with LogSnag and Anthropic (Claude)?
LogSnag is a real-time event tracking API that enables developers to monitor and track events in their applications. With LogSnag, you can create simple, powerful dashboards to watch events as they happen and set up triggers to notify you of important activities. On Pipedream, LogSnag's capabilities can be harnessed to automate workflows, integrating with numerous services to create a blend of operations, such as triggering notifications, logging significant events, and gathering metrics across various platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
logsnag: {
type: "app",
app: "logsnag",
}
},
async run({steps, $}) {
const data = {
"project": `[project_name]`,
"channel": `[channel]`,
"event": `Test request`,
"description": `Making a test request on LogSnag`,
}
return await axios($, {
method: "post",
url: `https://api.logsnag.com/v1/log`,
headers: {
Authorization: `Bearer ${this.logsnag.$auth.api_token}`,
"Content-Type": `application/json`,
},
data,
})
},
})
The Anthropic (Claude) API offers a conversational AI that can be leveraged for a variety of applications, ranging from answering questions to generating content or providing customer support. In Pipedream, you can create powerful workflows that utilize the capabilities of Claude to automate responses, analyze text, or enhance data with AI-generated insights. Pipedream's serverless platform simplifies integrating Claude into your processes with other apps and services for seamless automation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
anthropic: {
type: "app",
app: "anthropic",
}
},
async run({steps, $}) {
const data = {
"model": "claude-3-haiku-20240307",
"max_tokens": 300,
"messages": [
{"role": "user", "content": "Write me a haiku about Pipedream workflows."}
]
}
return await axios($, {
method: "post",
url: `https://api.anthropic.com/v1/messages`,
headers: {
"x-api-key": `${this.anthropic.$auth.api_key}`,
"anthropic-version": `2023-06-01`,
},
data,
})
},
})