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2 changes: 2 additions & 0 deletions ar/introduction.mdx
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متى يكون خيار آخر أنسب: إذا كان كل ما تحتاجه هو بثّ نص الـ model في route من Next.js، فـ AI SDK وحده أخفّ وأقل سطحًا. وإذا كنت تنشر على Vercel وتريد الـ runtime الخاص بها، فـ eve يناسبها مباشرة. وإذا أردت الـ harness الخاص بـ Claude Code كما هو، فـ Claude Agent SDK يعطيك ذلك بالضبط. وإذا كان فريقك يعمل بـ Python أو يشغّل LangGraph Platform أصلًا، فالبقاء هناك يوفّر عليك stack إضافيًا. قادم من AI SDK؟ اقرأ [الانتقال من AI SDK](/ar/migrating-from-ai-sdk).

لمقارنة ميزة بميزة مع AI SDK وOpenAI Agents SDK وMastra وLangGraph.js، راجع [مقارنة Lousho بغيرها](/ar/comparison).

## الخطوات التالية

- [البدء السريع](/ar/quickstart): جهّز مشروعًا بقالب جاهز، أو شغّل الـ agent المكوّن من خمسة أسطر. المقتطفات تعمل دون اتصال بفضل الـ mock provider المدمج.
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2 changes: 1 addition & 1 deletion ar/translations.json
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2 changes: 2 additions & 0 deletions introduction.mdx
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When something else fits better: if you only need to stream model text in a Next.js route, the AI SDK alone is less surface; if you deploy on Vercel and want its runtime, eve fits it natively; if you want Claude Code's own harness, the Claude Agent SDK gives you exactly that; if your team is on Python or already runs LangGraph Platform, staying there avoids a second stack. Coming from the AI SDK? See [Migrating from the AI SDK](/migrating-from-ai-sdk).

For a feature-by-feature table against the AI SDK, the OpenAI Agents SDK, Mastra and LangGraph.js, see [How Lousho compares](/comparison).

## Next steps

- [Quick start](/quickstart): scaffold a project, or run the five-line agent. The snippets run offline with the built-in mock provider.
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