# pipeline-bridge

Bridges NATS events to Argo Workflows and Kubeflow Pipelines. Subscribes to
`ai.pipeline.trigger` and submits workflow runs to the appropriate engine,
publishing status updates to `ai.pipeline.status.{request_id}`.

## Supported Pipelines

| Name | Engine | Template / Pipeline ID |
|------|--------|----------------------|
| document-ingestion | Argo | document-ingestion |
| batch-inference | Argo | batch-inference |
| model-evaluation | Argo | model-evaluation |
| rag-query | Kubeflow | rag-pipeline |
| voice-pipeline | Kubeflow | voice-pipeline |

## Configuration

| Variable | Default | Description |
|----------|---------|-------------|
| `KUBEFLOW_HOST` | `http://ml-pipeline.kubeflow.svc.cluster.local:8888` | Kubeflow Pipelines API |
| `ARGO_HOST` | `http://argo-server.argo.svc.cluster.local:2746` | Argo Server API |
| `ARGO_NAMESPACE` | `ai-ml` | Namespace for Argo workflows |

Plus all standard handler-base settings (`NATS_URL`, `OTEL_*`, `HEALTH_PORT`, etc.).

## Build

```bash
go build -o pipeline-bridge .
```

## Test

```bash
go test -v -race ./...
```

## Docker

```bash
docker build -t pipeline-bridge .
```