> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Transcription Agent

> Give an agent GroqTools to transcribe a hosted WAV file to English.

```python transcription_agent.py theme={null}
"""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
```

## Run the Example

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno groq openai
```

**2. Export your API keys**

```bash Mac/Linux theme={null}
export GROQ_API_KEY="your_groq_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:GROQ_API_KEY="your_groq_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

Save the code above as `transcription_agent.py`, then run:

```bash theme={null}
python transcription_agent.py
```

Full source: [cookbook/90\_models/groq/transcription\_agent.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/groq/transcription_agent.py)


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