Code
cookbook/11_models/groq/translation_agent.py
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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
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uv venv --python 3.12
source .venv/bin/activate
2
Set your API key
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export GROQ_API_KEY=xxx
export OPENAI_API_KEY=xxx
3
Install dependencies
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uv pip install -U groq openai agno
4
Run Agent
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python cookbook/11_models/groq/translation_agent.py