1.
notifications_manager.tsx
- Hybrid notification approach:
Added notificationInstance variable to store the context-based instance
Added
setNotificationInstance()
function to inject the instance from context
Created
getNotification()
helper that prefers context instance, falls back to static
Added COMMON_NOTIFICATION_PROPS (exported) with showProgress: true and pauseOnHover: true
All notification methods (
error
,
warning
,
info
,
success
,
fromBackend
) now spread COMMON_NOTIFICATION_PROPS
2.
AntdGlobalProvider.tsx
- New context provider:
Wraps app with Antd's <App> component
Uses App.useApp() hook to get the context-based notification instance
Injects it into NotificationManager via
setNotificationInstance()
* [Feat] add ElevenLabs `eleven_v3` and `eleven_multilingual_v2` to model cost map
Register ElevenLabs TTS models for cost tracking:
- elevenlabs/eleven_v3: most expressive model, 70+ languages, audio tags
- elevenlabs/eleven_multilingual_v2: default TTS model, 29 languages
Also update ElevenLabs docs with supported models table and eleven_v3 audio tags example.
* docs: remove model-agnostic tip from ElevenLabs docs
* docs(web_search): clarify OpenAI search model requirements
- Add gpt-5-search-api to supported OpenAI search models
- Add warning that regular models (gpt-5, gpt-4.1) do NOT support web_search_options
- Add tip that web_search_options is optional for search models
* feat(models): add gpt-5-search-api pricing for OpenAI and Azure
Create fresh mock objects within the test instead of reusing mocks
from setUp that have side_effect configured. The setUp's side_effect
on mock_langfuse_client.trace can interfere with return_value settings
when tests try to reset and reconfigure mocks.
Using dedicated mock objects for this test avoids state pollution
from setUp's side_effect configuration and makes the test more
deterministic in parallel execution environments.
Set cached tokenizer config directly and mock both sync and async
tokenizer functions to avoid race conditions when running with
parallel test execution (-n 16).
The issue was that parallel tests could populate the
litellm.known_tokenizer_config cache between clearing it and
when the code checked it. This caused the sync code path to be
used instead of the async path, bypassing the mocked async functions.
Fix:
1. Set cache directly instead of clearing it
2. Also mock sync versions _get_tokenizer_config and _get_chat_template_file
This ensures the test is deterministic regardless of test execution order.
Add Claude Opus 4.6 entries for Anthropic, Bedrock Converse, and Vertex AI.
Align pricing and capability metadata with Anthropic docs, including
long-context rates, above-200k prompt-caching rates, prefill removal,
and tool-use system prompt token counts.
Register the Bedrock Converse model ID in constants and add targeted
tests to validate model map values and converse registration.
The daily spend tables store dates in UTC, but the UI sends dates in the
user's local timezone. This causes a mismatch where records from the
user's evening (stored as the next UTC day) don't appear when filtering
by "today".
Changes:
- Add `_adjust_dates_for_timezone()` helper to expand date range based
on timezone offset
- Add `timezone` query parameter to `/user/daily/activity` and
`/user/daily/activity/aggregated` endpoints
- Frontend sends `timezone` using `Date.getTimezoneOffset()`
For users west of UTC (e.g., PST), end_date is extended by 1 day.
For users east of UTC (e.g., IST), start_date is extended by 1 day earlier.
This ensures all records within the user's local date range are captured.
The cast(Any, message) pattern was used to suppress typed-dict mutation
warnings, but the parameter has no type annotation so it's unnecessary.
Direct assignment works and eliminates the F401 unused-import lint error.
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
