dsh-lark-all
Run the following command in DeepSeek Harness:
dsh plugin install tkwkeven/dsh-lark-all
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install tkwkeven/dsh-lark-all in your DeepSeek Harness terminal to install this plugin; the source repository is available at https://github.com/tkwkeven/dsh-lark-all
About this plugin
Using DeepSeek Harness inside Feishu or Lark has traditionally meant running a callback server, obtaining a public IP, and juggling two separate plugins for messaging and ops notifications. dsh-lark-all consolidates both into a single package built on the official WebSocket long-connection SDK, eliminating the need for any public endpoint while supporting both the Chinese Feishu and international Lark editions out of the box.
Three capabilities stand out. Parallel task sessions: messages prefixed with a task keyword each spawn an independent, persistent Harness conversation that streams progress via live interactive cards—blue for running, green for done, red for failed—and multiple tasks execute concurrently in the same chat, with long reports auto-paginated into topic replies. Bidirectional media handling: inbound supports text, images, files, voice, video, and Feishu cloud-document shares; outbound covers slash commands, model-reply markers, and automatic cloud-drive uploads with share links for files exceeding IM limits. Safe process restart: a single chat command triggers a detached restart with automatic rollback, and dsh-ops proactively notifies the requester once the process is back online.
It is aimed at engineering teams that live in Feishu or Lark and want DSH woven into their daily workflow without operating extra infrastructure. For production deployments, enabling allowlist access policies and routing credentials through the Harness credential service keeps the setup secure while delivering an experience close to the built-in web client.
Use Cases
- Kick off parallel tasks in a Feishu group and track each session in real time via live streaming cards.
- Send files, voice notes, or cloud-document shares to the bot and receive in-topic analytical reports from the model.
- Trigger a safe process restart from chat and receive an automatic recovery notification once the service is back online.
Best For
- Engineers who collaborate in Feishu or Lark and want to embed an AI assistant into their daily messaging flow.
- DSH deployers who prefer WebSocket long-connections over maintaining public callback servers.
- Technical teams that run multiple AI tasks in parallel and track progress via real-time interactive cards.
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