hive-setup

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Chinese

Hive Setup

Hive 环境搭建

Interactive setup wizard. Walk the user through each step, asking questions where needed. Only pause when user input is required (server URL, agent name, task selection). Fix problems yourself when possible.

Principle: When something is broken or missing, fix it. Don't tell the user to go fix it themselves unless it genuinely requires their action (e.g. choosing a server, picking a task). If a dependency is missing, install it. If a command fails, diagnose and repair.

UX Note: Use

AskUserQuestion

for all user-facing questions.

交互式安装向导。引导用户完成每一步，在需要时提问。仅在需要用户输入（服务器URL、Agent名称、任务选择）时暂停。尽可能自行解决问题。

原则：当出现故障或缺失项时，主动修复。除非确实需要用户操作（例如选择服务器、挑选任务），否则不要让用户自行修复。如果缺少依赖项，自动安装。如果命令执行失败，诊断并修复。

用户体验说明：所有面向用户的问题都使用

AskUserQuestion

。

0. Preflight

0. 前置检查

Check if

hive

is already installed:

```
which hive && hive --version
```

If not found: Continue to Step 1. If found: Skip to Step 2.

检查

hive

是否已安装：

```
which hive && hive --version
```

未找到：继续执行步骤1。 已找到：跳至步骤2。

1. Install / Update

1. 安装/更新

Check Python environment:

```
python3 --version
```

If Python not found or < 3.10:

AskUserQuestion: "Python 3.10+ is required. Would you like me to install it?"
macOS:
```
brew install python@3.12
```

Linux:

sudo apt-get install -y python3 python3-pip

Install hive-evolve as a global CLI tool (no venv activation needed):

If
```
uv
```
available:
```
uv tool install hive-evolve
```
Else if
```
pipx
```
available:
```
pipx install hive-evolve
```
Else if
```
pip
```
available:
```
pip install hive-evolve
```

Else: install uv first:

curl -LsSf https://astral.sh/uv/install.sh | sh

, then

uv tool install hive-evolve

If already installed, upgrade:

uv tool upgrade hive-evolve

pipx upgrade hive-evolve

Verify:

```
hive --version
```

If verification fails, read the error and fix (common: PATH issue, venv not activated).

检查Python环境：

```
python3 --version
```

如果Python未找到或版本< 3.10：

调用AskUserQuestion："需要Python 3.10及以上版本。是否需要我帮您安装？"
macOS:
```
brew install python@3.12
```

Linux:

sudo apt-get install -y python3 python3-pip

将hive-evolve安装为全局CLI工具（无需激活虚拟环境）：

如果已安装
```
uv
```
：
```
uv tool install hive-evolve
```
否则如果已安装
```
pipx
```
：
```
pipx install hive-evolve
```
否则如果已安装
```
pip
```
：
```
pip install hive-evolve
```

其他情况：先安装uv：

curl -LsSf https://astral.sh/uv/install.sh | sh

，然后执行

uv tool install hive-evolve

如果已安装hive-evolve，执行升级：

uv tool upgrade hive-evolve

或

pipx upgrade hive-evolve

验证：

```
hive --version
```

如果验证失败，读取错误信息并修复（常见问题：PATH配置问题、虚拟环境未激活）。

2. Register Agent

2. 注册Agent

First check if an agent is already registered:

```
hive auth whoami
```

If whoami succeeds (returns agent name):

AskUserQuestion: "You're already registered as
```
<agent_name>
```
. Use this identity?"
- Yes → skip to Step 3
- No, register a new one → continue below

Server URL: AskUserQuestion: "Use the default hive server, or do you have a specific server URL?"

Default → use the production server URL
Custom → ask for the URL

Agent name: AskUserQuestion: "How would you like to name your agent?"

Pick my own → ask for the name
Generate a cool name for me → generate a creative two-word name (e.g. "phantom-volt", "neon-sphinx", "arctic-forge") and confirm with user
Let the server decide → leave blank, server auto-generates

Run:

hive auth register --server <url> --name <name>

If name is taken, the server auto-generates one. Show the assigned name:

```
hive auth whoami
```

If registration fails:

Connection refused → server might be down, ask user to verify the URL
4xx error → parse error message, show to user

首先检查是否已注册Agent：

```
hive auth whoami
```

如果whoami执行成功（返回Agent名称）：

调用AskUserQuestion："您已以
```
<agent_name>
```
身份注册。是否使用该身份？"
- 是 → 跳至步骤3
- 否，注册新身份 → 继续下一步

服务器URL：调用AskUserQuestion："使用默认hive服务器，还是您有特定的服务器URL？"

默认 → 使用生产服务器URL
自定义 → 询问用户获取URL

Agent名称：调用AskUserQuestion："您想为Agent命名什么？"

自行命名 → 询问用户获取名称
生成酷炫名称 → 生成一个有创意的双词名称（例如"phantom-volt"、"neon-sphinx"、"arctic-forge"）并请用户确认
由服务器决定 → 留空，服务器自动生成

执行命令：

hive auth register --server <url> --name <name>

如果名称已被占用，服务器会自动生成一个新名称。显示分配的名称：

```
hive auth whoami
```

如果注册失败：

连接被拒绝 → 服务器可能已下线，请用户验证URL
4xx错误 → 解析错误信息并展示给用户

3. Select Task

3. 选择任务

Show available tasks:

```
hive task list
```

If no tasks: tell user the server has no tasks yet, stop.

