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2025 年 3 月12 条备忘录

企业后台用户意图分类提示词

更新于 2025-03-27 16:34:16

公开 · 所有人可见

请扮演一位意图识别，帮我识别用户的输入，并将问题划分到合适的品类中。
有以下分类：

业务处理
问题咨询

当前语境:
当前语境为。企业中后台内部业务管理垂直领域，用户更倾向于关心公司内部问题，较少为通用问题（比如数学运算，通用领域知识）。

分类解释:

业务处理补充. 帮忙处理用户的业务（比如，帮用户签到，提病假申请等）。
问题咨询. 比如根据手机号查询员工信息，查询公司邮件配置等。

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对已经启动的 docker 容器修改开机自动启动

更新于 2025-03-27 10:21:53

公开 · 所有人可见

对已经启动的 docker 容器修改开机自动启动

March 27th 2025, 10:21:20 am

You

对已经启动的 docker 容器修改开机自动启动

ChatGPT

可以使用 docker update 命令修改已经运行的 Docker 容器的 开机自启 设置。

修改 Docker 容器的开机自启策略

1. 修改单个容器的重启策略

bash

CopyEdit

docker update --restart=always 容器ID或名称

no：容器不会自动重启（默认）
always：无论退出原因如何，Docker 守护进程重启时，容器都会重新启动
unless-stopped：与 always 类似，但如果容器被手动停止，则不会重启
on-failure[:最大重试次数]：仅当容器异常退出（非 0 退出码）时才重启

示例：

bash

CopyEdit

docker update --restart=unless-stopped my_container

2. 让所有已运行的容器在开机时自动启动

如果希望 所有当前运行的容器 在 Docker 启动时恢复运行，可以批量设置：

bash

CopyEdit

docker update --restart=always $(docker ps -q)

3. 验证容器的 `restart` 策略

可以用以下命令检查容器的 RestartPolicy：

bash

CopyEdit

docker inspect -f '{{.HostConfig.RestartPolicy.Name}}' 容器ID或名称

示例：

bash

CopyEdit

docker inspect -f '{{.HostConfig.RestartPolicy.Name}}' my_container

如果返回 always，说明设置成功。

4. 另一种方法：docker-compose 修改 `restart` 方式

如果使用 docker-compose.yml，可以修改 restart 选项：

yaml

CopyEdit

version: '3'
services:
  my_service:
    image: my_image
    restart: always

然后重新加载：

bash

CopyEdit

docker-compose up -d

这样，容器每次开机都会自动启动。

总结

docker update --restart=always 容器ID 可以直接修改已运行的容器
docker update --restart=always $(docker ps -q) 批量修改
docker inspect 检查修改是否生效
docker-compose.yml 中的 restart 也可以控制开机自启

这样你就可以修改已经运行的 Docker 容器，使其开机时自动启动 🚀

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创建 Dify PostgreSQL 用户、数据库与权限

更新于 2025-03-27 09:46:49

公开 · 所有人可见


ALTER ROLE dify_dev WITH LOGIN PASSWORD 'dify_dev_111';

ALTER ROLE dify_dev CREATEDB;
ALTER ROLE dify_dev WITH SUPERUSER;

create database dify_dev;
ALTER database dify_dev owner to dify_dev;

create database dify_plugin;
ALTER database dify_plugin owner to dify_dev;

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MAC 安装 PostgreSQL 17 日志

更新于 2025-03-26 18:48:40

公开 · 所有人可见

MAC 安装 PostgreSQL 17 日志

brew install postgresql@17

This formula has created a default database cluster with:
initdb --locale=C -E UTF-8 /opt/homebrew/var/postgresql@17

When uninstalling, some dead symlinks are left behind so you may want to run:
brew cleanup --prune-prefix

postgresql@17 is keg-only, which means it was not symlinked into /opt/homebrew,
because this is an alternate version of another formula.

