with Freshservice and Azure OpenAI?
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
Translate text from one language to another. See the documentation
The Freshservice API opens up a realm of possibilities for streamlining IT service management processes. It allows you to interact programmatically with Freshservice features, such as creating tickets, managing users, updating service catalog items, and more. Leveraging the Freshservice API on Pipedream, you can automate repetitive tasks, create complex workflows that react to events in Freshservice in real time, and connect Freshservice to a multitude of other services to enhance its capabilities and your productivity.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
freshservice: {
type: "app",
app: "freshservice",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.freshservice.$auth.domain}.freshservice.com/api/v2/tickets`,
auth: {
username: `${this.freshservice.$auth.api_key}`,
password: `X`,
},
})
},
})
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,
})
},
})