chore: bump version to 4.17.1

* fix: handle list format content from OpenAI-compatible APIs

Some LLM providers (e.g., GLM-4.5V via SiliconFlow) return content as
list[dict] format like [{'type': 'text', 'text': '...'}] instead of
plain string. This causes the raw list representation to be displayed
to users.

Changes:
- Add _normalize_content() helper to extract text from various content formats
- Use json.loads instead of ast.literal_eval for safer parsing
- Add size limit check (8KB) before attempting JSON parsing
- Only convert lists that match OpenAI content-part schema (has 'type': 'text')
  to avoid collapsing legitimate list-literal replies like ['foo', 'bar']
- Add strip parameter to preserve whitespace in streaming chunks
- Clean up orphan </think> tags that may leak from some models

Fixes #5124

* fix: improve content normalization safety

- Try json.loads first, fallback to ast.literal_eval for single-quoted
  Python literals to avoid corrupting apostrophes (e.g., "don't")
- Coerce text values to str to handle null or non-string text fields

astrbot/cli/__init__.py

@@ -1 +1 @@
-__version__ = "4.17.0"
+__version__ = "4.17.1"

astrbot/core/config/default.py

@@ -5,7 +5,7 @@ from typing import Any, TypedDict
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
-VERSION = "4.17.0"
+VERSION = "4.17.1"
 DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
 
 WEBHOOK_SUPPORTED_PLATFORMS = [

astrbot/core/log.py

@@ -299,7 +299,9 @@ class LogManager:
     ) -> int:
         os.makedirs(os.path.dirname(file_path) or ".", exist_ok=True)
         rotation = f"{max_mb} MB" if max_mb and max_mb > 0 else None
-        retention = f"{backup_count} files" if rotation else None
+        retention = (
+            backup_count if rotation and backup_count and backup_count > 0 else None
+        )
         if trace:
             return _loguru.add(
                 file_path,
@@ -363,13 +365,16 @@ class LogManager:
         if not enable_file:
             return
 
-        cls._file_sink_id = cls._add_file_sink(
-            file_path=cls._resolve_log_path(file_path),
-            level=logger.level,
-            max_mb=max_mb,
-            backup_count=3,
-            trace=False,
-        )
+        try:
+            cls._file_sink_id = cls._add_file_sink(
+                file_path=cls._resolve_log_path(file_path),
+                level=logger.level,
+                max_mb=max_mb,
+                backup_count=3,
+                trace=False,
+            )
+        except Exception as e:
+            logger.error(f"Failed to add file sink: {e}")
 
     @classmethod
     def configure_trace_logger(cls, config: dict | None) -> None:

astrbot/core/provider/sources/openai_source.py

@@ -323,7 +323,8 @@ class ProviderOpenAIOfficial(Provider):
                 llm_response.reasoning_content = reasoning
                 _y = True
             if delta.content:
-                completion_text = delta.content
+                # Don't strip streaming chunks to preserve spaces between words
+                completion_text = self._normalize_content(delta.content, strip=False)
                 llm_response.result_chain = MessageChain(
                     chain=[Comp.Plain(completion_text)],
                 )
@@ -371,6 +372,86 @@ class ProviderOpenAIOfficial(Provider):
             output=completion_tokens,
         )
 
+    @staticmethod
+    def _normalize_content(raw_content: Any, strip: bool = True) -> str:
+        """Normalize content from various formats to plain string.
+
+        Some LLM providers return content as list[dict] format
+        like [{'type': 'text', 'text': '...'}] instead of
+        plain string. This method handles both formats.
+
+        Args:
+            raw_content: The raw content from LLM response, can be str, list, or other.
+            strip: Whether to strip whitespace from the result. Set to False for
+                   streaming chunks to preserve spaces between words.
+
+        Returns:
+            Normalized plain text string.
+        """
+        if isinstance(raw_content, list):
+            # Check if this looks like OpenAI content-part format
+            # Only process if at least one item has {'type': 'text', 'text': ...} structure
+            has_content_part = any(
+                isinstance(part, dict) and part.get("type") == "text"
+                for part in raw_content
+            )
+            if has_content_part:
+                text_parts = []
+                for part in raw_content:
+                    if isinstance(part, dict) and part.get("type") == "text":
+                        text_val = part.get("text", "")
+                        # Coerce to str in case text is null or non-string
+                        text_parts.append(str(text_val) if text_val is not None else "")
+                return "".join(text_parts)
+            # Not content-part format, return string representation
+            return str(raw_content)
+
+        if isinstance(raw_content, str):
+            content = raw_content.strip() if strip else raw_content
+            # Check if the string is a JSON-encoded list (e.g., "[{'type': 'text', ...}]")
+            # This can happen when streaming concatenates content that was originally list format
+            # Only check if it looks like a complete JSON array (requires strip for check)
+            check_content = raw_content.strip()
+            if (
+                check_content.startswith("[")
+                and check_content.endswith("]")
+                and len(check_content) < 8192
+            ):
+                try:
+                    # First try standard JSON parsing
+                    parsed = json.loads(check_content)
+                except json.JSONDecodeError:
+                    # If that fails, try parsing as Python literal (handles single quotes)
+                    # This is safer than blind replace("'", '"') which corrupts apostrophes
+                    try:
+                        import ast
+
+                        parsed = ast.literal_eval(check_content)
+                    except (ValueError, SyntaxError):
+                        parsed = None
+
+                if isinstance(parsed, list):
+                    # Only convert if it matches OpenAI content-part schema
+                    # i.e., at least one item has {'type': 'text', 'text': ...}
+                    has_content_part = any(
+                        isinstance(part, dict) and part.get("type") == "text"
+                        for part in parsed
+                    )
+                    if has_content_part:
+                        text_parts = []
+                        for part in parsed:
+                            if isinstance(part, dict) and part.get("type") == "text":
+                                text_val = part.get("text", "")
+                                # Coerce to str in case text is null or non-string
+                                text_parts.append(
+                                    str(text_val) if text_val is not None else ""
+                                )
+                        if text_parts:
+                            return "".join(text_parts)
+            return content
+
+        return str(raw_content)
+
     async def _parse_openai_completion(
         self, completion: ChatCompletion, tools: ToolSet | None
     ) -> LLMResponse:
@@ -383,8 +464,7 @@ class ProviderOpenAIOfficial(Provider):
 
