* fix(pricing): add undated azure aliases for gpt-audio-mini and gpt-realtime-mini
Azure deployments are commonly created against the undated model name,
and the cost-tracking docs say to set base_model to azure/<model> — but
only the dated -2025-10-06 entries existed for these two models (the
openai provider has undated aliases for both). base_model:
azure/gpt-audio-mini therefore resolved to nothing and, depending on the
fallback path, text tokens billed at $0 while audio tokens billed fine.
Mirror the -2025-10-06 entries as undated aliases, exactly like the
undated openai entries mirror their newest dated variant.
Fixes#33170
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* test(pricing): assert undated azure audio aliases exactly mirror their dated entries
Review follow-up: COST_FIELDS missed realtime-specific cost keys
(cache_creation_input_audio_token_cost, cache_read_input_token_cost,
input_cost_per_image). Full-entry equality catches drift on every field.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(pricing): mirror updated mode=realtime on the undated gpt-realtime-mini alias
Upstream changed the dated entry's mode from chat to realtime after this
branch was cut; the undated alias must stay a byte-for-byte mirror.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(pricing): mirror the new deprecation_date onto the undated gpt-audio-mini alias
* test(pricing): use shared local_model_cost_map fixture so get_model_info's lru_cache never crosses maps
---------
Co-authored-by: Mihidum Hettiyahandi <55163074+mihidumh@users.noreply.github.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
test_get_model_info_reports_realtime_mode resolved gpt-realtime-mini through
litellm.get_model_info, which reads the cost map litellm fetches at import from
raw.githubusercontent.com/BerriAI/litellm/main. The mode=realtime retag from
#33728 is in this repo's json and its bundled backup but has not reached main
yet, so the test failed whenever the fetch succeeded and passed whenever the
runner was rate limited and litellm fell back to the backup, flapping the
Unit Tests: MCP, Secrets, Containers & Misc job on unrelated PRs
Resolve the lookup against the bundled backup instead, the way
tests/test_litellm/test_cost_calculator.py already does: force
LITELLM_LOCAL_MODEL_COST_MAP, rebind litellm.model_cost, and clear the
get_model_info lru cache before asserting so a remote-backed entry cached
earlier in the same worker cannot leak through, then clear it again afterwards
so no locally-backed entry outlives the test
The gpt-realtime family (OpenAI and Azure) only serves /v1/realtime and is rejected by /v1/chat/completions with "This is not a chat model", but the cost map tagged them mode=chat. Retag them mode=realtime (a value already used by gemini-live and handled by the health-check realtime handler) and add realtime to the ModelInfoBase mode literal.
Co-authored-by: Krrish Dholakia <krrishdholakia@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
