with Gleap and Llama AI?
The Gleap API allows for the seamless integration of customer feedback into your product development cycle. With Gleap, you can collect bug reports, feature requests, and general feedback, all enriched with screenshots, replay videos, and logs to give you comprehensive insights into user experiences. In Pipedream, you can harness this API to automate workflows, connect feedback to your issue trackers or communication platforms, and analyze data to inform product improvements.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gleap: {
type: "app",
app: "gleap",
}
},
async run({steps, $}) {
const data = {
"userId": `1234`,
"name": `John Doe`,
"email": `john@doe.com`,
"value": `1927`,
"phone": `+1 (129) 18283 8292`,
"createdAt": `2022-09-28T10:11:18.156Z`,
}
return await axios($, {
url: `https://api.gleap.io/projects `,
headers: {
Authorization: `Bearer ${this.gleap.$auth.oauth_access_token}`,
"Api-Token": `${this.gleap.$auth.secret_api_token}`,
"Content-Type": `application/json`,
},
})
},
})
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,
})
},
})