feat(async-context-compression): release v1.2.1 with smart config & optimizations

This release introduces significant improvements to configuration flexibility, performance, and stability.

**Key Changes:**

*   **Smart Configuration:**
    *   Added `summary_model_max_context` to allow independent context limits for the summary model (e.g., using `gemini-flash` with 1M context to summarize `gpt-4` history).
    *   Implemented auto-detection of base model settings for custom models, ensuring correct threshold application.
*   **Performance & Refactoring:**
    *   Optimized `model_thresholds` parsing with caching to reduce overhead.
    *   Refactored `inlet` and `outlet` logic to remove redundant code and improve maintainability.
    *   Replaced all `print` statements with proper `logging` calls for better production monitoring.
*   **Bug Fixes & Modernization:**
    *   Fixed `datetime.utcnow()` deprecation warnings by switching to timezone-aware `datetime.now(timezone.utc)`.
    *   Corrected type annotations and improved error handling for `JSONResponse` objects from LLM backends.
    *   Removed hard truncation in summary generation to allow full context usage.

**Files Updated:**
*   Plugin source code (English & Chinese)
*   Documentation and READMEs
*   Version bumped to 1.2.1

docs/plugins/filters/async-context-compression.md

@@ -1,7 +1,7 @@
 # Async Context Compression
 
 <span class="category-badge filter">Filter</span>
-<span class="version-badge">v1.2.0</span>
+<span class="version-badge">v1.2.1</span>
 
 Reduces token consumption in long conversations through intelligent summarization while maintaining conversational coherence.
 
@@ -38,6 +38,8 @@ This is especially useful for:
 - :material-format-align-justify: **Structure-Aware Trimming**: Preserves document structure
 - :material-content-cut: **Native Tool Output Trimming**: Trims verbose tool outputs (Note: Non-native tool outputs are not fully injected into context)
 - :material-chart-bar: **Detailed Token Logging**: Granular token breakdown
+- :material-account-search: **Smart Model Matching**: Inherit config from base models
+- :material-image-off: **Multimodal Support**: Images are preserved but tokens are **NOT** calculated
 
 ---
 
@@ -73,6 +75,7 @@ graph TD
 | `keep_first` | integer | `1` | Always keep the first N messages |
 | `keep_last` | integer | `6` | Always keep the last N messages |
 | `summary_model` | string | `None` | Model to use for summarization |
+| `summary_model_max_context` | integer | `0` | Max context tokens for summary model |
 | `max_summary_tokens` | integer | `16384` | Maximum tokens for the summary |
 | `enable_tool_output_trimming` | boolean | `false` | Enable trimming of large tool outputs |
 

docs/plugins/filters/async-context-compression.zh.md

@@ -1,7 +1,7 @@
 # Async Context Compression（异步上下文压缩）
 
 <span class="category-badge filter">Filter</span>
-<span class="version-badge">v1.2.0</span>
+<span class="version-badge">v1.2.1</span>
 
 通过智能摘要减少长对话的 token 消耗，同时保持对话连贯。
 
@@ -38,6 +38,8 @@ Async Context Compression 过滤器通过以下方式帮助管理长对话的 to
 - :material-format-align-justify: **结构感知裁剪**：保留文档结构的智能裁剪
 - :material-content-cut: **原生工具输出裁剪**：自动裁剪冗长的工具输出（注意：非原生工具调用输出不会完整注入上下文）
 - :material-chart-bar: **详细 Token 日志**：提供细粒度的 Token 统计
+- :material-account-search: **智能模型匹配**：自定义模型自动继承基础模型配置
+- :material-image-off: **多模态支持**：图片内容保留但 Token **不参与计算**
 
 ---
 
@@ -73,6 +75,7 @@ graph TD
 | `keep_first` | integer | `1` | 始终保留的前 N 条消息 |
 | `keep_last` | integer | `6` | 始终保留的后 N 条消息 |
 | `summary_model` | string | `None` | 用于摘要的模型 |
+| `summary_model_max_context` | integer | `0` | 摘要模型的最大上下文 Token 数 |
 | `max_summary_tokens` | integer | `16384` | 摘要的最大 token 数 |
 | `enable_tool_output_trimming` | boolean | `false` | 启用长工具输出裁剪 |
 

docs/plugins/filters/index.md

@@ -22,7 +22,7 @@ Filters act as middleware in the message pipeline:
 
     Reduces token consumption in long conversations through intelligent summarization while maintaining coherence.
 
-    **Version:** 1.1.3
+    **Version:** 1.2.1
 
     [:octicons-arrow-right-24: Documentation](async-context-compression.md)
 

docs/plugins/filters/index.zh.md

@@ -22,7 +22,7 @@ Filter 充当消息管线中的中间件：
 
     通过智能总结减少长对话的 token 消耗，同时保持连贯性。
 
-    **版本：** 1.1.3
+    **版本：** 1.2.1
 
     [:octicons-arrow-right-24: 查看文档](async-context-compression.md)