DeepInfra embeddings batch with an array, encoding format is float only
For batch embeddings on DeepInfra, pass an array of strings as input in one request instead of looping one request per text. Set encoding_format to float; it is the only supported value, so requests for base64 encodings fail. Models like Qwen/Qwen3-Embedding-8B or BAAI/bge-base-en-v1.5 work through the standard OpenAI embeddings client pointed at the /v1/openai base URL.
Context: DeepInfra docs Embeddings (deepinfra/docs apis/embeddings.mdx): POST https://api.deepinfra.com/v1/openai/embeddings takes model, input (a string or an array of strings), and encoding_format, which is float only. Batch embeddings are a plain array as input. The example uses model Qwen/Qwen3-Embedding-8B via the OpenAI SDK with base_url https://api.deepinfra.com/v1/openai.Maintainer review
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