Create Agent with ElevenLabs API on New Scheduled Tasks from Pipedream API

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New Scheduled Tasks from the Pipedream API

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Create Agent with the ElevenLabs API

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Getting Started#

This integration creates a workflow with a Pipedream 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 Scheduled Tasks trigger
1. Connect your Pipedream account
2. Optional- Configure Secret
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 Scheduled Tasks on Pipedream

Description:Exposes an HTTP API for scheduling messages to be emitted at a future time

Version:0.3.1

Key:pipedream-new-scheduled-tasks

View on GitHub

Pipedream Overview#

Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.

Some examples of applications you can build using the Pipedream API include:

An application that can extract data from a database, transform it, and then
load it into another database.
An application that can monitor a data source for changes, and then trigger a
workflow in response to those changes.
An application that can poll an API for new data, and then process that data
in real-time.

Trigger Code#

import pipedream from "../../pipedream.app.mjs";
import sampleEmit from "./test-event.mjs";
import { uuid } from "uuidv4";

export default {
  key: "pipedream-new-scheduled-tasks",
  name: "New Scheduled Tasks",
  type: "source",
  description:
    "Exposes an HTTP API for scheduling messages to be emitted at a future time",
  version: "0.3.1",
  dedupe: "unique", // Dedupe on a UUID generated for every scheduled task
  props: {
    pipedream,
    secret: {
      type: "string",
      secret: true,
      label: "Secret",
      optional: true,
      description:
        "**Optional but recommended**: if you enter a secret here, you must pass this value in the `x-pd-secret` HTTP header when making requests",
    },
    http: {
      label: "Endpoint",
      description: "The endpoint where you'll send task scheduler requests",
      type: "$.interface.http",
      customResponse: true,
    },
    db: "$.service.db",
  },
  methods: {
    // To schedule future emits, we emit to the selfChannel of the component
    selfChannel() {
      return "self";
    },
    // Queue for future emits that haven't yet been delivered
    queuedEventsChannel() {
      return "$in";
    },
    httpRespond({
      status, body,
    }) {
      this.http.respond({
        headers: {
          "content-type": "application/json",
        },
        status,
        body,
      });
    },
    async selfSubscribe() {
      // Subscribe the component to itself. We do this here because even in
      // the activate hook, the component isn't available to take subscriptions.
      // Scheduled tasks are sent to the self channel, which emits the message at
      // the specified delivery_ts to this component.
      const isSubscribedToSelf = this.db.get("isSubscribedToSelf");
      if (!isSubscribedToSelf) {
        const componentId = process.env.PD_COMPONENT;
        const selfChannel = this.selfChannel();
        console.log(`Subscribing to ${selfChannel} channel for event source`);
        console.log(
          await this.pipedream.subscribe(componentId, componentId, selfChannel),
        );
        this.db.set("isSubscribedToSelf", true);
      }
    },
    validateEventBody(event, operation) {
      const errors = [];

      // Secrets are optional, so we first check if the user configured
      // a secret, then check its value against the prop (validation below)
      if (this.secret && event.headers["x-pd-secret"] !== this.secret) {
        errors.push(
          "Secret on incoming request doesn't match the configured secret",
        );
      }

      if (operation === "schedule") {
        const {
          timestamp,
          message,
        } = event.body;
        // timestamp should be an ISO 8601 string. Parse and check for validity below.
        const epoch = Date.parse(timestamp);

        if (!timestamp) {
          errors.push(
            "No timestamp included in payload. Please provide an ISO8601 timestamp in the 'timestamp' field",
          );
        }
        if (timestamp && !epoch) {
          errors.push("Timestamp isn't a valid ISO 8601 string");
        }
        if (!message) {
          errors.push("No message passed in payload");
        }
      }

      return errors;
    },
    scheduleTask(event) {
      const errors = this.validateEventBody(event, "schedule");
      let status, body;

