The Researcher's Guide to Synaptiq

This guide will help you get started with the Synaptiq API for scientific research and applications.

1. Create an API Key

To use the Synaptiq API, you'll need to create an API key. This key authenticates your requests and tracks your usage.

2. Choose a Model

Synaptiq offers several models optimized for different scientific tasks. The main models available through the API are:

3. Make Your First API Call

You can interact with the Synaptiq API using the OpenAI SDK or direct REST API calls. Here's an example using the Python SDK:

from openai import OpenAI

client = OpenAI(
    api_key=SYNAPTIQ_API_KEY,
    base_url="https://api.synaptiq.contact/v1",
)

completion = client.chat.completions.create(
    model="synaptiq-2",
    messages=[
        {"role": "user", "content": "Explain the double-slit experiment in quantum mechanics"}
    ]
)

print(completion.choices[0].message.content)

4. Understand Response Formats

Synaptiq can return responses in various formats, including plain text, LaTeX for mathematical expressions, and structured data for visualizations.

LaTeX for Mathematical Expressions

Request LaTeX formatting for mathematical expressions by specifying it in your prompt:

"Derive the Schrödinger equation and format all mathematics using LaTeX"

Structured Data for Visualizations

Request structured data for visualizations by specifying the format in your prompt:

"Simulate a quantum harmonic oscillator and provide the data in JSON format for visualization"

5. Explore Advanced Features

Synaptiq offers several advanced features for scientific research:

• Quantum Simulations: Run complex quantum physics simulations with visualization support
• Mathematical Derivations: Generate step-by-step mathematical proofs and derivations
• Literature Analysis: Extract insights from scientific papers and research
• Data Visualization: Create publication-ready visualizations of scientific data