### Installation and Setup

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/myai/iszapfalo_api/README.md

Commands to navigate to the project directory and install required dependencies.

```bash
cd F:\mcp-brunella-core\myai\iszapfalo_api
```

```bash
pip install -r requirements.txt
```

--------------------------------

### Installation and Setup

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/interpreter clli.md

Basic commands to prepare the environment for the project.

```bash
cd myai
pip install -r requirements.txt

# Ollama-ban legyen pl. llama3.1 lehúzva:
```

--------------------------------

### Install and Run Development Server

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/tool-outputs/session-855c0ab5-0cb8-4f90-a34e-ba1f64c8e5ad/read_file_read_file_1772040902252_0_otk7yn.txt

Use this command to install dependencies and start the development server for both the backend and the UI. The backend runs on port 3000 and the dashboard on port 5173.

```bash
npm install && npm run build
npm run dev          # Backend (:3000)
npm run dev:ui       # Dashboard (:5173)
```

--------------------------------

### Configuration File Execution

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/src/dashboard/assets/documents/workflow.md

Example of starting the application with an explicitly defined configuration file via environment variables.

```bash
CONFIG_FILE=./custom-config.json npm start
```

--------------------------------

### Install Dependencies and Setup

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/_KNOWLEDGE_BASE/uj.md

Installs necessary Python libraries and Playwright browser binaries. Ensure your GOOGLE_API_KEY and N8N_URL are correctly configured.

```python
# 1. Szükséges eszközök telepítése

!pip install -q playwright langchain-google-generative-ai browser-use nest_asyncio
!playwright install chromium

import os, asyncio, nest_asyncio
from langchain_google_generative_ai import ChatGoogleGenerativeAI
from browser_use import Agent

nest_asyncio.apply()


# 2. KONFIGURÁCIÓ - IDE ÍRD AZ ADATAIDAT!
os.environ["GOOGLE_API_KEY"] = "A_TE_GEMINI_API_KULCSOD"
N8N_URL = "http://A_TE_N8N_CIMED:5678" # pl. ngrok cím vagy helyi IP
JSON_URL = "https://raw.githubusercontent.com/n8n-io/n8n/master/packages/cli/templates/sample-workflow.json"
```

--------------------------------

### Start Server with npm

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/robotkezv2-user-guide.md

Use these npm commands to start the backend and the dashboard. The Python subsystem can be started separately if needed.

```bash
# Teljes rendszer indítás
npm run dev         # Backend (port 3000)
npm run dev:ui      # Dashboard (port 5173)

# Python alrendszer (ha külön szükséges)
cd myai && uvicorn server:app --reload --port 8000
```

--------------------------------

### Run Build and Start Brunella Core

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/_archive/reports/JELENTES.md

Ensures a clean installation and successful build before starting the Brunella Core server and dashboard. Use this for initial setup or after dependency changes.

```bash
npm run build
npm start
```

--------------------------------

### Install and Run Langflow

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/bas-cloudflare-orchestrator/langflow/README.md

Commands to set up a virtual environment, install the Langflow package, and start the service.

```powershell
# Virtuális környezet (ajánlott)
python -m venv langflow-env
.\langflow-env\Scripts\Activate.ps1

# Telepítés
pip install langflow

# Indítás
langflow run --host 0.0.0.0 --port 7860
```

--------------------------------

### Setup Script for mcp-brunella-core

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/jules-repo-config.md

Copy this entire block into the 'Setup script' field in Jules. It installs Node.js dependencies, builds the project, and sets up Python if the 'myai' directory exists.

```bash
#!/bin/bash
set -e
echo "[Jules] Setting up mcp-brunella-core..."

# Node.js
npm ci
npm run build

# Python (myai)
if [ -d myai ] && [ -f myai/requirements.txt ]; then
  pip install -r myai/requirements.txt
  export PYTHONPATH="${PYTHONPATH:+$PYTHONPATH:}$(pwd)"
fi

echo "[Jules] Setup complete. Run: npm test"

```

--------------------------------

### Host-Native Supervision Setup

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/README.md

Commands to install host-native supervision services for Windows and Linux.

```bash
# Host-native supervision
npm run services:preflight
powershell -ExecutionPolicy Bypass -File scripts\supervisors\windows\install-windows-services.ps1
bash scripts/supervisors/linux/install-systemd-services.sh
```

