fix: rewrite title generator to only use user messages; bump background model to qwen2.5:3b
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@@ -27,7 +27,7 @@ class Config:
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# Lightweight model for background tasks (title generation, tag suggestions,
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# project summaries, RSS classification). Using a separate model keeps the
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# main model's KV cache intact between user messages, enabling prefix cache hits.
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OLLAMA_BACKGROUND_MODEL: str = os.environ.get("OLLAMA_BACKGROUND_MODEL", "qwen2.5:0.5b")
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OLLAMA_BACKGROUND_MODEL: str = os.environ.get("OLLAMA_BACKGROUND_MODEL", "qwen2.5:3b")
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# KV cache context window for generation. Keep this as small as practical —
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# a larger context forces more KV cache into CPU RAM, drastically slowing prefill.
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# 16384 covers ~30+ message conversations with our system prompt comfortably.
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