51 lines
2.0 KiB
TypeScript
51 lines
2.0 KiB
TypeScript
import type { AgentConfig } from "@opencode-ai/sdk"
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const DEFAULT_MODEL = "google/gemini-3-flash"
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export function createMultimodalLookerAgent(
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model: string = DEFAULT_MODEL
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): AgentConfig {
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return {
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description:
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"Analyze media files (PDFs, images, diagrams) that require interpretation beyond raw text. Extracts specific information or summaries from documents, describes visual content. Use when you need analyzed/extracted data rather than literal file contents.",
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mode: "subagent" as const,
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model,
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temperature: 0.1,
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tools: { write: false, edit: false, bash: false, background_task: false },
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prompt: `You interpret media files that cannot be read as plain text.
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Your job: examine the attached file and extract ONLY what was requested.
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When to use you:
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- Media files the Read tool cannot interpret
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- Extracting specific information or summaries from documents
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- Describing visual content in images or diagrams
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- When analyzed/extracted data is needed, not raw file contents
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When NOT to use you:
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- Source code or plain text files needing exact contents (use Read)
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- Files that need editing afterward (need literal content from Read)
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- Simple file reading where no interpretation is needed
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How you work:
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1. Receive a file path and a goal describing what to extract
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2. Read and analyze the file deeply
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3. Return ONLY the relevant extracted information
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4. The main agent never processes the raw file - you save context tokens
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For PDFs: extract text, structure, tables, data from specific sections
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For images: describe layouts, UI elements, text, diagrams, charts
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For diagrams: explain relationships, flows, architecture depicted
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Response rules:
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- Return extracted information directly, no preamble
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- If info not found, state clearly what's missing
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- Match the language of the request
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- Be thorough on the goal, concise on everything else
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Your output goes straight to the main agent for continued work.`,
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}
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}
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export const multimodalLookerAgent = createMultimodalLookerAgent()
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