feat(voyage): add voyage-context-4, voyage-4 family, voyage-4-nano and voyage-multimodal-3.5 - #8
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feat(voyage): add voyage-context-4, voyage-4 family, voyage-4-nano and voyage-multimodal-3.5#8fzowl wants to merge 3 commits into
fzowl wants to merge 3 commits into
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- Add voyage-context-4 (contextual, 120K max tokens, $0.12/1M) - Add voyage-4, voyage-4-large, voyage-4-lite, and free voyage-4-nano - Normalize contextual embedding inputs so a flat list[str] is sent to the API as list[list[str]] (each document a list[str] of chunks) - Update Voyage provider docs and add contextual transformation tests
- Add voyage-multimodal-3.5 embedding model ($0.12/1M, 32k context) - Add pricing/registration tests for voyage-4 family, voyage-context-4, voyage-4-nano, and voyage-multimodal-3.5
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What
Adds the latest Voyage AI models and their pricing to the model cost map, and makes the contextual embeddings path robust to standard
list[str]inputs.New models
voyage/voyage-4voyage/voyage-4-largevoyage/voyage-4-litevoyage/voyage-4-nanovoyage/voyage-context-4voyage/voyage-multimodal-3.5voyage-4-nanois Voyage's free/open-weight model and works with the latestvoyageaipython package.Contextual embeddings
The contextualized embeddings API expects
inputsaslist[list[str]](each document alist[str]of chunks).transform_embedding_requestnow normalizes a plain string or a flatlist[str]into that nested shape, so callers using the standard embedding input still hit the API correctly. Nested inputs pass through unchanged.Files changed
model_prices_and_context_window.json+litellm/model_prices_and_context_window_backup.json— new model entrieslitellm/llms/voyage/embedding/transformation_contextual.py— input normalization tolist[list[str]]docs/my-website/docs/providers/voyage.md— document new modelstests/llm_translation/test_voyage_ai.py,tests/test_litellm/llms/voyage/embedding/test_voyage_contextual_transformation.py— testsTesting
All voyage tests pass.