← MongoDB + Vapi integrations

Update Assistant Settings with Vapi API on New Field in Document from MongoDB API

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Trigger workflow on
New Field in Document from the MongoDB API
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Update Assistant Settings with the Vapi API
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Getting Started

This integration creates a workflow with a MongoDB trigger and Vapi 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 Field in Document trigger
    1. Connect your MongoDB account
    2. Configure Polling Interval
    3. Select a Database
    4. Select a Collection
    5. Select a Document
  3. Configure the Update Assistant Settings action
    1. Connect your Vapi account
    2. Select a Assistant ID
    3. Optional- Configure Transcriber
    4. Optional- Configure Model
    5. Optional- Configure Voice
    6. Optional- Configure First Message
    7. Optional- Select a First Message Mode
    8. Optional- Configure HIPAA Enabled
    9. Optional- Select one or more Client Messages
    10. Optional- Select one or more Server Messages
    11. Optional- Configure Silence Timeout Seconds
    12. Optional- Configure Max Duration Seconds
    13. Optional- Select a Background Sound
    14. Optional- Configure Background Denoising Enabled
    15. Optional- Configure Model Output in Messages Enabled
    16. Optional- Configure Transport Configurations
    17. Optional- Configure Credentials
    18. Optional- Configure Name
    19. Optional- Configure Voicemail Detection
    20. Optional- Configure Voicemail Message
    21. Optional- Configure End Call Message
    22. Optional- Configure End Call Phrases
    23. Optional- Configure Metadata
    24. Optional- Configure Analysis Plan
    25. Optional- Configure Artifact Plan
    26. Optional- Configure Message Plan
    27. Optional- Configure Start Speaking Plan
    28. Optional- Configure Stop Speaking Plan
    29. Optional- Configure Monitor Plan
    30. Optional- Configure Credential IDs
    31. Optional- Configure Server
  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 an event when a new field is added to a document
Version:0.0.7
Key:mongodb-new-field-in-document

MongoDB Overview

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.

Trigger Code

import common from "../common/base.mjs";

export default {
  ...common,
  key: "mongodb-new-field-in-document",
  name: "New Field in Document",
  description: "Emit new an event when a new field is added to a document",
  version: "0.0.7",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    database: {
      propDefinition: [
        common.props.mongodb,
        "database",
      ],
    },
    collection: {
      propDefinition: [
        common.props.mongodb,
        "collection",
        (c) => ({
          database: c.database,
        }),
      ],
    },
    document: {
      propDefinition: [
        common.props.mongodb,
        "document",
        (c) => ({
          database: c.database,
          collection: c.collection,
        }),
      ],
    },
  },
  methods: {
    ...common.methods,
    _getFields() {
      return this.db.get("fields");
    },
    _setFields(fields) {
      this.db.set("fields", fields);
    },
    isRelevant(key, fields) {
      return !fields.includes(key);
    },
    async processEvent(client, ts) {
      const fields = this._getFields() || [];
      const collection = this.mongodb.getCollection(client, this.database, this.collection);
      const documents = await this.mongodb.listDocuments(collection);
      const doc = documents.find((obj) => {
        return obj._id == this.document;
      });
      const keys = Object.keys(doc);
      for (const key of keys) {
        if (!this.isRelevant(key, fields)) {
          continue;
        }
        fields.push(key);
        this.emitEvent(key, ts);
      }
      this._setFields(fields);
    },
    generateMeta(key, ts) {
      return {
        id: key,
        summary: `New Field ${key}`,
        ts,
      };
    },
  },
};

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
MongoDBmongodbappThis component uses the MongoDB app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling Intervaltimer$.interface.timer

Pipedream will poll the API on this schedule

DatabasedatabasestringSelect a value from the drop down menu.
CollectioncollectionstringSelect a value from the drop down menu.
DocumentdocumentstringSelect a value from the drop down menu.

Trigger Authentication

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

Before you connect to your Mongo database from Pipedream, please make sure your database is accessible from the public internet. You may need to add a firewall rule allowing connections from 0.0.0.0/0.

Then, enter the details of your Mongo host / database below.

About MongoDB

MongoDB is an open source NoSQL database management program.

Action

Description:Updates the configuration settings for a specific assistant. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update)
Version:0.0.1
Key:vapi-update-assistant-settings

Vapi Overview

The Vapi API delivers voice automation capabilities, letting you build powerful voice response systems. With Vapi, you can automate calls, send voice messages, and create dynamic interactions through speech recognition and text-to-speech. Pipedream's serverless platform allows you to integrate Vapi's API with numerous other services to automate workflows, react to events, and orchestrate complex voice-enabled processes.

