* [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
Unify follow-up fixes for Opus 4.6 pricing and routing metadata into
a single changeset.
Set long-context-capable Opus 4.6 entries to 1M input tokens where
>200K pricing is defined, align alias and dated capability metadata,
and add Bedrock Converse v1 IDs with and without :0 suffixes.
Keep regional endpoint pricing at a 10% premium over global entries
and mirror all cost-map changes in the backup file used for local
loading and offline fallback behavior.
Extend Opus 4.6 regression tests to verify metadata parity, Bedrock
regional pricing parity across :0 and non-:0 IDs, and converse model
registration in constants and runtime model sets.
This PR:Fixes a frontend regression where the
PublicModelHub
page would crash with TypeError: e.filter is not a function when the API returned an error object (e.g. { "detail": "..." }) instead of the expected data array.
Changes:
Added defensive Array.isArray() checks in
src/components/public_model_hub.tsx
for:
modelHubData
agentHubData
mcpHubData
Updated useMemo hooks and helper functions to handle invalid data gracefully.
Added a regression test in
src/components/public_model_hub.test.tsx
that mocks a non-array API response to ensure the component renders without crashing.
AsyncHTTPHandler.__del__ was closing httpx clients still in use by
AsyncOpenAI/AsyncAzureOpenAI due to independent cache lifecycles.
Restores standalone httpx client creation for OpenAI/Azure providers.
* fix(vertex_ai): replace custom model names with actual Vertex AI model names in passthrough URLs (#19948)
When the passthrough URL already contains project and location, the code
was skipping the deployment lookup and forwarding the URL as-is to Vertex AI.
For custom model names like gcp/google/gemini-2.5-flash, Vertex AI returned
404 because it only knows the actual model name (gemini-2.5-flash).
The fix makes the deployment lookup always run, so the custom model name
gets replaced with the actual Vertex AI model name before forwarding.
* add _resolve_vertex_model_from_router
* fix: get_llm_provider
* Potential fix for code scanning alert no. 4020: Clear-text logging of sensitive information
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
---------
Co-authored-by: michelligabriele <gabriele.michelli@icloud.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
The regex in get_vertex_model_id_from_url() was using [^/:]+
which stopped at the first slash, truncating model names like
'gcp/google/gemini-2.5-flash' to just 'gcp'. This caused
access_groups checks to fail for custom model names.
Changed the pattern to [^:]+ to allow slashes in model names,
only stopping at the colon before the action (e.g., :generateContent).
* fix(proxy): support slashes in google route params
* fix(proxy): extract google model ids with slashes
* test(proxy): cover google model ids with slashes
