将 `tools.ts` 拆分为按功能划分的独立文件,并存放于 `tools/` 目录下,同时更新导入路径;优化 agent 系统提示语,移除冗余的「美图 Agent」前缀。
47 lines
2.0 KiB
TypeScript
47 lines
2.0 KiB
TypeScript
import { execSync } from 'child_process';
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import { runInit, loadJSON, PIPELINE_SCRIPT, PROJECT_ROOT } from './shared';
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import type { ToolDefinition } from './types';
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export const generateImages: ToolDefinition = {
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name: 'generate_images',
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description: '文生图:根据文本提示词生成图片。内部创建临时 manifest 并调用 pipeline images 阶段,支持批量生成。生成结果写入 output 目录,返回图片文件路径列表。',
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input_schema: {
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type: 'object',
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properties: {
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accountId: { type: 'string', description: '账号ID,用于继承模型、参考图等配置' },
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prompt: { type: 'string', description: '图片提示词(imagePrompt),描述要生成的图片内容' },
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count: { type: 'number', description: '生成图片数量,默认 1' },
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imageModel: { type: 'string', description: '生图模型(可选,默认继承账号配置): gemini, mj, gpt-image, kling' },
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},
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required: ['accountId', 'prompt'],
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},
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execute: async (params) => {
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const { accountId, prompt, count, imageModel } = params as Record<string, unknown>;
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const num = Math.max(1, Number(count) || 1);
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const items = Array.from({ length: num }, (_, i) => ({
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id: i + 1,
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shotDesc: prompt as string,
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script: '',
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imagePrompt: prompt as string,
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keyword: 'generated',
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}));
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const manifestPath = runInit({
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account: accountId as string,
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mode: 'single',
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items,
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imageModel: imageModel as string | undefined,
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});
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execSync(`node "${PIPELINE_SCRIPT}" run --manifest "${manifestPath}" --phase images`, {
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cwd: PROJECT_ROOT, encoding: 'utf-8',
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});
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const manifest = loadJSON(manifestPath) as { items?: Array<{ id: number; file?: string; candidates?: string[]; status?: string }> };
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const results = (manifest.items || []).map((item) => ({
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id: item.id,
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file: item.file || null,
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candidates: item.candidates || [],
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status: item.status,
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}));
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return JSON.stringify({ manifestPath, images: results }, null, 2);
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},
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};
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