Action Code

import {
  BACKGROUND_SOUND,
  CLIENT_MESSAGE_OPTIONS,
  FIRST_MESSAGE_MODE_OPTIONS,
  SERVER_MESSAGE_OPTIONS,
} from "../../common/constants.mjs";
import {
  clearObj,
  parseObject,
} from "../../common/utils.mjs";
import vapi from "../../vapi.app.mjs";

export default {
  key: "vapi-update-assistant-settings",
  name: "Update Assistant Settings",
  description: "Updates the configuration settings for a specific assistant. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update)",
  version: "0.0.1",
  type: "action",
  props: {
    vapi,
    assistantId: {
      propDefinition: [
        vapi,
        "assistantId",
      ],
    },
    transcriber: {
      type: "object",
      label: "Transcriber",
      description: "A formatted JSON object for the assistant's transcriber. **Example: { \"provider\": \"talkscriber\", \"language\": \"en\", \"model\": \"whisper\" }**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    model: {
      type: "object",
      label: "Model",
      description: "A formatted JSON object for the assistant's LLM. **Example: {\"provider\": \"xai\", \"model\": \"grok-beta\", \"emotionRecognitionEnabled\": true, \"knowledgeBase\": {\"server\": {\"url\": \"url\", \"timeoutSeconds\": 20}}, \"knowledgeBaseId\": \"model\", \"maxTokens\": 1.1, \"messages\": [{\"role\": \"assistant\"}], \"numFastTurns\": 1.1, \"temperature\": 1.1, \"toolIds\": [\"model\"], \"tools\": [{\"type\": \"transferCall\", \"async\": false}]}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    voice: {
      type: "object",
      label: "Voice",
      description: "A formatted JSON object for the assistant's voice. **Example: {\"provider\":\"tavus\",\"voiceId\":\"r52da2535a\",\"callbackUrl\":\"voice\",\"chunkPlan\":{\"enabled\":true,\"minCharacters\":30,\"punctuationBoundaries\":[\"。\",\",\",\".\",\"!\",\"?\",\";\",\"،\",\",\",\"।\",\"॥\",\"|\",\"||\",\",\",\":\"],\"formatPlan\":{\"enabled\":true,\"numberToDigitsCutoff\":2025}},\"conversationName\":\"voice\",\"conversationalContext\":\"voice\",\"customGreeting\":\"voice\",\"fallbackPlan\":{\"voices\":[{\"provider\":\"tavus\",\"voiceId\":\"r52da2535a\"}]},\"personaId\":\"voice\",\"properties\":{\"maxCallDuration\":1.1,\"participantLeftTimeout\":1.1,\"participantAbsentTimeout\":1.1,\"enableRecording\":true,\"enableTranscription\":true,\"applyGreenscreen\":true,\"language\":\"language\",\"recordingS3BucketName\":\"recordingS3BucketName\",\"recordingS3BucketRegion\":\"recordingS3BucketRegion\",\"awsAssumeRoleArn\":\"awsAssumeRoleArn\"}}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    firstMessage: {
      type: "string",
      label: "First Message",
      description: "The first message the assistant will say or a URL to an audio file. If unspecified, assistant will wait for user to speak and use the model to respond once they speak.",
      optional: true,
    },
    firstMessageMode: {
      type: "string",
      label: "First Message Mode",
      description: "Mode for the first message",
      optional: true,
      options: FIRST_MESSAGE_MODE_OPTIONS,
    },
    hipaaEnabled: {
      type: "boolean",
      label: "HIPAA Enabled",
      description: "When this is enabled, no logs, recordings, or transcriptions will be stored. At the end of the call, you will still receive an end-of-call-report message to store on your server.",
      optional: true,
    },
    clientMessages: {
      type: "string[]",
      label: "Client Messages",
      description: "These are the messages that will be sent to your Client SDKs",
      options: CLIENT_MESSAGE_OPTIONS,
      optional: true,
    },
    serverMessages: {
      type: "string[]",
      label: "Server Messages",
      description: "These are the messages that will be sent to your Server URL",
      options: SERVER_MESSAGE_OPTIONS,
      optional: true,
    },
    silenceTimeoutSeconds: {
      type: "integer",
      label: "Silence Timeout Seconds",
      description: "How many seconds of silence to wait before ending the call.",
      optional: true,
      default: 30,
      min: 10,
      max: 3600,
    },
    maxDurationSeconds: {
      type: "integer",
      label: "Max Duration Seconds",
