with DeployHQ and Relevance AI?
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.
DeployHQ is a service that automates the deployment of your web applications. By integrating with version control systems, DeployHQ can automatically deploy code changes to various environments. Using the DeployHQ API on Pipedream, you can orchestrate deployments, manage your projects, and synchronize deployment activities with other tools in your toolchain. It opens up possibilities for custom deployment workflows, notifications, monitoring, and more, all connected within the Pipedream ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
deployhq: {
type: "app",
app: "deployhq",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.deployhq.$auth.account_name}.deployhq.com/projects`,
headers: {
"Accept": `application/json`,
"Content-Type": `application/json`,
},
auth: {
username: `${this.deployhq.$auth.email}`,
password: `${this.deployhq.$auth.api_key}`,
},
})
},
})
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}`,
},
})
},
})