Function Management

AI agent instructions

STOP. Do not read past this section until you have read and followed /quickstart.md.Goal: produce a reliable SDK automation script. The intended authoring flow is generate then edit, not write browser automation from scratch.Do not hand-write SDK code with element IDs, selectors, or form fields from memory. Element IDs, selectors, and field mappings must come from a live observe() call, CLI notte page observe output, or generated workflow code. Guessed browser targets fail on real pages.Use the Notte skill and CLI to inspect the live site, validate actions/selectors, handle auth/session state, and export workflow code with notte sessions workflow-code before using SDK docs or SDK code.SDK reference pages are for understanding, running, or editing generated workflow code. They are not the starting point for manually authoring the initial browser automation. SDK-first code is guesswork on real-world pages with dynamic selectors, auth state, CAPTCHAs, and anti-bot behavior.

Manage the lifecycle of your Functions including updates, versioning, monitoring executions, and viewing replays.

Viewing Functions

List All Functions

View all deployed Functions:

list_functions.py

from notte_sdk import NotteClient

client = NotteClient()

# List all functions
functions = client.functions.list()

for func in functions.items:
    print(f"ID: {func.workflow_id}")
    print(f"Name: {func.name}")
    print(f"Version: {func.latest_version}")
    print(f"Created: {func.created_at}")
    print("---")

Get Function Details

Retrieve specific Function information:

get_function_details.py

from notte_sdk import NotteClient

client = NotteClient()

# Get function by ID
function = client.Function(function_id="func_abc123")

# Access function properties
print(f"Function ID: {function.function_id}")
print(f"Name: {function.response.name}")
print(f"Description: {function.response.description}")
print(f"Latest Version: {function.response.latest_version}")
print(f"Versions: {function.response.versions}")

Updating Functions

Update Function Code

Deploy a new version of your Function:

update_code.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(function_id="func_abc123")

# Update with new code
function.update(path="updated_function.py")

print(f"Updated to version: {function.response.latest_version}")

Update Function Metadata

Change Function name or description:

# Update metadata (via console or API)
# Name and description updates are available through the Console

Note: Function updates create new versions automatically. Previous versions remain accessible for rollback.

Versioning

Version Management

Functions automatically version on each update:

version_management.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(function_id="func_abc123")

# Get all versions
print(f"Available versions: {function.response.versions}")

# Get latest version
print(f"Latest: {function.response.latest_version}")

Run Specific Version

Execute a specific Function version:

run_specific_version.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(function_id="func_abc123")

# Run latest version (default)
result = function.run(url="https://example.com")

# Run specific version
result = function.run(url="https://example.com", version="v2")

Version History

Track changes across versions:

version_history.py

from notte_sdk import NotteClient

client = NotteClient()

functions = client.functions.list()

for func in functions.items:
    print(f"Function: {func.name}")
    print(f"Versions: {', '.join(func.versions)}")
    print(f"Latest: {func.latest_version}")

Monitoring Executions

View Run History

List recent Function executions:

view_run_history.py

from notte_sdk import NotteClient

client = NotteClient()

# Get recent runs
runs = client.functions.list_runs(
    function_id="function_abc123",
    only_active=False,  # Include completed runs
)

for run in runs.items:
    print(f"Run ID: {run.workflow_run_id}")
    print(f"Status: {run.status}")
    print(f"Created: {run.created_at}")
    print(f"Updated: {run.updated_at}")
    print("---")

Check Run Status

Monitor specific execution:

check_run_status.py

from notte_sdk import NotteClient

client = NotteClient()

# Get run details
run_status = client.functions.get_run("function_abc123", "run_xyz789")

print(f"Status: {run_status.status}")  # "active", "closed", "failed"
print(f"Result: {run_status.result}")
print(f"Session ID: {run_status.session_id}")

Status values:

active - Function is currently running
closed - Function completed successfully
failed - Function encountered an error

Filter Active Runs

View only running executions:

filter_active_runs.py

from notte_sdk import NotteClient

client = NotteClient()

# Get only active runs
active_runs = client.functions.list_runs("function_abc123", only_active=True)

print(f"Active runs: {len(active_runs.items)}")

for run in active_runs.items:
    print(f"Run {run.workflow_run_id} - {run.status}")

Viewing Replays

Access Function Replay

Watch MP4 replay of Function execution:

access_replay.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(function_id="func_abc123")

# Run the function first
result = function.run(url="https://example.com")

# Get replay for this run (uses the session from the last run)
replay = function.replay()

# Download the replay
replay.download("function_replay.mp4")

Replay features:

