OpenAI
Build powerful AI applications with GPT-5, GPT-3.5, and embedding models for chatbots, content generation, code generation, and more.
Connect OpenAI to Kurai
Give priority to tasks and projects based on the requirements of your customers, and establish a closer feedback loop with them.
Kurai would like to
- Access API keys and usage metrics
- Model fine-tuning permissions
- Organization and project management
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Company Details
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Built by - OpenAI, LP.
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Website - openai.com
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Category - AI & Machine Learning
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Docs - OpenAI API Reference
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Contact - OpenAI Support
How to Integrate OpenAI with Your App
OpenAI’s API provides access to state-of-the-art language models including GPT-5, GPT-3.5, and embedding models. Perfect for building AI-powered features like chatbots, content generation, code assistance, and more.
Step 1: Get API Access
Navigate to platform.openai.com and sign up for an account. Verify your email and phone number to access the API.
Step 2: Create an API Key
Go to Settings → API Keys and click Create new secret key. Copy this key immediately—you won’t be able to see it again.
Step 3: Install the SDK
OpenAI provides official SDKs for Python and Node.js:
# Python
pip install openai
# Node.js
npm install openai
Step 4: Make Your First API Call
from openai import OpenAI
client = OpenAI(api_key="your-api-key")
response = client.chat.completions.create(
model="GPT-5",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain RAG systems in simple terms."}
],
temperature=0.7,
max_tokens=500
)
print(response.choices[0].message.content)
Step 5: Explore Use Cases
Chatbots & Virtual Assistants:
- Customer support automation
- Internal knowledge base assistants
- Personalized recommendations
Content Generation:
- Marketing copy and blog posts
- Product descriptions
- Email templates and responses
Code Generation:
- Code completion and suggestions
- Bug detection and fixes
- Documentation generation
Embeddings & Search:
- Semantic search
- Document similarity
- Recommendation systems
Best Practices
- Start with gpt-3.5-turbo for cost-effective prototyping
- Use temperature to control randomness (0 = deterministic, 1 = creative)
- Implement rate limiting to avoid hitting API quotas
- Cache responses to reduce costs for repeated queries
- Validate outputs before using in production
For detailed guides and API reference, visit OpenAI Documentation.