Create Agent with ElevenLabs API on New Pub/Sub Messages from Google Cloud API

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New Pub/Sub Messages from the Google Cloud API

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Create Agent with the ElevenLabs API

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Getting Started#

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

Select this integration
Configure the New Pub/Sub Messages trigger
1. Connect your Google Cloud account
2. Select a Type
Configure the Create Agent action
1. Connect your ElevenLabs account
2. Configure Prompt
3. Optional- Configure Name
4. Optional- Select a LLM
5. Optional- Configure Temperature
6. Optional- Configure Max Tokens
7. Optional- Configure First Message
8. Optional- Configure Language
9. Optional- Configure Max Duration in Seconds
10. Optional- Configure Turn Timeout
11. Optional- Select a Voice ID
12. Optional- Select a TTS Model ID
Deploy the workflow
Send a test event to validate your setup
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#

New Pub/Sub Messages on Google Cloud

Description:Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Pipedream source.

Version:0.1.6

Key:google_cloud-new-pubsub-messages

View on GitHub

Google Cloud Overview#

The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.

Trigger Code#

import { PubSub } from "@google-cloud/pubsub";
import googleCloud from "../../google_cloud.app.mjs";

export default {
  key: "google_cloud-new-pubsub-messages",
  name: "New Pub/Sub Messages",
  description: "Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Pipedream source.",
  version: "0.1.6",
  type: "source",
  dedupe: "unique", // Dedupe on Pub/Sub message ID
  props: {
    googleCloud,
    http: "$.interface.http",
    db: "$.service.db",
    topicType: {
      type: "string",
      label: "Type",
      description: "Do you have an existing Pub/Sub topic, or would you like to create a new one?",
      options: [
        "existing",
        "new",
      ],
      reloadProps: true,
    },
  },
  async additionalProps() {
    const topic = {
      type: "string",
      label: "Pub/Sub Topic Name",
      description: "Select a Pub/Sub topic from your GCP account to watch",
      options: async () => {
        return this.getTopics();
      },
    };
    if (this.topicType === "new") {
      topic.description = "**Pipedream will create a Pub/Sub topic with this name in your account**, converting it to a [valid Pub/Sub topic name](https://cloud.google.com/pubsub/docs/admin#resource_names).";
      delete topic.options;
    }
    return {
      topic,
    };
  },
  methods: {
    _getTopicName() {
      return this.db.get("topicName");
    },
    _setTopicName(topicName) {
      this.db.set("topicName", topicName);
    },
    _getSubscriptionName() {
      return this.db.get("subscriptionName");
    },
    _setSubscriptionName(subscriptionName) {
      this.db.set("subscriptionName", subscriptionName);
    },
    async getTopics() {
      const sdkParams = this.googleCloud.sdkParams();
      const pubSubClient = new PubSub(sdkParams);
      const topics = (await pubSubClient.getTopics())[0];
      if (topics.length > 0) {
        return topics.map((topic) => topic.name);
      }
      return [];
    },
    convertNameToValidPubSubTopicName(name) {
      // For valid names, see https://cloud.google.com/pubsub/docs/admin#resource_names
      return name
        // Must not start with `goog`. We add a `pd-` at the beginning if that's the case.
        .replace(/(^goog.*)/g, "pd-$1")
        // Must start with a letter, otherwise we add `pd-` at the beginning.
        .replace(/^(?![a-zA-Z]+)/, "pd-")
        // Only certain characters are allowed, the rest will be replaced with a `-`.
        .replace(/[^a-zA-Z0-9_\-.~+%]+/g, "-");
    },
  },
  hooks: {
    async activate() {
      const sdkParams = this.googleCloud.sdkParams();
      const pubSubClient = new PubSub(sdkParams);

      const currentTopic = {
        name: this.topic,
      };
      if (this.topicType === "new") {
        const topicName = this.convertNameToValidPubSubTopicName(this.topic);
        console.log(`Creating Pub/Sub topic ${topicName}`);
        const [
          topic,
        ] = await pubSubClient.createTopic(topicName);
        currentTopic.name = topic.name;
      }
      this._setTopicName(currentTopic.name);