If you need to have postgresql@17 first in your PATH, run:
echo 'export PATH="/opt/homebrew/opt/postgresql@17/bin:$PATH"' >> ~/.zshrc

For compilers to find postgresql@17 you may need to set:
export LDFLAGS="-L/opt/homebrew/opt/postgresql@17/lib"
export CPPFLAGS="-I/opt/homebrew/opt/postgresql@17/include"

To start postgresql@17 now and restart at login:
brew services start postgresql@17
Or, if you don't want/need a background service you can just run:
LC_ALL="C" /opt/homebrew/opt/postgresql@17/bin/postgres -D /opt/homebrew/var/postgresql@17

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ChatGPT API 现在都有哪些模型，模型之间功能和价格有什么区别

更新于 2025-03-18 16:31:22

公开 · 所有人可见

ChatGPT API 现在都有哪些模型，模型之间功能和价格有什么区别

March 18th 2025, 4:30:49 pm

You

ChatGPT API 现在都有哪些模型，模型之间功能和价格有什么区别

ChatGPT

目前 ChatGPT API 提供了多种模型，每种模型在能力、输入输出支持、上下文长度以及定价上都有所不同。下面是一个概览：

1. 通用对话模型

GPT-3.5 Turbo
- 功能：适用于大部分日常对话和轻量任务，反应快、成本低，适合大规模调用。
- 价格：输入 token 费用约为 $0.50/1M tokens，输出 token 约为$ 1.50/1M tokens。（参考
  
  juejin.cn
  
  ）
GPT-4 系列（GPT-4 与 GPT-4 Turbo）
- 功能：在理解复杂问题、生成精细回答方面比 GPT-3.5 更有优势。GPT-4 Turbo 相对更快且性价比更高。
- 价格：例如 GPT-4 Turbo 的费用大约为 $10/1M tokens（输入）和$ 30/1M tokens（输出），而标准 GPT-4 则更贵。（参考
  
  fisherdaddy.com
  
  、
  
  juejin.cn
  
  ）

2. 多模态与长上下文模型

GPT-4o
- 功能：旗舰级多模态模型，支持文本、图像甚至音频输入，拥有长达 128,000 tokens 的上下文窗口；在非英语语言和实时交互上表现优异。
- 价格：大约 $2.5/1M tokens（输入）和$ 10/1M tokens（输出）。（参考
  
  fisherdaddy.com
  
  、
  
  zh.wikipedia.org
  
  ）
GPT-4o mini
- 功能：GPT-4o 的小型经济版本，适合快速、轻量级任务，虽然能力稍弱但足以替代 GPT-3.5 在许多场景中的应用。
- 价格：大约 $0.15/1M tokens（输入）和$ 0.60/1M tokens（输出）。

3. 专注推理能力的模型

o1 系列（包括 o1 与 o1-mini）
- 功能：专为解决复杂多步骤推理问题（如数学和编程任务）设计。o1 模型在推理、代码生成等方面表现更强。
- 价格：
  - o1：费用大约为 $15/1M tokens（输入）和$ 60/1M tokens（输出）。
  - o1-mini：作为轻量版，其费用更低，约 $1.1/1M tokens（输入）和$ 4.4/1M tokens（输出）。
- （参考
  
  fisherdaddy.com
  
  、
  
  theverge.com
  
  ）
o3-mini
- 功能：是最新推出的轻量推理模型，支持结构化输出和函数调用等开发者关键功能，适合高效推理任务。
- 价格：定价通常与 o1-mini 类似，但具体费用需参照最新 API 文档。