--------------------------------

### Example: Robot Hand Test with Jules CLI Wrapper

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/JULES_INTEGRATION.md

Demonstrates starting a complex testing task with Jules CLI wrapper, watching its completion, and notes the merge command for applying changes.

```bash
# 1. Jules task indítás
python scripts/jules_cli_wrapper.py new "Complete robotkéz level 3 monitoring test with real-time dashboard updates"

# Output:
# ✅ Session ID: 12345678901234567890
# 
# 📌 Watch parancs:
#    python scripts/jules_cli_wrapper.py watch 12345678901234567890

# 2. Watch (auto-pull ha kész)
python scripts/jules_cli_wrapper.py watch 12345678901234567890

# 3. Amikor kész:
# ✅ Session kész: 12345678901234567890
# ✅ Auto-pull sikeres!
# 
# 📌 Merge parancs:
#    git fetch origin && git merge origin/robotkez-level3-fix-12345
```

--------------------------------

### Setup and Configuration

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/JULES_CLI_QUICK_START.md

Initial build and configuration steps for the Jules CLI.

```bash
# 1. Build (ha még nem volt)
npm run build

# 2. API Key (.env-ben)
echo "JULES_API_KEY=qu7ry0ppQSjg..." >> .env

# 3. Próbáld ki!
brunella jules menu
```

--------------------------------

### Track Status Example

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/2026-02-11-this-session-is-being-continued-from-a-previous-co.txt

Example of how to use the 'brunella tracks status' command to get the status of a specific track.

```bash
  # Track státusz lekérdezése
  brunella tracks status realtime-agent-status-dashboard
```

--------------------------------

### Installation Commands

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/src/dashboard/assets/documents/workflow.md

Standard commands for setting up the development environment.

```bash
# Függőségek telepítése
npm install

# Build
npm run build

# Fejlesztési mód (watch)
npm run watch

# Dev mód (ts-node)
npm run dev
```

--------------------------------

### Quick Start Commands

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/tool-outputs/read_file_97.txt

Commands to initialize the backend, Python API, test MCP tools, and launch the dashboard.

```bash
# Start backend
npm run dev

# Start Python API (optional)
cd myai && uvicorn server:app --reload --port 8000

# Test MCP tools
curl http://localhost:3000/api/v1/mcp/tools | python -m json.tool

# View dashboard
npm run dev:ui
# Navigate to: MCP Command Center (Shield icon in sidebar)
```

--------------------------------

### Start AnythingLLM (Optional)

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/_archive/reports/DASHBOARD_INTEGRATION_REPORT.md

Instructions for starting AnythingLLM, either via command line or as a service. This is optional.

```bash
# AnythingLLM elindítása (opcionális)
# Vagy GUI-ból, vagy service-ként
```

--------------------------------

### README és INSTALL Fájlok Megtekintése

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/Egyéb/Iszap2/AI Folyamatfigyelés-20260221T151407Z-1-001/AI Folyamatfigyelés/Claude code/Csabi ügynöke/START_HERE.md

További információkért és részletes útmutatásért tekintse meg a README_AUTOMATION.md és az INSTALL.md fájlokat. Ezek tartalmazzák a rendszer dokumentációját és telepítési utasításait.

```bash
cat README_AUTOMATION.md   # Részletes dokumentáció
cat INSTALL.md             # Telepítési útmutató
```

--------------------------------

### Start Script with PM2

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/_KNOWLEDGE_BASE/uj.md

Installs PM2 globally and starts the daily trigger script as a background process named 'Brunella-Harvester' for production deployment.

```bash
npm install -g pm2
pm2 start "npx ts-node scripts/daily_trigger.ts" --name "Brunella-Harvester"
```

--------------------------------

### Prepare Project Files

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/testing/hirszerzes_test_1/SETUP.md

Initialize the working directory and configure environment variables.

```bash
# Hozz létre egy working directory-t
mkdir ai-research-pipeline
cd ai-research-pipeline

# Másold be a fájlokat:
# - docker-compose.yml
# - .env.template
# - ai_research_pipeline.json
# - Python tool fájlok (*.py)

# Készítsd el a .env fájlt
cp .env.template .env
nano .env  # Töltsd ki az API key-eket!
```

--------------------------------

### Install and Run SQLite MCP Server

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/MCP_TOOL_PERMISSIONS_GUIDE.md

