← DopplerAI

Send Message with DopplerAI API

Pipedream makes it easy to connect APIs for DopplerAI and 2,000+ other apps remarkably fast.

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Send Message with the DopplerAI API
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Getting Started

Create a workflow to Send Message with the DopplerAI API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Send Message action
    1. Connect your DopplerAI account
    2. Configure Prompt
    3. Configure Content
    4. Configure Memorize
    5. Configure Remember
    6. Select a Chat UUID
    7. Optional- Select a Collection UUID
    8. Optional- Configure Model Name
    9. Optional- Configure Temperature
    10. Optional- Configure Frequency Penalty
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

Send Message with DopplerAI API on New Requests (Payload Only) from HTTP / Webhook API
HTTP / Webhook + DopplerAI
 
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Send Message with DopplerAI API on New Submission from Typeform API
Typeform + DopplerAI
 
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Send Message with DopplerAI API on Custom Events from Zoom API
Zoom + DopplerAI
 
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Send Message with DopplerAI API on New Submission (Instant) from Jotform API
Jotform + DopplerAI
 
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Send Message with DopplerAI API on New Scheduled Tasks from Pipedream API
Pipedream + DopplerAI
 
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is 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.

Send Message on DopplerAI
Description:Dispatches a message to the artificial intelligence. [See the documentation](https://api.dopplerai.com/docs/reference#tag/Messages/operation/send_message_v1_messages_post)
Version:0.0.1
Key:dopplerai-send-message

Code

import dopplerai from "../../dopplerai.app.mjs";

export default {
  key: "dopplerai-send-message",
  name: "Send Message",
  description: "Dispatches a message to the artificial intelligence. [See the documentation](https://api.dopplerai.com/docs/reference#tag/Messages/operation/send_message_v1_messages_post)",
  version: "0.0.1",
  type: "action",
  props: {
    dopplerai,
    prompt: {
      type: "string",
      label: "Prompt",
      description: "Prompt that is added prior to the content",
    },
    content: {
      type: "string",
      label: "Content",
      description: "The content of the message",
    },
    memorize: {
      type: "boolean",
      label: "Memorize",
      description: "Memorize the conversation to memory",
    },
    remember: {
      type: "boolean",
      label: "Remember",
      description: "Remember past conversations that have been memorized",
    },
    chatUuid: {
      propDefinition: [
        dopplerai,
        "chatUuid",
      ],
    },
    collectionUuid: {
      propDefinition: [
        dopplerai,
        "collectionUuid",
      ],
    },
    modelName: {
      type: "string",
      label: "Model Name",
      description: "The name of the large language model. Default: `gpt-3.5-turbo`",
      default: "gpt-3.5-turbo",
      optional: true,
    },
    temperature: {
      type: "integer",
      label: "Temperature",
      description: "The temperature of the large language model. Default: `0`",
      default: 0,
      optional: true,
    },
    frequencyPenalty: {
      type: "string",
      label: "Frequency Penalty",
      description: "The frequency penalty of the large language model. Default: `0.7`",
      default: "0.7",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.dopplerai.sendMessage({
      $,
      data: {
        message: {
          prompt: this.prompt,
          content: this.content,
          chat_uuid: this.chatUuid,
        },
        large_language_model: {
          model_name: this.modelName,
          temperature: this.temperature,
          frequency_penalty: this.frequencyPenalty,
        },
        memory: {
          memorize: this.memorize,
          remember: this.remember,
        },
        vector_database: this.collectionUuid
          ? {
            collection_uuid: this.collectionUuid,
          }
          : undefined,
      },
    });
    $.export("$summary", `Successfully sent message with UUID ${response.uuid}`);
    return response;
  },
};

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
DopplerAIdoppleraiappThis component uses the DopplerAI app.
Promptpromptstring

Prompt that is added prior to the content

Contentcontentstring

The content of the message

Memorizememorizeboolean

Memorize the conversation to memory

Rememberrememberboolean

Remember past conversations that have been memorized

Chat UUIDchatUuidstringSelect a value from the drop down menu.
Collection UUIDcollectionUuidstringSelect a value from the drop down menu.
Model NamemodelNamestring

The name of the large language model. Default: gpt-3.5-turbo

Temperaturetemperatureinteger

The temperature of the large language model. Default: 0

Frequency PenaltyfrequencyPenaltystring

The frequency penalty of the large language model. Default: 0.7

Authentication

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

About DopplerAI

DopplerAI is a single API for memory, data processing and scaling vector databases.

More Ways to Use DopplerAI

Actions

Create Chat with the DopplerAI API

Initializes a new chat thread. See the documentation

 
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Create Collection with the DopplerAI API

Establishes a new collection to save uploaded data. See the documentation

 
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