4. 最新旗舰与高情感智能模型

GPT-4.5
- 功能：最新的旗舰模型，注重生成更自然、更具情感智能的回答，适合写作、沟通和创意思考等任务。
- 价格：价格显著较高，约 $75/1M tokens（输入）和$ 150/1M tokens（输出）。（参考、
  
  zh.wikipedia.org
  
  ）

总结

能力区别：
- 通用模型（GPT-3.5 Turbo、GPT-4 Turbo）适合日常对话和轻量任务；
- 多模态模型（GPT-4o 系列）支持更多输入类型及更长上下文；
- 专注推理模型（o1、o1-mini、o3-mini）则在处理复杂推理问题上更强；
- 高情感智能模型（GPT-4.5）则在对话自然性和情感表达上更出色。
价格区别：
- 从 GPT-3.5 Turbo 的低廉到 GPT-4.5 和 o1 系列的高成本，开发者可根据应用场景和预算进行选择。通常，多模态和高推理能力模型的价格更高，但在特定任务上能提供更优效果。

这些就是目前 ChatGPT API 中主要模型的功能和价格差异。选择时可以根据具体任务需求、响应速度要求和预算来进行权衡。

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批量删除 Pod

更新于 2025-03-10 11:26:48

公开 · 所有人可见

批量删除 Pod

kubectl get pods -n kube-system | grep tigera-operator | awk '{print $1}' | xargs kubectl delete pod -n kube-system

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Ubuntu 安装 NVIDIA 535 驱动与 Fabric Manager 日志