Commands for installing and running the SQLite MCP server. Installation is typically done via npm, and the server can be started automatically via `npm run dev` if configured.

```bash
# Telepítés
npx @modelcontextprotocol/server-sqlite --help

# Indítás (automatikus mcp_servers.json-ból)
npm run dev

```

--------------------------------

### Example Configuration File

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/src/dashboard/assets/documents/workflow.md

Minimal configuration structure for the application.

```json
{
  "workspaceRoot": "C:\\MyWorkspace",
  "webUiPort": 3000
}
```

--------------------------------

### Configure Environment Variables

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/Claude-nak/PAIOS 1.0 – Péter AI Operating System.md

Initialize the environment configuration file from the provided example.

```bash
cp .env.example .env
```

--------------------------------

### PDF Module Usage Guide Snippet

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/_KNOWLEDGE_BASE/1_reports_and_outputs/reports/worklow.md

A section from the PDF module's user guide, illustrating how to use the module with an example command. This documentation is generated to assist users.

```markdown
# PDF Modul Használati Útmutató

## 1. Cél
...

## 2. Használat
...

## 3. Példa parancs
qwen3-coder generate pdf-module --input=...
...

## 4. Hibakezelés
...
```

--------------------------------

### System Startup Command

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/src/orchestrator/systemPrompt/paios_orchestrator_prompt.md

Initializes the full system including Express, FastAPI, and the Dashboard.

```bash
start-full.bat                        # Teljes rendszer indítás (Express + FastAPI + Dashboard)
# Portok: Backend :3000, FastAPI :8000, Dashboard :5173
```

--------------------------------

### Verify Docker Installation

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/testing/hirszerzes_test_1/README_TELJES.md

Check the versions of Docker and Docker Compose before starting the deployment.

```bash
docker --version
docker-compose --version
```

--------------------------------

### Manual Project Startup Commands

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/_archive/reports/DASHBOARD_INTEGRATION_REPORT.md

Manual commands to build and start the server and CLI components of the project.

```bash
# Build
npm run build
npm run build:ui

# Szerver indítás
npm start

# Új terminálon - CLI
brunella chat
```

--------------------------------

### Start ADK Web with agents-chat Backend

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/myai/agents/GEMINI_ENTERPRISE_ALTERNATIVES.md

Commands to install dependencies and launch the ADK Web frontend connected to an existing agents-chat backend.

```powershell
# Backend már fut (agents-chat port 8501)
# Most elindítjuk az ADK Web frontend-et

$adkWebPath = (Get-Item -LiteralPath "G:\Brunella\[ACTIVE]_Agents\adk-a2a\adk-web").FullName
cd $adkWebPath

# Függőségek telepítése
npm install

# ADK Web indítása (backend: agents-chat)
npm run serve --backend=http://localhost:8501
```

--------------------------------

### Initialize and Run Brunella Agent System

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/2026-02-07-this-session-is-being-continued-from-a-previous-co.txt

Commands for starting the full system or performing a manual development setup for the TypeScript backend and Python subsystem.

```bash
# Full system start (Ollama + AnythingLLM + servers)
start.bat

# OR manual dev setup
npm install
npm run build       # TypeScript compile
npm run dev         # Backend (:3000)
npm run dev:ui      # Dashboard (:5173)

# Python subsystem
cd myai
.venv\Scripts\activate       # or: uv sync
uvicorn server:app --port 8000
```

--------------------------------

### Copy Configuration File Example

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/PAIOS_SUITE_README.md

Command to copy the example configuration file to create a new configuration file.

```bash
cp paios.config.yaml.example paios.config.yaml

```

--------------------------------

### CLI Help Example

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/konyvtarfa.md

These files contain help information for command-line interface commands.

```text
cli_help_107.txt
```

```text
cli_help_118.txt
```

```text
cli_help_120.txt
```

```text
cli_help_128.txt
```

```text
cli_help_137.txt
```

```text
cli_help_141.txt
```

```text
cli_help_178.txt
```

```text
cli_help_63.txt
```

--------------------------------

### Orchestrator Agent Commands

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/Egyéb/Iszap2/AI Folyamatfigyelés-20260221T151407Z-1-001/AI Folyamatfigyelés/Claude code/RENDSZERTERV.md

Example Python commands for interacting with the orchestrator agent, including starting agents, checking status, retrieving results, and scheduling tasks.

```python
orchestrator.start_agent("EKR")           # Egy ügynök indítása
orchestrator.start_all()                  # Minden ügynök
orchestrator.get_status()                 # Státusz lekérés
orchestrator.get_results(agent_id)        # Eredmények
orchestrator.schedule(agent, schedule)    # Ütemezés
```