Video recording of browser session
Shows all actions taken
Useful for debugging failures
Available after running a function

Replay After Run

Get replay immediately after execution:

replay_after_run.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(function_id="func_abc123")

# Run function
result = function.run(url="https://example.com")

# Get replay for this run (automatically uses the session from the run)
replay = function.replay()

# Download the video
replay.download("execution_replay.mp4")

Managing Runs

Stop Running Function

Cancel a long-running execution:

stop_running.py

from notte_sdk import NotteClient

client = NotteClient()

# Stop specific run
client.functions.stop_run("function_abc123", "run_xyz789")

print("Function execution stopped")

Monitoring Long Runs

Track execution progress:

monitor_runs.py

import time

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(function_id="func_abc123")

# Start run
result = function.run(
    url="https://example.com",
    stream=False,  # Don't stream logs
)

run_id = result.workflow_run_id

# Poll status
while True:
    status = client.functions.get_run("func_abc123", run_id)

    print(f"Status: {status.status}")

    if status.status in ["closed", "failed"]:
        print(f"Final result: {status.result}")
        break

    time.sleep(5)  # Check every 5 seconds

Forking Functions

Fork Shared Function

Create your own copy of a shared Function:

fork_function.py

from notte_sdk import NotteClient

client = NotteClient()

# Fork a function from marketplace or teammate
original = client.Function(function_id="func_abc123")
forked_function = original.fork()

print(f"Forked function ID: {forked_function.function_id}")
print("Original ID: func_abc123")

Use cases:

Customize shared Functions
Create templates from marketplace
Copy teammate’s Functions
Experiment without affecting original

Modify Forked Function

After forking, update as needed:

modify_forked.py

from notte_sdk import NotteClient

client = NotteClient()

# Fork function
original = client.Function(function_id="shared_function_id")
forked = original.fork()

# Update your copy
forked.update(path="my_modified_version.py")

# Run your version
result = forked.run(url="https://example.com")

Downloading Functions

Download Function Code

Retrieve Function source code:

download_code.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(
    function_id="func_abc123",
    decryption_key="your-decryption-key",  # Required for downloading
)

# Download function code
code = function.download()

print(code)  # Function source code

# Or download directly to a file
code = function.download(path="downloaded_function.py")

Requirements:

Decryption key (available in Console) - passed when creating Function instance
Only works for Functions you own or have access to

Download for Backup

Back up all your Functions:

backup_functions.py

import os

from notte_sdk import NotteClient

client = NotteClient()

functions = client.functions.list()

# Create backup directory
os.makedirs("function_backups", exist_ok=True)

for func in functions.items:
    function = client.Function(function_id=func.workflow_id, decryption_key="your-key")

    try:
        code = function.download()

        filename = f"function_backups/{func.name}_{func.latest_version}.py"
        with open(filename, "w") as f:
            f.write(code)

        print(f"Backed up: {func.name}")
    except Exception as e:
        print(f"Failed to backup {func.name}: {e}")

Deleting Functions

Delete Function

Remove a Function permanently:

delete_function.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(function_id="func_abc123")

# Delete function
function.delete()

print("Function deleted")

Warning:

Deletion is permanent
All versions are deleted
Run history is preserved
Cannot be undone

Make Function Public

Share Functions with others:

make_public.py

from notte_sdk import NotteClient

client = NotteClient()

# Deploy as shared
function = client.Function(
    path="my_function.py",
    name="Public Scraper",
    shared=True,  # Make publicly accessible
)

Shared Functions:

✅ Others can view and fork
✅ Original remains under your control
❌ Others cannot modify your version
✅ Usage tracked to your account

Private Functions

Keep Functions private (default):

private_function.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(
    path="my_function.py",
    name="Private Automation",
    shared=False,  # Private (default)
)

Best Practices

1. Version Your Functions

Update incrementally with clear changes:

version_backup.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(function_id="func_abc123")

