Files
oh-my-openagent/src/agents/multimodal-looker.ts
justsisyphus 3b5d18e6bf fix(agents): exclude subagents from UI model selection override
Subagents (explore, librarian, oracle, etc.) now use their own fallback
chain instead of inheriting the UI-selected model. This fixes the issue
where explore agent was incorrectly using Opus instead of Haiku.

- Add AgentMode type and static mode property to AgentFactory
- Each agent declares its own mode via factory.mode = MODE pattern
- createBuiltinAgents() checks source.mode before passing uiSelectedModel
2026-01-30 13:49:40 +09:00

59 lines
2.2 KiB
TypeScript

import type { AgentConfig } from "@opencode-ai/sdk"
import type { AgentMode, AgentPromptMetadata } from "./types"
import { createAgentToolAllowlist } from "../shared/permission-compat"
const MODE: AgentMode = "subagent"
export const MULTIMODAL_LOOKER_PROMPT_METADATA: AgentPromptMetadata = {
category: "utility",
cost: "CHEAP",
promptAlias: "Multimodal Looker",
triggers: [],
}
export function createMultimodalLookerAgent(model: string): AgentConfig {
const restrictions = createAgentToolAllowlist(["read"])
return {
description:
"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. (Multimodal-Looker - OhMyOpenCode)",
mode: MODE,
model,
temperature: 0.1,
...restrictions,
prompt: `You interpret media files that cannot be read as plain text.
Your job: examine the attached file and extract ONLY what was requested.
When to use you:
- Media files the Read tool cannot interpret
- Extracting specific information or summaries from documents
- Describing visual content in images or diagrams
- When analyzed/extracted data is needed, not raw file contents
When NOT to use you:
- Source code or plain text files needing exact contents (use Read)
- Files that need editing afterward (need literal content from Read)
- Simple file reading where no interpretation is needed
How you work:
1. Receive a file path and a goal describing what to extract
2. Read and analyze the file deeply
3. Return ONLY the relevant extracted information
4. The main agent never processes the raw file - you save context tokens
For PDFs: extract text, structure, tables, data from specific sections
For images: describe layouts, UI elements, text, diagrams, charts
For diagrams: explain relationships, flows, architecture depicted
Response rules:
- Return extracted information directly, no preamble
- If info not found, state clearly what's missing
- Match the language of the request
- Be thorough on the goal, concise on everything else
Your output goes straight to the main agent for continued work.`,
}
}
createMultimodalLookerAgent.mode = MODE