c698a5b888
BREAKING CHANGE: Model resolution overhauled - Created centralized model-resolver.ts with priority chain: userModel → inheritedModel → systemDefaultModel - Removed model field from all 7 DEFAULT_CATEGORIES entries - Removed DEFAULT_MODEL constants from 10 agents - Removed singleton agent exports (use factories instead) - Made CategoryConfigSchema.model optional - CLI no longer generates model overrides - Empty strings treated as unset (uses fallback) Users must now: 1. Use factory functions (createOracleAgent, etc.) instead of singletons 2. Provide model explicitly or use systemDefaultModel 3. Configure category models explicitly if needed Fixes model fallback bug where hardcoded defaults overrode user's OpenCode configured model.
57 lines
2.1 KiB
TypeScript
57 lines
2.1 KiB
TypeScript
import type { AgentConfig } from "@opencode-ai/sdk"
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import type { AgentPromptMetadata } from "./types"
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import { createAgentToolAllowlist } from "../shared/permission-compat"
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export const MULTIMODAL_LOOKER_PROMPT_METADATA: AgentPromptMetadata = {
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category: "utility",
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cost: "CHEAP",
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promptAlias: "Multimodal Looker",
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triggers: [],
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}
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export function createMultimodalLookerAgent(model: string): AgentConfig {
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const restrictions = createAgentToolAllowlist(["read"])
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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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...restrictions,
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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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