with Llama AI and fal.ai?
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. See the documentation
Cancels a request in the queue. This allows you to stop a long-running task if it's no longer needed. See the documentation
Gets the response of a completed request in the queue. This retrieves the results of your asynchronous task. See the documentation
Gets the status of a request in the queue. This allows you to monitor the progress of your asynchronous tasks. See the documentation
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.
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 { fal } from "@fal-ai/client"
export default defineComponent({
props: {
fal_ai: {
type: "app",
app: "fal_ai",
}
},
async run({ steps, $ }) {
fal.config({
credentials: `${this.fal_ai.$auth.api_key}`,
});
const result = await fal.subscribe("fal-ai/lora", {
input: {
model_name: "stabilityai/stable-diffusion-xl-base-1.0",
prompt:
"Photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
},
logs: true,
});
return result;
},
})