vss-setup-video-analytics-api

npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-setup-video-analytics-api --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

## Purpose Deploy the video-analytics-api REST service standalone with the user's chosen config, data-log bind, and Elasticsearch / Kafka connectivity. ## Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in *workflow*, *quick start*, or *flow* is intended to be executed top-to-bottom. Detailed reference material lives in `references/`. ## Examples Worked end-to-end examples are kept under `evals/` (each `*.json` manifest contains a runnable scenario). Run a Tier-3 evaluation to replay them: ```bash nv-base validate skills/vss-setup-video-analytics-api --agent-eval ``` A minimal standalone bring-up looks like: ```bash cd $REPO/deploy/docker export VSS_APPS_DIR=$(pwd) export VSS_DATA_DIR=${VSS_DATA_DIR:-/tmp/vss-data} mkdir -p "$VSS_DATA_DIR/data_log/vss_video_analytics_api" docker compose -f services/analytics/video-analytics-api/compose.yml up -d vss-video-analytics-api curl -sf http://localhost:8081/livez ``` Follow [`references/deploy-video-analytics-api-service.md`](references/deploy-video-analytics-api-service.md) for the full workflow (config source, data-log bind, infrastructure dependencies, REST endpoints). For the field-by-fie

nv-base validate skills/vss-setup-video-analytics-api --agent-eval
cd $REPO/deploy/docker
export VSS_APPS_DIR=$(pwd)
export VSS_DATA_DIR=${VSS_DATA_DIR:-/tmp/vss-data}
mkdir -p "$VSS_DATA_DIR/data_log/vss_video_analytics_api"
docker compose -f services/analytics/video-analytics-api/compose.yml up -d vss-video-analytics-api
curl -sf http://localhost:8081/livez