Integrate the Koala AI API with the Filter API

Setup the Koala AI API trigger to run a workflow which integrates with the Filter API. Pipedream's integration platform allows you to integrate Koala AI and Filter remarkably fast. Free for developers.

Popular Koala AI and Filter Actions#

Continue execution if a condition Is met with the Filter API

Continue workflow execution only if a condition is met

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End execution if a condition is met with the Filter API

End workflow execution if a condition is met

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Overview of Koala AI#

The Koala AI API enables intelligent analysis of text and conversation data, offering insights and automation capabilities. With Koala AI API on Pipedream, you can craft serverless workflows that respond to data in real-time. Use it to analyze sentiment, categorize content, extract entities, and more. Build workflows that trigger on new data, process it through Koala AI, and act on the insights gained, like updating a database, sending notifications, or enriching CRM information.

Connect Koala AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    koala_ai: {
      type: "app",
      app: "koala_ai",
    }
  },
  async run({steps, $}) {
    const data = {
      "targetKeyword": `What is Pipedream?`,
      "gptVersion": `gpt-3.5`,
    }
    return await axios($, {
      method: "post",
      url: `https://koala.sh/api/articles/`,
      headers: {
        Authorization: `Bearer ${this.koala_ai.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

Overview of Filter#

The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.

Connect Filter#

export default defineComponent({
  async run({ steps, $ }) {
    let condition = false
    if (condition == false) {
      $.flow.exit("Ending workflow early because the condition is false")
    } else {
        $.export("$summary", "Continuing workflow, since condition for ending was not met.")
    }
  },
})