Airbyte Zendesk-Chat Connector for AI platforms
Project description
Zendesk-Chat agent connector
Zendesk Chat enables real-time customer support through live chat. This connector provides access to chat transcripts, agents, departments, shortcuts, triggers, and other chat configuration data for analytics and support insights.
Supported Entities
- accounts: Account information and billing details
- agents: Chat agents with roles and department assignments
- agent_timeline: Agent activity timeline (incremental export)
- bans: Banned visitors (IP and visitor-based)
- chats: Chat transcripts with full conversation history (incremental export)
- departments: Chat departments for routing
- goals: Conversion goals for tracking
- roles: Agent role definitions
- routing_settings: Account-level routing configuration
- shortcuts: Canned responses for agents
- skills: Agent skills for skill-based routing
- triggers: Automated chat triggers
Rate Limits
Zendesk Chat API uses the Retry-After header for rate limit backoff.
The connector handles this automatically.
Example questions
The Zendesk-Chat connector is optimized to handle prompts like these.
- List all banned visitors
- List all departments with their settings
- Show me all chats from last week
- List all agents in the support department
- What are the most used chat shortcuts?
- Show chat volume by department
- What triggers are currently active?
- Show agent activity timeline for today
Unsupported questions
The Zendesk-Chat connector isn't currently able to handle prompts like these.
- Start a new chat session
- Send a message to a visitor
- Create a new agent
- Update department settings
- Delete a shortcut
Installation
uv pip install airbyte-agent-zendesk-chat
Usage
Connectors can run in open source or hosted mode.
Open source
In open source mode, you provide API credentials directly to the connector.
from airbyte_agent_zendesk_chat import ZendeskChatConnector
from airbyte_agent_zendesk_chat.models import ZendeskChatAuthConfig
connector = ZendeskChatConnector(
auth_config=ZendeskChatAuthConfig(
access_token="<Your Zendesk Chat OAuth 2.0 access token>"
)
)
@agent.tool_plain # assumes you're using Pydantic AI
@ZendeskChatConnector.tool_utils
async def zendesk_chat_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})
Hosted
In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead.
This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.
from airbyte_agent_zendesk_chat import ZendeskChatConnector, AirbyteAuthConfig
connector = ZendeskChatConnector(
auth_config=AirbyteAuthConfig(
external_user_id="<your_external_user_id>",
airbyte_client_id="<your-client-id>",
airbyte_client_secret="<your-client-secret>"
)
)
@agent.tool_plain # assumes you're using Pydantic AI
@ZendeskChatConnector.tool_utils
async def zendesk_chat_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})
Full documentation
Entities and actions
This connector supports the following entities and actions. For more details, see this connector's full reference documentation.
| Entity | Actions |
|---|---|
| Accounts | Get |
| Agents | List, Get, Search |
| Agent Timeline | List |
| Bans | List, Get |
| Chats | List, Get, Search |
| Departments | List, Get, Search |
| Goals | List, Get |
| Roles | List, Get |
| Routing Settings | Get |
| Shortcuts | List, Get, Search |
| Skills | List, Get |
| Triggers | List, Search |
Authentication and configuration
For all authentication and configuration options, see the connector's authentication documentation.
Zendesk-Chat API docs
See the official Zendesk-Chat API reference.
Version information
- Package version: 0.1.46
- Connector version: 0.1.8
- Generated with Connector SDK commit SHA: df1e8094b5b2d94e172536ce7f33fb98f2c3fdc1
- Changelog: View changelog
Project details
Release history Release notifications | RSS feed
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