Embeddings

POST https://aiapiv2.pekpik.com/v1/embeddings

curl https://aiapiv2.pekpik.com/v1/embeddings \
  -H "Authorization: Bearer $PEKPIK_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "The quick brown fox"
  }'

resp = client.embeddings.create(
    model="text-embedding-3-small",
    input=["first text", "second text"],
)
vectors = [d.embedding for d in resp.data]

Field	Description
model	e.g. text-embedding-3-small, text-embedding-3-large.
input	A string or array of strings.
dimensions	Optional output dimensionality (where the model supports it).

Embedding models bill on input tokens only.