> ## Documentation Index
> Fetch the complete documentation index at: https://docs.requesty.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Haystack

> Using Requesty router with Haystack

Building an application with Haystack?

Integrating Requesty is a super simple 3 stage process:

* Set your Requesty API key
* Set your Requesty base URL
* Choose one of the 300+ [supported models](https://app.requesty.ai/model-list)

And get immediate value:

* Access to all the best LLMs
* A single API key to access all the providers
* Very clear spending dashboards
* Telemetry and logging out of the box

## Option no. 1 - Configure via environment variables

Set:

* OPENAI\_API\_KEY=\[Your Requesty API key]
* OPENAI\_BASE\_URL="[https://router.requesty.ai/v1](https://router.requesty.ai/v1)"

Change the model parameter to any model, and you're done!

(Yes, you can use Anthropic or any other model without changing anything but the `model` parameter)

```python theme={"dark"}
import os
from dotenv import load_dotenv

from haystack.components.agents import Agent
from haystack.components.generators.chat import OpenAIChatGenerator
from haystack.dataclasses import ChatMessage

# Initialize the agent with Requesty router
agent = Agent(
    chat_generator=OpenAIChatGenerator(
        model="anthropic/claude-sonnet-4-20250514",
    ),
    system_prompt="You are a helpful web agent powered by Requesty router.",
)

# Define the question
question = "What are the benefits of using Requesty router with Haystack?"

# Run the agent and get the response
result = agent.run(messages=[ChatMessage.from_user(question)])

# Print the response
print(result['last_message'].text)
```

## Option no. 2 - Configure the client

Load your Requesty API key any way you want.
Pass the `api_key`, `api_base_url` and set the `model` parameter to any model, and you're done!

(Yes, you can use xAI or any other model without changing anything but the `model` parameter)

```python theme={"dark"}
from haystack.components.agents import Agent
from haystack.components.generators.chat import OpenAIChatGenerator
from haystack.dataclasses import ChatMessage
from haystack.utils import Secret

# Securely load your API key
requesty_api_key = Secret.from_env_var("REQUESTY_API_KEY"),

# Initialize the agent with Requesty router
agent = Agent(
    chat_generator=OpenAIChatGenerator(
        model="xai/grok-4",
        api_key=requesty_api_key,
        api_base_url="https://router.requesty.ai/v1",
    ),
    system_prompt="You are a helpful web agent powered by Requesty router.",
)

# Define the question
question = "What are the benefits of using Requesty router with Haystack?"

# Run the agent and get the response
result = agent.run(messages=[ChatMessage.from_user(question)])

# Print the response
print(result['last_message'].text)
```