Create Thread (Assistants) with OpenAI (ChatGPT) API on New Column from PostgreSQL API

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New Column from the PostgreSQL API

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Create Thread (Assistants) with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a PostgreSQL trigger and OpenAI (ChatGPT) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Column trigger
1. Connect your PostgreSQL account
2. Configure Polling Interval
3. Select a Schema
4. Select a Table
Configure the Create Thread (Assistants) action
1. Connect your OpenAI (ChatGPT) account
2. Optional- Configure Messages
3. Optional- Configure Metadata
4. Optional- Configure Run Thread
5. Optional- Select one or more Tool Types
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Column on PostgreSQL

Description:Emit new event when a new column is added to a table. [See the documentation](https://node-postgres.com/features/queries)

Version:2.0.8

Key:postgresql-new-column

View on GitHub

PostgreSQL Overview#

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Trigger Code#

import common from "../common.mjs"; export default { ...common, name: "New Column", key: "postgresql-new-column", description: "Emit new event when a new column is added to a table. [See the documentation](https://node-postgres.com/features/queries)", version: "2.0.8", type: "source", props: { ...common.props, schema: { propDefinition: [ common.props.postgresql, "schema", ], }, table: { propDefinition: [ common.props.postgresql, "table", (c) => ({ schema: c.schema, }), ], }, }, async run() { const previousColumns = this._getPreviousValues() || []; const columns = await this.postgresql.getColumns(this.table, this.schema); const newColumns = columns.filter((column) => !previousColumns.includes(column)); for (const column of newColumns) { const meta = this.generateMeta(column); this.$emit(column, meta); } this._setPreviousValues(columns); }, };

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
PostgreSQL	`postgresql`	`app`	This component uses the PostgreSQL app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling Interval	`timer`	`$.interface.timer`	Pipedream will poll the API on this schedule
Schema	`schema`	`string`	Select a value from the drop down menu.
Table	`table`	`string`	Select a value from the drop down menu.

Trigger Authentication#

PostgreSQL uses API keys for authentication. When you connect your PostgreSQL account, Pipedream securely stores the keys so you can easily authenticate to PostgreSQL APIs in both code and no-code steps.

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs

SSL Setup

Configure SSL on your PostgreSQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications

About PostgreSQL#

PostgreSQL is a free and open-source relational database management system emphasizing extensibility and SQL compliance.

Action#

Create Thread (Assistants) on OpenAI (ChatGPT)

Description:Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. [See the documentation](https://platform.openai.com/docs/api-reference/threads/createThread)

Version:0.0.17

Key:openai-create-thread

View on GitHub

OpenAI (ChatGPT) Overview#

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:

Action Code#

import openai from "../../openai.app.mjs"; import common from "../common/common-assistants.mjs"; import constants from "../../common/constants.mjs"; export default { key: "openai-create-thread", name: "Create Thread (Assistants)", description: "Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. [See the documentation](https://platform.openai.com/docs/api-reference/threads/createThread)", version: "0.0.17", annotations: { destructiveHint: false, openWorldHint: true, readOnlyHint: false, }, type: "action", props: { openai, messages: { propDefinition: [ openai, "messages", ], optional: true, }, metadata: { propDefinition: [ openai, "metadata", ], optional: true, }, runThread: { type: "boolean", label: "Run Thread", description: "Set to `true` to run the thread after creation", optional: true, reloadProps: true, }, toolTypes: { type: "string[]", label: "Tool Types", description: "The types of tools to enable on the assistant", options: constants.TOOL_TYPES.filter((type) => type !== "function"), optional: true, reloadProps: true, }, }, async additionalProps() { const props = {}; if (this.runThread) { props.assistantId = { type: "string", label: "Assistant ID", description: "The unique identifier for the assistant.", options: async () => { return this.getAssistantPropOptions(); }, }; props.model = { type: "string", label: "Model", description: "The ID of the model to use for the assistant", options: async () => { return this.getAssistantModelPropOptions(); }, }; props.instructions = { type: "string", label: "Instructions", description: "The system instructions that the assistant uses.", optional: true, }; props.waitForCompletion = { type: "boolean", label: "Wait For Completion", description: "Set to `true` to poll the API in 3-second intervals until the run is completed", optional: true, }; } const toolProps = this.toolTypes?.length ? await this.getToolProps() : {}; return { ...props, ...toolProps, }; }, methods: { ...common.methods, async getAssistantPropOptions() { const { data } = await this.openai.listAssistants(); return data.map(({ name, id, }) => ({ label: name || id, value: id, })); }, async getAssistantModelPropOptions() { const models = await this.openai.getAssistantsModels({}); return models.map(({ id }) => id); }, }, async run({ $ }) { const messages = this.messages?.length ? this.messages.map((message) => ({ role: "user", content: message, })) : undefined; let response = !this.runThread ? await this.openai.createThread({ $, data: { messages, metadata: this.metadata, tool_resources: this.buildToolResources(), }, }) : await this.openai.createThreadAndRun({ $, data: { assistant_id: this.assistantId, thread: { messages, metadata: this.metadata, }, model: this.model, instructions: this.instructions, tools: this.buildTools(), tool_resources: this.buildToolResources(), metadata: this.metadata, }, }); if (this.waitForCompletion) { const runId = response.id; const threadId = response.thread_id; response = await this.pollRunUntilCompleted(response, threadId, runId, $); } $.export("$summary", `Successfully created a thread ${this.runThread ? "and run" : ""} with ID: ${response.id}`); return response; }, };

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Messages	`messages`	`string[]`	An array of messages to start the thread with.
Metadata	`metadata`	`object`	Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
Run Thread	`runThread`	`boolean`	Set to `true` to run the thread after creation
Tool Types	`toolTypes`	`string[]`	Select a value from the drop down menu:`code_interpreterfile_search`