curl --request POST \
  --url http://localhost:8080/pydanticai/v1/embeddings \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "text-embedding-3-small",
  "input": "<string>",
  "encoding_format": "float",
  "dimensions": 123,
  "user": "<string>",
  "fallbacks": [
    "<string>"
  ]
}
'

{
  "data": [
    {
      "index": 123,
      "object": "<string>",
      "embedding": "<string>"
    }
  ],
  "model": "<string>",
  "object": "<string>",
  "usage": {
    "prompt_tokens": 123,
    "prompt_tokens_details": {
      "text_tokens": 123,
      "audio_tokens": 123,
      "image_tokens": 123,
      "cached_tokens": 123
    },
    "completion_tokens": 123,
    "completion_tokens_details": {
      "text_tokens": 123,
      "accepted_prediction_tokens": 123,
      "audio_tokens": 123,
      "citation_tokens": 123,
      "num_search_queries": 123,
      "reasoning_tokens": 123,
      "image_tokens": 123,
      "rejected_prediction_tokens": 123,
      "cached_tokens": 123
    },
    "total_tokens": 123,
    "cost": {
      "input_tokens_cost": 123,
      "output_tokens_cost": 123,
      "request_cost": 123,
      "total_cost": 123
    }
  },
  "extra_fields": {
    "request_type": "<string>",
    "provider": "openai",
    "model_requested": "<string>",
    "model_deployment": "<string>",
    "latency": 123,
    "chunk_index": 123,
    "raw_request": {},
    "raw_response": {},
    "cache_debug": {
      "cache_hit": true,
      "cache_id": "<string>",
      "hit_type": "<string>",
      "provider_used": "<string>",
      "model_used": "<string>",
      "input_tokens": 123,
      "threshold": 123,
      "similarity": 123
    }
  }
}