teamclawtestv101

AI Agent需配置 API Key

高性能代理子系统，专为复杂多代理编排（OASIS）、自动化计算机使用任务和实时视觉监控而设计，...

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Language: English | 中文

Teamclaw — Agent Subsystem Skill (English)#

Overview#

Teamclaw is a multifunctional AI Agent service providing:

Conversational Agent: A multi-tool AI assistant based on LangGraph that supports streaming/non-streaming conversations
OASIS Forum: A multi-expert parallel discussion/execution engine that orchestrates collaboration among multiple Agents
Scheduled Tasks: A task scheduling center based on APScheduler
Bark Push: Mobile push notifications
Web UI Frontend: A complete chat interface

Skill Scripts#

All scripts are located in selfskill/scripts/ and are called uniformly through the run.sh entry point. All are non-interactive.

text

selfskill/scripts/
├── run.sh          # Main entry (start/stop/status/setup/add-user/configure)
├── adduser.py      # Non-interactive user creation
└── configure.py    # Non-interactive .env configuration management

Quick Start#

All commands are executed from the project root directory.

1. Initial Deployment#

bash

# Install dependencies
bash selfskill/scripts/run.sh setup

# Initialize configuration file
bash selfskill/scripts/run.sh configure --init

# Configure LLM (required)
bash selfskill/scripts/run.sh configure --batch \
  LLM_API_KEY=sk-your-key \
  LLM_BASE_URL=https://api.deepseek.com \
  LLM_MODEL=deepseek-chat

# Create user
bash selfskill/scripts/run.sh add-user system MySecurePass123

2. Start/Stop/Status#

bash

bash selfskill/scripts/run.sh start     # Start background service
bash selfskill/scripts/run.sh status    # Check status
bash selfskill/scripts/run.sh stop      # Stop service

3. Configuration Management#

bash

# View current configuration (sensitive values masked)
bash selfskill/scripts/run.sh configure --show

# Set single item
bash selfskill/scripts/run.sh configure PORT_AGENT 51200

# Batch set
bash selfskill/scripts/run.sh configure --batch TTS_MODEL=gemini-2.5-flash-preview-tts TTS_VOICE=charon

Configurable Items#

Configuration ItemDescriptionDefault ValueLLM_API_KEYLLM API key ( required)—LLM_BASE_URLLLM API addresshttps://api.deepseek.com``LLM_MODELModel namedeepseek-chat``LLM_PROVIDERProvider (google/anthropic/deepseek/openai, auto-inferred)AutoLLM_VISION_SUPPORTImage support (auto-inferred)AutoPORT_AGENTMain Agent service port51200``PORT_SCHEDULERScheduling port51201``PORT_OASISOASIS forum port51202``PORT_FRONTENDWeb UI port51209``PORT_BARKBark push port58010``TTS_MODELTTS model (optional)—TTS_VOICETTS voice (optional)—INTERNAL_TOKENInternal communication key (auto-generated)Auto

Ports and Services#

PortService51200AI Agent main service51201Scheduled tasks51202OASIS forum51209Web UI

API Authentication#

Method 1: User Authentication#

text

Authorization: Bearer <user_id>:<password>

Method 2: Internal Token (inter-service calls, recommended)#

text

Authorization: Bearer <INTERNAL_TOKEN>:<user_id>

INTERNAL_TOKEN is auto-generated on the first startup and can be viewed via configure --show-raw.

Core APIs#

Base URL: http://127.0.0.1:51200

Chat (OpenAI Compatible)#

text

POST /v1/chat/completions
Authorization: Bearer <token>

{"model":"mini-timebot","messages":[{"role":"user","content":"Hello"}],"stream":true,"session_id":"my-session"}

System Trigger (Internal Call)#

text

POST /system_trigger
X-Internal-Token: <INTERNAL_TOKEN>

{"user_id":"system","text":"Execute task","session_id":"task-001"}

Cancel Session#

text

POST /cancel

{"user_id":"<user_id>","session_id":"<session_id>"}

OASIS Discussion/Execution#

text

POST http://127.0.0.1:51202/topics

{"question":"Discussion topic","user_id":"system","max_rounds":3,"discussion":true,"schedule_yaml":"...","callback_url":"http://127.0.0.1:51200/system_trigger","callback_session_id":"my-session"}