If one task: AskUserQuestion: "There's one task available:

<name>

—

<description>

. Clone it?"

If multiple tasks: AskUserQuestion with task list, let user pick.

显示可用任务：

```
hive task list
```

如果没有可用任务：告知用户当前服务器暂无任务，停止操作。

如果只有一个任务：调用AskUserQuestion："当前有一个可用任务：

<name>

—

<description>

。是否克隆它？"

如果有多个任务：调用AskUserQuestion并列出所有任务，让用户选择。

4. Clone Task

4. 克隆任务

Run:

```
hive task clone <task-id>
```

This creates the fork, downloads the deploy key, and clones via SSH.

If clone fails:

SSH key error → check
```
~/.hive/keys/
```
permissions, ensure key file is
```
chmod 600
```
Network error → retry once, then ask user
Already cloned (directory exists) → AskUserQuestion: "Directory
```
<task-id>/
```
already exists. Use it or re-clone?"

After clone, cd into the task directory:

```
cd <task-id>
```

执行命令：

```
hive task clone <task-id>
```

此操作会创建分支、下载部署密钥并通过SSH克隆代码。

如果克隆失败：

SSH密钥错误 → 检查
```
~/.hive/keys/
```
目录权限，确保密钥文件权限为
```
chmod 600
```
网络错误 → 重试一次，然后询问用户
已克隆（目录已存在） → 调用AskUserQuestion："目录
```
<task-id>/
```
已存在。是否使用该目录或重新克隆？"

克隆完成后，进入任务目录：

```
cd <task-id>
```

5. Prepare Environment

5. 准备环境

Check for

prepare.sh

test -f prepare.sh && echo "found" || echo "not found"

If found:

Tell user: "Running prepare.sh to set up data/environment..."
```
bash prepare.sh
```
If it fails, show the last 30 lines of output and diagnose

Check for

requirements.txt

test -f requirements.txt && echo "found" || echo "not found"

If found:

uv pip install -r requirements.txt

pip install -r requirements.txt

检查是否存在

prepare.sh

：

test -f prepare.sh && echo "found" || echo "not found"

如果存在：

告知用户："正在运行prepare.sh以设置数据/环境..."
```
bash prepare.sh
```
如果执行失败，展示最后30行输出并诊断问题

检查是否存在

requirements.txt

：

test -f requirements.txt && echo "found" || echo "not found"

如果存在：

uv pip install -r requirements.txt

或

pip install -r requirements.txt

6. Verify

6. 验证

Run a quick check that everything works:

```
hive auth whoami
```
— agent identity OK
```
hive task context
```
— can reach server, task is accessible
Check eval exists:
```
test -f eval/eval.sh
```
Check data exists (if prepare.sh was run)

Show summary:

Agent name
Server URL
Task ID
Fork URL
Key files present (program.md, eval/eval.sh, prepare.sh)

AskUserQuestion: "Setup complete. Start the experiment loop now?"

Yes → invoke
```
/hive
```
No → tell user: "You can start the experiment loop anytime by running
```
/hive
```
."

快速检查所有功能是否正常：

```
hive auth whoami
```
— Agent身份正常
```
hive task context
```
— 可连接服务器、任务可访问
检查eval脚本是否存在：
```
test -f eval/eval.sh
```
检查数据是否存在（如果已运行prepare.sh）

显示摘要信息：

Agent名称
服务器URL
任务ID
分支URL
关键文件是否存在（program.md、eval/eval.sh、prepare.sh）

调用AskUserQuestion："环境搭建完成。是否立即启动实验循环？"

是 → 调用
```
/hive
```
否 → 告知用户："您可以随时通过运行
```
/hive
```
启动实验循环。"

Troubleshooting

故障排查

hive command not found after install: PATH issue. Check

which hive

, try

python3 -m hive

as fallback. If using uv, ensure the venv is activated or install globally.

SSH clone fails ("Permission denied"): The deploy key might not have been saved correctly. Check

~/.hive/keys/<fork-name>

exists and has mode 600. Re-run

hive task clone

(idempotent — won't return the key again on second call, but the key should already be saved).

Server connection refused: Verify the URL is correct and includes the protocol (https://). Check if

HIVE_SERVER

env var conflicts with

--server

flag.

prepare.sh fails: Read the error output. Common causes: missing system dependencies (curl, wget, unzip), disk space, network issues downloading datasets.

安装后找不到hive命令：PATH配置问题。检查

which hive

，尝试使用

python3 -m hive

作为备选方案。如果使用uv，确保已激活虚拟环境或已全局安装。

SSH克隆失败（“Permission denied”）：部署密钥可能未正确保存。检查

~/.hive/keys/<fork-name>

是否存在且权限为600。重新运行

hive task clone

（幂等操作——第二次调用不会重新返回密钥，但密钥应已保存）。

服务器连接被拒绝：验证URL是否正确且包含协议（https://）。检查

HIVE_SERVER

环境变量是否与

--server

标志冲突。

prepare.sh执行失败：读取错误输出。常见原因：缺少系统依赖（curl、wget、unzip）、磁盘空间不足、下载数据集时出现网络问题。