IntermediateИнженерия

OpenAI Cookbook: Official Recipes

Official OpenAI examples: Assistants API, function calling, embeddings, meta-prompting, vision, hallucination guardrails, data extraction, and fine-tuning. Real Python code from the OpenAI team.

8modules

8lessons

200 mintotal time

Developers learning advanced OpenAI API patternsaudience

Module 1

Assistants API and Agents

Building persistent assistants with tools: Code Interpreter, File Search, and custom function calls via the Assistants API.

Assistants API: Building Stateful Assistants

Deep dive into the Assistants API as a stateful evolution of Chat Completions: Thread, Run, Message primitives, built-in Code Interpreter and File Search tools, and run lifecycle management.

25 min

Module 2

Function Calling and Retrieval

Building knowledge-aware agents: function calling for arXiv search plus embeddings for ranking relevant documents.

Function Calling for Knowledge Retrieval

Build an agent with two functions: arXiv article search using embeddings, and PDF summarization. The agent decides which function to call based on the user's query.

25 min

Module 3

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OpenAI Cookbook: Official Recipes

Assistants API and Agents

Function Calling and Retrieval

Embeddings and Search

Prompting and Optimization

Vision and Multimodality

Reliability and Quality

Data Extraction and Transformation

Fine-Tuning