with Linear (API key) and Azure OpenAI?
Triggers instantly when a new issue is created in Linear. Provides complete issue details including title, description, team, assignee, state, and timestamps. Supports filtering by team and project. See Linear docs for additional info here
Triggers instantly when a project update (status report) is created in Linear. Returns update content, author, project details, and health status. Filters by team and optionally by project. See Linear docs for additional info here
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
Linear helps streamline software project management, bug tracking, and task coordination. By using the Linear (API key) API with Pipedream, you can automate routine tasks, sync issues across platforms, and trigger custom workflows. Think auto-assignment of tasks based on specific triggers or pushing updates to a Slack channel when an issue's status changes. These automations save time and ensure that your development team stays focused on coding rather than on administrative overhead.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
linear_app: {
type: "app",
app: "linear_app",
}
},
async run({steps, $}) {
const data = {
"query": `{
user(id: "me") {
id
email
name
}
}`,
}
return await axios($, {
method: "post",
url: `https://api.linear.app/graphql`,
headers: {
"Authorization": `${this.linear_app.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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,
})
},
})