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OpenAI Assistants API

Build stateful AI assistants with memory and tool use Pricing: Paid. See pros, cons, alternatives, and comparisons.

  • Open source
  • Free forever
OpenAI Assistants API screenshot

What is OpenAI Assistants API?

OpenAI Assistants API lets you build AI assistants that maintain conversation history and can use external tools. Rather than managing message history yourself, the API handles state automatically, meaning your assistant remembers previous interactions and context across sessions. You can connect your assistants to custom functions, knowledge files, and code execution environments, giving them the ability to take actions beyond text generation. This is useful for building customer support bots, research assistants, or automation tools that need to perform real work rather than just answer questions.

Key features

Stateful conversations

The API maintains conversation history automatically, so assistants remember context without you managing it manually

Tool use

Connect assistants to custom functions, APIs, and external services so they can take actions in your systems

Code execution

Assistants can write and run Python code in a sandboxed environment

File handling

Upload documents and knowledge files that assistants can reference and analyse

Multiple models

Build assistants using different OpenAI models, including GPT-4 and GPT-3.5-turbo

Pros & cons

Advantages

  • Reduces engineering effort by handling session management and memory automatically
  • Direct integration with OpenAI's infrastructure means no separate hosting or database setup required
  • Tool use capability allows assistants to interact with your own systems and external APIs
  • Fine-grained control over assistant behaviour through system prompts and model selection

Limitations

  • Pricing scales with token usage, which can become expensive for high-volume applications
  • Limited customisation compared to building assistants from scratch with base models
  • Vendor lock-in to OpenAI's infrastructure and pricing model

Use cases

Customer support chatbots that can look up account information and process requests

Research assistants that analyse documents and generate reports

Internal automation tools that schedule tasks and interact with company systems

Knowledge base assistants that answer questions based on uploaded documentation

Data analysis assistants that can execute code and return insights

Ready to try OpenAI Assistants API?

Pricing

Pay as you go

Usage-based pricing

Charged per input and output token used, plus per tool call. No upfront commitment required. Exact rates available on OpenAI pricing page

Get started with OpenAI Assistants API

Click through to OpenAI Assistants API and start using it now.

  • Open source
  • Free forever