> ## 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.

# Code Generation

> Code generation example with DeepSeek-Coder.

Generate Python code with DeepSeek Coder served by vLLM.

```python code_generation.py theme={null}
"""Code generation example with DeepSeek-Coder.
Run vLLM model: vllm serve deepseek-ai/deepseek-coder-6.7b-instruct \
        --dtype float32 \
        --tool-call-parser pythonic
"""

from agno.agent import Agent
from agno.models.vllm import VLLM

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=VLLM(id="deepseek-ai/deepseek-coder-6.7b-instruct"),
    description="You are an expert Python developer.",
    markdown=True,
)

agent.print_response(
    "Write a Python function that returns the nth Fibonacci number using dynamic programming."
)

# ---------------------------------------------------------------------------
# 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 openai
```

**2. Export your vLLM API key**

```bash Mac/Linux theme={null}
export VLLM_API_KEY="your_vllm_api_key_here"
```

```bash Windows theme={null}
$Env:VLLM_API_KEY="your_vllm_api_key_here"
```

**3. Install vLLM**

Install vLLM on a [supported platform](https://docs.vllm.ai/en/latest/getting_started/installation/) with a compatible accelerator:

```bash theme={null}
uv pip install -U vllm
```

**4. Start vLLM**

In a separate terminal with the virtual environment active, serve the model used by this example:

```bash theme={null}
vllm serve deepseek-ai/deepseek-coder-6.7b-instruct --dtype float32 --tool-call-parser pythonic
```

**5. Run the example**

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

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

Full source: [cookbook/90\_models/vllm/code\_generation.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/vllm/code_generation.py)


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