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Technical Reference

CustomGPT

CustomGPT allows you to create and deploy custom AI chatbots tailored to your specific needs.

CategoryArtificial Intelligence
Authenticationcustom
Version0.1.7
Published scopes0 published scopes
Last updatedSeptember 19, 2026

Overview

Connect CustomGPT with Flows360

CustomGPT allows you to create and deploy custom AI chatbots tailored to your specific needs.

Use the CustomGPT connector to include its declared actions and events in Flows360 workflows without duplicating the integration logic inside each consuming system. This pinned connector version currently exposes 8 actions and 1 trigger.

Available actions

  • Create Agent
  • Create Conversation
  • Delete Agent
  • Export Conversation
  • Find Conversation
  • Send Message
  • Update Agent
  • Update Agent Settings

Available triggers

  • New Conversation

The capability list above is generated from the exact reviewed connector package so the public description stays aligned with the version Flows360 operates.

Technical guide

Technical reference

Package identity

  • Connector: CustomGPT
  • Package: @activepieces/piece-customgpt@0.1.7
  • Exact artifact digest: sha256:e7bc76faab4832797b16bb59e49cde6a71c84d1733d389d370134c30980f43bb
  • Runtime: Activepieces-compatible deterministic worker
  • Source: the exact reviewed Activepieces source

Authentication

SECRET TEXT. Connection values are tenant-specific and remain in the consuming Studio instance; CDK stores definitions and field metadata, not customer credential values.

Action contracts

  • Create Agent (createAgent), Create a new CustomGPT agent by importing data from a sitemap or file Classification: read.
  • Create Conversation (createConversation), Create a new conversation in a CustomGPT project Classification: read.
  • Delete Agent (deleteAgent), Delete a CustomGPT agent Classification: read.
  • Export Conversation (export_conversation), Export a conversation with all messages, authors, feedbacks and metadata Classification: read.
  • Find Conversation (findConversation), List and search conversations for an agent with optional filtering Classification: read.
  • Send Message (sendMessage), Send a message to a conversation within an agent Classification: read.
  • Update Agent (update_agent), Update an existing agent with specific details Classification: read.
  • Update Agent Settings (update_settings), Update agent configuration and behavior settings Classification: read.

Trigger contracts

  • New Conversation, polling.

Verification

Deterministic execution evidence is recorded for the pinned artifact, including 1 exercised action entrypoint and 0 exercised trigger entrypoints.

Capability summary

Authenticationcustom
Supported objects9
Supported actionsNot published
Triggers1

Authentication

Authentication method: custom

Authentication profiles

connection · custom
  • API Key Required · protected credential

Supported objects

ObjectReadWriteNotes
Create Agent Yes No Create a new CustomGPT agent by importing data from a sitemap or file
Create Conversation Yes No Create a new conversation in a CustomGPT project
Delete Agent Yes No Delete a CustomGPT agent
Export Conversation Yes No Export a conversation with all messages, authors, feedbacks and metadata
Find Conversation Yes No List and search conversations for an agent with optional filtering
Send Message Yes No Send a message to a conversation within an agent
Update Agent Yes No Update an existing agent with specific details
Update Agent Settings Yes No Update agent configuration and behavior settings
New Conversation Yes No polling trigger declared by the pinned package.

Triggers

New Conversation · Poll

Triggers when a new conversation is created in an agent

Inputs

  • project_id · string

Setup

Setup

  1. Add the CustomGPT connector to the workflow in the target Flows360 Studio instance.
  2. Create or select the tenant-specific connection required by the connector. Connection secrets remain in the Studio connection boundary and are not copied into CDK documentation.
  3. Provide the connection fields declared by the pinned package:
  • No provider credential fields are declared by the pinned package.
  1. Select the required action or trigger and complete its declared input fields. Required and optional inputs are defined by the exact package schema.
  2. Test the workflow in the appropriate environment before enabling production scheduling or event delivery.

Limitations

Limitations and operational notes

  • This content describes @activepieces/piece-customgpt@0.1.7; provider behaviour can change independently and should be revalidated when the provider or connector version changes.
  • Only the 8 actions and 1 trigger declared by this pinned package are represented here.
  • Tenant credentials and connection values are not stored in the public connector record.
  • Provider-side permissions, account entitlements, quotas and rate limits remain subject to the connected provider account and are not inferred when the package does not declare them.
  • Deterministic execution evidence is recorded for the pinned artifact, including 1 exercised action entrypoint and 0 exercised trigger entrypoints.

Troubleshooting

Why canu2019t the connector authenticate?

Check the tenant connection in Studio and confirm every required CustomGPT connection field is present. Re-authorise OAuth-based connections if the provider token or consent has expired. Do not place credential values in CDK content or logs.

Why is an action or trigger unavailable?

Confirm that the workflow is using @activepieces/piece-customgpt@0.1.7 and compare the requested capability with the declared action and trigger list for this version. A capability that is not declared by the pinned package should not be presented as supported.

What should I check after a provider-side change?

Revalidate authentication, required fields, action/trigger behaviour and provider documentation before publishing refreshed connector content or moving a new package version into production.