mirror of
https://github.com/BerriAI/litellm.git
synced 2026-10-03 02:22:24 +00:00
c23b19f09c
* feat(openai): apply regional-processing cost uplift for EU/US data residency OpenAI charges a 10% uplift on the latest GPT models when requests are served from a regionalized hostname (eu./us.api.openai.com). Infer the region from `api_base`, expose it on `kwargs["litellm_params"]["data_residency"]`, and multiply the computed cost by a per-model `regional_processing_uplift_multiplier_<region>` field. https://claude.ai/code/session_012ebH44s7ohYxjoix5CXzTW * test: allow regional_processing_uplift_multiplier_{eu,us} in model_prices schema * fix(cost): tighten data_residency inference and restore model_cost in tests - Only infer OpenAI data_residency when custom_llm_provider == "openai"; drop the implicit None fallback so non-OpenAI callers can't accidentally pick up a regional tag from a stray OpenAI hostname. - _local_model_cost_map fixture now snapshots and restores litellm.model_cost and LITELLM_LOCAL_MODEL_COST_MAP so tests don't leak state across the session. * refactor(openai): move data_residency helper under llms/openai * fix: thread data_residency through realtime stream cost calculation Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(cost): thread data_residency through batch_cost_calculator Apply the OpenAI regional-processing uplift multiplier to retrieve_batch cost paths so Batch API requests served via eu./us.api.openai.com are priced at the same uplifted token rates as completions/transcriptions. * refactor(openai): encapsulate provider check inside infer_openai_data_residency Move the custom_llm_provider == "openai" guard from get_litellm_params into the helper itself so the core utility no longer carries provider-specific dispatch logic. Callers pass through the provider unconditionally; the helper returns None for any non-OpenAI provider. * fix(responses): thread data_residency through Responses logging params The Responses API paths build their logging litellm_params dict after provider resolution but did not include data_residency, so cost calc saw None even when the effective api_base was a regional OpenAI host. --------- Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> |
||
|---|---|---|
| .. | ||
| chat | ||
| completion | ||
| embeddings/guardrail_translation | ||
| evals | ||
| image_generation | ||
| realtime | ||
| responses | ||
| speech | ||
| transcriptions | ||
| vector_store_files | ||
| vector_stores | ||
| videos | ||
| test_data_residency.py | ||
| test_gpt5_transformation.py | ||
| test_is_model_gpt_5_model.py | ||
| test_o_series_transformation.py | ||
| test_openai_common_utils.py | ||
| test_openai_empty_response.py | ||
| test_openai_file_content_streaming.py | ||
| test_openai_image_edit_transformation.py | ||