vss-setup-video-analytics-api skillA
vss-setup-video-analytics-api is agent-read markdown (skill) from nvidia-ai-blueprints/video-search-and-summarization: Use to deploy the vss-video-analytics-api REST service standalone with its Elasticsearch ingest-pipeline, selectable Kafka/Redis stream type, and Kafka-topic readiness gates when Kafka is selected. Not for full warehouse deploy..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
## Purpose
Deploy the video-analytics-api REST service standalone with the user's chosen config and data-log bind. The service exposes port 8081 and `/livez` only after Elasticsearch, the `insertion-timestamp-pipeline`, and, when `STREAM_TYPE=kafka`, the configured Kafka topic requirements are ready.
## 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/deployment/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
```
…Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-setup-video-analytics-api@v3.3.0mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-setup-video-analytics-api@sha256:e472aa1a46e93219Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ecbaljkm64ayri5n)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.3.0 latest | 2026-09-14 | 4ac059f | 10,292 B | A | view · diff |
| v3.3.0 | 2026-09-02 | a057165 | 10,257 B | A | view · diff |
| v3.3.0 | 2026-09-02 | dbf146f | 10,290 B | A | view · diff |
| v3.3.0 | 2026-09-01 | fdf50ba | 9,625 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10292 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia-ai-blueprints/video-search-and-summarization · 1,876 stars · license NOASSERTION · pushed 2026-09-24 · branch develop
API
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