      const pushEndpoint = this.http.endpoint;
      const subscriptionName = this.convertNameToValidPubSubTopicName(pushEndpoint);
      const subscriptionOptions = {
        pushConfig: {
          pushEndpoint,
        },
      };
      console.log(
        `Subscribing this source's URL to the Pub/Sub topic: ${pushEndpoint}
        (under name ${subscriptionName}).`,
      );
      const [
        subscriptionResult,
      ] = await pubSubClient
        .topic(currentTopic.name)
        .createSubscription(subscriptionName, subscriptionOptions);
      this._setSubscriptionName(subscriptionResult.name);
    },
    async deactivate() {
      const sdkParams = this.googleCloud.sdkParams();
      const pubSubClient = new PubSub(sdkParams);

      const subscriptionName = this._getSubscriptionName();
      if (subscriptionName) {
        await pubSubClient.subscription(subscriptionName).delete();
      }

      if (this.topicType === "new") {
        const topicName = this._getTopicName();
        if (topicName) {
          await pubSubClient.topic(topicName).delete();
        }
      }
    },
  },
  async run(event) {
    const {
      data,
      messageId,
      publishTime,
    } = event.body.message;

    if (!data) {
      console.warn("No message present, exiting");
      return;
    }
    const dataString = Buffer.from(data, "base64").toString("utf-8");
    const metadata = {
      id: messageId,
      summary: dataString,
      ts: +new Date(publishTime),
    };

    let dataObj;
    try {
      dataObj = JSON.parse(dataString);
    } catch (err) {
      console.error(
        `Couldn't parse message as JSON. Emitting raw message. Error: ${err}`,
      );
      dataObj = {
        rawMessage: dataString,
      };
    }
    this.$emit(dataObj, metadata);
  },
};

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.

Label	Prop	Type	Description
Google Cloud	`googleCloud`	`app`	This component uses the Google Cloud app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Type	`topicType`	`string`	Select a value from the drop down menu:`existingnew`

Trigger Authentication#

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

Create a service account in GCP and set the permissions you need for Pipedream workflows.
Generate a service account key
Download the key details in JSON format
Upload the key below.

About Google Cloud#

The Google Cloud Platform, including BigQuery

Action#

Create Agent on ElevenLabs

Description:Create an agent in Eleventlabs. [See the documentation](https://elevenlabs.io/docs/api-reference/agents/create-agent)

Version:0.0.2

Key:elevenlabs-create-agent

View on GitHub

ElevenLabs Overview#

The ElevenLabs API offers text-to-speech capabilities with realistic voice synthesis. Integrating this API on Pipedream allows you to build automated workflows that convert text content into spoken audio files. You can trigger these conversions from various events, process the text data, send it to the ElevenLabs API, and handle the audio output—all within a serverless environment.

