YeonGyu-Kim
d4b9246573
- Create src/shared/opencode-storage-paths.ts with all 4 constants - Update 4 previous declaration sites to import from shared file - Update additional OPENCODE_STORAGE usages for consistency - Re-export from src/shared/index.ts - No duplicate constant declarations remain
53 lines
1.4 KiB
TypeScript
53 lines
1.4 KiB
TypeScript
import { join } from "node:path";
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import { OPENCODE_STORAGE } from "../../shared";
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export const AGENT_USAGE_REMINDER_STORAGE = join(
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OPENCODE_STORAGE,
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"agent-usage-reminder",
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);
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// All tool names normalized to lowercase for case-insensitive matching
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export const TARGET_TOOLS = new Set([
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"grep",
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"safe_grep",
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"glob",
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"safe_glob",
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"webfetch",
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"context7_resolve-library-id",
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"context7_query-docs",
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"websearch_web_search_exa",
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"context7_get-library-docs",
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"grep_app_searchgithub",
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]);
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export const AGENT_TOOLS = new Set([
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"task",
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"call_omo_agent",
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"task",
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]);
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export const REMINDER_MESSAGE = `
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[Agent Usage Reminder]
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You called a search/fetch tool directly without leveraging specialized agents.
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RECOMMENDED: Use task with explore/librarian agents for better results:
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\`\`\`
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// Parallel exploration - fire multiple agents simultaneously
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task(agent="explore", prompt="Find all files matching pattern X")
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task(agent="explore", prompt="Search for implementation of Y")
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task(agent="librarian", prompt="Lookup documentation for Z")
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// Then continue your work while they run in background
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// System will notify you when each completes
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\`\`\`
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WHY:
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- Agents can perform deeper, more thorough searches
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- Background tasks run in parallel, saving time
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- Specialized agents have domain expertise
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- Reduces context window usage in main session
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ALWAYS prefer: Multiple parallel task calls > Direct tool calls
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`;
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