Cosette

cosette

Install

pip install cosette

Getting started

OpenAI’s Python SDK will automatically be installed with Cosette, if you don’t already have it.

from cosette import *

Cosette only exports the symbols that are needed to use the library, so you can use `import *` to import them. Alternatively, just use:

import cosette

…and then add the prefix `cosette.` to any usages of the module.

Cosette provides `models`, which is a list of models currently available from the SDK.

' '.join(models)

'o1-preview o1-mini gpt-4o gpt-4o-mini gpt-4-turbo gpt-4 gpt-4-32k gpt-3.5-turbo gpt-3.5-turbo-instruct o1 o3-mini chatgpt-4o-latest o1-pro o3 o4-mini gpt-4.1 gpt-4.1-mini gpt-4.1-nano'

For these examples, we’ll use GPT-4.1.

model = 'gpt-4.1'

Chat

The main interface to Cosette is the [`Chat`](https://AnswerDotAI.github.io/cosette/core.html#chat) class, which provides a stateful interface to the models:

chat = Chat(model, sp="""You are a helpful and concise assistant.""")
chat("I'm Jeremy")

Hi Jeremy! How can I help you today?

• id: chatcmpl-BjwyifaV82goo6WYIeEORBGDMLCSA
• choices: [Choice(finish_reason=‘stop’, index=0, logprobs=None, message=ChatCompletionMessage(content=‘Hi Jeremy! How can I help you today?’, refusal=None, role=‘assistant’, annotations=[], audio=None, function_call=None, tool_calls=None))]
• created: 1750291172
• model: gpt-4.1-2025-04-14
• object: chat.completion
• service_tier: default
• system_fingerprint: fp_51e1070cf2
• usage: CompletionUsage(completion_tokens=10, prompt_tokens=21, total_tokens=31, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0))

r = chat("What