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Documentation Index

Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

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Code

cookbook/11_models/groq/translation_agent.py
import base64
from pathlib import Path

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.models.groq import GroqTools
from agno.utils.media import save_base64_data

path = "tmp/sample-fr.mp3"

agent = Agent(
    name="Groq Translation Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[GroqTools()],
    cache_session=True,
)

response = agent.run(
    f"Let's transcribe the audio file located at '{path}' and translate it to English. After that generate a new music audio file using the translated text."
)

if response and response.audio:
    base64_audio = base64.b64encode(response.audio[0].content).decode("utf-8")
    save_base64_data(base64_audio, Path("tmp/sample-en.mp3"))  # type: ignore

​
Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Set your API key

export GROQ_API_KEY=xxx
export OPENAI_API_KEY=xxx
3

Install dependencies

uv pip install -U groq openai agno
4

Run Agent

python cookbook/11_models/groq/translation_agent.py