Action Code#

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

export default {
  key: "elevenlabs-create-agent",
  name: "Create Agent",
  description: "Create an agent in Eleventlabs. [See the documentation](https://elevenlabs.io/docs/api-reference/agents/create-agent)",
  version: "0.0.2",
  type: "action",
  props: {
    elevenlabs,
    prompt: {
      type: "string",
      label: "Prompt",
      description: "The prompt for the agent",
    },
    name: {
      type: "string",
      label: "Name",
      description: "A name to make the agent easier to find",
      optional: true,
    },
    llm: {
      type: "string",
      label: "LLM",
      description: "The LLM to query with the prompt and the chat history",
      options: [
        "gpt-4o-mini",
        "gpt-4o",
        "gpt-4",
        "gpt-4-turbo",
        "gpt-3.5-turbo",
        "gemini-1.5-pro",
        "gemini-1.5-flash",
        "gemini-2.0-flash-001",
        "gemini-2.0-flash-lite",
        "gemini-1.0-pro",
        "claude-3-7-sonnet",
        "claude-3-5-sonnet",
      ],
      optional: true,
    },
    temperature: {
      type: "string",
      label: "Temperature",
      description: "The temperature for the LLM. Defaults to `0`",
      optional: true,
    },
    maxTokens: {
      type: "integer",
      label: "Max Tokens",
      description: "If greater than 0, maximum number of tokens the LLM can predict",
      optional: true,
    },
    firstMessage: {
      type: "string",
      label: "First Message",
      description: "If non-empty, the first message the agent will say. If empty, the agent waits for the user to start the discussion.",
      optional: true,
    },
    language: {
      type: "string",
      label: "Language",
      description: "Language of the agent - used for ASR and TTS. Defaults to `en`",
      optional: true,
    },
    maxDurationSeconds: {
      type: "integer",
      label: "Max Duration in Seconds",
      description: "The maximum duration of a conversation in seconds. Defaults to `600`",
      optional: true,
    },
    turnTimeout: {
      type: "string",
      label: "Turn Timeout",
      description: "Maximum wait time for the user’s reply before re-engaging the user. Defaults to `7`",
      optional: true,
    },
    voiceId: {
      propDefinition: [
        elevenlabs,
        "voiceId",
      ],
      description: "The voice ID to use for TTS",
      optional: true,
    },
    ttsModelId: {
      type: "string",
      label: "TTS Model ID",
      description: "The model to use for TTS",
      options: [
        "eleven_turbo_v2",
        "eleven_turbo_v2_5",
        "eleven_flash_v2",
        "eleven_flash_v2_5",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.elevenlabs.createAgent({
      $,
      data: {
        conversation_config: {
          conversation: {
            max_duration_seconds: this.maxDurationSeconds,
          },
          turn: {
            turn_timeout: this.turnTimeout && +this.turnTimeout,
          },
          agent: {
            first_message: this.firstMessage,
            language: this.language,
            prompt: {
              prompt: this.prompt,
              llm: this.llm,
              temperature: this.temperature && +this.temperature,
              max_tokens: this.maxTokens,
            },
          },
          tts: {
            voice_id: this.voiceId,
            model_id: this.ttsModelId,
          },
        },
        name: this.name,
      },
    });
    if (response?.agent_id) {
      $.export("$summary", `Successfully created agent with ID: ${response.agent_id}`);
    }
    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.

Label	Prop	Type	Description
ElevenLabs	`elevenlabs`	`app`	This component uses the ElevenLabs app.
Prompt	`prompt`	`string`	The prompt for the agent
Name	`name`	`string`	A name to make the agent easier to find
LLM	`llm`	`string`	Select a value from the drop down menu:`gpt-4o-minigpt-4ogpt-4gpt-4-turbogpt-3.5-turbogemini-1.5-progemini-1.5-flashgemini-2.0-flash-001gemini-2.0-flash-litegemini-1.0-proclaude-3-7-sonnetclaude-3-5-sonnet`
Temperature	`temperature`	`string`	The temperature for the LLM. Defaults to `0`
Max Tokens	`maxTokens`	`integer`	If greater than 0, maximum number of tokens the LLM can predict
First Message	`firstMessage`	`string`	If non-empty, the first message the agent will say. If empty, the agent waits for the user to start the discussion.
Language	`language`	`string`	Language of the agent - used for ASR and TTS. Defaults to `en`
Max Duration in Seconds	`maxDurationSeconds`	`integer`	The maximum duration of a conversation in seconds. Defaults to `600`
Turn Timeout	`turnTimeout`	`string`	Maximum wait time for the user’s reply before re-engaging the user. Defaults to `7`
Voice ID	`voiceId`	`string`	Select a value from the drop down menu.
TTS Model ID	`ttsModelId`	`string`	Select a value from the drop down menu:`eleven_turbo_v2eleven_turbo_v2_5eleven_flash_v2eleven_flash_v2_5`

Action Authentication#

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

To retrieve your API Key,