         # parse the text completion
         if choice.message.content is not None:
-            # text completion
-            completion_text = str(choice.message.content).strip()
+            completion_text = self._normalize_content(choice.message.content)
             # specially, some providers may set <think> tags around reasoning content in the completion text,
             # we use regex to remove them, and store then in reasoning_content field
             reasoning_pattern = re.compile(r"<think>(.*?)</think>", re.DOTALL)
@@ -394,6 +474,8 @@ class ProviderOpenAIOfficial(Provider):
                     [match.strip() for match in matches],
                 )
                 completion_text = reasoning_pattern.sub("", completion_text).strip()
+            # Also clean up orphan </think> tags that may leak from some models
+            completion_text = re.sub(r"</think>\s*$", "", completion_text).strip()
             llm_response.result_chain = MessageChain().message(completion_text)
 
         # parse the reasoning content if any

changelogs/v4.17.1.md

@@ -0,0 +1,34 @@
+## What's Changed
+
+hotfix of 4.17.0
+
+- 修复：当开启了 “启用文件日志” 后，无法启动 AstrBot，报错 `ValueError: Invalid unit value while parsing duration: 'files'`。这是由于日志轮转设置中保留配置错误导致的，已通过根据备份数量正确设置保留参数进行修复。
+- fix: When "Enable file logging" is turned on, AstrBot fails to start with error `ValueError: Invalid unit value while parsing duration: 'files'`. This is due to an incorrect retention configuration in the log rotation setup, which has been fixed by properly setting the retention parameter based on backup count. 
+
+### 新增
+- 新增 LINE 平台适配器与相关配置支持 ([#5085](https://github.com/AstrBotDevs/AstrBot/issues/5085))
+- 新增备用回退聊天模型列表，当主模型报错时自动切换到备用模型 ([#5109](https://github.com/AstrBotDevs/AstrBot/issues/5109))
+- 新增插件加载失败后的热重载支持，便于插件修复后快速恢复 ([#5043](https://github.com/AstrBotDevs/AstrBot/issues/5043))
+- WebUI 新增 SSL 配置选项并同步更新相关日志行为 ([#5117](https://github.com/AstrBotDevs/AstrBot/issues/5117))
+
+### 修复
+- 修复 Dockerfile 中依赖导出流程，增加 `uv lock` 步骤并移除不必要的 `--frozen` 参数，提升构建稳定性 ([#5091](https://github.com/AstrBotDevs/AstrBot/issues/5091), [#5089](https://github.com/AstrBotDevs/AstrBot/issues/5089))
+- 修复首次启动公告 `FIRST_NOTICE.md` 的本地化路径解析问题，补充兼容路径处理 ([#5083](https://github.com/AstrBotDevs/AstrBot/issues/5083), [#5082](https://github.com/AstrBotDevs/AstrBot/issues/5082))
+
+### 优化
+- 日志系统由 `colorlog` 切换为 `loguru`，增强日志输出与展示能力 ([#5115](https://github.com/AstrBotDevs/AstrBot/issues/5115))
+
+## What's Changed (EN)
+
+### New Features
+- Added LINE platform adapter support with related configuration options ([#5085](https://github.com/AstrBotDevs/AstrBot/issues/5085))
+- Added fallback chat model chain support in tool loop runner, with corresponding config and improved provider selection display ([#5109](https://github.com/AstrBotDevs/AstrBot/issues/5109))
+- Added hot reload support after plugin load failure for faster recovery during plugin development and maintenance ([#5043](https://github.com/AstrBotDevs/AstrBot/issues/5043))
+- Added SSL configuration options for WebUI and updated related logging behavior ([#5117](https://github.com/AstrBotDevs/AstrBot/issues/5117))
+
+### Fixes
+- Fixed Dockerfile dependency export flow by adding a `uv lock` step and removing unnecessary `--frozen` flag to improve build stability ([#5091](https://github.com/AstrBotDevs/AstrBot/issues/5091), [#5089](https://github.com/AstrBotDevs/AstrBot/issues/5089))
+- Fixed locale path resolution for `FIRST_NOTICE.md` and added compatible fallback handling ([#5083](https://github.com/AstrBotDevs/AstrBot/issues/5083), [#5082](https://github.com/AstrBotDevs/AstrBot/issues/5082))
+
+### Improvements
+- Replaced `colorlog` with `loguru` to improve logging capabilities and console display ([#5115](https://github.com/AstrBotDevs/AstrBot/issues/5115))

desktop/package.json

@@ -1,6 +1,6 @@
 {
   "name": "astrbot-desktop",
-  "version": "4.17.0",
+  "version": "4.17.1",
   "description": "AstrBot desktop wrapper",
   "private": true,
   "main": "main.js",

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "AstrBot"
-version = "4.17.0"
+version = "4.17.1"
 description = "Easy-to-use multi-platform LLM chatbot and development framework"
 readme = "README.md"
 requires-python = ">=3.12"