Muse partials carry no turnId and belong to the most recent speechStart,
and the docs say the model may keep post processing a turn after speechEnd
until speechComplete. Releasing the active turn on speechEnd made any
partial arriving in that window raise and get dropped in ENDPOINTING mode.
The turn now stays active until its speechComplete or final transcript.
* fix(guardrails): log mask when a guardrail adds request keys
_inputs_were_modified only compared keys present in the pre-hook baseline, so a
guardrail that injected a new key such as tools was logged as allow. Compare over
the union of both key sets, and narrow the pre_call return value to the same
prompt-bearing keys the baseline holds so passthrough stays allow.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(guardrails): snapshot apply_guardrail inputs before the hook mutates them
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>
get_attached_policies_with_reasons rescanned the sorted matches with next() once
per distinct policy, which is quadratic and misses the one second budget past a
few thousand global attachments. Build a policy to broadest attachment map in one
pass instead, keeping the specificity sort and result order.
Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): accept both deferred stream logging arg shapes on native routes
_arm_deferred_stream_dispatch armed a one-argument closure on every
anthropic_messages/aresponses stream that was not a CustomStreamWrapper or a
LiteLLMCompletionStreamingIterator. The bridged /v1/messages path returns a
plain SSE generator that shares its inner CustomStreamWrapper logging_obj, so
it stores (assembled_response, cache_hit) and _fire_deferred_stream_logging
raised TypeError, dropping spend logs and callbacks and ending the stream with
an error. The closure now dispatches on the stored args shape: a single
coroutine is enqueued, a two-tuple runs success handlers, anything else is
logged and dropped
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(proxy): assert dropped deferred payload via caplog instead of patching the logger
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>
Gate the reasoning_effort translation on the cost-map flag or the model name containing
claude, so unmapped Claude serving endpoints keep translating. Flag the newer Claude
entries that were missing it. Expose supports_anthropic_thinking_payload as a public
helper next to the other supports_* wrappers instead of importing the private factory.
Drop the adaptive-only guard, since the adaptive flags only ever match Claude ids, and
add regression tests for an unmapped Claude endpoint and an adaptive Claude model
A duplicate speechStart for a turn that already stopped used to make that
closed turn active again, so the next turnless PUSH_TO_TALK transcript was
routed to the finished item and dropped.
Turns no longer wait behind each other in a FIFO queue, so an empty
server_vad turn (speechStart then speechEnd with no transcript) cannot
stall every later turn, and a PUSH_TO_TALK speechComplete now closes its
turn without waiting for a speechEnd that never arrives. Each turn keeps
its own idempotent emit state, so late or duplicate speechEnd,
speechComplete and transcript frames are no-ops, and finished turns are
remembered in a bounded map instead of a separate tombstone deque.
The session.created ack and the sanitized error frame are now typed as
members of OpenAIRealtimeEvents, which removes the typing.cast calls
that the strict ruff budget flagged.
Servers whose upstream catalog depends on the caller (oauth2 per-user, token exchange, id_jag, per-user env vars, delegated auth) now keep one listed-tool mapping per (user_id, api_key) hash under the server id, so one caller's tools/list cannot supply another caller's description or inputSchema to pre-call guardrails. Shared servers and OpenAPI-backed servers keep a single server-wide entry
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Deleting a team cascade-deletes its keys, so `terraform apply -replace` on a
team left the key's `/key/update` 404ing and aborted the apply with the key
resource stuck. The update now confirms the key is really gone and recreates it
under the new team; a `team_id` change between two live teams stays an in-place
update, and an unrelated failure still errors out.
Rebased onto current staging, which added a typed `apiError` and `isNotFound`,
so the recovery matches on the status code plus a re-read rather than on the
error string. The metadata pre-read, which fails before `/key/update` is ever
reached when the key is gone, routes through the same recovery.
Original work by @matthowardcohere in #39747.
Claude-Session: https://claude.ai/code/session_01XT1qsbjLwnhiN5sQ2hNUxr
