# Agno

URL: https://docs.hanzo.ai/docs/guides/integrations/agno

> OpenAILike takes base_url. A sibling class reaches the responses shape on the same parameter.

`OpenAILike` takes **`base\_url`**. It extends the OpenAI-compatible interface, so every parameter of `OpenAIChat\` works on it too.

```bash
pip install agno openai
```

```python
from agno.agent import Agent
from agno.models.openai.like import OpenAILike

model = OpenAILike(
    id="zen6",
    api_key="sk-...",
    base_url="https://api.hanzo.ai/v1",
)

agent = Agent(model=model)
agent.print_response("Share a 2 sentence horror story.")
```

Lands on `POST /v1/chat/completions`.

`id` defaults to `not-provided`, so it is the one field you must set. `OpenResponses` from `agno.models.openai` is the sibling on the same `base_url` parameter and reaches `POST /v1/responses`.

## MCP

`MCPTools` takes `transport` and `url`.

```python
from agno.agent import Agent
from agno.tools.mcp import MCPTools

mcp_tools = MCPTools(
    transport="streamable-http",
    url="https://api.hanzo.ai/v1/mcp",
    headers={"Authorization": "Bearer sk-..."},
)

agent = Agent(id="hanzo-agent", name="Hanzo Agent", model=model, tools=[mcp_tools])
```

Two things the docs flag. Do not serve AgentOS with `reload=True` while `MCPTools` is attached. And the connection is not refreshed on its own — set `refresh_connection=True` for a long-lived agent.