Example Configuration Reference#

Below is a sample configuration from an actual running instance (sensitive information masked):

bash

bash selfskill/scripts/run.sh configure --init
bash selfskill/scripts/run.sh configure --batch \
  LLM_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxx4c74 \
  LLM_BASE_URL=https://deepseek.com \
  LLM_MODEL=deepseek-chat \
  LLM_VISION_SUPPORT=true \
  TTS_MODEL=gemini-2.5-flash-preview-tts \
  TTS_VOICE=charon \
  PORT_AGENT=51200 \
  PORT_SCHEDULER=51201 \
  PORT_OASIS=51202 \
  PORT_FRONTEND=51209 \
  PORT_BARK=58010 \
  OPENAI_STANDARD_MODE=false
bash selfskill/scripts/run.sh add-user system <your-password>

Output of configure --show after configuration:

text

  PORT_SCHEDULER=51201
  PORT_AGENT=51200
  PORT_FRONTEND=51209
  PORT_OASIS=51202
  OASIS_BASE_URL=http://127.0.0.1:51202
  PORT_BARK=58010
  INTERNAL_TOKEN=f1aa****57e7          # Auto-generated, do not leak
  LLM_API_KEY=sk-7****4c74
  LLM_BASE_URL=https://deepseek.com
  LLM_MODEL=deepseek-chat
  LLM_VISION_SUPPORT=true
  TTS_MODEL=gemini-2.5-flash-preview-tts
  TTS_VOICE=charon
  OPENAI_STANDARD_MODE=false

Note: INTERNAL_TOKEN is auto-generated on first startup, PUBLIC_DOMAIN / BARK_PUBLIC_URL are auto-written by tunnel, no manual configuration needed.

Typical Usage Workflow#

bash

cd /home/avalon/Teamclaw

# Initial configuration
bash selfskill/scripts/run.sh setup
bash selfskill/scripts/run.sh configure --init
bash selfskill/scripts/run.sh configure --batch LLM_API_KEY=sk-xxx LLM_BASE_URL=https://api.deepseek.com LLM_MODEL=deepseek-chat
bash selfskill/scripts/run.sh add-user system MyPass123

# Start service
bash selfskill/scripts/run.sh start

# Access Web UI
# Open browser and navigate to: http://127.0.0.1:51209
# Log in with username: system and password: MyPass123

# Call API
curl -X POST http://127.0.0.1:51200/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer system:MyPass123" \
  -d '{"model":"mini-timebot","messages":[{"role":"user","content":"Hello"}],"stream":false,"session_id":"default"}'

# Stop service
bash selfskill/scripts/run.sh stop

Important Notes#

All skill scripts are located in selfskill/scripts/ and do not affect the original project functionality
Process management via PID files; start supports idempotent calls
Do not leak INTERNAL_TOKEN
Log path: logs/launcher.log
How to Enable Visualization & Login:
- After starting the service, open your browser and navigate to http://127.0.0.1:51209
- Use the credentials you created with add-user command (default: username system, password MySecurePass123)
- You can now access the chat interface and participate in OASIS forum discussions

Teamclaw — Agent 子系统 Skill (中文)#

简介#

Teamclaw 是一个多功能 AI Agent 服务，提供：

对话 Agent：基于 LangGraph 的多工具 AI 助手，支持流式/非流式对话
OASIS 论坛：多专家并行讨论/执行引擎，可编排多个 Agent 协作
定时调度：基于 APScheduler 的任务调度中心
Bark 推送：移动端推送通知
前端 Web UI：完整的聊天界面

Skill 脚本#

所有脚本位于 selfskill/scripts/，统一通过 run.sh 入口调用， 全部非交互式。

text

selfskill/scripts/
├── run.sh          # 主入口（start/stop/status/setup/add-user/configure）
├── adduser.py      # 非交互式用户创建
└── configure.py    # 非交互式 .env 配置管理