更新于 2025-03-05 17:17:00

公开 · 所有人可见

# apt install -y nvidia-container-runtime cuda-drivers-fabricmanager-515 nvidia-headless-515-server
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
nvidia-container-runtime is already the newest version (3.14.0-1).
The following packages were automatically installed and are no longer required:
  libfontenc1 libnvidia-common-560 libnvidia-extra-560 libnvidia-fbc1-560 libpkgconf3 libxcvt0 libxfont2 nvidia-firmware-560-560.35.05 nvidia-modprobe nvidia-prime nvidia-settings pkg-config pkgconf
  pkgconf-bin screen-resolution-extra x11-xkb-utils xcvt xfonts-base xfonts-encodings xfonts-utils xserver-common xserver-xorg-core
Use 'apt autoremove' to remove them.
The following additional packages will be installed:
  cuda-drivers-fabricmanager-535 libnvidia-cfg1-535-server libnvidia-compute-535-server nvidia-compute-utils-535-server nvidia-dkms-535-server nvidia-fabricmanager-535
  nvidia-firmware-535-server-535.216.03 nvidia-headless-535-server nvidia-headless-no-dkms-535-server nvidia-kernel-common-535-server nvidia-kernel-source-535-server
The following packages will be REMOVED:
  libnvidia-cfg1-560 libnvidia-compute-560 libnvidia-decode-560 libnvidia-encode-560 libnvidia-gl-560 nvidia-compute-utils-560 nvidia-dkms-560 nvidia-driver-560 nvidia-kernel-common-560
  nvidia-kernel-source-560 nvidia-utils-560 xserver-xorg-video-nvidia-560
The following NEW packages will be installed:
  cuda-drivers-fabricmanager-515 cuda-drivers-fabricmanager-535 libnvidia-cfg1-535-server libnvidia-compute-535-server nvidia-compute-utils-535-server nvidia-dkms-535-server nvidia-fabricmanager-535
  nvidia-firmware-535-server-535.216.03 nvidia-headless-515-server nvidia-headless-535-server nvidia-headless-no-dkms-535-server nvidia-kernel-common-535-server nvidia-kernel-source-535-server
0 upgraded, 13 newly installed, 12 to remove and 175 not upgraded.
Need to get 127 MB of archives.
After this operation, 406 MB disk space will be freed.
Get:1 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-compute-535-server amd64 535.216.03-0ubuntu0.24.04.1 [40.3 MB]
Get:2 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/multiverse amd64 nvidia-fabricmanager-535 amd64 535.216.03-0ubuntu0.24.04.1 [1,847 kB]                                                       
Get:3 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/multiverse amd64 cuda-drivers-fabricmanager-535 amd64 535.216.03-0ubuntu0.24.04.1 [4,416 B]                                                  
Get:4 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/multiverse amd64 cuda-drivers-fabricmanager-515 amd64 525.147.05-0ubuntu3 [4,980 B]                                                                  
Get:5 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 libnvidia-cfg1-535-server amd64 535.216.03-0ubuntu0.24.04.1 [107 kB]                                                        
Get:6 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-compute-utils-535-server amd64 535.216.03-0ubuntu0.24.04.1 [122 kB]                                                  
Get:7 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-kernel-source-535-server amd64 535.216.03-0ubuntu0.24.04.1 [45.1 MB]                                                 
41% [7 nvidia-kernel-source-535-server 7,717 kB/45.1 MB 17%]                                                                                                                                215 kB/s 5min 58s^C
(base) root@vm-10-19-196-84:/etc/kubernetes/conf/test# apt update
Warning: The unit file, source configuration file or drop-ins of apt-news.service changed on disk. Run 'systemctl daemon-reload' to reload units.
Warning: The unit file, source configuration file or drop-ins of esm-cache.service changed on disk. Run 'systemctl daemon-reload' to reload units.
Get:1 file:/var/cuda-repo-ubuntu2404-12-6-local  InRelease [1,572 B]
Get:1 file:/var/cuda-repo-ubuntu2404-12-6-local  InRelease [1,572 B]
Hit:2 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble InRelease                 
Hit:3 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates InRelease                                 
Hit:4 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-backports InRelease                               
Get:5 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB]                                 
Hit:6 https://nvidia.github.io/libnvidia-container/stable/deb/amd64  InRelease
Get:7 http://security.ubuntu.com/ubuntu noble-security/main amd64 Components [8,976 B]
Get:8 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Components [212 B]
Get:9 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Components [52.0 kB]
Get:10 http://security.ubuntu.com/ubuntu noble-security/multiverse amd64 Components [208 B]
Fetched 187 kB in 3s (57.3 kB/s)    
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
175 packages can be upgraded. Run 'apt list --upgradable' to see them.
(base) root@vm-10-19-196-84:/etc/kubernetes/conf/test# apt install -y nvidia-container-runtime cuda-drivers-fabricmanager-515 nvidia-headless-515-server
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
nvidia-container-runtime is already the newest version (3.14.0-1).
The following packages were automatically installed and are no longer required:
  libfontenc1 libnvidia-common-560 libnvidia-extra-560 libnvidia-fbc1-560 libpkgconf3 libxcvt0 libxfont2 nvidia-firmware-560-560.35.05 nvidia-modprobe nvidia-prime nvidia-settings pkg-config pkgconf
