Aimlapi Basic

Run an AIMLAPI agent four ways: sync, async, and streaming variants of each.

These retained examples come from the source revision linked below. Use the installation and model configuration in the AI/ML API guide, or use the compatible OpenAILike adaptation below with an older package.

basic.py
"""
Aimlapi Basic
=============

Cookbook example for `aimlapi/basic.py`.
"""

from agno.agent import Agent, RunOutput  # noqa
from agno.models.aimlapi import AIMLAPI
import asyncio

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(model=AIMLAPI(id="gpt-5.2"), markdown=True)

# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)

# Print the response in the terminal

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("Share a 2 sentence horror story")

    # --- Sync + Streaming ---
    agent.print_response("Share a 2 sentence horror story", stream=True)

    # --- Async ---
    asyncio.run(agent.aprint_response("Share a 2 sentence horror story"))

    # --- Async + Streaming ---
    asyncio.run(agent.aprint_response("Share a 2 sentence horror story", stream=True))

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno openai

Export your AI/ML API key

export AIMLAPI_API_KEY="your_aimlapi_api_key_here"

Use the working gateway adapter

In the saved Python file, replace the AIMLAPI import with:

from os import environ
from agno.models.openai.like import OpenAILike

Replace the entire AIMLAPI(...) model expression with:

OpenAILike(
    id="openai/gpt-5-2",
    api_key=environ["AIMLAPI_API_KEY"],
    base_url="https://api.aimlapi.com/v1",
)

Keep the surrounding Agent(...) settings and run calls. This route supports image input as well as text; use the provider's exact IDs when choosing another model.

Run the example

Save the code above as basic.py, then run:

python basic.py

Full source: cookbook/90_models/aimlapi/basic.py