> ## Documentation Index
> Fetch the complete documentation index at: https://framework.beeai.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenAI API

The [OpenAI API](https://platform.openai.com/docs/quickstart) provides a simple interface to state-of-the-art AI models for text generation, natural language processing, computer vision, and more.

***

<Heading level={2} id="server">OpenAI Server</Heading>

OpenAIServer allows you to expose your agents and LLMs to external systems that support the Chat completion or Responses API.

Key benefits

* Fast setup with minimal configuration
* Support for [Chat Completion API](https://platform.openai.com/docs/api-reference/chat) and [Responses API](https://platform.openai.com/docs/api-reference/responses)
* Register multiple agents and LLMs on a single server
* Custom server settings

<CodeGroup>
  ```py Python [expandable] theme={null}
  from beeai_framework.adapters.openai.serve.server import OpenAIAPIType, OpenAIServer, OpenAIServerConfig
  from beeai_framework.agents.requirement import RequirementAgent
  from beeai_framework.backend import ChatModel
  from beeai_framework.memory import UnconstrainedMemory
  from beeai_framework.tools.weather import OpenMeteoTool


  def main() -> None:
      llm = ChatModel.from_name("ollama:granite4:micro")
      agent = RequirementAgent(
          llm=llm,
          tools=[OpenMeteoTool()],
          memory=UnconstrainedMemory(),
      )

      server = OpenAIServer(
          config=OpenAIServerConfig(
              port=9998,
              api=OpenAIAPIType.RESPONSES,
          )
      )
      server.register(agent, name="agent")
      server.register(llm)
      server.serve()


  if __name__ == "__main__":
      main()

  ```

  ```ts TypeScript [expandable] theme={null}
   // coming soon
  ```
</CodeGroup>

You can easily call the exposed entities via cURL.

<CodeGroup>
  ```sh Responses API theme={null}
  curl --location 'http://0.0.0.0:9998/responses' \
  --header 'Content-Type: application/json' \
  --data '{
  	"model": "agent",
  	"conversation": "123",
  	"stream": false,
  	"input": "Hello, how are you?"
  }'
  ```

  ```sh Chat Completion API theme={null}
  curl --location 'http://0.0.0.0:9998/chat/completions' \
  --header 'Content-Type: application/json' \
  --data '{
      "model": "agent",
      "stream": false,
      "messages": [
          {
              "role": "user",
              "content": "Hello, how are you?"
          }
      ]
  }'
  ```
</CodeGroup>