More APIs

Embeddings

Generate embedding vectors from text using the OpenAI-compatible embeddings API.

DEVUP AI supports the OpenAI embeddings API for all embedding models.

bash

POST https://api.devupai.com/v1/embeddings

Example

from openai import OpenAI

client = OpenAI(
    api_key="$DEVUP_API_KEY",
    base_url="https://api.devupai.com/v1",
)

input_text = "The food was delicious and the waiter..."
# Or a list: ["hello", "world"]

embeddings = client.embeddings.create(
    model="Qwen/Qwen3-Embedding-8B",
    input=input_text,
    encoding_format="float"
)

print(embeddings.data[0].embedding)
print(embeddings.usage.prompt_tokens)

Batch embeddings

Pass an array as input to embed multiple texts in a single request:

python

embeddings = client.embeddings.create(
    model="Qwen/Qwen3-Embedding-8B",
    input=["Hello", "World", "How are you?"],
    encoding_format="float"
)

for i, item in enumerate(embeddings.data):
    print(f"Text {i}: {item.embedding[:5]}...")  # First 5 dims

Supported parameters

Parameter	Notes
model	Embedding model name
input	String or array of strings
encoding_format	`float` only

Available models

Browse all embedding models — includes Qwen3 Embedding, BAAI/bge, sentence-transformers, and more.

Text Completions

Reranking