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https://github.com/crewAIInc/crewAI.git
synced 2026-10-22 18:03:10 +02:00
Vidit Ostwal
a6e6d0f9d8
* feat(llms): centralize context window definitions * refactor(llm): use shared context window resolver * refactor(llms): share native context window lookup * test(llms): cover context window parity * fix(llms): preserve regional Bedrock context window * chore(llms): refresh provider context window catalogs * fix(llms): restore affected model context windows * fix(llms): add active Azure and Anthropic context windows Record catalog limits for current Azure OpenAI and Claude model IDs so lookups match the providers' active context windows. * fix(llms): sync Gemini and Bedrock context windows Drop retired catalog IDs and record the active Gemini and Bedrock text-model limits from the current provider docs. * fix(llms): add missing OpenAI context windows Record active OpenAI IDs that do not match an existing prefix, including gpt-5.6-cyber so it keeps its 400k window. * fix(llms): keep Gemini thinking snapshot window in sync Restore the retired thinking snapshot so native Gemini and LiteLLM resolve the same 1M context window. * test(llms): drop retired Gemini thinking snapshot from parity The model is no longer in the Gemini catalog, so native and LiteLLM no longer need to agree on its context window. * test(llms): expect Azure GPT-4 and GPT-4o to share a 128k window Azure GPT-4 is no longer smaller than GPT-4o, so the comparison asserted equal usable windows. * fix(llms): address context-window review findings Keep provider catalogs from overwriting each other, restore Gemma and legacy Bedrock Claude windows, and match the global Kimi inference id. * fix(llms): drop unused context-window re-exports from LLM Import the usage ratio from context_window in tests so llm.py no longer re-exports unused constants.