Chat using Functions with OpenAI (ChatGPT) API on New Alert in Chargeblast from Chargeblast API

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New Alert in Chargeblast from the Chargeblast API

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Chat using Functions with the OpenAI (ChatGPT) API

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Getting Started#

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

Select this integration
Configure the New Alert in Chargeblast trigger
1. Connect your Chargeblast account
2. Configure timer
Configure the Chat using Functions action
1. Connect your OpenAI (ChatGPT) account
2. Configure alert
3. Select a Model
4. Configure Chat Input
5. Configure Functions
6. Optional- Configure Instructions
7. Optional- Select a Tool Choice
8. Optional- Configure Parallel Function Calling
9. Optional- Configure Previous Response ID
10. Optional- Select a Truncation
11. Optional- Select a Response Format
12. Optional- Configure Skip This Step
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 Alert in Chargeblast on Chargeblast

Description:Emit new event for each alert in Chargeblast. [See the documentation](https://docs.chargeblast.io/reference/getembedalerts)

Version:0.0.1

Key:chargeblast-new-alert

View on GitHub

Chargeblast Overview#

The Chargeblast API allows users to manage their SMS and email marketing campaigns directly through API calls. By integrating with the Chargeblast API on Pipedream, you can automate the process of creating, updating, and monitoring your marketing campaigns. Pipedream's serverless platform facilitates the creation of workflows that can respond in real-time to various triggers, such as incoming webhook data, scheduled times, or actions from other apps. With these capabilities, you can streamline your marketing operations, personalize your customer interactions, and execute complex sequences of tasks with ease.

Trigger Code#

import app from "../../chargeblast.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "chargeblast-new-alert",
  name: "New Alert in Chargeblast",
  description: "Emit new event for each alert in Chargeblast. [See the documentation](https://docs.chargeblast.io/reference/getembedalerts)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    emitEvent(data) {
      this._setLastResourceId(data.id);

      this.$emit(data, {
        id: data.id,
        summary: `New alert with ID ${data.id}`,
        ts: Date.parse(data.createdAt),
      });
    },
    _setLastResourceId(id) {
      this.db.set("lastResourceId", id);
    },
    _getLastResourceId() {
      return this.db.get("lastResourceId");
    },
  },
  async run() {
    const lastResourceId = this._getLastResourceId();

    let page = 1;

    while (page >= 0) {
      const resources = await this.app.getAlerts({
        params: {
          page,
        },
      });

      resources.reverse().forEach(this.emitEvent);

      if (resources.filter((resource) => resource.id === lastResourceId)) {
        page = -1;
        return;
      }

      page++;
    }
  },
};

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
Chargeblast	`app`	`app`	This component uses the Chargeblast app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About Chargeblast#

Chargeblast helps hypergrowth startups reduce chargeback rates by up to 99%.

Action#

Chat using Functions on OpenAI (ChatGPT)

Description:Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions. [See the documentation](https://platform.openai.com/docs/guides/function-calling)

Version:0.0.3

Key:openai-chat-using-functions

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Action Code#

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

export default {
  ...common,
  name: "Chat using Functions",
  version: "0.0.3",
  key: "openai-chat-using-functions",
  description: "Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions. [See the documentation](https://platform.openai.com/docs/guides/function-calling)",
  type: "action",
  props: {
    openai,
    alert: {
      type: "alert",
      alertType: "info",
      content: "Provide function names and parameters, and the model will either answer the question directly or decide to invoke one of the functions, returning a function call that adheres to your specified schema. Add a custom code step that includes all available functions which can be invoked based on the model's response - [you can even build an entire workflow as a function](https://pipedream.com/docs/workflows/building-workflows/code/nodejs/#invoke-another-workflow)! Once the appropriate function or workflow is executed, continue the overall execution or pass the result back to the model for further analysis. For more details, [see this guide](https://platform.openai.com/docs/guides/function-calling?api-mode=responses#overview).",
    },
    modelId: {
      propDefinition: [
        openai,
        "chatCompletionModelId",
      ],
    },
    input: {
      type: "string",
      label: "Chat Input",
      description: "Text inputs to the model used to generate a response",
    },
    functions: {
      type: "string",
      label: "Functions",
      description: "A valid JSON array of functions using OpenAI's function schema definition. [See guide here](https://platform.openai.com/docs/guides/function-calling?api-mode=responses&example=search-knowledge-base#defining-functions).",
      default:
`[
  {
    "type": "function",
    "name": "your_function_name",
    "description": "Details on when and how to use the function",
    "strict": true,
    "parameters": {
      "type": "object",
      "properties": {
        "property_name": {
          "type": "property_type",
          "description": "A description for this property"
        },
        "another_property_name": {
          "type": "property_type",
          "description": "A description for this property"
        }
      },
      "required": [
        "list",
        "of",
        "required",
        "properties",
        "for",
        "this",
        "object"
      ],
      "additionalProperties": false
    }
  }
]`,
    },
    instructions: {
      type: "string",
      label: "Instructions",
      description: "Inserts a system (or developer) message as the first item in the model's context",
      optional: true,
    },
    toolChoice: {
      type: "string",
      label: "Tool Choice",
      description: "- **auto**: The model decides whether and how many functions to call.\n- **required**: The model must call one or more functions.\n- **function_name**: Enter a custom expression to force the model to call this specific function.",
      optional: true,
      default: "auto",
      options: [
        "auto",
        "required",
      ],
    },
    parallelToolCalls: {
      type: "boolean",
      label: "Parallel Function Calling",
      description: "Allow or prevent the model to call multiple functions in a single turn",
      optional: true,
      default: true,
    },
    previousResponseId: {
      type: "string",
      label: "Previous Response ID",
      description: "The unique ID of the previous response to the model. Use this to create multi-turn conversations",
      optional: true,
    },
    truncation: {
      type: "string",
      label: "Truncation",
      description: "Specifies the truncation mode for the response if it's larger than the context window size",
      optional: true,
      default: "auto",
      options: [
        "auto",
        "disabled",
      ],
    },
    responseFormat: {
      type: "string",
      label: "Response Format",
      description: "- **Text**: Returns unstructured text output.\n- **JSON Schema**: Enables you to define a [specific structure for the model's output using a JSON schema](https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses).",
      options: [
        "text",
        "json_schema",
      ],
      default: "text",
      optional: true,
      reloadProps: true,
    },
    skipThisStep: {
      type: "boolean",
      label: "Skip This Step",
      description: "Pass in a boolean custom expression to skip this step's execution at runtime",
      optional: true,
      default: false,
    },
  },
  additionalProps() {
    const {
      modelId,
      responseFormat,
    } = this;
    const props = {};

