with Linear (API key) and OpenAI (ChatGPT)?
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
Emit new event when a new batch is completed in OpenAI. See the documentation
Emit new event when a new file is created in OpenAI. See the documentation
Emit new event when a new fine-tuning job is created in OpenAI. See the documentation
Emit new event every time a run changes its status. See the documentation
Creates a new issue in Linear. Requires team ID and title. Optional: description, assignee, project, state. Returns response object with success status and issue details. Uses API Key authentication. See the documentation
The Chat API, using the gpt-3.5-turbo or gpt-4 model. See the documentation
Chat using the web search tool. See the documentation
Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions. See the documentation
Chat with your files knowledge base (vector stores). See the documentation
Summarizes text using the Chat API. See the documentation
Classify items into specific categories using the Chat API. See the documentation
Translate text from one language to another using the Chat API. See the documentation
Transcribes audio into the input language. See the documentation
Creates an image given a prompt returning a URL to the image. See the documentation
Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. See the documentation
OpenAI recommends using the Chat action for the latest gpt-3.5-turbo API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older /completions API. See the documentation
Send a message or question about an image and receive a response. See the documentation
Updates an existing Linear issue. Can modify title, description, assignee, state, project, team, labels, priority, and dates. Returns updated issue details. Uses API Key authentication. See the documentation
Cancels a run that is in progress. See the documentation
Sends a message and generates a response, storing the message history for a continuous conversation. See the documentation
Send a chat via the Responses API, mixing built-in tools and MCP server tools. See the documentation
Generates audio from the input text. See the documentation
Creates an assistant with a model and instructions. See the documentation
Creates and executes a batch from an uploaded file of requests. See the documentation
Creates a job that fine-tunes a specified model from a given dataset. See the documentation
Classifies if text is potentially harmful. See the documentation
Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. See the documentation
Create a vector store file. See the documentation
Deletes a specified file from OpenAI. See the documentation
Deletes a vector store file. See the documentation
Returns a list of files that belong to the user's organization. See the documentation
Lists the messages for a given thread. See the documentation
Returns a list of run steps belonging to a run. See the documentation
Returns a list of runs belonging to a thread. See the documentation
Returns a list of vector store file. See the documentation
Returns a list of vector stores. See the documentation
Modifies an existing OpenAI assistant. See the documentation
Retrieves a specific file from OpenAI. See the documentation
Retrieves the contents of the specified file. See the documentation
Retrieves a specific run within a thread. See the documentation
Retrieve a specific run step in a thread. See the documentation
Retrieve a vector store file. See the documentation
Submits tool outputs to a run that requires action. See the documentation
Upload a file that can be used across various endpoints/features. The size of individual files can be a maximum of 512mb. 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, }) }, }) OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:
Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:
import { axios } from "@pipedream/platform" export default defineComponent({ props: { openai: { type: "app", app: "openai", } }, async run({steps, $}) { return await axios($, { url: `https://api.openai.com/v1/models`, headers: { Authorization: `Bearer ${this.openai.$auth.api_key}`, }, }) }, })