with Range and Azure OpenAI?
Emit new event when a new check-in by teammate is created. See the docs
Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation
Classify items into specific categories. See the documentation
Creates an image given a prompt, and returns a URL to the image. See the documentation
Summarizes a text message with the GPT-35-Turbo and GPT-4 models. See the documentation
The Range API provides a platform for managing print shop operations, including job status tracking, quoting, invoicing, and scheduling. Leveraging Pipedream, users can automate workflows between Range and other apps, creating a seamless integration that boosts productivity. Whether it's syncing order details with a CRM, triggering notifications based on job status updates, or automating invoice creation, Pipedream acts as a conduit for connecting Range's print shop management capabilities with a myriad of other services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
range: {
type: "app",
app: "range",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.range.co/v1/users/auth-user`,
headers: {
Authorization: `Bearer ${this.range.$auth.oauth_access_token}`,
"X-Range-App-ID": `AA0BFrfWOpGg8rTpgQAB`,
"X-Range-Client": `pipedream/1`,
},
})
},
})
The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_openai_service: {
type: "app",
app: "azure_openai_service",
}
},
async run({steps, $}) {
const data = {
"messages": [{ role: 'user', content: "Hello, world!" }],
}
return await axios($, {
method: "post",
url: `https://${this.azure_openai_service.$auth.resource_name}.openai.azure.com/openai/deployments/${this.azure_openai_service.$auth.deployment_name}/chat/completions?api-version=2023-05-15`,
headers: {
"Content-Type": `application/json`,
"api-key": `${this.azure_openai_service.$auth.api_key}`,
},
data,
})
},
})