Chat with Anthropic (Claude) API on Watch Completed Conversion Jobs from Zamzar API

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Watch Completed Conversion Jobs from the Zamzar API

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Chat with the Anthropic (Claude) API

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Getting Started#

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

Select this integration
Configure the Watch Completed Conversion Jobs trigger
1. Connect your Zamzar account
2. Configure Polling schedule
Configure the Chat action
1. Connect your Anthropic (Claude) account
2. Select a Model
3. Configure User Message
4. Optional- Configure Prior Message History
5. Optional- Configure Temperature
6. Optional- Configure Top K
7. Optional- Configure Top P
8. Configure Maximum Tokens To Sample
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#

Watch Completed Conversion Jobs on Zamzar

Description:Emit new event as soon as a conversion job has been completed. [See the documentation](https://developers.zamzar.com/docs)

Version:0.0.2

Key:zamzar-watch-completed-conversion-jobs

View on GitHub

Zamzar Overview#

The Zamzar API on Pipedream provides powerful file conversion capabilities, allowing you to easily automate the process of converting files between different formats. With Pipedream's serverless platform, you can set up workflows that trigger conversions, handle the completed files, and integrate with other services for a seamless automation experience. From document conversion for data analysis to prepping media files for different platforms, Zamzar's API coupled with Pipedream's robust functionality opens up a world of possibilities for streamlining tasks.

Trigger Code#

import common from "../common/polling.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "zamzar-watch-completed-conversion-jobs",
  name: "Watch Completed Conversion Jobs",
  description: "Emit new event as soon as a conversion job has been completed. [See the documentation](https://developers.zamzar.com/docs)",
  version: "0.0.2",
  type: "source",
  dedupe: "greatest",
  methods: {
    ...common.methods,
    processLastResource(resource) {
      this.setCursor(resource.id);
    },
    isResourceRelevant(resource) {
      return resource.status === "successful";
    },
    getListResourcesFn() {
      return this.app.listJobs;
    },
    getListResourcesFnArgs() {
      return {
        params: {
          before: this.getCursor(),
        },
      };
    },
    generateMeta(resource) {
      return {
        id: resource.id,
        summary: `Completed Job: ${resource.id}`,
        ts: Date.parse(resource.created_at),
      };
    },
  },
  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
Zamzar	`app`	`app`	This component uses the Zamzar app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling schedule	`timer`	`$.interface.timer`	How often to poll the API

Trigger Authentication#

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

About Zamzar#

Online file conversion website.

Action#

Chat on Anthropic (Claude)

Description:The Chat API. [See the documentation](https://docs.anthropic.com/claude/reference/messages_post)

Version:0.1.0

Key:anthropic-chat

View on GitHub

Anthropic (Claude) Overview#

The Anthropic (Claude) API offers a conversational AI that can be leveraged for a variety of applications, ranging from answering questions to generating content or providing customer support. In Pipedream, you can create powerful workflows that utilize the capabilities of Claude to automate responses, analyze text, or enhance data with AI-generated insights. Pipedream's serverless platform simplifies integrating Claude into your processes with other apps and services for seamless automation.

Action Code#

import anthropic from "../../anthropic.app.mjs";
import constants from "../common/constants.mjs";

export default {
  name: "Chat",
  version: "0.1.0",
  key: "anthropic-chat",
  description: "The Chat API. [See the documentation](https://docs.anthropic.com/claude/reference/messages_post)",
  type: "action",
  props: {
    anthropic,
    model: {
      label: "Model",
      description: "Select the model to use for your query. Defaults to the latest Claude model - [see the documentation](https://docs.anthropic.com/en/docs/about-claude/models/overview) for more information",
      type: "string",
      options: constants.MESSAGE_MODELS,
      default: constants.MESSAGE_MODELS[0].value,
    },
    userMessage: {
      label: "User Message",
      type: "string",
      description: "The user messages provide instructions to the assistant",
    },
    messages: {
      label: "Prior Message History",
      type: "string[]",
      description: "All relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here always beginning with the human message.",
      optional: true,
    },
    temperature: {
      label: "Temperature",
      description: "**Optional**. Amount of randomness injected into the response. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and temp closer to 1 for creative and generative tasks.",
      type: "string",
      optional: true,
    },
    topK: {
      label: "Top K",
      description: "Only sample from the top K options for each subsequent token. Used to remove `long tail` low probability responses.",
      type: "integer",
      optional: true,
    },
    topP: {
      label: "Top P",
      description: "Does nucleus sampling, in which we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified.",
      type: "string",
      optional: true,
    },
    maxTokensToSample: {
      label: "Maximum Tokens To Sample",
      description: "A maximum number of tokens to generate before stopping.",
      type: "integer",
    },
  },
  async run({ $ }) {
    const messages = [];

    const priorMessages = typeof this.messages === "string"
      ? JSON.parse(this.messages)
      : this.messages;

    if (priorMessages?.length) {
      let isUserMessage = true;

      for (const message of priorMessages) {
        messages.push({
          role: isUserMessage
            ? "user"
            : "assistant",
          content: message,
        });

        isUserMessage = !isUserMessage;
      }
    }

    messages.push({
      role: "user",
      content: this.userMessage,
    });

    const response = await this.anthropic.createMessage({
      $,
      data: {
        messages,
        model: this.model,
        max_tokens: this.maxTokensToSample,
        temperature: this.temperature
          ? parseFloat(this.temperature)
          : undefined,
        top_p: this.topP
          ? parseFloat(this.topP)
          : undefined,
        top_k: this.topK,
      },
    });

    if (response) {
      $.export("$summary", `Successfully sent message with ID ${response.id}`);
    }

    const originalMessages = messages.map(({ content }) => content);
    return {
      original_messages: originalMessages,
      original_messages_with_assistant_response: originalMessages.concat(response.content[0].text),
      ...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
Anthropic (Claude)	`anthropic`	`app`	This component uses the Anthropic (Claude) app.
Model	`model`	`string`	Select a value from the drop down menu:`{ "label": "Claude Opus 4", "value": "claude-opus-4-20250514" }{ "label": "Claude Sonnet 4", "value": "claude-sonnet-4-20250514" }{ "label": "Claude Sonnet 3.7", "value": "claude-3-7-sonnet-20250219" }{ "label": "Claude Sonnet 3.5 v2", "value": "claude-3-5-sonnet-20241022" }{ "label": "Claude Haiku 3.5", "value": "claude-3-5-haiku-20241022" }{ "label": "Claude Sonnet 3.5", "value": "claude-3-5-sonnet-20240620" }{ "label": "Claude Opus 3", "value": "claude-3-opus-20240229" }{ "label": "Claude Sonnet 3", "value": "claude-3-sonnet-20240229" }{ "label": "Claude Haiku 3", "value": "claude-3-haiku-20240307" }`
User Message	`userMessage`	`string`	The user messages provide instructions to the assistant
Prior Message History	`messages`	`string[]`	All relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here always beginning with the human message.
Temperature	`temperature`	`string`	Optional. Amount of randomness injected into the response. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and temp closer to 1 for creative and generative tasks.
Top K	`topK`	`integer`	Only sample from the top K options for each subsequent token. Used to remove `long tail` low probability responses.
Top P	`topP`	`string`	Does nucleus sampling, in which we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified.
Maximum Tokens To Sample	`maxTokensToSample`	`integer`	A maximum number of tokens to generate before stopping.