  pkgconf-bin screen-resolution-extra x11-xkb-utils xcvt xfonts-base xfonts-encodings xfonts-utils xserver-common xserver-xorg-core
Use 'apt autoremove' to remove them.
The following additional packages will be installed:
  cuda-drivers-fabricmanager-535 libnvidia-cfg1-535-server libnvidia-compute-535-server nvidia-compute-utils-535-server nvidia-dkms-535-server nvidia-fabricmanager-535
  nvidia-firmware-535-server-535.216.03 nvidia-headless-535-server nvidia-headless-no-dkms-535-server nvidia-kernel-common-535-server nvidia-kernel-source-535-server
The following packages will be REMOVED:
  libnvidia-cfg1-560 libnvidia-compute-560 libnvidia-decode-560 libnvidia-encode-560 libnvidia-gl-560 nvidia-compute-utils-560 nvidia-dkms-560 nvidia-driver-560 nvidia-kernel-common-560
  nvidia-kernel-source-560 nvidia-utils-560 xserver-xorg-video-nvidia-560
The following NEW packages will be installed:
  cuda-drivers-fabricmanager-515 cuda-drivers-fabricmanager-535 libnvidia-cfg1-535-server libnvidia-compute-535-server nvidia-compute-utils-535-server nvidia-dkms-535-server nvidia-fabricmanager-535
  nvidia-firmware-535-server-535.216.03 nvidia-headless-515-server nvidia-headless-535-server nvidia-headless-no-dkms-535-server nvidia-kernel-common-535-server nvidia-kernel-source-535-server
0 upgraded, 13 newly installed, 12 to remove and 175 not upgraded.
Need to get 85.0 MB/127 MB of archives.
After this operation, 406 MB disk space will be freed.
Get:1 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-kernel-source-535-server amd64 535.216.03-0ubuntu0.24.04.1 [45.1 MB]
Get:2 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-firmware-535-server-535.216.03 amd64 535.216.03-0ubuntu0.24.04.1 [39.6 MB]                                           
83% [2 nvidia-firmware-535-server-535.216.03 26.8 MB/39.6 MB 68%]                                                                                                                                240 kB/s 54s
Get:3 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-kernel-common-535-server amd64 535.216.03-0ubuntu0.24.04.1 [226 kB]                                                  
Get:4 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-dkms-535-server amd64 535.216.03-0ubuntu0.24.04.1 [51.5 kB]                                                          
Get:5 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-headless-no-dkms-535-server amd64 535.216.03-0ubuntu0.24.04.1 [11.5 kB]                                              
Get:6 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble-updates/restricted amd64 nvidia-headless-535-server amd64 535.216.03-0ubuntu0.24.04.1 [11.3 kB]                                                      
Get:7 https://mirrors.tuna.tsinghua.edu.cn/ubuntu noble/multiverse amd64 nvidia-headless-515-server amd64 525.147.05-0ubuntu2 [6,154 B]                                                                      
Fetched 77.3 MB in 10min 46s (120 kB/s)                                                                                                                                                                      
(Reading database ... 154403 files and directories currently installed.)
Removing nvidia-driver-560 (560.35.05-0ubuntu1) ...
Removing xserver-xorg-video-nvidia-560 (560.35.05-0ubuntu1) ...
Removing libnvidia-cfg1-560:amd64 (560.35.05-0ubuntu1) ...
Removing nvidia-utils-560 (560.35.05-0ubuntu1) ...
Removing nvidia-compute-utils-560 (560.35.05-0ubuntu1) ...
dpkg: libnvidia-compute-560:amd64: dependency problems, but removing anyway as you requested:
 libnvidia-gl-560:amd64 depends on libnvidia-compute-560 (>= 560.35.05).
 nvidia-cuda-dev:amd64 depends on libnvidia-compute-535 (>= 525) | libnvidia-compute-535-server (>= 525) | libnvidia-compute-525 (>= 525) | libnvidia-compute-525-server (>= 525) | libcuda.so.1 (>= 525) | libcuda-12.0-1; however:
  Package libnvidia-compute-535 is not installed.
  Package libnvidia-compute-535-server is not installed.
  Package libnvidia-compute-525 is not installed.
  Package libnvidia-compute-525-server is not installed.
  Package libcuda.so.1 is not installed.
  Package libnvidia-compute-560:amd64 which provides libcuda.so.1 is to be removed.
  Package libcuda-12.0-1 is not installed.
 libcuinj64-12.0:amd64 depends on libnvidia-compute-535 (>= 525) | libnvidia-compute-535-server (>= 525) | libnvidia-compute-525 (>= 525) | libnvidia-compute-525-server (>= 525) | libcuda.so.1 (>= 525) | libcuda-12.0-1; however:
  Package libnvidia-compute-535 is not installed.
  Package libnvidia-compute-535-server is not installed.
  Package libnvidia-compute-525 is not installed.
  Package libnvidia-compute-525-server is not installed.
  Package libcuda.so.1 is not installed.
  Package libnvidia-compute-560:amd64 which provides libcuda.so.1 is to be removed.
  Package libcuda-12.0-1 is not installed.
 libnvidia-ml-dev:amd64 depends on libnvidia-compute-535 (>= 525) | libnvidia-compute-535-server (>= 525) | libnvidia-compute-525 (>= 525) | libnvidia-compute-525-server (>= 525) | libnvidia-ml.so.1 (>= 525); however:
  Package libnvidia-compute-535 is not installed.
  Package libnvidia-compute-535-server is not installed.
  Package libnvidia-compute-525 is not installed.
  Package libnvidia-compute-525-server is not installed.
  Package libnvidia-ml.so.1 is not installed.
  Package libnvidia-compute-560:amd64 which provides libnvidia-ml.so.1 is to be removed.

