/4 Adding Flexibility – Supporting Multiple LLM Models (Solidsight v8)

Expanding the Tool's Capabilities

Smart contract analyses can vary greatly in complexity and purpose. Realising this, I added support for multiple LLM models, allowing users to tailor analyses according to specific needs. This flexibility transformed Solidsight into a much more versatile tool.

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Multi-model Support

I introduced a simple yet effective model-selection prompt using Rich:

pythonCopyEditanalysis_model = Prompt.ask(
    "Select your analysis model", 
    choices=["deepseek-r1", "qwen2.5-coder:3b", "gemma3:4b"], 
    default="deepseek-r1"
)

Challenges in Implementation

Different models required slight prompt adjustments due to their varied interpretations and output formats. It took careful prompt engineering and extensive testing to achieve consistency across models.

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Lessons Learned

The value of modular design became clear—flexibility allowed Solidsight to adapt easily to varying analysis requirements.

We will stop here, and I’ll see you on the next one.

pxng0lin.