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Overview

InternTA provides a chat completions API that allows you to integrate our synthetic biology teaching assistant capabilities into your applications. The API follows a similar style to other popular chat completion APIs, making it familiar for developers.
InternTA is specifically trained on synthetic biology content and is optimized for educational interactions in this domain.

Base URL

Authentication

All API requests require authentication using Bearer tokens.
Keep your API tokens secure and never expose them in client-side code.

Response Format

All responses follow a standard format:

Features

Synthetic Biology Expertise

Specialized knowledge from textbooks and academic materials

Educational Guidance

Provides hints and explanations rather than direct answers

Cross-disciplinary Context

Integrates biology, chemistry, and engineering concepts

Interactive Learning

Supports multi-turn educational dialogues

Model Details

The API is powered by a fine-tuned version of DeepSeekR1, specifically trained on:
  • Post-class thought questions
  • Key terms and definitions
  • Fundamental concept knowledge
  • Guided learning interactions
Our model is trained on carefully curated content from:
  • Synthetic Biology textbooks
  • Academic materials
  • Expert-reviewed Q&A pairs
  • Guided learning scenarios

Rate Limits

Please contact us for custom rate limits and enterprise usage.

Example Usage

Basic Request

With System Message

Support

If you need assistance with the API:
  1. Review the API Documentation
  2. Check our GitHub repository
  3. Contact our support team at dev@kongfoo.cn

Ready to get started?

Check out our quickstart guide to begin integrating InternTA