PUT _inference/text_embedding/test-text-embedding
{
    "service": "custom",
    "service_settings": {
        "secret_parameters": {
            "api_key": "<api key>"
        },
        "url": "https://api.cohere.com/v2/embed",
        "headers": {
            "Authorization": "bearer ${api_key}",
            "Content-Type": "application/json"
        },
        "request": "{\"texts\": ${input}, \"model\": \"embed-v4.0\", \"input_type\": ${input_type}, \"embedding_types\": [\"binary\"]}",
        "response": {
            "json_parser": {
                "text_embeddings":"$.embeddings.binary[*]",
                "embedding_type": "binary"
            }
        },
        "input_type": {
            "translation": {
                "ingest": "search_document",
                "search": "search_query"
            },
            "default": "search_document"
        }
    }
}

POST _inference/text_embedding/test-text-embedding
{
    "input": ["The quick brown fox jumps over the lazy dog", "awesome"]
}