with Relevance AI and Anthropic (Claude)?
Executes a specific tool within Relevance AI and waits for a response for up to 60 seconds. See the documentation
Sends a message directly to an agent in Relevance AI. This action doesn't wait for an agent response.
Relevance AI is a powerful tool for handling complex data operations like clustering, vector search, and data visualization. On Pipedream, you can use the Relevance AI API to automate data enrichment, analysis, and integration tasks. This integration opens up possibilities for dynamic data workflows, enabling real-time data processing and insights generation across various platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
relevance_ai: {
type: "app",
app: "relevance_ai",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://api-${this.relevance_ai.$auth.region}.stack.tryrelevance.com/latest/agents/list`,
headers: {
"authorization": `${this.relevance_ai.$auth.project}:${this.relevance_ai.$auth.api_key}`,
},
})
},
})
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,
})
},
})