Inference API

Create embeddings

Computes vector embeddings for text, e.g. for your own search or RAG.

POSThttps://api.futureway.ai/v1/embeddings

Authentication

Header: Authorization: Bearer $FUTUREWAY_API_KEY
Scope: inferenceInference API: chat completions, embeddings, model list.
Key kinds: personal · service
Format: OpenAI-compatible

Details on keys and scopes under Authentication.

Parameters

Name	Type	Required	Description
model	string	yes	Embedding alias, e.g. futureway-embed.
input	string	yes	The text to embed.

Example request

curl https://api.futureway.ai/v1/embeddings \
  -H "Authorization: Bearer $FUTUREWAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "futureway-embed",
  "input": "Dein Text hier."
}'

Response

200

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [
        0.0123,
        -0.0456,
        "…"
      ]
    }
  ],
  "model": "futureway-embed",
  "usage": {
    "prompt_tokens": 4,
    "total_tokens": 4
  }
}

Errors

Status	Code	Description
401	unauthorized	No, invalid or revoked API key.
400	invalid_request_error	Invalid request (missing required fields, unknown parameter, body too large).
404	model_not_found	Unknown model id, or a model this key may not address.
429	rate_limit_error	Too many requests in the window; retry-after names the wait.
429	budget_exceeded	The organisation's usage quota is exhausted — no retry helps until the window resets.
503	service_unavailable	The model is temporarily unreachable — retry with backoff.

Formats and handling under Errors.