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- Remove get_llm_provider from TYPE_CHECKING Protocol class
- Function is already imported from main.py via 'from .main import *'
- Fixes mypy error: Name 'get_llm_provider' already defined (possibly by an import)
- Add get_llm_provider to lazy import registry system
- Remove eager import from __init__.py
- Fix circular import by updating internal modules to import directly from source:
- realtime_api/main.py
- router_utils/pattern_match_deployments.py
- Add type stub for get_llm_provider in TYPE_CHECKING block
- Add tests for lazy loading of LLM provider logic functions
This reduces initial import time and memory usage by deferring the import
of get_llm_provider until it's actually accessed.
- /v2/model/info now returns {"data": []} when llm_router is None or model_list is empty
- /model_group/info now returns {"data": []} when llm_model_list is None or empty
- Fixes UI crash on fresh installs with STORE_MODEL_IN_DB=True
- Added 4 unit tests for empty model list scenarios
Adds log_format parameter supporting json_array (default), ndjson, and single formats. NDJSON format enables webhook integrations like Sumo Logic to parse individual log records at ingest time. Defaults to json_array for backward compatibility.
* fix(cost_calculator): correct gpt-image-1 cost calculation using token-based pricing (#13847)
gpt-image-1 uses token-based pricing (like chat models), not pixel-based pricing
like DALL-E. The old code was calculating incorrect costs by treating it as DALL-E.
Changes:
- Update model pricing JSON with correct token-based costs for gpt-image-1
- Add dedicated cost calculator for OpenAI gpt-image models
- Route gpt-image-1 to token-based calculator in cost router
- Add comprehensive tests for the new calculator
* refactor: simplify gpt-image-1 cost calculator using responses API helper
Reuse _transform_response_api_usage_to_chat_usage and generic_cost_per_token
for gpt-image-1 cost calculation since ImageUsage has the same spec as
ResponseAPIUsage.
* Allow get_nested_value dot notation to support escaping for Kubernetes JWT Support
* Add support for team and org alias fields, add docs, tests
* Fix lint issue with max statements in handle jwt logic
