Azure OpenAI Service

Apply large language models and generative AI to a variety of use cases

Integrate the Azure OpenAI Service API with the MySQL API

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

Chat with Azure OpenAI Service API on New Column from MySQL API
MySQL + Azure OpenAI Service
 
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Chat with Azure OpenAI Service API on New or Updated Row from MySQL API
MySQL + Azure OpenAI Service
 
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Chat with Azure OpenAI Service API on New Row (Custom Query) from MySQL API
MySQL + Azure OpenAI Service
 
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Chat with Azure OpenAI Service API on New Row from MySQL API
MySQL + Azure OpenAI Service
 
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Chat with Azure OpenAI Service API on New Table from MySQL API
MySQL + Azure OpenAI Service
 
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New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

 
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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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Create Row with the MySQL API

Adds a new row. See the docs here

 
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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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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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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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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

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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 MySQL

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL

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import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});