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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/',
apiKey: '',
});
const main = async () => {
const assistant = await api.beta.assistants.create({
model: 'gpt-4o',
name: 'My assistant',
instructions: 'You are a helpful assistant.',
description: 'This is my assistant.',
});
console.log(`Assistant: ${JSON.stringify(assistant, null, 2)}`);
};
main();
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/",
api_key="",
)
assistant = client.beta.assistants.create(
model="gpt-4o",
name="My Assistant",
instructions="You are a helpful assistant.",
description="This is my assistant."
)
print(f"Assistant: {assistant}")
-
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Product Detail
Overview: Elevate Your Applications with OpenAI Assistants API
The OpenAI Assistants API offers a robust framework for developers to seamlessly integrate advanced AI assistant capabilities into their applications. These powerful assistants are fully customizable, allowing for precise instruction-setting and access to a suite of sophisticated tools. From interpreting complex code to searching through extensive file repositories, the Assistants API empowers your applications to perform intricate tasks with remarkable efficiency and intelligence.
✨ Key Features of OpenAI Assistants API
- ✅ Customizable Assistants: Developers can craft bespoke AI assistants, each with unique instructions and specialized functionalities, perfectly tailored to specific application needs.
- ✅ Advanced Tool Integration: Support for essential tools like code interpretation and file search significantly expands the assistant's problem-solving capabilities, enabling it to handle diverse data types and logical operations.
- ✅ Persistent Threads: The API ingeniously maintains conversation history, simplifying context management across multiple interactions and ensuring coherent, continuous user experiences.
- ✅ Robust File Handling: Assistants can efficiently access, process, and generate files in various formats, serving as inputs for analysis or outputs for detailed responses.
💡 Intended Use Cases for AI Assistants
- Customer Support: Revolutionize user experience by providing instant, accurate answers to inquiries, reducing response times and improving satisfaction.
- Content Creation: Empower writers and marketers to generate high-quality, relevant content, informed by current trends and specific project requirements.
- Educational Tools: Offer students and educators access to up-to-date information, facilitating research, learning, and personalized educational experiences.
- Personal Assistants: Develop intelligent personal assistants capable of delivering informed, context-aware responses to a wide range of user questions.
Getting Started with the OpenAI Assistants API: A Step-by-Step Guide
-
1. Create Your Assistant: Begin by defining your AI assistant. Upon execution, you will receive its details, including a crucial ID. Save this ID as it is essential for all future interactions.
-
2. Create a Thread: A thread represents a conversation session. You'll receive thread information and its unique ID. Store this ID to manage the conversation history.
-
3. Create a Message: Add a message to your specified thread. This step requires the thread ID. You will receive message details and its ID.
-
4. Launch the Runner: Execute the messages within the thread using your assistant. You'll need both the thread ID and assistant ID. Save the run ID to monitor its execution status.
-
5. Track the Run Status: After launching, continuously check the status of your run using its ID.
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6. Retrieve Assistant's Response: Once the run status changes to "completed," you can fetch and display the assistant's generated response.
Important Note on Model Selection: When creating your assistant, the choice of AI model is critical. Pricing, available parameters, and context window size are all directly influenced by the selected model. For a comprehensive list of available OpenAI models and their specifications, please refer to the OpenAI Models Reference Page.
🔗 API Documentation:
For in-depth technical details and further guidance on integrating the Assistants API, consult the Official OpenAI API Documentation.
🌐 Ethical Guidelines for AI Development
OpenAI places a strong emphasis on ethical considerations in all AI development. We advocate for transparency regarding the capabilities and limitations of our solutions. Users are encouraged to adopt responsible practices to prevent any misuse or harmful applications of AI-generated content, ensuring a positive impact on society.
⚖️ Licensing Information
The OpenAI Assistants API is provided under an open-source MIT license. This license grants extensive rights for both research and commercial usage, while simultaneously upholding ethical standards concerning creator rights and intellectual property.
❓ Frequently Asked Questions (FAQ)
Q1: What is the OpenAI Assistants API designed for?
A1: It's designed for developers to integrate customizable AI assistant capabilities into applications, enabling them to perform complex tasks like code interpretation and file search.
Q2: Can I customize the behavior of an AI assistant?
A2: Yes, the Assistants API allows developers to create tailored assistants with distinct instructions and functionalities to suit specific application needs.
Q3: How does the API manage conversation context?
A3: The API uses "Persistent Threads" which maintain conversation history, simplifying context management across multiple interactions.
Q4: Are there ethical guidelines for using the OpenAI Assistants API?
A4: Yes, OpenAI emphasizes ethical considerations, promoting transparency about capabilities and limitations, and encouraging responsible usage to prevent misuse.
Q5: What licensing model does the OpenAI Assistants API use?
A5: It is available under an open-source MIT license, allowing for both research and commercial usage while ensuring compliance with ethical standards.
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