Integration: EmpirioLabs AI
Use open and proprietary models served by EmpirioLabs
Table of Contents
Overview
EmpirioLabs is a multi-model API platform that hosts open and proprietary models (Qwen, DeepSeek, GLM, Kimi, MiniMax, Gemma, and more) behind one OpenAI-compatible API with pay-as-you-go pricing.
To start using EmpirioLabs, create an API key in the EmpirioLabs dashboard. The full model catalog with per-model context windows and pricing is at empiriolabs.ai/models.
Usage
The EmpirioLabs API is OpenAI compatible, making it easy to use in Haystack via the OpenAI Generators and Embedders.
Using ChatGenerator
Here’s an example of chatting with a model served via EmpirioLabs using the OpenAIChatGenerator.
You need to set the environment variable EMPIRIOLABS_API_KEY and choose a model from the
catalog.
import os
from haystack.components.generators.chat import OpenAIChatGenerator
from haystack.dataclasses import ChatMessage
from haystack.utils import Secret
os.environ["EMPIRIOLABS_API_KEY"] = "YOUR_EMPIRIOLABS_API_KEY"
generator = OpenAIChatGenerator(
api_key=Secret.from_env_var("EMPIRIOLABS_API_KEY"),
api_base_url="https://api.empiriolabs.ai/v1",
model="qwen3-7-plus",
)
result = generator.run([ChatMessage.from_user("What are the main components of a RAG pipeline?")])
print(result["replies"][0].text)
Using TextEmbedder
EmpirioLabs serves OpenAI-compatible embedding models too, so the OpenAI Embedders work the same way:
import os
from haystack.components.embedders import OpenAITextEmbedder
from haystack.utils import Secret
os.environ["EMPIRIOLABS_API_KEY"] = "YOUR_EMPIRIOLABS_API_KEY"
embedder = OpenAITextEmbedder(
api_key=Secret.from_env_var("EMPIRIOLABS_API_KEY"),
api_base_url="https://api.empiriolabs.ai/v1",
model="text-embedding-v4",
)
print(embedder.run("The quick brown fox jumped over the lazy dog")["embedding"][:5])