Send Completion Request with OpenRouter API on Card Due Date Reminder from Pipedream API

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

Trigger workflow on

Card Due Date Reminder from the Pipedream API

Next, do this

Send Completion Request with the OpenRouter API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

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

Developers ♥ Pipedream

Getting Started#

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

Select this integration
Configure the Card Due Date Reminder trigger
1. Connect your Pipedream account
2. Connect your Pipedream account
3. Select a Board
4. Select a Time Before
Configure the Send Completion Request action
1. Connect your OpenRouter account
2. Select a Model
3. Configure Prompt
4. Optional- Configure Max Tokens
5. Optional- Configure Temperature
6. Optional- Configure Seed
7. Optional- Configure Top P
8. Optional- Configure Top K
9. Optional- Configure Frequency Penalty
10. Optional- Configure Presence Penalty
11. Optional- Configure Repetition Penalty
12. Optional- Configure Logit Bias
13. Optional- Configure Top Logprobs
14. Optional- Configure Min P
15. Optional- Configure Top A
16. Optional- Configure Transforms
17. Select one or more Models
18. Optional- Configure Sort
19. Optional- Select a Reasoning Effort
20. Optional- Configure Reasoning Max Tokens
21. Optional- Configure Reasoning Exclude
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#

Card Due Date Reminder on Pipedream

Description:Emit new event at a specified time before a card is due.

Version:0.1.1

Key:trello-card-due-date-reminder

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 taskScheduler from "../../../pipedream/sources/new-scheduled-tasks/new-scheduled-tasks.mjs";
import trello from "../../trello.app.mjs";
import ms from "ms";
import constants from "../../common/constants.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "trello-card-due-date-reminder",
  name: "Card Due Date Reminder", /* eslint-disable-line pipedream/source-name */
  description: "Emit new event at a specified time before a card is due.",
  version: "0.1.1",
  type: "source",
  dedupe: "unique",
  props: {
    pipedream: taskScheduler.props.pipedream,
    trello,
    db: "$.service.db",
    http: "$.interface.http",
    board: {
      propDefinition: [
        trello,
        "board",
      ],
    },
    timeBefore: {
      type: "string",
      label: "Time Before",
      description: "How far before the due time the event should trigger. For example, `5 minutes`, `10 minutes`, `1 hour`.",
      default: "5 minutes",
      options: constants.NOTIFICATION_TIMES,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.timeBefore) {
      props.timer = {
        type: "$.interface.timer",
        description: "Poll the API to schedule alerts for any newly created events",
        default: {
          intervalSeconds: ms(this.timeBefore) / 1000,
        },
      };
    }
    return props;
  },
  hooks: {
    async deactivate() {
      const ids = this._getScheduledEventIds();
      if (!ids?.length) {
        return;
      }
      for (const id of ids) {
        if (await this.deleteEvent({
          body: {
            id,
          },
        })) {
          console.log("Cancelled scheduled event");
        }
      }
      this._setScheduledEventIds();
    },
  },
  methods: {
    ...taskScheduler.methods,
    generateMeta({
      id, name: summary,
    }, now) {
      return {
        id,
        summary,
        ts: now,
      };
    },
    _getScheduledEventIds() {
      return this.db.get("scheduledEventIds");
    },
    _setScheduledEventIds(ids) {
      this.db.set("scheduledEventIds", ids);
    },
    _getScheduledCardIds() {
      return this.db.get("scheduledCardIds");
    },
    _setScheduledCardIds(ids) {
      this.db.set("scheduledCardIds", ids);
    },
    _hasDeployed() {
      const result = this.db.get("hasDeployed");
      this.db.set("hasDeployed", true);
      return result;
    },
    emitEvent(card, now) {
      const meta = this.generateMeta(card, now);
      this.$emit(card, meta);
    },
  },
  async run(event) {
    const now = event.timestamp * 1000;

    // self subscribe only on the first time
    if (!this._hasDeployed()) {
      await this.selfSubscribe();
    }

    let scheduledEventIds = this._getScheduledEventIds() || [];

    // incoming scheduled event
    if (event.$channel === this.selfChannel()) {
      const remainingScheduledEventIds = scheduledEventIds.filter((id) => id !== event["$id"]);
      this._setScheduledEventIds(remainingScheduledEventIds);
      this.emitEvent(event, now);
      return;
    }

