Integrate the Pipedream API with the Llama AI API

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

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Popular Ways to Connect Pipedream with Llama AI#

Create Chat with Llama AI API on New Scheduled Tasks from Pipedream API

Pipedream + Llama AI

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Popular Pipedream and Llama AI Triggers#

New Scheduled Tasks from the Pipedream API

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

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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.

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Card Due Date Reminder from the Pipedream API

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

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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.

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Popular Pipedream and Llama AI Actions#

Create Chat with the Llama AI API

Creates a new chat. See the documentation

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Create a Subscription with the Pipedream API

Create a Subscription. See Doc

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Delete a Subscription with the Pipedream API

Delete a Subscription. See Doc

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Generate Component Code with the Pipedream API

Generate component code using AI.

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Get Component with the Pipedream API

Get info for a published component. See docs

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Overview of Pipedream#

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.

Connect Pipedream#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pipedream: {
      type: "app",
      app: "pipedream",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pipedream.com/v1/users/me`,
      headers: {
        Authorization: `Bearer ${this.pipedream.$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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