PROMPT
You are working inside the `agents/sql2graph` package, a UV-managed Python project that turns relational schemas…
Build the release Docker image locally and/or publish it to Docker Hub
> /plugin marketplace add memgraph/ai-toolkit > /plugin install context-graph@context-graph-plugins
How it fires
How this agent gets triggered: by you, by Claude, or both.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Build the release Docker image locally and/or publish it to Docker Hub
description: Build the release Docker image locally and/or publish it to Docker Hub user-invocable: true
Read the current version from `pyproject.toml` (the `version` field under `[project]`). Before building, check with the user if that version is correct — they may want to bump it first (e.g. the pinned version in `Dockerfile` was changed manually).
Build the release image using the production `Dockerfile`:
docker build -f Dockerfile.local -t memgraph/structured2graph:<version> -t memgraph/structured2graph:latest .
This is sufficient when only the Docker setup changed (e.g. bumped the pinned PyPI version, changed system packages, or updated the base image) and you want to test locally before publishing.
Build and push multi-platform (amd64 + arm64) with both the version tag and `latest`:
docker buildx build --platform linux/amd64,linux/arm64 -t memgraph/structured2graph:<version> -t memgraph/structured2graph:latest --push .
Replace `<version>` with the confirmed version.
Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows.
You are working inside the `agents/sql2graph` package, a UV-managed Python project that turns relational schemas…
Run structured2graph in a background Docker container and exec into it