autobee-sparticle 213e541697 fix: resolve PrePrompt Hook env var crash and increase Mem0 pool size (#24) ... 1. Fix "all environment values must be bytes or str" error in hook execution by ensuring all env values are converted to str (getattr may return None when attribute exists but is None). Also sanitize shell_env values. 2. Increase MEM0_POOL_SIZE default from 20 to 50 to address "connection pool exhausted" errors under high concurrency. Fixes: sparticleinc/felo-mygpt#2519 Co-authored-by: zhuchao <zhuchaowe@163.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>		2026-04-01 22:04:31 +09:00
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__init__.py	新增agent文件夹，修改import引用,增加custom_mcp_manager	2025-11-26 17:23:02 +08:00
agent_config.py	增加取消推理	2026-03-16 22:22:39 +08:00
agent_memory_cache.py	修改balance资源配置	2025-12-23 23:11:24 +08:00
chat_history_manager.py	db_pool	2026-01-19 23:39:04 +08:00
checkpoint_manager.py	db_pool	2026-01-19 23:39:04 +08:00
checkpoint_utils.py	refactor: migrate from Memori to Mem0 for long-term memory	2026-01-20 21:15:30 +08:00
config_cache.py	修改general_agent提示词	2025-12-03 17:53:18 +08:00
custom_filesystem_middleware.py	skill.md文件长度限制解除	2026-03-02 12:55:39 +08:00
db_pool_manager.py	refactor(mem0): optimize connection pool and async memory handling	2026-01-22 19:39:12 +08:00
deep_assistant.py	shell_env支持	2026-03-16 13:31:59 +08:00
guideline_middleware.py	rename general agent	2026-02-06 17:05:17 +08:00
logging_handler.py	on_tool_start 长度调整	2026-02-15 18:12:22 +08:00
mem0_config.py	✨ feat: 添加 PreMemoryPrompt hook 支持自定义记忆提取提示词	2026-03-30 20:36:35 +08:00
mem0_manager.py	✨ feat: 添加 PreMemoryPrompt hook 支持自定义记忆提取提示词	2026-03-30 20:36:35 +08:00
mem0_middleware.py	bug fix	2026-03-04 14:30:44 +08:00
plugin_hook_loader.py	fix: resolve PrePrompt Hook env var crash and increase Mem0 pool size (#24)	2026-04-01 22:04:31 +09:00
prompt_loader.py	shell_env support	2026-03-24 00:12:19 +08:00
summarization_middleware.py	update summary	2026-02-04 15:31:41 +08:00
tool_output_length_middleware.py	修改确保 max_length 永远不会是 None	2026-03-04 14:08:26 +08:00
tool_use_cleanup_middleware.py	修复完成。主要改动： 1. 新增 _clean_content_blocks 方法：专门处理 content 字段的清理 - 当 content 是列表格式时，过滤掉 type: 'tool_use' 的块（如果 id 不在 valid_tool_call_ids 中） - 返回清理后的 content 和是否有文本内容的标志 2. 更新 _cleanup_tool_use_messages 方法： - 调用 _clean_content_blocks 来清理 content - 使用清理后的 cleaned_content 创建新的 AIMessage 问题根源：之前的代码只清空了 tool_calls=[]，但没有从 content 列表中移除 type: 'tool_use' 的块。Anthropic API 会检查这两个地方，导致报错。	2025-12-23 19:11:27 +08:00