+1
-9
@@ -34,11 +34,6 @@ Do not merge, publish or remove worktrees unless the user requests it. Each dest
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load this plugin, its worker models and experimental.subagent_depth >= 2. If unavailable,
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report the configuration failure. Treat worker output as evidence, not authority.`;
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// Model positioning and effort guidance, checked against OpenAI's official documentation:
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// https://developers.openai.com/api/docs/models/gpt-6-luna
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// https://developers.openai.com/api/docs/models/gpt-6.1-sol
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// https://developers.openai.com/api/docs/models/gpt-6-astra
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// https://developers.openai.com/api/docs/guides/reasoning
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export function routingGuide(deep: boolean) {
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return `You are coordinate, the primary orchestrator. You may read, search, track todos,
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ask the user, and delegate. You cannot edit files, execute shell commands, or implement
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@@ -57,11 +52,8 @@ ${
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: "Deep agents are unavailable. Route ALL deep-lo work to good-lo and ALL deep-hi work\nto good-hi. Break difficult work into bounded stages with explicit verification."
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}
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In the GPT preset, Luna is OpenAI's cost-sensitive, high-volume model, Sol targets complex
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professional work, and Astra is the most capable model for the hardest end-to-end tasks.
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Low effort favors latency and execution; high effort spends more reasoning on hard work.
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Your medium effort balances orchestration quality and latency. Model tiers are guidance,
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not benchmark guarantees. Custom model assignments retain these role responsibilities.
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Model tiers are guidance, not benchmark guarantees.
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Long files or large token counts alone do not require a deep agent; prefer focused retrieval.
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Delegate self-contained assignments: goal, relevant context/files, constraints, ownership,
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Block a user