ChatOpenAI
ChatOpenAI(
system_prompt=None,
model=None,
api_key=None,
base_url='https://api.openai.com/v1',
kwargs=None,
)Chat with an OpenAI model using the responses API.
OpenAI provides a number of chat-based models, mostly under the ChatGPT brand.
Prerequisites
Note that a ChatGPT Plus membership does not give you the ability to call models via the API. You will need to go to the developer platform to sign up (and pay for) a developer account that will give you an API key that you can use with this package.
Examples
import os
from chatlas import ChatOpenAI
chat = ChatOpenAI(api_key=os.getenv("OPENAI_API_KEY"))
chat.chat("What is the capital of France?")Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| system_prompt | Optional[str] | A system prompt to set the behavior of the assistant. | None |
| model | 'Optional[ResponsesModel | str]' | The model to use for the chat. The default, None, will pick a reasonable default, and warn you about it. We strongly recommend explicitly choosing a model for all but the most casual use. | None |
| api_key | Optional[str] | The API key to use for authentication. You generally should not supply this directly, but instead set the OPENAI_API_KEY environment variable. |
None |
| base_url | str | The base URL to the endpoint; the default uses OpenAI. | 'https://api.openai.com/v1' |
| kwargs | Optional['ChatClientArgs'] | Additional arguments to pass to the openai.OpenAI() client constructor. |
None |
Returns
| Name | Type | Description |
|---|---|---|
| Chat | A chat object that retains the state of the conversation. |
Note
Pasting an API key into a chat constructor (e.g., ChatOpenAI(api_key="...")) is the simplest way to get started, and is fine for interactive use, but is problematic for code that may be shared with others.
Instead, consider using environment variables or a configuration file to manage your credentials. One popular way to manage credentials is to use a .env file to store your credentials, and then use the python-dotenv package to load them into your environment.
pip install python-dotenv
# .env
OPENAI_API_KEY=...
from chatlas import ChatOpenAI
from dotenv import load_dotenv
load_dotenv()
chat = ChatOpenAI()
chat.console()Another, more general, solution is to load your environment variables into the shell before starting Python (maybe in a .bashrc, .zshrc, etc. file):
export OPENAI_API_KEY=...
Note
The responses API does not support the seed parameter. If you need reproducible output, use ChatOpenAICompletions instead.