      description: "This is the maximum number of seconds that the call will last. When the call reaches this duration, it will be ended.",
      optional: true,
      default: 600,
      min: 10,
      max: 43200,
    },
    backgroundSound: {
      type: "string",
      label: "Background Sound",
      description: "This is the background sound in the call. Default for phone calls is 'office' and default for web calls is 'off'.",
      optional: true,
      options: BACKGROUND_SOUND,
    },
    backgroundDenoisingEnabled: {
      type: "boolean",
      label: "Background Denoising Enabled",
      description: "This enables filtering of noise and background speech while the user is talking. Default false while in beta.",
      optional: true,
    },
    modelOutputInMessagesEnabled: {
      type: "boolean",
      label: "Model Output in Messages Enabled",
      description: "This determines whether the model's output is used in conversation history rather than the transcription of assistant's speech. Default false while in beta.",
      optional: true,
    },
    transportConfigurations: {
      type: "string[]",
      label: "Transport Configurations",
      description: "These are the configurations to be passed to the transport providers of assistant's calls, like Twilio. You can store multiple configurations for different transport providers. For a call, only the configuration matching the call transport provider is used. **Example: [{\"provider\":\"twilio\",\"timeout\":60,\"record\":false,\"recordingChannels\":\"mono\"}]**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    credentials: {
      type: "string[]",
      label: "Credentials",
      description: "These are dynamic credentials that will be used for the assistant calls. By default, all the credentials are available for use in the call but you can supplement an additional credentials using this. Dynamic credentials override existing credentials. **Example: [{\"provider\":\"xai\",\"apiKey\":\"credentials\",\"name\":\"credentials\"}]**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    name: {
      type: "string",
      label: "Name",
      description: "Name of the assistant. This is required when you want to transfer between assistants in a call.",
      optional: true,
    },
    voicemailDetection: {
      type: "object",
      label: "Voicemail Detection",
      description: "These are the settings to configure or disable voicemail detection. Alternatively, voicemail detection can be configured using the model.tools=[VoicemailTool]. This uses Twilio's built-in detection while the VoicemailTool relies on the model to detect if a voicemail was reached. You can use neither of them, one of them, or both of them. By default, Twilio built-in detection is enabled while VoicemailTool is not. **Example: {\"provider\":\"twilio\",\"voicemailDetectionTypes\":[\"machine_end_beep\",\"machine_end_silence\"],\"enabled\":true,\"machineDetectionTimeout\":1.1,\"machineDetectionSpeechThreshold\":1.1,\"machineDetectionSpeechEndThreshold\":1.1,\"machineDetectionSilenceTimeout\":1.1}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    voicemailMessage: {
      type: "string",
      label: "Voicemail Message",
      description: "This is the message that the assistant will say if the call is forwarded to voicemail. If unspecified, it will hang up",
      optional: true,
    },
    endCallMessage: {
      type: "string",
      label: "End Call Message",
      description: "This is the message that the assistant will say if it ends the call. If unspecified, it will hang up without saying anything",
      optional: true,
    },
    endCallPhrases: {
      type: "string[]",
      label: "End Call Phrases",
      description: "A list containing phrases that, if spoken by the assistant, will trigger the call to be hung up. Case insensitive.",
      optional: true,
    },
    metadata: {
      type: "object",
      label: "Metadata",
      description: "This is for metadata you want to store on the assistant.",
      optional: true,
    },
    analysisPlan: {
      type: "object",
      label: "Analysis Plan",
