cmdop 0.1.31

Python SDK for CMDOP agent interaction

cmdop

Python SDK for CMDOP browser automation and server control.

Architecture

Your Code ──── Cloud Relay ──── Agent (on server)
                    │
        Outbound only, works through any NAT/firewall

Install

pip install cmdop

Connection

from cmdop import CMDOPClient, AsyncCMDOPClient

# Local (direct IPC to running agent)
client = CMDOPClient.local()

# Remote (via cloud relay)
client = CMDOPClient.remote(api_key="cmd_xxx")

# Async
async with AsyncCMDOPClient.local() as client:
    await client.files.read("/etc/hostname")

Browser

from cmdop.services.browser.models import WaitUntil

with client.browser.create_session(headless=False) as s:
    s.navigate("https://shop.com", wait_until=WaitUntil.NETWORKIDLE)

    # Core methods
    s.click("button.buy", move_cursor=True)
    s.type("input[name=q]", "search term")
    s.wait_for(".results")
    s.execute_script("return document.title")
    s.screenshot()
    s.get_state()        # URL + title
    s.get_page_info()    # Full page info
    s.get_cookies()
    s.set_cookies([...])

# Fast mode: block images and media for faster page loads
with client.browser.create_session(
    block_images=True,
    block_media=True,
) as s:
    s.navigate("https://shop.com/catalog")
    items = s.dom.extract(".product-title")

create_session parameters:

Parameter	Default	Description
start_url	None	Initial URL to navigate to
provider	"camoufox"	Browser provider ("camoufox" or "rod")
profile_id	None	Profile ID for session persistence (cookies, localStorage)
headless	False	Run browser without UI
width	1280	Viewport width
height	800	Viewport height
block_images	False	Disable loading images (set at launch, cannot change at runtime)
block_media	False	Disable loading audio/video (set at launch, cannot change at runtime)

WaitUntil options:

Value	Description
LOAD	Wait for load event (default)
DOMCONTENTLOADED	Wait for DOMContentLoaded
NETWORKIDLE	Wait until network is idle (best for SPA)
COMMIT	Return immediately (fastest)

Capabilities

s.scroll - Scrolling

s.scroll.js("down", 500)           # JS scroll (works on complex sites)
s.scroll.native("down", 500)       # Browser API scroll
s.scroll.to_bottom()               # Scroll to page bottom
s.scroll.to_element(".item")       # Scroll element into view
s.scroll.info()                    # Get scroll position/dimensions

# Smart infinite scroll with extraction
items = s.scroll.infinite(
    extract_fn=lambda: extract_new_items(),
    limit=100,
    max_scrolls=50,
    scroll_amount=800,
)

s.input - Input

s.input.click_js(".btn")           # JS click (reliable)
s.input.click_all("See more")      # Click all matching elements
s.input.key("Escape")              # Press key
s.input.key("Enter", ".input")     # Press key on element
s.input.hover(".tooltip")          # Native hover
s.input.hover_js(".tooltip")       # JS hover
s.input.mouse_move(500, 300)       # Move cursor to coordinates

s.timing - Delays

s.timing.wait(500)                 # Wait ms
s.timing.seconds(2)                # Wait seconds
s.timing.random(0.5, 1.5)          # Random delay
s.timing.timeout(fn, 10, cleanup)  # Run with timeout

s.dom - DOM operations

s.dom.html(".container")           # Get HTML
s.dom.text(".title")               # Get text
s.dom.extract(".items", "href")    # Get attr list
s.dom.select("#country", "US")     # Dropdown select
s.dom.close_modal()                # Close dialogs/popups

s.fetch - HTTP from browser (bypass CORS, inherit cookies)

s.fetch.json("/api/items")               # Fetch JSON
s.fetch.all(["/api/a", "/api/b"])        # Parallel fetch
s.fetch.execute("return fetch(...)")     # Custom JS

s.network - Traffic capture

s.network.enable(max_exchanges=1000)
s.navigate(url)

# Get exchanges
exchanges = s.network.get_all()
api = s.network.last("/api/data")
data = api.json_body()

# Filter
posts = s.network.filter(
    url_pattern="/api/posts",
    methods=["GET", "POST"],
    status_codes=[200],
    resource_types=["xhr", "fetch"],
)

# Convenience
s.network.api_calls("/api/")       # XHR/Fetch matching pattern
s.network.last_json("/api/data")   # JSON body directly
s.network.wait_for("/api/", 5000)  # Wait for request
s.network.export_har()             # Export to HAR
s.network.stats()                  # Capture statistics
s.network.clear()                  # Clear captured
s.network.disable()

s.visual - Browser overlay (requires CMDOP extension)

s.visual.toast("Loading...")           # Show toast
s.visual.clear_toasts()                # Clear all toasts
s.visual.countdown(30, "Click!")       # Countdown timer
s.visual.highlight(".element")         # Highlight element
s.visual.hide_highlight()              # Hide highlight
s.visual.click(100, 200)               # Show click effect
s.visual.move(0, 0, 100, 200)          # Show cursor trail
s.visual.set_state("busy")             # idle/active/busy

NetworkAnalyzer

Discover API endpoints by capturing traffic while user interacts.

from cmdop import CMDOPClient
from cmdop.helpers import NetworkAnalyzer

client = CMDOPClient.local()
with client.browser.create_session(headless=False) as b:
    analyzer = NetworkAnalyzer(b)

    snapshot = analyzer.capture(
        "https://example.com/cars",
        wait_seconds=30,
        countdown_message="Click pagination!",
        min_size=100,       # Ignore tracking pixels
        max_size=500_000,   # Ignore heavy assets
        same_origin=True,   # Only same domain
    )

