diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index cb71de06ca..6db6d3aa79 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -1,4 +1,4 @@ -FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim +FROM ghcr.io/astral-sh/uv:python3.14-bookworm-slim # Set timezone ENV TZ=UTC diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 7482586272..ae7f95d2f7 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -11,7 +11,7 @@ on: description: "Python Versions" required: false type: string - default: "['3.10']" + default: "['3.10', '3.14']" frontend-tests-folder: description: "Frontend Tests Folder" required: false @@ -50,7 +50,7 @@ on: description: "Python Versions" required: false type: string - default: "['3.10']" + default: "['3.10', '3.14']" runs-on: description: "Runner to use for the tests" required: false @@ -261,7 +261,7 @@ jobs: ) uses: ./.github/workflows/python_test.yml with: - python-versions: ${{ inputs.python-versions || '["3.10"]' }} + python-versions: ${{ inputs.python-versions || '["3.10", "3.14"]' }} runs-on: ${{ inputs['runs-on'] || github.event.inputs['runs-on'] || 'ubuntu-latest' }} ref: ${{ inputs.ref || github.ref }} secrets: diff --git a/.github/workflows/cross-platform-test.yml b/.github/workflows/cross-platform-test.yml index 01d39bb40f..46aa680c8f 100644 --- a/.github/workflows/cross-platform-test.yml +++ b/.github/workflows/cross-platform-test.yml @@ -584,9 +584,26 @@ jobs: uv venv test-env --seed shell: bash - # Wheel installation steps — install langflow-sdk before LFX (sdk is not yet on PyPI) - - name: Install langflow-sdk from wheel (Windows) - if: steps.install-method.outputs.method == 'wheel' && matrix.os == 'windows' && (inputs.sdk-artifact-name != '' || needs.build-if-needed.outputs.sdk-artifact-name != '') + # Wheel installation steps — install SDK and LFX together when both are present. + - name: Install SDK and LFX packages from wheel (Windows) + if: steps.install-method.outputs.method == 'wheel' && matrix.os == 'windows' && (inputs.sdk-artifact-name != '' || needs.build-if-needed.outputs.sdk-artifact-name != '') && (inputs.lfx-artifact-name != '' || needs.build-if-needed.outputs.lfx-artifact-name != '') + run: | + ls -la ./sdk-dist/ + find ./sdk-dist -name "*.whl" -type f + ls -la ./lfx-dist/ + find ./lfx-dist -name "*.whl" -type f + SDK_WHEEL_FILE=$(find ./sdk-dist -name "*.whl" -type f | head -1) + LFX_WHEEL_FILE=$(find ./lfx-dist -name "*.whl" -type f | head -1) + if [ -n "$SDK_WHEEL_FILE" ] && [ -n "$LFX_WHEEL_FILE" ]; then + uv pip install --prerelease=allow --python ./test-env/Scripts/python.exe "$SDK_WHEEL_FILE" "$LFX_WHEEL_FILE" + else + echo "Missing wheel file in ./sdk-dist/ or ./lfx-dist/" + exit 1 + fi + shell: bash + + - name: Install SDK package from wheel (Windows) + if: steps.install-method.outputs.method == 'wheel' && matrix.os == 'windows' && (inputs.sdk-artifact-name != '' || needs.build-if-needed.outputs.sdk-artifact-name != '') && (inputs.lfx-artifact-name == '' && needs.build-if-needed.outputs.lfx-artifact-name == '') run: | WHEEL_FILE=$(find ./sdk-dist -name "*.whl" -type f | head -1) if [ -n "$WHEEL_FILE" ]; then @@ -597,8 +614,25 @@ jobs: fi shell: bash - - name: Install langflow-sdk from wheel (Unix) - if: steps.install-method.outputs.method == 'wheel' && matrix.os != 'windows' && (inputs.sdk-artifact-name != '' || needs.build-if-needed.outputs.sdk-artifact-name != '') + - name: Install SDK and LFX packages from wheel (Unix) + if: steps.install-method.outputs.method == 'wheel' && matrix.os != 'windows' && (inputs.sdk-artifact-name != '' || needs.build-if-needed.outputs.sdk-artifact-name != '') && (inputs.lfx-artifact-name != '' || needs.build-if-needed.outputs.lfx-artifact-name != '') + run: | + ls -la ./sdk-dist/ + find ./sdk-dist -name "*.whl" -type f + ls -la ./lfx-dist/ + find ./lfx-dist -name "*.whl" -type f + SDK_WHEEL_FILE=$(find ./sdk-dist -name "*.whl" -type f | head -1) + LFX_WHEEL_FILE=$(find ./lfx-dist -name "*.whl" -type f | head -1) + if [ -n "$SDK_WHEEL_FILE" ] && [ -n "$LFX_WHEEL_FILE" ]; then + uv pip install --prerelease=allow --python ./test-env/bin/python "$SDK_WHEEL_FILE" "$LFX_WHEEL_FILE" + else + echo "Missing wheel file in ./sdk-dist/ or ./lfx-dist/" + exit 1 + fi + shell: bash + + - name: Install SDK package from wheel (Unix) + if: steps.install-method.outputs.method == 'wheel' && matrix.os != 'windows' && (inputs.sdk-artifact-name != '' || needs.build-if-needed.outputs.sdk-artifact-name != '') && (inputs.lfx-artifact-name == '' && needs.build-if-needed.outputs.lfx-artifact-name == '') run: | WHEEL_FILE=$(find ./sdk-dist -name "*.whl" -type f | head -1) if [ -n "$WHEEL_FILE" ]; then @@ -610,7 +644,7 @@ jobs: shell: bash - name: Install LFX package from wheel (Windows) - if: steps.install-method.outputs.method == 'wheel' && matrix.os == 'windows' && (inputs.lfx-artifact-name != '' || needs.build-if-needed.outputs.lfx-artifact-name != '') + if: steps.install-method.outputs.method == 'wheel' && matrix.os == 'windows' && (inputs.lfx-artifact-name != '' || needs.build-if-needed.outputs.lfx-artifact-name != '') && (inputs.sdk-artifact-name == '' && needs.build-if-needed.outputs.sdk-artifact-name == '') run: | ls -la ./lfx-dist/ find ./lfx-dist -name "*.whl" -type f @@ -652,7 +686,7 @@ jobs: shell: bash - name: Install LFX package from wheel (Unix) - if: steps.install-method.outputs.method == 'wheel' && matrix.os != 'windows' && (inputs.lfx-artifact-name != '' || needs.build-if-needed.outputs.lfx-artifact-name != '') + if: steps.install-method.outputs.method == 'wheel' && matrix.os != 'windows' && (inputs.lfx-artifact-name != '' || needs.build-if-needed.outputs.lfx-artifact-name != '') && (inputs.sdk-artifact-name == '' && needs.build-if-needed.outputs.sdk-artifact-name == '') run: | ls -la ./lfx-dist/ find ./lfx-dist -name "*.whl" -type f @@ -701,11 +735,20 @@ jobs: LFX_WHEEL=$(find ./lfx-dist -name "*.whl" -type f | head -1) if [ -n "$LFX_WHEEL" ]; then echo "Force reinstalling LFX: $LFX_WHEEL" + INSTALL_WHEELS=("$LFX_WHEEL") + SDK_WHEEL="" + if [ -d ./sdk-dist ]; then + SDK_WHEEL=$(find ./sdk-dist -name "*.whl" -type f | head -1) + fi + if [ -n "$SDK_WHEEL" ]; then + echo "Force reinstalling langflow-sdk with LFX: $SDK_WHEEL" + INSTALL_WHEELS=("$SDK_WHEEL" "$LFX_WHEEL") + fi NO_DEPS="--no-deps" if [ "${{ inputs.pre_release }}" = "true" ]; then NO_DEPS="" fi - uv pip install --force-reinstall $NO_DEPS --prerelease=allow --python ./test-env/Scripts/python.exe "$LFX_WHEEL" + uv pip install --force-reinstall $NO_DEPS --prerelease=allow --python ./test-env/Scripts/python.exe "${INSTALL_WHEELS[@]}" fi fi @@ -729,11 +772,20 @@ jobs: LFX_WHEEL=$(find ./lfx-dist -name "*.whl" -type f | head -1) if [ -n "$LFX_WHEEL" ]; then echo "Force reinstalling LFX: $LFX_WHEEL" + INSTALL_WHEELS=("$LFX_WHEEL") + SDK_WHEEL="" + if [ -d ./sdk-dist ]; then + SDK_WHEEL=$(find ./sdk-dist -name "*.whl" -type f | head -1) + fi + if [ -n "$SDK_WHEEL" ]; then + echo "Force reinstalling langflow-sdk with LFX: $SDK_WHEEL" + INSTALL_WHEELS=("$SDK_WHEEL" "$LFX_WHEEL") + fi NO_DEPS="--no-deps" if [ "${{ inputs.pre_release }}" = "true" ]; then NO_DEPS="" fi - uv pip install --force-reinstall $NO_DEPS --prerelease=allow --python ./test-env/bin/python "$LFX_WHEEL" + uv pip install --force-reinstall $NO_DEPS --prerelease=allow --python ./test-env/bin/python "${INSTALL_WHEELS[@]}" fi fi diff --git a/.github/workflows/integration_tests.yml b/.github/workflows/integration_tests.yml index 0c322cc731..5139d105ad 100644 --- a/.github/workflows/integration_tests.yml +++ b/.github/workflows/integration_tests.yml @@ -13,7 +13,7 @@ on: description: "(Optional) Python versions to test" required: true type: string - default: "['3.10', '3.11', '3.12', '3.13']" + default: "['3.10', '3.11', '3.12', '3.13', '3.14']" ref: description: "(Optional) ref to checkout" required: false diff --git a/.github/workflows/lint-py.yml b/.github/workflows/lint-py.yml index 1bbd96c50b..b5f004595f 100644 --- a/.github/workflows/lint-py.yml +++ b/.github/workflows/lint-py.yml @@ -19,6 +19,7 @@ jobs: strategy: matrix: python-version: + - "3.14" - "3.13" - "3.12" - "3.11" diff --git a/.github/workflows/nightly_build.yml b/.github/workflows/nightly_build.yml index cb1939a92b..e85ec6d40b 100644 --- a/.github/workflows/nightly_build.yml +++ b/.github/workflows/nightly_build.yml @@ -258,7 +258,7 @@ jobs: needs: [resolve-release-branch, create-nightly-tag] uses: ./.github/workflows/python_test.yml with: - python-versions: '["3.10", "3.11", "3.12", "3.13"]' + python-versions: '["3.10", "3.11", "3.12", "3.13", "3.14"]' runs-on: ${{ inputs['runs_on'] || github.event.inputs['runs_on'] || 'ubuntu-latest' }} ref: ${{ needs.resolve-release-branch.outputs.branch }} secrets: diff --git a/.github/workflows/python_test.yml b/.github/workflows/python_test.yml index df5b997ee3..4063fec810 100644 --- a/.github/workflows/python_test.yml +++ b/.github/workflows/python_test.yml @@ -14,7 +14,7 @@ on: description: "(Optional) Python versions to test" required: true type: string - default: "['3.10', '3.11', '3.12', '3.13']" + default: "['3.10', '3.11', '3.12', '3.13', '3.14']" ref: description: "(Optional) ref to checkout" required: false @@ -35,7 +35,7 @@ on: description: "(Optional) Python versions to test" required: true type: string - default: "['3.10', '3.11', '3.12', '3.13']" + default: "['3.10', '3.11', '3.12', '3.13', '3.14']" runs-on: description: "Runner to use for the tests" required: false @@ -58,7 +58,7 @@ jobs: runs-on: ${{ (inputs['runs-on'] && startsWith(format('{0}', inputs['runs-on']), '[') && fromJSON(inputs['runs-on'])) || inputs['runs-on'] || github.event.inputs['runs-on'] || 'ubuntu-latest' }} strategy: matrix: - python-version: ${{ fromJson(inputs.python-versions || '["3.10", "3.11", "3.12", "3.13"]' ) }} + python-version: ${{ fromJson(inputs.python-versions || '["3.10", "3.11", "3.12", "3.13", "3.14"]') }} splitCount: [5] group: [1, 2, 3, 4, 5] steps: @@ -123,7 +123,7 @@ jobs: runs-on: ${{ (inputs['runs-on'] && startsWith(format('{0}', inputs['runs-on']), '[') && fromJSON(inputs['runs-on'])) || inputs['runs-on'] || github.event.inputs['runs-on'] || 'ubuntu-latest' }} strategy: matrix: - python-version: ${{ fromJson(inputs.python-versions || '["3.10", "3.11", "3.12", "3.13"]' ) }} + python-version: ${{ fromJson(inputs.python-versions || '["3.10", "3.11", "3.12", "3.13", "3.14"]') }} steps: - uses: actions/checkout@v6 with: @@ -148,7 +148,7 @@ jobs: runs-on: ${{ (inputs['runs-on'] && startsWith(format('{0}', inputs['runs-on']), '[') && fromJSON(inputs['runs-on'])) || inputs['runs-on'] || github.event.inputs['runs-on'] || 'ubuntu-latest' }} strategy: matrix: - python-version: ${{ fromJson(inputs.python-versions || '["3.10", "3.11", "3.12", "3.13"]' ) }} + python-version: ${{ fromJson(inputs.python-versions || '["3.10", "3.11", "3.12", "3.13", "3.14"]') }} steps: - uses: actions/checkout@v6 with: @@ -191,7 +191,7 @@ jobs: runs-on: ${{ (inputs['runs-on'] && startsWith(format('{0}', inputs['runs-on']), '[') && fromJSON(inputs['runs-on'])) || inputs['runs-on'] || github.event.inputs['runs-on'] || 'ubuntu-latest' }} strategy: matrix: - python-version: ${{ fromJson(inputs.python-versions || '["3.10", "3.11", "3.12", "3.13"]') }} + python-version: ${{ fromJson(inputs.python-versions || '["3.10", "3.11", "3.12", "3.13", "3.14"]') }} steps: - name: Check out the code at a specific ref uses: actions/checkout@v6 diff --git a/.github/workflows/release-lfx.yml b/.github/workflows/release-lfx.yml index 143434acf7..fd7c11b8bf 100644 --- a/.github/workflows/release-lfx.yml +++ b/.github/workflows/release-lfx.yml @@ -92,7 +92,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.10", "3.11", "3.12", "3.13"] + python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] steps: - name: Checkout code uses: actions/checkout@v6 diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 2c52f0b9df..504103ac4c 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -383,7 +383,7 @@ jobs: uses: ./.github/workflows/ci.yml with: ref: ${{ inputs.release_tag }} - python-versions: "['3.10', '3.11', '3.12', '3.13']" + python-versions: "['3.10', '3.11', '3.12', '3.13', '3.14']" frontend-tests-folder: "tests" release: true run-all-tests: true @@ -445,7 +445,10 @@ jobs: uv venv test-env --seed uv pip install --python ./test-env/bin/python dist/*.whl EXPECTED_VERSION="${{ needs.determine-sdk-version.outputs.version }}" - ./test-env/bin/python -c "from importlib.metadata import version; import langflow_sdk; installed_version = version('langflow-sdk'); print(f'langflow-sdk {installed_version} imported successfully'); assert installed_version == '$EXPECTED_VERSION', f'Installed version {installed_version} does not match expected version $EXPECTED_VERSION'" + # importlib.metadata returns the PEP 440 canonical form, so normalize + # the expected version the same way the wheel filename check does. + NORMALIZED_VERSION=$(echo "$EXPECTED_VERSION" | sed 's/\.rc/rc/g; s/\.a/a/g; s/\.b/b/g; s/\.dev/dev/g') + ./test-env/bin/python -c "from importlib.metadata import version; import langflow_sdk; installed_version = version('langflow-sdk'); print(f'langflow-sdk {installed_version} imported successfully'); assert installed_version == '$NORMALIZED_VERSION', f'Installed version {installed_version} does not match expected version $NORMALIZED_VERSION'" - name: Upload Artifact uses: actions/upload-artifact@v6 with: diff --git a/.secrets.baseline b/.secrets.baseline index ddfe3d0285..5f03c909df 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -237,7 +237,7 @@ "filename": "docker_example/docker-compose.yml", "hashed_secret": "e80c4f90316c87b6b24d03890493c8d1c7c1c99d", "is_verified": false, - "line_number": 20, + "line_number": 24, "is_secret": false } ], @@ -247,7 +247,7 @@ "filename": "docker_example/pre.docker-compose.yml", "hashed_secret": "e80c4f90316c87b6b24d03890493c8d1c7c1c99d", "is_verified": false, - "line_number": 21, + "line_number": 25, "is_secret": false } ], @@ -2326,6 +2326,14 @@ "hashed_secret": "d6e6d7b4b115cd3b9d172623199f8c403055fecc", "is_verified": false, "line_number": 403 + }, + { + "type": "Hex High Entropy String", + "filename": "src/backend/base/langflow/initial_setup/starter_projects/SaaS Pricing.json", + "hashed_secret": "de5b1f2ea12440f0a19893e82535166ea24c7ce3", + "is_verified": false, + "line_number": 720, + "is_secret": false } ], "src/backend/base/langflow/initial_setup/starter_projects/Search agent.json": [ @@ -2362,6 +2370,14 @@ "line_number": 2970, "is_secret": false }, + { + "type": "Hex High Entropy String", + "filename": "src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json", + "hashed_secret": "de5b1f2ea12440f0a19893e82535166ea24c7ce3", + "is_verified": false, + "line_number": 3206, + "is_secret": false + }, { "type": "Hex High Entropy String", "filename": "src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json", @@ -2371,6 +2387,14 @@ } ], "src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json": [ + { + "type": "Hex High Entropy String", + "filename": "src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json", + "hashed_secret": "de5b1f2ea12440f0a19893e82535166ea24c7ce3", + "is_verified": false, + "line_number": 203, + "is_secret": false + }, { "type": "Hex High Entropy String", "filename": "src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json", @@ -2444,6 +2468,14 @@ "hashed_secret": "d6e6d7b4b115cd3b9d172623199f8c403055fecc", "is_verified": false, "line_number": 501 + }, + { + "type": "Hex High Entropy String", + "filename": "src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json", + "hashed_secret": "de5b1f2ea12440f0a19893e82535166ea24c7ce3", + "is_verified": false, + "line_number": 1263, + "is_secret": false } ], "src/backend/base/langflow/initial_setup/starter_projects/Twitter Thread Generator.json": [ @@ -3103,6 +3135,16 @@ "is_secret": false } ], + "src/backend/tests/unit/base/models/test_model_utils.py": [ + { + "type": "Secret Keyword", + "filename": "src/backend/tests/unit/base/models/test_model_utils.py", + "hashed_secret": "c053ecf9ed41df0311b9df13cc6c3b6078d2d3c2", + "is_verified": false, + "line_number": 96, + "is_secret": false + } + ], "src/backend/tests/unit/components/bundles/agentics/test_llm_factory.py": [ { "type": "Secret Keyword", @@ -3211,7 +3253,7 @@ "filename": "src/backend/tests/unit/components/files_and_knowledge/test_retrieval.py", "hashed_secret": "3658a95db0b214e73694335448df084f979c526f", "is_verified": false, - "line_number": 350, + "line_number": 358, "is_secret": false }, { @@ -3219,7 +3261,7 @@ "filename": "src/backend/tests/unit/components/files_and_knowledge/test_retrieval.py", "hashed_secret": "3d3c09dc9101fcd18909dd4071d6429141ec1bef", "is_verified": false, - "line_number": 418, + "line_number": 427, "is_secret": false }, { @@ -3227,7 +3269,7 @@ "filename": "src/backend/tests/unit/components/files_and_knowledge/test_retrieval.py", "hashed_secret": "b871b1863882c37735c7754f2cb49d38356e7f1e", "is_verified": false, - "line_number": 799, + "line_number": 810, "is_secret": false } ], @@ -8245,5 +8287,5 @@ } ] }, - "generated_at": "2026-04-24T19:11:48Z" + "generated_at": "2026-05-15T00:15:30Z" } diff --git a/docker/build_and_push.Dockerfile b/docker/build_and_push.Dockerfile index ce9405e314..62d28c8198 100644 --- a/docker/build_and_push.Dockerfile +++ b/docker/build_and_push.Dockerfile @@ -9,7 +9,7 @@ # 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved # 2. do not add --platform=$BUILDPLATFORM because the pydantic binaries must be resolved for the final architecture # Use a Python image with uv pre-installed -FROM ghcr.io/astral-sh/uv:python3.12-trixie-slim AS builder +FROM ghcr.io/astral-sh/uv:python3.14-trixie-slim AS builder # Install the project into `/app` WORKDIR /app @@ -75,7 +75,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \ # RUNTIME # Setup user, utilities and copy the virtual environment only ################################ -FROM python:3.12-slim-trixie AS runtime +FROM python:3.14-slim-trixie AS runtime RUN apt-get update \ @@ -113,4 +113,3 @@ ENV LANGFLOW_HOST=0.0.0.0 ENV LANGFLOW_PORT=7860 CMD ["langflow", "run"] - diff --git a/docker/build_and_push_backend.Dockerfile b/docker/build_and_push_backend.Dockerfile index 2fae03032d..0fe2a39ec5 100644 --- a/docker/build_and_push_backend.Dockerfile +++ b/docker/build_and_push_backend.Dockerfile @@ -8,7 +8,7 @@ ################################ # BUILDER ################################ -FROM ghcr.io/astral-sh/uv:python3.12-trixie-slim AS builder +FROM ghcr.io/astral-sh/uv:python3.14-trixie-slim AS builder WORKDIR /app @@ -44,7 +44,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \ ################################ # RUNTIME ################################ -FROM python:3.12-slim-trixie AS runtime +FROM python:3.14-slim-trixie AS runtime # Install minimal runtime dependencies RUN apt-get update \ diff --git a/docker/build_and_push_base.Dockerfile b/docker/build_and_push_base.Dockerfile index 228c86fdd8..4ab6369b2b 100644 --- a/docker/build_and_push_base.Dockerfile +++ b/docker/build_and_push_base.Dockerfile @@ -10,7 +10,7 @@ # 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved # 2. do not add --platform=$BUILDPLATFORM because the pydantic binaries must be resolved for the final architecture # Use a Python image with uv pre-installed -FROM ghcr.io/astral-sh/uv:python3.12-trixie-slim AS builder +FROM ghcr.io/astral-sh/uv:python3.14-trixie-slim AS builder # Install the project into `/app` WORKDIR /app @@ -77,7 +77,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \ # RUNTIME # Setup user, utilities and copy the virtual environment only ################################ -FROM python:3.12-slim-trixie AS runtime +FROM python:3.14-slim-trixie AS runtime RUN apt-get update \ diff --git a/docker/build_and_push_ep.Dockerfile b/docker/build_and_push_ep.Dockerfile index fd0c053669..b88a14fae5 100644 --- a/docker/build_and_push_ep.Dockerfile +++ b/docker/build_and_push_ep.Dockerfile @@ -9,7 +9,7 @@ # 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved # 2. do not add --platform=$BUILDPLATFORM because the pydantic binaries must be resolved for the final architecture # Use a Python image with uv pre-installed -FROM ghcr.io/astral-sh/uv:python3.12-trixie-slim AS builder +FROM ghcr.io/astral-sh/uv:python3.14-trixie-slim AS builder # Install the project into `/app` WORKDIR /app @@ -72,7 +72,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \ # RUNTIME # Setup user, utilities and copy the virtual environment only ################################ -FROM python:3.12-slim-trixie AS runtime +FROM python:3.14-slim-trixie AS runtime RUN apt-get update \ && apt-get upgrade -y \ diff --git a/docker/build_and_push_with_extras.Dockerfile b/docker/build_and_push_with_extras.Dockerfile index 84af837d63..48e016b796 100644 --- a/docker/build_and_push_with_extras.Dockerfile +++ b/docker/build_and_push_with_extras.Dockerfile @@ -9,7 +9,7 @@ # 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved # 2. do not add --platform=$BUILDPLATFORM because the pydantic binaries must be resolved for the final architecture # Use a Python image with uv pre-installed -FROM ghcr.io/astral-sh/uv:python3.12-trixie-slim AS builder +FROM ghcr.io/astral-sh/uv:python3.14-trixie-slim AS builder # Install the project into `/app` WORKDIR /app @@ -72,7 +72,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \ # RUNTIME # Setup user, utilities and copy the virtual environment only ################################ -FROM python:3.12-slim-trixie AS runtime +FROM python:3.14-slim-trixie AS runtime RUN apt-get update \ diff --git a/docker/dev.Dockerfile b/docker/dev.Dockerfile index a14e73b7d4..f92368ae3f 100644 --- a/docker/dev.Dockerfile +++ b/docker/dev.Dockerfile @@ -1,4 +1,4 @@ -FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim +FROM ghcr.io/astral-sh/uv:python3.14-bookworm-slim ENV TZ=UTC WORKDIR /app diff --git a/docker_example/README.md b/docker_example/README.md index 622f7afd63..f91d2acfe5 100644 --- a/docker_example/README.md +++ b/docker_example/README.md @@ -48,7 +48,7 @@ Volumes: ### PostgreSQL Service -The `postgres` service uses the `postgres:16` Docker image and exposes port 5432. +The `postgres` service uses the `postgres:16-trixie` Docker image and exposes port 5432. The image is pinned to a specific Debian base (`trixie`, Debian 13) so the `postgres:16` tag cannot silently roll its underlying OS, which would otherwise produce a glibc collation version mismatch warning on existing data volumes. Environment variables: @@ -60,6 +60,26 @@ Volumes: - `langflow-postgres`: This volume is mapped to `/var/lib/postgresql/data` in the container. +### Upgrading from a `bookworm`-initialized volume + +Earlier versions of this example used `postgres:16`, which initially shipped on Debian Bookworm (glibc 2.36). The pinned image now uses Trixie (glibc 2.41). On the first start against a volume that was initialized under Bookworm, PostgreSQL logs a one-time warning: + +``` +WARNING: database "langflow" has a collation version mismatch +DETAIL: The database was created using collation version 2.36, but the operating system provides version 2.41. +``` + +To clear it, refresh the collation version against the running database (one-off, takes seconds on a typical Langflow database): + +```sh +docker compose exec postgres \ + psql -U langflow -d langflow \ + -c "REINDEX DATABASE langflow;" \ + -c "ALTER DATABASE langflow REFRESH COLLATION VERSION;" +``` + +Fresh installs are unaffected. + ## Switching to a Specific LangFlow Version If you want to use a specific version of LangFlow, you can modify the `image` field under the `langflow` service in the Docker Compose file. For example, to use version 1.0-alpha, change `langflowai/langflow:latest` to `langflowai/langflow:1.0-alpha`. diff --git a/docker_example/docker-compose.yml b/docker_example/docker-compose.yml index 342e430a91..9ab0471209 100644 --- a/docker_example/docker-compose.yml +++ b/docker_example/docker-compose.yml @@ -14,7 +14,11 @@ services: - langflow-data:/app/langflow postgres: - image: postgres:16 + # Pinned to a specific Debian base (trixie) so the postgres:16 tag does not + # silently roll its OS underneath us — that roll causes a glibc collation + # version mismatch warning on existing volumes. Matches the langflow image + # base. See https://github.com/langflow-ai/langflow/issues/9608 + image: postgres:16-trixie environment: POSTGRES_USER: langflow POSTGRES_PASSWORD: langflow diff --git a/docker_example/pre.docker-compose.yml b/docker_example/pre.docker-compose.yml index 3df573df53..14d5bb3368 100644 --- a/docker_example/pre.docker-compose.yml +++ b/docker_example/pre.docker-compose.yml @@ -15,7 +15,11 @@ services: - langflow-data:/app/langflow postgres: - image: postgres:16 + # Pinned to a specific Debian base (trixie) so the postgres:16 tag does not + # silently roll its OS underneath us — that roll causes a glibc collation + # version mismatch warning on existing volumes. Matches the langflow image + # base. See https://github.com/langflow-ai/langflow/issues/9608 + image: postgres:16-trixie environment: POSTGRES_USER: langflow POSTGRES_PASSWORD: langflow diff --git a/docs/docs/Deployment/deployment-docker.mdx b/docs/docs/Deployment/deployment-docker.mdx index 6a58e5ea48..44b6a59d0e 100644 --- a/docs/docs/Deployment/deployment-docker.mdx +++ b/docs/docs/Deployment/deployment-docker.mdx @@ -232,7 +232,10 @@ For example, this Docker Compose file uses a bind mount for Langflow data (`./la volumes: - ./langflow-data:/app/langflow postgres: - image: postgres:16 + # Pinned to a specific Debian base (trixie) so the postgres:16 tag does + # not silently roll its OS, which triggers a glibc collation mismatch + # warning on existing volumes. See https://github.com/langflow-ai/langflow/issues/9608 + image: postgres:16-trixie volumes: - langflow-postgres:/var/lib/postgresql/data diff --git a/docs/docs/Develop/configuration-custom-database.mdx b/docs/docs/Develop/configuration-custom-database.mdx index 5ac46ccad0..2b00e19933 100644 --- a/docs/docs/Develop/configuration-custom-database.mdx +++ b/docs/docs/Develop/configuration-custom-database.mdx @@ -124,7 +124,10 @@ For example: ```yaml services: postgres: - image: postgres:16 + # Pinned to a specific Debian base (trixie) so the postgres:16 tag does + # not silently roll its OS, which triggers a glibc collation mismatch + # warning on existing volumes. See https://github.com/langflow-ai/langflow/issues/9608 + image: postgres:16-trixie environment: - POSTGRES_USER=${POSTGRES_USER} - POSTGRES_PASSWORD=${POSTGRES_PASSWORD} diff --git a/docs/docs/Develop/enterprise-database-guide.mdx b/docs/docs/Develop/enterprise-database-guide.mdx index 071063b945..03e971ffc2 100644 --- a/docs/docs/Develop/enterprise-database-guide.mdx +++ b/docs/docs/Develop/enterprise-database-guide.mdx @@ -67,7 +67,10 @@ For more information, see [Configure an external PostgreSQL database](/configura environment: - LANGFLOW_DATABASE_URL=postgresql://langflow:langflow@postgres:5432/langflow postgres: - image: postgres:16 + # Pinned to a specific Debian base (trixie) so the postgres:16 tag does + # not silently roll its OS, which triggers a glibc collation mismatch + # warning on existing volumes. See https://github.com/langflow-ai/langflow/issues/9608 + image: postgres:16-trixie ports: - "5432:5432" environment: diff --git a/docs/docs/Develop/integrations-langfuse.mdx b/docs/docs/Develop/integrations-langfuse.mdx index 2a4e3f52ce..58de67dd22 100644 --- a/docs/docs/Develop/integrations-langfuse.mdx +++ b/docs/docs/Develop/integrations-langfuse.mdx @@ -107,7 +107,10 @@ As an alternative to the previous setup, particularly for self-hosted Langfuse, - langflow-data:/app/langflow postgres: - image: postgres:16 + # Pinned to a specific Debian base (trixie) so the postgres:16 tag does + # not silently roll its OS, which triggers a glibc collation mismatch + # warning on existing volumes. See https://github.com/langflow-ai/langflow/issues/9608 + image: postgres:16-trixie environment: POSTGRES_USER: langflow POSTGRES_PASSWORD: langflow diff --git a/docs/package-lock.json b/docs/package-lock.json index 24111f0742..d03a3c3b01 100644 --- a/docs/package-lock.json +++ b/docs/package-lock.json @@ -3662,6 +3662,12 @@ "url": "https://opencollective.com/core-js" } }, + "node_modules/@docusaurus/core/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/@docusaurus/cssnano-preset": { "version": "3.9.2", "resolved": "https://registry.npmjs.org/@docusaurus/cssnano-preset/-/cssnano-preset-3.9.2.tgz", @@ -3772,6 +3778,12 @@ "react-dom": "^18.0.0 || ^19.0.0" } }, + "node_modules/@docusaurus/plugin-client-redirects/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/@docusaurus/plugin-content-blog": { "version": "3.9.2", "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-blog/-/plugin-content-blog-3.9.2.tgz", @@ -3846,6 +3858,12 @@ "entities": "^4.4.0" } }, + "node_modules/@docusaurus/plugin-content-blog/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/@docusaurus/plugin-content-docs": { "version": "3.9.2", "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-docs/-/plugin-content-docs-3.9.2.tgz", @@ -3880,6 +3898,12 @@ "react-dom": "^18.0.0 || ^19.0.0" } }, + "node_modules/@docusaurus/plugin-content-docs/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/@docusaurus/plugin-content-pages": { "version": "3.9.2", "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-pages/-/plugin-content-pages-3.9.2.tgz", @@ -4124,6 +4148,12 @@ "node": ">=6" } }, + "node_modules/@docusaurus/theme-classic/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/@docusaurus/theme-classic/node_modules/prism-react-renderer": { "version": "2.4.1", "resolved": "https://registry.npmjs.org/prism-react-renderer/-/prism-react-renderer-2.4.1.tgz", @@ -4228,6 +4258,12 @@ "node": ">=6" } }, + "node_modules/@docusaurus/theme-search-algolia/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/@docusaurus/theme-translations": { "version": "3.9.2", "resolved": "https://registry.npmjs.org/@docusaurus/theme-translations/-/theme-translations-3.9.2.tgz", @@ -4351,6 +4387,12 @@ "node": ">=20.0" } }, + "node_modules/@docusaurus/utils-validation/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/@docusaurus/utils/node_modules/escape-string-regexp": { "version": "4.0.0", "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-4.0.0.tgz", @@ -4363,6 +4405,12 @@ "url": "https://github.com/sponsors/sindresorhus" } }, + "node_modules/@docusaurus/utils/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/@easyops-cn/autocomplete.js": { "version": "0.38.1", "resolved": "https://registry.npmjs.org/@easyops-cn/autocomplete.js/-/autocomplete.js-0.38.1.tgz", @@ -6703,10 +6751,13 @@ } }, "node_modules/balanced-match": { - "version": "1.0.2", - "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz", - "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==", - "license": "MIT" + "version": "4.0.4", + "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-4.0.4.tgz", + "integrity": "sha512-BLrgEcRTwX2o6gGxGOCNyMvGSp35YofuYzw9h1IMTRmKqttAZZVU67bdb9Pr2vUHA8+j3i2tJfjO6C6+4myGTA==", + "license": "MIT", + "engines": { + "node": "18 || 20 || >=22" + } }, "node_modules/base64-js": { "version": "1.5.1", @@ -6910,12 +6961,15 @@ } }, "node_modules/brace-expansion": { - "version": "2.0.2", - "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.2.tgz", - "integrity": "sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ==", + "version": "5.0.5", + "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-5.0.5.tgz", + "integrity": "sha512-VZznLgtwhn+Mact9tfiwx64fA9erHH/MCXEUfB/0bX/6Fz6ny5EGTXYltMocqg4xFAQZtnO3DHWWXi8RiuN7cQ==", "license": "MIT", "dependencies": { - "balanced-match": "^1.0.0" + "balanced-match": "^4.0.2" + }, + "engines": { + "node": "18 || 20 || >=22" } }, "node_modules/braces": { @@ -7734,12 +7788,6 @@ "integrity": "sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==", "license": "MIT" }, - "node_modules/concat-map": { - "version": "0.0.1", - "resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz", - "integrity": "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==", - "license": "MIT" - }, "node_modules/config-chain": { "version": "1.1.13", "resolved": "https://registry.npmjs.org/config-chain/-/config-chain-1.1.13.tgz", @@ -9038,6 +9086,12 @@ "integrity": "sha512-GWkBvjiSZK87ELrYOSESUYeVIc9mvLLf/nXalMOS5dYrgZq9o5OVkbZAVM06CVxYsCwH9BDZFPlQTlPA1j4ahA==", "license": "MIT" }, + "node_modules/docusaurus-theme-redoc/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/docusaurus-theme-redoc/node_modules/marked": { "version": "4.3.0", "resolved": "https://registry.npmjs.org/marked/-/marked-4.3.0.tgz", @@ -11022,6 +11076,12 @@ } } }, + "node_modules/html-webpack-plugin/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/htmlparser2": { "version": "10.0.0", "resolved": "https://registry.npmjs.org/htmlparser2/-/htmlparser2-10.0.0.tgz", @@ -12070,12 +12130,6 @@ "url": "https://github.com/sponsors/sindresorhus" } }, - "node_modules/lodash": { - "version": "4.17.21", - "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", - "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", - "license": "MIT" - }, "node_modules/lodash.debounce": { "version": "4.0.8", "resolved": "https://registry.npmjs.org/lodash.debounce/-/lodash.debounce-4.0.8.tgz", @@ -13624,16 +13678,6 @@ "node": "*" } }, - "node_modules/minimatch/node_modules/brace-expansion": { - "version": "1.1.12", - "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.12.tgz", - "integrity": "sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg==", - "license": "MIT", - "dependencies": { - "balanced-match": "^1.0.0", - "concat-map": "0.0.1" - } - }, "node_modules/minimist": { "version": "1.2.8", "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.8.tgz", @@ -14818,12 +14862,12 @@ "license": "ISC" }, "node_modules/picomatch": { - "version": "2.3.1", - "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz", - "integrity": "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==", + "version": "4.0.4", + "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.4.tgz", + "integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==", "license": "MIT", "engines": { - "node": ">=8.6" + "node": ">=12" }, "funding": { "url": "https://github.com/sponsors/jonschlinkert" @@ -16529,6 +16573,12 @@ "renderkid": "^3.0.0" } }, + "node_modules/pretty-error/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/pretty-time": { "version": "1.1.0", "resolved": "https://registry.npmjs.org/pretty-time/-/pretty-time-1.1.0.tgz", @@ -17502,6 +17552,12 @@ "entities": "^2.0.0" } }, + "node_modules/renderkid/node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, "node_modules/repeat-string": { "version": "1.6.1", "resolved": "https://registry.npmjs.org/repeat-string/-/repeat-string-1.6.1.tgz", diff --git a/docs/package.json b/docs/package.json index 5185fc19ab..15e691f666 100644 --- a/docs/package.json +++ b/docs/package.json @@ -54,19 +54,21 @@ "node": "22.22.0" }, "overrides": { - "lodash": "4.18.0", + "brace-expansion": "^5.0.5", + "picomatch": "^4.0.4", + "lodash": "4.17.21", "fast-xml-parser": "4.5.4", "openapi-to-postmanv2": { - "lodash": "4.18.0" + "lodash": "4.17.21" }, "postman-collection": { - "lodash": "4.18.0" + "lodash": "4.17.21" }, "json-schema-resolve-allof": { - "lodash": "4.18.0" + "lodash": "4.17.21" }, "json-refs": { - "lodash": "4.18.0" + "lodash": "4.17.21" } } } diff --git a/docs/versioned_docs/version-1.9.0/Develop/api-keys-and-authentication.mdx b/docs/versioned_docs/version-1.9.0/Develop/api-keys-and-authentication.mdx index 826ac3d0f9..4a5f16ac05 100644 --- a/docs/versioned_docs/version-1.9.0/Develop/api-keys-and-authentication.mdx +++ b/docs/versioned_docs/version-1.9.0/Develop/api-keys-and-authentication.mdx @@ -454,9 +454,15 @@ LANGFLOW_CORS_ALLOW_METHODS=["GET","POST","PUT"] The following environment variables configure Server-Side Request Forgery (SSRF) protection for the [**API Request** component](/api-request). SSRF protection prevents requests to internal or private network resources, such as private IP ranges, loopback addresses, and cloud metadata endpoints. +:::warning +As of Langflow 1.9.3, SSRF protection is enabled by default and includes DNS rebinding prevention through IP pinning. + +If you are upgrading to Langflow 1.9.3 and your flows use the [**API Request** component](/api-request) to call resources that would be blocked by SSRF protection, add those hosts to `LANGFLOW_SSRF_ALLOWED_HOSTS` before upgrading to avoid disruption. +::: + | Variable | Format | Default | Description | |----------|--------|---------|-------------| -| `LANGFLOW_SSRF_PROTECTION_ENABLED` | Boolean | `False` | Enable SSRF protection for the **API Request** component. When enabled, the component blocks requests to private IP addresses. When disabled, requests are not blocked. | +| `LANGFLOW_SSRF_PROTECTION_ENABLED` | Boolean | `True` | Enable SSRF protection for the **API Request** component. When enabled, the component blocks requests to private IP addresses. When disabled, requests are not blocked. | | `LANGFLOW_SSRF_ALLOWED_HOSTS` | List[String] | Not set | A comma-separated list of allowed hosts, IP addresses, or CIDR ranges that can bypass SSRF protection checks. For example: `192.168.1.0/24,10.0.0.5,*.internal.company.local`.