Azure OpenAI Service

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

Integrate the Azure OpenAI Service API with the MongoDB API

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

Chat with Azure OpenAI Service API on New Collection from MongoDB API
MongoDB + Azure OpenAI Service
 
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Chat with Azure OpenAI Service API on New Database from MongoDB API
MongoDB + Azure OpenAI Service
 
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Chat with Azure OpenAI Service API on New Document from MongoDB API
MongoDB + Azure OpenAI Service
 
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Chat with Azure OpenAI Service API on New Field in Document from MongoDB API
MongoDB + Azure OpenAI Service
 
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Classify Items Into Categories with Azure OpenAI Service API on New Collection from MongoDB API
MongoDB + Azure OpenAI Service
 
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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
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New Database from the MongoDB API

Emit new an event when a new database is added

 
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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

 
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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

 
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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 New Document with the MongoDB API

Create a new document in a collection of your choice. 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 a Document with the MongoDB API

Delete a single document by ID. 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 MongoDB

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB

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import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})