> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-update-deprecated-models.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Portkey

> Use Portkey AI Gateway for multi-provider routing with Agno agents.

Portkey is an AI Gateway that provides a unified interface to access multiple AI providers with advanced features like routing, load balancing, retries, and observability. Use Portkey to build production-ready AI applications with better reliability and cost optimization.

With Portkey, you can:

* Route requests across multiple AI providers
* Implement fallback mechanisms for better reliability
* Monitor and analyze your AI usage
* Cache responses for cost optimization
* Apply rate limiting and usage controls

## Authentication

You need both a Portkey API key and a virtual key for model routing. Get them [from Portkey here](https://app.portkey.ai/).

<CodeGroup>
  ```bash Mac theme={null}
  export PORTKEY_API_KEY=***
  export PORTKEY_VIRTUAL_KEY=***
  ```

  ```bash Windows theme={null}
  setx PORTKEY_API_KEY ***
  setx PORTKEY_VIRTUAL_KEY ***
  ```
</CodeGroup>

## Example

Use `Portkey` with your `Agent`:

<CodeGroup>
  ```python agent.py theme={null}
  from agno.agent import Agent
  from agno.models.portkey import Portkey

  agent = Agent(
      model=Portkey(id="gpt-5-mini"),
      markdown=True
  )

  # Print the response in the terminal
  agent.print_response("What is Portkey and why would I use it as an AI gateway?")
  ```
</CodeGroup>

## Advanced Configuration

You can configure Portkey with custom routing and retry policies:

```python theme={null}
from agno.agent import Agent
from agno.models.portkey import Portkey

config = {
    "strategy": {
        "mode": "fallback"
    },
    "targets": [
        {"virtual_key": "openai-key"},
        {"virtual_key": "anthropic-key"}
    ]
}

agent = Agent(
    model=Portkey(
        id="gpt-5-mini",
        config=config,
    ),
)
```

<Note> View more examples [here](/models/providers/gateways/portkey/usage/basic-stream). </Note>

## Params

| Parameter         | Type                       | Default                       | Description                                                     |
| ----------------- | -------------------------- | ----------------------------- | --------------------------------------------------------------- |
| `id`              | `str`                      | `"gpt-4o-mini"`               | The id of the model to use through Portkey                      |
| `name`            | `str`                      | `"Portkey"`                   | The name of the model                                           |
| `provider`        | `str`                      | `"Portkey"`                   | The provider of the model                                       |
| `portkey_api_key` | `Optional[str]`            | `None`                        | The API key for Portkey (defaults to PORTKEY\_API\_KEY env var) |
| `base_url`        | `str`                      | `"https://api.portkey.ai/v1"` | The base URL for the Portkey API                                |
| `virtual_key`     | `Optional[str]`            | `None`                        | The virtual key for the underlying provider                     |
| `config`          | `Optional[Dict[str, Any]]` | `None`                        | Portkey configuration (routing, retries, etc.)                  |

`Portkey` also supports the params of [OpenAI](/reference/models/openai).

<Tip>
  The `base_url` parameter is the endpoint for the Portkey AI Gateway.
  Default value is "[https://api.portkey.ai/v1](https://api.portkey.ai/v1)" for the standard managed Portkey service.

  You only need to specify this if you are using a self-hosted instance of Portkey or a
  specific enterprise endpoint.
</Tip>