Integrate the Jotform API with the Llama AI API

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

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Popular Ways to Connect Jotform with Llama AI#

Create Chat with Llama AI API on New Submission (Instant) from Jotform API

Jotform + Llama AI

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Popular Jotform and Llama AI Triggers#

New Submission (Instant) from the Jotform API

Emit new event when a form is submitted

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Popular Jotform and Llama AI Actions#

Create Chat with the Llama AI API

Creates a new chat. See the documentation

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Get Form Submissions with the Jotform API

Gets a list of form responses See the docs here

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Get Monthly User Usage with the Jotform API

Gets number of form submissions received this month. Also, get number of SSL form submissions, payment form submissions and upload space used by user See the docs here

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Get User Submissions with the Jotform API

Gets a list of all submissions for all forms on the account See the docs here

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Overview of Jotform#

Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.

Connect Jotform#

import { axios } from "@pipedream/platform"

export default defineComponent({
  props: {
    jotform: {
      type: "app",
      app: "jotform",
    }
  },
  methods: {
    _getBaseUrl() {
      let baseUrl = `https://${this.jotform.$auth.region}.jotform.com/`;
      const standardSubdomains = [
        "api",
        "eu-api",
        "hipaa-api",
      ];
      if (!standardSubdomains.includes(this.jotform.$auth.region)) {
        baseUrl += "API/";
      }
      return baseUrl;
    },
  },
  async run({steps, $}) {
    const baseUrl = this._getBaseUrl(); 
    return await axios($, {
      url: `${baseUrl}user`, 
      params: {
        apiKey: `${this.jotform.$auth.api_key}`,
      },
    })
  },
})

Overview of Llama AI#

The Llama AI API provides powerful machine learning capabilities, enabling users to harness advanced AI for image recognition, natural language processing, and predictive modeling. By leveraging this API on Pipedream, you can automate complex workflows that require AI-driven insights, enhancing data analysis and decision-making processes across various business applications.

Connect Llama AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    llama_ai: {
      type: "app",
      app: "llama_ai",
    }
  },
  async run({steps, $}) {
    const data = {
        "messages": [
            {"role": "user", "content": "What is the weather like in Boston?"},
        ],
        "functions": [
            {
                "name": "get_current_weather",
                "description": "Get the current weather in a given location",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "location": {
                            "type": "string",
                            "description": "The city and state, e.g. San Francisco, CA",
                        },
                        "days": {
                            "type": "number",
                            "description": "for how many days ahead you wants the forecast",
                        },
                        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
                    },
                },
                "required": ["location", "days"],
            }
        ],
        "stream": "false",
        "function_call": "get_current_weather",
    }
    return await axios($, {
      method: "post",
      url: `https://api.llama-api.com/chat/completions`,
      headers: {
        Authorization: `Bearer ${this.llama_ai.$auth.api_token}`,
      },
      data,
    })
  },
})

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