Augment Code(@augmentcode)
Augment can do this because we are model agnostic. No single model wins every task, so we give our c...
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TL;DR · AI 摘要
Augment Code 提出模型无关（model-agnostic）架构，通过每轮动态路由（per-turn routing）在多个前沿大模型间智能调度，而非会话初固定选择。
核心要点
- 模型无关性是核心设计原则，避免绑定单一模型能力瓶颈。
- Prism 架构基于动态每轮路由，比会话级静态路由更适配多任务场景。
- 客户可统一接入所有行业领先模型，由系统自动匹配最优模型执行当前子任务。
结构提纲
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思维导图
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查看大纲文本（无障碍 / 无 JS 友好）
- Prism 模型路由架构
- 模型无关性
- 解耦应用逻辑与模型实现
- 动态路由机制
- per-turn 决策
- 非 session-level 固定
- 模型池
- 集成多家前沿模型
- 统一抽象接口
金句 / Highlights
值得收藏与分享的关键句。
Augment can do this because we are model agnostic.
No single model wins every task, so we give our customers access to all the industry leaders.
That's the foundation Prism is built on: a pool of frontier models, with the routing decision made per turn rather than at the start.
#AI infra#LLM orchestration#model routing#Augment Code
打开原文That's the foundation Prism is built on: a pool of frontier models, with the routing decision made per turn rather than at the start" / X
Augment Code on X: "Augment can do this because we are model agnostic. No single model wins every task, so we give our customers access to all the industry leaders. That's the foundation Prism is built on: a pool of frontier models, with the routing decision made per turn rather than at the start" / X
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Augment can do this because we are model agnostic. No single model wins every task, so we give our customers access to all the industry leaders. That's the foundation Prism is built on: a pool of frontier models, with the routing decision made per turn rather than at the start of a session.
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