快速启动#

所有命令在项目根目录下执行。

1. 首次部署#

bash

# 安装依赖
bash selfskill/scripts/run.sh setup

# 初始化配置文件
bash selfskill/scripts/run.sh configure --init

# 配置 LLM（必填）
bash selfskill/scripts/run.sh configure --batch \
  LLM_API_KEY=sk-your-key \
  LLM_BASE_URL=https://api.deepseek.com \
  LLM_MODEL=deepseek-chat

# 创建用户
bash selfskill/scripts/run.sh add-user system MySecurePass123

2. 启动/停止/状态#

bash

bash selfskill/scripts/run.sh start     # 后台启动
bash selfskill/scripts/run.sh status    # 检查状态
bash selfskill/scripts/run.sh stop      # 停止服务

3. 配置管理#

bash

# 查看当前配置（敏感值脱敏）
bash selfskill/scripts/run.sh configure --show

# 设置单项
bash selfskill/scripts/run.sh configure PORT_AGENT 51200

# 批量设置
bash selfskill/scripts/run.sh configure --batch TTS_MODEL=gemini-2.5-flash-preview-tts TTS_VOICE=charon

可配置项#

配置项说明默认值LLM_API_KEYLLM API 密钥（必填）—LLM_BASE_URLLLM API 地址https://api.deepseek.com``LLM_MODEL模型名称deepseek-chat``LLM_PROVIDER厂商（google/anthropic/deepseek/openai，可自动推断）自动LLM_VISION_SUPPORT是否支持图片（可自动推断）自动PORT_AGENTAgent 主服务端口51200``PORT_SCHEDULER定时调度端口51201``PORT_OASISOASIS 论坛端口51202``PORT_FRONTENDWeb UI 端口51209``PORT_BARKBark 推送端口58010``TTS_MODELTTS 模型（可选）—TTS_VOICETTS 声音（可选）—INTERNAL_TOKEN内部通信密钥（自动生成）自动

端口与服务#

端口服务51200AI Agent 主服务51201定时调度51202OASIS 论坛51209Web UI

API 认证#

方式 1：用户认证#

text

Authorization: Bearer <user_id>:<password>

方式 2：内部 Token（服务间调用，推荐）#

text

Authorization: Bearer <INTERNAL_TOKEN>:<user_id>

INTERNAL_TOKEN 首次启动自动生成，可通过 configure --show-raw 查看。

核心 API#

Base URL: http://127.0.0.1:51200

对话（OpenAI 兼容）#

text

POST /v1/chat/completions
Authorization: Bearer <token>

{"model":"mini-timebot","messages":[{"role":"user","content":"你好"}],"stream":true,"session_id":"my-session"}

系统触发（内部调用）#

text

POST /system_trigger
X-Internal-Token: <INTERNAL_TOKEN>

{"user_id":"system","text":"请执行某任务","session_id":"task-001"}

终止会话#

text

POST /cancel

{"user_id":"<user_id>","session_id":"<session_id>"}

OASIS 讨论/执行#

text

POST http://127.0.0.1:51202/topics

{"question":"讨论主题","user_id":"system","max_rounds":3,"discussion":true,"schedule_yaml":"...","callback_url":"http://127.0.0.1:51200/system_trigger","callback_session_id":"my-session"}

案例配置参考#

以下是一份实际运行的配置示例（敏感信息已脱敏）：

bash

bash selfskill/scripts/run.sh configure --init
bash selfskill/scripts/run.sh configure --batch \
  LLM_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxx4c74 \
  LLM_BASE_URL=https://deepseek.com \
  LLM_MODEL=deepseek-chat \
  LLM_VISION_SUPPORT=true \
  TTS_MODEL=gemini-2.5-flash-preview-tts \
  TTS_VOICE=charon \
  PORT_AGENT=51200 \
  PORT_SCHEDULER=51201 \
  PORT_OASIS=51202 \
  PORT_FRONTEND=51209 \
  PORT_BARK=58010 \
  OPENAI_STANDARD_MODE=false
bash selfskill/scripts/run.sh add-user system <your-password>

