最近在部署CoPaw-0.0.7时，遇到一个问题：

使用 copaw init 安装无法连接ollama（即本地模型）千问模型，以下是详细安装的过程（请参照红色部分）

root@ubuntu-Rack-Server:/home/ubuntu/xxxx/CoPaw-0.0.7/scripts# ./install.sh

[copaw] Using official PyPI source (network is good)

[copaw] Installing CoPaw into /root/.copaw

[copaw] uv found: /root/.local/bin/uv

[copaw] Existing environment found, upgrading...

[copaw] Python environment ready (Python 3.12.13)

[copaw] Installing copaw[ollama] from PyPI...

Using Python 3.12.13 environment at: /root/.copaw/venv

------以下省略一些过程

 + tavily-python==0.7.23

 + tenacity==9.1.4

 + tiktoken==0.12.0

 + tokenizers==0.22.2

 + tqdm==4.67.3

 + transformers==5.3.0

 + twilio==9.10.3

 + typer==0.24.1

 + typing-extensions==4.15.0

 + typing-inspection==0.4.2

 + tzdata==2025.3

 + tzlocal==5.3.1

 + uncalled-for==0.2.0

 + unpaddedbase64==2.1.0

 + urllib3==2.6.3

 + uvicorn==0.41.0

 + uvloop==0.22.1

 + vine==5.1.0

 + watchfiles==1.1.1

 + wcwidth==0.6.0

 + websocket-client==1.9.0

 + websockets==16.0

 + wsproto==1.3.2

 + yarl==1.23.0

 + zipp==3.23.0

[copaw] CoPaw installed successfully

[copaw] Wrapper created at /root/.copaw/bin/copaw

CoPaw installed successfully!

  Install location:  /root/.copaw

  Python:            Python 3.12.13

  Console (web UI):  available

To get started, open a new terminal or run:

  source ~/.zshrc  # or ~/.bashrc

Then run:

  copaw init       # first-time setup

  copaw app        # start CoPaw

To upgrade later, re-run this installer.

To uninstall, run: copaw uninstall

root@ubuntu-Rack-Server:/home/ubuntu/zhuxh/CoPaw-0.0.7/scripts# source ~/.zshrc

root@ubuntu-Rack-Server:/home/ubuntu/zhuxh/CoPaw-0.0.7/scripts# copaw init

Working dir: /root/.copaw

╭─────────────────────────────────────────────────────────  Security warning — please read ─────────────────────────────────────────────────────────╮

│ Security warning — please read.                                                                                                                     │

│                                                                                                                                                     │

│ CoPaw is a personal assistant that runs in your own environment. It can connect to                                                                  │

│ channels (DingTalk, Feishu, QQ, Discord, iMessage, etc.) and run skills that read                                                                   │

│ files, run commands, and call external APIs. By default it is a single-operator                                                                     │

│ boundary: one trusted user. A malicious or confused prompt can lead the agent to                                                                    │

│ do unsafe things if tools are enabled.                                                                                                              │

│                                                                                                                                                     │

│ If multiple people can message the same CoPaw instance with tools enabled, they                                                                     │

│ share the same delegated authority (files, commands, secrets the agent can use).                                                                    │

│                                                                                                                                                     │

│ If you are not comfortable with access control and hardening, do not run CoPaw with                                                                 │

│ tools or expose it to untrusted users. Get help from someone experienced before                                                                     │

│ enabling powerful skills or exposing the bot to the internet.                                                                                       │

│                                                                                                                                                     │

│ Recommended baseline:                                                                                                                               │

│ - Restrict which channels and users can trigger the agent; use allowlists where possible.                                                           │

│ - Multi-user or shared inbox: use separate config/credentials and ideally separate                                                                  │

│   OS users or hosts per trust boundary.                                                                                                             │

│ - Run skills with least privilege; sandbox where you can.                                                                                           │

│ - Keep secrets out of the agent's working directory and skill-accessible paths.                                                                     │

│ - Use a capable model when the agent has tools or handles untrusted input.                                                                          │

│                                                                                                                                                     │

│ Review your config and skills regularly; limit tool scope to what you need.                                                                         │

╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

? Have you read and accepted the security notice above? (yes to continue, no to abort) Yes

? /root/.copaw/config.json exists. Do you want to overwrite it? ("no" for skipping the configuration process) Yes

=== Heartbeat Configuration ===

Heartbeat interval (e.g. 30m, 1h) [6h]:

? Heartbeat target: main

? Set active hours for heartbeat? (skip = run 24h) No

? Show tool call/result details in channel messages? Yes

? Select language for MD files: zh

? Configure channels? (iMessage/Discord/DingTalk/Feishu/QQ/Console) No

✓ Configuration saved to /root/.copaw/config.json

=== LLM Provider Configuration (required) ===

--- Provider Configuration ---

? Select provider to configure API key: Ollama (ollama) [✓]

Ollama does not require API key configuration. Skipping.

--- Activate Ollama Model ---

? Select provider for LLM: Ollama (ollama)

LLM model name (required): []: qwen3:32b

Error: Model 'qwen3:32b' not found in provider 'ollama'.

root@ubuntu-Rack-Server:/home/ubuntu/xxxx/CoPaw-0.0.7/scripts#

而ollama是启动状态：

在网上查阅资料后，采用copaw init --init安装后，顺利安装完毕，并启动了服务：

注：由于默认端口8080被占用，我在启动时使用了9000端口

界面显示如下：

然后在网页ollama配置中，点击 “模型”按钮，在弹出框中，显示了模型列表（默认情况下可能不显示，点击刷新按钮刷新一下，如果还不显示，请在ollama中配置环境为整个网络可见，然后同时重启ollama服务（注：ollama启动速度有点慢，稍微等一下，在启动的环境变量中可以看到是否是0.0.0.0:11434还是127.0.0.1：11434））：

问题点：在对本地模型进行测试时，发现如下情况：

deepseek-r1时，能够正常连接。

在连接本地的其他模型时，发现不能正常连接：

各位网友有没有遇到上述的问题，请多多指教～～～