How to reason about embedding models and how the Gateway surfaces them.
POST /embeddings surface while adapting provider-specific knobs for Google Gemini and Mistral when they are supplied.
Key request fields:
input (required): A string or array of strings to embed.inputs (alias): Optional alias for input if you prefer that shape.dimensions: Standard OpenAI output size hint.embedding_options: Provider-specific tuning knobs.
embedding_options.google.output_dimensionality, embedding_options.google.task_type, embedding_options.google.titleembedding_options.mistral.output_dimension, embedding_options.mistral.output_dtypeembeddings under their supported endpoints array. The same authentication headers you use elsewhere apply here as well.Bearer token authentication