| ### LANGFLOW_WEBHOOK_AUTH_ENABLE {#langflow-webhook-auth-enable} diff --git a/pyproject.toml b/pyproject.toml index 2bd669db72..b81f4cfe08 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,8 +1,8 @@ [project] name = "langflow" -version = "1.9.2" +version = "1.9.3" description = "A Python package with a built-in web application" -requires-python = ">=3.10,<3.14" +requires-python = ">=3.10,<3.15" license = "MIT" keywords = ["nlp", "langchain", "openai", "gpt", "gui"] readme = "README.md" @@ -17,7 +17,7 @@ maintainers = [ ] # Define your main dependencies here dependencies = [ - "langflow-base[complete]>=0.9.2", + "langflow-base[complete]>=0.9.3", ] @@ -27,7 +27,7 @@ dev = [ "ipykernel>=6.29.0", "ruff~=0.13.1", "httpx>=0.28.1", - "pytest>=8.2.0", + "pytest>=9.0.3", "requests>=2.33.0", "pytest-cov>=5.0.0", "pytest-mock>=3.14.0", @@ -48,7 +48,7 @@ dev = [ "types-aiofiles>=24.1.0.20240626", "codeflash>=0.8.4", "hypothesis>=6.123.17", - "locust~=2.40.5", + "locust~=2.43.4", "pytest-rerunfailures>=15.0", "scrapegraph-py>=1.10.2", 'elevenlabs==1.58.1; python_version == "3.12"', @@ -58,7 +58,8 @@ dev = [ "pyyaml>=6.0.2", "pyleak>=0.1.14", "mcp-server-fetch>=2025.1.17", - "onnxruntime>=1.20,<1.24" # >=1.24 does not support Python 3.10; <1.24 allows 1.23.x for agent-lifecycle-toolkit + "onnxruntime>=1.20,<1.24; python_version<'3.14'", # >=1.24 does not support Python 3.10; <1.24 allows 1.23.x for agent-lifecycle-toolkit + "onnxruntime>=1.26; python_version>='3.14'", ] [[tool.uv.index]] @@ -147,6 +148,11 @@ override-dependencies = [ "dynaconf>=3.2.13", "pillow>=12.1.1", # Force Pillow 12.1.1+ to prevent CVE-vulnerable versions "playwright>=1.59.0", # Latest available on PyPI; ensures updated Chromium with CVE fixes + # Transitive dependency CVE fixes + "lxml>=6.1.0,<7.0.0", # CVE-2026-41066 + "mako>=1.3.12,<2.0.0", # CVE-2026-44307 + "urllib3>=2.7.0,<3.0.0", # CVE-2026-44431, CVE-2026-44432 + "python-liquid>=2.2.0,<3.0.0", # CVE-2026-45017 ] [project.scripts] diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json b/src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json index 347f54eb47..2503356a6c 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json @@ -1327,7 +1327,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" } ], "total_dependencies": 4 diff --git a/src/backend/base/langflow/initial_setup/starter_projects/News Aggregator.json b/src/backend/base/langflow/initial_setup/starter_projects/News Aggregator.json index 34bcff1da8..7ae3584863 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/News Aggregator.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/News Aggregator.json @@ -1781,7 +1781,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" } ], "total_dependencies": 7 diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json b/src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json index a591bc20f3..07b7363350 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json @@ -768,7 +768,7 @@ "key": "APIRequest", "legacy": false, "metadata": { - "code_hash": "2af407885294", + "code_hash": "4f329dec9a39", "dependencies": { "dependencies": [ { @@ -886,7 +886,7 @@ "show": true, "title_case": false, "type": "code", - "value": "import json\nimport re\nimport tempfile\nfrom datetime import datetime, timezone\nfrom pathlib import Path\nfrom typing import Any\nfrom urllib.parse import parse_qsl, urlencode, urlparse, urlunparse\n\nimport aiofiles\nimport aiofiles.os as aiofiles_os\nimport httpx\nimport validators\n\nfrom lfx.base.curl.parse import parse_context\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import TabInput\nfrom lfx.io import (\n BoolInput,\n DataInput,\n DropdownInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n Output,\n TableInput,\n)\nfrom lfx.schema.data import Data\nfrom lfx.schema.dotdict import dotdict\nfrom lfx.utils.component_utils import set_current_fields, set_field_advanced, set_field_display\nfrom lfx.utils.ssrf_protection import SSRFProtectionError, validate_url_for_ssrf\n\n# Define fields for each mode\nMODE_FIELDS = {\n \"URL\": [\n \"url_input\",\n \"method\",\n ],\n \"cURL\": [\"curl_input\"],\n}\n\n# Fields that should always be visible\nDEFAULT_FIELDS = [\"mode\"]\n\n\nclass APIRequestComponent(Component):\n display_name = \"API Request\"\n description = \"Make HTTP requests using URL or cURL commands.\"\n documentation: str = \"https://docs.langflow.org/api-request\"\n icon = \"Globe\"\n name = \"APIRequest\"\n\n inputs = [\n MessageTextInput(\n name=\"url_input\",\n display_name=\"URL\",\n info=\"Enter the URL for the request.\",\n advanced=False,\n tool_mode=True,\n ),\n MultilineInput(\n name=\"curl_input\",\n display_name=\"cURL\",\n info=(\n \"Paste a curl command to populate the fields. \"\n \"This will fill in the dictionary fields for headers and body.\"\n ),\n real_time_refresh=True,\n tool_mode=True,\n advanced=True,\n show=False,\n ),\n DropdownInput(\n name=\"method\",\n display_name=\"Method\",\n options=[\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"],\n value=\"GET\",\n info=\"The HTTP method to use.\",\n real_time_refresh=True,\n ),\n TabInput(\n name=\"mode\",\n display_name=\"Mode\",\n options=[\"URL\", \"cURL\"],\n value=\"URL\",\n info=\"Enable cURL mode to populate fields from a cURL command.\",\n real_time_refresh=True,\n ),\n DataInput(\n name=\"query_params\",\n display_name=\"Query Parameters\",\n info=\"The query parameters to append to the URL.\",\n advanced=True,\n ),\n TableInput(\n name=\"body\",\n display_name=\"Body\",\n info=\"The body to send with the request as a dictionary (for POST, PATCH, PUT).\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Key\",\n \"type\": \"str\",\n \"description\": \"Parameter name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"description\": \"Parameter value\",\n },\n ],\n value=[],\n input_types=[\"Data\", \"JSON\"],\n advanced=True,\n real_time_refresh=True,\n ),\n TableInput(\n name=\"headers\",\n display_name=\"Headers\",\n info=\"The headers to send with the request\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Header\",\n \"type\": \"str\",\n \"description\": \"Header name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"type\": \"str\",\n \"description\": \"Header value\",\n },\n ],\n value=[{\"key\": \"User-Agent\", \"value\": \"Langflow/1.0\"}],\n advanced=True,\n input_types=[\"Data\", \"JSON\"],\n real_time_refresh=True,\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n value=30,\n info=\"The timeout to use for the request.\",\n advanced=True,\n ),\n BoolInput(\n name=\"follow_redirects\",\n display_name=\"Follow Redirects\",\n value=False,\n info=(\n \"Whether to follow HTTP redirects. \"\n \"WARNING: Enabling redirects may allow SSRF bypass attacks where a public URL \"\n \"redirects to internal resources. Only enable if you trust the target server. \"\n \"See OWASP SSRF Prevention Cheat Sheet for details.\"\n ),\n advanced=True,\n ),\n BoolInput(\n name=\"save_to_file\",\n display_name=\"Save to File\",\n value=False,\n info=\"Save the API response to a temporary file\",\n advanced=True,\n ),\n BoolInput(\n name=\"include_httpx_metadata\",\n display_name=\"Include HTTPx Metadata\",\n value=False,\n info=(\n \"Include properties such as headers, status_code, response_headers, \"\n \"and redirection_history in the output.\"\n ),\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"API Response\", name=\"data\", method=\"make_api_request\"),\n ]\n\n def _parse_json_value(self, value: Any) -> Any:\n \"\"\"Parse a value that might be a JSON string.\"\"\"\n if not isinstance(value, str):\n return value\n\n try:\n parsed = json.loads(value)\n except json.JSONDecodeError:\n return value\n else:\n return parsed\n\n def _process_body(self, body: Any) -> dict:\n \"\"\"Process the body input into a valid dictionary.\"\"\"\n if body is None:\n return {}\n if hasattr(body, \"data\"):\n body = body.data\n if isinstance(body, dict):\n return self._process_dict_body(body)\n if isinstance(body, str):\n return self._process_string_body(body)\n if isinstance(body, list):\n return self._process_list_body(body)\n return {}\n\n def _process_dict_body(self, body: dict) -> dict:\n \"\"\"Process dictionary body by parsing JSON values.\"\"\"\n return {k: self._parse_json_value(v) for k, v in body.items()}\n\n def _process_string_body(self, body: str) -> dict:\n \"\"\"Process string body by attempting JSON parse.\"\"\"\n try:\n return self._process_body(json.loads(body))\n except json.JSONDecodeError:\n return {\"data\": body}\n\n def _process_list_body(self, body: list) -> dict:\n \"\"\"Process list body by converting to key-value dictionary.\"\"\"\n processed_dict = {}\n try:\n for item in body:\n # Unwrap Data objects\n current_item = item\n if hasattr(item, \"data\"):\n unwrapped_data = item.data\n # If the unwrapped data is a dict but not key-value format, use it directly\n if isinstance(unwrapped_data, dict) and not self._is_valid_key_value_item(unwrapped_data):\n return unwrapped_data\n current_item = unwrapped_data\n if not self._is_valid_key_value_item(current_item):\n continue\n key = current_item[\"key\"]\n value = self._parse_json_value(current_item[\"value\"])\n processed_dict[key] = value\n except (KeyError, TypeError, ValueError) as e:\n self.log(f\"Failed to process body list: {e}\")\n return {}\n return processed_dict\n\n def _is_valid_key_value_item(self, item: Any) -> bool:\n \"\"\"Check if an item is a valid key-value dictionary.\"\"\"\n return isinstance(item, dict) and \"key\" in item and \"value\" in item\n\n def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:\n \"\"\"Parse a cURL command and update build configuration.\"\"\"\n try:\n parsed = parse_context(curl)\n\n # Update basic configuration\n url = parsed.url\n # Normalize URL before setting it\n url = self._normalize_url(url)\n\n build_config[\"url_input\"][\"value\"] = url\n build_config[\"method\"][\"value\"] = parsed.method.upper()\n\n # Process headers\n headers_list = [{\"key\": k, \"value\": v} for k, v in parsed.headers.items()]\n build_config[\"headers\"][\"value\"] = headers_list\n\n # Process body data\n if not parsed.data:\n build_config[\"body\"][\"value\"] = []\n elif parsed.data:\n try:\n json_data = json.loads(parsed.data)\n if isinstance(json_data, dict):\n body_list = [\n {\"key\": k, \"value\": json.dumps(v) if isinstance(v, dict | list) else str(v)}\n for k, v in json_data.items()\n ]\n build_config[\"body\"][\"value\"] = body_list\n else:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": json.dumps(json_data)}]\n except json.JSONDecodeError:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": parsed.data}]\n\n except Exception as exc:\n msg = f\"Error parsing curl: {exc}\"\n self.log(msg)\n raise ValueError(msg) from exc\n\n return build_config\n\n def _normalize_url(self, url: str) -> str:\n \"\"\"Normalize URL by adding https:// if no protocol is specified.\"\"\"\n if not url or not isinstance(url, str):\n msg = \"URL cannot be empty\"\n raise ValueError(msg)\n\n url = url.strip()\n if url.startswith((\"http://\", \"https://\")):\n return url\n return f\"https://{url}\"\n\n async def make_request(\n self,\n client: httpx.AsyncClient,\n method: str,\n url: str,\n headers: dict | None = None,\n body: Any = None,\n timeout: int = 5,\n *,\n follow_redirects: bool = True,\n save_to_file: bool = False,\n include_httpx_metadata: bool = False,\n ) -> Data:\n method = method.upper()\n if method not in {\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"}:\n msg = f\"Unsupported method: {method}\"\n raise ValueError(msg)\n\n processed_body = self._process_body(body)\n redirection_history = []\n\n try:\n # Prepare request parameters\n request_params = {\n \"method\": method,\n \"url\": url,\n \"headers\": headers,\n \"timeout\": timeout,\n \"follow_redirects\": follow_redirects,\n }\n # Only include body for methods that support it (GET must not have a body per HTTP spec)\n if method in {\"POST\", \"PATCH\", \"PUT\", \"DELETE\"} and processed_body is not None:\n request_params[\"json\"] = processed_body\n response = await client.request(**request_params)\n\n redirection_history = [\n {\n \"url\": redirect.headers.get(\"Location\", str(redirect.url)),\n \"status_code\": redirect.status_code,\n }\n for redirect in response.history\n ]\n\n is_binary, file_path = await self._response_info(response, with_file_path=save_to_file)\n response_headers = self._headers_to_dict(response.headers)\n\n # Base metadata\n metadata = {\n \"source\": url,\n \"status_code\": response.status_code,\n \"response_headers\": response_headers,\n }\n\n if redirection_history:\n metadata[\"redirection_history\"] = redirection_history\n\n if save_to_file:\n mode = \"wb\" if is_binary else \"w\"\n encoding = response.encoding if mode == \"w\" else None\n if file_path:\n await aiofiles_os.makedirs(file_path.parent, exist_ok=True)\n if is_binary:\n async with aiofiles.open(file_path, \"wb\") as f:\n await f.write(response.content)\n await f.flush()\n else:\n async with aiofiles.open(file_path, \"w\", encoding=encoding) as f:\n await f.write(response.text)\n await f.flush()\n metadata[\"file_path\"] = str(file_path)\n\n if include_httpx_metadata:\n metadata.update({\"headers\": headers})\n return Data(data=metadata)\n\n # Handle response content\n if is_binary:\n result = response.content\n else:\n try:\n result = response.json()\n except json.JSONDecodeError:\n self.log(\"Failed to decode JSON response\")\n result = response.text.encode(\"utf-8\")\n\n metadata[\"result\"] = result\n\n if include_httpx_metadata:\n metadata.update({\"headers\": headers})\n\n return Data(data=metadata)\n except (httpx.HTTPError, httpx.RequestError, httpx.TimeoutException) as exc:\n self.log(f\"Error making request to {url}\")\n return Data(\n data={\n \"source\": url,\n \"headers\": headers,\n \"status_code\": 500,\n \"error\": str(exc),\n **({\"redirection_history\": redirection_history} if redirection_history else {}),\n },\n )\n\n def add_query_params(self, url: str, params: dict) -> str:\n \"\"\"Add query parameters to URL efficiently.\"\"\"\n if not params:\n return url\n url_parts = list(urlparse(url))\n query = dict(parse_qsl(url_parts[4]))\n query.update(params)\n url_parts[4] = urlencode(query)\n return urlunparse(url_parts)\n\n def _headers_to_dict(self, headers: httpx.Headers) -> dict[str, str]:\n \"\"\"Convert HTTP headers to a dictionary with lowercased keys.\"\"\"\n return {k.lower(): v for k, v in headers.items()}\n\n def _process_headers(self, headers: Any) -> dict:\n \"\"\"Process the headers input into a valid dictionary.\"\"\"\n if headers is None:\n return {}\n if isinstance(headers, dict):\n return headers\n if isinstance(headers, list):\n return {item[\"key\"]: item[\"value\"] for item in headers if self._is_valid_key_value_item(item)}\n return {}\n\n async def make_api_request(self) -> Data:\n \"\"\"Make HTTP request with optimized parameter handling.\"\"\"\n method = self.method\n url = self.url_input.strip() if isinstance(self.url_input, str) else \"\"\n headers = self.headers or {}\n body = self.body or {}\n timeout = self.timeout\n follow_redirects = self.follow_redirects\n save_to_file = self.save_to_file\n include_httpx_metadata = self.include_httpx_metadata\n\n # Security warning when redirects are enabled\n if follow_redirects:\n self.log(\n \"Security Warning: HTTP redirects are enabled. This may allow SSRF bypass attacks \"\n \"where a public URL redirects to internal resources (e.g., cloud metadata endpoints). \"\n \"Only enable this if you trust the target server.\"\n )\n\n # if self.mode == \"cURL\" and self.curl_input:\n # self._build_config = self.parse_curl(self.curl_input, dotdict())\n # # After parsing curl, get the normalized URL\n # url = self._build_config[\"url_input\"][\"value\"]\n\n # Normalize URL before validation\n url = self._normalize_url(url)\n\n # Validate URL\n if not validators.url(url):\n msg = f\"Invalid URL provided: {url}\"\n raise ValueError(msg)\n\n # SSRF Protection: Validate URL to prevent access to internal resources\n # TODO: In next major version (2.0), remove warn_only=True to enforce blocking\n try:\n validate_url_for_ssrf(url, warn_only=True)\n except SSRFProtectionError as e:\n # This will only raise if SSRF protection is enabled and warn_only=False\n msg = f\"SSRF Protection: {e}\"\n raise ValueError(msg) from e\n\n # Process query parameters\n if isinstance(self.query_params, str):\n query_params = dict(parse_qsl(self.query_params))\n else:\n query_params = self.query_params.data if self.query_params else {}\n\n # Process headers and body\n headers = self._process_headers(headers)\n body = self._process_body(body)\n url = self.add_query_params(url, query_params)\n\n async with httpx.AsyncClient() as client:\n result = await self.make_request(\n client,\n method,\n url,\n headers,\n body,\n timeout,\n follow_redirects=follow_redirects,\n save_to_file=save_to_file,\n include_httpx_metadata=include_httpx_metadata,\n )\n self.status = result\n return result\n\n def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None) -> dotdict:\n \"\"\"Update the build config based on the selected mode.\"\"\"\n if field_name != \"mode\":\n if field_name == \"curl_input\" and self.mode == \"cURL\" and self.curl_input:\n return self.parse_curl(self.curl_input, build_config)\n return build_config\n\n if field_value == \"cURL\":\n set_field_display(build_config, \"curl_input\", value=True)\n if build_config[\"curl_input\"][\"value\"]:\n try:\n build_config = self.parse_curl(build_config[\"curl_input\"][\"value\"], build_config)\n except ValueError as e:\n self.log(f\"Failed to parse cURL input: {e}\")\n else:\n set_field_display(build_config, \"curl_input\", value=False)\n\n return set_current_fields(\n build_config=build_config,\n action_fields=MODE_FIELDS,\n selected_action=field_value,\n default_fields=DEFAULT_FIELDS,\n func=set_field_advanced,\n default_value=True,\n )\n\n async def _response_info(\n self, response: httpx.Response, *, with_file_path: bool = False\n ) -> tuple[bool, Path | None]:\n \"\"\"Determine the file path and whether the response content is binary.\n\n Args:\n response (Response): The HTTP response object.\n with_file_path (bool): Whether to save the response content to a file.\n\n Returns:\n Tuple[bool, Path | None]:\n A tuple containing a boolean indicating if the content is binary and the full file path (if applicable).\n \"\"\"\n content_type = response.headers.get(\"Content-Type\", \"\")\n is_binary = \"application/octet-stream\" in content_type or \"application/binary\" in content_type\n\n if not with_file_path:\n return is_binary, None\n\n component_temp_dir = Path(tempfile.gettempdir()) / self.__class__.__name__\n\n # Create directory asynchronously\n await aiofiles_os.makedirs(component_temp_dir, exist_ok=True)\n\n filename = None\n if \"Content-Disposition\" in response.headers:\n content_disposition = response.headers[\"Content-Disposition\"]\n filename_match = re.search(r'filename=\"(.+?)\"', content_disposition)\n if filename_match:\n extracted_filename = filename_match.group(1)\n filename = extracted_filename\n\n # Step 3: Infer file extension or use part of the request URL if no filename\n if not filename:\n # Extract the last segment of the URL path\n url_path = urlparse(str(response.request.url) if response.request else \"\").path\n base_name = Path(url_path).name # Get the last segment of the path\n if not base_name: # If the path ends with a slash or is empty\n base_name = \"response\"\n\n # Infer file extension\n content_type_to_extension = {\n \"text/plain\": \".txt\",\n \"application/json\": \".json\",\n \"image/jpeg\": \".jpg\",\n \"image/png\": \".png\",\n \"application/octet-stream\": \".bin\",\n }\n extension = content_type_to_extension.get(content_type, \".bin\" if is_binary else \".txt\")\n filename = f\"{base_name}{extension}\"\n\n # Step 4: Define the full file path\n file_path = component_temp_dir / filename\n\n # Step 5: Check if file exists asynchronously and handle accordingly\n try:\n # Try to create the file exclusively (x mode) to check existence\n async with aiofiles.open(file_path, \"x\") as _:\n pass # File created successfully, we can use this path\n except FileExistsError:\n # If file exists, append a timestamp to the filename\n timestamp = datetime.now(timezone.utc).strftime(\"%Y%m%d%H%M%S%f\")\n file_path = component_temp_dir / f\"{timestamp}-{filename}\"\n\n return is_binary, file_path\n" + "value": "import json\nimport re\nimport tempfile\nfrom datetime import datetime, timezone\nfrom pathlib import Path\nfrom typing import Any\nfrom urllib.parse import parse_qsl, urlencode, urlparse, urlunparse\n\nimport aiofiles\nimport aiofiles.os as aiofiles_os\nimport httpx\nimport validators\n\nfrom lfx.base.curl.parse import parse_context\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import TabInput\nfrom lfx.io import (\n BoolInput,\n DataInput,\n DropdownInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n Output,\n TableInput,\n)\nfrom lfx.schema.data import Data\nfrom lfx.schema.dotdict import dotdict\nfrom lfx.utils.component_utils import set_current_fields, set_field_advanced, set_field_display\n\n# SSRF Protection imports - for preventing Server-Side Request Forgery attacks\nfrom lfx.utils.ssrf_protection import SSRFProtectionError, validate_and_resolve_url\nfrom lfx.utils.ssrf_transport import create_ssrf_protected_client\n\n# Define fields for each mode\nMODE_FIELDS = {\n \"URL\": [\n \"url_input\",\n \"method\",\n ],\n \"cURL\": [\"curl_input\"],\n}\n\n# Fields that should always be visible\nDEFAULT_FIELDS = [\"mode\"]\n\n\nclass APIRequestComponent(Component):\n display_name = \"API Request\"\n description = \"Make HTTP requests using URL or cURL commands.\"\n documentation: str = \"https://docs.langflow.org/api-request\"\n icon = \"Globe\"\n name = \"APIRequest\"\n\n inputs = [\n MessageTextInput(\n name=\"url_input\",\n display_name=\"URL\",\n info=\"Enter the URL for the request.\",\n advanced=False,\n tool_mode=True,\n ),\n MultilineInput(\n name=\"curl_input\",\n display_name=\"cURL\",\n info=(\n \"Paste a curl command to populate the fields. \"\n \"This will fill in the dictionary fields for headers and body.\"\n ),\n real_time_refresh=True,\n tool_mode=True,\n advanced=True,\n show=False,\n ),\n DropdownInput(\n name=\"method\",\n display_name=\"Method\",\n options=[\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"],\n value=\"GET\",\n info=\"The HTTP method to use.\",\n real_time_refresh=True,\n ),\n TabInput(\n name=\"mode\",\n display_name=\"Mode\",\n options=[\"URL\", \"cURL\"],\n value=\"URL\",\n info=\"Enable cURL mode to populate fields from a cURL command.\",\n real_time_refresh=True,\n ),\n DataInput(\n name=\"query_params\",\n display_name=\"Query Parameters\",\n info=\"The query parameters to append to the URL.\",\n advanced=True,\n ),\n TableInput(\n name=\"body\",\n display_name=\"Body\",\n info=\"The body to send with the request as a dictionary (for POST, PATCH, PUT).\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Key\",\n \"type\": \"str\",\n \"description\": \"Parameter name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"description\": \"Parameter value\",\n },\n ],\n value=[],\n input_types=[\"Data\", \"JSON\"],\n advanced=True,\n real_time_refresh=True,\n ),\n TableInput(\n name=\"headers\",\n display_name=\"Headers\",\n info=\"The headers to send with the request\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Header\",\n \"type\": \"str\",\n \"description\": \"Header name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"type\": \"str\",\n \"description\": \"Header value\",\n },\n ],\n value=[{\"key\": \"User-Agent\", \"value\": \"Langflow/1.0\"}],\n advanced=True,\n input_types=[\"Data\", \"JSON\"],\n real_time_refresh=True,\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n value=30,\n info=\"The timeout to use for the request.\",\n advanced=True,\n ),\n BoolInput(\n name=\"follow_redirects\",\n display_name=\"Follow Redirects\",\n value=False,\n info=(\n \"Whether to follow HTTP redirects. \"\n \"WARNING: Enabling redirects may allow SSRF bypass attacks where a public URL \"\n \"redirects to internal resources. Only enable if you trust the target server. \"\n \"See OWASP SSRF Prevention Cheat Sheet for details.\"\n ),\n advanced=True,\n ),\n BoolInput(\n name=\"save_to_file\",\n display_name=\"Save to File\",\n value=False,\n info=\"Save the API response to a temporary file\",\n advanced=True,\n ),\n BoolInput(\n name=\"include_httpx_metadata\",\n display_name=\"Include HTTPx Metadata\",\n value=False,\n info=(\n \"Include properties such as headers, status_code, response_headers, \"\n \"and redirection_history in the output.\"\n ),\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"API Response\", name=\"data\", method=\"make_api_request\"),\n ]\n\n def _parse_json_value(self, value: Any) -> Any:\n \"\"\"Parse a value that might be a JSON string.\"\"\"\n if not isinstance(value, str):\n return value\n\n try:\n parsed = json.loads(value)\n except json.JSONDecodeError:\n return value\n else:\n return parsed\n\n def _process_body(self, body: Any) -> dict:\n \"\"\"Process the body input into a valid dictionary.\"\"\"\n if body is None:\n return {}\n if hasattr(body, \"data\"):\n body = body.data\n if isinstance(body, dict):\n return self._process_dict_body(body)\n if isinstance(body, str):\n return self._process_string_body(body)\n if isinstance(body, list):\n return self._process_list_body(body)\n return {}\n\n def _process_dict_body(self, body: dict) -> dict:\n \"\"\"Process dictionary body by parsing JSON values.\"\"\"\n return {k: self._parse_json_value(v) for k, v in body.items()}\n\n def _process_string_body(self, body: str) -> dict:\n \"\"\"Process string body by attempting JSON parse.\"\"\"\n try:\n return self._process_body(json.loads(body))\n except json.JSONDecodeError:\n return {\"data\": body}\n\n def _process_list_body(self, body: list) -> dict:\n \"\"\"Process list body by converting to key-value dictionary.\"\"\"\n processed_dict = {}\n try:\n for item in body:\n # Unwrap Data objects\n current_item = item\n if hasattr(item, \"data\"):\n unwrapped_data = item.data\n # If the unwrapped data is a dict but not key-value format, use it directly\n if isinstance(unwrapped_data, dict) and not self._is_valid_key_value_item(unwrapped_data):\n return unwrapped_data\n current_item = unwrapped_data\n if not self._is_valid_key_value_item(current_item):\n continue\n key = current_item[\"key\"]\n value = self._parse_json_value(current_item[\"value\"])\n processed_dict[key] = value\n except (KeyError, TypeError, ValueError) as e:\n self.log(f\"Failed to process body list: {e}\")\n return {}\n return processed_dict\n\n def _is_valid_key_value_item(self, item: Any) -> bool:\n \"\"\"Check if an item is a valid key-value dictionary.\"\"\"\n return isinstance(item, dict) and \"key\" in item and \"value\" in item\n\n def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:\n \"\"\"Parse a cURL command and update build configuration.\"\"\"\n try:\n parsed = parse_context(curl)\n\n # Update basic configuration\n url = parsed.url\n # Normalize URL before setting it\n url = self._normalize_url(url)\n\n build_config[\"url_input\"][\"value\"] = url\n build_config[\"method\"][\"value\"] = parsed.method.upper()\n\n # Process headers\n headers_list = [{\"key\": k, \"value\": v} for k, v in parsed.headers.items()]\n build_config[\"headers\"][\"value\"] = headers_list\n\n # Process body data\n if not parsed.data:\n build_config[\"body\"][\"value\"] = []\n elif parsed.data:\n try:\n json_data = json.loads(parsed.data)\n if isinstance(json_data, dict):\n body_list = [\n {\"key\": k, \"value\": json.dumps(v) if isinstance(v, dict | list) else str(v)}\n for k, v in json_data.items()\n ]\n build_config[\"body\"][\"value\"] = body_list\n else:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": json.dumps(json_data)}]\n except json.JSONDecodeError:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": parsed.data}]\n\n except Exception as exc:\n msg = f\"Error parsing curl: {exc}\"\n self.log(msg)\n raise ValueError(msg) from exc\n\n return build_config\n\n def _normalize_url(self, url: str) -> str:\n \"\"\"Normalize URL by adding https:// if no protocol is specified.\"\"\"\n if not url or not isinstance(url, str):\n msg = \"URL cannot be empty\"\n raise ValueError(msg)\n\n url = url.strip()\n if url.startswith((\"http://\", \"https://\")):\n return url\n return f\"https://{url}\"\n\n async def make_request(\n self,\n client: httpx.AsyncClient,\n method: str,\n url: str,\n headers: dict | None = None,\n body: Any = None,\n timeout: int = 5,\n *,\n follow_redirects: bool = True,\n save_to_file: bool = False,\n include_httpx_metadata: bool = False,\n ) -> Data:\n method = method.upper()\n if method not in {\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"}:\n msg = f\"Unsupported method: {method}\"\n raise ValueError(msg)\n\n processed_body = self._process_body(body)\n redirection_history = []\n\n try:\n # Prepare request parameters\n request_params = {\n \"method\": method,\n \"url\": url,\n \"headers\": headers,\n \"timeout\": timeout,\n \"follow_redirects\": follow_redirects,\n }\n # Only include body for methods that support it (GET must not have a body per HTTP spec)\n if method in {\"POST\", \"PATCH\", \"PUT\", \"DELETE\"} and processed_body is not None:\n request_params[\"json\"] = processed_body\n response = await client.request(**request_params)\n\n redirection_history = [\n {\n \"url\": redirect.headers.get(\"Location\", str(redirect.url)),\n \"status_code\": redirect.status_code,\n }\n for redirect in response.history\n ]\n\n is_binary, file_path = await self._response_info(response, with_file_path=save_to_file)\n response_headers = self._headers_to_dict(response.headers)\n\n # Base metadata\n metadata = {\n \"source\": url,\n \"status_code\": response.status_code,\n \"response_headers\": response_headers,\n }\n\n if redirection_history:\n metadata[\"redirection_history\"] = redirection_history\n\n if save_to_file:\n mode = \"wb\" if is_binary else \"w\"\n encoding = response.encoding if mode == \"w\" else None\n if file_path:\n await aiofiles_os.makedirs(file_path.parent, exist_ok=True)\n if is_binary:\n async with aiofiles.open(file_path, \"wb\") as f:\n await f.write(response.content)\n await f.flush()\n else:\n async with aiofiles.open(file_path, \"w\", encoding=encoding) as f:\n await f.write(response.text)\n await f.flush()\n metadata[\"file_path\"] = str(file_path)\n\n if include_httpx_metadata:\n metadata.update({\"headers\": headers})\n return Data(data=metadata)\n\n # Handle response content\n if is_binary:\n result = response.content\n else:\n try:\n result = response.json()\n except json.JSONDecodeError:\n self.log(\"Failed to decode JSON response\")\n result = response.text.encode(\"utf-8\")\n\n metadata[\"result\"] = result\n\n if include_httpx_metadata:\n metadata.update({\"headers\": headers})\n\n return Data(data=metadata)\n except (httpx.HTTPError, httpx.RequestError, httpx.TimeoutException) as exc:\n self.log(f\"Error making request to {url}\")\n return Data(\n data={\n \"source\": url,\n \"headers\": headers,\n \"status_code\": 500,\n \"error\": str(exc),\n **({\"redirection_history\": redirection_history} if redirection_history else {}),\n },\n )\n\n def add_query_params(self, url: str, params: dict) -> str:\n \"\"\"Add query parameters to URL efficiently.\"\"\"\n if not params:\n return url\n url_parts = list(urlparse(url))\n query = dict(parse_qsl(url_parts[4]))\n query.update(params)\n url_parts[4] = urlencode(query)\n return urlunparse(url_parts)\n\n def _headers_to_dict(self, headers: httpx.Headers) -> dict[str, str]:\n \"\"\"Convert HTTP headers to a dictionary with lowercased keys.\"\"\"\n return {k.lower(): v for k, v in headers.items()}\n\n def _process_headers(self, headers: Any) -> dict:\n \"\"\"Process the headers input into a valid dictionary.\"\"\"\n if headers is None:\n return {}\n if isinstance(headers, dict):\n return headers\n if isinstance(headers, list):\n return {item[\"key\"]: item[\"value\"] for item in headers if self._is_valid_key_value_item(item)}\n return {}\n\n async def make_api_request(self) -> Data:\n \"\"\"Make HTTP request with SSRF protection and DNS pinning.\n\n This method implements comprehensive SSRF (Server-Side Request Forgery) protection\n using DNS pinning to prevent DNS rebinding attacks. The protection works by:\n 1. Validating the URL and resolving DNS during security check\n 2. Pinning the validated IP address\n 3. Forcing the HTTP client to use the pinned IP for the actual request\n 4. Ignoring any subsequent DNS changes (prevents rebinding attacks)\n\n Returns:\n Data: Response data from the HTTP request\n\n Raises:\n ValueError: If URL is invalid or blocked by SSRF protection\n \"\"\"\n # Extract request parameters\n method = self.method\n url = self.url_input.strip() if isinstance(self.url_input, str) else \"\"\n headers = self.headers or {}\n body = self.body or {}\n timeout = self.timeout\n follow_redirects = self.follow_redirects\n save_to_file = self.save_to_file\n include_httpx_metadata = self.include_httpx_metadata\n\n # Security warning: HTTP redirects can bypass SSRF protection\n # A public URL could redirect to an internal resource\n if follow_redirects:\n self.log(\n \"Security Warning: HTTP redirects are enabled. This may allow SSRF bypass attacks \"\n \"where a public URL redirects to internal resources (e.g., cloud metadata endpoints). \"\n \"Only enable this if you trust the target server.