Guides
7 guides available in the ChatGPT directory
apiOpenAI Batch API: Cut Costs for Bulk Processing
Learn how to use the OpenAI Batch API to cut costs by 50% for bulk processing tasks. Covers setup, request formatting, job creation, monitoring, error handling, and troubleshooting.
apiOpenAI Vision API: Processing Images with GPT Models
Learn how to use the OpenAI Vision API to analyze images with GPT models. Covers setup, sending images via URL, Base64, or file ID, controlling detail levels, cost calculation, and troubleshooting.
apiStreaming ChatGPT Responses in Web Applications: A Complete Guide
Learn how to stream ChatGPT responses in web applications using the OpenAI API. This guide covers setup, implementation in JavaScript and Python, event handling, and troubleshooting for real-time text generation.
apiOpenAI Embeddings for Semantic Search: A Practical Guide
Learn how to use OpenAI's text embedding models for semantic search, clustering, recommendations, and classification. This guide covers concepts, setup, API usage, dimension reduction, and practical tips from official documentation and community experience.
apiHandling OpenAI API Rate Limits and Quota Errors: A Complete Guide
Learn how to handle OpenAI API rate limits (429) and quota errors. Covers error types, exponential backoff, Python library exceptions, and troubleshooting steps for production applications.
apiOpenAI Structured Outputs: Guaranteed JSON Schemas with Function Calling
Learn how to use OpenAI Structured Outputs to guarantee JSON schema conformance from GPT models. Covers function tool definitions, strict mode, tool call handling, and best practices for both Chat Completions and Responses APIs.
apiChatGPT Function Calling and Tool Use for Developers: Complete Guide
Learn how to build applications that let ChatGPT models call external functions and use tools. Covers defining function schemas, handling tool call responses, managing multi-turn conversations, and best practices.