--------------------------------

### Initialize Browser with URL

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/Claude-nak/computer.md

Initializes the browser and navigates to the specified URL. Defaults to headless mode.

```bash
/computeruse:init url="https://example.com"
```

--------------------------------

### Verification: List GitHub Models

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/2026-02-06-.txt

Example `curl` command to retrieve the list of available models from the GitHub Models API. It sends a GET request to the local server.

```bash
curl GET localhost:3000/api/github-models/models
```

--------------------------------

### System Startup Commands

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/tool-outputs/read_file_97.txt

Commands to initialize the full system or individual components.

```bash
# Teljes rendszer indítás (ajánlott - Windows)
start-full.bat

# VAGY manuálisan:
npm install && npm run build
npm run dev          # Backend (:3000)
npm run dev:ui       # Dashboard (:5173)

# Python alrendszer (FastAPI :8000)
cd myai
uv sync              # Függőségek telepítése
uvicorn server:app --reload --port 8000
```

--------------------------------

### Initialize Context Files

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/CLAUDE.md

Load these files in the specified order to establish the project context.

```text
1. .ai/BOOTSTRAP.md              # Projekt összefoglaló
2. conductor/tracks.md            # Aktív fejlesztések (mit csinálunk MOST)
3. .ai/FOSZAL.md                  # Mi történt legutóbb?
4. .ai/claude.md                  # Te mit csináltál legutóbb
```

--------------------------------

### Install NPM Dependencies

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/bas-cloudflare-orchestrator/GEMINI_CLI_INSTRUCTIONS.md

Installs project dependencies and verifies the installation by listing installed packages.

```powershell
Set-Location "C:\Projects\bas-cloudflare-orchestrator"

# Telepítsd a függőségeket
npm install

# Ellenőrizd a telepítést
if (Test-Path "node_modules") {
    Write-Host "✅ NPM csomagok telepítve" -ForegroundColor Green
    Write-Host "Telepített csomagok:" -ForegroundColor Cyan
    npm list --depth=0
} else {
    Write-Host "❌ NPM telepítés sikertelen" -ForegroundColor Red
}
```

--------------------------------

### Install Jules CLI

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/JULES_INTEGRATION.md

Commands to install the Jules CLI and verify the installation.

```bash
# Telepítés
npm install -g @google/jules

# Ellenőrzés
which jules  # Linux/Mac
where jules  # Windows
```

--------------------------------

### Python Subsystem Startup (FastAPI)

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/README.md

Steps to install dependencies and run the Python subsystem using FastAPI and Uvicorn.

```bash
# Python alrendszer (FastAPI :8000)
cd myai
uv sync              # Függőségek telepítése
uvicorn server:app --reload --port 8000
```

--------------------------------

### Development Mode Startup

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/README.md

Commands for setting up and running the application in development mode, including backend and UI.

```bash
# Development only
npm install && npm run build
npm run dev          # Backend (:3000)
npm run dev:ui       # Dashboard (:5173)
```

--------------------------------

### Install CrewAI and CrewAI-Tools

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/_KNOWLEDGE_BASE/2_knowledge_base/notes/Agent parancs pyton.txt

Use this command to install the 'crewai' and 'crewai-tools' Python packages. Ensure you have pip installed and configured.

```bash
pip install crewai crewai-tools
```

--------------------------------

### Quick Start Commands for MCP Integration

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/README.md

Commands to build, start the stable environment, test MCP tools, and access the dashboard.

```bash
# Stable control plane
npm run build:stable
npm run start:python:stable

# Kulon terminalban:
npm run start:stable

# Test MCP tools
curl http://localhost:3000/api/v1/mcp/tools | python -m json.tool

# View dashboard
# Stable dashboard: http://localhost:3000
# Dev dashboard only: npm run dev:ui -> http://localhost:5173
```

--------------------------------

### Build and Run Development Server

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/changelog/2026-02-16-agent-response-formatter.md

Use this command to build the project and start the development server for testing the new formatting.

```bash
npm run build && npm run dev
```

--------------------------------

### Start Robotkéz API Server

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/ROBOTKEZ_SETUP.md

Starts the FastAPI server for the Robotkéz API. Access the documentation at http://localhost:8000/docs after starting.

```powershell
# Enter the Python subsystem folder
cd F:\mcp-brunella-core\myai

# Start the FastAPI server with Robotkéz API
uvicorn server:app --reload --port 8000
```