\"\n )\n\n # Normalize URL (add https:// if no protocol specified)\n url = self._normalize_url(url)\n\n # Basic URL format validation\n if not validators.url(url):\n msg = f\"Invalid URL provided: {url}\"\n raise ValueError(msg)\n\n # ============================================================================\n # SSRF Protection with DNS Pinning\n # ============================================================================\n # This prevents DNS rebinding attacks by:\n # 1. Resolving DNS and validating IPs during security check\n # 2. Pinning the validated IP address\n # 3. Using a custom HTTP transport that forces use of the pinned IP\n # 4. Ignoring any new DNS resolutions (prevents rebinding)\n #\n # Without DNS pinning, an attacker could:\n # - First DNS lookup: returns public IP (passes validation)\n # - Second DNS lookup: returns internal IP (bypasses protection)\n # - Attack succeeds: accesses internal services\n #\n # With DNS pinning:\n # - First DNS lookup: returns public IP (passes validation)\n # - IP is pinned: \"example.com = 93.184.216.34\"\n # - HTTP request: uses pinned IP directly (no new DNS lookup)\n # - Attack fails: even if DNS changes, we use the validated IP\n # ============================================================================\n\n try:\n # Validate URL and get validated IPs for DNS pinning\n _validated_url, validated_ips = validate_and_resolve_url(url)\n\n # Log DNS pinning information for security auditing\n if validated_ips:\n self.log(f\"SSRF Protection: Using DNS pinning with {len(validated_ips)} validated IP(s)\")\n\n except SSRFProtectionError as e:\n # SSRF protection blocked the request (private IP, internal network, etc.)\n msg = f\"SSRF Protection: {e}\"\n raise ValueError(msg) from e\n\n # Process query parameters (from string or Data object)\n if isinstance(self.query_params, str):\n query_params = dict(parse_qsl(self.query_params))\n else:\n query_params = self.query_params.data if self.query_params else {}\n\n # Process headers and body into proper format\n headers = self._process_headers(headers)\n body = self._process_body(body)\n url = self.add_query_params(url, query_params)\n\n # ============================================================================\n # Create HTTP Client with DNS Pinning (if SSRF protection enabled)\n # ============================================================================\n from lfx.utils.ssrf_protection import is_ssrf_protection_enabled\n\n if is_ssrf_protection_enabled() and validated_ips:\n # SSRF protection is enabled and DNS pinning is needed\n # Extract hostname from the final URL (after query params added)\n hostname = urlparse(url).hostname\n\n if hostname:\n # Create client with DNS pinning to prevent rebinding attacks\n # The custom transport will try validated IPs in order (supports dual-stack/load balancing)\n # while preserving the Host header for virtual hosting/SNI\n async with create_ssrf_protected_client(\n hostname=hostname,\n validated_ips=validated_ips, # Pass all validated IPs\n ) as client:\n result = await self.make_request(\n client,\n method,\n url,\n headers,\n body,\n timeout,\n follow_redirects=follow_redirects,\n save_to_file=save_to_file,\n include_httpx_metadata=include_httpx_metadata,\n )\n else:\n # Hostname extraction failed - fallback to normal client\n # This should rarely happen as URL was already validated\n async with httpx.AsyncClient() as client:\n result = await self.make_request(\n client,\n method,\n url,\n headers,\n body,\n timeout,\n follow_redirects=follow_redirects,\n save_to_file=save_to_file,\n include_httpx_metadata=include_httpx_metadata,\n )\n else:\n # No DNS pinning needed - use normal client\n # This happens when SSRF protection is disabled or host is allowlisted\n # - SSRF protection is disabled\n # - Host is in the allowlist (e.g., localhost for Ollama)\n # - Direct IP address was used (no DNS to pin)\n async with httpx.AsyncClient() as client:\n result = await self.make_request(\n client,\n method,\n url,\n headers,\n body,\n timeout,\n follow_redirects=follow_redirects,\n save_to_file=save_to_file,\n include_httpx_metadata=include_httpx_metadata,\n )\n\n self.status = result\n return result\n\n def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None) -> dotdict:\n \"\"\"Update the build config based on the selected mode.\"\"\"\n if field_name != \"mode\":\n if field_name == \"curl_input\" and self.mode == \"cURL\" and self.curl_input:\n return self.parse_curl(self.curl_input, build_config)\n return build_config\n\n if field_value == \"cURL\":\n set_field_display(build_config, \"curl_input\", value=True)\n if build_config[\"curl_input\"][\"value\"]:\n try:\n build_config = self.parse_curl(build_config[\"curl_input\"][\"value\"], build_config)\n except ValueError as e:\n self.log(f\"Failed to parse cURL input: {e}\")\n else:\n set_field_display(build_config, \"curl_input\", value=False)\n\n return set_current_fields(\n build_config=build_config,\n action_fields=MODE_FIELDS,\n selected_action=field_value,\n default_fields=DEFAULT_FIELDS,\n func=set_field_advanced,\n default_value=True,\n )\n\n async def _response_info(\n self, response: httpx.Response, *, with_file_path: bool = False\n ) -> tuple[bool, Path | None]:\n \"\"\"Determine the file path and whether the response content is binary.\n\n Args:\n response (Response): The HTTP response object.\n with_file_path (bool): Whether to save the response content to a file.\n\n Returns:\n Tuple[bool, Path | None]:\n A tuple containing a boolean indicating if the content is binary and the full file path (if applicable).\n \"\"\"\n content_type = response.headers.get(\"Content-Type\", \"\")\n is_binary = \"application/octet-stream\" in content_type or \"application/binary\" in content_type\n\n if not with_file_path:\n return is_binary, None\n\n component_temp_dir = Path(tempfile.gettempdir()) / self.__class__.__name__\n\n # Create directory asynchronously\n await aiofiles_os.makedirs(component_temp_dir, exist_ok=True)\n\n filename = None\n if \"Content-Disposition\" in response.headers:\n content_disposition = response.headers[\"Content-Disposition\"]\n filename_match = re.search(r'filename=\"(.+?)\"', content_disposition)\n if filename_match:\n extracted_filename = filename_match.group(1)\n filename = extracted_filename\n\n # Step 3: Infer file extension or use part of the request URL if no filename\n if not filename:\n # Extract the last segment of the URL path\n url_path = urlparse(str(response.request.url) if response.request else \"\").path\n base_name = Path(url_path).name # Get the last segment of the path\n if not base_name: # If the path ends with a slash or is empty\n base_name = \"response\"\n\n # Infer file extension\n content_type_to_extension = {\n \"text/plain\": \".txt\",\n \"application/json\": \".json\",\n \"image/jpeg\": \".jpg\",\n \"image/png\": \".png\",\n \"application/octet-stream\": \".bin\",\n }\n extension = content_type_to_extension.get(content_type, \".bin\" if is_binary else \".txt\")\n filename = f\"{base_name}{extension}\"\n\n # Step 4: Define the full file path\n file_path = component_temp_dir / filename\n\n # Step 5: Check if file exists asynchronously and handle accordingly\n try:\n # Try to create the file exclusively (x mode) to check existence\n async with aiofiles.open(file_path, \"x\") as _:\n pass # File created successfully, we can use this path\n except FileExistsError:\n # If file exists, append a timestamp to the filename\n timestamp = datetime.now(timezone.utc).strftime(\"%Y%m%d%H%M%S%f\")\n file_path = component_temp_dir / f\"{timestamp}-{filename}\"\n\n return is_binary, file_path\n" }, "curl_input": { "_input_type": "MultilineInput", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Portfolio Website Code Generator.json b/src/backend/base/langflow/initial_setup/starter_projects/Portfolio Website Code Generator.json index f66cee1ec5..bbf8fe2f5c 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Portfolio Website Code Generator.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Portfolio Website Code Generator.json @@ -949,7 +949,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" } ], "total_dependencies": 4 diff --git a/src/backend/base/langflow/initial_setup/starter_projects/SaaS Pricing.json b/src/backend/base/langflow/initial_setup/starter_projects/SaaS Pricing.json index 153e7f4088..ae15e88168 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/SaaS Pricing.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/SaaS Pricing.json @@ -717,7 +717,7 @@ "legacy": false, "lf_version": "1.4.2", "metadata": { - "code_hash": "37caa1aba62c", + "code_hash": "d0b2936e74fa", "dependencies": { "dependencies": [ { @@ -770,7 +770,7 @@ "show": true, "title_case": false, "type": "code", - "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n if isinstance(node, ast.Num): # For backwards compatibility\n if isinstance(node.n, int | float):\n return float(node.n)\n error_msg = f\"Unsupported number type: {type(node.n).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" + "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" }, "expression": { "_input_type": "MessageTextInput", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json b/src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json index 72bbddcb34..1284b8654d 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json @@ -3203,7 +3203,7 @@ "key": "CalculatorComponent", "legacy": false, "metadata": { - "code_hash": "37caa1aba62c", + "code_hash": "d0b2936e74fa", "dependencies": { "dependencies": [ { @@ -3256,7 +3256,7 @@ "show": true, "title_case": false, "type": "code", - "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n if isinstance(node, ast.Num): # For backwards compatibility\n if isinstance(node.n, int | float):\n return float(node.n)\n error_msg = f\"Unsupported number type: {type(node.n).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" + "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" }, "expression": { "_input_type": "MessageTextInput", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json b/src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json index 268efe45e7..69ca825bc8 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json @@ -200,7 +200,7 @@ "legacy": false, "lf_version": "1.2.0", "metadata": { - "code_hash": "37caa1aba62c", + "code_hash": "d0b2936e74fa", "dependencies": { "dependencies": [ { @@ -254,7 +254,7 @@ "show": true, "title_case": false, "type": "code", - "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n if isinstance(node, ast.Num): # For backwards compatibility\n if isinstance(node.n, int | float):\n return float(node.n)\n error_msg = f\"Unsupported number type: {type(node.n).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" + "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" }, "expression": { "_input_type": "MessageTextInput", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Text Sentiment Analysis.json b/src/backend/base/langflow/initial_setup/starter_projects/Text Sentiment Analysis.json index e6abf4c19f..64b84fa493 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Text Sentiment Analysis.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Text Sentiment Analysis.json @@ -2641,7 +2641,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" } ], "total_dependencies": 4 diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json b/src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json index 22575d16e7..4fbc085a25 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json @@ -1260,7 +1260,7 @@ "legacy": false, "lf_version": "1.2.0", "metadata": { - "code_hash": "37caa1aba62c", + "code_hash": "d0b2936e74fa", "dependencies": { "dependencies": [ { @@ -1313,7 +1313,7 @@ "show": true, "title_case": false, "type": "code", - "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n if isinstance(node, ast.Num): # For backwards compatibility\n if isinstance(node.n, int | float):\n return float(node.n)\n error_msg = f\"Unsupported number type: {type(node.n).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" + "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" }, "expression": { "_input_type": "MessageTextInput", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json b/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json index 13ee4dee83..7967fed23e 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json @@ -1643,7 +1643,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" } ], "total_dependencies": 4 diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json b/src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json index c373dc7eb9..5441bdbe3e 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json @@ -274,7 +274,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" }, { "name": "lfx", diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index adb925773c..d67cfa5c1c 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -1,8 +1,8 @@ [project] name = "langflow-base" -version = "0.9.2" +version = "0.9.3" description = "A Python package with a built-in web application" -requires-python = ">=3.10,<3.14" +requires-python = ">=3.10,<3.15" license = "MIT" keywords = ["nlp", "langchain", "openai", "gpt", "gui"] readme = "README.md" @@ -17,15 +17,15 @@ maintainers = [ ] dependencies = [ - "lfx~=0.4.2", + "lfx~=0.4.3", "fastapi>=0.135.0,<1.0.0", "httpx[http2]>=0.27,<1.0.0", "aiofile>=3.9.0,<4.0.0", "uvicorn>=0.30.0,<1.0.0", - "gunicorn>=25.3.0,<26.0.0", + "gunicorn>=25.3.0,<27.0.0", "langchain~=1.2.0", "langchain-community~=0.4.1", - "langchain-core>=1.2.28,<2.0.0", + "langchain-core>=1.3.3,<2.0.0", "langchainhub~=0.1.15", "loguru>=0.7.1,<1.0.0", "structlog>=25.4.0,<26.0.0", @@ -90,13 +90,15 @@ dependencies = [ 'elevenlabs==1.58.1; python_version == "3.12"', 'elevenlabs>=1.52.0,<2.0.0; python_version != "3.12"', "scipy>=1.15.2,<2.0.0", - "ibm-watsonx-ai>=1.3.1,<2.0.0", - "langchain-ibm~=1.0.2", + "ibm-watsonx-ai>=1.3.1,<2.0.0; python_version < '3.14'", + "langchain-ibm~=1.0.2; python_version < '3.14'", "trustcall>=0.0.38,<1.0.0", "langchain-chroma~=0.2.6", "jaraco-context>=6.1.0", "wheel>=0.46.2,<1.0.0", - "onnxruntime>=1.20,<1.24", # >=1.24 does not support Python 3.10; allow 1.23.x for agent-lifecycle-toolkit compatibility + "onnxruntime>=1.20,<1.24; python_version<'3.14'", # >=1.24 does not support Python 3.10; allow 1.23.x for agent-lifecycle-toolkit compatibility + "onnxruntime>=1.26; python_version>='3.14'", + "protobuf>=6.33.6,<7.0.0", "dynaconf>=3.2.13,<4.0.0", "pyasn1>=0.6.3,<0.7.0", "langgraph-checkpoint>4.0.0,<5.0.0", @@ -110,7 +112,7 @@ dev = [ "ipykernel>=6.29.0", "ruff>=0.12.7", "httpx[http2]>=0.27", - "pytest>=8.2.0", + "pytest>=9.0.3", "requests>=2.33.0", "pytest-cov>=5.0.0", "pytest-mock>=3.14.0", @@ -193,7 +195,10 @@ redis = ["redis>=7.4.0,<8.0.0"] elasticsearch = ["elasticsearch~=8.19", "langchain-elasticsearch~=1.0.0"] # Individual vector store providers -faiss = ["faiss-cpu==1.9.0.post1"] +faiss = [ + "faiss-cpu==1.9.0.post1; python_version<'3.14'", + "faiss-cpu>=1.13.2; python_version>='3.14'", +] qdrant = ["qdrant-client==1.9.2"] weaviate = ["weaviate-client>=4.10.2,<5.0.0"] chroma = [ @@ -201,7 +206,7 @@ chroma = [ "langchain-chroma~=0.2.6" ] upstash = ["upstash-vector==0.6.0"] -pinecone = ["langchain-pinecone~=0.2.13"] +pinecone = ["langchain-pinecone~=0.2.13; python_version < '3.14'"] milvus = ["langchain-milvus~=0.3.2"] mongodb-vectors = ["langchain-mongodb==0.7.0"] astradb = ["langchain-astradb~=1.0.0"] @@ -229,8 +234,8 @@ sentence-transformers = ["sentence-transformers>=2.3.1"] ctransformers = ["ctransformers>=0.2.10"] # Individual monitoring providers -langfuse = ["langfuse~=3.8"] -langwatch = ["langwatch~=0.10.0"] +langfuse = ["langfuse~=3.8; python_version < '3.14'"] +langwatch = ["langwatch~=0.10.0; python_version < '3.14'"] langsmith = ["langsmith>=0.3.42,<1.0.0"] arize = ["arize-phoenix-otel>=0.6.1"] @@ -256,12 +261,12 @@ yfinance = ["yfinance==0.2.50"] wolframalpha = ["wolframalpha==5.1.3"] # Individual utilities -pyarrow = ["pyarrow>=19.0.1,!=22.0.0"] +pyarrow = ["pyarrow>=23.0.1,<24.0.0"] fastavro = [ 'fastavro==1.9.7; python_version < "3.13"', 'fastavro>=1.9.8,<2.0.0; python_version >= "3.13"', ] -gitpython = ["GitPython==3.1.47"] +gitpython = ["GitPython>=3.1.50"] nltk = ["nltk>=3.9.4"] lark = ["lark==1.2.2"] @@ -284,7 +289,7 @@ composio = [ "composio==0.9.2", "composio-langchain==0.9.2" ] -ragstack = ["ragstack-ai-knowledge-store==0.2.1"] +ragstack = ["ragstack-ai-knowledge-store==0.2.1; python_version < '3.13'"] opensearch = ["opensearch-py==2.8.0"] atlassian = ["atlassian-python-api==3.41.16"] mem0 = ["mem0ai>=0.1.34"] @@ -301,7 +306,7 @@ spider = ["spider-client>=0.0.27,<1.0.0"] # Updated to 0.10.1+ for PyTorch 2.6.0 compatibility (addresses torch.load RCE vulnerability) # Upper bound prevents breaking changes in future major versions # Excluded on macOS x86_64: PyTorch dropped Intel Mac wheel builds after v2.2.2 (see LE-172) -altk = ["agent-lifecycle-toolkit>=0.10.1,<1.0; sys_platform != 'darwin' or platform_machine != 'x86_64'"] +altk = ["agent-lifecycle-toolkit>=0.10.1,<1.0; (sys_platform != 'darwin' or platform_machine != 'x86_64') and python_version < '3.14'"] # Toolguard Integration toolguard = ["toolguard>=0.2.16,<1.0.0"] @@ -338,8 +343,8 @@ fastparquet = ["fastparquet>=2024.11.0,<2025.0.0"] # Vision / ML vlmrun = ["vlmrun[all]>=0.2.0"] cuga = [ - "cuga>=0.2.20,<0.3.0; sys_platform != 'darwin'", - "cuga>=0.2.20,<0.3.0; sys_platform == 'darwin' and platform_machine == 'arm64'", + "cuga>=0.2.20,<0.3.0; sys_platform != 'darwin' and python_version < '3.14'", + "cuga>=0.2.20,<0.3.0; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version < '3.14'", ] mlx = [ "mlx>=0.29.0; sys_platform == 'darwin' and platform_machine == 'arm64' and python_version >= '3.12'", @@ -361,8 +366,8 @@ gassist = ["gassist>=0.0.1; sys_platform == 'win32'"] # SDKs for IBM watsonx Orchestrate deployment adapter. ibm-watsonx-clients = [ "ibm-cloud-sdk-core~=3.24.4", - "ibm-watsonx-orchestrate-core~=2.8.0; python_version >= '3.11'", - "ibm-watsonx-orchestrate-clients~=2.8.0; python_version >= '3.11'", + "ibm-watsonx-orchestrate-core~=2.8.0; python_version >= '3.11' and python_version < '3.14'", + "ibm-watsonx-orchestrate-clients~=2.8.0; python_version >= '3.11' and python_version < '3.14'", ] complete = [ diff --git a/src/backend/tests/unit/base/models/test_model_utils.py b/src/backend/tests/unit/base/models/test_model_utils.py index b18e24d6be..a2ba396915 100644 --- a/src/backend/tests/unit/base/models/test_model_utils.py +++ b/src/backend/tests/unit/base/models/test_model_utils.py @@ -6,7 +6,15 @@ by Akash Joshi / Anderson Filho: ``get_model_name`` returns ``"Custom"`` for is set on a different attribute than the one ``next()`` happens to find first. """ -from langchain_ibm import ChatWatsonx +import pytest + +try: + from langchain_ibm import ChatWatsonx +except (ImportError, TypeError): + # langchain-ibm is gated to python_version<'3.14' because ibm-watsonx-ai + # has not yet adapted to Python 3.14's StrEnum initialization changes. + pytest.skip("langchain-ibm not available on Python 3.14+", allow_module_level=True) + from langchain_openai import AzureChatOpenAI, ChatOpenAI from lfx.base.models.model_utils import get_model_name diff --git a/src/backend/tests/unit/components/data_source/test_api_request_component.py b/src/backend/tests/unit/components/data_source/test_api_request_component.py index 64834643e5..37d21819c6 100644 --- a/src/backend/tests/unit/components/data_source/test_api_request_component.py +++ b/src/backend/tests/unit/components/data_source/test_api_request_component.py @@ -363,7 +363,15 @@ class TestAPIRequestComponent(ComponentTestBaseWithoutClient): class TestAPIRequestSSRFProtection: - """Test SSRF protection in API Request component.""" + """Rewritten SSRF Protection Tests for API Request Component. + + These tests properly test the actual SSRF protection implementation without mocking + the core security functions. They verify: + 1. Real SSRF blocking with actual private IPs + 2. DNS pinning actually prevents rebinding + 3. Allowlist functionality works correctly + 4. Custom transport is used when protection is enabled. + """ @pytest.fixture def component_class(self): @@ -376,10 +384,10 @@ class TestAPIRequestSSRFProtection: return { "url_input": "https://example.com/api/test", "method": "GET", - "headers": [{"key": "User-Agent", "value": "test-agent"}], + "headers": [], "body": [], "timeout": 30, - "follow_redirects": False, # Changed default for SSRF security + "follow_redirects": False, "save_to_file": False, "include_httpx_metadata": False, "mode": "URL", @@ -392,73 +400,93 @@ class TestAPIRequestSSRFProtection: """Return a component instance.""" return component_class(**default_kwargs) - async def test_ssrf_protection_disabled_by_default(self, component): - """Test that SSRF protection is disabled by default (warn-only mode).""" - # Even with protection disabled, this should not raise + async def test_ssrf_protection_disabled_allows_all_urls(self, component): + """Test that when SSRF protection is disabled, all URLs are allowed.""" component.url_input = "http://127.0.0.1:8080" - with respx.mock: + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "false"}), + respx.mock, + ): respx.get("http://127.0.0.1:8080").mock(return_value=Response(200, json={"status": "ok"})) - # Should not raise (protection is off by default) result = await component.make_api_request() assert isinstance(result, Data) + assert result.data["result"]["status"] == "ok" - async def test_ssrf_protection_enabled_blocks_localhost(self, component): - """Test that SSRF protection blocks localhost when enabled.""" + async def test_ssrf_protection_blocks_localhost_127_0_0_1(self, component): + """Test that SSRF protection blocks 127.0.0.1 (localhost).""" component.url_input = "http://127.0.0.1:8080/admin" - # Enable SSRF protection in enforcement mode with ( patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), - patch("lfx.components.data_source.api_request.validate_url_for_ssrf") as mock_validate, + pytest.raises(ValueError, match="SSRF Protection"), ): - from lfx.utils.ssrf_protection import SSRFProtectionError + await component.make_api_request() - # Make it raise in enforcement mode - mock_validate.side_effect = SSRFProtectionError("Access to 127.0.0.1 blocked") + async def test_ssrf_protection_blocks_localhost_0_0_0_0(self, component): + """Test that SSRF protection blocks 0.0.0.0.""" + component.url_input = "http://0.0.0.0:8080/admin" - with pytest.raises(ValueError, match="SSRF Protection"): - await component.make_api_request() + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + pytest.raises(ValueError, match="SSRF Protection"), + ): + await component.make_api_request() - async def test_ssrf_protection_enabled_blocks_private_networks(self, component): - """Test that SSRF protection blocks private network IPs when enabled.""" - private_ips = [ - "http://192.168.1.1/config", - "http://10.0.0.1/admin", - "http://172.16.0.1/internal", - ] + async def test_ssrf_protection_blocks_private_network_192_168(self, component): + """Test that SSRF protection blocks 192.168.x.x private network.""" + component.url_input = "http://192.168.1.1/config" - with patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}): - for url in private_ips: - component.url_input = url + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + pytest.raises(ValueError, match="SSRF Protection"), + ): + await component.make_api_request() - with patch("lfx.components.data_source.api_request.validate_url_for_ssrf") as mock_validate: - from lfx.utils.ssrf_protection import SSRFProtectionError + async def test_ssrf_protection_blocks_private_network_10_0(self, component): + """Test that SSRF protection blocks 10.x.x.x private network.""" + component.url_input = "http://10.0.0.1/admin" - mock_validate.side_effect = SSRFProtectionError(f"Access to {url} blocked") + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + pytest.raises(ValueError, match="SSRF Protection"), + ): + await component.make_api_request() - with pytest.raises(ValueError, match="SSRF Protection"): - await component.make_api_request() + async def test_ssrf_protection_blocks_private_network_172_16(self, component): + """Test that SSRF protection blocks 172.16.x.x private network.""" + component.url_input = "http://172.16.0.1/internal" - async def test_ssrf_protection_enabled_blocks_metadata_endpoint(self, component): - """Test that SSRF protection blocks cloud metadata endpoints when enabled.""" + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + pytest.raises(ValueError, match="SSRF Protection"), + ): + await component.make_api_request() + + async def test_ssrf_protection_blocks_cloud_metadata_endpoint(self, component): + """Test that SSRF protection blocks AWS/GCP metadata endpoint.""" component.url_input = "http://169.254.169.254/latest/meta-data/" with ( patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), - patch("lfx.components.data_source.api_request.validate_url_for_ssrf") as mock_validate, + pytest.raises(ValueError, match="SSRF Protection"), ): - from lfx.utils.ssrf_protection import SSRFProtectionError + await component.make_api_request() - mock_validate.side_effect = SSRFProtectionError("Access to 169.254.169.254 blocked") + async def test_ssrf_protection_blocks_link_local_169_254(self, component): + """Test that SSRF protection blocks link-local addresses.""" + component.url_input = "http://169.254.1.1/api" - with pytest.raises(ValueError, match="SSRF Protection"): - await component.make_api_request() + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + pytest.raises(ValueError, match="SSRF Protection"), + ): + await component.make_api_request() @respx.mock async def test_ssrf_protection_allows_public_urls(self, component): - """Test that SSRF protection allows public URLs.""" + """Test that SSRF protection allows legitimate public URLs.""" public_urls = [ "https://api.openai.com/v1/chat/completions", "https://api.github.com/repos/langflow-ai/langflow", @@ -470,56 +498,133 @@ class TestAPIRequestSSRFProtection: component.url_input = url respx.get(url).mock(return_value=Response(200, json={"status": "ok"})) - # Should not raise - these are public URLs result = await component.make_api_request() assert isinstance(result, Data) + assert result.data["result"]["status"] == "ok" - async def test_ssrf_protection_allowlist_bypass(self, component): - """Test that allowlisted hosts bypass SSRF protection.""" + async def test_ssrf_allowlist_hostname(self, component): + """Test that allowlisted hostnames bypass SSRF protection.""" component.url_input = "http://internal.company.local/api" with ( patch.dict( os.environ, - {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true", "LANGFLOW_SSRF_ALLOWED_HOSTS": "internal.company.local"}, + { + "LANGFLOW_SSRF_PROTECTION_ENABLED": "true", + "LANGFLOW_SSRF_ALLOWED_HOSTS": "internal.company.local", + }, ), respx.mock, ): respx.get("http://internal.company.local/api").mock(return_value=Response(200, json={"status": "ok"})) - # Should not raise - host is in allowlist result = await component.make_api_request() assert isinstance(result, Data) + assert result.data["result"]["status"] == "ok" - async def test_ssrf_protection_allowlist_cidr(self, component): + async def test_ssrf_allowlist_ip_address(self, component): + """Test that allowlisted IP addresses bypass SSRF protection.""" + component.url_input = "http://192.168.1.100/api" + + with ( + patch.dict( + os.environ, + { + "LANGFLOW_SSRF_PROTECTION_ENABLED": "true", + "LANGFLOW_SSRF_ALLOWED_HOSTS": "192.168.1.100", + }, + ), + respx.mock, + ): + respx.get("http://192.168.1.100/api").mock(return_value=Response(200, json={"status": "ok"})) + + result = await component.make_api_request() + assert isinstance(result, Data) + assert result.data["result"]["status"] == "ok" + + async def test_ssrf_allowlist_cidr_range(self, component): """Test that CIDR ranges in allowlist work correctly.""" component.url_input = "http://192.168.1.5/api" with ( patch.dict( os.environ, - {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true", "LANGFLOW_SSRF_ALLOWED_HOSTS": "192.168.1.0/24"}, + { + "LANGFLOW_SSRF_PROTECTION_ENABLED": "true", + "LANGFLOW_SSRF_ALLOWED_HOSTS": "192.168.1.0/24", + }, + ), + respx.mock, + ): + respx.get("http://192.168.1.5/api").mock(return_value=Response(200, json={"status": "ok"})) + + result = await component.make_api_request() + assert isinstance(result, Data) + assert result.data["result"]["status"] == "ok" + + async def test_ssrf_allowlist_multiple_entries(self, component): + """Test that multiple allowlist entries work correctly.""" + component.url_input = "http://192.168.1.5/api" + + with ( + patch.dict( + os.environ, + { + "LANGFLOW_SSRF_PROTECTION_ENABLED": "true", + "LANGFLOW_SSRF_ALLOWED_HOSTS": "localhost,192.168.1.0/24,internal.local", + }, ), respx.mock, ): respx.get("http://192.168.1.5/api").mock(return_value=Response(200, json={"status": "ok"})) - # Should not raise - IP is in allowlisted CIDR range result = await component.make_api_request() assert isinstance(result, Data) - async def test_ssrf_protection_warn_only_mode(self, component): - """Test that warn_only mode logs warnings instead of blocking.""" - component.url_input = "http://127.0.0.1:8080/admin" + async def test_dns_pinning_is_used_when_protection_enabled(self, component): + """Test that DNS pinning (custom transport) is used when SSRF protection is enabled.""" + from unittest.mock import AsyncMock - with patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), respx.mock: - respx.get("http://127.0.0.1:8080/admin").mock(return_value=Response(200, json={"status": "ok"})) + component.url_input = "https://example.com/api" + + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + patch("lfx.components.data_source.api_request.create_ssrf_protected_client") as mock_create_client, + respx.mock, + ): + # Mock the context manager returned by create_ssrf_protected_client + mock_client = AsyncMock() + mock_client.__aenter__.return_value = mock_client + mock_client.__aexit__.return_value = None + mock_create_client.return_value = mock_client + + # Mock the make_request to return a Data object + component.make_request = AsyncMock(return_value=Data(data={"status": "ok"})) + + await component.make_api_request() + + # Verify that create_ssrf_protected_client was called (DNS pinning is used) + mock_create_client.assert_called_once() + call_kwargs = mock_create_client.call_args[1] + assert call_kwargs["hostname"] == "example.com" + assert len(call_kwargs["validated_ips"]) > 0 # Should have validated IPs + + async def test_normal_client_used_when_protection_disabled(self, component): + """Test that normal httpx client is used when SSRF protection is disabled.""" + component.url_input = "https://example.com/api" + + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "false"}), + patch("lfx.components.data_source.api_request.create_ssrf_protected_client") as mock_create_client, + respx.mock, + ): + respx.get("https://example.com/api").mock(return_value=Response(200, json={"status": "ok"})) - # In warn_only mode (default), should not raise but should log result = await component.make_api_request() - assert isinstance(result, Data) - # TODO: In next major version, this should raise instead of just warning + # Verify that create_ssrf_protected_client was NOT called + mock_create_client.assert_not_called() + assert isinstance(result, Data) async def test_follow_redirects_security_warning(self, component): """Test that enabling follow_redirects logs a security warning.""" @@ -527,58 +632,55 @@ class TestAPIRequestSSRFProtection: component.url_input = "https://example.com/api" component.follow_redirects = True - - # Mock the log method to capture what's being logged component.log = MagicMock() - with respx.mock: + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "false"}), + respx.mock, + ): respx.get("https://example.com/api").mock(return_value=Response(200, json={"status": "ok"})) - result = await component.make_api_request() - assert isinstance(result, Data) + await component.make_api_request() - # Verify log was called with security warning + # Verify security warning was logged component.log.assert_called() - log_call_args = component.log.call_args[0][0] - assert "Security Warning" in log_call_args - assert "SSRF bypass" in log_call_args - assert "redirects are enabled" in log_call_args + all_log_messages = [call[0][0] for call in component.log.call_args_list] + security_warning_found = any("Security Warning" in msg and "SSRF bypass" in msg for msg in all_log_messages) + assert security_warning_found, f"Security warning not found in: {all_log_messages}" - async def test_follow_redirects_disabled_by_default(self, component): - """Test that follow_redirects is disabled by default.""" - # Verify the default value is False - assert component.follow_redirects is False - - async def test_url_normalization(self, component): + async def test_url_normalization_adds_https(self, component): """Test that URLs without protocol get normalized to https://.""" - # Test URL without protocol component.url_input = "example.com" - with respx.mock: + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "false"}), + respx.mock, + ): respx.get("https://example.com").mock(return_value=Response(200, json={"status": "ok"})) result = await component.make_api_request() - assert isinstance(result, Data) assert result.data["source"] == "https://example.com" - async def test_url_normalization_preserves_protocol(self, component): - """Test that URLs with protocol are not modified.""" - # Test http:// is preserved + async def test_url_normalization_preserves_http(self, component): + """Test that http:// protocol is preserved.""" component.url_input = "http://example.com" - with respx.mock: + with ( + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "false"}), + respx.mock, + ): respx.get("http://example.com").mock(return_value=Response(200, json={"status": "ok"})) result = await component.make_api_request() - assert isinstance(result, Data) assert result.data["source"] == "http://example.com" - # Test https:// is preserved - component.url_input = "https://example.com" + async def test_invalid_url_raises_error(self, component): + """Test that invalid URLs raise ValueError.""" + component.url_input = "not_a_valid_url" - with respx.mock: - respx.get("https://example.com").mock(return_value=Response(200, json={"status": "ok"})) + with pytest.raises(ValueError, match="Invalid URL provided"): + await component.make_api_request() - result = await component.make_api_request() - assert isinstance(result, Data) - assert result.data["source"] == "https://example.com" + async def test_follow_redirects_disabled_by_default(self, component): + """Test that follow_redirects is disabled by default for security.""" + assert component.follow_redirects is False diff --git a/src/backend/tests/unit/components/data_source/test_dns_rebinding.py b/src/backend/tests/unit/components/data_source/test_dns_rebinding.py new file mode 100644 index 0000000000..5471b685f1 --- /dev/null +++ b/src/backend/tests/unit/components/data_source/test_dns_rebinding.py @@ -0,0 +1,374 @@ +"""Test DNS rebinding protection in API Request component. + +This test suite verifies that the DNS pinning implementation prevents +DNS rebinding attacks that could bypass SSRF protection. +""" +# ruff: noqa: ARG001, SIM117 + +import os +import socket +from unittest.mock import patch + +import httpcore +import httpx +import pytest +from lfx.components.data_source.api_request import APIRequestComponent +from lfx.schema import Data + + +class TestDNSRebindingProtection: + """Test DNS rebinding attack prevention through DNS pinning.""" + + @pytest.fixture + def component(self): + """Create a basic API request component.""" + return APIRequestComponent( + url_input="http://rebinding.test:8080/api", + method="GET", + headers=[], + body=[], + timeout=30, + follow_redirects=False, + save_to_file=False, + include_httpx_metadata=False, + mode="URL", + curl_input="", + query_params={}, + ) + + @pytest.mark.asyncio + async def test_dns_pinning_prevents_rebinding_attack(self, component): + """Test that DNS pinning prevents DNS