      if (errors.length) {
        console.log(errors);
        status = 400;
        body = {
          errors,
        };
      } else {
        const id = this.emitScheduleEvent(event.body, event.body.timestamp);
        status = 200;
        body = {
          msg: "Successfully scheduled task",
          id,
        };
      }

      this.httpRespond({
        status,
        body,
      });
    },
    emitScheduleEvent(event, timestamp) {
      const selfChannel = this.selfChannel();
      const epoch = Date.parse(timestamp);
      const $id = uuid();

      console.log(`Scheduled event to emit on: ${new Date(epoch)}`);

      this.$emit(
        {
          ...event,
          $channel: selfChannel,
          $id,
        },
        {
          name: selfChannel,
          id: $id,
          delivery_ts: epoch,
        },
      );

      return $id;
    },
    async cancelTask(event) {
      const errors = this.validateEventBody(event, "cancel");
      let status, msg;

      if (errors.length) {
        console.log(errors);
        status = 400;
        msg = "Secret on incoming request doesn't match the configured secret";
      } else {
        try {
          const id = event.body.id;
          const isCanceled = await this.deleteEvent(event);
          if (isCanceled) {
            status = 200;
            msg = `Cancelled scheduled task for event ${id}`;
          } else {
            status = 404;
            msg = `No event with ${id} found`;
          }
        } catch (error) {
          console.log(error);
          status = 500;
          msg = "Failed to schedule task. Please see the logs";
        }
      }

      this.httpRespond({
        status,
        body: {
          msg,
        },
      });
    },
    async deleteEvent(event) {
      const componentId = process.env.PD_COMPONENT;
      const inChannel = this.queuedEventsChannel();

      // The user must pass a scheduled event UUID they'd like to cancel
      // We lookup the event by ID and delete it
      const { id } = event.body;

      // List events in the $in channel - the queue of scheduled events, to be emitted in the future
      const events = await this.pipedream.listEvents(
        componentId,
        inChannel,
      );
      console.log("Events: ", events);

      // Find the event in the list by id
      const eventToCancel = events.data.find((e) => {
        const { metadata } = e;
        return metadata.id === id;
      });

      console.log("Event to cancel: ", eventToCancel);

      if (!eventToCancel) {
        console.log(`No event with ${id} found`);
        return false;
      }

      // Delete the event
      await this.pipedream.deleteEvent(
        componentId,
        eventToCancel.id,
        inChannel,
      );
      return true;
    },
    emitEvent(event, summary) {
      // Delete the channel name and id from the incoming event, which were used only as metadata
      const id = event.$id;
      delete event.$channel;
      delete event.$id;

      this.$emit(event, {
        summary: summary ?? JSON.stringify(event),
        id,
        ts: +new Date(),
      });
    },
  },
  async run(event) {
    await this.selfSubscribe();

    const { path } = event;
    if (path === "/schedule") {
      this.scheduleTask(event);
    } else if (path === "/cancel") {
      await this.cancelTask(event);
    } else if (event.$channel === this.selfChannel()) {
      this.emitEvent(event);
    }
  },
  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.

Label	Prop	Type	Description
Pipedream	`pipedream`	`app`	This component uses the Pipedream app.
Secret	`secret`	`string`	Optional but recommended: if you enter a secret here, you must pass this value in the `x-pd-secret` HTTP header when making requests
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.

Trigger Authentication#

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

About Pipedream#

Integration platform for developers

Action#

Create Agent on ElevenLabs

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

Version:0.0.1

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: "0.0.1",
  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,

Navigate to your ElevenLabs account and sign in
Click the dropdown on the top right
Go to “Profile” > “API Key”

About ElevenLabs#

Research lab exploring new frontiers of Voice AI. Deploying tools for prime long-form synthetic speech, voice cloning and automatic dubbing.

More Ways to Connect ElevenLabs + Pipedream#

Other Popular Integrations#

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Create Agent with ElevenLabs API on New Scheduled Tasks from Pipedream API

Pipedream makes it easy to connect APIs for ElevenLabs, Pipedream and 2,500+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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