NeriaNeria.Meridian
Openai integration

Create embeddings (OpenAI format)

POST/openai/v1/embeddings

Creates embedding vectors for the input text.

Note: This endpoint also works without the /v1 prefix (e.g., /openai/embeddings).

Request Body

application/json

TypeScript Definitions

Use the request body type in TypeScript.

Response Body

application/json

application/json

application/json

curl -X POST "http://localhost:8080/openai/v1/embeddings" \  -H "Content-Type: application/json" \  -d '{    "model": "text-embedding-3-small",    "input": "string"  }'
{
  "data": [
    {
      "index": 0,
      "object": "string",
      "embedding": "string"
    }
  ],
  "model": "string",
  "object": "string",
  "usage": {
    "prompt_tokens": 0,
    "prompt_tokens_details": {
      "text_tokens": 0,
      "audio_tokens": 0,
      "image_tokens": 0,
      "cached_read_tokens": 0,
      "cached_write_tokens": 0
    },
    "completion_tokens": 0,
    "completion_tokens_details": {
      "text_tokens": 0,
      "accepted_prediction_tokens": 0,
      "audio_tokens": 0,
      "citation_tokens": 0,
      "num_search_queries": 0,
      "reasoning_tokens": 0,
      "image_tokens": 0,
      "rejected_prediction_tokens": 0
    },
    "total_tokens": 0,
    "cost": {
      "input_tokens_cost": 0,
      "output_tokens_cost": 0,
      "reasoning_tokens_cost": 0,
      "citation_tokens_cost": 0,
      "search_queries_cost": 0,
      "request_cost": 0,
      "total_cost": 0
    }
  },
  "extra_fields": {
    "request_type": "string",
    "provider": "openai",
    "model_requested": "string",
    "model_deployment": "string",
    "latency": 0,
    "chunk_index": 0,
    "raw_request": {},
    "raw_response": {},
    "cache_debug": {
      "cache_hit": true,
      "cache_id": "string",
      "hit_type": "string",
      "requested_provider": "string",
      "requested_model": "string",
      "provider_used": "string",
      "model_used": "string",
      "input_tokens": 0,
      "threshold": 0,
      "similarity": 0
    }
  }
}
{
  "event_id": "string",
  "type": "string",
  "is_bifrost_error": true,
  "status_code": 0,
  "error": {
    "type": "string",
    "code": "string",
    "message": "string",
    "param": "string",
    "event_id": "string"
  },
  "extra_fields": {
    "provider": "openai",
    "model_requested": "string",
    "request_type": "string"
  }
}
{
  "event_id": "string",
  "type": "string",
  "is_bifrost_error": true,
  "status_code": 0,
  "error": {
    "type": "string",
    "code": "string",
    "message": "string",
    "param": "string",
    "event_id": "string"
  },
  "extra_fields": {
    "provider": "openai",
    "model_requested": "string",
    "request_type": "string"
  }
}

Create file in container (OpenAI format) POST

Creates a new file in a container. You can either upload file content directly via multipart/form-data or reference an existing file by its ID. Note: This endpoint also works without the /v1 prefix (e.g., /openai/containers/{container_id}/files).

Create image POST

Generates images from text prompts using OpenAI-compatible format. Note: Azure OpenAI deployments are also supported via the Azure integration endpoint. Note: This endpoint also works without the /v1 prefix (e.g., /openai/images/generations).