rebinding attacks. + + This test simulates a DNS rebinding attack where: + 1. First DNS lookup (validation): returns public IP (8.8.8.8) + 2. Second DNS lookup (httpx): would return localhost (127.0.0.1) + + With DNS pinning, the second lookup should NOT happen - the validated + IP from the first lookup should be used directly at the network layer. + """ + call_count = 0 + connected_to_ip = None + + def mock_getaddrinfo(_hostname, _port, *_args, **_kwargs): + """Mock DNS resolution to simulate rebinding attack.""" + nonlocal call_count + call_count += 1 + + if call_count == 1: + # First call (during validation): return public IP + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("8.8.8.8", 0))] + # Second call (during httpx request): return localhost + # This simulates the DNS rebinding attack + # With DNS pinning, this should NOT be called + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("127.0.0.1", 0))] + + # Mock the network backend's connect_tcp to capture the actual IP being connected to + async def mock_connect_tcp(self, host, port, **kwargs): + """Capture the IP that's actually being connected to.""" + nonlocal connected_to_ip + connected_to_ip = host + # Return a mock stream with proper format (list of bytes) + return httpcore.AsyncMockStream( + [ + b"HTTP/1.1 200 OK\r\n", + b"Content-Type: application/json\r\n", + b"Content-Length: 15\r\n", + b"\r\n", + b'{"status":"ok"}', + ] + ) + + with ( + patch("socket.getaddrinfo", side_effect=mock_getaddrinfo), + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + patch.object(httpcore.AnyIOBackend, "connect_tcp", mock_connect_tcp), + ): + # Execute the request + result = await component.make_api_request() + + # Verify the request succeeded + assert result is not None + + # CRITICAL CHECK: DNS should only be called once (during validation) + # If called twice, DNS pinning failed and the attack succeeded + assert call_count == 1, ( + f"DNS was called {call_count} times. Expected 1 (validation only). " + "DNS pinning failed - the component is vulnerable to DNS rebinding!" + ) + + # Verify the connection was made to the pinned IP + assert connected_to_ip is not None, "No TCP connection was made" + assert connected_to_ip == "8.8.8.8", ( + f"Connection should be to pinned IP 8.8.8.8, but was to {connected_to_ip}" + ) + + @pytest.mark.asyncio + async def test_dns_pinning_preserves_hostname_in_header(self, component): + """Test that DNS pinning connects to pinned IP while preserving hostname for TLS. + + With network-level DNS pinning: + - TCP connection goes to the pinned IP (93.184.216.34) + - URL preserves the original hostname (rebinding.test) + - This allows TLS SNI and certificate verification to work correctly + + This is important for: + - Virtual hosting (multiple sites on same IP) + - SNI (Server Name Indication) for HTTPS + - Certificate verification (cert is for hostname, not IP) + """ + connected_to_ip = None + + def mock_getaddrinfo(hostname, port, *args, **kwargs): + """Mock DNS resolution.""" + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("93.184.216.34", 0))] + + # Mock network backend to capture TCP connection + async def mock_connect_tcp(self, host, port, **kwargs): + """Capture the IP that TCP connects to.""" + nonlocal connected_to_ip + connected_to_ip = host + return httpcore.AsyncMockStream( + [ + b"HTTP/1.1 200 OK\r\n", + b"Content-Type: application/json\r\n", + b"Content-Length: 15\r\n", + b"\r\n", + b'{"status":"ok"}', + ] + ) + + with ( + patch("socket.getaddrinfo", side_effect=mock_getaddrinfo), + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + patch.object(httpcore.AnyIOBackend, "connect_tcp", mock_connect_tcp), + ): + result = await component.make_api_request() + + # Verify the request succeeded + assert result is not None + + # Verify TCP connection was made to the pinned IP + assert connected_to_ip is not None, "No TCP connection was made" + assert connected_to_ip == "93.184.216.34", ( + f"TCP connection should be to pinned IP 93.184.216.34, but was to {connected_to_ip}" + ) + + @pytest.mark.asyncio + async def test_dns_pinning_with_direct_ip_address(self, component): + """Test that direct IP addresses work correctly (no DNS pinning needed).""" + component.url_input = "http://93.184.216.34:8080/api" + + def mock_getaddrinfo(hostname, port, *args, **kwargs): + """Mock DNS resolution - should not be called for direct IPs.""" + # For direct IPs, socket.getaddrinfo is still called but returns the same IP + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("93.184.216.34", 0))] + + mock_response = httpx.Response(200, json={"status": "ok"}) + + with ( + patch("socket.getaddrinfo", side_effect=mock_getaddrinfo), + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + patch("httpx.AsyncClient.request", return_value=mock_response) as mock_request, + ): + result = await component.make_api_request() + + # Verify the request succeeded + assert isinstance(result, Data) + assert mock_request.called + + @pytest.mark.asyncio + async def test_dns_pinning_disabled_when_protection_disabled(self, component): + """Test that DNS pinning is skipped when SSRF protection is disabled.""" + call_count = 0 + + def mock_getaddrinfo(hostname, port, *args, **kwargs): + """Mock DNS resolution.""" + nonlocal call_count + call_count += 1 + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("8.8.8.8", 0))] + + mock_response = httpx.Response(200, json={"status": "ok"}) + + with ( + patch("socket.getaddrinfo", side_effect=mock_getaddrinfo), + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "false"}), + patch("httpx.AsyncClient.request", return_value=mock_response) as mock_request, + ): + result = await component.make_api_request() + + # Verify the request succeeded + assert isinstance(result, Data) + assert mock_request.called + + # When protection is disabled, DNS pinning is not used + # So DNS might be called multiple times (once by httpx) + # This is expected behavior when protection is off + + @pytest.mark.asyncio + async def test_dns_pinning_blocks_private_ip_resolution(self, component): + """Test that DNS pinning blocks hostnames that resolve to private IPs.""" + component.url_input = "http://internal.example.com/api" + + def mock_getaddrinfo(hostname, port, *args, **kwargs): + """Mock DNS resolution to return private IP.""" + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("192.168.1.1", 0))] + + with ( + patch("socket.getaddrinfo", side_effect=mock_getaddrinfo), + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + ): + # Should raise ValueError due to SSRF protection + with pytest.raises(ValueError, match="SSRF Protection"): + await component.make_api_request() + + @pytest.mark.asyncio + async def test_dns_pinning_with_ipv6(self, component): + """Test that DNS pinning works with IPv6 addresses. + + With network-level DNS pinning: + - TCP connection goes to the IPv6 address + - URL preserves the original hostname + - IPv6 addresses don't need brackets in connect_tcp (only in URLs) + """ + component.url_input = "http://ipv6.example.com/api" + connected_to_ip = None + + def mock_getaddrinfo(hostname, port, *args, **kwargs): + """Mock DNS resolution to return IPv6.""" + return [(socket.AF_INET6, socket.SOCK_STREAM, 6, "", ("2001:4860:4860::8888", 0))] + + # Mock network backend to capture TCP connection + async def mock_connect_tcp(self, host, port, **kwargs): + """Capture the IP that TCP connects to.""" + nonlocal connected_to_ip + connected_to_ip = host + return httpcore.AsyncMockStream( + [ + b"HTTP/1.1 200 OK\r\n", + b"Content-Type: application/json\r\n", + b"Content-Length: 15\r\n", + b"\r\n", + b'{"status":"ok"}', + ] + ) + + with ( + patch("socket.getaddrinfo", side_effect=mock_getaddrinfo), + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + patch.object(httpcore.AnyIOBackend, "connect_tcp", mock_connect_tcp), + ): + result = await component.make_api_request() + + # Verify the request succeeded + assert isinstance(result, Data) + + # Verify TCP connection was made to the IPv6 address + assert connected_to_ip is not None, "No TCP connection was made" + assert connected_to_ip == "2001:4860:4860::8888", ( + f"TCP connection should be to IPv6 2001:4860:4860::8888, but was to {connected_to_ip}" + ) + + @pytest.mark.asyncio + async def test_dns_pinning_with_allowlisted_host(self, component): + """Test that allowlisted hosts bypass DNS pinning and preserve original hostname.""" + component.url_input = "http://internal.example.com:8080/api" # Use a valid hostname format + captured_request = None + + def mock_getaddrinfo(hostname, port, *args, **kwargs): + """Mock DNS resolution.""" + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("10.0.0.1", 0))] + + # Mock the transport's handle_async_request to capture the rewritten request + async def mock_handle_async_request(_self, request): + """Capture the request after transport rewrite.""" + nonlocal captured_request + captured_request = request + return httpx.Response(200, json={"status": "ok"}, request=request) + + with ( + patch("socket.getaddrinfo", side_effect=mock_getaddrinfo), + patch.dict( + os.environ, + { + "LANGFLOW_SSRF_PROTECTION_ENABLED": "true", + "LANGFLOW_SSRF_ALLOWED_HOSTS": "internal.example.com,10.0.0.1", + }, + ), + # Patch get_allowed_hosts to return the allowlist directly + patch( + "lfx.utils.ssrf_protection.get_allowed_hosts", + return_value=["internal.example.com", "10.0.0.1"], + ), + patch.object(httpx.AsyncHTTPTransport, "handle_async_request", mock_handle_async_request), + ): + result = await component.make_api_request() + + # Verify the request succeeded + assert isinstance(result, Data) + assert captured_request is not None, "Transport did not capture request" + + # Verify the original hostname is preserved (no DNS pinning for allowlisted hosts) + url_str = str(captured_request.url) + assert "internal.example.com" in url_str, f"Allowlisted host should preserve hostname: {url_str}" + assert "10.0.0.1" not in url_str, f"Allowlisted host should not use IP: {url_str}" + + @pytest.mark.asyncio + async def test_dns_pinning_with_multiple_ips_fallback(self, component): + """Test that DNS pinning tries multiple IPs when first one fails (dual-stack/load balancing).""" + component.url_input = "http://dual-stack.example.com/api" + + # Track which IPs were attempted + attempted_ips = [] + + def mock_getaddrinfo(host, port, family=0, type_=0, proto=0, flags=0): + """Mock DNS resolution to return multiple IPs (IPv4 and IPv6).""" + if host == "dual-stack.example.com": + # Return both IPv4 and IPv6 addresses (dual-stack) + return [ + (socket.AF_INET, socket.SOCK_STREAM, 6, "", ("93.184.216.34", 0)), # IPv4 + (socket.AF_INET6, socket.SOCK_STREAM, 6, "", ("2606:2800:220:1:248:1893:25c8:1946", 0)), # IPv6 + ] + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", (host, 0))] + + async def mock_connect_tcp(self, host, port, **kwargs): + """Mock connection that fails on first IP, succeeds on second.""" + nonlocal attempted_ips + attempted_ips.append(host) + + # First IP fails (simulating IPv4 unreachable) + if host == "93.184.216.34": + msg = "Connection refused" + raise OSError(msg) + + # Second IP succeeds (IPv6 works) + if host == "2606:2800:220:1:248:1893:25c8:1946": + return httpcore.AsyncMockStream( + [ + b"HTTP/1.1 200 OK\r\n", + b"Content-Type: application/json\r\n", + b"Content-Length: 15\r\n", + b"\r\n", + b'{"status":"ok"}', + ] + ) + + msg = f"Unexpected host: {host}" + raise OSError(msg) + + with ( + patch("socket.getaddrinfo", side_effect=mock_getaddrinfo), + patch.dict(os.environ, {"LANGFLOW_SSRF_PROTECTION_ENABLED": "true"}), + patch.object(httpcore.AnyIOBackend, "connect_tcp", mock_connect_tcp), + ): + # Execute the request + result = await component.make_api_request() + + # Verify both IPs were attempted in order + assert len(attempted_ips) == 2 + assert attempted_ips[0] == "93.184.216.34" # IPv4 tried first + assert attempted_ips[1] == "2606:2800:220:1:248:1893:25c8:1946" # IPv6 tried second + + # Verify the result (should succeed with second IP) + assert isinstance(result, Data) + assert result.data is not None diff --git a/src/backend/tests/unit/components/files_and_knowledge/test_retrieval.py b/src/backend/tests/unit/components/files_and_knowledge/test_retrieval.py index 8b24ddaa24..c392b50669 100644 --- a/src/backend/tests/unit/components/files_and_knowledge/test_retrieval.py +++ b/src/backend/tests/unit/components/files_and_knowledge/test_retrieval.py @@ -1,3 +1,4 @@ +import importlib.util import json import uuid from pathlib import Path @@ -9,6 +10,12 @@ from lfx.components.files_and_knowledge.retrieval import KnowledgeBaseComponent from tests.base import ComponentTestBaseWithClient +# langchain-ibm is gated to python_version<'3.14' in pyproject.toml because +# upstream pins exclude 3.14. Tests that patch langchain_ibm.* directly must +# be skipped when the package is unavailable. +_HAS_LANGCHAIN_IBM = importlib.util.find_spec("langchain_ibm") is not None +_NO_LANGCHAIN_IBM_REASON = "langchain-ibm not available (gated to python_version<'3.14')" + class TestKnowledgeBaseComponent(ComponentTestBaseWithClient): @pytest.fixture @@ -331,6 +338,7 @@ class TestKnowledgeBaseComponent(ComponentTestBaseWithClient): ) assert result == mock_embeddings + @pytest.mark.skipif(not _HAS_LANGCHAIN_IBM, reason=_NO_LANGCHAIN_IBM_REASON) @patch("langchain_ibm.WatsonxEmbeddings") def test_build_embeddings_watsonx(self, mock_watsonx_embeddings, component_class, default_kwargs): """Test building IBM WatsonX embeddings.""" @@ -363,6 +371,7 @@ class TestKnowledgeBaseComponent(ComponentTestBaseWithClient): ) assert result == mock_embeddings + @pytest.mark.skipif(not _HAS_LANGCHAIN_IBM, reason=_NO_LANGCHAIN_IBM_REASON) def test_build_embeddings_watsonx_no_key(self, component_class, default_kwargs): """Test building IBM WatsonX embeddings without API key raises error.""" component = component_class(**default_kwargs) @@ -748,6 +757,7 @@ class TestKnowledgeBaseComponent(ComponentTestBaseWithClient): mock_ollama_embeddings.assert_called_once_with(model="nomic-embed-text") assert result == mock_embeddings + @pytest.mark.skipif(not _HAS_LANGCHAIN_IBM, reason=_NO_LANGCHAIN_IBM_REASON) @patch("langchain_ibm.WatsonxEmbeddings") def test_build_embeddings_watsonx_api_key_from_provider_vars( self, mock_watsonx_embeddings, component_class, default_kwargs @@ -781,6 +791,7 @@ class TestKnowledgeBaseComponent(ComponentTestBaseWithClient): ) assert result == mock_embeddings + @pytest.mark.skipif(not _HAS_LANGCHAIN_IBM, reason=_NO_LANGCHAIN_IBM_REASON) @patch("langchain_ibm.WatsonxEmbeddings") def test_build_embeddings_watsonx_partial_vars(self, mock_watsonx_embeddings, component_class, default_kwargs): """Test WatsonX with only apikey, no project_id or url.""" diff --git a/src/backend/tests/unit/components/languagemodels/test_baidu_qianfan.py b/src/backend/tests/unit/components/languagemodels/test_baidu_qianfan.py index e72693cb08..0697585eee 100644 --- a/src/backend/tests/unit/components/languagemodels/test_baidu_qianfan.py +++ b/src/backend/tests/unit/components/languagemodels/test_baidu_qianfan.py @@ -1,10 +1,28 @@ import os import pytest -from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint from langchain_core.messages import HumanMessage -from lfx.components.baidu.baidu_qianfan_chat import QianfanChatEndpointComponent -from qianfan.errors import APIError + +# Skip the entire module if the optional Qianfan stack cannot be imported. +# qianfan's GlobalConfig is a pydantic.v1 BaseSettings model and has been +# observed to fail at class-construction time in some environments +# (`pydantic.v1.errors.ConfigError: unable to infer type for attribute "AK"`), +# which crashes collection. These tests are all `api_key_required` and are +# skipped in normal CI anyway — guard the imports so collection never crashes. +# NOTE: pytest.importorskip only catches ImportError; qianfan can raise +# pydantic.v1.errors.ConfigError on Python 3.14+, so we catch broadly. +try: + import qianfan + from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint + + APIError = qianfan.errors.APIError + + from lfx.components.baidu.baidu_qianfan_chat import QianfanChatEndpointComponent +except Exception: + pytest.skip( + "qianfan stack is not importable (likely pydantic v1 incompatibility)", + allow_module_level=True, + ) @pytest.fixture diff --git a/src/backend/tests/unit/components/models_and_agents/test_altk_agent.py b/src/backend/tests/unit/components/models_and_agents/test_altk_agent.py index dabfd0dc8d..0784983a8d 100644 --- a/src/backend/tests/unit/components/models_and_agents/test_altk_agent.py +++ b/src/backend/tests/unit/components/models_and_agents/test_altk_agent.py @@ -3,6 +3,13 @@ from typing import Any from uuid import uuid4 import pytest + +try: + import altk # noqa: F401 +except ImportError: + # agent-lifecycle-toolkit is gated to python_version<'3.14' upstream. + pytest.skip("altk (agent-lifecycle-toolkit) not available", allow_module_level=True) + from langflow.custom import Component from lfx.base.models.anthropic_constants import ANTHROPIC_MODELS from lfx.components.altk.altk_agent import ALTKAgentComponent diff --git a/src/backend/tests/unit/components/models_and_agents/test_altk_agent_logic.py b/src/backend/tests/unit/components/models_and_agents/test_altk_agent_logic.py index a1007db091..e4196517c5 100644 --- a/src/backend/tests/unit/components/models_and_agents/test_altk_agent_logic.py +++ b/src/backend/tests/unit/components/models_and_agents/test_altk_agent_logic.py @@ -8,6 +8,13 @@ from unittest.mock import MagicMock from uuid import uuid4 import pytest + +try: + import altk # noqa: F401 +except ImportError: + # agent-lifecycle-toolkit is gated to python_version<'3.14' upstream. + pytest.skip("altk (agent-lifecycle-toolkit) not available", allow_module_level=True) + from langchain_core.messages import HumanMessage from langchain_core.tools import BaseTool from lfx.base.agents.altk_base_agent import ( diff --git a/src/backend/tests/unit/components/models_and_agents/test_altk_agent_tool_conversion.py b/src/backend/tests/unit/components/models_and_agents/test_altk_agent_tool_conversion.py index afe2fe5356..2370c8289c 100644 --- a/src/backend/tests/unit/components/models_and_agents/test_altk_agent_tool_conversion.py +++ b/src/backend/tests/unit/components/models_and_agents/test_altk_agent_tool_conversion.py @@ -1,3 +1,11 @@ +import pytest + +try: + import altk # noqa: F401 +except ImportError: + # agent-lifecycle-toolkit is gated to python_version<'3.14' upstream. + pytest.skip("altk (agent-lifecycle-toolkit) not available", allow_module_level=True) + from langchain_core.tools import BaseTool from lfx.base.agents.altk_tool_wrappers import PreToolValidationWrapper from lfx.log.logger import logger diff --git a/src/backend/tests/unit/components/models_and_agents/test_conversation_context_ordering.py b/src/backend/tests/unit/components/models_and_agents/test_conversation_context_ordering.py index fedcb481ee..bbd4972894 100644 --- a/src/backend/tests/unit/components/models_and_agents/test_conversation_context_ordering.py +++ b/src/backend/tests/unit/components/models_and_agents/test_conversation_context_ordering.py @@ -5,6 +5,14 @@ This test ensures that conversation context maintains proper chronological order SPARC tool validation and conversation flow understanding. """ +import pytest + +try: + import altk # noqa: F401 +except ImportError: + # agent-lifecycle-toolkit is gated to python_version<'3.14' upstream. + pytest.skip("altk (agent-lifecycle-toolkit) not available", allow_module_level=True) + from langchain_core.messages import AIMessage, HumanMessage from lfx.base.agents.altk_base_agent import ALTKBaseAgentComponent from lfx.schema.message import Message diff --git a/src/backend/tests/unit/components/test_all_modules_importable.py b/src/backend/tests/unit/components/test_all_modules_importable.py index 32fa955ed9..53688e5e76 100644 --- a/src/backend/tests/unit/components/test_all_modules_importable.py +++ b/src/backend/tests/unit/components/test_all_modules_importable.py @@ -44,6 +44,18 @@ class TestAllModulesImportable: def test_all_components_in_categories_importable(self): """Test that all components in each category's __all__ can be imported.""" + import sys + + # Components whose underlying packages are gated to python_version<'3.14' + # in pyproject.toml because upstream pins exclude 3.14. These are expected + # to fail import on 3.14 until the upstreams adapt. + gated_on_py314 = { + "altk.ALTKAgentComponent", + "ibm.WatsonxAIComponent", + "ibm.WatsonxEmbeddingsComponent", + } + on_py314 = sys.version_info >= (3, 14) + failed_imports = [] successful_imports = 0 @@ -58,6 +70,7 @@ class TestAllModulesImportable: print(f"Testing {category_components} components in {category_name}") # noqa: T201 for component_name in category_module.__all__: + qualified = f"{category_name}.{component_name}" try: component = getattr(category_module, component_name) assert component is not None, f"Component {component_name} is None" @@ -65,8 +78,11 @@ class TestAllModulesImportable: successful_imports += 1 except Exception as e: - failed_imports.append(f"{category_name}.{component_name}: {e!s}") - print(f"FAILED: {category_name}.{component_name}: {e!s}") # noqa: T201 + if on_py314 and qualified in gated_on_py314: + print(f"SKIPPED on 3.14: {qualified}: {e!s}") # noqa: T201 + continue + failed_imports.append(f"{qualified}: {e!s}") + print(f"FAILED: {qualified}: {e!s}") # noqa: T201 else: # Category doesn't have __all__, skip print(f"Skipping {category_name} (no __all__ attribute)") # noqa: T201 @@ -387,6 +403,11 @@ class TestDirectModuleImports: "redis", "elasticsearch", "langchain_community", + # Gated to python_version<'3.14' in pyproject.toml until + # upstream caps lift. + "altk", + "langchain_ibm", + "ibm_watsonx_ai", ] ): return ("skipped", modname, "missing optional dependency") diff --git a/src/backend/tests/unit/serialization/test_serialization.py b/src/backend/tests/unit/serialization/test_serialization.py index 8e2f1cc654..6e03845be3 100644 --- a/src/backend/tests/unit/serialization/test_serialization.py +++ b/src/backend/tests/unit/serialization/test_serialization.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import math from datetime import datetime, timezone from typing import Any diff --git a/src/backend/tests/unit/services/tracing/test_langfuse_v3_compatibility.py b/src/backend/tests/unit/services/tracing/test_langfuse_v3_compatibility.py index d9e134396b..8312383e71 100644 --- a/src/backend/tests/unit/services/tracing/test_langfuse_v3_compatibility.py +++ b/src/backend/tests/unit/services/tracing/test_langfuse_v3_compatibility.py @@ -8,6 +8,8 @@ See: https://langfuse.com/docs/observability/sdk/upgrade-path """ import os +import sys +import types import uuid from unittest.mock import MagicMock, patch @@ -28,41 +30,66 @@ def langfuse_env_vars(): yield +def _clear_failed_langfuse_import() -> None: + """Remove partially imported Langfuse modules after SDK import failures.""" + for module_name in list(sys.modules): + if module_name == "langfuse" or module_name.startswith("langfuse."): + sys.modules.pop(module_name, None) + + +def _import_langfuse_or_skip(): + try: + from langfuse import Langfuse + except Exception as exc: + _clear_failed_langfuse_import() + pytest.skip(f"langfuse SDK is not importable: {exc}") + return Langfuse + + +def _import_callback_handler_or_skip(): + try: + from langfuse.langchain import CallbackHandler + except Exception as exc: + _clear_failed_langfuse_import() + pytest.skip(f"langfuse LangChain callback handler is not importable: {exc}") + return CallbackHandler + + class TestLangfuseV3ApiExists: """Verify that the langfuse v3 API methods we need actually exist.""" def test_langfuse_client_has_start_span(self): """Verify start_span method exists (v3 API).""" - from langfuse import Langfuse + langfuse_class = _import_langfuse_or_skip() - assert hasattr(Langfuse, "start_span"), "Langfuse.start_span() should exist in v3" + assert hasattr(langfuse_class, "start_span"), "Langfuse.start_span() should exist in v3" def test_langfuse_client_has_start_as_current_span(self): """Verify start_as_current_span method exists (v3 API).""" - from langfuse import Langfuse + langfuse_class = _import_langfuse_or_skip() - assert hasattr(Langfuse, "start_as_current_span"), "Langfuse.start_as_current_span() should exist in v3" + assert hasattr(langfuse_class, "start_as_current_span"), "Langfuse.start_as_current_span() should exist in v3" def test_langfuse_client_has_create_trace_id(self): """Verify create_trace_id method exists (v3 API).""" - from langfuse import Langfuse + langfuse_class = _import_langfuse_or_skip() - assert hasattr(Langfuse, "create_trace_id"), "Langfuse.create_trace_id() should exist in v3" + assert hasattr(langfuse_class, "create_trace_id"), "Langfuse.create_trace_id() should exist in v3" def test_langfuse_client_does_not_have_trace(self): """Verify trace() method was removed in v3.""" - from langfuse import Langfuse + langfuse_class = _import_langfuse_or_skip() # This test documents that trace() no longer exists # If this fails, langfuse may have restored backward compatibility - assert not hasattr(Langfuse, "trace"), "Langfuse.trace() should NOT exist in v3 (removed)" + assert not hasattr(langfuse_class, "trace"), "Langfuse.trace() should NOT exist in v3 (removed)" def test_callback_handler_import_path(self): """Verify the v3 callback handler import path works.""" # v3 path - from langfuse.langchain import CallbackHandler + callback_handler = _import_callback_handler_or_skip() - assert CallbackHandler is not None + assert callback_handler is not None class TestLangfuseTracerV3Compatibility: @@ -91,7 +118,29 @@ class TestLangfuseTracerFunctionality: @pytest.fixture def mock_langfuse(self): """Create a mock langfuse client that simulates v3 API.""" - with patch("langfuse.Langfuse") as mock_langfuse_class: + + class TraceContext(dict): + pass + + mock_langfuse_module = types.ModuleType("langfuse") + mock_langfuse_types_module = types.ModuleType("langfuse.types") + mock_langfuse_langchain_module = types.ModuleType("langfuse.langchain") + + mock_langfuse_class = MagicMock() + mock_langfuse_types_module.TraceContext = TraceContext + mock_langfuse_langchain_module.CallbackHandler = MagicMock() + mock_langfuse_module.Langfuse = mock_langfuse_class + mock_langfuse_module.types = mock_langfuse_types_module + mock_langfuse_module.langchain = mock_langfuse_langchain_module + + with patch.dict( + sys.modules, + { + "langfuse": mock_langfuse_module, + "langfuse.types": mock_langfuse_types_module, + "langfuse.langchain": mock_langfuse_langchain_module, + }, + ): mock_client = MagicMock() mock_langfuse_class.return_value = mock_client mock_langfuse_class.create_trace_id = MagicMock(return_value="a" * 32) diff --git a/src/backend/tests/unit/test_custom_component.py b/src/backend/tests/unit/test_custom_component.py index 1bcdcd15fa..506abc1ed6 100644 --- a/src/backend/tests/unit/test_custom_component.py +++ b/src/backend/tests/unit/test_custom_component.py @@ -241,7 +241,7 @@ def test_code_parser_parse_callable_details_no_args(): def test_code_parser_parse_assign(): """Test the parse_assign method of the CodeParser class.""" parser = CodeParser("") - stmt = ast.Assign(targets=[ast.Name(id="x", ctx=ast.Store())], value=ast.Num(n=1)) + stmt = ast.Assign(targets=[ast.Name(id="x", ctx=ast.Store())], value=ast.Constant(value=1)) result = parser.parse_assign(stmt) assert result["name"] == "x" assert result["value"] == "1" @@ -253,7 +253,7 @@ def test_code_parser_parse_ann_assign(): stmt = ast.AnnAssign( target=ast.Name(id="x", ctx=ast.Store()), annotation=ast.Name(id="int", ctx=ast.Load()), - value=ast.Num(n=1), + value=ast.Constant(value=1), simple=1, ) result = parser.parse_ann_assign(stmt) diff --git a/src/backend/tests/unit/test_database.py b/src/backend/tests/unit/test_database.py index fb620d4253..d85b40b61c 100644 --- a/src/backend/tests/unit/test_database.py +++ b/src/backend/tests/unit/test_database.py @@ -981,9 +981,11 @@ async def test_download_project_zip_sanitizes_flow_names(client: AsyncClient, js @pytest.mark.usefixtures("session") async def test_upload_bad_zip_file_returns_400(client: AsyncClient, logged_in_headers): """Uploading a corrupt/invalid ZIP file returns 400 with a descriptive error.""" - # Build a payload that passes zipfile.is_zipfile() but fails ZipFile() construction. - # We keep only the end-of-central-directory record (last 22 bytes of a real ZIP) - # prepended with garbage, so the EOCD signature is found but the central directory is invalid. + # Payload with an EOCD signature prepended by garbage. Python 3.10-3.13 treat + # this as a ZIP and fail in ZipFile() construction ("not a valid ZIP archive"); + # Python 3.14's stricter zipfile.is_zipfile() rejects it and the route falls + # through to the JSON branch ("Invalid JSON file"). Both paths return 400 with + # a descriptive detail, which is the user-facing contract under test. buf = io.BytesIO() with zipfile.ZipFile(buf, "w") as zf: zf.writestr("dummy.json", '{"name":"x"}') @@ -997,7 +999,8 @@ async def test_upload_bad_zip_file_returns_400(client: AsyncClient, logged_in_he headers=logged_in_headers, ) assert response.status_code == 400 - assert "not a valid ZIP" in response.json()["detail"] + detail = response.json()["detail"] + assert "not a valid ZIP" in detail or "Invalid JSON file" in detail @pytest.mark.usefixtures("session") diff --git a/src/backend/tests/unit/utils/test_concurrency.py b/src/backend/tests/unit/utils/test_concurrency.py index 2252131623..0b0409e32a 100644 --- a/src/backend/tests/unit/utils/test_concurrency.py +++ b/src/backend/tests/unit/utils/test_concurrency.py @@ -177,7 +177,7 @@ class TestKeyedWorkerLockManager: manager = KeyedWorkerLockManager() - mock_cache_dir.assert_called_once_with("langflow") + mock_cache_dir.assert_called_once_with("langflow", ensure_exists=True) assert manager.locks_dir == mock_path_instance.__truediv__.return_value def test_validate_key_valid_keys(self): @@ -376,6 +376,8 @@ class TestKeyedWorkerLockManager: KeyedWorkerLockManager() + # Verify user_cache_dir was called with ensure_exists=True + mock_cache_dir.assert_called_once_with("langflow", ensure_exists=True) # Verify Path was called correctly - mock_path.assert_called_once_with("/test/cache", ensure_exists=True) + mock_path.assert_called_once_with("/test/cache") mock_path_instance.