    // schedule new events
    const scheduledCardIds = this._getScheduledCardIds() || {};
    const cards = await this.trello.getCards({
      boardId: this.board,
    });

    for (const card of cards) {
      const dueDate = card.due
        ? new Date(card.due)
        : null;
      if (!dueDate || dueDate.getTime() < Date.now()) {
        delete scheduledCardIds[card.id];
        continue;
      }

      const later = new Date(dueDate.getTime() - ms(this.timeBefore));

      if (scheduledCardIds[card.id]) {
        // reschedule if card's due date has changed
        if (card.due !== scheduledCardIds[card.id].dueDate) {
          await this.deleteEvent({
            body: {
              id: scheduledCardIds[card.id].eventId,
            },
          });
          scheduledEventIds = scheduledEventIds
            .filter((id) => id !== scheduledCardIds[card.id].eventId);
        } else {
          continue;
        }
      }

      const scheduledEventId = this.emitScheduleEvent(card, later);
      scheduledEventIds.push(scheduledEventId);
      scheduledCardIds[card.id] = {
        eventId: scheduledEventId,
        dueDate: card.due,
      };
    }
    this._setScheduledEventIds(scheduledEventIds);
    this._setScheduledCardIds(scheduledCardIds);
  },
  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.
Pipedream	`trello`	`app`	This component uses the Pipedream app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
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.
Board	`board`	`string`	Select a value from the drop down menu.
Time Before	`timeBefore`	`string`	Select a value from the drop down menu:`5 minutes10 minutes15 minutes30 minutes1 hour2 hours3 hours6 hours12 hours1 day2 days3 days1 week`

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#

Send Completion Request on OpenRouter

Description:Send a completion request to a selected model (text-only format) [See the documentation](https://openrouter.ai/docs/api-reference/completions)

Version:0.0.1

Key:openrouter-send-completion-request

View on GitHub

Action Code#

import { ConfigurationError } from "@pipedream/platform";
import openrouter from "../../openrouter.app.mjs";

