Install OpenClaw and Connect a Feishu Bot

This guide describes the end-to-end structure for connecting an OpenClaw deployment to a Feishu bot and using it as an internal AI assistant.

1. Prepare the runtime

Install the runtime and dependencies required by the OpenClaw release used by the project. Keep the application, plugin, and model-provider versions pinned, and store configuration outside source control.

After installation, start the service locally and confirm its health endpoint and logs before exposing any network port.

2. Configure the model provider

Create credentials for the selected model provider and place them in environment variables or a secret manager. Configure the model name, API endpoint, timeout, retry policy, and token or spending limits.

Do not embed model keys in frontend code, screenshots, bot messages, or committed configuration files. Use a separate key and account for production.

3. Configure the OpenClaw gateway

The gateway receives Feishu events and sends messages to the model-backed agent. Configure a stable public HTTPS callback URL, request timeouts, allowed tenants, and logging that excludes message content and credentials.

Place the service behind a reverse proxy when appropriate, and restrict administrative endpoints to trusted networks.

4. Create the Feishu application

In the Feishu developer console:

1. Create an internal application.
2. Enable the bot capability.
3. Record the App ID and App Secret securely.
4. Add only the message and user permissions required by the assistant.
5. Configure the event-subscription callback URL and verification token.
6. Subscribe to the message events required by the integration.
7. Publish the application to the intended organization scope.

Permission names and console locations can change, so follow the exact UI and documentation for the current Feishu platform version.

5. Verify event handling

Feishu first verifies the callback endpoint. The service must validate the request signature or verification token before accepting events.

Test with a dedicated chat and account. Confirm that:

• the callback receives the event once;
• duplicate event IDs are ignored;
• bot messages do not trigger an infinite reply loop;
• user and tenant scope are enforced;
• long model responses are split or formatted correctly;
• timeouts return a controlled message instead of failing silently.

6. Security and operations

Treat chat messages as potentially sensitive business data. Define what content may be sent to the model provider, apply redaction where required, and make retention and audit behavior explicit.

Use least-privilege Feishu permissions, rotate secrets, verify webhook signatures, rate-limit requests, and isolate tool execution. Any feature that can read files, invoke commands, query internal systems, or send messages should require explicit authorization and allowlisted operations.

Monitor callback errors, model latency, token use, failed replies, duplicate events, and provider outages. Add a circuit breaker or fallback response so a model failure does not overload Feishu retries.

7. Production checklist

Before rollout, complete a small pilot with synthetic or low-sensitivity data. Document the bot's scope, supported commands, escalation path, model limitations, and data policy. Test secret rotation, service restart, network interruption, duplicate delivery, and rollback of the OpenClaw configuration.