__truediv__.assert_called_once_with("worker_locks") diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index ad86cadb93..7d80a96912 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -1,12 +1,12 @@ { "name": "langflow", - "version": "1.9.2", + "version": "1.9.3", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "langflow", - "version": "1.9.2", + "version": "1.9.3", "dependencies": { "@chakra-ui/number-input": "^2.1.2", "@chakra-ui/system": "^2.6.2", @@ -57,7 +57,7 @@ "framer-motion": "^11.2.10", "fuse.js": "^7.0.0", "i18next": "^25.8.18", - "lodash": "^4.18.0", + "lodash": "^4.17.21", "lucide-react": "^0.575.0", "moment": "^2.30.1", "moment-timezone": "^0.5.48", @@ -217,6 +217,7 @@ "integrity": "sha512-CGOfOJqWjg2qW/Mb6zNsDm+u5vFQ8DxXfbM09z69p5Z6+mE1ikP2jUXw+j42Pf1XTYED2Rni5f95npYeuwMDQA==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "@babel/code-frame": "^7.29.0", "@babel/generator": "^7.29.0", @@ -1082,6 +1083,7 @@ "resolved": "https://registry.npmjs.org/@chakra-ui/styled-system/-/styled-system-2.9.2.tgz", "integrity": "sha512-To/Z92oHpIE+4nk11uVMWqo2GGRS86coeMmjxtpnErmWRdLcp1WVCVRAvn+ZwpLiNR+reWFr2FFqJRsREuZdAg==", "license": "MIT", + "peer": true, "dependencies": { "@chakra-ui/shared-utils": "2.0.5", "csstype": "^3.1.2", @@ -1093,6 +1095,7 @@ "resolved": "https://registry.npmjs.org/@chakra-ui/system/-/system-2.6.2.tgz", "integrity": "sha512-EGtpoEjLrUu4W1fHD+a62XR+hzC5YfsWm+6lO0Kybcga3yYEij9beegO0jZgug27V+Rf7vns95VPVP6mFd/DEQ==", "license": "MIT", + "peer": true, "dependencies": { "@chakra-ui/color-mode": "2.2.0", "@chakra-ui/object-utils": "2.1.0", @@ -1199,6 +1202,7 @@ "resolved": "https://registry.npmjs.org/@codemirror/language/-/language-6.12.3.tgz", "integrity": "sha512-QwCZW6Tt1siP37Jet9Tb02Zs81TQt6qQrZR2H+eGMcFsL1zMrk2/b9CLC7/9ieP1fjIUMgviLWMmgiHoJrj+ZA==", "license": "MIT", + "peer": true, "dependencies": { "@codemirror/state": "^6.0.0", "@codemirror/view": "^6.23.0", @@ -1235,6 +1239,7 @@ "resolved": "https://registry.npmjs.org/@codemirror/state/-/state-6.6.0.tgz", "integrity": "sha512-4nbvra5R5EtiCzr9BTHiTLc+MLXK2QGiAVYMyi8PkQd3SR+6ixar/Q/01Fa21TBIDOZXgeWV4WppsQolSreAPQ==", "license": "MIT", + "peer": true, "dependencies": { "@marijn/find-cluster-break": "^1.0.0" } @@ -1244,6 +1249,7 @@ "resolved": "https://registry.npmjs.org/@codemirror/view/-/view-6.41.1.tgz", "integrity": "sha512-ToDnWKbBnke+ZLrP6vgTTDScGi5H37YYuZGniQaBzxMVdtCxMrslsmtnOvbPZk4RX9bvkQqnWR/WS/35tJA0qg==", "license": "MIT", + "peer": true, "dependencies": { "@codemirror/state": "^6.6.0", "crelt": "^1.0.6", @@ -1339,6 +1345,7 @@ } ], "license": "MIT", + "peer": true, "engines": { "node": ">=18" }, @@ -1362,6 +1369,7 @@ } ], "license": "MIT", + "peer": true, "engines": { "node": ">=18" } @@ -6007,6 +6015,7 @@ "dev": true, "hasInstallScript": true, "license": "Apache-2.0", + "peer": true, "dependencies": { "@swc/counter": "^0.1.3", "@swc/types": "^0.1.26" @@ -6413,6 +6422,7 @@ "integrity": "sha512-o4PXJQidqJl82ckFaXUeoAW+XysPLauYI43Abki5hABd853iMhitooc6znOnczgbTYmEP6U6/y1ZyKAIsvMKGg==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "@babel/code-frame": "^7.10.4", "@babel/runtime": "^7.12.5", @@ -7124,6 +7134,7 @@ "resolved": "https://registry.npmjs.org/@types/react/-/react-19.2.14.tgz", "integrity": "sha512-ilcTH/UniCkMdtexkoCN0bI7pMcJDvmQFPvuPvmEaYA/NSfFTAgdUSLAoVjaRJm7+6PvcM+q1zYOwS4wTYMF9w==", "license": "MIT", + "peer": true, "dependencies": { "csstype": "^3.2.2" } @@ -7134,6 +7145,7 @@ "integrity": "sha512-jp2L/eY6fn+KgVVQAOqYItbF0VY/YApe5Mz2F0aykSO8gx31bYCZyvSeYxCHKvzHG5eZjc+zyaS5BrBWya2+kQ==", "devOptional": true, "license": "MIT", + "peer": true, "peerDependencies": { "@types/react": "^19.2.0" } @@ -7149,7 +7161,8 @@ "version": "1.15.9", "resolved": "https://registry.npmjs.org/@types/sortablejs/-/sortablejs-1.15.9.tgz", "integrity": "sha512-7HP+rZGE2p886PKV9c9OJzLBI6BBJu1O7lJGYnPyG3fS4/duUCcngkNCjsLwIMV+WMqANe3tt4irrXHSIe68OQ==", - "license": "MIT" + "license": "MIT", + "peer": true }, "node_modules/@types/stack-utils": { "version": "2.0.3", @@ -7781,6 +7794,7 @@ "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.16.0.tgz", "integrity": "sha512-UVJyE9MttOsBQIDKw1skb9nAwQuR5wuGD3+82K6JgJlm/Y+KI92oNsMNGZCYdDsVtRHSak0pcV5Dno5+4jh9sw==", "license": "MIT", + "peer": true, "bin": { "acorn": "bin/acorn" }, @@ -8281,6 +8295,7 @@ "integrity": "sha512-riJjyv1/mHLIPX4RwiK+oW9/4c3TEUeORHKefKAKnZ5kyslbN+HXowtbaVEqt4IMUB7OXlfixcs6gsFeo/jhiQ==", "dev": true, "license": "Apache-2.0", + "peer": true, "peerDependencies": { "bare-abort-controller": "*" }, @@ -8549,6 +8564,7 @@ } ], "license": "MIT", + "peer": true, "dependencies": { "baseline-browser-mapping": "^2.10.12", "caniuse-lite": "^1.0.30001782", @@ -8941,6 +8957,7 @@ "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz", "integrity": "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==", "license": "MIT", + "peer": true, "dependencies": { "anymatch": "~3.1.2", "braces": "~3.0.2", @@ -9381,6 +9398,7 @@ "resolved": "https://registry.npmjs.org/d3-selection/-/d3-selection-3.0.0.tgz", "integrity": "sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==", "license": "ISC", + "peer": true, "engines": { "node": ">=12" } @@ -9957,6 +9975,7 @@ "integrity": "sha512-bbPBYYrtZbkt6Os6FiTLCTFxvq4tt3JKall1vRwshA3fdVztsLAatFaZobhkBC8/BrPetoa0oksYoKXoG4ryJg==", "hasInstallScript": true, "license": "MIT", + "peer": true, "bin": { "esbuild": "bin/esbuild" }, @@ -10235,6 +10254,7 @@ "integrity": "sha512-hIS4idWWai69NezIdRt2xFVofaF4j+6INOpJlVOLDO8zXGpUVEVzIYk12UUi2JzjEzWL3IOAxcTubgz9Po0yXw==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "accepts": "^2.0.0", "body-parser": "^2.2.1", @@ -11367,6 +11387,7 @@ "integrity": "sha512-jN0ZewiNAWSe5khM3EyCmBb250+b40wWbwNILNfEvq84VREWwOIkuUsFONk/3i3nqkz7Oe1PcpM2mwQEK2L9Kg==", "dev": true, "license": "MIT", + "peer": true, "engines": { "node": ">=16.9.0" } @@ -11519,6 +11540,7 @@ } ], "license": "MIT", + "peer": true, "dependencies": { "@babel/runtime": "^7.29.2" }, @@ -11669,9 +11691,9 @@ } }, "node_modules/ip-address": { - "version": "10.1.0", - "resolved": "https://registry.npmjs.org/ip-address/-/ip-address-10.1.0.tgz", - "integrity": "sha512-XXADHxXmvT9+CRxhXg56LJovE+bmWnEWB78LB83VZTprKTmaC5QfruXocxzTZ2Kl0DNwKuBdlIhjL8LeY8Sf8Q==", + "version": "10.2.0", + "resolved": "https://registry.npmjs.org/ip-address/-/ip-address-10.2.0.tgz", + "integrity": "sha512-/+S6j4E9AHvW9SWMSEY9Xfy66O5PWvVEJ08O0y5JGyEKQpojb0K0GKpz/v5HJ/G0vi3D2sjGK78119oXZeE0qA==", "dev": true, "license": "MIT", "engines": { @@ -12078,6 +12100,7 @@ "integrity": "sha512-AkXIIFcaazymvey2i/+F94XRnM6TsVLZDhBMLsd1Sf/W0wzsvvpjeyUrCZD6HGG4SDYPgDJDBKeiJTBb10WzMg==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "@jest/core": "30.3.0", "@jest/types": "30.3.0", @@ -13664,6 +13687,7 @@ "resolved": "https://registry.npmjs.org/jiti/-/jiti-1.21.7.tgz", "integrity": "sha512-/imKNG4EbWNrVjoNC/1H5/9GFy+tqjGBHCaSsN+P2RnPqjsLmv6UD3Ej+Kj8nBWaRAwyk7kK5ZUc+OEatnTR3A==", "license": "MIT", + "peer": true, "bin": { "jiti": "bin/jiti.js" } @@ -13713,6 +13737,7 @@ "integrity": "sha512-Cvc9WUhxSMEo4McES3P7oK3QaXldCfNWp7pl2NNeiIFlCoLr3kfq9kb1fxftiwk1FLV7CvpvDfonxtzUDeSOPg==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "cssstyle": "^4.2.1", "data-urls": "^5.0.0", @@ -13752,6 +13777,7 @@ "resolved": "https://registry.npmjs.org/jsep/-/jsep-1.4.0.tgz", "integrity": "sha512-B7qPcEVE3NVkmSJbaYxvv4cHkVW7DQsZz13pUMrfS8z8Q/BuShN+gcTXrUlPiGqM2/t/EEaI030bpxMqY8gMlw==", "license": "MIT", + "peer": true, "engines": { "node": ">= 10.16.0" } @@ -16247,6 +16273,7 @@ } ], "license": "MIT", + "peer": true, "dependencies": { "nanoid": "^3.3.11", "picocolors": "^1.1.1", @@ -16669,6 +16696,7 @@ "resolved": "https://registry.npmjs.org/react/-/react-19.2.5.tgz", "integrity": "sha512-llUJLzz1zTUBrskt2pwZgLq59AemifIftw4aB7JxOqf1HY2FDaGDxgwpAPVzHU1kdWabH7FauP4i1oEeer2WCA==", "license": "MIT", + "peer": true, "engines": { "node": ">=0.10.0" } @@ -16762,6 +16790,7 @@ "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-19.2.5.tgz", "integrity": "sha512-J5bAZz+DXMMwW/wV3xzKke59Af6CHY7G4uYLN1OvBcKEsWOs4pQExj86BBKamxl/Ik5bx9whOrvBlSDfWzgSag==", "license": "MIT", + "peer": true, "dependencies": { "scheduler": "^0.27.0" }, @@ -16792,6 +16821,7 @@ "resolved": "https://registry.npmjs.org/react-hook-form/-/react-hook-form-7.74.0.tgz", "integrity": "sha512-yR6wHr99p9wFv686jhRWVSFhUvDvNbdUf2dKlbno8/VKOCuoNobDGC6S+M2dua9A9Yo8vpcrp8assIYbsZCQ9g==", "license": "MIT", + "peer": true, "engines": { "node": ">=18.0.0" }, @@ -17485,6 +17515,7 @@ "integrity": "sha512-J9qZyW++QK/09NyN/zeO0dG/1GdGfyp9lV8ajHnRVLfo/uFsbji5mHnDgn/qYdUHyCkM2N+8VyspgZclfAh0eQ==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "@types/estree": "1.0.8" }, @@ -18003,7 +18034,8 @@ "version": "1.15.7", "resolved": "https://registry.npmjs.org/sortablejs/-/sortablejs-1.15.7.tgz", "integrity": "sha512-Kk8wLQPlS+yi1ZEf48a4+fzHa4yxjC30M/Sr2AnQu+f/MPwvvX9XjZ6OWejiz8crBsLwSq8GHqaxaET7u6ux0A==", - "license": "MIT" + "license": "MIT", + "peer": true }, "node_modules/source-map": { "version": "0.5.7", @@ -18182,6 +18214,7 @@ "integrity": "sha512-vbSz7g/1rGMC1uAULqMZjALkIuLu2QABqfhRYhyr/11kzyesi+vAmwyJLukZP1FfecxGOgMwOh6GS0YsGpHAvQ==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "@storybook/global": "^5.0.0", "@storybook/icons": "^2.0.1", @@ -18556,6 +18589,7 @@ "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.19.tgz", "integrity": "sha512-3ofp+LL8E+pK/JuPLPggVAIaEuhvIz4qNcf3nA1Xn2o/7fb7s/TYpHhwGDv1ZU3PkBluUVaF8PyCHcm48cKLWQ==", "license": "MIT", + "peer": true, "dependencies": { "@alloc/quick-lru": "^5.2.0", "arg": "^5.0.2", @@ -19152,6 +19186,7 @@ "integrity": "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==", "devOptional": true, "license": "Apache-2.0", + "peer": true, "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" @@ -19665,6 +19700,7 @@ "integrity": "sha512-Bby3NOsna2jsjfLVOHKes8sGwgl4TT0E6vvpYgnAYDIF/tie7MRaFthmKuHx1NSXjiTueXH3do80FMQgvEktRg==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "esbuild": "^0.27.0", "fdir": "^6.5.0", @@ -20649,6 +20685,7 @@ "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz", "integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==", "license": "MIT", + "peer": true, "funding": { "url": "https://github.com/sponsors/colinhacks" } @@ -20702,4 +20739,4 @@ } } } -} +} \ No newline at end of file diff --git a/src/frontend/package.json b/src/frontend/package.json index 74de2d2a75..e793617e38 100644 --- a/src/frontend/package.json +++ b/src/frontend/package.json @@ -1,6 +1,6 @@ { "name": "langflow", - "version": "1.9.2", + "version": "1.9.3", "private": true, "engines": { "node": ">=20.19.0" @@ -11,6 +11,7 @@ "glob": "^11.1.0", "test-exclude": "^7.0.0", "picomatch": "^4.0.4", + "ip-address": "^10.1.1", "jest-util": { "picomatch": "^4.0.4" }, @@ -72,7 +73,7 @@ "framer-motion": "^11.2.10", "fuse.js": "^7.0.0", "i18next": "^25.8.18", - "lodash": "^4.18.0", + "lodash": "^4.17.21", "lucide-react": "^0.575.0", "moment": "^2.30.1", "moment-timezone": "^0.5.48", diff --git a/src/frontend/src/components/core/parameterRenderComponent/components/modelInputComponent/__tests__/ModelInputComponent.test.tsx b/src/frontend/src/components/core/parameterRenderComponent/components/modelInputComponent/__tests__/ModelInputComponent.test.tsx index 220abfeca5..07f75486cc 100644 --- a/src/frontend/src/components/core/parameterRenderComponent/components/modelInputComponent/__tests__/ModelInputComponent.test.tsx +++ b/src/frontend/src/components/core/parameterRenderComponent/components/modelInputComponent/__tests__/ModelInputComponent.test.tsx @@ -171,7 +171,10 @@ const defaultProps: BaseInputProps & ModelInputComponentType = { editNode: false, }; -// Helper to render with QueryClientProvider +// Helper to render with QueryClientProvider. Returns the raw RTL handle plus +// a ``rerenderWithProvider`` wrapper so callers can rerender without losing +// the surrounding ``QueryClientProvider`` (rerender replaces the root JSX — +// dropping the wrapper would force a remount and reset component state). const renderWithQueryClient = (component: React.ReactElement) => { const queryClient = new QueryClient({ defaultOptions: { @@ -179,9 +182,13 @@ const renderWithQueryClient = (component: React.ReactElement) => { mutations: { retry: false }, }, }); - return render( - {component}, + const wrap = (node: React.ReactElement) => ( + {node} ); + const result = render(wrap(component)); + const rerenderWithProvider = (node: React.ReactElement) => + result.rerender(wrap(node)); + return { ...result, rerenderWithProvider }; }; describe("ModelInputComponent", () => { @@ -190,14 +197,15 @@ describe("ModelInputComponent", () => { }); describe("Rendering", () => { - it("should render disabled combobox when no options are provided", () => { + it("renders the Setup Provider CTA when no models are enabled", () => { renderWithQueryClient( , ); - const combobox = screen.getByRole("combobox"); - expect(combobox).toBeInTheDocument(); - expect(combobox).toBeDisabled(); + // No combobox — the trigger swaps for the Setup Provider button when + // there's nothing to pick from. + expect(screen.queryByRole("combobox")).not.toBeInTheDocument(); + expect(screen.getByText("Setup Provider")).toBeInTheDocument(); }); it("should render the model selector when options are available", () => { @@ -323,6 +331,80 @@ describe("ModelInputComponent", () => { expect(screen.getByTestId("model-provider-modal")).toBeInTheDocument(); }); }); + + it("keeps loading state until both providers and enabled-models refetches settle", async () => { + // The post-close refresh invalidates both ``useGetModelProviders`` AND + // ``useGetEnabledModels``. The component must wait for BOTH to finish + // before clearing the loading state — otherwise ``groupedOptions`` + // renders against a stale ``enabledModelsData`` cache and disabled + // models briefly leak back into the dropdown after the user closes + // the provider modal. + let providersFetching = true; + let enabledFetching = true; + + const mockedProviders = useGetModelProviders as jest.MockedFunction< + typeof useGetModelProviders + >; + const mockedEnabled = useGetEnabledModels as jest.MockedFunction< + typeof useGetEnabledModels + >; + + mockedProviders.mockImplementation( + () => + ({ + data: mockProvidersData, + isLoading: false, + isFetching: providersFetching, + }) as unknown as ReturnType, + ); + mockedEnabled.mockImplementation( + () => + ({ + data: { enabled_models: {} }, + isLoading: false, + isFetching: enabledFetching, + }) as unknown as ReturnType, + ); + + const user = userEvent.setup(); + const { rerenderWithProvider } = renderWithQueryClient( + , + ); + + // Open the dropdown then the provider manager dialog + const trigger = screen.getByRole("combobox"); + await user.click(trigger); + await waitFor(() => { + expect( + screen.getByTestId("manage-model-providers"), + ).toBeInTheDocument(); + }); + await user.click(screen.getByTestId("manage-model-providers")); + await waitFor(() => { + expect(screen.getByTestId("model-provider-modal")).toBeInTheDocument(); + }); + + // Close the modal — this sets isRefreshingAfterClose=true and the + // loading button replaces the dropdown. + await user.click(screen.getByTestId("close-provider-modal")); + await waitFor(() => { + expect(screen.getByText("Loading models")).toBeInTheDocument(); + }); + + // Providers refetch completes FIRST. With the fix, loading persists + // because the enabled-models refetch is still in flight. + providersFetching = false; + rerenderWithProvider(); + await new Promise((r) => setTimeout(r, 30)); + expect(screen.getByText("Loading models")).toBeInTheDocument(); + + // Enabled-models refetch completes. Loading state clears. + enabledFetching = false; + rerenderWithProvider(); + await waitFor(() => { + expect(screen.queryByText("Loading models")).not.toBeInTheDocument(); + }); + }); }); describe("Footer Buttons", () => { @@ -602,117 +684,88 @@ describe("ModelInputComponent", () => { expect(screen.getByRole("combobox")).not.toBeDisabled(); }); - it("keeps a saved value whose model isn't enabled locally and renders the Configure wrench", async () => { - // The backend's update_model_options_in_build_config injects the saved - // value into options tagged with `not_enabled_locally: true` whenever - // it isn't in the user's enabled list. The frontend must: - // 1. NOT auto-reset the saved value. - // 2. Keep the option visible/selectable in the dropdown. - // 3. Render the Configure wrench next to the trigger. - mockedUseGetEnabledModels.mockReturnValue({ - data: { - enabled_models: { - OpenAI: { "gpt-4": true, "gpt-3.5-turbo": true }, - }, - }, - isLoading: false, - }); - - const handleOnNewValue = jest.fn(); - const savedValue = [ - { - id: "ibm/granite-3", - name: "ibm/granite-3", - icon: "IBMWatsonx", - provider: "IBM watsonx.ai", - metadata: { not_enabled_locally: true }, - }, - ]; - // Backend-style options: the saved value is injected into options with - // the sticky flag so the client can render it. - const optionsWithSticky = [ - ...mockOptions, - { - id: "ibm/granite-3", - name: "ibm/granite-3", - icon: "IBMWatsonx", - provider: "IBM watsonx.ai", - metadata: { not_enabled_locally: true }, - }, - ]; - - renderWithQueryClient( - , - ); - - // Value must not be reset by the auto-select effect. - expect(handleOnNewValue).not.toHaveBeenCalled(); - - // Saved model remains visible in the trigger label. - await waitFor(() => { - expect(screen.getByText("ibm/granite-3")).toBeInTheDocument(); - }); - - // Configure wrench is rendered next to the trigger. - expect( - screen.getByTestId(`${defaultProps.id}-configure`), - ).toBeInTheDocument(); - }); - - it("opens the provider manager when the Configure wrench is clicked", async () => { + it("auto-selects an available model when the saved value is globally disabled", async () => { + // The user previously chose ibm/granite-3 but that provider's models + // are no longer enabled. Some other models (gpt-4) ARE enabled, so the + // component must drop the stale selection and align the stored value + // with the first available option rather than visually showing a model + // the dropdown doesn't contain. mockedUseGetEnabledModels.mockReturnValue({ data: { enabled_models: { OpenAI: { "gpt-4": true } } }, isLoading: false, }); + const handleOnNewValue = jest.fn(); const savedValue = [ { id: "ibm/granite-3", name: "ibm/granite-3", icon: "IBMWatsonx", provider: "IBM watsonx.ai", - metadata: { not_enabled_locally: true }, - }, - ]; - const optionsWithSticky = [ - ...mockOptions, - { - id: "ibm/granite-3", - name: "ibm/granite-3", - icon: "IBMWatsonx", - provider: "IBM watsonx.ai", - metadata: { not_enabled_locally: true }, + metadata: {}, }, ]; - const handleOnNewValue = jest.fn(); - const user = userEvent.setup(); renderWithQueryClient( , ); - const wrench = await screen.findByTestId(`${defaultProps.id}-configure`); - await user.click(wrench); - + // Auto-select fires because the saved name isn't in flatOptions. await waitFor(() => { - expect(screen.getByTestId("model-provider-modal")).toBeInTheDocument(); + expect(handleOnNewValue).toHaveBeenCalled(); }); - // Clicking the wrench must not mutate the saved value. - expect(handleOnNewValue).not.toHaveBeenCalled(); + const newValue = handleOnNewValue.mock.calls[0][0].value; + expect(newValue[0].name).toBe("gpt-4"); + + // The stale model name must NOT be rendered anywhere. + expect(screen.queryByText("ibm/granite-3")).not.toBeInTheDocument(); }); - it("does not render Configure when the selected model isn't flagged", () => { - // Baseline: a normal enabled model must not surface the wrench. + it("renders the Setup Provider CTA when a provider is configured but all its models are disabled", () => { + // OpenAI is configured (is_configured/is_enabled true on the provider) + // but every model is explicitly disabled in enabled_models. There's + // nothing for the user to pick from, so we must show the Setup + // Provider CTA — same UX as the never-configured case. + mockedUseGetModelProviders.mockReturnValue({ + data: [ + { + provider: "OpenAI", + is_enabled: true, + is_configured: true, + icon: "OpenAI", + models: [ + { model_name: "gpt-4", metadata: { model_type: "llm" } }, + { model_name: "gpt-3.5-turbo", metadata: { model_type: "llm" } }, + ], + }, + ], + isLoading: false, + }); + mockedUseGetEnabledModels.mockReturnValue({ + data: { + enabled_models: { + OpenAI: { "gpt-4": false, "gpt-3.5-turbo": false }, + }, + }, + isLoading: false, + }); + + renderWithQueryClient( + , + ); + + expect(screen.queryByRole("combobox")).not.toBeInTheDocument(); + expect(screen.getByText("Setup Provider")).toBeInTheDocument(); + }); + + it("never renders the Configure wrench affordance", () => { + // The sticky-default UX was removed: there's no per-trigger affordance + // for a disabled-but-saved model. The dropdown is the single source + // of truth. mockedUseGetEnabledModels.mockReturnValue({ data: { enabled_models: { OpenAI: { "gpt-4": true } } }, isLoading: false, diff --git a/src/frontend/src/components/core/parameterRenderComponent/components/modelInputComponent/index.tsx b/src/frontend/src/components/core/parameterRenderComponent/components/modelInputComponent/index.tsx index 9a3c4de061..b19be72281 100644 --- a/src/frontend/src/components/core/parameterRenderComponent/components/modelInputComponent/index.tsx +++ b/src/frontend/src/components/core/parameterRenderComponent/components/modelInputComponent/index.tsx @@ -80,10 +80,6 @@ export default function ModelInputComponent({ const { refreshAllModelInputs } = useRefreshModelInputs(); - // Ref to track if we've already processed the empty options state - // prevents infinite loop when no models are available - const hasProcessedEmptyRef = useRef(false); - const postTemplateValue = usePostTemplateValue({ parameterId: "model", nodeId: nodeId || "", @@ -113,17 +109,14 @@ export default function ModelInputComponent({ isLoading: isLoadingProviders, isFetching: isFetchingProviders, } = useGetModelProviders({}); - const { data: enabledModelsData, isLoading: isLoadingEnabledModels } = - useGetEnabledModels(); + const { + data: enabledModelsData, + isLoading: isLoadingEnabledModels, + isFetching: isFetchingEnabledModels, + } = useGetEnabledModels(); const isLoading = isLoadingProviders || isLoadingEnabledModels; - const hasEnabledProviders = useMemo(() => { - return providersData?.some( - (provider) => provider.is_enabled || provider.is_configured, - ); - }, [providersData]); - // Groups models by their provider name for sectioned display in dropdown. // Filters out models from disabled providers AND disabled models, then // augments with any enabled models from `providersData` that weren't in the @@ -137,20 +130,12 @@ export default function ModelInputComponent({ if (option.metadata?.is_disabled_provider) continue; const provider = option.provider || "Unknown"; - // Backend sticky-default: options tagged with `not_enabled_locally` are - // the user's saved selection injected into the options list by the - // unified-models build_config helper even though they aren't in the - // enabled list. They must always pass the client-side filter so the - // selection stays visible and selectable in the dropdown. - const isStickyNotEnabled = option.metadata?.not_enabled_locally === true; - - // Filter against client-side enabled models data. This is the source of - // truth for what the current user has enabled — stale `options` saved in - // an imported flow may include models from providers the current user - // hasn't enabled (e.g. WatsonX). When the provider is tracked in - // enabled_models, the model must be explicitly enabled (=== true); a - // `false` or missing entry means the model should be hidden. - if (!isStickyNotEnabled && enabledModelsData?.enabled_models) { + // Filter against client-side enabled models data. The user's + // current enabled list is the single source of truth: a model that + // isn't explicitly enabled (=== true) is hidden, even if it's the + // node's saved selection. There is no sticky-default carve-out — + // a globally-disabled model never appears in the dropdown. + if (enabledModelsData?.enabled_models) { const providerModels = enabledModelsData.enabled_models[provider]; if (providerModels && providerModels[option.name] !== true) { continue; @@ -216,33 +201,17 @@ export default function ModelInputComponent({ } } - // Zero-provider import fallback: if the user has no providers configured - // locally but an imported flow carries a saved model, inject that saved - // selection as the only dropdown entry so the trigger renders the model - // (with the Configure wrench) instead of the "Setup Provider" button. - // Without this, ``flatOptions`` would be empty and ``ModelTrigger`` would - // swap the dropdown for the setup CTA, visually losing the imported - // selection. - const hasAnyGrouped = Object.keys(grouped).length > 0; - const savedValue = value?.[0]; - if (!hasAnyGrouped && savedValue?.name) { - const providerName = savedValue.provider || "Unknown"; - grouped[providerName] = [ - { - ...(savedValue.id && { id: savedValue.id }), - name: savedValue.name, - icon: savedValue.icon || "Bot", - provider: providerName, - metadata: { - ...(savedValue.metadata ?? {}), - not_enabled_locally: true, - }, - } as ModelOption, - ]; - } - return grouped; - }, [options, enabledModelsData, providersData, modelType, value]); + }, [options, enabledModelsData, providersData, modelType]); + + // True iff at least one model of this component's type is enabled across + // any provider. Drives the Setup Provider CTA — a provider that is + // configured but has all its models disabled is treated the same as a + // provider that hasn't been configured yet. + const hasEnabledProviders = useMemo( + () => Object.values(groupedOptions).some((models) => models.length > 0), + [groupedOptions], + ); // Flattened array of all enabled options for efficient lookups by name const flatOptions = useMemo( @@ -250,9 +219,12 @@ export default function ModelInputComponent({ [groupedOptions], ); - // Derive the currently selected model from the value prop + // Derive the currently selected model from the value prop. If the saved + // value isn't in the current ``flatOptions`` (typically because the + // model was globally disabled), it's treated as if no model is selected + // — the trigger renders the first available option as the visual + // selection and the effect below realigns the stored ``value`` to match. const selectedModel = useMemo(() => { - // If we're in connection mode, show the connection option as selected if (isConnectionMode) { return { name: @@ -264,56 +236,26 @@ export default function ModelInputComponent({ } const currentName = value?.[0]?.name; - if (!currentName) { - // Logic to auto-select the first model if none is selected - // We only do this check if we have options available - if (flatOptions.length > 0 && !hasProcessedEmptyRef.current) { - // If we haven't processed empty state yet, we render the first one - return flatOptions[0]; - } - return null; - } - - const match = flatOptions.find((option) => option.name === currentName); - if (match) return match; - - // Saved name isn't in the filtered options list — typically because the - // flow was imported via drag-drop (no backend sticky-default round-trip) - // or because an outdated component was upgraded and the fresh template - // lacks the sticky-default metadata. Preserve the saved selection in the - // trigger so it doesn't visually "snap" to the user's first enabled - // model. The wrench affordance in the dropdown handles configuration. - const saved = value?.[0]; - if (saved) { - return { - ...(saved.id && { id: saved.id }), - name: saved.name, - icon: saved.icon || "Bot", - provider: saved.provider || "Unknown", - metadata: { - ...(saved.metadata ?? {}), - not_enabled_locally: true, - }, - } as SelectedModel; + if (currentName) { + const match = flatOptions.find((option) => option.name === currentName); + if (match) return match; } return flatOptions.length > 0 ? flatOptions[0] : null; }, [value, flatOptions, isConnectionMode, externalOptions]); + // Auto-select the first available option whenever the stored ``value`` + // doesn't point at a currently-available model — including the case + // where the previously-selected model was globally disabled. Without + // this, the trigger would visually show one model while the node's + // saved value pointed at a different (or removed) one. useEffect(() => { if (flatOptions.length === 0 || isConnectionMode) return; - if (hasProcessedEmptyRef.current) return; - const isEmpty = !value || value.length === 0; - // Sticky-default: if the component has a saved value, keep it as-is. The - // backend injects any selection that isn't in the user's enabled list - // back into `options` tagged with `not_enabled_locally`, so the saved - // value remains visible and runnable. Only auto-select the first option - // when there's no saved value at all. - if (!isEmpty) return; + const savedName = value?.[0]?.name; + if (savedName && flatOptions.some((o) => o.name === savedName)) return; const firstOption = flatOptions[0]; - // Construct the new value object const newValue = [ { ...(firstOption.id && { id: firstOption.id }), @@ -324,7 +266,6 @@ export default function ModelInputComponent({ }, ]; handleOnNewValue({ value: newValue }); - hasProcessedEmptyRef.current = true; }, [flatOptions, value, handleOnNewValue, isConnectionMode]); /** @@ -402,22 +343,27 @@ export default function ModelInputComponent({ setIsRefreshingAfterClose(true); }, []); - // Clear the refreshing indicator after the providers query completes a full - // refetch cycle (isFetchingProviders: false → true → false). We track whether - // we've seen the fetch start so we don't clear prematurely before the - // invalidation has even been triggered by refreshAllModelInputs. + // Clear the refreshing indicator only after BOTH the providers and the + // enabled-models queries have completed a full refetch cycle (isFetching: + // false → true → false). Watching only ``isFetchingProviders`` clears the + // loading state too early when the enabled-models refetch is slower, + // letting ``groupedOptions`` render against a stale ``enabledModelsData`` + // cache — disabled models would briefly leak back into the dropdown after + // the user closes the provider modal. We track whether we've seen the + // fetch start so we don't clear prematurely before the invalidation has + // even been triggered by refreshAllModelInputs. const hasSeenFetchStartRef = useRef(false); useEffect(() => { if (!isRefreshingAfterClose) { hasSeenFetchStartRef.current = false; return; } - if (isFetchingProviders) { + if (isFetchingProviders || isFetchingEnabledModels) { hasSeenFetchStartRef.current = true; } else if (hasSeenFetchStartRef.current) { setIsRefreshingAfterClose(false); } - }, [isRefreshingAfterClose, isFetchingProviders]); + }, [isRefreshingAfterClose, isFetchingProviders, isFetchingEnabledModels]); // Safety timeout: clear loading even if no refetch cycle is detected // (e.g. no model nodes on canvas, or the refresh was a no-op) @@ -521,49 +467,22 @@ export default function ModelInputComponent({ return
{renderLoadingButton()}
; } - // Show a small "Configure" wrench next to the trigger when the currently - // selected model was injected by the backend as a sticky default — i.e. - // the user's saved selection isn't in their current enabled_models list. - // Clicking it jumps straight to the provider manager so the user can - // enable the provider without losing their selection. - const showConfigureAffordance = - selectedModel?.metadata?.not_enabled_locally === true; - // Main render return ( <> -
-
- setOpenManageProvidersDialog(true)} - id={id} - refButton={refButton} - showEmptyState={showEmptyState} - /> -
- {showConfigureAffordance && ( - - )} -
+ setOpenManageProvidersDialog(true)} + id={id} + refButton={refButton} + showEmptyState={showEmptyState} + /> {renderPopoverContent()} diff --git a/src/frontend/src/modals/modelProviderModal/__tests__/useModelToggleQueue.test.tsx b/src/frontend/src/modals/modelProviderModal/__tests__/useModelToggleQueue.test.tsx new file mode 100644 index 0000000000..4ec26be191 --- /dev/null +++ b/src/frontend/src/modals/modelProviderModal/__tests__/useModelToggleQueue.test.tsx @@ -0,0 +1,452 @@ +import { renderHook } from "@testing-library/react"; +import { act } from "react"; +import { useGetEnabledModels } from "@/controllers/API/queries/models/use-get-enabled-models"; +import { useModelToggleQueue } from "../hooks/useModelToggleQueue"; + +// --------------------------------------------------------------------------- +// React Query — capture invocation order on the shared mock so the test can +// assert that ``cancelQueries`` is called BEFORE ``setQueryData`` whenever a +// user toggles a model. The two are wired to a single Jest mock function so +// their relative call order is preserved. +// --------------------------------------------------------------------------- +const recordedCalls: Array<{ method: string; args: unknown[] }> = []; + +const trackingQueryClient = { + cancelQueries: jest.fn((...args: unknown[]) => { + recordedCalls.push({ method: "cancelQueries", args }); + return Promise.resolve(); + }), + setQueryData: jest.fn((...args: unknown[]) => { + recordedCalls.push({ method: "setQueryData", args }); + const updater = args[1] as + | ((prev: unknown) => unknown) + | Record; + if (typeof updater === "function") { + updater({ enabled_models: { OpenAI: { "gpt-4": true } } }); + } + return undefined; + }), + getQueryData: jest.fn(() => ({ + enabled_models: { OpenAI: { "gpt-4": true } }, + })), + invalidateQueries: jest.fn((...args: unknown[]) => { + recordedCalls.push({ method: "invalidateQueries", args }); + return Promise.resolve(); + }), +}; + +jest.mock("@tanstack/react-query", () => ({ + useQueryClient: () => trackingQueryClient, +})); + +// The hook subscribes to ``useGetEnabledModels`` so the re-overlay effect can +// react when a refetch lands. The shared mock starts with the same baseline +// the trackingQueryClient holds. +jest.mock("@/controllers/API/queries/models/use-get-enabled-models", () => ({ + useGetEnabledModels: jest.fn(() => ({ + data: { enabled_models: { OpenAI: { "gpt-4": true } } }, + })), +})); + +// Mutation mock — tests can read the recorded payloads to assert that each +// flush sends ONLY the unsent slice, never re-sending an in-flight overlay, +// and can drive ``onError`` / ``onSettled`` via the captured callbacks. +const mutationCalls: Array<{ + updates: { provider: string; model_id: string; enabled: boolean }[]; +}> = []; +const mutationCallbacks: Array<{ + onError?: (error: unknown) => void; + onSettled?: () => void; +}> = []; + +jest.mock("@/controllers/API/queries/models/use-update-enabled-models", () => ({ + useUpdateEnabledModels: () => ({ + mutate: jest.fn((vars, callbacks) => { + mutationCalls.push(vars); + mutationCallbacks.push(callbacks); + }), + mutateAsync: jest.fn((vars) => { + mutationCalls.push(vars); + return Promise.resolve({ disabled_models: [] }); + }), + }), +})); + +// Debounce stub: capturing the pending function instead of running it +// synchronously lets each test pick when (or whether) the debounced flush +// fires. Tests that exercise the debounced path call ``runDebounced()``; +// tests that exercise the awaitable ``flushPendingChanges`` path don't, so +// ``unsentToggles`` is still populated when the explicit flush runs. +let pendingDebouncedFns: Array<() => void> = []; +const runDebounced = () => { + const fns = pendingDebouncedFns; + pendingDebouncedFns = []; + for (const fn of fns) fn(); +}; +jest.mock("@/hooks/use-debounce", () => ({ + useDebounce: (fn: (...args: unknown[]) => unknown) => { + const wrapped = (..._args: unknown[]) => { + pendingDebouncedFns.push(() => fn()); + }; + (wrapped as unknown as { cancel: () => void }).cancel = jest.fn(() => { + pendingDebouncedFns = []; + }); + return wrapped; + }, +})); + +const mockRefreshAllModelInputs = jest.fn(() => Promise.resolve()); +jest.mock("@/hooks/use-refresh-model-inputs", () => ({ + useRefreshModelInputs: () => ({ + refreshAllModelInputs: mockRefreshAllModelInputs, + }), +})); + +const mockSetErrorData = jest.fn(); +jest.mock("@/stores/alertStore", () => ({ + __esModule: true, + default: (selector: (state: unknown) => unknown) => + selector({ + setSuccessData: jest.fn(), + setErrorData: mockSetErrorData, + }), +})); + +describe("useModelToggleQueue", () => { + beforeEach(() => { + recordedCalls.length = 0; + mutationCalls.length = 0; + mutationCallbacks.length = 0; + pendingDebouncedFns = []; + trackingQueryClient.cancelQueries.mockClear(); + trackingQueryClient.setQueryData.mockClear(); + trackingQueryClient.getQueryData.mockClear(); + trackingQueryClient.invalidateQueries.mockClear(); + mockRefreshAllModelInputs.mockClear(); + mockSetErrorData.mockClear(); + }); + + describe("optimistic update", () => { + it("cancels in-flight useGetEnabledModels refetches before the optimistic cache update", () => { + const { result } = renderHook(() => + useModelToggleQueue({ providerName: "OpenAI" }), + ); + + act(() => { + result.current.handleModelToggle("gpt-4", false); + }); + + expect(trackingQueryClient.cancelQueries).toHaveBeenCalledWith({ + queryKey: ["useGetEnabledModels"], + }); + expect(trackingQueryClient.setQueryData).toHaveBeenCalledWith( + ["useGetEnabledModels"], + expect.any(Function), + ); + + const cancelIdx = recordedCalls.findIndex( + (call) => call.method === "cancelQueries", + ); + const setIdx = recordedCalls.findIndex( + (call) => call.method === "setQueryData", + ); + + expect(cancelIdx).toBeGreaterThanOrEqual(0); + expect(setIdx).toBeGreaterThanOrEqual(0); + expect(cancelIdx).toBeLessThan(setIdx); + }); + + it("no-ops when no provider is selected", () => { + const { result } = renderHook(() => + useModelToggleQueue({ providerName: null }), + ); + + act(() => { + result.current.handleModelToggle("gpt-4", false); + }); + + expect(trackingQueryClient.cancelQueries).not.toHaveBeenCalled(); + expect(trackingQueryClient.setQueryData).not.toHaveBeenCalled(); + }); + }); + + describe("re-overlay effect", () => { + it("re-applies the pending overlay when a refetch surfaces stale data", () => { + const mockedEnabled = useGetEnabledModels as jest.MockedFunction< + typeof useGetEnabledModels + >; + + // Initial render: gpt-4 enabled on the server. + mockedEnabled.mockReturnValue({ + data: { enabled_models: { OpenAI: { "gpt-4": true } } }, + } as unknown as ReturnType); + + const { result, rerender } = renderHook(() => + useModelToggleQueue({ providerName: "OpenAI" }), + ); + + // User toggles gpt-4 off — overlay now holds {gpt-4: false}. + act(() => { + result.current.handleModelToggle("gpt-4", false); + }); + expect(trackingQueryClient.setQueryData).toHaveBeenCalled(); + + // Drain the call log so the re-overlay can be detected specifically. + recordedCalls.length = 0; + trackingQueryClient.setQueryData.mockClear(); + + // Simulate a refetch that lands inside the debounce window: the cache + // reports the still-stale server state (gpt-4: true). + mockedEnabled.mockReturnValue({ + data: { enabled_models: { OpenAI: { "gpt-4": true } } }, + } as unknown as ReturnType); + rerender(); + + // The effect detects drift and re-applies the overlay. + expect(trackingQueryClient.setQueryData).toHaveBeenCalledWith( + ["useGetEnabledModels"], + expect.any(Function), + ); + + const updater = trackingQueryClient.setQueryData.mock.calls[0][1] as ( + old: unknown, + ) => unknown; + const result2 = updater({ + enabled_models: { OpenAI: { "gpt-4": true, "gpt-3.5-turbo": true } }, + }) as { enabled_models: { OpenAI: Record } }; + expect(result2.enabled_models.OpenAI["gpt-4"]).toBe(false); + expect(result2.enabled_models.OpenAI["gpt-3.5-turbo"]).toBe(true); + }); + + it("does not re-overlay when no toggles are pending", () => { + const mockedEnabled = useGetEnabledModels as jest.MockedFunction< + typeof useGetEnabledModels + >; + mockedEnabled.mockReturnValue({ + data: { enabled_models: { OpenAI: { "gpt-4": true } } }, + } as unknown as ReturnType); + + renderHook(() => useModelToggleQueue({ providerName: "OpenAI" })); + + // No toggle was performed — the mount effect must NOT call setQueryData. + expect(trackingQueryClient.setQueryData).not.toHaveBeenCalled(); + }); + }); + + describe("send buffer", () => { + it("does not resend in-flight toggles when a new toggle is flushed", () => { + const { result } = renderHook(() => + useModelToggleQueue({ providerName: "OpenAI" }), + ); + + // Toggle A → debounce schedules a flush; drive it to send mutation A. + act(() => { + result.current.handleModelToggle("gpt-4", false); + runDebounced(); + }); + expect(mutationCalls).toHaveLength(1); + expect(mutationCalls[0].updates).toEqual([ + { provider: "OpenAI", model_id: "gpt-4", enabled: false }, + ]); + + // Toggle B while A's mutation is still in flight (onSettled hasn't + // fired). The next flush MUST send ONLY B — re-sending A would be a + // duplicate request with non-deterministic ordering vs the original. + act(() => { + result.current.handleModelToggle("gpt-3.5-turbo", false); + runDebounced(); + }); + expect(mutationCalls).toHaveLength(2); + expect(mutationCalls[1].updates).toEqual([ + { provider: "OpenAI", model_id: "gpt-3.5-turbo", enabled: false }, + ]); + }); + + it("re-sends a model when the user re-toggles it after the previous flush fired", () => { + const { result } = renderHook(() => + useModelToggleQueue({ providerName: "OpenAI" }), + ); + + // Toggle A → false. Drive the debounce. + act(() => { + result.current.handleModelToggle("gpt-4", false); + runDebounced(); + }); + expect(mutationCalls).toHaveLength(1); + expect(mutationCalls[0].updates).toEqual([ + { provider: "OpenAI", model_id: "gpt-4", enabled: false }, + ]); + + // User re-toggles A → true before the first mutation settles. The + // re-toggle is a fresh intent and must be sent. + act(() => { + result.current.handleModelToggle("gpt-4", true); + runDebounced(); + }); + expect(mutationCalls).toHaveLength(2); + expect(mutationCalls[1].updates).toEqual([ + { provider: "OpenAI", model_id: "gpt-4", enabled: true }, + ]); + }); + }); + + describe("error path", () => { + it("rolls back to previousData when the toggle mutation fails", () => { + const { result } = renderHook(() => + useModelToggleQueue({ providerName: "OpenAI" }), + ); + + act(() => { + result.current.handleModelToggle("gpt-4", false); + runDebounced(); + }); + expect(mutationCallbacks).toHaveLength(1); + + // The first setQueryData is the optimistic update from handleModelToggle. + // The second will be the rollback we expect on error. + const setQueryDataCallsBefore = + trackingQueryClient.setQueryData.mock.calls.length; + + act(() => { + mutationCallbacks[0].onError?.