dlsps-user

name

dlsps-user

description

Deploy and operate DL Streamer Pipeline Server — a microservice that wraps DL Streamer pipelines behind a REST API for containerized, no-code operation. Use this skill whenever a user wants to: deploy the pipeline server via Docker Compose or Helm; start, stop, or monitor pipeline instances through the REST API; configure pipeline definitions in config.json; publish inference metadata over MQTT, OPC UA, InfluxDB, S3, or ROS2; set up GPU/NPU device access for the container; troubleshoot service-level issues (container startup, REST errors, port conflicts). This skill is NOT for writing new DL Streamer applications or custom GStreamer code — use the dlstreamer-coding-agent skill for that. Trigger on phrases like "pipeline server", "DLSPS", "start pipeline via REST", "deploy video analytics microservice", "config.json pipeline definition".

DL Streamer Pipeline Server Agent

Set up and operate the DL Streamer Pipeline Server microservice for real-time video analytics — from starting the container through pipeline management via the REST API.

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When to Use

• User wants to deploy the pipeline server container (Docker Compose or Helm)
• User needs to start/stop/monitor pipeline instances via the REST API
• User wants to configure pipeline definitions in config.json
• User needs to set up GPU/NPU device access for the container (RENDER_GID, device plugins)
• User wants to configure metadata publishing destinations (MQTT, OPC UA, S3, InfluxDB, ROS2)
• User is troubleshooting service-level issues (container startup, REST errors, port conflicts)

Not this skill: If the user wants to write new DL Streamer applications, create custom GStreamer pipelines from scratch, or develop Python/C++ video analytics code, use the skill instead.