What do you want to automate
with OpenAI (ChatGPT) and Python?
Prompt, edit and deploy AI agents that connect to OpenAI (ChatGPT), Python and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Ways to Connect OpenAI (ChatGPT) with Python#
Popular OpenAI (ChatGPT) and Python Triggers#
Emit new event when a new batch is completed in OpenAI. See the documentation
Emit new event when a new file is created in OpenAI. See the documentation
Emit new event when a new fine-tuning job is created in OpenAI. See the documentation
Emit new event every time a run changes its status. See the documentation
Popular OpenAI (ChatGPT) and Python Actions#
The Chat API, using the gpt-3.5-turbo or gpt-4 model. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Chat using the web search tool. See the documentation
Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions. See the documentation
Chat with your files knowledge base (vector stores). See the documentation
Overview of OpenAI (ChatGPT)#
OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:
- Web search
- Function calling
- Text generation
- Embeddings
- Fine-tuning
- Image Generation
- Vision
- Text-to-Speech
- Speech-to-Text
Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:
Connect OpenAI (ChatGPT)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
openai: {
type: "app",
app: "openai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.openai.com/v1/models`,
headers: {
Authorization: `Bearer ${this.openai.$auth.api_key}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies