Integrate the Azure OpenAI Service API with the Python API

Setup the Azure OpenAI Service API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Azure OpenAI Service and Python remarkably fast. Free for developers.

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Popular Azure OpenAI Service and Python Actions#

Chat with the Azure OpenAI Service API

Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Classify Items Into Categories with the Azure OpenAI Service API

Classify items into specific categories. See the documentation

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Create Image with the Azure OpenAI Service API

Creates an image given a prompt, and returns a URL to the image. See the documentation

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Summarize with the Azure OpenAI Service API

Summarizes a text message with the GPT-35-Turbo and GPT-4 models. See the documentation

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Overview of Azure OpenAI Service#

The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.

Connect Azure OpenAI Service#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    azure_openai_service: {
      type: "app",
      app: "azure_openai_service",
    }
  },
  async run({steps, $}) {
    const data = {
      "messages": [{ role: 'user', content: "Hello, world!" }],
    }
    return await axios($, {
      method: "post",
      url: `https://${this.azure_openai_service.$auth.resource_name}.openai.azure.com/openai/deployments/${this.azure_openai_service.$auth.deployment_name}/chat/completions?api-version=2023-05-15`,
      headers: {
        "Content-Type": `application/json`,
        "api-key": `${this.azure_openai_service.$auth.api_key}`,
      },
      data,
    })
  },
})

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}}

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