配置完成后 configure --show 输出：

text

  PORT_SCHEDULER=51201
  PORT_AGENT=51200
  PORT_FRONTEND=51209
  PORT_OASIS=51202
  OASIS_BASE_URL=http://127.0.0.1:51202
  PORT_BARK=58010
  INTERNAL_TOKEN=f1aa****57e7          # 自动生成，勿泄露
  LLM_API_KEY=sk-7****4c74
  LLM_BASE_URL=https://deepseek.com
  LLM_MODEL=deepseek-chat
  LLM_VISION_SUPPORT=true
  TTS_MODEL=gemini-2.5-flash-preview-tts
  TTS_VOICE=charon
  OPENAI_STANDARD_MODE=false

说明： INTERNAL_TOKEN 首次启动自动生成， PUBLIC_DOMAIN / BARK_PUBLIC_URL 由 tunnel 自动写入，无需手动配置。

典型使用流程#

bash

cd /home/avalon/Teamclaw

# 首次配置
bash selfskill/scripts/run.sh setup
bash selfskill/scripts/run.sh configure --init
bash selfskill/scripts/run.sh configure --batch LLM_API_KEY=sk-xxx LLM_BASE_URL=https://api.deepseek.com LLM_MODEL=deepseek-chat
bash selfskill/scripts/run.sh add-user system MyPass123

# 启动
bash selfskill/scripts/run.sh start

# 访问 Web UI
# 打开浏览器导航到：http://127.0.0.1:51209
# 使用用户名：system，密码：MyPass123 登录

# 调用 API
curl -X POST http://127.0.0.1:51200/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer system:MyPass123" \
  -d '{"model":"mini-timebot","messages":[{"role":"user","content":"你好"}],"stream":false,"session_id":"default"}'

# 停止
bash selfskill/scripts/run.sh stop

注意事项#

所有 skill 脚本位于 selfskill/scripts/，不影响项目原有功能
通过 PID 文件管理进程， start 支持幂等调用
INTERNAL_TOKEN 勿泄露
日志路径: logs/launcher.log
如何开启可视化界面和登录：
- 启动服务后，打开浏览器导航到 http://127.0.0.1:51209
- 使用通过 add-user 命令创建的凭证（默认：用户名 system，密码 MySecurePass123）
- 即可访问聊天界面并参与 OASIS 论坛讨论

捕获经验教训、错误及修正内容，以实现持续改进。适用于以下场景：（1）命令或操作意外失败；（2）用户纠正Claude（如“不，那不对……”“实际上……”）；（3）用户请求的功能不存在；（4）外部API或工具出现故障；（5）Claude发现自身知识已过时或不正确；（6）针对重复性任务发现了更优方法。同时，在执行重大任务前应回顾已积累的经验教训。

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teamclawtestv101

Teamclaw — Agent Subsystem Skill (English)#

Overview#

Skill Scripts#

Quick Start#

1. Initial Deployment#

2. Start/Stop/Status#

3. Configuration Management#

Configurable Items#

Ports and Services#

API Authentication#

Method 1: User Authentication#

Method 2: Internal Token (inter-service calls, recommended)#

Core APIs#

Chat (OpenAI Compatible)#

System Trigger (Internal Call)#

Cancel Session#

OASIS Discussion/Execution#

Example Configuration Reference#

Typical Usage Workflow#

Important Notes#

Teamclaw — Agent 子系统 Skill (中文)#

简介#

Skill 脚本#

快速启动#

1. 首次部署#

2. 启动/停止/状态#

3. 配置管理#

可配置项#

端口与服务#

API 认证#

方式 1：用户认证#

方式 2：内部 Token（服务间调用，推荐）#

核心 API#

对话（OpenAI 兼容）#

系统触发（内部调用）#

终止会话#

OASIS 讨论/执行#

案例配置参考#

典型使用流程#

注意事项#

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