(new Error("backend down")); + }); + + // Rollback restored ``previousData`` via setQueryData with the snapshot + // (NOT a function updater). + const newCalls = trackingQueryClient.setQueryData.mock.calls.slice( + setQueryDataCallsBefore, + ); + const rollbackCall = newCalls.find( + ([_, arg]) => typeof arg !== "function", + ); + expect(rollbackCall).toBeDefined(); + expect(rollbackCall?.[0]).toEqual(["useGetEnabledModels"]); + expect(rollbackCall?.[1]).toEqual({ + enabled_models: { OpenAI: { "gpt-4": true } }, + }); + + // User sees an error toast. + expect(mockSetErrorData).toHaveBeenCalledWith( + expect.objectContaining({ title: "Error updating model status" }), + ); + }); + + it("does not re-apply the overlay after a failed mutation drains it", () => { + // The drain-before-rollback ordering inside ``rollbackToggleBatch`` is + // load-bearing. Without it, the re-overlay effect (triggered by the + // setQueryData rollback) would re-apply the stale overlay onto the + // just-rolled-back cache and silently undo the rollback. + const mockedEnabled = useGetEnabledModels as jest.MockedFunction< + typeof useGetEnabledModels + >; + mockedEnabled.mockReturnValue({ + data: { enabled_models: { OpenAI: { "gpt-4": true } } }, + } as unknown as ReturnType); + + const { result, rerender } = renderHook(() => + useModelToggleQueue({ providerName: "OpenAI" }), + ); + + act(() => { + result.current.handleModelToggle("gpt-4", false); + runDebounced(); + }); + + // Mutation fails — overlay is drained, cache reverts. + act(() => { + mutationCallbacks[0].onError?.(new Error("backend down")); + }); + + // Subsequent refetch surfaces the (now-correct) server state. + trackingQueryClient.setQueryData.mockClear(); + mockedEnabled.mockReturnValue({ + data: { enabled_models: { OpenAI: { "gpt-4": true } } }, + } as unknown as ReturnType); + rerender(); + + // The re-overlay effect must NOT re-apply the failed toggle. The + // overlay has been drained, so there's nothing to re-apply. + expect(trackingQueryClient.setQueryData).not.toHaveBeenCalled(); + }); + + it("preserves a mid-flight re-toggle when the original mutation fails", () => { + // Scenario: user toggles A→false, then re-toggles A→true while the + // first mutation is in flight. The first mutation then fails. The + // user's latest intent (A=true) must survive — both in the overlay + // (so the re-overlay effect protects it) and in the unsent buffer + // (so the next flush sends it). + const { result } = renderHook(() => + useModelToggleQueue({ providerName: "OpenAI" }), + ); + + act(() => { + result.current.handleModelToggle("gpt-4", false); + runDebounced(); + }); + expect(mutationCalls).toHaveLength(1); + expect(mutationCalls[0].updates[0].enabled).toBe(false); + + // Re-toggle while first mutation is in flight. + act(() => { + result.current.handleModelToggle("gpt-4", true); + runDebounced(); + }); + expect(mutationCalls).toHaveLength(2); + expect(mutationCalls[1].updates[0].enabled).toBe(true); + + // First mutation (A=false) fails. ``clearSentOverlay`` must NOT drop + // the A entry from the overlay, because the current overlay value + // (true) doesn't match what we sent (false) — the user re-toggled. + // The second mutation's overlay entry stays protected. + mutationCalls.length = 0; + act(() => { + mutationCallbacks[0].onError?.(new Error("backend down")); + }); + + // Trigger a fresh flush by toggling another key — if the overlay had + // been cleared in error, this flush would NOT include any prior + // intent. We verify the overlay survived by re-toggling A back to + // its in-flight value: if the overlay still has A=true, this is a + // no-op intent that doesn't appear in unsent. If the overlay was + // cleared, this re-toggle would be a fresh intent. + // + // Simpler check: the second mutation (A=true) is still in flight + // and must complete cleanly. The user's last intent is preserved + // by the overlay until that second mutation settles. + expect(mutationCallbacks).toHaveLength(2); + act(() => { + mutationCallbacks[1].onSettled?.(); + }); + // No additional rollback calls happened — the second mutation's + // overlay entry was preserved through the first failure. + expect(mockSetErrorData).toHaveBeenCalledTimes(1); + }); + }); + + describe("flushPendingChanges", () => { + it("invalidates useGetEnabledModels on success without relying on the caller", async () => { + const { result } = renderHook(() => + useModelToggleQueue({ providerName: "OpenAI" }), + ); + + // Toggle but DON'T run the debounced flush — leave the entry in + // unsentToggles for the awaitable close handler to consume. + act(() => { + result.current.handleModelToggle("gpt-4", false); + }); + + await act(async () => { + await result.current.flushPendingChanges(); + }); + + // The async flush must invalidate the enabled-models cache itself — + // callers should not have to remember to invalidate downstream. + expect(trackingQueryClient.invalidateQueries).toHaveBeenCalledWith({ + queryKey: ["useGetEnabledModels"], + }); + expect(trackingQueryClient.invalidateQueries).toHaveBeenCalledWith({ + queryKey: ["useGetModelProviders"], + }); + }); + }); +}); diff --git a/src/frontend/src/modals/modelProviderModal/hooks/useModelToggleQueue.ts b/src/frontend/src/modals/modelProviderModal/hooks/useModelToggleQueue.ts new file mode 100644 index 0000000000..792f66ad4b --- /dev/null +++ b/src/frontend/src/modals/modelProviderModal/hooks/useModelToggleQueue.ts @@ -0,0 +1,292 @@ +import { useQueryClient } from "@tanstack/react-query"; +import { useCallback, useEffect, useRef } from "react"; +import { + EnabledModelsResponse, + useGetEnabledModels, +} from "@/controllers/API/queries/models/use-get-enabled-models"; +import { useUpdateEnabledModels } from "@/controllers/API/queries/models/use-update-enabled-models"; +import { useDebounce } from "@/hooks/use-debounce"; +import { useRefreshModelInputs } from "@/hooks/use-refresh-model-inputs"; +import useAlertStore from "@/stores/alertStore"; + +// Extracted from useProviderConfiguration.ts to keep the toggle-queue +// concerns (overlay buffer, unsent buffer, debounced flush, awaitable +// flush, re-overlay effect, optimistic cache management) in a single +// focused module. The parent hook now owns only variable CRUD and +// provider lifecycle — the two responsibilities no longer share a file. + +const getErrorMessage = (error: unknown): string | undefined => { + const e = error as { + response?: { data?: { detail?: string } }; + message?: string; + }; + return e?.response?.data?.detail || e?.message; +}; + +export interface UseModelToggleQueueOptions { + /** + * Provider whose models the user is toggling. ``null`` short-circuits all + * handlers — useful while the modal is still resolving the selection. + */ + providerName: string | null | undefined; +} + +export interface UseModelToggleQueueReturn { + handleModelToggle: (modelName: string, enabled: boolean) => void; + flushPendingChanges: () => Promise; +} + +interface ToggleBatch { + updates: { provider: string; model_id: string; enabled: boolean }[]; + previousData: EnabledModelsResponse | undefined; + togglesToSend: Record; +} + +/** + * Coordinated optimistic-update queue for model enable/disable toggles. + * + * Two refs back the queue, each with a single responsibility: + * + * - ``overlayToggles`` — the union of every toggle the user has made + * whose change has not yet been confirmed by the server. The + * re-overlay effect re-applies it whenever ``useGetEnabledModels`` + * emits new data, so any refetch which lands inside the debounce or + * in-flight-mutation window can't overwrite the optimistic cache + * with stale server state. Entries are drained per-key on + * ``onSettled``/``onError`` — but only when the entry still matches + * the value we sent (a user re-toggle mid-flight becomes a fresh + * intent and must survive the clear). + * + * - ``unsentToggles`` — the strict subset that has NOT been sent in a + * mutation yet (or was re-toggled since the last send). It's drained + * immediately at flush time so subsequent flushes don't resend the + * same payload — without this split, mutation A's in-flight overlay + * entries would be snapshotted into mutation B's payload, producing + * duplicate requests with non-deterministic success/failure ordering. + */ +export const useModelToggleQueue = ({ + providerName, +}: UseModelToggleQueueOptions): UseModelToggleQueueReturn => { + const queryClient = useQueryClient(); + const setErrorData = useAlertStore((state) => state.setErrorData); + const { mutate: updateEnabledModels, mutateAsync: updateEnabledModelsAsync } = + useUpdateEnabledModels({ retry: 0 }); + const { refreshAllModelInputs } = useRefreshModelInputs(); + const { data: enabledModelsData } = useGetEnabledModels(); + + const overlayToggles = useRef>({}); + const unsentToggles = useRef>({}); + const fallbackModelData = useRef( + undefined, + ); + + // After a mutation settles, remove its entries from the overlay — but + // only when the current overlay value still matches what we sent. A + // mismatch means the user re-toggled the same model mid-flight; that + // entry already sits in ``unsentToggles`` for the next flush and must + // not be dropped from the overlay until its own mutation settles. + const clearSentOverlay = useCallback((sent: Record) => { + for (const [key, value] of Object.entries(sent)) { + if (overlayToggles.current[key] === value) { + delete overlayToggles.current[key]; + } + } + if (Object.keys(overlayToggles.current).length === 0) { + fallbackModelData.current = undefined; + } + }, []); + + // Shared flush prelude: builds the mutation payload, snapshots the + // pre-toggle cache for rollback, and drains ``unsentToggles`` so a + // follow-up flush triggered by a new user toggle cannot resend what we + // just sent. Returns null when there's nothing to do so callers can + // bail symmetrically. + const buildAndConsumeToggleBatch = useCallback((): ToggleBatch | null => { + if (!providerName) return null; + + const togglesToSend = { ...unsentToggles.current }; + if (Object.keys(togglesToSend).length === 0) return null; + + const updates = Object.entries(togglesToSend).map( + ([modelName, enabled]) => ({ + provider: providerName, + model_id: modelName, + enabled, + }), + ); + + const previousData = fallbackModelData.current; + unsentToggles.current = {}; + + return { updates, previousData, togglesToSend }; + }, [providerName]); + + // Shared error-path: drain the overlay BEFORE restoring previousData so + // the re-overlay effect (triggered by setQueryData below) can't re-apply + // a stale overlay over the rollback we just performed. + const rollbackToggleBatch = useCallback( + ( + togglesToSend: Record, + previousData: EnabledModelsResponse | undefined, + error: unknown, + ) => { + clearSentOverlay(togglesToSend); + if (previousData) { + queryClient.setQueryData(["useGetEnabledModels"], previousData); + } + setErrorData({ + title: "Error updating model status", + list: [getErrorMessage(error) || "Failed to update model status"], + }); + }, + [clearSentOverlay, queryClient, setErrorData], + ); + + const flushModelToggles = useDebounce(() => { + const batch = buildAndConsumeToggleBatch(); + if (!batch) return; + const { updates, previousData, togglesToSend } = batch; + + updateEnabledModels( + { updates }, + { + onError: (error: unknown) => { + rollbackToggleBatch(togglesToSend, previousData, error); + }, + onSettled: () => { + clearSentOverlay(togglesToSend); + queryClient.invalidateQueries({ + queryKey: ["useGetEnabledModels"], + }); + queryClient.invalidateQueries({ + queryKey: ["useGetModelProviders"], + }); + refreshAllModelInputs({ silent: true }); + }, + }, + ); + }, 1000); + + const flushPendingChanges = useCallback(async () => { + // Cancel the pending debounce timer — we'll send the toggles directly + flushModelToggles.cancel(); + + const batch = buildAndConsumeToggleBatch(); + if (!batch) return; + const { updates, previousData, togglesToSend } = batch; + + try { + await updateEnabledModelsAsync({ updates }); + clearSentOverlay(togglesToSend); + // Invalidate the affected queries inline so callers don't need to + // bolt this on. The modal's onClose still triggers + // ``refreshAllModelInputs`` afterwards to repopulate per-node + // template options, but ``useGetEnabledModels`` consumers no longer + // depend on the caller for cache freshness. + queryClient.invalidateQueries({ queryKey: ["useGetEnabledModels"] }); + queryClient.invalidateQueries({ queryKey: ["useGetModelProviders"] }); + } catch (error: unknown) { + rollbackToggleBatch(togglesToSend, previousData, error); + } + }, [ + flushModelToggles, + buildAndConsumeToggleBatch, + updateEnabledModelsAsync, + clearSentOverlay, + rollbackToggleBatch, + queryClient, + ]); + + const handleModelToggle = useCallback( + (modelName: string, enabled: boolean) => { + if (!providerName) return; + + // Cancel any in-flight refetch of useGetEnabledModels so its (stale) + // result cannot overwrite the optimistic cache update below. The + // re-overlay effect handles refetches that start AFTER this point; + // ``cancelQueries`` covers the ones already in flight at click time. + void queryClient.cancelQueries({ queryKey: ["useGetEnabledModels"] }); + + if (Object.keys(overlayToggles.current).length === 0) { + fallbackModelData.current = + queryClient.getQueryData([ + "useGetEnabledModels", + ]); + } + + queryClient.setQueryData( + ["useGetEnabledModels"], + (old) => { + if (!old) return old; + return { + ...old, + enabled_models: { + ...old.enabled_models, + [providerName]: { + ...old.enabled_models[providerName], + [modelName]: enabled, + }, + }, + }; + }, + ); + + // Track in BOTH buffers: overlay for UI protection across refetches, + // unsent for the next flush's payload. + overlayToggles.current[modelName] = enabled; + unsentToggles.current[modelName] = enabled; + flushModelToggles(); + }, + [providerName, queryClient, flushModelToggles], + ); + + // Re-overlay effect — protects the pending-toggle window in its entirety, + // not just the instant of the click. Any refetch (window focus, remount, + // reconnect, or a stale-time expiry) that lands while ``overlayToggles`` + // has entries will surface the server's pre-toggle state into + // ``enabledModelsData``; this effect detects the drift and re-applies the + // pending overlay so the Switch tracks the user's intent through the + // entire debounce + in-flight window. Once ``clearSentOverlay`` drains + // the entry on settle, the next data emission is a no-op. + useEffect(() => { + if (!providerName) return; + if (!enabledModelsData) return; + const overlay = overlayToggles.current; + if (Object.keys(overlay).length === 0) return; + + const current = enabledModelsData.enabled_models[providerName] ?? {}; + // Loop guard: the ``setQueryData`` below re-emits ``enabledModelsData`` + // and re-runs this effect; ``drifted`` must return false on the second + // pass for the recursion to terminate. Don't replace this with an + // unconditional re-apply — the second invocation finds the overlay + // already applied, ``current[model] === enabled`` for every entry, and + // bails. Any future refactor that removes the drift check must + // introduce an equivalent termination condition. + const drifted = Object.entries(overlay).some( + ([model, enabled]) => current[model] !== enabled, + ); + if (!drifted) return; + + queryClient.setQueryData( + ["useGetEnabledModels"], + (old) => { + if (!old) return old; + return { + ...old, + enabled_models: { + ...old.enabled_models, + [providerName]: { + ...(old.enabled_models[providerName] ?? {}), + ...overlay, + }, + }, + }; + }, + ); + }, [enabledModelsData, providerName, queryClient]); + + return { + handleModelToggle, + flushPendingChanges, + }; +}; diff --git a/src/frontend/src/modals/modelProviderModal/hooks/useProviderConfiguration.ts b/src/frontend/src/modals/modelProviderModal/hooks/useProviderConfiguration.ts index fd7cde9dfe..98f9c59a66 100644 --- a/src/frontend/src/modals/modelProviderModal/hooks/useProviderConfiguration.ts +++ b/src/frontend/src/modals/modelProviderModal/hooks/useProviderConfiguration.ts @@ -5,10 +5,8 @@ import { ProviderVariable, VARIABLE_CATEGORY, } from "@/constants/providerConstants"; -import { EnabledModelsResponse } from "@/controllers/API/queries/models/use-get-enabled-models"; import { useGetModelProviders } from "@/controllers/API/queries/models/use-get-model-providers"; import { useGetProviderVariables } from "@/controllers/API/queries/models/use-get-provider-variables"; -import { useUpdateEnabledModels } from "@/controllers/API/queries/models/use-update-enabled-models"; import { useValidateProvider } from "@/controllers/API/queries/models/use-validate-provider"; import { useDeleteGlobalVariables, @@ -16,14 +14,25 @@ import { usePatchGlobalVariables, usePostGlobalVariables, } from "@/controllers/API/queries/variables"; -import { useDebounce } from "@/hooks/use-debounce"; import { useRefreshModelInputs } from "@/hooks/use-refresh-model-inputs"; import useAlertStore from "@/stores/alertStore"; import { Provider } from "../components/types"; +import { useModelToggleQueue } from "./useModelToggleQueue"; // Masked value shown for configured secret fields const MASKED_VALUE = "••••••••"; +// Extract a user-facing message from an error caught from an API call. +// Handles Axios-shaped errors (``response.data.detail``) and standard +// ``Error.message`` without resorting to ``any``. +const getErrorMessage = (error: unknown): string | undefined => { + const e = error as { + response?: { data?: { detail?: string } }; + message?: string; + }; + return e?.response?.data?.detail || e?.message; +}; + interface UseProviderConfigurationOptions { selectedProvider: Provider | null; } @@ -100,8 +109,6 @@ export const useProviderConfiguration = ({ const { data: globalVariables = [] } = useGetGlobalVariables(); const { mutateAsync: validateProvider } = useValidateProvider(); const { data: providerVariablesMapping = {} } = useGetProviderVariables(); - const { mutate: updateEnabledModels, mutateAsync: updateEnabledModelsAsync } = - useUpdateEnabledModels({ retry: 0 }); const { refreshAllModelInputs } = useRefreshModelInputs(); const { data: modelProviders = [], isFetching: isFetchingModels } = useGetModelProviders( @@ -342,7 +349,7 @@ export const useProviderConfiguration = ({ setValidationError(result.error || "Validation failed"); return false; } - } catch (error: any) { + } catch (error: unknown) { // Ensure minimum 500ms duration even on error const elapsedTime = Date.now() - startTime; if (elapsedTime < 500) { @@ -350,7 +357,7 @@ export const useProviderConfiguration = ({ } setValidationState("invalid"); - setValidationError(error?.message || "Validation failed"); + setValidationError(getErrorMessage(error) || "Validation failed"); return false; } }, [selectedProvider, getVariablesForValidation, validateProvider]); @@ -420,12 +427,12 @@ export const useProviderConfiguration = ({ setIsFetchingAfterSave(true); clearValuesAfterFetchRef.current = true; invalidateProviderQueries(); - } catch (error: any) { + } catch (error: unknown) { setValidationFailed(true); setErrorData({ title: "Error Saving Configuration", list: [ - error?.response?.data?.detail || + getErrorMessage(error) || "An unexpected error occurred. Please try again.", ], }); @@ -488,11 +495,11 @@ export const useProviderConfiguration = ({ setSuccessData({ title: `${syncedSelectedProvider.provider} Activated` }); invalidateProviderQueries(); - } catch (error: any) { + } catch (error: unknown) { setErrorData({ title: "Error Activating Provider", list: [ - error?.response?.data?.detail || + getErrorMessage(error) || "An unexpected error occurred. Please try again.", ], }); @@ -529,11 +536,11 @@ export const useProviderConfiguration = ({ }); setIsFetchingAfterDisconnect(true); invalidateProviderQueries(); - } catch (error: any) { + } catch (error: unknown) { setErrorData({ title: "Error Disconnecting Provider", list: [ - error?.response?.data?.detail || + getErrorMessage(error) || "An unexpected error occurred. Please try again.", ], }); @@ -547,144 +554,14 @@ export const useProviderConfiguration = ({ invalidateProviderQueries, ]); - const pendingModelToggles = useRef>({}); - const fallbackModelData = useRef( - undefined, - ); - - const flushModelToggles = useDebounce(() => { - if (!syncedSelectedProvider?.provider) return; - const providerName = syncedSelectedProvider.provider; - - const updates = Object.entries(pendingModelToggles.current).map( - ([modelName, enabled]) => ({ - provider: providerName, - model_id: modelName, - enabled, - }), - ); - - if (updates.length === 0) return; - - // Capture the fallback data - const previousData = fallbackModelData.current; - - // Clear buffer - pendingModelToggles.current = {}; - fallbackModelData.current = undefined; - - updateEnabledModels( - { updates }, - { - onError: (error: any) => { - if (previousData) { - queryClient.setQueryData(["useGetEnabledModels"], previousData); - } - const errorMessage = - error?.response?.data?.detail || - error?.message || - "Failed to update model status"; - setErrorData({ - title: "Error updating model status", - list: [errorMessage], - }); - }, - onSettled: () => { - queryClient.invalidateQueries({ - queryKey: ["useGetEnabledModels"], - }); - queryClient.invalidateQueries({ - queryKey: ["useGetModelProviders"], - }); - refreshAllModelInputs({ silent: true }); - }, - }, - ); - }, 1000); - - const flushPendingChanges = useCallback(async () => { - // Cancel the pending debounce timer — we'll send the toggles directly - flushModelToggles.cancel(); - - if (!syncedSelectedProvider?.provider) return; - const providerName = syncedSelectedProvider.provider; - - const toggles = { ...pendingModelToggles.current }; - if (Object.keys(toggles).length === 0) return; - - const updates = Object.entries(toggles).map(([modelName, enabled]) => ({ - provider: providerName, - model_id: modelName, - enabled, - })); - - const previousData = fallbackModelData.current; - - // Clear buffer - pendingModelToggles.current = {}; - fallbackModelData.current = undefined; - - try { - await updateEnabledModelsAsync({ updates }); - // Mutation succeeded — query invalidation is handled by - // refreshAllModelInputs which runs after this promise resolves. - } catch (error: any) { - // Revert optimistic update on failure - if (previousData) { - queryClient.setQueryData(["useGetEnabledModels"], previousData); - } - const errorMessage = - error?.response?.data?.detail || - error?.message || - "Failed to update model status"; - setErrorData({ - title: "Error updating model status", - list: [errorMessage], - }); - } - }, [ - flushModelToggles, - syncedSelectedProvider, - queryClient, - updateEnabledModelsAsync, - setErrorData, - ]); - - const handleModelToggle = useCallback( - (modelName: string, enabled: boolean) => { - if (!syncedSelectedProvider?.provider) return; - - const providerName = syncedSelectedProvider.provider; - - if (Object.keys(pendingModelToggles.current).length === 0) { - fallbackModelData.current = - queryClient.getQueryData([ - "useGetEnabledModels", - ]); - } - - queryClient.setQueryData( - ["useGetEnabledModels"], - (old) => { - if (!old) return old; - return { - ...old, - enabled_models: { - ...old.enabled_models, - [providerName]: { - ...old.enabled_models[providerName], - [modelName]: enabled, - }, - }, - }; - }, - ); - - pendingModelToggles.current[modelName] = enabled; - flushModelToggles(); - }, - [syncedSelectedProvider, queryClient, flushModelToggles], - ); + // Model-toggle queue — overlay buffer, unsent buffer, debounced flush, + // awaitable close-time flush, re-overlay effect. Extracted into its own + // hook so this file stays focused on variable CRUD + provider lifecycle. + // See ``useModelToggleQueue`` for the full design rationale (split + // buffers, drain-before-rollback ordering, re-overlay loop guard). + const { handleModelToggle, flushPendingChanges } = useModelToggleQueue({ + providerName: syncedSelectedProvider?.provider, + }); return { variableValues, diff --git a/src/lfx/docker/Dockerfile b/src/lfx/docker/Dockerfile index 8c33ae89e6..6744e48682 100644 --- a/src/lfx/docker/Dockerfile +++ b/src/lfx/docker/Dockerfile @@ -7,7 +7,7 @@ ################################ # Use an Alpine-based Python image with uv pre-installed -FROM ghcr.io/astral-sh/uv:python3.12-alpine AS builder +FROM ghcr.io/astral-sh/uv:python3.14-alpine AS builder # Install build dependencies needed for some Python packages on Alpine RUN apk add --no-cache build-base libaio-dev linux-headers @@ -47,7 +47,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \ # RUNTIME # Setup user, utilities and copy the virtual environment only ################################ -FROM python:3.12-alpine AS runtime +FROM python:3.14-alpine AS runtime # Create a non-root user # -D: Don't assign a password diff --git a/src/lfx/pyproject.toml b/src/lfx/pyproject.toml index de890a186d..1520a970cf 100644 --- a/src/lfx/pyproject.toml +++ b/src/lfx/pyproject.toml @@ -1,12 +1,12 @@ [project] name = "lfx" -version = "0.4.2" +version = "0.4.3" description = "Langflow Executor - A lightweight CLI tool for executing and serving Langflow AI flows" readme = "README.md" authors = [ { name = "Gabriel Luiz Freitas Almeida", email = "gabriel@langflow.org" } ] -requires-python = ">=3.10,<3.14" +requires-python = ">=3.10,<3.15" dependencies = [ "langchain-core>=1.2.28,<2.0.0", "pandas>=2.0.0,<3.0.0", @@ -39,7 +39,7 @@ dependencies = [ "structlog>=25.4.0,<26.0.0", "loguru>=0.7.3,<1.0.0", "langchain~=1.2.0", - "langchain-classic~=1.0.0", + "langchain-classic~=1.0.7", "validators>=0.34.0,<1.0.0", "filelock>=3.20.1,<4.0.0", "pypdf>=6.10.0,<7.0.0", @@ -88,7 +88,7 @@ dev = [ "blockbuster>=1.5.25", "coverage>=7.9.2", "hypothesis>=6.136.3", - "pytest>=8.4.1", + "pytest>=9.0.3", "pytest-asyncio>=0.26.0", "pytest-cov>=7.0.0", "ruff>=0.9.10", diff --git a/src/lfx/src/lfx/_assets/component_index.json b/src/lfx/src/lfx/_assets/component_index.json index d85ba87cd6..fcca0426f0 100644 --- a/src/lfx/src/lfx/_assets/component_index.json +++ b/src/lfx/src/lfx/_assets/component_index.json @@ -3253,7 +3253,7 @@ }, { "name": "openai", - "version": "2.32.0" + "version": "2.33.0" } ], "total_dependencies": 5 @@ -54090,7 +54090,7 @@ }, { "name": "couchbase", - "version": "4.6.0" + "version": "4.6.1" } ], "total_dependencies": 3 @@ -56895,7 +56895,7 @@ "icon": "Globe", "legacy": false, "metadata": { - "code_hash": "2af407885294", + "code_hash": "4f329dec9a39", "dependencies": { "dependencies": [ { @@ -56997,7 +56997,7 @@ "show": true, "title_case": false, "type": "code", - "value": "import json\nimport re\nimport tempfile\nfrom datetime import datetime, timezone\nfrom pathlib import Path\nfrom typing import Any\nfrom urllib.parse import parse_qsl, urlencode, urlparse, urlunparse\n\nimport aiofiles\nimport aiofiles.os as aiofiles_os\nimport httpx\nimport validators\n\nfrom lfx.base.curl.parse import parse_context\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import TabInput\nfrom lfx.io import (\n BoolInput,\n DataInput,\n DropdownInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n Output,\n TableInput,\n)\nfrom lfx.schema.data import Data\nfrom lfx.schema.dotdict import dotdict\nfrom lfx.utils.component_utils import set_current_fields, set_field_advanced, set_field_display\nfrom lfx.utils.ssrf_protection import SSRFProtectionError, validate_url_for_ssrf\n\n# Define fields for each mode\nMODE_FIELDS = {\n \"URL\": [\n \"url_input\",\n \"method\",\n ],\n \"cURL\": [\"curl_input\"],\n}\n\n# Fields that should always be visible\nDEFAULT_FIELDS = [\"mode\"]\n\n\nclass APIRequestComponent(Component):\n display_name = \"API Request\"\n description = \"Make HTTP requests using URL or cURL commands.\"\n documentation: str = \"https://docs.langflow.org/api-request\"\n icon = \"Globe\"\n name = \"APIRequest\"\n\n inputs = [\n MessageTextInput(\n name=\"url_input\",\n display_name=\"URL\",\n info=\"Enter the URL for the request.\",\n advanced=False,\n tool_mode=True,\n ),\n MultilineInput(\n name=\"curl_input\",\n display_name=\"cURL\",\n info=(\n \"Paste a curl command to populate the fields. \"\n \"This will fill in the dictionary fields for headers and body.\"\n ),\n real_time_refresh=True,\n tool_mode=True,\n advanced=True,\n show=False,\n ),\n DropdownInput(\n name=\"method\",\n display_name=\"Method\",\n options=[\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"],\n value=\"GET\",\n info=\"The HTTP method to use.\",\n real_time_refresh=True,\n ),\n TabInput(\n name=\"mode\",\n display_name=\"Mode\",\n options=[\"URL\", \"cURL\"],\n value=\"URL\",\n info=\"Enable cURL mode to populate fields from a cURL command.\",\n real_time_refresh=True,\n ),\n DataInput(\n name=\"query_params\",\n display_name=\"Query Parameters\",\n info=\"The query parameters to append to the URL.\",\n advanced=True,\n ),\n TableInput(\n name=\"body\",\n display_name=\"Body\",\n info=\"The body to send with the request as a dictionary (for POST, PATCH, PUT).\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Key\",\n \"type\": \"str\",\n \"description\": \"Parameter name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"description\": \"Parameter value\",\n },\n ],\n value=[],\n input_types=[\"Data\", \"JSON\"],\n advanced=True,\n real_time_refresh=True,\n ),\n TableInput(\n name=\"headers\",\n display_name=\"Headers\",\n info=\"The headers to send with the request\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Header\",\n \"type\": \"str\",\n \"description\": \"Header name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"type\": \"str\",\n \"description\": \"Header value\",\n },\n ],\n value=[{\"key\": \"User-Agent\", \"value\": \"Langflow/1.0\"}],\n advanced=True,\n input_types=[\"Data\", \"JSON\"],\n real_time_refresh=True,\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n value=30,\n info=\"The timeout to use for the request.\",\n advanced=True,\n ),\n BoolInput(\n name=\"follow_redirects\",\n display_name=\"Follow Redirects\",\n value=False,\n info=(\n \"Whether to follow HTTP redirects. \"\n \"WARNING: Enabling redirects may allow SSRF bypass attacks where a public URL \"\n \"redirects to internal resources. Only enable if you trust the target server. \"\n \"See OWASP SSRF Prevention Cheat Sheet for details.\"\n ),\n advanced=True,\n ),\n BoolInput(\n name=\"save_to_file\",\n display_name=\"Save to File\",\n value=False,\n info=\"Save the API response to a temporary file\",\n advanced=True,\n ),\n BoolInput(\n name=\"include_httpx_metadata\",\n display_name=\"Include HTTPx Metadata\",\n value=False,\n info=(\n \"Include properties such as headers, status_code, response_headers, \"\n \"and redirection_history in the output.\"\n ),\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"API Response\", name=\"data\", method=\"make_api_request\"),\n ]\n\n def _parse_json_value(self, value: Any) -> Any:\n \"\"\"Parse a value that might be a JSON string.\"\"\"\n if not isinstance(value, str):\n return value\n\n try:\n parsed = json.loads(value)\n except json.JSONDecodeError:\n return value\n else:\n return parsed\n\n def _process_body(self, body: Any) -> dict:\n \"\"\"Process the body input into a valid dictionary.\"\"\"\n if body is None:\n return {}\n if hasattr(body, \"data\"):\n body = body.data\n if isinstance(body, dict):\n return self._process_dict_body(body)\n if isinstance(body, str):\n return self._process_string_body(body)\n if isinstance(body, list):\n return self._process_list_body(body)\n return {}\n\n def _process_dict_body(self, body: dict) -> dict:\n \"\"\"Process dictionary body by parsing JSON values.\"\"\"\n return {k: self._parse_json_value(v) for k, v in body.items()}\n\n def _process_string_body(self, body: str) -> dict:\n \"\"\"Process string body by attempting JSON parse.\"\"\"\n try:\n return self._process_body(json.loads(body))\n except json.JSONDecodeError:\n return {\"data\": body}\n\n def _process_list_body(self, body: list) -> dict:\n \"\"\"Process list body by converting to key-value dictionary.\"\"\"\n processed_dict = {}\n try:\n for item in body:\n # Unwrap Data objects\n current_item = item\n if hasattr(item, \"data\"):\n unwrapped_data = item.data\n # If the unwrapped data is a dict but not key-value format, use it directly\n if isinstance(unwrapped_data, dict) and not self._is_valid_key_value_item(unwrapped_data):\n return unwrapped_data\n current_item = unwrapped_data\n if not self._is_valid_key_value_item(current_item):\n continue\n key = current_item[\"key\"]\n value = self._parse_json_value(current_item[\"value\"])\n processed_dict[key] = value\n except (KeyError, TypeError, ValueError) as e:\n self.log(f\"Failed to process body list: {e}\")\n return {}\n return processed_dict\n\n def _is_valid_key_value_item(self, item: Any) -> bool:\n \"\"\"Check if an item is a valid key-value dictionary.\"\"\"\n return isinstance(item, dict) and \"key\" in item and \"value\" in item\n\n def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:\n \"\"\"Parse a cURL command and update build configuration.\"\"\"\n try:\n parsed = parse_context(curl)\n\n # Update basic configuration\n url = parsed.url\n # Normalize URL before setting it\n url = self._normalize_url(url)\n\n build_config[\"url_input\"][\"value\"] = url\n build_config[\"method\"][\"value\"] = parsed.method.upper()\n\n # Process headers\n headers_list = [{\"key\": k, \"value\": v} for k, v in parsed.headers.items()]\n build_config[\"headers\"][\"value\"] = headers_list\n\n # Process body data\n if not parsed.data:\n build_config[\"body\"][\"value\"] = []\n elif parsed.data:\n try:\n json_data = json.loads(parsed.data)\n if isinstance(json_data, dict):\n body_list = [\n {\"key\": k, \"value\": json.dumps(v) if isinstance(v, dict | list) else str(v)}\n for k, v in json_data.items()\n ]\n build_config[\"body\"][\"value\"] = body_list\n else:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": json.dumps(json_data)}]\n except json.JSONDecodeError:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": parsed.data}]\n\n except Exception as exc:\n msg = f\"Error parsing curl: {exc}\"\n self.log(msg)\n raise ValueError(msg) from exc\n\n return build_config\n\n def _normalize_url(self, url: str) -> str:\n \"\"\"Normalize URL by adding https:// if no protocol is specified.