Give agents tools for secure, real-time access to fetch, search, write, and sync across every system, with replication, entity mapping, and auth built-in.
About this Connector
Pylon is a customer support platform that helps B2B companies manage customer interactions across Slack, email, chat widgets, and other channels. This connector provides access to issues, accounts, contacts, teams, tags, users, custom fields, ticket forms, and user roles for customer support analytics and account intelligence insights.
CRM
Sales Analytics
Customer Data
Version Information
Package version
0.1.2
Connector version
0.1.3
SDK commit
e9e5b3844f4992b8c672343e5ab34e30da30242c
Support Open Source
Check us out on Github and join the Airbyte community
Installation & Usage
1
Install Package
Using uv or pip
bash
uv pip install airbyte-agent-pylon
2
Import
Initialize and use
python
from airbyte_agent_pylon import PylonConnector
from airbyte_agent_pylon.models import PylonAuthConfig
connector = PylonConnector(
auth_config=PylonAuthConfig(
api_token="<Your Pylon API token. Only admin users can create API tokens.>"
)
)3
Tool
Add tools to your agent
python
@agent.tool_plain # assumes you're using Pydantic AI
@PylonConnector.tool_utils
async def pylon_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})Supported Entities & Actions
Lorem ipsum
Lorem ipsum
| Entity | Actions |\n|--------|---------|\n| Issues | [List](./REFERENCE.md#issues-list), [Create](./REFERENCE.md#issues-create), [Get](./REFERENCE.md#issues-get), [Update](./REFERENCE.md#issues-update) |\n| Messages | [List](./REFERENCE.md#messages-list) |\n| Issue Notes | [Create](./REFERENCE.md#issue-notes-create) |\n| Issue Threads | [Create](./REFERENCE.md#issue-threads-create) |\n| Accounts | [List](./REFERENCE.md#accounts-list), [Create](./REFERENCE.md#accounts-create), [Get](./REFERENCE.md#accounts-get), [Update](./REFERENCE.md#accounts-update) |\n| Contacts | [List](./REFERENCE.md#contacts-list), [Create](./REFERENCE.md#contacts-create), [Get](./REFERENCE.md#contacts-get), [Update](./REFERENCE.md#contacts-update) |\n| Teams | [List](./REFERENCE.md#teams-list), [Create](./REFERENCE.md#teams-create), [Get](./REFERENCE.md#teams-get), [Update](./REFERENCE.md#teams-update) |\n| Tags | [List](./REFERENCE.md#tags-list), [Create](./REFERENCE.md#tags-create), [Get](./REFERENCE.md#tags-get), [Update](./REFERENCE.md#tags-update) |\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get) |\n| Custom Fields | [List](./REFERENCE.md#custom-fields-list), [Get](./REFERENCE.md#custom-fields-get) |\n| Ticket Forms | [List](./REFERENCE.md#ticket-forms-list) |\n| User Roles | [List](./REFERENCE.md#user-roles-list) |\n| Tasks | [Create](./REFERENCE.md#tasks-create), [Update](./REFERENCE.md#tasks-update) |\n| Projects | [Create](./REFERENCE.md#projects-create), [Update](./REFERENCE.md#projects-update) |\n| Milestones | [Create](./REFERENCE.md#milestones-create), [Update](./REFERENCE.md#milestones-update) |\n| Articles | [Create](./REFERENCE.md#articles-create), [Update](./REFERENCE.md#articles-update) |\n| Collections | [Create](./REFERENCE.md#collections-create) |\n| Me | [Get](./REFERENCE.md#me-get) |
Example Prompts
Lorem ipsum
List all open issues in Pylon - Show me all accounts in Pylon - List all contacts in Pylon - What teams are configured in my Pylon workspace? - Show me all tags used in Pylon - List all users in my Pylon account - Show me the custom fields configured for issues - List all ticket forms in Pylon - What user roles are available in Pylon? - Show me details for a specific issue - Get details for a specific account - Show me details for a specific contact - What are the most common issue sources this month? - Show me issues assigned to a specific team - Which accounts have the most open issues? - Analyze issue resolution times over the last 30 days - List contacts associated with a specific account
Why Airbyte for AI Agents?
Built for production AI workloads with enterprise-grade reliability
Agent-Native Design
Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.
Secure Authentication
Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.
Production Ready
Battle-tested connectors with comprehensive error handling, logging, and retry logic.
Open Source
Fully open source under the MIT license. Contribute, customize, and extend freely.
Works with your favorite frameworks
🦜
LangChain
🦙
LlamaIndex
🤖
CrewAI
⚡
AutoGen
🧠
OpenAI Agents SDK
🔮
Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The Pylon connector supports two authentication methods: Open source mode, where you provide a Pylon API token directly (only admin users can create API tokens); and Hosted mode, where credentials are stored securely in Airbyte Cloud and you authenticate using your Airbyte client ID, client secret, customer name, and optional organization ID.
Can I use this connector with any AI agent framework?
The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.
Does this connector support write operations?
Yes, the Pylon connector supports several write operations including creating and updating Issues, Accounts, Contacts, Teams, Tags, Tasks, Projects, Milestones, Articles, and Collections, as well as creating Issue Notes, Issue Threads, and Collections. However, delete operations (e.g., deleting an issue or account) and messaging actions are not currently supported.
How is this different from the Airbyte data connector?
Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.
Will there be a platform for agent connectors?
The hosted version with secure credential storage through Airbyte Cloud is already available. See the hosted usage section in the documentation for setup instructions.