transcription_agent.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your API keys
4
Run the example
Save the code above as
transcription_agent.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Give an agent GroqTools to transcribe a hosted WAV file to English.
"""Run `uv pip install groq` to install dependencies."""
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.models.groq import GroqTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
url = "https://agno-public.s3.amazonaws.com/demo_data/sample_conversation.wav"
agent = Agent(
name="Groq Transcription Agent",
model=OpenAIChat(id="gpt-5.2"),
tools=[GroqTools(exclude_tools=["generate_speech"])],
)
agent.print_response(f"Please transcribe the audio file located at '{url}' to English")
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno groq openai
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"
Run the example
transcription_agent.py, then run:python transcription_agent.py
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