Removing libnvidia-compute-560:amd64 (560.35.05-0ubuntu1) ...
Selecting previously unselected package libnvidia-compute-535-server:amd64.
(Reading database ... 154276 files and directories currently installed.)
Preparing to unpack .../libnvidia-compute-535-server_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking libnvidia-compute-535-server:amd64 (535.216.03-0ubuntu0.24.04.1) ...
(Reading database ... 154297 files and directories currently installed.)
Removing libnvidia-encode-560:amd64 (560.35.05-0ubuntu1) ...
Removing libnvidia-decode-560:amd64 (560.35.05-0ubuntu1) ...
Removing libnvidia-gl-560:amd64 (560.35.05-0ubuntu1) ...
Removing nvidia-dkms-560 (560.35.05-0ubuntu1) ...
Removing all DKMS Modules
Done.
INFO:Disable nvidia
DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/dell_latitude
DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/put_your_quirks_here
DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/lenovo_thinkpad
update-initramfs: deferring update (trigger activated)
Removing nvidia-kernel-common-560 (560.35.05-0ubuntu1) ...
update-initramfs: deferring update (trigger activated)
Removing nvidia-kernel-source-560 (560.35.05-0ubuntu1) ...
Selecting previously unselected package nvidia-fabricmanager-535.
(Reading database ... 153709 files and directories currently installed.)
Preparing to unpack .../00-nvidia-fabricmanager-535_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking nvidia-fabricmanager-535 (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package cuda-drivers-fabricmanager-535.
Preparing to unpack .../01-cuda-drivers-fabricmanager-535_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking cuda-drivers-fabricmanager-535 (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package cuda-drivers-fabricmanager-515.
Preparing to unpack .../02-cuda-drivers-fabricmanager-515_525.147.05-0ubuntu3_amd64.deb ...
Unpacking cuda-drivers-fabricmanager-515 (525.147.05-0ubuntu3) ...
Selecting previously unselected package libnvidia-cfg1-535-server:amd64.
Preparing to unpack .../03-libnvidia-cfg1-535-server_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking libnvidia-cfg1-535-server:amd64 (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package nvidia-compute-utils-535-server.
Preparing to unpack .../04-nvidia-compute-utils-535-server_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking nvidia-compute-utils-535-server (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package nvidia-kernel-source-535-server.
Preparing to unpack .../05-nvidia-kernel-source-535-server_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking nvidia-kernel-source-535-server (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package nvidia-firmware-535-server-535.216.03.
Preparing to unpack .../06-nvidia-firmware-535-server-535.216.03_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking nvidia-firmware-535-server-535.216.03 (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package nvidia-kernel-common-535-server.
Preparing to unpack .../07-nvidia-kernel-common-535-server_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking nvidia-kernel-common-535-server (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package nvidia-dkms-535-server.
Preparing to unpack .../08-nvidia-dkms-535-server_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking nvidia-dkms-535-server (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package nvidia-headless-no-dkms-535-server.
Preparing to unpack .../09-nvidia-headless-no-dkms-535-server_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking nvidia-headless-no-dkms-535-server (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package nvidia-headless-535-server.
Preparing to unpack .../10-nvidia-headless-535-server_535.216.03-0ubuntu0.24.04.1_amd64.deb ...
Unpacking nvidia-headless-535-server (535.216.03-0ubuntu0.24.04.1) ...
Selecting previously unselected package nvidia-headless-515-server:amd64.
Preparing to unpack .../11-nvidia-headless-515-server_525.147.05-0ubuntu2_amd64.deb ...
Unpacking nvidia-headless-515-server:amd64 (525.147.05-0ubuntu2) ...
Setting up nvidia-kernel-source-535-server (535.216.03-0ubuntu0.24.04.1) ...
Setting up nvidia-firmware-535-server-535.216.03 (535.216.03-0ubuntu0.24.04.1) ...
Setting up nvidia-fabricmanager-535 (535.216.03-0ubuntu0.24.04.1) ...
Created symlink /etc/systemd/system/multi-user.target.wants/nvidia-fabricmanager.service → /usr/lib/systemd/system/nvidia-fabricmanager.service.
Could not execute systemctl:  at /usr/bin/deb-systemd-invoke line 148.
Setting up libnvidia-cfg1-535-server:amd64 (535.216.03-0ubuntu0.24.04.1) ...
Setting up libnvidia-compute-535-server:amd64 (535.216.03-0ubuntu0.24.04.1) ...
Setting up nvidia-kernel-common-535-server (535.216.03-0ubuntu0.24.04.1) ...
update-initramfs: deferring update (trigger activated)
update-initramfs: Generating /boot/initrd.img-6.8.0-52-generic
Setting up nvidia-compute-utils-535-server (535.216.03-0ubuntu0.24.04.1) ...
info: The home dir /nonexistent you specified can't be accessed: No such file or directory

