← HubSpot + Azure OpenAI Service integrations

Chat with Azure OpenAI Service API on New Deal In Stage from HubSpot API

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New Deal In Stage from the HubSpot API
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Getting Started

This integration creates a workflow with a HubSpot trigger and Azure OpenAI Service action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Deal In Stage trigger
    1. Connect your HubSpot account
    2. Configure timer
    3. Select a Pipeline
    4. Select one or more Stages
  3. Configure the Chat action
    1. Connect your Azure OpenAI Service account
    2. Configure User Message
    3. Optional- Configure System Instructions
    4. Optional- Configure Prior Message History
    5. Optional- Configure Temperature
    6. Optional- Configure N
    7. Optional- Configure Stream
    8. Optional- Configure Stop
    9. Optional- Configure Max Tokens
    10. Optional- Configure Presence Penalty
    11. Optional- Configure Frequency Penalty
    12. Optional- Configure User
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event for each new deal in a stage.
Version:0.0.25
Key:hubspot-new-deal-in-stage

HubSpot Overview

The HubSpot API enables developers to integrate into HubSpots CRM, CMS, Conversations, and other features. It allows for automated management of contacts, companies, deals, and marketing campaigns, enabling custom workflows, data synchronization, and task automation. This streamlines operations and boosts customer engagement, with real-time updates for rapid response to market changes.

Trigger Code

import common from "../common/common.mjs";
import { DEFAULT_LIMIT } from "../../common/constants.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "hubspot-new-deal-in-stage",
  name: "New Deal In Stage",
  description: "Emit new event for each new deal in a stage.",
  version: "0.0.25",
  dedupe: "unique",
  type: "source",
  props: {
    ...common.props,
    pipeline: {
      propDefinition: [
        common.props.hubspot,
        "dealPipeline",
      ],
    },
    stages: {
      propDefinition: [
        common.props.hubspot,
        "stages",
        (c) => ({
          pipeline: c.pipeline,
        }),
      ],
    },
  },
  methods: {
    ...common.methods,
    async getTs(deal) {
      const { properties } = await this.hubspot.getDeal({
        dealId: deal.id,
        params: {
          includePropertyVersions: true,
        },
      });
      return properties.dealstage?.versions[0].timestamp;
    },
    emitEvent(deal, ts) {
      const {
        id,
        properties,
      } = deal;
      this.$emit(deal, {
        id: `${id}${properties.dealstage}`,
        summary: `${properties.dealname}`,
        ts,
      });
    },
    isRelevant(ts, updatedAfter) {
      return ts > updatedAfter;
    },
    getParams() {
      return null;
    },
    getStageParams(stage) {
      const filter = {
        propertyName: "dealstage",
        operator: "EQ",
        value: stage,
      };
      const filterGroup = {
        filters: [
          filter,
        ],
      };
      return {
        data: {
          limit: DEFAULT_LIMIT,
          filterGroups: [
            filterGroup,
          ],
          sorts: [
            {
              propertyName: "hs_lastmodifieddate",
              direction: "DESCENDING",
            },
          ],
        },
        object: "deals",
      };
    },
    async processDeals(params, after) {
      let maxTs = after || 0;

      do {
        const results = await this.hubspot.searchCRM(params);
        if (results.paging) {
          params.after = results.paging.next.after;
        } else {
          delete params.after;
        }

        for (const deal of results.results) {
          const ts = await this.getTs(deal);
          if (this.isRelevant(ts, after)) {
            this.emitEvent(deal, ts);
            if (ts > maxTs) {
              maxTs = ts;
              this._setAfter(ts);
            }
          }
        }
      } while (params.after);
    },
    async processResults(after) {
      for (const stage of this.stages) {
        const params = this.getStageParams(stage);
        await this.processDeals(params, after);
      }
    },
  },
  sampleEmit,
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
HubSpothubspotappThis component uses the HubSpot app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
PipelinepipelinestringSelect a value from the drop down menu.
Stagesstagesstring[]Select a value from the drop down menu.

Trigger Authentication

HubSpot uses OAuth authentication. When you connect your HubSpot account, Pipedream will open a popup window where you can sign into HubSpot and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any HubSpot API.