      description: "This is the plan for analysis of assistant's calls. Stored in `call.analysis`. **Example: {\"summaryPlan\":{\"messages\":[{\"key\":\"value\"}],\"enabled\":true,\"timeoutSeconds\":1.1},\"structuredDataPlan\":{\"messages\":[{\"key\":\"value\"}],\"enabled\":true,\"schema\":{\"type\":\"string\"},\"timeoutSeconds\":1.1},\"successEvaluationPlan\":{\"rubric\":\"NumericScale\",\"messages\":[{\"key\":\"value\"}],\"enabled\":true,\"timeoutSeconds\":1.1}}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    artifactPlan: {
      type: "object",
      label: "Artifact Plan",
      description: "This is the plan for artifacts generated during assistant's calls. Stored in call.artifact. **Note:** `recordingEnabled` is currently at the root level. It will be moved to `artifactPlan` in the future, but will remain backwards compatible. **Example: {\"recordingEnabled\":true,\"videoRecordingEnabled\":false,\"transcriptPlan\":{\"enabled\":true,\"assistantName\":\"assistantName\",\"userName\":\"userName\"},\"recordingPath\":\"recordingPath\"}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    messagePlan: {
      type: "object",
      label: "Message Plan",
      description: "This is the plan for static predefined messages that can be spoken by the assistant during the call, like idleMessages. **Note:** `firstMessage`, `voicemailMessage`, and `endCallMessage` are currently at the root level. They will be moved to `messagePlan` in the future, but will remain backwards compatible. **Example: {\"idleMessages\":[\"idleMessages\"],\"idleMessageMaxSpokenCount\":1.1,\"idleTimeoutSeconds\":1.1}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    startSpeakingPlan: {
      type: "object",
      label: "Start Speaking Plan",
      description: "This is the plan for when the assistant should start talking. **Example: {\"waitSeconds\":0.4,\"smartEndpointingEnabled\":false,\"customEndpointingRules\":[{\"type\":\"both\",\"assistantRegex\":\"customEndpointingRules\",\"customerRegex\":\"customEndpointingRules\",\"timeoutSeconds\":1.1}],\"transcriptionEndpointingPlan\":{\"onPunctuationSeconds\":0.1,\"onNoPunctuationSeconds\":1.5,\"onNumberSeconds\":0.5}}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    stopSpeakingPlan: {
      type: "object",
      label: "Stop Speaking Plan",
      description: "This is the plan for when assistant should stop talking on customer interruption. **Example: {\"numWords\":0,\"voiceSeconds\":0.2,\"backoffSeconds\":1}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    monitorPlan: {
      type: "object",
      label: "Monitor Plan",
      description: "This is the plan for real-time monitoring of the assistant's calls. **Note:** `serverMessages`, `clientMessages`, `serverUrl` and `serverUrlSecret` are currently at the root level but will be moved to `monitorPlan` in the future. Will remain backwards compatible. **Example: {\"listenEnabled\":false,\"controlEnabled\":false}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
    credentialIds: {
      type: "string[]",
      label: "Credential IDs",
      description: "These are the credentials that will be used for the assistant calls. By default, all the credentials are available for use in the call but you can provide a subset using this.",
      optional: true,
    },
    server: {
      type: "object",
      label: "Server",
      description: "This is where Vapi will send webhooks. You can find all webhooks available along with their shape in ServerMessage schema. **Example: {\"url\":\"url\",\"timeoutSeconds\":20,\"secret\":\"secret\",\"headers\":{\"key\":\"value\"}}**. [See the documentation](https://docs.vapi.ai/api-reference/assistants/update) for further details",
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      vapi,
      assistantId,
      transcriber,
      model,
      voice,
      clientMessages,
      serverMessages,
      transportConfigurations,
      credentials,
      voicemailDetection,
      endCallPhrases,
      metadata,
      analysisPlan,
      artifactPlan,
      messagePlan,
      startSpeakingPlan,
      stopSpeakingPlan,
      monitorPlan,
      credentialIds,
      server,
      ...data
    } = this;