export default {
  key: "openrouter-send-completion-request",
  name: "Send Completion Request",
  version: "0.0.1",
  description: "Send a completion request to a selected model (text-only format) [See the documentation](https://openrouter.ai/docs/api-reference/completions)",
  type: "action",
  props: {
    openrouter,
    model: {
      propDefinition: [
        openrouter,
        "model",
      ],
    },
    prompt: {
      type: "string",
      label: "Prompt",
      description: "The text prompt to complete.",
    },
    maxTokens: {
      propDefinition: [
        openrouter,
        "maxTokens",
      ],
    },
    temperature: {
      propDefinition: [
        openrouter,
        "temperature",
      ],
    },
    seed: {
      propDefinition: [
        openrouter,
        "seed",
      ],
    },
    topP: {
      propDefinition: [
        openrouter,
        "topP",
      ],
    },
    topK: {
      propDefinition: [
        openrouter,
        "topK",
      ],
    },
    frequencyPenalty: {
      propDefinition: [
        openrouter,
        "frequencyPenalty",
      ],
    },
    presencePenalty: {
      propDefinition: [
        openrouter,
        "presencePenalty",
      ],
    },
    repetitionPenalty: {
      propDefinition: [
        openrouter,
        "repetitionPenalty",
      ],
    },
    logitBias: {
      propDefinition: [
        openrouter,
        "logitBias",
      ],
    },
    togLogprobs: {
      propDefinition: [
        openrouter,
        "togLogprobs",
      ],
    },
    minP: {
      propDefinition: [
        openrouter,
        "minP",
      ],
    },
    topA: {
      propDefinition: [
        openrouter,
        "topA",
      ],
    },
    transforms: {
      propDefinition: [
        openrouter,
        "transforms",
      ],
    },
    models: {
      propDefinition: [
        openrouter,
        "model",
      ],
      type: "string[]",
      label: "Models",
      description: "Alternate list of models for routing overrides.",
    },
    sort: {
      propDefinition: [
        openrouter,
        "sort",
      ],
    },
    effort: {
      propDefinition: [
        openrouter,
        "effort",
      ],
    },
    reasoningMaxTokens: {
      propDefinition: [
        openrouter,
        "reasoningMaxTokens",
      ],
    },
    exclude: {
      propDefinition: [
        openrouter,
        "exclude",
      ],
    },
  },
  async run({ $ }) {
    if (this.effort && this.reasoningMaxTokens) {
      throw new ConfigurationError("**Reasoning Effort** and **Reasoning Max Tokens** cannot be used simultaneously.");
    }
    const data = {
      model: this.model,
      prompt: this.prompt,
      stream: false,
      maxTokens: this.maxTokens,
      temperature: this.temperature && parseFloat(this.temperature),
      seed: this.seed,
      topP: this.topP && parseFloat(this.topP),
      topK: this.topK,
      frequencyPenalty: this.frequencyPenalty && parseFloat(this.frequencyPenalty),
      presencePenalty: this.presencePenalty && parseFloat(this.presencePenalty),
      repetitionPenalty: this.repetitionPenalty && parseFloat(this.repetitionPenalty),
      logitBias: this.logitBias,
      togLogprobs: this.togLogprobs,
      minP: this.minP && parseFloat(this.minP),
      topA: this.topA && parseFloat(this.topA),
      transforms: this.transforms,
      models: this.models,
    };
    if (this.sort) {
      data.provider = {
        sort: this.sort,
      };
    }
    const reasoning = {};
    if (this.effort) {
      reasoning.effort =  this.effort;
    }
    if (this.reasoningMaxTokens) {
      reasoning.max_tokens = parseFloat(this.reasoningMaxTokens);
    }
    if (this.exclude) {
      reasoning.exclude =  this.exclude;
    }
    if (Object.entries(reasoning).length) {
      data.reasoning = reasoning;
    }
    const response = await this.openrouter.sendCompetionRequest({
      $,
      data,
      timeout: 1000 * 60 * 5,
    });
    if (response.error) {
      throw new ConfigurationError(response.error.message);
    }
    $.export("$summary", `A new completion request with Id: ${response.id} was successfully created!`);
    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
OpenRouter	`openrouter`	`app`	This component uses the OpenRouter app.
Model	`model`	`string`	Select a value from the drop down menu.
Prompt	`prompt`	`string`	The text prompt to complete.
Max Tokens	`maxTokens`	`integer`	Maximum number of tokens. (range: [1, context_length)).
Temperature	`temperature`	`string`	Sampling temperature. (range: [0, 2]).
Seed	`seed`	`integer`	Seed for deterministic outputs.
Top P	`topP`	`string`	Top-p sampling value. (range: (0, 1]).
Top K	`topK`	`integer`	Top-k sampling value. (range: [1, Infinity)).
Frequency Penalty	`frequencyPenalty`	`string`	Frequency penalty. (range: [-2, 2]).
Presence Penalty	`presencePenalty`	`string`	Presence penalty. (range: [-2, 2]).
Repetition Penalty	`repetitionPenalty`	`string`	Repetition penalty. (range: (0, 2]).
Logit Bias	`logitBias`	`string[]`	A list of token IDs to bias values.
Top Logprobs	`togLogprobs`	`integer`	Number of top log probabilities to return.
Min P	`minP`	`string`	Minimum probability threshold. (range: [0, 1]).
Top A	`topA`	`integer`	Alternate top sampling parameter. (range: [0, 1]).
Transforms	`transforms`	`string[]`	List of prompt transforms (OpenRouter-only).
Models	`models`	`string[]`	Select a value from the drop down menu.
Sort	`sort`	`string`	Sort preference (e.g., price, throughput).
Reasoning Effort	`effort`	`string`	Select a value from the drop down menu:`highmediumlow`
Reasoning Max Tokens	`reasoningMaxTokens`	`string`	Non-OpenAI-style reasoning effort setting. Cannot be used simultaneously with effort.
Reasoning Exclude	`exclude`	`boolean`	Whether to exclude reasoning from the response

Action Authentication#

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

About OpenRouter#

A unified interface for LLMs

More Ways to Connect OpenRouter + Pipedream#

Other Popular Integrations#

Send Chat Completion Request with OpenRouter API on New Scheduled Tasks from Pipedream API

Pipedream + OpenRouter

Try it

Retrieve Available Models with OpenRouter API on New Scheduled Tasks from Pipedream API

Pipedream + OpenRouter

Try it

Send Completion Request with OpenRouter API on New Scheduled Tasks from Pipedream API

Pipedream + OpenRouter

Try it

Retrieve Available Models with OpenRouter API on Card Due Date Reminder from Pipedream API

Pipedream + OpenRouter

Try it

Send Chat Completion Request with OpenRouter API on Card Due Date Reminder from Pipedream API

Pipedream + OpenRouter

Try it

Popular Triggers#

New Scheduled Tasks from the Pipedream API

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

Try it

New Upcoming Event Alert from the Pipedream API

Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.

Try it

Card Due Date Reminder from the Pipedream API

Emit new event at a specified time before a card is due.

Try it

New Upcoming Calendar Event from the Pipedream API

Emit new event when a Calendar event is upcoming, this source is using reminderMinutesBeforeStart property of the event to determine the time it should emit.

Try it