of generation. Chat and Responses output
mapping is unchanged.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Add an aws_textract OCR provider on the Rust route, with no Python path. The
detect-document-text model returns plain lines and analyze-document renders
layout and tables as markdown. Both use Textract's synchronous API, so a
multi-page PDF or TIFF is rejected with an error that names the single-page
limit. A call with no region fails instead of falling back to Bedrock's default
SigV4 covers the request body, and host hooks can rewrite that body before it
is sent. litellm-http now has OutboundRequest, which serializes the body once,
shows those bytes to a RequestSigner and is the only thing a route can send.
Chat, audio transcription and OCR build it after their hooks ran, so a callback
that redacts the body still produces a valid Bedrock or Textract signature
ChatCompletionsAuth and AudioTranscriptionAuth are replaced by
litellm_auth::RequestAuth, and one helper in core turns it into a signed or
unsigned request. Audio transcription now signs only the AWS header set and
rejects a forwarded header that SigV4 computes, the same as chat
The OCR catalog routes aws_textract as Rust required, and the dispatch context
reads the provider from the model prefix so a provider scoped rule can match