    const response = await vapi.updateAssistant({
      $,
      assistantId,
      data: clearObj({
        ...data,
        transcriber: parseObject(transcriber),
        model: parseObject(model),
        voice: parseObject(voice),
        clientMessages: parseObject(clientMessages),
        serverMessages: parseObject(serverMessages),
        transportConfigurations: parseObject(transportConfigurations),
        credentials: parseObject(credentials),
        voicemailDetection: parseObject(voicemailDetection),
        endCallPhrases: parseObject(endCallPhrases),
        metadata: parseObject(metadata),
        analysisPlan: parseObject(analysisPlan),
        artifactPlan: parseObject(artifactPlan),
        messagePlan: parseObject(messagePlan),
        startSpeakingPlan: parseObject(startSpeakingPlan),
        stopSpeakingPlan: parseObject(stopSpeakingPlan),
        monitorPlan: parseObject(monitorPlan),
        credentialIds: parseObject(credentialIds),
        server: parseObject(server),
      }),
    });
    $.export("$summary", `Updated assistant ${this.assistantId} successfully`);
    return 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
VapivapiappThis component uses the Vapi app.
Assistant IDassistantIdstringSelect a value from the drop down menu.
Transcribertranscriberobject

A formatted JSON object for the assistant's transcriber. Example: { "provider": "talkscriber", "language": "en", "model": "whisper" }. See the documentation for further details

Modelmodelobject

A formatted JSON object for the assistant's LLM. Example: {"provider": "xai", "model": "grok-beta", "emotionRecognitionEnabled": true, "knowledgeBase": {"server": {"url": "url", "timeoutSeconds": 20}}, "knowledgeBaseId": "model", "maxTokens": 1.1, "messages": [{"role": "assistant"}], "numFastTurns": 1.1, "temperature": 1.1, "toolIds": ["model"], "tools": [{"type": "transferCall", "async": false}]}. See the documentation for further details

Voicevoiceobject

A formatted JSON object for the assistant's voice. Example: {"provider":"tavus","voiceId":"r52da2535a","callbackUrl":"voice","chunkPlan":{"enabled":true,"minCharacters":30,"punctuationBoundaries":["。",",",".","!","?",";","،",",","।","॥","|","||",",",":"],"formatPlan":{"enabled":true,"numberToDigitsCutoff":2025}},"conversationName":"voice","conversationalContext":"voice","customGreeting":"voice","fallbackPlan":{"voices":[{"provider":"tavus","voiceId":"r52da2535a"}]},"personaId":"voice","properties":{"maxCallDuration":1.1,"participantLeftTimeout":1.1,"participantAbsentTimeout":1.1,"enableRecording":true,"enableTranscription":true,"applyGreenscreen":true,"language":"language","recordingS3BucketName":"recordingS3BucketName","recordingS3BucketRegion":"recordingS3BucketRegion","awsAssumeRoleArn":"awsAssumeRoleArn"}}. See the documentation for further details

First MessagefirstMessagestring

The first message the assistant will say or a URL to an audio file. If unspecified, assistant will wait for user to speak and use the model to respond once they speak.

First Message ModefirstMessageModestringSelect a value from the drop down menu:{ "label": "Assistant Speaks First", "value": "assistant-speaks-first" }{ "label": "Assistant Waits for User", "value": "assistant-waits-for-user" }{ "label": "Assistant Speaks First with Model Generated Message", "value": "assistant-speaks-first-with-model-generated-message" }
HIPAA EnabledhipaaEnabledboolean

When this is enabled, no logs, recordings, or transcriptions will be stored. At the end of the call, you will still receive an end-of-call-report message to store on your server.

Client MessagesclientMessagesstring[]Select a value from the drop down menu:conversation-updatefunction-callfunction-call-resulthanglanguage-changedmetadatamodel-outputspeech-updatestatus-updatetranscripttool-callstool-calls-resulttransfer-updateuser-interruptedvoice-input
Server MessagesserverMessagesstring[]Select a value from the drop down menu:conversation-updateend-of-call-reportfunction-callhanglanguage-changedlanguage-change-detectedmodel-outputphone-call-controlspeech-updatestatus-updatetranscripttranscript[transcriptType="final"]tool-callstransfer-destination-requesttransfer-updateuser-interruptedvoice-input
Silence Timeout SecondssilenceTimeoutSecondsinteger

How many seconds of silence to wait before ending the call.

Max Duration SecondsmaxDurationSecondsinteger

This is the maximum number of seconds that the call will last. When the call reaches this duration, it will be ended.

Background SoundbackgroundSoundstringSelect a value from the drop down menu:{ "label": "Office", "value": "office" }{ "label": "Off", "value": "off" }
Background Denoising EnabledbackgroundDenoisingEnabledboolean

This enables filtering of noise and background speech while the user is talking. Default false while in beta.

Model Output in Messages EnabledmodelOutputInMessagesEnabledboolean

This determines whether the model's output is used in conversation history rather than the transcription of assistant's speech. Default false while in beta.

Transport ConfigurationstransportConfigurationsstring[]

These are the configurations to be passed to the transport providers of assistant's calls, like Twilio. You can store multiple configurations for different transport providers. For a call, only the configuration matching the call transport provider is used. Example: [{"provider":"twilio","timeout":60,"record":false,"recordingChannels":"mono"}]. See the documentation for further details

Credentialscredentialsstring[]

These are dynamic credentials that will be used for the assistant calls. By default, all the credentials are available for use in the call but you can supplement an additional credentials using this. Dynamic credentials override existing credentials. Example: [{"provider":"xai","apiKey":"credentials","name":"credentials"}]. See the documentation for further details

Namenamestring

Name of the assistant. This is required when you want to transfer between assistants in a call.

