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fix: use text injection for Gemini models to avoid thought signature errors
Gemini 3+ models have strict validation requiring thoughtSignature on functionCall parts. When the plugin injects synthetic assistant messages with tool parts, providers without robust signature handling will fail with 400 errors.
This change detects Gemini models and injects as text parts instead of tool parts, avoiding the thought signature requirement entirely.
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