Framework Integrations

pip install quantumflow-sdk openai

from openai import OpenAI
from quantumflow.integrations.openai_functions import (
    get_quantum_tools,
    execute_quantum_function,
)
import json

client = OpenAI()

# Chat with quantum capabilities
response = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "user", "content": "Compress these tokens: 100, 200, 150, 175"}
    ],
    tools=get_quantum_tools(),
    tool_choice="auto",
)

# Execute the function call
if response.choices[0].message.tool_calls:
    tool_call = response.choices[0].message.tool_calls[0]
    result = execute_quantum_function(
        tool_call.function.name,
        json.loads(tool_call.function.arguments)
    )
    print(result)

from openai import OpenAI
from quantumflow.integrations.openai_functions import QuantumAssistant

# Initialize OpenAI client
client = OpenAI()

# Create quantum-enabled assistant
assistant = QuantumAssistant(client, model="gpt-4")

# Chat naturally - assistant handles function calls automatically
response = assistant.chat(
    "I have token values [100, 200, 150, 175, 225, 180]. "
    "Can you compress them and tell me the compression ratio?"
)
print(response)

# Follow-up conversation
response = assistant.chat(
    "Now perform a QKD key exchange with 256-bit key length"
)
print(response)

# Reset conversation if needed
assistant.reset()