Ai bankofai patch 1

.github/workflows/docker.yml

@@ -6,13 +6,15 @@ on:
       - main
       - master
       - update-mcp-server
+      - ai-bankofai-patch-1
     tags:
       - 'test'
   pull_request:
     branches:
       - main
       - master
       - update-mcp-server
+      - ai-bankofai-patch-1
   workflow_dispatch: # Intentionally unrestricted — allows manual builds from any branch for flexibility
 
 env:

docs/llmservice/models/deepseek-v3.2.md

@@ -0,0 +1,48 @@
+# DeepSeek-V3.2  
+
+## Overview
+
+**DeepSeek-V3.2** is a **reasoning-first** large language model launched by DeepSeek AI, specifically built for **Agentic scenarios**. By implementing the innovative **DeepSeek Sparse Attention (DSA)** mechanism, it achieves exceptional computational efficiency while demonstrating superior performance in complex tasks and autonomous agent capabilities.
+
+---
+
+## 🚀 Key Features
+
+* **Leading Reasoning Capabilities**: DeepSeek-V3.2 excels across multiple benchmarks, particularly in **Agentic Capabilities**. Its **Thinking Mode** provides high-tier performance in coding and logic tasks, comparable to top-tier models in the industry.
+* **DeepSeek Sparse Attention (DSA)**: Optimizes long-context reasoning speed and efficiency, allowing for faster response times even with massive inputs.
+* **Optimized for Agents**: 
+    * **Environment Simulation**: Trained on 1,800+ diverse environments.
+    * **Complex Instruction Following**: Refined with 85k+ sophisticated instructions.
+    * **Native Tool Integration**: Supports seamless tool calling in both Thinking and non-Thinking modes.
+* **Massive Context Support**: Features a **164K token context window**, making it ideal for processing ultra-long documents and multi-turn interactions.
+
+---
+
+## 💡 Best Use Cases
+
+1.  **AI Agent Development**: Building autonomous agents capable of complex planning, multi-step execution, and external tool utilization.
+2.  **Advanced Coding Assistance**: Providing deep support for software architecture, code review, and automated programming.
+3.  **Long-Form Text Analysis**: Efficiently processing legal documents, research papers, and technical manuals.
+4.  **Complex Problem Solving**: Delivering high-quality solutions for tasks requiring deep logical reasoning and chain-of-thought analysis.
+
+---
+
+## 📊 Capabilities and Limitations
+
+| Capability | Detailed Description |
+| :--- | :--- |
+| **Reasoning Ability** | **Extremely Strong**. Excels in logical chains and Agent task planning. |
+| **Creative Ability** | **Strong**. Proficient in code generation and complex task-flow design. |
+| **Multimodal Ability** | Primarily text-based; achieves multimodal tasks via Agent frameworks. |
+| **Context Window** | **164K Tokens** (Supports massive document ingestion) |
+| **Max Output** | **164K Tokens** (Industry-leading generation limit) |
+
+---
+
+## 💰 Credits and Pricing
+
+> **Note:** Consumption is calculated per 1,000 Tokens.
+
+| Model | Input (Credits/1K Tokens) | Output (Credits/1K Tokens) |
+| :--- | :---: | :---: |
+| **DeepSeek-V3.2** | `0.27` | `0.42` |

i18n/zh-Hans/docusaurus-plugin-content-docs/current/llmservice/models/deepseek-v3.2.md

@@ -0,0 +1,48 @@
+# DeepSeek-V3.2 
+
+## 概述
+
+**DeepSeek-V3.2** 是由 DeepSeek AI 推出的**推理导向型 (Reasoning-first)** 大语言模型，专为 **智能体 (Agent)** 场景量身打造。该模型通过创新的 **DSA (DeepSeek Sparse Attention)** 稀疏注意力机制极大优化了计算效率，在复杂任务处理与自主代理能力上表现卓越。
+
+---
+
+## 🚀 核心特性 (Key Features)
+
+* **顶尖推理性能**：在多项基准测试中表现出色，尤其在 **Agentic Capabilities** 方面。其“思维模式 (Thinking mode)”在编程任务中可比肩顶级模型。
+* **DSA 稀疏注意力机制**：引入自主研发的 **DeepSeek Sparse Attention (DSA)**，显著提升长上下文推理的效率与响应速度。
+* **深度优化 Agent 场景**：
+    * **海量环境模拟**：覆盖 1800+ 虚拟环境。
+    * **复杂指令遵循**：基于 85k+ 复杂指令进行强化训练。
+    * **原生工具集成**：支持在“思考”与“非思考”模式下直接调用外部工具。
+* **超长上下文支持**：具备 **164K tokens** 的上下文窗口，可轻松驾驭海量信息处理。
+
+---
+
+## 💡 最佳应用场景 (Best Use Cases)
+
+1.  **AI Agent 开发**：构建具备复杂规划、多步执行及自主工具调用能力的智能体。
+2.  **高级代码辅助**：深度参与软件架构设计、代码审查及自动化编程任务。
+3.  **长文本分析**：高效处理法律文档、科研论文及技术手册等超长文本。
+4.  **深度逻辑推理**：解决需要严密逻辑链条的高难度科研或业务问题。
+
+---
+
+## 📊 技术指标与能力边界 (Capabilities & Limitations)
+
+| 能力维度 | 详细描述 |
+| :--- | :--- |
+| **推理能力** | **极强**。擅长复杂逻辑链、Agent 任务规划。 |
+| **创作能力** | **强**。精通代码生成、文案创作及复杂的任务流设计。 |
+| **多模态能力** | 以文本为主，可通过 Agent 框架协同多模态工具实现。 |
+| **上下文窗口** | **164K Tokens** (支持超长文本输入) |
+| **最大输出** | **164K Tokens** (单次生成上限极高) |
+
+---
+
+## 💰 计费与抵扣说明 (Credits & Pricing)
+
+> **注意：** 消耗以每 1,000 Tokens 为基准进行折算。
+
+| 模型名称 | 输入 (Credits/1K Tokens) | 输出 (Credits/1K Tokens) |
+| :--- | :---: | :---: |
+| **DeepSeek-V3.2** | `0.27` | `0.42` |

i18n/zh-Hans/docusaurus-plugin-content-docs/current/sidebars.js

@@ -196,6 +196,7 @@ const sidebars = {
             'llmservice/models/claude-opus-4-6',
             'llmservice/models/claude-sonnet-4-5',
             'llmservice/models/claude-sonnet-4-6',
+            'llmservice/models/deepseek-v3.2',
             'llmservice/models/gemini-3-1-pro',
             'llmservice/models/gemini-3-flash',
             'llmservice/models/glm-5',

package.json

@@ -1,6 +1,6 @@
 {
   "name": "@x402-tron/docs",
-  "version": "1.2.4",
+  "version": "1.2.5",
   "description": "x402-tron documentation",
   "license": "MIT",
   "scripts": {

sidebars.js

@@ -193,6 +193,7 @@ const sidebars = {
             'llmservice/models/claude-opus-4-6',
             'llmservice/models/claude-sonnet-4-5',
             'llmservice/models/claude-sonnet-4-6',
+            'llmservice/models/deepseek-v3.2',
             'llmservice/models/gemini-3-1-pro',
             'llmservice/models/gemini-3-flash',
             'llmservice/models/glm-5',