TeamBot Build
多智能体协作平台(CEO/部门智能体、工作流引擎、记忆系统、AICQ 群聊、闹钟自唤醒、免费模型中继等)。
运行
- 项目目录:
/home/mojo/teambot_build - 启动入口:
main.py(用 IDE run_project 或python3 main.py) - 服务重启后观察
nohup_*.log;IDE 端口 12345 严禁 kill - 数据:
agents.db(智能体/工作流)、memory.db(会话/记忆)、~/.teambot/data/llm_calls.db(LLM 调用持久化) - 远程部署流程(v0.50 基线):备份 agents.db →
git fetch+reset --hard origin/main→ 重启 → 手动触发巡查 run 验证
测试
- 回归基线:
scripts/test_v0*_*.py(v039–v050 十套件全绿) - 运行单套件:
python3 scripts/test_v050_inspection_resilience.py - 全量回归建议按 worklog.md 归档条目逐套件执行
约定
worklog.md≤100 行,追加前压缩旧条目- git push 一律委派子代理;本地 add/commit 可直接执行
- 当前分支 main(与 origin/main 同步于 3bbc80c [v0.24]);本地另存未合并分支
fix/workflow-skill-dispatcher-overwrite - 详细任务档案见 worklog.md 历史归档段与 git 历史
Metadata
Release files for teambot-ai 1.56.137
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| teambot_ai-1.56.137-cp314-cp314-win_amd64.whl | CPython 3.14 | CPython 3.14 | Windows x86-64 | Details |
Release files / teambot_ai-1.56.137-cp314-cp314-win_amd64.whl
| Download URL | teambot_ai-1.56.137-cp314-cp314-win_amd64.whl |
|---|---|
| Size | 49.7 MB |
| Tags | CPython 3.14 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
a9801331370bdac1ac0afc68a29a2fc177b7fa53bb80b07e5257e86da44ea2ec
|
|
BLAKE2b-256 checksum How to use checksums |
79200ca616ea46481ef77fa659f22ddcd679ac5e288cb4c3b76c5e262166edc7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.4
|
Security for teambot-ai 1.56.137
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.