openai-assistants

Orchestrate assistants, threads, runs, and tools via the OpenAI Assistants API.

52|6|Updated Nov 24, 2025

Search Tags:#threads #function-calling #code-interpreter #assistants #file-search #stateful-chatbot #runs

Ready to run

npx skills add https://github.com/ovachiever/droid-tings --skill openai-assistants-ovachiever

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openai-assistants
Source: https://github.com/ovachiever/droid-tings/tree/main/skills/openai-assistants
Command: npx skills add https://github.com/ovachiever/droid-tings --skill openai-assistants-ovachiever

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and templates (resource) and assets (resource) components.

What problem does it solve?

This Skill documents OpenAI's Assistants API v2, enabling stateful chatbots with threads, runs, file attachments, and supports Code Interpreter, File Search, and Function Calling. It also notes sunset and migration guidance to the Responses API.

Core Features & Use Cases

Stateful assistants with persistent threads and runs
File attachments and rich content in messages
Built-in tools: Code Interpreter, File Search, and Function Calling
Migration guidance to OpenAI's Responses API
Templates, references, and CI/CD patterns for production use

Quick Start

Create an assistant, start a thread, add user messages, run, poll for completion, and fetch the final response.

Frequently Asked Questions about openai-assistants

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build a stateful chatbot using the OpenAI Assistants API?▼

Build stateful chatbots by creating an assistant, starting a thread, adding user messages, executing runs, and polling for completion. Assistants API v2 persists conversation state across multiple turns, supporting file attachments, code execution, semantic search, and function calling without managing message history manually.

What's the difference between threads and runs in the Assistants API?▼

Threads are persistent conversation containers holding up to 100k messages. Runs execute assistant logic against a thread asynchronously, orchestrating tools like code_interpreter and file_search. Together they enable multi-turn stateful interactions without rebuilding context between requests.

Can I use the Assistants API for document Q&A with semantic search?▼

Yes. The Assistants API supports file_search with vector stores for RAG-enabled document retrieval across thousands of documents. Upload files via batch indexing, attach vector stores to assistants, and the API performs semantic search without manual embedding or retrieval logic.

How do I handle long-running operations with the Assistants API?▼

Runs execute asynchronously. Use polling to check run status until completion, or consume server-sent events (SSE) for streaming results. The API handles background processing, eliminating timeout concerns for code execution and file operations.

Does the Assistants API support code execution and file uploads?▼

Yes. The code_interpreter tool executes Python code with file I/O. File attachments and vector stores enable document uploads, batch indexing, and retrieval. Both features work natively within the run execution model without external infrastructure.

What should I know about migrating from Assistants API to the Responses API?▼

The Assistants API is sunsetting in favor of the Responses API. This Skill includes migration guidance for transitioning stateful chatbot logic, threads, runs, and tools to the newer API without rebuilding conversation persistence.