\"\"\"\n if not url or not isinstance(url, str):\n msg = \"URL cannot be empty\"\n raise ValueError(msg)\n\n url = url.strip()\n if url.startswith((\"http://\", \"https://\")):\n return url\n return f\"https://{url}\"\n\n async def make_request(\n self,\n client: httpx.AsyncClient,\n method: str,\n url: str,\n headers: dict | None = None,\n body: Any = None,\n timeout: int = 5,\n *,\n follow_redirects: bool = True,\n save_to_file: bool = False,\n include_httpx_metadata: bool = False,\n ) -> Data:\n method = method.upper()\n if method not in {\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"}:\n msg = f\"Unsupported method: {method}\"\n raise ValueError(msg)\n\n processed_body = self._process_body(body)\n redirection_history = []\n\n try:\n # Prepare request parameters\n request_params = {\n \"method\": method,\n \"url\": url,\n \"headers\": headers,\n \"timeout\": timeout,\n \"follow_redirects\": follow_redirects,\n }\n # Only include body for methods that support it (GET must not have a body per HTTP spec)\n if method in {\"POST\", \"PATCH\", \"PUT\", \"DELETE\"} and processed_body is not None:\n request_params[\"json\"] = processed_body\n response = await client.request(**request_params)\n\n redirection_history = [\n {\n \"url\": redirect.headers.get(\"Location\", str(redirect.url)),\n \"status_code\": redirect.status_code,\n }\n for redirect in response.history\n ]\n\n is_binary, file_path = await self._response_info(response, with_file_path=save_to_file)\n response_headers = self._headers_to_dict(response.headers)\n\n # Base metadata\n metadata = {\n \"source\": url,\n \"status_code\": response.status_code,\n \"response_headers\": response_headers,\n }\n\n if redirection_history:\n metadata[\"redirection_history\"] = redirection_history\n\n if save_to_file:\n mode = \"wb\" if is_binary else \"w\"\n encoding = response.encoding if mode == \"w\" else None\n if file_path:\n await aiofiles_os.makedirs(file_path.parent, exist_ok=True)\n if is_binary:\n async with aiofiles.open(file_path, \"wb\") as f:\n await f.write(response.content)\n await f.flush()\n else:\n async with aiofiles.open(file_path, \"w\", encoding=encoding) as f:\n await f.write(response.text)\n await f.flush()\n metadata[\"file_path\"] = str(file_path)\n\n if include_httpx_metadata:\n metadata.update({\"headers\": headers})\n return Data(data=metadata)\n\n # Handle response content\n if is_binary:\n result = response.content\n else:\n try:\n result = response.json()\n except json.JSONDecodeError:\n self.log(\"Failed to decode JSON response\")\n result = response.text.encode(\"utf-8\")\n\n metadata[\"result\"] = result\n\n if include_httpx_metadata:\n metadata.update({\"headers\": headers})\n\n return Data(data=metadata)\n except (httpx.HTTPError, httpx.RequestError, httpx.TimeoutException) as exc:\n self.log(f\"Error making request to {url}\")\n return Data(\n data={\n \"source\": url,\n \"headers\": headers,\n \"status_code\": 500,\n \"error\": str(exc),\n **({\"redirection_history\": redirection_history} if redirection_history else {}),\n },\n )\n\n def add_query_params(self, url: str, params: dict) -> str:\n \"\"\"Add query parameters to URL efficiently.\"\"\"\n if not params:\n return url\n url_parts = list(urlparse(url))\n query = dict(parse_qsl(url_parts[4]))\n query.update(params)\n url_parts[4] = urlencode(query)\n return urlunparse(url_parts)\n\n def _headers_to_dict(self, headers: httpx.Headers) -> dict[str, str]:\n \"\"\"Convert HTTP headers to a dictionary with lowercased keys.\"\"\"\n return {k.lower(): v for k, v in headers.items()}\n\n def _process_headers(self, headers: Any) -> dict:\n \"\"\"Process the headers input into a valid dictionary.\"\"\"\n if headers is None:\n return {}\n if isinstance(headers, dict):\n return headers\n if isinstance(headers, list):\n return {item[\"key\"]: item[\"value\"] for item in headers if self._is_valid_key_value_item(item)}\n return {}\n\n async def make_api_request(self) -> Data:\n \"\"\"Make HTTP request with optimized parameter handling.\"\"\"\n method = self.method\n url = self.url_input.strip() if isinstance(self.url_input, str) else \"\"\n headers = self.headers or {}\n body = self.body or {}\n timeout = self.timeout\n follow_redirects = self.follow_redirects\n save_to_file = self.save_to_file\n include_httpx_metadata = self.include_httpx_metadata\n\n # Security warning when redirects are enabled\n if follow_redirects:\n self.log(\n \"Security Warning: HTTP redirects are enabled. This may allow SSRF bypass attacks \"\n \"where a public URL redirects to internal resources (e.g., cloud metadata endpoints). \"\n \"Only enable this if you trust the target server.\"\n )\n\n # if self.mode == \"cURL\" and self.curl_input:\n # self._build_config = self.parse_curl(self.curl_input, dotdict())\n # # After parsing curl, get the normalized URL\n # url = self._build_config[\"url_input\"][\"value\"]\n\n # Normalize URL before validation\n url = self._normalize_url(url)\n\n # Validate URL\n if not validators.url(url):\n msg = f\"Invalid URL provided: {url}\"\n raise ValueError(msg)\n\n # SSRF Protection: Validate URL to prevent access to internal resources\n # TODO: In next major version (2.0), remove warn_only=True to enforce blocking\n try:\n validate_url_for_ssrf(url, warn_only=True)\n except SSRFProtectionError as e:\n # This will only raise if SSRF protection is enabled and warn_only=False\n msg = f\"SSRF Protection: {e}\"\n raise ValueError(msg) from e\n\n # Process query parameters\n if isinstance(self.query_params, str):\n query_params = dict(parse_qsl(self.query_params))\n else:\n query_params = self.query_params.data if self.query_params else {}\n\n # Process headers and body\n headers = self._process_headers(headers)\n body = self._process_body(body)\n url = self.add_query_params(url, query_params)\n\n async with httpx.AsyncClient() as client:\n result = await self.make_request(\n client,\n method,\n url,\n headers,\n body,\n timeout,\n follow_redirects=follow_redirects,\n save_to_file=save_to_file,\n include_httpx_metadata=include_httpx_metadata,\n )\n self.status = result\n return result\n\n def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None) -> dotdict:\n \"\"\"Update the build config based on the selected mode.\"\"\"\n if field_name != \"mode\":\n if field_name == \"curl_input\" and self.mode == \"cURL\" and self.curl_input:\n return self.parse_curl(self.curl_input, build_config)\n return build_config\n\n if field_value == \"cURL\":\n set_field_display(build_config, \"curl_input\", value=True)\n if build_config[\"curl_input\"][\"value\"]:\n try:\n build_config = self.parse_curl(build_config[\"curl_input\"][\"value\"], build_config)\n except ValueError as e:\n self.log(f\"Failed to parse cURL input: {e}\")\n else:\n set_field_display(build_config, \"curl_input\", value=False)\n\n return set_current_fields(\n build_config=build_config,\n action_fields=MODE_FIELDS,\n selected_action=field_value,\n default_fields=DEFAULT_FIELDS,\n func=set_field_advanced,\n default_value=True,\n )\n\n async def _response_info(\n self, response: httpx.Response, *, with_file_path: bool = False\n ) -> tuple[bool, Path | None]:\n \"\"\"Determine the file path and whether the response content is binary.\n\n Args:\n response (Response): The HTTP response object.\n with_file_path (bool): Whether to save the response content to a file.\n\n Returns:\n Tuple[bool, Path | None]:\n A tuple containing a boolean indicating if the content is binary and the full file path (if applicable).\n \"\"\"\n content_type = response.headers.get(\"Content-Type\", \"\")\n is_binary = \"application/octet-stream\" in content_type or \"application/binary\" in content_type\n\n if not with_file_path:\n return is_binary, None\n\n component_temp_dir = Path(tempfile.gettempdir()) / self.__class__.__name__\n\n # Create directory asynchronously\n await aiofiles_os.makedirs(component_temp_dir, exist_ok=True)\n\n filename = None\n if \"Content-Disposition\" in response.headers:\n content_disposition = response.headers[\"Content-Disposition\"]\n filename_match = re.search(r'filename=\"(.+?)\"', content_disposition)\n if filename_match:\n extracted_filename = filename_match.group(1)\n filename = extracted_filename\n\n # Step 3: Infer file extension or use part of the request URL if no filename\n if not filename:\n # Extract the last segment of the URL path\n url_path = urlparse(str(response.request.url) if response.request else \"\").path\n base_name = Path(url_path).name # Get the last segment of the path\n if not base_name: # If the path ends with a slash or is empty\n base_name = \"response\"\n\n # Infer file extension\n content_type_to_extension = {\n \"text/plain\": \".txt\",\n \"application/json\": \".json\",\n \"image/jpeg\": \".jpg\",\n \"image/png\": \".png\",\n \"application/octet-stream\": \".bin\",\n }\n extension = content_type_to_extension.get(content_type, \".bin\" if is_binary else \".txt\")\n filename = f\"{base_name}{extension}\"\n\n # Step 4: Define the full file path\n file_path = component_temp_dir / filename\n\n # Step 5: Check if file exists asynchronously and handle accordingly\n try:\n # Try to create the file exclusively (x mode) to check existence\n async with aiofiles.open(file_path, \"x\") as _:\n pass # File created successfully, we can use this path\n except FileExistsError:\n # If file exists, append a timestamp to the filename\n timestamp = datetime.now(timezone.utc).strftime(\"%Y%m%d%H%M%S%f\")\n file_path = component_temp_dir / f\"{timestamp}-{filename}\"\n\n return is_binary, file_path\n" + "value": "import json\nimport re\nimport tempfile\nfrom datetime import datetime, timezone\nfrom pathlib import Path\nfrom typing import Any\nfrom urllib.parse import parse_qsl, urlencode, urlparse, urlunparse\n\nimport aiofiles\nimport aiofiles.os as aiofiles_os\nimport httpx\nimport validators\n\nfrom lfx.base.curl.parse import parse_context\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import TabInput\nfrom lfx.io import (\n BoolInput,\n DataInput,\n DropdownInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n Output,\n TableInput,\n)\nfrom lfx.schema.data import Data\nfrom lfx.schema.dotdict import dotdict\nfrom lfx.utils.component_utils import set_current_fields, set_field_advanced, set_field_display\n\n# SSRF Protection imports - for preventing Server-Side Request Forgery attacks\nfrom lfx.utils.ssrf_protection import SSRFProtectionError, validate_and_resolve_url\nfrom lfx.utils.ssrf_transport import create_ssrf_protected_client\n\n# Define fields for each mode\nMODE_FIELDS = {\n \"URL\": [\n \"url_input\",\n \"method\",\n ],\n \"cURL\": [\"curl_input\"],\n}\n\n# Fields that should always be visible\nDEFAULT_FIELDS = [\"mode\"]\n\n\nclass APIRequestComponent(Component):\n display_name = \"API Request\"\n description = \"Make HTTP requests using URL or cURL commands.\"\n documentation: str = \"https://docs.langflow.org/api-request\"\n icon = \"Globe\"\n name = \"APIRequest\"\n\n inputs = [\n MessageTextInput(\n name=\"url_input\",\n display_name=\"URL\",\n info=\"Enter the URL for the request.\",\n advanced=False,\n tool_mode=True,\n ),\n MultilineInput(\n name=\"curl_input\",\n display_name=\"cURL\",\n info=(\n \"Paste a curl command to populate the fields. \"\n \"This will fill in the dictionary fields for headers and body.\"\n ),\n real_time_refresh=True,\n tool_mode=True,\n advanced=True,\n show=False,\n ),\n DropdownInput(\n name=\"method\",\n display_name=\"Method\",\n options=[\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"],\n value=\"GET\",\n info=\"The HTTP method to use.\",\n real_time_refresh=True,\n ),\n TabInput(\n name=\"mode\",\n display_name=\"Mode\",\n options=[\"URL\", \"cURL\"],\n value=\"URL\",\n info=\"Enable cURL mode to populate fields from a cURL command.\",\n real_time_refresh=True,\n ),\n DataInput(\n name=\"query_params\",\n display_name=\"Query Parameters\",\n info=\"The query parameters to append to the URL.\",\n advanced=True,\n ),\n TableInput(\n name=\"body\",\n display_name=\"Body\",\n info=\"The body to send with the request as a dictionary (for POST, PATCH, PUT).\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Key\",\n \"type\": \"str\",\n \"description\": \"Parameter name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"description\": \"Parameter value\",\n },\n ],\n value=[],\n input_types=[\"Data\", \"JSON\"],\n advanced=True,\n real_time_refresh=True,\n ),\n TableInput(\n name=\"headers\",\n display_name=\"Headers\",\n info=\"The headers to send with the request\",\n table_schema=[\n {\n \"name\": \"key\",\n \"display_name\": \"Header\",\n \"type\": \"str\",\n \"description\": \"Header name\",\n },\n {\n \"name\": \"value\",\n \"display_name\": \"Value\",\n \"type\": \"str\",\n \"description\": \"Header value\",\n },\n ],\n value=[{\"key\": \"User-Agent\", \"value\": \"Langflow/1.0\"}],\n advanced=True,\n input_types=[\"Data\", \"JSON\"],\n real_time_refresh=True,\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n value=30,\n info=\"The timeout to use for the request.\",\n advanced=True,\n ),\n BoolInput(\n name=\"follow_redirects\",\n display_name=\"Follow Redirects\",\n value=False,\n info=(\n \"Whether to follow HTTP redirects. \"\n \"WARNING: Enabling redirects may allow SSRF bypass attacks where a public URL \"\n \"redirects to internal resources. Only enable if you trust the target server. \"\n \"See OWASP SSRF Prevention Cheat Sheet for details.\"\n ),\n advanced=True,\n ),\n BoolInput(\n name=\"save_to_file\",\n display_name=\"Save to File\",\n value=False,\n info=\"Save the API response to a temporary file\",\n advanced=True,\n ),\n BoolInput(\n name=\"include_httpx_metadata\",\n display_name=\"Include HTTPx Metadata\",\n value=False,\n info=(\n \"Include properties such as headers, status_code, response_headers, \"\n \"and redirection_history in the output.\"\n ),\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"API Response\", name=\"data\", method=\"make_api_request\"),\n ]\n\n def _parse_json_value(self, value: Any) -> Any:\n \"\"\"Parse a value that might be a JSON string.\"\"\"\n if not isinstance(value, str):\n return value\n\n try:\n parsed = json.loads(value)\n except json.JSONDecodeError:\n return value\n else:\n return parsed\n\n def _process_body(self, body: Any) -> dict:\n \"\"\"Process the body input into a valid dictionary.\"\"\"\n if body is None:\n return {}\n if hasattr(body, \"data\"):\n body = body.data\n if isinstance(body, dict):\n return self._process_dict_body(body)\n if isinstance(body, str):\n return self._process_string_body(body)\n if isinstance(body, list):\n return self._process_list_body(body)\n return {}\n\n def _process_dict_body(self, body: dict) -> dict:\n \"\"\"Process dictionary body by parsing JSON values.\"\"\"\n return {k: self._parse_json_value(v) for k, v in body.items()}\n\n def _process_string_body(self, body: str) -> dict:\n \"\"\"Process string body by attempting JSON parse.\"\"\"\n try:\n return self._process_body(json.loads(body))\n except json.JSONDecodeError:\n return {\"data\": body}\n\n def _process_list_body(self, body: list) -> dict:\n \"\"\"Process list body by converting to key-value dictionary.\"\"\"\n processed_dict = {}\n try:\n for item in body:\n # Unwrap Data objects\n current_item = item\n if hasattr(item, \"data\"):\n unwrapped_data = item.data\n # If the unwrapped data is a dict but not key-value format, use it directly\n if isinstance(unwrapped_data, dict) and not self._is_valid_key_value_item(unwrapped_data):\n return unwrapped_data\n current_item = unwrapped_data\n if not self._is_valid_key_value_item(current_item):\n continue\n key = current_item[\"key\"]\n value = self._parse_json_value(current_item[\"value\"])\n processed_dict[key] = value\n except (KeyError, TypeError, ValueError) as e:\n self.log(f\"Failed to process body list: {e}\")\n return {}\n return processed_dict\n\n def _is_valid_key_value_item(self, item: Any) -> bool:\n \"\"\"Check if an item is a valid key-value dictionary.\"\"\"\n return isinstance(item, dict) and \"key\" in item and \"value\" in item\n\n def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:\n \"\"\"Parse a cURL command and update build configuration.\"\"\"\n try:\n parsed = parse_context(curl)\n\n # Update basic configuration\n url = parsed.url\n # Normalize URL before setting it\n url = self._normalize_url(url)\n\n build_config[\"url_input\"][\"value\"] = url\n build_config[\"method\"][\"value\"] = parsed.method.upper()\n\n # Process headers\n headers_list = [{\"key\": k, \"value\": v} for k, v in parsed.headers.items()]\n build_config[\"headers\"][\"value\"] = headers_list\n\n # Process body data\n if not parsed.data:\n build_config[\"body\"][\"value\"] = []\n elif parsed.data:\n try:\n json_data = json.loads(parsed.data)\n if isinstance(json_data, dict):\n body_list = [\n {\"key\": k, \"value\": json.dumps(v) if isinstance(v, dict | list) else str(v)}\n for k, v in json_data.items()\n ]\n build_config[\"body\"][\"value\"] = body_list\n else:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": json.dumps(json_data)}]\n except json.JSONDecodeError:\n build_config[\"body\"][\"value\"] = [{\"key\": \"data\", \"value\": parsed.data}]\n\n except Exception as exc:\n msg = f\"Error parsing curl: {exc}\"\n self.log(msg)\n raise ValueError(msg) from exc\n\n return build_config\n\n def _normalize_url(self, url: str) -> str:\n \"\"\"Normalize URL by adding https:// if no protocol is specified.\"\"\"\n if not url or not isinstance(url, str):\n msg = \"URL cannot be empty\"\n raise ValueError(msg)\n\n url = url.strip()\n if url.startswith((\"http://\", \"https://\")):\n return url\n return f\"https://{url}\"\n\n async def make_request(\n self,\n client: httpx.AsyncClient,\n method: str,\n url: str,\n headers: dict | None = None,\n body: Any = None,\n timeout: int = 5,\n *,\n follow_redirects: bool = True,\n save_to_file: bool = False,\n include_httpx_metadata: bool = False,\n ) -> Data:\n method = method.upper()\n if method not in {\"GET\", \"POST\", \"PATCH\", \"PUT\", \"DELETE\"}:\n msg = f\"Unsupported method: {method}\"\n raise ValueError(msg)\n\n processed_body = self._process_body(body)\n redirection_history = []\n\n try:\n # Prepare request parameters\n request_params = {\n \"method\": method,\n \"url\": url,\n \"headers\": headers,\n \"timeout\": timeout,\n \"follow_redirects\": follow_redirects,\n }\n # Only include body for methods that support it (GET must not have a body per HTTP spec)\n if method in {\"POST\", \"PATCH\", \"PUT\", \"DELETE\"} and processed_body is not None:\n request_params[\"json\"] = processed_body\n response = await client.request(**request_params)\n\n redirection_history = [\n {\n \"url\": redirect.headers.get(\"Location\", str(redirect.url)),\n \"status_code\": redirect.status_code,\n }\n for redirect in response.history\n ]\n\n is_binary, file_path = await self._response_info(response, with_file_path=save_to_file)\n response_headers = self._headers_to_dict(response.headers)\n\n # Base metadata\n metadata = {\n \"source\": url,\n \"status_code\": response.status_code,\n \"response_headers\": response_headers,\n }\n\n if redirection_history:\n metadata[\"redirection_history\"] = redirection_history\n\n if save_to_file:\n mode = \"wb\" if is_binary else \"w\"\n encoding = response.encoding if mode == \"w\" else None\n if file_path:\n await aiofiles_os.makedirs(file_path.parent, exist_ok=True)\n if is_binary:\n async with aiofiles.open(file_path, \"wb\") as f:\n await f.write(response.content)\n await f.flush()\n else:\n async with aiofiles.open(file_path, \"w\", encoding=encoding) as f:\n await f.write(response.text)\n await f.flush()\n metadata[\"file_path\"] = str(file_path)\n\n if include_httpx_metadata:\n metadata.update({\"headers\": headers})\n return Data(data=metadata)\n\n # Handle response content\n if is_binary:\n result = response.content\n else:\n try:\n result = response.json()\n except json.JSONDecodeError:\n self.log(\"Failed to decode JSON response\")\n result = response.text.encode(\"utf-8\")\n\n metadata[\"result\"] = result\n\n if include_httpx_metadata:\n metadata.update({\"headers\": headers})\n\n return Data(data=metadata)\n except (httpx.HTTPError, httpx.RequestError, httpx.TimeoutException) as exc:\n self.log(f\"Error making request to {url}\")\n return Data(\n data={\n \"source\": url,\n \"headers\": headers,\n \"status_code\": 500,\n \"error\": str(exc),\n **({\"redirection_history\": redirection_history} if redirection_history else {}),\n },\n )\n\n def add_query_params(self, url: str, params: dict) -> str:\n \"\"\"Add query parameters to URL efficiently.\"\"\"\n if not params:\n return url\n url_parts = list(urlparse(url))\n query = dict(parse_qsl(url_parts[4]))\n query.update(params)\n url_parts[4] = urlencode(query)\n return urlunparse(url_parts)\n\n def _headers_to_dict(self, headers: httpx.Headers) -> dict[str, str]:\n \"\"\"Convert HTTP headers to a dictionary with lowercased keys.\"\"\"\n return {k.lower(): v for k, v in headers.items()}\n\n def _process_headers(self, headers: Any) -> dict:\n \"\"\"Process the headers input into a valid dictionary.\"\"\"\n if headers is None:\n return {}\n if isinstance(headers, dict):\n return headers\n if isinstance(headers, list):\n return {item[\"key\"]: item[\"value\"] for item in headers if self._is_valid_key_value_item(item)}\n return {}\n\n async def make_api_request(self) -> Data:\n \"\"\"Make HTTP request with SSRF protection and DNS pinning.\n\n This method implements comprehensive SSRF (Server-Side Request Forgery) protection\n using DNS pinning to prevent DNS rebinding attacks. The protection works by:\n 1. Validating the URL and resolving DNS during security check\n 2. Pinning the validated IP address\n 3. Forcing the HTTP client to use the pinned IP for the actual request\n 4. Ignoring any subsequent DNS changes (prevents rebinding attacks)\n\n Returns:\n Data: Response data from the HTTP request\n\n Raises:\n ValueError: If URL is invalid or blocked by SSRF protection\n \"\"\"\n # Extract request parameters\n method = self.method\n url = self.url_input.strip() if isinstance(self.url_input, str) else \"\"\n headers = self.headers or {}\n body = self.body or {}\n timeout = self.timeout\n follow_redirects = self.follow_redirects\n save_to_file = self.save_to_file\n include_httpx_metadata = self.include_httpx_metadata\n\n # Security warning: HTTP redirects can bypass SSRF protection\n # A public URL could redirect to an internal resource\n if follow_redirects:\n self.log(\n \"Security Warning: HTTP redirects are enabled. This may allow SSRF bypass attacks \"\n \"where a public URL redirects to internal resources (e.g., cloud metadata endpoints). \"\n \"Only enable this if you trust the target server.\"\n )\n\n # Normalize URL (add https:// if no protocol specified)\n url = self._normalize_url(url)\n\n # Basic URL format validation\n if not validators.url(url):\n msg = f\"Invalid URL provided: {url}\"\n raise ValueError(msg)\n\n # ============================================================================\n # SSRF Protection with DNS Pinning\n # ============================================================================\n # This prevents DNS rebinding attacks by:\n # 1. Resolving DNS and validating IPs during security check\n # 2. Pinning the validated IP address\n # 3. Using a custom HTTP transport that forces use of the pinned IP\n # 4. Ignoring any new DNS resolutions (prevents rebinding)\n #\n # Without DNS pinning, an attacker could:\n # - First DNS lookup: returns public IP (passes validation)\n # - Second DNS lookup: returns internal IP (bypasses protection)\n # - Attack succeeds: accesses internal services\n #\n # With DNS pinning:\n # - First DNS lookup: returns public IP (passes validation)\n # - IP is pinned: \"example.com = 93.184.216.34\"\n # - HTTP request: uses pinned IP directly (no new DNS lookup)\n # - Attack fails: even if DNS changes, we use the validated IP\n # ============================================================================\n\n try:\n # Validate URL and get validated IPs for DNS pinning\n _validated_url, validated_ips = validate_and_resolve_url(url)\n\n # Log DNS pinning information for security auditing\n if validated_ips:\n self.log(f\"SSRF Protection: Using DNS pinning with {len(validated_ips)} validated IP(s)\")\n\n except SSRFProtectionError as e:\n # SSRF protection blocked the request (private IP, internal network, etc.)\n msg = f\"SSRF Protection: {e}\"\n raise ValueError(msg) from e\n\n # Process query parameters (from string or Data object)\n if isinstance(self.query_params, str):\n query_params = dict(parse_qsl(self.query_params))\n else:\n query_params = self.query_params.data if self.query_params else {}\n\n # Process headers and body into proper format\n headers = self._process_headers(headers)\n body = self._process_body(body)\n url = self.add_query_params(url, query_params)\n\n # ============================================================================\n # Create HTTP Client with DNS Pinning (if SSRF protection enabled)\n # ============================================================================\n from lfx.utils.ssrf_protection import is_ssrf_protection_enabled\n\n if is_ssrf_protection_enabled() and validated_ips:\n # SSRF protection is enabled and DNS pinning is needed\n # Extract hostname from the final URL (after query params added)\n hostname = urlparse(url).hostname\n\n if hostname:\n # Create client with DNS pinning to prevent rebinding attacks\n # The custom transport will try validated IPs in order (supports dual-stack/load balancing)\n # while preserving the Host header for virtual hosting/SNI\n async with create_ssrf_protected_client(\n hostname=hostname,\n validated_ips=validated_ips, # Pass all validated IPs\n ) as client:\n result = await self.make_request(\n client,\n method,\n url,\n headers,\n body,\n timeout,\n follow_redirects=follow_redirects,\n save_to_file=save_to_file,\n include_httpx_metadata=include_httpx_metadata,\n )\n else:\n # Hostname extraction failed - fallback to normal client\n # This should rarely happen as URL was already validated\n async with httpx.AsyncClient() as client:\n result = await self.make_request(\n client,\n method,\n url,\n headers,\n body,\n timeout,\n follow_redirects=follow_redirects,\n save_to_file=save_to_file,\n include_httpx_metadata=include_httpx_metadata,\n )\n else:\n # No DNS pinning needed - use normal client\n # This happens when SSRF protection is disabled or host is allowlisted\n # - SSRF protection is disabled\n # - Host is in the allowlist (e.g., localhost for Ollama)\n # - Direct IP address was used (no DNS to pin)\n async with httpx.AsyncClient() as client:\n result = await self.make_request(\n client,\n method,\n url,\n headers,\n body,\n timeout,\n follow_redirects=follow_redirects,\n save_to_file=save_to_file,\n include_httpx_metadata=include_httpx_metadata,\n )\n\n self.status = result\n return result\n\n def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None) -> dotdict:\n \"\"\"Update the build config based on the selected mode.\"\"\"\n if field_name != \"mode\":\n if field_name == \"curl_input\" and self.mode == \"cURL\" and self.curl_input:\n return self.parse_curl(self.curl_input, build_config)\n return build_config\n\n if field_value == \"cURL\":\n set_field_display(build_config, \"curl_input\", value=True)\n if build_config[\"curl_input\"][\"value\"]:\n try:\n build_config = self.parse_curl(build_config[\"curl_input\"][\"value\"], build_config)\n except ValueError as e:\n self.log(f\"Failed to parse cURL input: {e}\")\n else:\n set_field_display(build_config, \"curl_input\", value=False)\n\n return set_current_fields(\n build_config=build_config,\n action_fields=MODE_FIELDS,\n selected_action=field_value,\n default_fields=DEFAULT_FIELDS,\n func=set_field_advanced,\n default_value=True,\n )\n\n async def _response_info(\n self, response: httpx.Response, *, with_file_path: bool = False\n ) -> tuple[bool, Path | None]:\n \"\"\"Determine the file path and whether the response content is binary.\n\n Args:\n response (Response): The HTTP response object.\n with_file_path (bool): Whether to save the response content to a file.\n\n Returns:\n Tuple[bool, Path | None]:\n A tuple containing a boolean indicating if the content is binary and the full file path (if applicable).\n \"\"\"\n content_type = response.headers.get(\"Content-Type\", \"\")\n is_binary = \"application/octet-stream\" in content_type or \"application/binary\" in content_type\n\n if not with_file_path:\n return is_binary, None\n\n component_temp_dir = Path(tempfile.gettempdir()) / self.__class__.__name__\n\n # Create directory asynchronously\n await aiofiles_os.makedirs(component_temp_dir, exist_ok=True)\n\n filename = None\n if \"Content-Disposition\" in response.headers:\n content_disposition = response.headers[\"Content-Disposition\"]\n filename_match = re.search(r'filename=\"(.+?)\"', content_disposition)\n if filename_match:\n extracted_filename = filename_match.group(1)\n filename = extracted_filename\n\n # Step 3: Infer file extension or use part of the request URL if no filename\n if not filename:\n # Extract the last segment of the URL path\n url_path = urlparse(str(response.request.url) if response.request else \"\").path\n base_name = Path(url_path).name # Get the last segment of the path\n if not base_name: # If the path ends with a slash or is empty\n base_name = \"response\"\n\n # Infer file extension\n content_type_to_extension = {\n \"text/plain\": \".txt\",\n \"application/json\": \".json\",\n \"image/jpeg\": \".jpg\",\n \"image/png\": \".png\",\n \"application/octet-stream\": \".bin\",\n }\n extension = content_type_to_extension.get(content_type, \".bin\" if is_binary else \".txt\")\n filename = f\"{base_name}{extension}\"\n\n # Step 4: Define the full file path\n file_path = component_temp_dir / filename\n\n # Step 5: Check if file exists asynchronously and handle accordingly\n try:\n # Try to create the file exclusively (x mode) to check existence\n async with aiofiles.open(file_path, \"x\") as _:\n pass # File created successfully, we can use this path\n except FileExistsError:\n # If file exists, append a timestamp to the filename\n timestamp = datetime.now(timezone.utc).strftime(\"%Y%m%d%H%M%S%f\")\n file_path = component_temp_dir / f\"{timestamp}-{filename}\"\n\n return is_binary, file_path\n" }, "curl_input": { "_input_type": "MultilineInput", @@ -63838,7 +63838,7 @@ }, { "name": "openai", - "version": "2.32.0" + "version": "2.33.0" } ], "total_dependencies": 6 @@ -68214,7 +68214,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" } ], "total_dependencies": 4 @@ -69517,7 +69517,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" } ], "total_dependencies": 7 @@ -72150,7 +72150,7 @@ }, { "name": "git", - "version": "3.1.43" + "version": "3.1.47" }, { "name": "lfx", @@ -72907,7 +72907,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" }, { "name": "langchain_core", @@ -73322,7 +73322,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" }, { "name": "lfx", @@ -81279,7 +81279,7 @@ }, { "name": "langchain", - "version": "1.2.15" + "version": "1.2.17" } ], "total_dependencies": 3 @@ -86257,7 +86257,7 @@ }, { "name": "openai", - "version": "2.32.0" + "version": "2.33.0" } ], "total_dependencies": 5 @@ -88527,7 +88527,7 @@ }, { "name": "openai", - "version": "2.32.0" + "version": "2.33.0" } ], "total_dependencies": 4 @@ -92615,7 +92615,7 @@ "dependencies": [ { "name": "toolguard", - "version": "0.2.16" + "version": "0.2.17" }, { "name": "lfx", @@ -97547,7 +97547,7 @@ }, { "name": "openai", - "version": "2.32.0" + "version": "2.33.0" } ], "total_dependencies": 4 @@ -107463,7 +107463,7 @@ "icon": "calculator", "legacy": true, "metadata": { - "code_hash": "ce5b7bf595b4", + "code_hash": "eedd7fdbf06a", "dependencies": { "dependencies": [ { @@ -107541,7 +107541,7 @@ "show": true, "title_case": false, "type": "code", - "value": "import ast\nimport operator\n\nimport pytest\nfrom langchain_core.tools import ToolException\nfrom pydantic import BaseModel, Field\n\nfrom lfx.base.langchain_utilities.model import LCToolComponent\nfrom lfx.field_typing import Tool\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.log.logger import logger\nfrom lfx.schema.data import Data\n\n\nclass CalculatorToolComponent(LCToolComponent):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n icon = \"calculator\"\n name = \"CalculatorTool\"\n legacy = True\n replacement = [\"helpers.CalculatorComponent\"]\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n ),\n ]\n\n class CalculatorToolSchema(BaseModel):\n expression: str = Field(..., description=\"The arithmetic expression to evaluate.\")\n\n def run_model(self) -> list[Data]:\n return self._evaluate_expression(self.expression)\n\n def build_tool(self) -> Tool:\n try:\n from langchain_core.tools import StructuredTool\n except Exception: # noqa: BLE001\n pytest.skip(\"langchain is not available\")\n\n return StructuredTool.from_function(\n name=\"calculator\",\n description=\"Evaluate basic arithmetic expressions. Input should be a string containing the expression.\",\n func=self._eval_expr_with_error,\n args_schema=self.CalculatorToolSchema,\n )\n\n def _eval_expr(self, node):\n if isinstance(node, ast.Num):\n return node.n\n if isinstance(node, ast.BinOp):\n left_val = self._eval_expr(node.left)\n right_val = self._eval_expr(node.right)\n return self.operators[type(node.op)](left_val, right_val)\n if isinstance(node, ast.UnaryOp):\n operand_val = self._eval_expr(node.operand)\n return self.operators[type(node.op)](operand_val)\n if isinstance(node, ast.Call):\n msg = (\n \"Function calls like sqrt(), sin(), cos() etc. are not supported. \"\n \"Only basic arithmetic operations (+, -, *, /, **) are allowed.\"\n )\n raise TypeError(msg)\n msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(msg)\n\n def _eval_expr_with_error(self, expression: str) -> list[Data]:\n try:\n return self._evaluate_expression(expression)\n except Exception as e:\n raise ToolException(str(e)) from e\n\n def _evaluate_expression(self, expression: str) -> list[Data]:\n try:\n # Parse the expression and evaluate it\n tree = ast.parse(expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n # Format the result to a reasonable number of decimal places\n formatted_result = f\"{result:.6f}\".rstrip(\"0\").rstrip(\".\")\n\n self.status = formatted_result\n return [Data(data={\"result\": formatted_result})]\n\n except (SyntaxError, TypeError, KeyError) as e:\n error_message = f\"Invalid expression: {e}\"\n self.status = error_message\n return [Data(data={\"error\": error_message, \"input\": expression})]\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return [Data(data={\"error\": error_message, \"input\": expression})]\n except Exception as e: # noqa: BLE001\n logger.debug(\"Error evaluating expression\", exc_info=True)\n error_message = f\"Error: {e}\"\n self.status = error_message\n return [Data(data={\"error\": error_message, \"input\": expression})]\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.operators = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n" + "value": "import ast\nimport operator\n\nimport pytest\nfrom langchain_core.tools import ToolException\nfrom pydantic import BaseModel, Field\n\nfrom lfx.base.langchain_utilities.model import LCToolComponent\nfrom lfx.field_typing import Tool\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.log.logger import logger\nfrom lfx.schema.data import Data\n\n\nclass CalculatorToolComponent(LCToolComponent):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n icon = \"calculator\"\n name = \"CalculatorTool\"\n legacy = True\n replacement = [\"helpers.CalculatorComponent\"]\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n ),\n ]\n\n class CalculatorToolSchema(BaseModel):\n expression: str = Field(..., description=\"The arithmetic expression to evaluate.