Using adk with spring boot ai 2.0.x does not seem to work as expected due to differing io.modelcontextprotocol.sdk versions #90
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| # Scans adk-java issues for spam/promotional content with the ADK Issue | |
| # Monitoring (Spam Detection) Agent sample under | |
| # contrib/samples/github/adkspam. | |
| # | |
| # Required repository secrets: | |
| # - GOOGLE_API_KEY : Gemini API key (or wire up Vertex AI credentials and | |
| # set GOOGLE_GENAI_USE_VERTEXAI=TRUE). | |
| # Labeling/commenting uses the built-in GITHUB_TOKEN (no secret to manage); the | |
| # `permissions:` block below grants it the `issues: write` scope it needs. Swap | |
| # in a PAT only if you specifically want the spam label/alert comment attributed | |
| # to a distinct bot identity. | |
| # | |
| # NOTE: the `spam` label (or whatever SPAM_LABEL_NAME is set to) must already | |
| # exist in the repository's labels; the agent applies it but does not create it. | |
| name: ADK Issue Monitoring (Spam Detection) Agent | |
| on: | |
| issues: | |
| types: [opened] | |
| schedule: | |
| # Run daily at 06:00 UTC, matching the Python issue-monitor workflow. | |
| - cron: '0 6 * * *' | |
| workflow_dispatch: | |
| inputs: | |
| full_scan: | |
| description: 'Audit ALL open issues (not just those updated in the last 24h).' | |
| required: false | |
| default: false | |
| type: boolean | |
| dry_run: | |
| description: 'Dry run: preview only. Set to false to actually create the issue and PRs.' | |
| required: false | |
| default: true | |
| type: boolean | |
| # Serialize runs that touch the same issue so the scheduled sweep can't race a | |
| # per-issue run on that issue. | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.issue.number || github.ref }} | |
| cancel-in-progress: false | |
| jobs: | |
| agent-scan-issues: | |
| runs-on: ubuntu-latest | |
| # Only run on the upstream repo, for newly-opened issues, the scheduled | |
| # sweep, or a manual dispatch. | |
| if: >- | |
| github.repository == 'google/adk-java' && ( | |
| github.event_name == 'schedule' || | |
| github.event_name == 'workflow_dispatch' || | |
| github.event.action == 'opened' | |
| ) | |
| permissions: | |
| issues: write | |
| contents: read | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v6 | |
| - name: Set up Java | |
| uses: actions/setup-java@v5 | |
| with: | |
| distribution: temurin | |
| java-version: '17' | |
| cache: maven | |
| - name: Run Spam Detection Agent | |
| env: | |
| # Built-in token scoped by the `permissions:` block above. Replace with a | |
| # PAT (e.g. ${{ secrets.ADK_TRIAGE_AGENT }}) only if you need a distinct | |
| # bot identity for the label/comment actions. | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }} | |
| GOOGLE_GENAI_USE_VERTEXAI: '0' | |
| OWNER: ${{ github.repository_owner }} | |
| REPO: ${{ github.event.repository.name }} | |
| INTERACTIVE: '0' | |
| # Defaults to a dry run (logs intended labels/comments without writing). | |
| # Verify the pipeline, then set DRY_RUN to '0' to go live. | |
| DRY_RUN: ${{ github.event.inputs.dry_run || 'true' }} | |
| EVENT_NAME: ${{ github.event_name }} | |
| ISSUE_NUMBER: ${{ github.event.issue.number }} | |
| ISSUE_TITLE: ${{ github.event.issue.title }} | |
| ISSUE_BODY: ${{ github.event.issue.body }} | |
| # Mapped to the manual-dispatch checkbox. On the daily schedule this is | |
| # empty, so only issues updated in the last 24h are audited. | |
| INITIAL_FULL_SCAN: ${{ github.event.inputs.full_scan }} | |
| run: | | |
| # Install the ADK libs + this sample, then run exec:java scoped to this | |
| # module (exec:java with -am would also run on the parent/core modules, | |
| # which have no mainClass). | |
| ./mvnw -B -q -pl contrib/samples/github/adkspam -am install -DskipTests | |
| ./mvnw -B -q -pl contrib/samples/github/adkspam exec:java |