Haystack Integration
Haystack by deepset is an open-source framework for building production-ready LLM applications, RAG pipelines, and search systems. It provides modular components for document processing, retrieval, and generation.
Haystack's OpenAI generators support custom base URLs.
Prerequisites
- An LLM API account with an API key
- Haystack installed or accessible
Setup
Get Your LLM API Key
- Log in to your LLM API dashboard
- Click Create Key to Start
- Copy your new API key immediately — it will only be shown once
- Store the key securely (e.g., in a password manager or
.env file)
INFO
LLM API is an OpenAI-compatible gateway that gives you access to dozens of AI models through a
single API key and endpoint.
Configure LLM API in Haystack
- Install Haystack:
pip install haystack-ai
- Configure:
from haystack.components.generators.chat import OpenAIChatGenerator
generator = OpenAIChatGenerator(
model="openai/gpt-4o",
api_key=Secret.from_token("your-llm-api-key-here"),
api_base_url="https://api.llmapi.ai/v1"
)
- Use the generator in your Haystack pipeline.
Test the Integration
Verify that Haystack can successfully communicate with LLM API by sending a test request. All requests will now be routed through LLM API.
INFO
Haystack's pipeline architecture lets you combine LLM API models with retrievers and
preprocessors.
Benefits of Using LLM API with Haystack
- Multi-Provider Access: Use models from OpenAI, Anthropic, Google, and more through a single API
- Cost Control: Track and limit your AI spending with detailed usage analytics
- Unified Billing: One account for all providers instead of managing multiple API keys
- Caching: Reduce costs with response caching for repeated requests
INFO
View all available models on the models page.