with Guru and Azure OpenAI?
Emit new event when a user makes an edit to a card. See the documentation
Emit new event when a user clicks on the "I read it" button in an Announcement. See the documentation
Emit new event when a new card is published. See the documentation
Links an existing tag to a specified card in Guru. See the documentation
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
The Guru API on Pipedream enables the automation of knowledge sharing and management tasks within your team or organization. Using this API, you can programmatically interact with Guru's knowledge base, including retrieving card details, creating new cards, and updating existing content. By leveraging Pipedream's serverless platform, you can craft workflows that trigger based on events from other services, process the data, and perform actions in Guru to keep your team's knowledge up to date and accessible.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
guru: {
type: "app",
app: "guru",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.getguru.com/api/v1/teams`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `${this.guru.$auth.username}`,
password: `${this.guru.$auth.api_key}`,
},
})
},
})
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,
})
},
})