    # Get best data API
    if snapshot.api_requests:
        best = snapshot.best_api()
        print(best.url)
        print(best.item_count)
        print(best.data_key)        # "data", "items", etc.
        print(best.item_fields)     # Field names
        print(best.to_curl())       # curl command
        print(best.to_httpx())      # Python httpx code

    # All captured
    for req in snapshot.api_requests:
        print(f"{req.method} {req.url} → {req.item_count} items")

NetworkSnapshot:

• api_requests - Requests with data arrays
• json_requests - Other JSON responses
• cookies - Session cookies
• total_requests, total_bytes

RequestSnapshot:

• url, method, headers, body, cookies
• status, content_type, size
• data_key, item_count, item_fields, sample_response
• to_curl(), to_httpx()

Agent

Run AI tasks with typed output:

from pydantic import BaseModel

class Health(BaseModel):
    status: str
    cpu: float
    issues: list[str]

result = client.agent.run("Check server health", output_schema=Health)
health: Health = result.output  # Typed!

Terminal

session = client.terminal.create()
client.terminal.send_input(session.session_id, "ls -la\n")
output = client.terminal.get_history(session.session_id)
client.terminal.resize(session.session_id, 120, 40)
client.terminal.send_signal(session.session_id, "SIGINT")
client.terminal.close(session.session_id)

Files

# Local IPC - session_id not required
client.files.list("/var/log")
client.files.read("/etc/nginx/nginx.conf")
client.files.write("/tmp/config.json", b'{"key": "value"}')

# Remote - session_id required
session = client.terminal.get_active_session()
client.files.set_session_id(session.session_id)  # Set once
client.files.list("/var/log")
client.files.read("/etc/nginx/nginx.conf")

# Or pass session_id directly to each call
client.files.list("/var/log", session_id=session.session_id)

Files methods:

client.files.list("/path", include_hidden=True)  # List directory
client.files.read("/path/file.txt")              # Read file
client.files.write("/path/file.txt", b"data")    # Write file
client.files.delete("/path", recursive=True)     # Delete file/dir
client.files.copy("/src", "/dst")                # Copy
client.files.move("/old", "/new")                # Move/rename
client.files.mkdir("/new/dir")                   # Create directory
client.files.info("/path")                       # Get file info

SDKBaseModel

Auto-cleaning Pydantic model:

from cmdop import SDKBaseModel

class Product(SDKBaseModel):
    __base_url__ = "https://shop.com"
    name: str = ""    # "  iPhone 15  \n" → "iPhone 15"
    price: int = 0    # "$1,299.00" → 1299
    rating: float = 0 # "4.5 stars" → 4.5
    url: str = ""     # "/p/123" → "https://shop.com/p/123"

products = Product.from_list(raw["items"])  # Auto dedupe + filter

Download

Download files from URLs via remote server with chunked transfer.

Handles cloud relay limits (~30MB per session) automatically:

• Small files (≤10MB): Direct chunked transfer
• Large files (>10MB): Split on remote, download parts with reconnection

from pathlib import Path

# Async (recommended) - handles large files
async with AsyncCMDOPClient.remote(api_key="cmd_xxx") as client:
    client.download.configure(api_key="cmd_xxx")  # Required for files >10MB

    result = await client.download.url(
        url="https://example.com/large-file.zip",
        local_path=Path("./large-file.zip"),
    )

    if result.success:
        print(result)  # DownloadResult(ok, 139.2MB, 245.3s, 0.6MB/s)
        print(result.metrics.summary())
        # Size: 139.2 MB (145,981,234 bytes)
        # Total: 245.3s @ 0.6 MB/s
        #   └─ Curl: 12.1s
        #   └─ Transfer: 233.2s @ 0.6 MB/s
        # Parts: 28
        # Chunks: 140
    else:
        print(f"Failed: {result.error}")

# Sync - for small files only
result = client.download.url(
    url="https://example.com/small.csv",
    local_path=Path("./small.csv"),
)

# With progress callback
def on_progress(transferred: int, total: int) -> None:
    pct = (transferred / total) * 100
    print(f"\r{pct:.1f}%", end="", flush=True)

result = await client.download.url(url, local_path, on_progress=on_progress)

# Configure
client.download.configure(
    chunk_size=2 * 1024 * 1024,  # 2MB chunks (default: 1MB)
    download_timeout=600,        # 10 min (default: 5 min)
    api_key="cmd_xxx",           # Required for files >10MB
)

DownloadResult fields:

Field	Type	Description
success	bool	Whether download succeeded
local_path	Path	Path to downloaded file
size	int	Downloaded size in bytes
error	str	Error message if failed
metrics	DownloadMetrics	Timing and transfer stats

DownloadMetrics fields:

Field	Type	Description
total_time	float	Total time in seconds
curl_time	float	Remote curl time
transfer_time	float	File transfer time
remote_size	int	Size on remote
transferred_size	int	Bytes transferred
chunks_count	int	Number of chunks
parts_count	int	Split parts (large files)
retries_count	int	Retry attempts
transfer_speed_mbps	float	Transfer speed MB/s
total_speed_mbps	float	Overall speed MB/s

Logging

from cmdop import get_logger

log = get_logger(__name__)
log.info("Starting")  # Rich console + file output

Requirements

• Python 3.10+
• CMDOP agent running locally or API key for remote