with Mistral AI and AnonyFlow?
Emit new event when a new batch job is completed. See the Documentation
Emit new event when a new batch job fails. See the Documentation
Emit new event when a new AI model is registered or becomes available. See the Documentation
Create a new batch job, it will be queued for processing. See the Documentation
Encrypts sensitive data using AnonyFlow encryption service with a unique private key managed by AnonyFlow. See the documentation
Decrypts protected data using AnonyFlow decryption service with a unique private key, managed by AnonyFlow. See the documentation
Download a batch job results file to the /tmp directory. See the Documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mistral_ai: {
type: "app",
app: "mistral_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.mistral.ai/v1/models`,
headers: {
Authorization: `Bearer ${this.mistral_ai.$auth.api_key}`,
"content-type": `application/json`,
},
})
},
})
The AnonyFlow API provides a way to manage and automate data privacy operations. Use it on Pipedream to orchestrate data anonymization workflows for compliance with privacy regulations like GDPR. This API can handle personal data extraction, anonymization, and deletion requests programmatically. With Pipedream's serverless platform, you can integrate these privacy functions into your existing systems, triggering actions based on webhooks, schedules, or other apps' events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
anonyflow: {
type: "app",
app: "anonyflow",
}
},
async run({steps, $}) {
const data = {
"data": `YOUR_DATA`,
}
return await axios($, {
method: "post",
url: `https://api.anonyflow.com/anony-value`,
headers: {
"x-api-key": `${this.anonyflow.$auth.api_key}`,
"accept": `application/json`,
},
data,
})
},
})