codeinterpreter-api Agent工作流

Installation

Get your OpenAI API Key here and install the package.

pip install "codeinterpreterapi[all]"

Everything for local experiments are installed with the all extra. For deployments, you can use pip install codeinterpreterapi instead which does not install the additional dependencies.

Usage

To configure OpenAI and Azure OpenAI, ensure that you set the appropriate environment variables (or use a .env file):

For OpenAI, set the OPENAI_API_KEY environment variable:

export OPENAI_API_KEY=sk-**********

```python from codeinterpreterapi import CodeInterpreterSession, settings

this example uses async but normal sync like above works too

async def main(): # context manager for auto start/stop of the session async with CodeInterpreterSession() as session: # define the user request user_request = "Analyze this dataset and plot something interesting about it." files = [ # attach files to the request File.from_path("examples/assets/iris.csv"), ]

# generate the response response = await session.generate_response( user_request, files=files )

# output to the user print("AI: ", response.content) for file in response.files: # iterate over the files (display if image) file.show_image()

if name == "main": import asyncio

asyncio.run(main()) ```

Iris Dataset Analysis Output

👾 Code Interpreter API

A LangChain implementation of the ChatGPT Code Interpreter. Using CodeBoxes as backend for sandboxed python code execution. CodeBox is the simplest cloud infrastructure for your LLM Apps. You can run everything local except the LLM using your own OpenAI API Key.