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Python client for the Presentations.AI REST API. Create, transform, and manage presentations programmatically.

Project description

presentations-ai

Python client for the Presentations.AI REST API. Create, transform, and manage presentations programmatically.

PyPI version Python versions License

Installation

pip install presentations-ai

For Claude-powered presentation creation:

pip install presentations-ai[cloudy]

Quick start

from presentations_ai import PresentationsAI

client = PresentationsAI(api_key="pai_...")

result = client.create_from_topic(
    topic="Series B Pitch: AI-Powered Design Platform",
    export_type="pptx",
    slide_count=12,
)

print(result.docurl)  # https://app.presentations.ai/view/...

Async support

from presentations_ai import AsyncPresentationsAI

async with AsyncPresentationsAI(api_key="pai_...") as client:
    result = await client.create_from_topic(
        topic="Q4 Product Roadmap",
        export_type="pptx",
    )

API methods

Method Description
create_from_topic() Generate a presentation from a topic description
create_from_file() Convert a file (PDF, DOCX, PPTX) into a presentation
create_single_slide() Generate a single slide
create_from_content() Build from structured slide content (title + body per slide)
create_from_raw_content() Transform raw text into slides
update_slides() Update slides in an existing presentation
check_job_status() Check the status of an async job

Cloudy runtime (Claude + MCP)

Create presentations with natural language using Claude:

from presentations_ai.cloudy import CloudyRuntime

cloudy = CloudyRuntime(anthropic_api_key="sk-ant-...")

response = cloudy.chat(
    "Create a 12-slide investor pitch deck for an AI-powered design platform",
    presentations_api_key="pai_...",
)

print(response.text)              # Claude's natural language response
print(response.presentation_url)  # https://app.presentations.ai/view/...

Configuration

client = PresentationsAI(
    api_key="pai_...",             # or set PRESENTATIONS_AI_API_KEY env var
    base_url="...",                # default: https://developers.presentations.ai
    timeout_ms=60_000,             # default: 60 seconds
    max_retries=3,                 # default: 3 retries with exponential backoff
)

Error handling

from presentations_ai import PresentationsAI, AuthenticationError, RateLimitError

try:
    result = client.create_from_topic(topic="...", export_type="pptx")
except AuthenticationError as e:
    print(e.code)         # "API_UNAUTHORIZED"
    print(e.remediation)  # "Verify your API key..."
except RateLimitError:
    print("Too many requests, wait and retry")

Polling async jobs

from presentations_ai import PresentationsAI, poll_until_complete

client = PresentationsAI(api_key="pai_...")
job = client.create_from_topic(topic="...", export_type="pptx")

if hasattr(job, "job_id"):
    result = poll_until_complete(client, job.job_id)
    print(result.docurl)

Requirements

License

MIT

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