From 1ab23e181f8f96aa0adb06b19b130dca10426d93 Mon Sep 17 00:00:00 2001
From: Simon <10131203+gaomeng1900@users.noreply.github.com>
Date: Sat, 17 Jan 2026 01:23:23 +0800
Subject: [PATCH] chore: clean up

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 packages/website/README.md |  1 -
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diff --git a/packages/llms/README.md b/packages/llms/README.md
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-# @page-agent/llms
-
-LLM client with a **reflection-before-action** mental model for page-agent.
-
-## Why This Package Exists
-
-The LLM module and the agent logic are inherently coupled. This package exists not to decouple them, but to **define the interface contract** between the LLM and the agent.
-
-The core abstraction is the `MacroToolInput` — a structured output format that **forces the model to reflect before acting**.
-
-## The Reflection-Before-Action Model
-
-Every tool call must first output its reasoning state before the actual action:
-
-```typescript
-interface MacroToolInput {
-  // Reflection (mandatory before any action)
-  evaluation_previous_goal?: string  // How well did the previous action work?
-  memory?: string                     // Key information to remember
-  next_goal?: string                  // What to accomplish next
-
-  // Action (the actual operation)
-  action: Record<string, any>
-}
-```
-
-This design ensures that:
-
-1. **The model evaluates its previous action** before deciding the next step
-2. **Working memory is explicitly maintained** across conversation turns
-3. **Goals are clearly stated**, making the agent's reasoning transparent and debuggable
-
-## Key Components
-
-| Export | Description |
-|--------|-------------|
-| `LLM` | Main LLM client class with retry logic |
-| `MacroToolInput` | The reflection-before-action input schema |
-| `AgentBrain` | Agent's thinking state (eval, memory, goal) |
-| `LLMConfig` | Configuration for LLM connection |
-| `parseLLMConfig` | Parse and apply defaults to config |
diff --git a/packages/website/README.md b/packages/website/README.md
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-# Landing Page & Docs