info: Selecting UID from range 100 to 999 ...

info: Selecting GID from range 100 to 999 ...
info: Adding system user `nvidia-persistenced' (UID 110) ...
info: Adding new group `nvidia-persistenced' (GID 110) ...
info: Adding new user `nvidia-persistenced' (UID 110) with group `nvidia-persistenced' ...
info: Not creating `/nonexistent'.
Setting up nvidia-dkms-535-server (535.216.03-0ubuntu0.24.04.1) ...
update-initramfs: deferring update (trigger activated)
update-initramfs: Generating /boot/initrd.img-6.8.0-52-generic
INFO:Enable nvidia-srv
DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/dell_latitude
DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/put_your_quirks_here
DEBUG:Parsing /usr/share/ubuntu-drivers-common/quirks/lenovo_thinkpad
Loading new nvidia-srv-535.216.03 DKMS files...
Building for 6.8.0-52-generic 6.8.0-55-generic
Building for architecture x86_64
Building initial module for 6.8.0-52-generic
Done.

nvidia.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-52-generic/updates/dkms/

nvidia-modeset.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-52-generic/updates/dkms/

nvidia-drm.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-52-generic/updates/dkms/

nvidia-uvm.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-52-generic/updates/dkms/

nvidia-peermem.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-52-generic/updates/dkms/
depmod...
Building initial module for 6.8.0-55-generic
Done.

nvidia.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-55-generic/updates/dkms/

nvidia-modeset.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-55-generic/updates/dkms/

nvidia-drm.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-55-generic/updates/dkms/

nvidia-uvm.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-55-generic/updates/dkms/

nvidia-peermem.ko.zst:
Running module version sanity check.
 - Original module
   - No original module exists within this kernel
 - Installation
   - Installing to /lib/modules/6.8.0-55-generic/updates/dkms/
depmod...
Setting up cuda-drivers-fabricmanager-535 (535.216.03-0ubuntu0.24.04.1) ...
Setting up nvidia-headless-no-dkms-535-server (535.216.03-0ubuntu0.24.04.1) ...
Setting up cuda-drivers-fabricmanager-515 (525.147.05-0ubuntu3) ...
Setting up nvidia-headless-535-server (535.216.03-0ubuntu0.24.04.1) ...
Setting up nvidia-headless-515-server:amd64 (525.147.05-0ubuntu2) ...
Processing triggers for libc-bin (2.39-0ubuntu8.4) ...
Processing triggers for man-db (2.12.0-4build2) ...
Processing triggers for initramfs-tools (0.142ubuntu25) ...
update-initramfs: Generating /boot/initrd.img-6.8.0-55-generic
Scanning processes...                                                                                                                                                                                         
Scanning candidates...                                                                                                                                                                                        
Scanning linux images...                                                                                                                                                                                      

Pending kernel upgrade!
Running kernel version:
  6.8.0-52-generic
Diagnostics:
  The currently running kernel version is not the expected kernel version 6.8.0-55-generic.

