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7 Commits

Author SHA1 Message Date
Soulter a4be369e43 chore: bump version to 4.17.1 2026-02-17 02:30:13 +08:00
Soulter bdaca78750 fix: add support for collecting data from builtin stars in electron pyinstaller build (#5145) 2026-02-17 02:27:07 +08:00
Soulter 6326d7e4ba fix: add MCP tools to function tool set in _plugin_tool_fix (#5144) 2026-02-17 02:19:36 +08:00
Soulter a809a09e55 docs: Added instructions for deploying AstrBot using AstrBot Launcher. (#5136)
Added instructions for deploying AstrBot using AstrBot Launcher.
2026-02-16 17:06:56 +08:00
Soulter 52c4ef2d87 chore: bump version to 4.17.1 2026-02-15 23:45:34 +08:00
Soulter 52c31fabe2 fix: update retention logic in LogManager to handle backup count correctly 2026-02-15 23:42:12 +08:00
NayukiMeko 79e239ad97 fix: handle list format content from OpenAI-compatible APIs (#5128)
* 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
2026-02-15 23:30:47 +08:00
11 changed files with 163 additions and 15 deletions
+4
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@@ -81,6 +81,10 @@ uv tool install astrbot
astrbot
```
#### 启动器一键部署(AstrBot Launcher
进入 [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) 仓库,在 Releases 页最新版本下找到对应的系统安装包安装即可。
#### 宝塔面板部署
AstrBot 与宝塔面板合作,已上架至宝塔面板。
+1 -1
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@@ -1 +1 @@
__version__ = "4.17.0"
__version__ = "4.17.2"
+9
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@@ -45,6 +45,7 @@ from astrbot.core.provider.entities import ProviderRequest
from astrbot.core.skills.skill_manager import SkillManager, build_skills_prompt
from astrbot.core.star.context import Context
from astrbot.core.star.star_handler import star_map
from astrbot.core.provider.manager import llm_tools
from astrbot.core.tools.cron_tools import (
CREATE_CRON_JOB_TOOL,
DELETE_CRON_JOB_TOOL,
@@ -769,6 +770,14 @@ def _plugin_tool_fix(event: AstrMessageEvent, req: ProviderRequest) -> None:
if plugin.name in event.plugins_name or plugin.reserved:
new_tool_set.add_tool(tool)
req.func_tool = new_tool_set
else:
# mcp tools
tool_set = req.func_tool
if not tool_set:
tool_set = ToolSet()
for tool in llm_tools.func_list:
if isinstance(tool, MCPTool):
tool_set.add_tool(tool)
async def _handle_webchat(
+1 -1
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@@ -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 = "4.17.2"
DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
WEBHOOK_SUPPORTED_PLATFORMS = [
+13 -8
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@@ -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:
+85 -3
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@@ -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
+34
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@@ -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))
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@@ -0,0 +1,8 @@
## What's Changed
hotfix of 4.17.0
- 修复:MCP 服务器的 Tools 没有被正确添加到上下文中。
- 修复:Electron 桌面应用部署时,系统自带插件未被正确加载的问题。
- fix: Tools from MCP server were not properly added to context.
- fix: built-in plugins were not properly loaded in Electron desktop application deployment.
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "astrbot-desktop",
"version": "4.17.0",
"version": "4.17.2",
"description": "AstrBot desktop wrapper",
"private": true,
"main": "main.js",
+6
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@@ -16,6 +16,8 @@ const kbStopwordsSrc = path.join(
'hit_stopwords.txt',
);
const kbStopwordsDest = 'astrbot/core/knowledge_base/retrieval';
const builtinStarsSrc = path.join(rootDir, 'astrbot', 'builtin_stars');
const builtinStarsDest = 'astrbot/builtin_stars';
const args = [
'run',
@@ -35,9 +37,13 @@ const args = [
'pip',
'--collect-submodules',
'astrbot.api',
'--collect-submodules',
'astrbot.builtin_stars',
'--collect-data',
'certifi',
'--add-data',
`${builtinStarsSrc}${dataSeparator}${builtinStarsDest}`,
'--add-data',
`${kbStopwordsSrc}${dataSeparator}${kbStopwordsDest}`,
'--distpath',
outputDir,
+1 -1
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@@ -1,6 +1,6 @@
[project]
name = "AstrBot"
version = "4.17.0"
version = "4.17.2"
description = "Easy-to-use multi-platform LLM chatbot and development framework"
readme = "README.md"
requires-python = ">=3.12"