The three member-budget tests patched litellm internals and asserted only on
the mock, which tripped the TQ002 and TQ008 test-quality ratchet. Fake the
prisma budget table on the shared client and assert on the row that reaches
the database plus the returned team payload.
POST /prompts silently stored an empty template when litellm_params.prompt_id
was combined with prompt_data keyed by template name, because the loader
wrapped the already-keyed dict under prompt_id a second time. The loader now
wraps only a flat template (a dict carrying a content key), and create,
update, and patch reject the ambiguous keyed+prompt_id combination with a 400
that names both valid shapes. The API also returned version null on every
create and lost version, environment, and created_by on registry reload; both
now carry through. Versioned ids like my-prompt.v1, which the create API
itself returns, now resolve to their base template on the SDK prompt hooks,
and a flat DB prompt with no litellm_params.prompt_id registers under its base
API id instead of garbage.
The Default Budget Duration field in Team Member Settings only offered daily, weekly and monthly, so a team member budget could never be set to never reset. It now uses the shared BudgetDurationDropdown, and /team/update writes an explicitly null duration through to the member budget row along with its reset time.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
A model_group_alias whose target is an auto-router shows up in /v1/models and
/model_group/info but 400s on call with "Unmapped LLM provider for this
endpoint. You passed model=complexity_router, custom_llm_provider=auto_router".
async_pre_routing_hook picks the strategy using the name the caller passed,
while the alias is only resolved further down in
_common_checks_available_deployment, so the four strategy registries, all keyed
by the marker deployment's model_name, never match. The hook then declines, and
the auto_router/ marker deployment goes out as if it were a real model
Resolve the alias once at the top of the hook, for lookups only, so the
registries, the tag-filtering escape hatch and the marker's forwardable params
all see the name they are keyed under. The caller-facing name is untouched:
spend metadata is stamped before routing and the response still carries the
alias the client sent
Second half, so the same symptom cannot reach a provider through the entry
points this does not fix (the sync selection path that never runs the hook, a
team-scoped router keyed on its internal name), a group that resolves only to
strategy markers is no longer callable: it raises a BadRequestError naming the
marker instead of handing the auto_router/ pseudo-model to the provider
The MCP client's HTTP transport needs mcp>=1.24.0 for streamable_http_client,
but a base litellm install declares no mcp constraint and no extra existed to
pin one, so environments carrying an older mcp fail at connect time with
'streamable_http_client is not available. Please install mcp with HTTP
support.', which names no version floor and no installable remedy.
Add a litellm[mcp] extra matching the proxy extra's mcp>=1.28.1,<2.0 and
replace the vague ImportError with one naming the required floor, the
installed mcp version, and the pip commands that fix it.
Drop the notifications_manager.tsx keyword tweak: staging replaced the
substring classifier with lib/toast.ts, which already titles
validation_error responses as Validation Error
The token exchange no longer joins deferred discovery when the token url is
already stored, so it cannot 503 over an unreachable issuer it needs nothing
from. After a request joins discovery, authorize and token now read the
resolved server for the DCR bridge relay decision and the rest of the flow,
so a registration endpoint resolved mid-request routes a front-door client
to its own redirect binding. The encrypt seam in the issuer-yield authorize
test now uses a real salt key instead of patching an SDK internal.
Cache-hit success callbacks in short-lived SDK scripts enqueue
Logging.async_success_handler onto the global logging worker; the worker
loop dequeues the task and asyncio.run cancels the processing task before
it ever starts, so the coroutine leaves the queue unawaited and the atexit
flush finds an empty queue and rescues nothing. Track dequeued-but-unfinished
tasks with strong refs and have the atexit flush run any whose coroutine
never started
The realtime health check always built the Azure websocket URL with the
default beta protocol, so GA-only transcription models such as
azure/gpt-realtime-whisper got probed at /openai/realtime and were
rejected with HTTP 400 on every /health run, while real calls through
the proxy resolved the GA path via intent=transcription and worked.
The probe now resolves the protocol the way the real call path does:
an explicit realtime_protocol (argument, deployment litellm_params, or
LITELLM_AZURE_REALTIME_PROTOCOL) wins, transcription-only models fall
back to GA with intent=transcription, and everything else keeps beta.
Transcription-only detection reads both mode and supported_endpoints
from get_model_info because a live proxy overwrites the catalog mode
with the operator's deployment model_info (mode: realtime) during
router registration, while supported_endpoints survives it.
get_model_info now propagates supported_endpoints from the cost map;
it declared the field but never populated it.
Vertex AI Live accepts a speechConfig on setup for native-audio models, so
stripping it silently discarded the voice a client asked for. Confirmed against
a live BidiGenerateContent session on gemini-live-2.5-flash-native-audio and on
gemini-live-2.5-flash-preview-native-audio-09-2025: both return setupComplete
with speechConfig present.
The strip stays in place for Google AI Studio, which was never verified to
accept it, via an overridable predicate matching the existing
_include_function_response_id pattern. The responseModalities TEXT to AUDIO
coercion is unchanged, since Vertex does reject TEXT on these models.
