feat: warn on weak model tiers
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@@ -161,6 +161,15 @@ Even with strong system prompts, **prompt injection is not solved**. What helps
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- Run sensitive tool execution in a sandbox; keep secrets out of the agent’s reachable filesystem.
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- **Model choice matters:** older/legacy models can be less robust against prompt injection and tool misuse. Prefer modern, instruction-hardened models for any bot with tools. We recommend Anthropic Opus 4.5 because it’s quite good at recognizing prompt injections (see [“A step forward on safety”](https://www.anthropic.com/news/claude-opus-4-5)).
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### Model strength (security note)
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Prompt injection resistance is **not** uniform across model tiers. Smaller/cheaper models are generally more susceptible to tool misuse and instruction hijacking, especially under adversarial prompts.
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Recommendations:
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- **Use the latest generation, best-tier model** for any bot that can run tools or touch files/networks.
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- **Avoid weaker tiers** (for example, Sonnet or Haiku) for tool-enabled agents or untrusted inboxes.
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- If you must use a smaller model, **reduce blast radius** (read-only tools, strong sandboxing, minimal filesystem access, strict allowlists).
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## Reasoning & verbose output in groups
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`/reasoning` and `/verbose` can expose internal reasoning or tool output that
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