nblm 0.2.2

Python bindings for NotebookLM Enterprise API client

nblm - Python SDK for NotebookLM Enterprise API

Python bindings for the NotebookLM Enterprise API, powered by Rust via PyO3.

Warning: This project is not affiliated with, sponsored, or endorsed by Google. nblm-rs is an independent, unofficial tool. It is provided "as is" without any warranty.

Installation

pip install nblm

Or with uv:

uv add nblm

Requirements: Python 3.14 or later

Quick Start

from nblm import NblmClient, GCloudTokenProvider

# Initialize client
client = NblmClient(
    token_provider=GCloudTokenProvider(),
    project_number="123456789012"
)

# Create a notebook
notebook = client.create_notebook("My Notebook")
print(f"Created: {notebook.title}")

# Add sources
from nblm import WebSource

client.add_sources(
    notebook_id=notebook.notebook_id,
    web_sources=[WebSource(url="https://example.com", name="Example")]
)

# Create audio overview
audio = client.create_audio_overview(notebook.notebook_id)
print(f"Audio status: {audio.status}")

Features

• Notebooks: Create, list, and delete notebooks
• Sources: Add web, text, video sources; upload files; manage sources
• Audio Overviews: Create podcast-style discussions from notebook content
• Type Safety: Full type hints for IDE autocomplete and static analysis
• Fast: Powered by Rust for high performance

Authentication

gcloud CLI (Recommended)

from nblm import NblmClient, GCloudTokenProvider

client = NblmClient(
    token_provider=GCloudTokenProvider(),
    project_number="123456789012"
)

Environment Variable

import os
from nblm import NblmClient, EnvTokenProvider

os.environ["NBLM_ACCESS_TOKEN"] = "your-access-token"

client = NblmClient(
    token_provider=EnvTokenProvider(),
    project_number="123456789012"
)

Documentation

Complete Python SDK documentation:

• Getting Started Guide
• Quickstart Tutorial
• API Reference
• Notebooks API
• Sources API
• Audio API
• Error Handling

Examples

Create Notebook and Add Sources

from nblm import NblmClient, GCloudTokenProvider, WebSource, TextSource

client = NblmClient(
    token_provider=GCloudTokenProvider(),
    project_number="123456789012"
)

# Create notebook
notebook = client.create_notebook("Research: Python Best Practices")

# Add sources
client.add_sources(
    notebook_id=notebook.notebook_id,
    web_sources=[
        WebSource(url="https://peps.python.org/pep-0008/", name="PEP 8"),
        WebSource(url="https://docs.python-guide.org/")
    ],
    text_sources=[
        TextSource(content="Focus on code quality", name="Notes")
    ]
)

Upload Files

# Upload a PDF
response = client.upload_source_file(
    notebook_id=notebook.notebook_id,
    path="/path/to/document.pdf",
    display_name="Research Paper"
)
print(f"Uploaded: {response.source_id}")

Error Handling

from nblm import NblmError

try:
    notebook = client.create_notebook("My Notebook")
except NblmError as e:
    print(f"Error: {e}")

Type Hints

The library includes full type hints:

from nblm import (
    NblmClient,
    Notebook,
    NotebookSource,
    AudioOverviewResponse,
    WebSource,
    TextSource,
    VideoSource,
)

# All operations are fully typed
client: NblmClient
notebook: Notebook = client.create_notebook("Title")
audio: AudioOverviewResponse = client.create_audio_overview("abc123")

Supported Operations

Category	Operations	Status
Notebooks	Create, list, delete	Available
Sources	Add (web, text, video), upload files, get, delete	Available
Audio Overview	Create, delete	Available
Sharing	Share with users	Not available

Links

• GitHub Repository
• Full Documentation
• CLI Tool
• Issue Tracker

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

MIT