Pipedream requests the following authorization scopes when you connect your account:

business-intelligencecrm.lists.readcrm.lists.writecrm.objects.companies.readcrm.objects.companies.writecrm.objects.contacts.readcrm.objects.contacts.writecrm.objects.deals.readcrm.objects.deals.writecrm.objects.quotes.readcrm.objects.quotes.writecrm.objects.owners.readcrm.objects.listings.writecrm.objects.listings.readcrm.schemas.companies.readcrm.schemas.companies.writecrm.schemas.contacts.readcrm.schemas.contacts.writecrm.schemas.deals.readcrm.schemas.deals.writecrm.schemas.quotes.readcrm.schemas.listings.writecrm.schemas.listings.readconversations.readcrm.importfilesformsforms-uploaded-filesintegration-syncoauthtimeline

About HubSpot

HubSpot's CRM platform contains the marketing, sales, service, operations, and website-building software you need to grow your business.

Action

Description:Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)
Version:0.0.1
Key:azure_openai_service-chat

Azure OpenAI Service Overview

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.

Action Code

import azureOpenAI from "../../azure_openai_service.app.mjs";
import common from "../common/common.mjs";

export default {
  ...common,
  key: "azure_openai_service-chat",
  name: "Chat",
  description: "Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)",
  version: "0.0.1",
  type: "action",
  props: {
    azureOpenAI,
    userMessage: {
      type: "string",
      label: "User Message",
      description: "The user messages to provide instructions to the assistant.",
    },
    systemInstructions: {
      label: "System Instructions",
      type: "string",
      description: "The system message helps set the behavior of the assistant. For example: \"You are a helpful assistant.\"",
      optional: true,
    },
    messages: {
      label: "Prior Message History",
      type: "string[]",
      description: "_Advanced_. Because [the models have no memory of past chat requests](https://platform.openai.com/docs/guides/chat/introduction), all relevant information must be supplied via the conversation. You can provide [an array of messages](https://platform.openai.com/docs/guides/chat/introduction) from prior conversations here. If this param is set, the action ignores the values passed to **System Instructions** and **Assistant Response**, appends the new **User Message** to the end of this array, and sends it to the API.",
      optional: true,
    },
    ...common.props,
  },
  async run({ $ }) {
    const data = this._getChatArgs();
    const response = await this.azureOpenAI.createChatCompletion({
      data,
      $,
    });

    if (response) {
      $.export("$summary", `Successfully sent chat with ID ${response.id}.`);
    }

    const { messages } = data;
    return {
      original_messages: messages,
      original_messages_with_assistant_response: messages.concat(response.choices[0]?.message),
      ...response,
    };
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
Azure OpenAI ServiceazureOpenAIappThis component uses the Azure OpenAI Service app.
User MessageuserMessagestring

The user messages to provide instructions to the assistant.

System InstructionssystemInstructionsstring

The system message helps set the behavior of the assistant. For example: "You are a helpful assistant."

Prior Message Historymessagesstring[]

Advanced. Because the models have no memory of past chat requests, all relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here. If this param is set, the action ignores the values passed to System Instructions and Assistant Response, appends the new User Message to the end of this array, and sends it to the API.

Temperaturetemperaturestring

What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

Nninteger

How many completions to generate

Streamstreamboolean

If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message.

Stopstopstring

Up to 4 sequences where the API will stop generating further tokens.

Max TokensmaxTokensinteger

The maximum number of tokens allowed for the generated answer. By default, the number of tokens the model can return will be (4096 - prompt tokens).

Presence PenaltypresencePenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

Frequency PenaltyfrequencyPenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

Useruserstring

A unique identifier representing your end-user, which can help Azure OpenAI to monitor and detect abuse.

Action Authentication

Azure OpenAI Service uses API keys for authentication. When you connect your Azure OpenAI Service account, Pipedream securely stores the keys so you can easily authenticate to Azure OpenAI Service APIs in both code and no-code steps.

Before you start, you'll need to deploy a model in the Azure OpenAI Service.

Once that's done, enter the name of your Azure OpenAI resource, the deployment name you chose when you deployed the model, and your Azure OpenAI key below.

About Azure OpenAI Service

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

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