Integrate the Llama AI API with the Snowflake API

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,
    })
  },
})

import snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});