translation_agent.py
"""
Groq Translation Agent
======================
Cookbook example for `groq/translation_agent.py`.
"""
import base64
from pathlib import Path
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.models.groq import GroqTools
from agno.utils.media import save_base64_data
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
path = "tmp/sample-fr.mp3"
agent = Agent(
name="Groq Translation Agent",
model=OpenAIChat(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
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno groq openai
3
Export your API keys
export GROQ_API_KEY="your_groq_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:GROQ_API_KEY="your_groq_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
translation_agent.py, then run:python translation_agent.py