    if (this.openai.isReasoningModel(modelId)) {
      props.reasoningEffort = {
        type: "string",
        label: "Reasoning Effort",
        description: "Constrains effort on reasoning for reasoning models",
        optional: true,
        options: [
          "low",
          "medium",
          "high",
        ],
      };

      // aparrently not supported yet as of 12/march/2025
      // props.generateSummary = {
      //   type: "string",
      //   label: "Generate Reasoning Summary",
      //   description: "A summary of the reasoning performed by the model",
      //   optional: true,
      //   options: [
      //     "concise",
      //     "detailed",
      //   ],
      // };
    }

    if (responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
      props.jsonSchema = {
        type: "string",
        label: "JSON Schema",
        description: "Define the schema that the model's output must adhere to. [Generate one here](https://platform.openai.com/docs/guides/structured-outputs/supported-schemas).",
      };
    }

    return props;
  },
  methods: {
    ...common.methods,
  },
  async run({ $ }) {
    if (this.skipThisStep) {
      $.export("$summary", "Step execution skipped");
      return;
    }

    const data = {
      model: this.modelId,
      input: this.input,
      instructions: this.instructions,
      previous_response_id: this.previousResponseId,
      truncation: this.truncation,
      parallel_tool_calls: this.parallelToolCalls,
      tools: [],
    };

    let functions = this.functions;
    if (typeof functions === "string") {
      try {
        functions = JSON.parse(functions);
      } catch (error) {
        throw new Error("Invalid JSON format in the provided Functions Schema");
      }
    }

    if (Array.isArray(functions)) {
      data.tools.push(...functions);
    } else {
      data.tools.push(functions);
    }

    if (this.toolChoice) {
      if (this.toolChoice === "auto" || this.toolChoice === "required") {
        data.tool_choice = this.toolChoice;
      } else {
        data.tool_choice = {
          type: "function",
          name: this.toolChoice,
        };
      }
    }

    if (this.openai.isReasoningModel(this.modelId) && this.reasoningEffort) {
      data.reasoning = {
        ...data.reasoning,
        effort: this.reasoningEffort,
      };
    }

    if (this.openai.isReasoningModel(this.modelId) && this.generateSummary) {
      data.reasoning = {
        ...data.reasoning,
        generate_summary: this.generateSummary,
      };
    }

    if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
      try {
        data.text = {
          format: {
            type: this.responseFormat,
            ...JSON.parse(this.jsonSchema),
          },
        };
      } catch (error) {
        throw new Error("Invalid JSON format in the provided JSON Schema");
      }
    }

    const response = await this.openai.responses({
      $,
      data,
    });

    if (response) {
      $.export("$summary", `Successfully sent chat with id ${response.id}`);
      $.export("chat_responses", response.output);
    }

    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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Chat Input	`input`	`string`	Text inputs to the model used to generate a response
Functions	`functions`	`string`	A valid JSON array of functions using OpenAI's function schema definition. See guide here
Instructions	`instructions`	`string`	Inserts a system (or developer) message as the first item in the model's context
Tool Choice	`toolChoice`	`string`	Select a value from the drop down menu:`autorequired`
Parallel Function Calling	`parallelToolCalls`	`boolean`	Allow or prevent the model to call multiple functions in a single turn
Previous Response ID	`previousResponseId`	`string`	The unique ID of the previous response to the model. Use this to create multi-turn conversations
Truncation	`truncation`	`string`	Select a value from the drop down menu:`autodisabled`
Response Format	`responseFormat`	`string`	Select a value from the drop down menu:`textjson_schema`
Skip This Step	`skipThisStep`	`boolean`	Pass in a boolean custom expression to skip this step's execution at runtime

Action Authentication#

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

About OpenAI (ChatGPT)#

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

More Ways to Connect OpenAI (ChatGPT) + Chargeblast#

Other Popular Integrations#

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Chargeblast + OpenAI (ChatGPT)

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Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Chargeblast 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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