Voicemail DetectionvoicemailDetectionobject

These are the settings to configure or disable voicemail detection. Alternatively, voicemail detection can be configured using the model.tools=[VoicemailTool]. This uses Twilio's built-in detection while the VoicemailTool relies on the model to detect if a voicemail was reached. You can use neither of them, one of them, or both of them. By default, Twilio built-in detection is enabled while VoicemailTool is not. Example: {"provider":"twilio","voicemailDetectionTypes":["machine_end_beep","machine_end_silence"],"enabled":true,"machineDetectionTimeout":1.1,"machineDetectionSpeechThreshold":1.1,"machineDetectionSpeechEndThreshold":1.1,"machineDetectionSilenceTimeout":1.1}. See the documentation for further details

Voicemail MessagevoicemailMessagestring

This is the message that the assistant will say if the call is forwarded to voicemail. If unspecified, it will hang up

End Call MessageendCallMessagestring

This is the message that the assistant will say if it ends the call. If unspecified, it will hang up without saying anything

End Call PhrasesendCallPhrasesstring[]

A list containing phrases that, if spoken by the assistant, will trigger the call to be hung up. Case insensitive.

Metadatametadataobject

This is for metadata you want to store on the assistant.

Analysis PlananalysisPlanobject

This is the plan for analysis of assistant's calls. Stored in call.analysis. Example: {"summaryPlan":{"messages":[{"key":"value"}],"enabled":true,"timeoutSeconds":1.1},"structuredDataPlan":{"messages":[{"key":"value"}],"enabled":true,"schema":{"type":"string"},"timeoutSeconds":1.1},"successEvaluationPlan":{"rubric":"NumericScale","messages":[{"key":"value"}],"enabled":true,"timeoutSeconds":1.1}}. See the documentation for further details

Artifact PlanartifactPlanobject

This is the plan for artifacts generated during assistant's calls. Stored in call.artifact. Note: recordingEnabled is currently at the root level. It will be moved to artifactPlan in the future, but will remain backwards compatible. Example: {"recordingEnabled":true,"videoRecordingEnabled":false,"transcriptPlan":{"enabled":true,"assistantName":"assistantName","userName":"userName"},"recordingPath":"recordingPath"}. See the documentation for further details

Message PlanmessagePlanobject

This is the plan for static predefined messages that can be spoken by the assistant during the call, like idleMessages. Note: firstMessage, voicemailMessage, and endCallMessage are currently at the root level. They will be moved to messagePlan in the future, but will remain backwards compatible. Example: {"idleMessages":["idleMessages"],"idleMessageMaxSpokenCount":1.1,"idleTimeoutSeconds":1.1}. See the documentation for further details

Start Speaking PlanstartSpeakingPlanobject

This is the plan for when the assistant should start talking. Example: {"waitSeconds":0.4,"smartEndpointingEnabled":false,"customEndpointingRules":[{"type":"both","assistantRegex":"customEndpointingRules","customerRegex":"customEndpointingRules","timeoutSeconds":1.1}],"transcriptionEndpointingPlan":{"onPunctuationSeconds":0.1,"onNoPunctuationSeconds":1.5,"onNumberSeconds":0.5}}. See the documentation for further details

Stop Speaking PlanstopSpeakingPlanobject

This is the plan for when assistant should stop talking on customer interruption. Example: {"numWords":0,"voiceSeconds":0.2,"backoffSeconds":1}. See the documentation for further details

Monitor PlanmonitorPlanobject

This is the plan for real-time monitoring of the assistant's calls. Note: serverMessages, clientMessages, serverUrl and serverUrlSecret are currently at the root level but will be moved to monitorPlan in the future. Will remain backwards compatible. Example: {"listenEnabled":false,"controlEnabled":false}. See the documentation for further details

Credential IDscredentialIdsstring[]

These are the credentials that will be used for the assistant calls. By default, all the credentials are available for use in the call but you can provide a subset using this.

Serverserverobject

This is where Vapi will send webhooks. You can find all webhooks available along with their shape in ServerMessage schema. Example: {"url":"url","timeoutSeconds":20,"secret":"secret","headers":{"key":"value"}}. See the documentation for further details

Action Authentication

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

About Vapi

Vapi is the platform to build, test and deploy voicebots in minutes rather than months.

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