quantum-ai-sdk 0.7.0

Cosmic Duck SDK — 100+ AI endpoints across 10 providers

quantum-sdk

Python client SDK for the Quantum AI API.

pip install quantum-sdk

Quick Start

from quantum_sdk import Client

client = Client("qai_k_your_key_here")
response = client.chat("gemini-2.5-flash", "Hello! What is quantum computing?")
print(response.text)

Features

• 110+ endpoints across 10 AI providers and 45+ models
• Sync and async clients (Client and AsyncClient)
• Dataclass responses with full type hints
• Streaming via generators and async generators
• Agent orchestration with SSE event streams
• GPU/CPU compute rental
• Batch processing (50% discount)
• Python 3.10+

Examples

Chat Completion

from quantum_sdk import Client

client = Client("qai_k_your_key_here")

response = client.chat(
    model="claude-sonnet-4-6",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain decorators in Python"},
    ],
    temperature=0.7,
    max_tokens=1000,
)
print(response.text)

Streaming

for event in client.chat_stream(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "Write a haiku about Python"}],
):
    if event.delta_text:
        print(event.delta_text, end="", flush=True)

Async Client

from quantum_sdk import AsyncClient

async def main():
    client = AsyncClient("qai_k_your_key_here")
    response = await client.chat("gemini-2.5-flash", "Hello!")
    print(response.text)

    async for event in client.chat_stream(
        model="claude-sonnet-4-6",
        messages=[{"role": "user", "content": "Write a poem"}],
    ):
        if event.delta_text:
            print(event.delta_text, end="", flush=True)

Image Generation

images = client.generate_image("grok-imagine-image", "A cosmic duck in space")
for image in images.images:
    print(image.url or "base64")

Text-to-Speech

audio = client.speak("Welcome to Quantum AI!", voice="alloy", format="mp3")
print(audio.audio_url)

Web Search

results = client.web_search("latest Python releases 2026")
for result in results.results:
    print(f"{result.title}: {result.url}")

Agent Orchestration

for event in client.agent_run("Research quantum computing breakthroughs"):
    if event.type == "content_delta":
        print(event.content or "", end="")
    elif event.type == "done":
        print("\n--- Done ---")

All Endpoints

Category	Endpoints	Description
Chat	2	Text generation + session chat
Agent	2	Multi-step orchestration + missions
Images	2	Generation + editing
Video	7	Generation, studio, translation, avatars
Audio	13	TTS, STT, music, dialogue, dubbing, voice design
Voices	5	Clone, list, delete, library, design
Embeddings	1	Text embeddings
RAG	4	Vertex AI + SurrealDB search
Documents	3	Extract, chunk, process
Search	3	Web search, context, answers
Scanner	11	Code scanning, type queries, diffs
Scraper	2	Doc scraping + screenshots
Jobs	3	Async job management
Compute	7	GPU/CPU rental
Keys	3	API key management
Account	3	Balance, usage, summary
Credits	6	Packs, tiers, lifetime, purchase
Batch	4	50% discount batch processing
Realtime	3	Voice sessions
Models	2	Model list + pricing

Authentication

Pass your API key when creating the client:

client = Client("qai_k_your_key_here")

The SDK sends it as the X-API-Key header. Both qai_... (primary) and qai_k_... (scoped) keys are supported. You can also use Authorization: Bearer <key>.

Get your API key at cosmicduck.dev.

Pricing

See api.quantumencoding.ai/pricing for current rates.

The Lifetime tier offers 0% margin at-cost pricing via a one-time payment.

Other SDKs

All SDKs are at v0.4.0 with type parity verified by scanner.

Language	Package	Install
Rust	quantum-sdk	cargo add quantum-sdk
Go	quantum-sdk	go get github.com/quantum-encoding/quantum-sdk
TypeScript	@quantum-encoding/quantum-sdk	npm i @quantum-encoding/quantum-sdk
Python	quantum-sdk	pip install quantum-sdk
Swift	QuantumSDK	Swift Package Manager
Kotlin	quantum-sdk	Gradle dependency

MCP server: npx @quantum-encoding/ai-conductor-mcp

API Reference

• Interactive docs: api.quantumencoding.ai/docs
• OpenAPI spec: api.quantumencoding.ai/openapi.yaml
• LLM context: api.quantumencoding.ai/llms.txt

License

MIT