Restarting the system to load the new kernel will not be handled automatically, so you should consider rebooting.

Restarting services...

Service restarts being deferred:
 /etc/needrestart/restart.d/dbus.service
 systemctl restart docker.service
 systemctl restart systemd-logind.service
 systemctl restart unattended-upgrades.service

No containers need to be restarted.

User sessions running outdated binaries:
 root @ session #16: ssh-agent[13109]
 root @ user manager service: systemd[1198]

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Weaviate Python 客户端 4.10.2 版本记录

更新于 2025-03-04 15:02:54

公开 · 所有人可见

weaviate-client 4.10.2

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安装 Weaviate Python 客户端 3.26.7

更新于 2025-03-04 14:42:05

公开 · 所有人可见

pip install weaviate-client==3.26.7

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LangFlow 问题追踪：Issue 6007

更新于 2025-03-04 14:40:33

公开 · 所有人可见

https://github.com/langflow-ai/langflow/issues/6007

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Weaviate Cloud 连接与 Cohere 请求头配置

更新于 2025-03-04 14:13:54

公开 · 所有人可见

    if self.api_key:
        
        auth_config = weaviate.AuthApiKey(api_key=self.api_key)
        client = weaviate.WeaviateClient(url=self.url, auth_client_secret=auth_config)
        # Connect to Weaviate Cloud
        auth_config = Auth.api_key(weaviate_api_key)
        client = weaviate.connect_to_weaviate_cloud(
            cluster_url=self.url,
            auth_credentials=Auth.api_key(weaviate_api_key),
            headers={
                "X-Cohere-Api-Key": cohere_api_key
            }
        )
    else:
        client = weaviate.WeaviateClient(url=self.url)
        client = weaviate.connect_to_weaviate_cloud(
            cluster_url=self.url,
            auth_credentials=Auth.api_key(weaviate_api_key),
            headers={
                "X-Cohere-Api-Key": cohere_api_key
            }
        )

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LangFlow 调试日记

更新于 2025-03-04 11:32:40

公开 · 所有人可见

LangFlow 调试日记

weaviate 报错

问题如下
weaviate sdk 已经升级到 v4 了但是默认代码还是 v3

> Python client v3 `weaviate.Client(...)` has been removed.

Upgrade your code to use Python client v4 `weaviate.WeaviateClient` connections and methods.
    - For Python Client v4 usage, see: https://weaviate.io/developers/weaviate/client-libraries/python
    - For code migration, see: https://weaviate.io/developers/weaviate/client-libraries/python/v3_v4_migration

If you have to use v3 code, install the v3 client and pin the v3 dependency in your requirements file: `weaviate-client>=3.26.7;<4.0.0`

调整代码 weaviate.Client -> weaviate.WeaviateClient

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对已经启动的 docker 容器修改开机自动启动

You

ChatGPT

修改 Docker 容器的开机自启策略

1. 修改单个容器的重启策略

2. 让所有已运行的容器在开机时自动启动

3. 验证容器的 restart 策略

4. 另一种方法：docker-compose 修改 restart 方式

总结

MAC 安装 PostgreSQL 17 日志

ChatGPT API 现在都有哪些模型，模型之间功能和价格有什么区别

You

ChatGPT

1. 通用对话模型

2. 多模态与长上下文模型

3. 专注推理能力的模型

4. 最新旗舰与高情感智能模型

总结

批量删除 Pod

LangFlow 调试日记

3. 验证容器的 `restart` 策略

4. 另一种方法：docker-compose 修改 `restart` 方式