--------------------------------

### Run agents-as-tools-conditional example

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/myai/agents/openai-agents-js/examples/agent-patterns/README.md

Enable language tools based on user preference. Run this example with pnpm.

```bash
pnpm examples:agents-as-tools-conditional
```

--------------------------------

### Install and Authenticate GitHub CLI

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/scripts/SYNC_README.md

Install the GitHub CLI using winget and then log in to your GitHub account. Refer to the official documentation for installation instructions.

```bash
# Telepítsd a GitHub CLI-t:
# https://cli.github.com/

# Windows: winget install GitHub.cli
winget install GitHub.cli

# Majd login:
gh auth login
```

--------------------------------

### Start MCP UI Dashboard

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/tool-outputs/session-855c0ab5-0cb8-4f90-a34e-ba1f64c8e5ad/read_file_read_file_1772040902252_0_otk7yn.txt

Command to start the user interface for the MCP Command Center. After starting, navigate to the shield icon in the sidebar to access the dashboard.

```bash
# View dashboard
npm run dev:ui
```

--------------------------------

### Start React Frontend

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/tool-outputs/read_file_168.txt

Change directory to the frontend path and execute the npm command to start the development server for the React application.

```bash
cd /path/to/brunella

npm run dev
```

--------------------------------

### Installation and Development

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/n8n-mcp-server/README.md

Instructions for installing and developing the n8n MCP Szerver.

```APIDOC
## Installation and Development

### Installation

To install the MCP Szerver, navigate to the project directory and run:

```bash
cd n8n-mcp-server
npm install
npm run build
```

### Development

For development purposes, you can use the following commands:

- **`npm run dev`**: Starts the server in TypeScript watch mode.
- **`npm run build`**: Compiles the TypeScript code into the `dist/` directory.

### Testing with MCP Inspector

To test the server using the MCP Inspector, run:

```bash
npm run inspector
```
```

--------------------------------

### Start Brunella Dashboard with Browser

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/USER_START.md

Launches the dashboard and critical local services, then opens the browser. Use this for dashboard-focused work.

```cmd
dashboard.bat
```

--------------------------------

### Install dependencies with pnpm

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/2026-02-07-this-session-is-being-continued-from-a-previous-co.txt

Run pnpm install to regenerate the lockfile.

```bash
cd /f/mcp-brunella-core && pnpm install
```

--------------------------------

### Install pnpm globally

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/2026-02-07-this-session-is-being-continued-from-a-previous-co.txt

Install a specific version of pnpm globally.

```bash
cd /f/mcp-brunella-core && npm install -g pnpm@8
```

--------------------------------

### Start Server and Run Tests

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/2026-02-06-this-session-is-being-continued-from-a-previous-co.txt

Commands to start the server and execute specific test levels.

```bash
uvicorn server:app --reload --port 8000
```

```bash
curl http://localhost:8000/health
```

```bash
cd F:\mcp-brunella-core
python scripts/robotkez_test_level1.py
```

```bash
python scripts/robotkez_test_level2_n8n.py
```

--------------------------------

### Example: Bulk Task with Jules API Client

Source: https://github.com/pohi99999/mcp-brunella-core/blob/main/docs/JULES_INTEGRATION.md

Illustrates listing Jules sources, creating a task via API, and initiating parallel tasks using the native CLI. Includes commands for watching individual sessions.

```bash
# 1. Sources listázás (melyik repo-hoz?)
python scripts/jules_api_client.py sources

# Output:
# 📦 Jules Sources (GitHub repos):
# 
#   sources/github/pohi99999/mcp-brunella-core
#     ID: github/pohi99999/mcp-brunella-core
#     Repo: pohi99999/mcp-brunella-core

# 2. Session létrehozás
python scripts/jules_api_client.py create "Add tests for all scripts/robotkez_*.py files"

# 3. Parallel task (ugyanaz a prompt, 3 session)
jules remote new --session "Add tests for all scripts/robotkez_*.py files" --parallel 3

# 4. Watch all (külön terminálban mindegyikhez)
python scripts/jules_api_client.py watch <session_id_1>
python scripts/jules_api_client.py watch <session_id_2>
python scripts/jules_api_client.py watch <session_id_3>
```