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docs: tighten subscription guidance and update MiniMax M2.5 refs
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@@ -516,7 +516,7 @@ Even with strong system prompts, **prompt injection is not solved**. System prom
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- Run sensitive tool execution in a sandbox; keep secrets out of the agent’s reachable filesystem.
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- Note: sandboxing is opt-in. If sandbox mode is off, exec runs on the gateway host even though tools.exec.host defaults to sandbox, and host exec does not require approvals unless you set host=gateway and configure exec approvals.
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- Limit high-risk tools (`exec`, `browser`, `web_fetch`, `web_search`) to trusted agents or explicit allowlists.
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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 4.6 (or the latest Opus) because it’s strong at recognizing prompt injections (see [“A step forward on safety”](https://www.anthropic.com/news/claude-opus-4-5)).
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- **Model choice matters:** older/legacy models can be less robust against prompt injection and tool misuse. Prefer the strongest latest-generation, instruction-hardened model available for any bot with tools.
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Red flags to treat as untrusted:
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@@ -570,7 +570,7 @@ Prompt injection resistance is **not** uniform across model tiers. Smaller/cheap
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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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- **Avoid older/weaker tiers** 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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- When running small models, **enable sandboxing for all sessions** and **disable web_search/web_fetch/browser** unless inputs are tightly controlled.
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- For chat-only personal assistants with trusted input and no tools, smaller models are usually fine.
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