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

# Code Generation

> Code generation example with DeepSeek-Coder.

Code generation example with DeepSeek-Coder. Run vLLM model: vllm serve deepseek-ai/deepseek-coder-6.7b-instruct         --dtype float32         --tool-call-parser pythonic

```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

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Run the example">
    Save the code above as `code_generation.py`, then run:

    ```bash theme={null}
    python code_generation.py
    ```
  </Step>
</Steps>

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