# Before major update, download current version
current_code = function.download(decryption_key="key")

# Save backup
with open(f"backups/function_v{function.response.latest_version}.py", "w") as f:
    f.write(current_code)

# Update function
function.update(path="new_version.py")

2. Monitor Function Health

Regular health checks:

function_health_check.py

from notte_sdk import NotteClient

client = NotteClient()


def check_function_health(function_id: str):
    """Check recent run success rate."""
    runs = client.functions.list_runs(function_id, only_active=False)

    total = len(runs.items)
    failed = sum(1 for r in runs.items if r.status == "failed")

    success_rate = ((total - failed) / total * 100) if total > 0 else 0

    print(f"Success rate: {success_rate:.1f}%")
    print(f"Total runs: {total}")
    print(f"Failed runs: {failed}")

    return success_rate


# Monitor function
check_function_health("func_abc123")

3. Clean Up Old Runs

Archive or analyze old execution data:

cleanup_old_runs.py

import json
from datetime import datetime, timedelta

from notte_sdk import NotteClient

client = NotteClient()


def archive_old_runs(function_id: str, days_old: int = 30):
    """Archive runs older than specified days."""
    runs = client.functions.list_runs(function_id, only_active=False)

    cutoff_date = datetime.now() - timedelta(days=days_old)
    archive = []

    for run in runs.items:
        if run.created_at < cutoff_date:
            archive.append(
                {
                    "run_id": run.workflow_run_id,
                    "status": run.status,
                    "created_at": run.created_at.isoformat(),
                    "result": str(run.result)[:100],  # First 100 chars
                }
            )

    # Save archive
    with open(f"archives/{function_id}_{datetime.now().date()}.json", "w") as f:
        json.dump(archive, f, indent=2)

    print(f"Archived {len(archive)} old runs")


archive_old_runs("function_abc123")

4. Document Changes

Keep change log for Function updates:

document_changes.py

"""
Function: Data Scraper
Function ID: func_abc123

Version History:
- v1 (2024-01-15): Initial release
- v2 (2024-01-20): Added error handling
- v3 (2024-01-25): Improved scraping accuracy
- v4 (2024-02-01): Added retry logic
"""


def run(url: str):
    # Your function code
    pass

5. Test Before Production

Validate updates before deploying:

test_before_prod.py

from notte_sdk import NotteClient


def validate_before_production():
    client = NotteClient()

    # Test locally first - decryption key needed for local execution
    function = client.Function(function_id="func_abc123", decryption_key="your-key")

    # Run with local=True for testing
    test_result = function.run(url="https://test-site.com", local=True)

    if test_result.status == "closed":
        print("Test passed, ready to update production")
        function.update(path="tested_function.py")
    else:
        print(f"Test failed: {test_result.result}")

Troubleshooting

Function Fails to Run

Check run details for errors:

troubleshoot_fails.py

from notte_sdk import NotteClient

client = NotteClient()

function = client.Function(function_id="func_abc123")

run = client.functions.get_run("func_abc123", "run_xyz789")

if run.status == "failed":
    print(f"Error: {run.result}")

    # Run the function to get a replay
    result = function.run()
    replay = function.replay()
    replay.download("debug_replay.mp4")

Missing Environment Variables

Verify configuration:

missing_env_vars.py

import os

def run():
    required_vars = ["API_KEY", "WEBHOOK_URL"]

    missing = [var for var in required_vars if not os.getenv(var)]

    if missing:
        return {"error": f"Missing environment variables: {', '.join(missing)}"}

    # Continue with automation

High Failure Rate

Analyze failure patterns:

high_failure_rate.py

from notte_sdk import NotteClient

client = NotteClient()

runs = client.functions.list_runs("function_abc123")

failures = [r for r in runs.items if r.status == "failed"]

print(f"Failed runs: {len(failures)}/{len(runs.items)}")

# Analyze failure reasons
for run in failures[:5]:  # Last 5 failures
    print(f"Run {run.workflow_run_id}:")
    print(f"  Error: {run.result}")
    print(f"  Time: {run.created_at}")

Next Steps

Creating Functions

Learn how to write Functions

Invocations

Call Functions via API or SDK

Schedules

Schedule Functions with cron

Functions Concept

Back to Functions overview

​Viewing Functions

​List All Functions

​Get Function Details

​Updating Functions

​Update Function Code

​Update Function Metadata

​Versioning

​Version Management

​Run Specific Version

​Version History

​Monitoring Executions

​View Run History

​Check Run Status

​Filter Active Runs

​Viewing Replays

​Access Function Replay

​Replay After Run

​Managing Runs

​Stop Running Function

​Monitoring Long Runs

​Forking Functions

​Fork Shared Function

​Modify Forked Function

​Downloading Functions

​Download Function Code

​Download for Backup

​Deleting Functions

​Delete Function

​Sharing Functions

​Make Function Public

​Private Functions

​Best Practices

​1. Version Your Functions

​2. Monitor Function Health

​3. Clean Up Old Runs

​4. Document Changes

​5. Test Before Production

​Troubleshooting

​Function Fails to Run

​Missing Environment Variables

​High Failure Rate

​Next Steps