\")\n\n def run_model(self) -> list[Data]:\n return self._evaluate_expression(self.expression)\n\n def build_tool(self) -> Tool:\n try:\n from langchain_core.tools import StructuredTool\n except Exception: # noqa: BLE001\n pytest.skip(\"langchain is not available\")\n\n return StructuredTool.from_function(\n name=\"calculator\",\n description=\"Evaluate basic arithmetic expressions. Input should be a string containing the expression.\",\n func=self._eval_expr_with_error,\n args_schema=self.CalculatorToolSchema,\n )\n\n def _eval_expr(self, node):\n # ast.Num was removed in Python 3.14; ast.Constant covers numeric literals since 3.8.\n if isinstance(node, ast.Constant) and isinstance(node.value, (int, float)):\n return node.value\n if isinstance(node, ast.BinOp):\n left_val = self._eval_expr(node.left)\n right_val = self._eval_expr(node.right)\n return self.operators[type(node.op)](left_val, right_val)\n if isinstance(node, ast.UnaryOp):\n operand_val = self._eval_expr(node.operand)\n return self.operators[type(node.op)](operand_val)\n if isinstance(node, ast.Call):\n msg = (\n \"Function calls like sqrt(), sin(), cos() etc. are not supported. \"\n \"Only basic arithmetic operations (+, -, *, /, **) are allowed.\"\n )\n raise TypeError(msg)\n msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(msg)\n\n def _eval_expr_with_error(self, expression: str) -> list[Data]:\n try:\n return self._evaluate_expression(expression)\n except Exception as e:\n raise ToolException(str(e)) from e\n\n def _evaluate_expression(self, expression: str) -> list[Data]:\n try:\n # Parse the expression and evaluate it\n tree = ast.parse(expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n # Format the result to a reasonable number of decimal places\n formatted_result = f\"{result:.6f}\".rstrip(\"0\").rstrip(\".\")\n\n self.status = formatted_result\n return [Data(data={\"result\": formatted_result})]\n\n except (SyntaxError, TypeError, KeyError) as e:\n error_message = f\"Invalid expression: {e}\"\n self.status = error_message\n return [Data(data={\"error\": error_message, \"input\": expression})]\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return [Data(data={\"error\": error_message, \"input\": expression})]\n except Exception as e: # noqa: BLE001\n logger.debug(\"Error evaluating expression\", exc_info=True)\n error_message = f\"Error: {e}\"\n self.status = error_message\n return [Data(data={\"error\": error_message, \"input\": expression})]\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.operators = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n" }, "expression": { "_input_type": "MessageTextInput", @@ -111961,7 +111961,7 @@ "icon": "calculator", "legacy": false, "metadata": { - "code_hash": "37caa1aba62c", + "code_hash": "d0b2936e74fa", "dependencies": { "dependencies": [ { @@ -112010,7 +112010,7 @@ "show": true, "title_case": false, "type": "code", - "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n if isinstance(node, ast.Num): # For backwards compatibility\n if isinstance(node.n, int | float):\n return float(node.n)\n error_msg = f\"Unsupported number type: {type(node.n).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" + "value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.inputs.inputs import MessageTextInput\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n documentation: str = \"https://docs.langflow.org/calculator\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"JSON\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n" }, "expression": { "_input_type": "MessageTextInput", @@ -113454,7 +113454,7 @@ }, { "name": "langchain_google_vertexai", - "version": "3.2.2" + "version": "3.2.3" }, { "name": "google", @@ -113838,7 +113838,7 @@ }, { "name": "langchain_google_vertexai", - "version": "3.2.2" + "version": "3.2.3" }, { "name": "google", @@ -114586,7 +114586,7 @@ }, { "name": "openai", - "version": "2.32.0" + "version": "2.33.0" } ], "total_dependencies": 4 @@ -116011,7 +116011,7 @@ }, { "name": "openai", - "version": "2.32.0" + "version": "2.33.0" } ], "total_dependencies": 6 @@ -116563,7 +116563,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" }, { "name": "lfx", @@ -116752,7 +116752,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" }, { "name": "lfx", @@ -117068,7 +117068,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" }, { "name": "lfx", @@ -117467,7 +117467,7 @@ }, { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" }, { "name": "lfx", @@ -117730,7 +117730,7 @@ "dependencies": [ { "name": "googleapiclient", - "version": "2.194.0" + "version": "2.195.0" }, { "name": "pandas", @@ -118101,6 +118101,6 @@ "num_components": 355, "num_modules": 97 }, - "sha256": "30e1190dc06f5782586a9628ddb7a5705cd1aa49d4d47e90503a5ddaf85290af", + "sha256": "9f07471d53b13443be5f928057f47000fac40d687dbfc96ac40c655881d6f050", "version": "0.4.2" } diff --git a/src/lfx/src/lfx/components/data_source/api_request.py b/src/lfx/src/lfx/components/data_source/api_request.py index e599d6a406..85350dc581 100644 --- a/src/lfx/src/lfx/components/data_source/api_request.py +++ b/src/lfx/src/lfx/components/data_source/api_request.py @@ -27,7 +27,10 @@ from lfx.io import ( from lfx.schema.data import Data from lfx.schema.dotdict import dotdict from lfx.utils.component_utils import set_current_fields, set_field_advanced, set_field_display -from lfx.utils.ssrf_protection import SSRFProtectionError, validate_url_for_ssrf + +# SSRF Protection imports - for preventing Server-Side Request Forgery attacks +from lfx.utils.ssrf_protection import SSRFProtectionError, validate_and_resolve_url +from lfx.utils.ssrf_transport import create_ssrf_protected_client # Define fields for each mode MODE_FIELDS = { @@ -422,7 +425,22 @@ class APIRequestComponent(Component): return {} async def make_api_request(self) -> Data: - """Make HTTP request with optimized parameter handling.""" + """Make HTTP request with SSRF protection and DNS pinning. + + This method implements comprehensive SSRF (Server-Side Request Forgery) protection + using DNS pinning to prevent DNS rebinding attacks. The protection works by: + 1. Validating the URL and resolving DNS during security check + 2. Pinning the validated IP address + 3. Forcing the HTTP client to use the pinned IP for the actual request + 4. Ignoring any subsequent DNS changes (prevents rebinding attacks) + + Returns: + Data: Response data from the HTTP request + + Raises: + ValueError: If URL is invalid or blocked by SSRF protection + """ + # Extract request parameters method = self.method url = self.url_input.strip() if isinstance(self.url_input, str) else "" headers = self.headers or {} @@ -432,7 +450,8 @@ class APIRequestComponent(Component): save_to_file = self.save_to_file include_httpx_metadata = self.include_httpx_metadata - # Security warning when redirects are enabled + # Security warning: HTTP redirects can bypass SSRF protection + # A public URL could redirect to an internal resource if follow_redirects: self.log( "Security Warning: HTTP redirects are enabled. This may allow SSRF bypass attacks " @@ -440,51 +459,122 @@ class APIRequestComponent(Component): "Only enable this if you trust the target server." ) - # if self.mode == "cURL" and self.curl_input: - # self._build_config = self.parse_curl(self.curl_input, dotdict()) - # # After parsing curl, get the normalized URL - # url = self._build_config["url_input"]["value"] - - # Normalize URL before validation + # Normalize URL (add https:// if no protocol specified) url = self._normalize_url(url) - # Validate URL + # Basic URL format validation if not validators.url(url): msg = f"Invalid URL provided: {url}" raise ValueError(msg) - # SSRF Protection: Validate URL to prevent access to internal resources - # TODO: In next major version (2.0), remove warn_only=True to enforce blocking + # ============================================================================ + # SSRF Protection with DNS Pinning + # ============================================================================ + # This prevents DNS rebinding attacks by: + # 1. Resolving DNS and validating IPs during security check + # 2. Pinning the validated IP address + # 3. Using a custom HTTP transport that forces use of the pinned IP + # 4. Ignoring any new DNS resolutions (prevents rebinding) + # + # Without DNS pinning, an attacker could: + # - First DNS lookup: returns public IP (passes validation) + # - Second DNS lookup: returns internal IP (bypasses protection) + # - Attack succeeds: accesses internal services + # + # With DNS pinning: + # - First DNS lookup: returns public IP (passes validation) + # - IP is pinned: "example.com = 93.184.216.34" + # - HTTP request: uses pinned IP directly (no new DNS lookup) + # - Attack fails: even if DNS changes, we use the validated IP + # ============================================================================ + try: - validate_url_for_ssrf(url, warn_only=True) + # Validate URL and get validated IPs for DNS pinning + _validated_url, validated_ips = validate_and_resolve_url(url) + + # Log DNS pinning information for security auditing + if validated_ips: + self.log(f"SSRF Protection: Using DNS pinning with {len(validated_ips)} validated IP(s)") + except SSRFProtectionError as e: - # This will only raise if SSRF protection is enabled and warn_only=False + # SSRF protection blocked the request (private IP, internal network, etc.) msg = f"SSRF Protection: {e}" raise ValueError(msg) from e - # Process query parameters + # Process query parameters (from string or Data object) if isinstance(self.query_params, str): query_params = dict(parse_qsl(self.query_params)) else: query_params = self.query_params.data if self.query_params else {} - # Process headers and body + # Process headers and body into proper format headers = self._process_headers(headers) body = self._process_body(body) url = self.add_query_params(url, query_params) - async with httpx.AsyncClient() as client: - result = await self.make_request( - client, - method, - url, - headers, - body, - timeout, - follow_redirects=follow_redirects, - save_to_file=save_to_file, - include_httpx_metadata=include_httpx_metadata, - ) + # ============================================================================ + # Create HTTP Client with DNS Pinning (if SSRF protection enabled) + # ============================================================================ + from lfx.utils.ssrf_protection import is_ssrf_protection_enabled + + if is_ssrf_protection_enabled() and validated_ips: + # SSRF protection is enabled and DNS pinning is needed + # Extract hostname from the final URL (after query params added) + hostname = urlparse(url).hostname + + if hostname: + # Create client with DNS pinning to prevent rebinding attacks + # The custom transport will try validated IPs in order (supports dual-stack/load balancing) + # while preserving the Host header for virtual hosting/SNI + async with create_ssrf_protected_client( + hostname=hostname, + validated_ips=validated_ips, # Pass all validated IPs + ) as client: + result = await self.make_request( + client, + method, + url, + headers, + body, + timeout, + follow_redirects=follow_redirects, + save_to_file=save_to_file, + include_httpx_metadata=include_httpx_metadata, + ) + else: + # Hostname extraction failed - fallback to normal client + # This should rarely happen as URL was already validated + async with httpx.AsyncClient() as client: + result = await self.make_request( + client, + method, + url, + headers, + body, + timeout, + follow_redirects=follow_redirects, + save_to_file=save_to_file, + include_httpx_metadata=include_httpx_metadata, + ) + else: + # No DNS pinning needed - use normal client + # This happens when SSRF protection is disabled or host is allowlisted + # - SSRF protection is disabled + # - Host is in the allowlist (e.g., localhost for Ollama) + # - Direct IP address was used (no DNS to pin) + async with httpx.AsyncClient() as client: + result = await self.make_request( + client, + method, + url, + headers, + body, + timeout, + follow_redirects=follow_redirects, + save_to_file=save_to_file, + include_httpx_metadata=include_httpx_metadata, + ) + self.status = result return result diff --git a/src/lfx/src/lfx/components/tools/calculator.py b/src/lfx/src/lfx/components/tools/calculator.py index 64b40cf3eb..a77d4c7c03 100644 --- a/src/lfx/src/lfx/components/tools/calculator.py +++ b/src/lfx/src/lfx/components/tools/calculator.py @@ -48,8 +48,9 @@ class CalculatorToolComponent(LCToolComponent): ) def _eval_expr(self, node): - if isinstance(node, ast.Num): - return node.n + # ast.Num was removed in Python 3.14; ast.Constant covers numeric literals since 3.8. + if isinstance(node, ast.Constant) and isinstance(node.value, (int, float)): + return node.value if isinstance(node, ast.BinOp): left_val = self._eval_expr(node.left) right_val = self._eval_expr(node.right) diff --git a/src/lfx/src/lfx/components/utilities/calculator_core.py b/src/lfx/src/lfx/components/utilities/calculator_core.py index 7f31d8b34f..074038e2ff 100644 --- a/src/lfx/src/lfx/components/utilities/calculator_core.py +++ b/src/lfx/src/lfx/components/utilities/calculator_core.py @@ -43,11 +43,6 @@ class CalculatorComponent(Component): return float(node.value) error_msg = f"Unsupported constant type: {type(node.value).__name__}" raise TypeError(error_msg) - if isinstance(node, ast.Num): # For backwards compatibility - if isinstance(node.n, int | float): - return float(node.n) - error_msg = f"Unsupported number type: {type(node.n).__name__}" - raise TypeError(error_msg) if isinstance(node, ast.BinOp): op_type = type(node.op) diff --git a/src/lfx/src/lfx/services/settings/base.py b/src/lfx/src/lfx/services/settings/base.py index f00eac3512..ede8aa4b8d 100644 --- a/src/lfx/src/lfx/services/settings/base.py +++ b/src/lfx/src/lfx/services/settings/base.py @@ -398,12 +398,12 @@ class Settings(BaseSettings): use hardware-level isolation to restrict access.""" # SSRF Protection - ssrf_protection_enabled: bool = False + ssrf_protection_enabled: bool = True """If set to True, Langflow will enable SSRF (Server-Side Request Forgery) protection. When enabled, blocks requests to private IP ranges, localhost, and cloud metadata endpoints. - When False (default), no URL validation is performed, allowing requests to any destination + When False, no URL validation is performed, allowing requests to any destination including internal services, private networks, and cloud metadata endpoints. - Default is False for backward compatibility. In v2.0, this will be changed to True. + Default is True to protect against SSRF attacks including DNS rebinding. Note: When ssrf_protection_enabled is disabled, the ssrf_allowed_hosts setting is ignored and has no effect.""" ssrf_allowed_hosts: list[str] = [] @@ -444,7 +444,15 @@ class Settings(BaseSettings): @field_validator("cors_origins", mode="before") @classmethod def validate_cors_origins(cls, value): - """Convert comma-separated string to list if needed.""" + """Convert comma-separated string to list if needed. + + Pydantic-settings on Python 3.14 parses the env var "*" into ["*"] + before this validator runs (the union list[str] | str resolves + differently). Collapse that back to the bare-string wildcard so + downstream consumers see the same shape on every Python version. + """ + if isinstance(value, list) and value == ["*"]: + return "*" if isinstance(value, str) and value != "*": if "," in value: # Convert comma-separated string to list diff --git a/src/lfx/src/lfx/utils/concurrency.py b/src/lfx/src/lfx/utils/concurrency.py index 6484b83964..61342559c2 100644 --- a/src/lfx/src/lfx/utils/concurrency.py +++ b/src/lfx/src/lfx/utils/concurrency.py @@ -34,7 +34,7 @@ class KeyedWorkerLockManager: """A manager for acquiring locks between workers based on a key.""" def __init__(self) -> None: - self.locks_dir = Path(user_cache_dir("langflow"), ensure_exists=True) / "worker_locks" + self.locks_dir = Path(user_cache_dir("langflow", ensure_exists=True)) / "worker_locks" @staticmethod def _validate_key(key: str) -> bool: diff --git a/src/lfx/src/lfx/utils/ssrf_protection.py b/src/lfx/src/lfx/utils/ssrf_protection.py index d554055b3f..4044398d5f 100644 --- a/src/lfx/src/lfx/utils/ssrf_protection.py +++ b/src/lfx/src/lfx/utils/ssrf_protection.py @@ -13,15 +13,9 @@ IMPORTANT: HTTP Redirects See: https://cheatsheetseries.owasp.org/cheatsheets/Server_Side_Request_Forgery_Prevention_Cheat_Sheet.html Configuration: - LANGFLOW_SSRF_PROTECTION_ENABLED: Enable/disable SSRF protection (default: false) - TODO: Change default to true in next major version (2.0) + LANGFLOW_SSRF_PROTECTION_ENABLED: Enable/disable SSRF protection (default: true) LANGFLOW_SSRF_ALLOWED_HOSTS: Comma-separated list of allowed hosts/CIDR ranges Examples: "192.168.1.0/24,internal-api.company.local,10.0.0.5" - -TODO: In next major version (2.0): - - Change LANGFLOW_SSRF_PROTECTION_ENABLED default to "true" - - Remove warning-only mode and enforce blocking - - Update documentation to reflect breaking change """ import functools @@ -83,6 +77,16 @@ def is_ssrf_protection_enabled() -> bool: Returns: bool: True if SSRF protection is enabled, False otherwise. """ + # Read directly from environment variable to support test mocking with patch.dict() + # This ensures tests can override the protection state without settings service caching issues + import os + + env_value = os.getenv("LANGFLOW_SSRF_PROTECTION_ENABLED") + if env_value is not None: + # Environment variable is set - use it (supports test mocking) + return env_value.lower() in ("true", "1", "yes", "on") + + # Fall back to settings service for non-test scenarios return get_settings_service().settings.ssrf_protection_enabled @@ -92,11 +96,23 @@ def get_allowed_hosts() -> list[str]: Returns: list[str]: Stripped hostnames or CIDR blocks from settings, or empty list if unset. """ - allowed_hosts = get_settings_service().settings.ssrf_allowed_hosts - if not allowed_hosts: - return [] - # ssrf_allowed_hosts is already a list[str], just clean and filter entries - return [host.strip() for host in allowed_hosts if host and host.strip()] + # Read directly from environment variable to support test mocking with patch.dict() + # This ensures tests can override the allowlist without settings service caching issues + import os + + env_value = os.getenv("LANGFLOW_SSRF_ALLOWED_HOSTS", "") + if env_value: + # Parse comma-separated list from environment variable + return [host.strip() for host in env_value.split(",") if host.strip()] + + # Fall back to settings service for non-test scenarios + settings_service = get_settings_service() + if settings_service: + allowed_hosts = settings_service.settings.ssrf_allowed_hosts + if allowed_hosts: + return [host.strip() for host in allowed_hosts if host and host.strip()] + + return [] def is_host_allowed(hostname: str, ip: str | None = None) -> bool: @@ -271,7 +287,6 @@ def _validate_direct_ip_address(hostname: str) -> bool: if is_ip_blocked(ip_obj): msg = ( f"Access to IP address {hostname} is blocked by SSRF protection. " - "Requests to private/internal IP ranges are not allowed for security reasons. " "To allow this IP, add it to LANGFLOW_SSRF_ALLOWED_HOSTS environment variable." ) raise SSRFProtectionError(msg) @@ -313,15 +328,12 @@ def _validate_hostname_resolution(hostname: str) -> None: if blocked_ips: msg = ( f"Hostname {hostname} resolves to blocked IP address(es): {', '.join(blocked_ips)}. " - "Requests to private/internal IP ranges are not allowed for security reasons. " - "This protection prevents access to internal services, cloud metadata endpoints " - "(e.g., AWS 169.254.169.254), and other sensitive internal resources. " "To allow this hostname, add it to LANGFLOW_SSRF_ALLOWED_HOSTS environment variable." ) raise SSRFProtectionError(msg) -def validate_url_for_ssrf(url: str, *, warn_only: bool = True) -> None: +def validate_url_for_ssrf(url: str, *, warn_only: bool = False) -> None: """Validate a URL to prevent SSRF attacks. This function performs the following checks: @@ -333,8 +345,7 @@ def validate_url_for_ssrf(url: str, *, warn_only: bool = True) -> None: Args: url: URL to validate - warn_only: If True, only log warnings instead of raising errors (default: True) - TODO: Change default to False in next major version (2.0) + warn_only: If True, only log warnings instead of raising errors (default: False) Raises: SSRFProtectionError: If the URL is blocked due to SSRF protection (only if warn_only=False) @@ -382,3 +393,187 @@ def validate_url_for_ssrf(url: str, *, warn_only: bool = True) -> None: ) return raise + + +def validate_and_resolve_url(url: str) -> tuple[str, list[str]]: + """Validate URL for SSRF and return validated IP addresses for DNS pinning. + + This function is the core of DNS pinning-based SSRF protection. It performs + comprehensive validation and returns the validated IP addresses that should + be used for the actual HTTP request, preventing DNS rebinding attacks. + + DNS Rebinding Attack Prevention: + Without DNS pinning, an attacker can exploit the time gap between validation + and the actual HTTP request: + 1. Validation: DNS returns public IP (8.8.8.8) → passes security check + 2. [Attacker changes DNS with TTL=0] + 3. HTTP request: DNS returns internal IP (127.0.0.1) → bypasses protection + + With DNS pinning (this function): + 1. Validation: DNS returns public IP (8.8.8.8) → passes security check + 2. Function returns: (url, ['8.8.8.8']) → IP is pinned + 3. HTTP request: Uses pinned IP directly → no new DNS lookup → secure + + Args: + url: URL to validate (e.g., "http://example.com/api") + + Returns: + Tuple of (original_url, list_of_validated_ips): + - original_url: The input URL unchanged + - list_of_validated_ips: List of validated IP addresses to use for DNS pinning + Returns empty list if: + - SSRF protection is disabled + - Host is in the allowlist (e.g., localhost for Ollama) + - URL scheme is not http/https + + Raises: + SSRFProtectionError: If URL is blocked by SSRF protection + ValueError: If URL format is invalid + + Example: + >>> # Public domain - returns validated IPs for pinning + >>> url, ips = validate_and_resolve_url("http://example.com") + >>> print(ips) # ['93.184.216.34'] + + >>> # Localhost (if in allowlist) - returns empty list (no pinning needed) + >>> url, ips = validate_and_resolve_url("http://localhost:8080") + >>> print(ips) # [] + + >>> # Private IP - raises SSRFProtectionError + >>> url, ips = validate_and_resolve_url("http://192.168.1.1") + # Raises: SSRFProtectionError("Access to IP address 192.168.1.1 is blocked...") + """ + # ============================================================================ + # Step 1: Check if SSRF protection is enabled + # ============================================================================ + if not is_ssrf_protection_enabled(): + # Protection is disabled - return empty list (no DNS pinning) + return url, [] + + # ============================================================================ + # Step 2: Parse and validate URL format + # ============================================================================ + try: + parsed = urlparse(url) + except Exception as e: + msg = f"Invalid URL format: {e}" + raise ValueError(msg) from e + + try: + # ============================================================================ + # Step 3: Validate URL scheme (only http/https allowed) + # ============================================================================ + _validate_url_scheme(parsed.scheme) + if parsed.scheme not in ("http", "https"): + # Non-HTTP schemes (ftp, file, etc.) are not subject to SSRF protection + return url, [] + + # ============================================================================ + # Step 4: Extract and validate hostname + # ============================================================================ + hostname = _validate_hostname_exists(parsed.hostname) + + # ============================================================================ + # Step 5: Check allowlist (early return for trusted hosts) + # ============================================================================ + # Allowlisted hosts bypass all SSRF checks and DNS pinning + # This is used for legitimate internal services like Ollama (localhost) + if is_host_allowed(hostname): + logger.debug(f"Hostname {hostname} is in allowlist, bypassing SSRF checks and DNS pinning") + return url, [] + + # ============================================================================ + # Step 6: Handle direct IP addresses + # ============================================================================ + # Check if the hostname is already an IP address (no DNS resolution needed) + try: + ip_obj = ipaddress.ip_address(hostname) + + # Check if this specific IP is in the allowlist + if is_host_allowed(hostname, str(ip_obj)): + logger.debug(f"IP {hostname} is in allowlist") + return url, [] + + # Check if IP is in blocked ranges (private IPs, localhost, etc.) + if is_ip_blocked(ip_obj): + msg = ( + f"Access to IP address {hostname} is blocked by SSRF protection. " + "To allow this IP, add it to LANGFLOW_SSRF_ALLOWED_HOSTS environment variable." + ) + raise SSRFProtectionError(msg) + # Direct IP is public and allowed - return it for DNS pinning + # (Even though it's already an IP, we return it for consistency) + logger.debug(f"Direct IP {hostname} validated, will use for DNS pinning") + return url, [hostname] # noqa: TRY300 + + except ValueError: + # Not an IP address, it's a hostname - continue to DNS resolution + pass + + # ============================================================================ + # Step 7: Resolve hostname to IP addresses + # ============================================================================ + # This is the critical step for DNS pinning - we resolve DNS here during + # validation, and the returned IPs will be used for the actual HTTP request + resolved_ips = resolve_hostname(hostname) + blocked_ips = [] + + # ============================================================================ + # Step 8: Validate all resolved IPs + # ============================================================================ + # Security: We must check ALL resolved IPs before making any decisions. + # A hostname might resolve to multiple IPs (e.g., [8.8.8.8, 192.168.1.1]). + # If we return early on the first allowlisted IP, we skip validation of + # remaining IPs, which could include blocked/internal addresses. + # + # Strategy: + # 1. Collect all allowlisted IPs and all blocked IPs + # 2. If ANY IP is blocked → block the entire hostname (security first) + # 3. If some IPs are allowlisted but others are not → use only allowlisted IPs for pinning + # 4. If all IPs are public (none blocked, none allowlisted) → use all for pinning + allowed_ips = [] + for ip in resolved_ips: + # Check if this resolved IP is in the allowlist + if is_host_allowed(hostname, ip): + allowed_ips.append(ip) + # Check if IP is in blocked ranges + elif is_ip_blocked(ip): + blocked_ips.append(ip) + + # ============================================================================ + # Step 9: Block if any resolved IPs are private/internal + # ============================================================================ + # Security: If ANY resolved IP is blocked, we block the entire hostname. + # This prevents attacks where a hostname resolves to both safe and unsafe IPs. + if blocked_ips: + msg = ( + f"Hostname {hostname} resolves to blocked IP address(es): {', '.join(blocked_ips)}. " + "To allow this hostname, add it to LANGFLOW_SSRF_ALLOWED_HOSTS environment variable." + ) + raise SSRFProtectionError(msg) + + # ============================================================================ + # Step 9b: Handle partially allowlisted IPs + # ============================================================================ + # If some (but not all) IPs are allowlisted, use only the allowlisted ones for pinning + if allowed_ips: + logger.debug( + f"Hostname {hostname} has {len(allowed_ips)} allowlisted IP(s) out of {len(resolved_ips)} total. " + f"Using allowlisted IPs for DNS pinning: {allowed_ips}" + ) + return url, allowed_ips + # ============================================================================ + # Step 10: Return validated IPs for DNS pinning + # ============================================================================ + # All IPs are public and safe - return them for DNS pinning + # The HTTP client will use these IPs directly, preventing DNS rebinding + logger.debug(f"Hostname {hostname} validated, resolved to {resolved_ips}, will use for DNS pinning") + return url, resolved_ips # noqa: TRY300 + + except SSRFProtectionError: + # Re-raise SSRF errors as-is + raise + except Exception as e: + # Wrap unexpected errors in SSRFProtectionError + msg = f"Error validating URL: {e}" + raise SSRFProtectionError(msg) from e diff --git a/src/lfx/src/lfx/utils/ssrf_transport.py b/src/lfx/src/lfx/utils/ssrf_transport.py new file mode 100644 index 0000000000..86e6cdf20a --- /dev/null +++ b/src/lfx/src/lfx/utils/ssrf_transport.py @@ -0,0 +1,242 @@ +"""Custom httpx transport with DNS pinning for SSRF protection. + +This module provides a custom httpx transport that pins DNS resolution to validated +IP addresses, preventing DNS rebinding attacks that could bypass SSRF protection. + +The implementation uses a custom AsyncNetworkBackend to intercept TCP connections +and connect to the pinned IP address while preserving the original hostname for +TLS SNI (Server Name Indication) and certificate verification. +""" + +import ssl +from collections.abc import Iterable + +import httpcore +import httpx +from httpx import URL, Proxy +from httpx._config import create_ssl_context + +from lfx.logging import logger + + +class DNSPinningNetworkBackend(httpcore.AsyncNetworkBackend): + """Network backend that pins DNS resolution to validated IP addresses. + + This backend intercepts TCP connection attempts and redirects them to pinned + IP addresses while preserving the original hostname for TLS SNI and certificate + verification. This prevents DNS rebinding attacks without breaking HTTPS. + + How it works: + 1. When httpcore tries to connect to a hostname, we intercept the connect_tcp() call + 2. If the hostname has a pinned IP, we connect to that IP instead + 3. The original hostname is preserved for TLS handshake (SNI) and cert verification + 4. This prevents DNS rebinding while maintaining full HTTPS compatibility + """ + + def __init__(self, pinned_ips: dict[str, list[str]], backend: httpcore.AsyncNetworkBackend | None = None): + """Initialize the DNS pinning backend. + + Args: + pinned_ips: Dictionary mapping hostnames to list of validated IP addresses + backend: Underlying network backend (defaults to AnyIOBackend for asyncio) + """ + self.pinned_ips = pinned_ips + # Use httpcore's default async backend (AnyIOBackend) if none provided + # This is the public API recommended in httpcore documentation + if backend is None: + backend = httpcore.AnyIOBackend() + self._backend = backend + logger.debug(f"Created DNS pinning network backend with pinned IPs: {pinned_ips}") + + async def connect_tcp( + self, + host: str, + port: int, + timeout: float | None = None, + local_address: str | None = None, + socket_options: Iterable[httpcore.SOCKET_OPTION] | None = None, + ) -> httpcore.AsyncNetworkStream: + """Connect to TCP socket, using pinned IP if available. + + This method intercepts connection attempts and redirects to pinned IPs + while preserving the original hostname for TLS. + + Args: + host: Hostname to connect to (may be replaced with pinned IP) + port: Port number + timeout: Connection timeout + local_address: Local address to bind to + socket_options: Socket options + + Returns: + Network stream for the connection + """ + # Check if this hostname has pinned IPs + if host in self.pinned_ips: + pinned_ips = self.pinned_ips[host] + + # Security: If host is in pinned_ips but list is empty, fail rather than bypass + if not pinned_ips: + msg = f"DNS pinning: Host {host} is marked for pinning but has no pinned IPs" + logger.error(msg) + raise RuntimeError(msg) + + logger.debug(f"DNS pinning: Connecting to pinned IPs {pinned_ips} for hostname {host}") + + # Try each pinned IP in order (supports dual-stack and load balancing) + # The TLS layer will still use the original hostname for SNI and cert verification + last_error = None + for pinned_ip in pinned_ips: + try: + logger.debug(f"DNS pinning: Attempting connection to {pinned_ip}") + return await self._backend.connect_tcp( + host=pinned_ip, + port=port, + timeout=timeout, + local_address=local_address, + socket_options=socket_options, + ) + except (OSError, TimeoutError) as e: + last_error = e + logger.debug(f"DNS pinning: Failed to connect to {pinned_ip}: {e}") + continue + + # All pinned IPs failed, raise the last error + # This should never be None since we checked for empty list above + if last_error is None: + msg = f"DNS pinning: All pinned IPs failed for {host} but no error was captured" + raise RuntimeError(msg) + raise last_error + + # No pinned IP, use normal connection + return await self._backend.connect_tcp( + host=host, + port=port, + timeout=timeout, + local_address=local_address, + socket_options=socket_options, + ) + + async def connect_unix_socket( + self, + path: str, + timeout: float | None = None, + socket_options: Iterable[httpcore.SOCKET_OPTION] | None = None, + ) -> httpcore.AsyncNetworkStream: + """Connect to Unix socket (pass through to underlying backend).""" + return await self._backend.connect_unix_socket( + path=path, + timeout=timeout, + socket_options=socket_options, + ) + + async def sleep(self, seconds: float) -> None: + """Sleep for specified duration (pass through to underlying backend).""" + await self._backend.sleep(seconds) + + +class SSRFProtectedTransport(httpx.AsyncHTTPTransport): + """HTTP transport that pins DNS resolution to validated IPs. + + This transport prevents DNS rebinding attacks by using a custom network backend + that connects to pinned IP addresses while preserving the original hostname for + TLS SNI and certificate verification. + + Unlike the naive approach of rewriting URLs (which breaks HTTPS), this implementation + works at the network layer to ensure both security and compatibility. + + Example: + >>> pinned_ips = {"example.com": "93.184.216.34"} + >>> transport = SSRFProtectedTransport(pinned_ips=pinned_ips) + >>> async with httpx.AsyncClient(transport=transport) as client: + ... # Request to example.com will connect to 93.184.216.34 + ... # But TLS will still verify against example.com certificate + ... response = await client.get("https://example.com/path") + """ + + def __init__( + self, + pinned_ips: dict[str, list[str]], + verify: bool | str | ssl.SSLContext = True, # noqa: FBT001, FBT002 + cert: tuple[str, str] | tuple[str, str, str] | str | None = None, + trust_env: bool = True, # noqa: FBT001, FBT002 + http1: bool = True, # noqa: FBT001, FBT002 + http2: bool = False, # noqa: FBT001, FBT002 + limits: httpx.Limits = httpx.Limits(), # noqa: B008 + proxy: httpx._types.ProxyTypes | None = None, + uds: str | None = None, + local_address: str | None = None, + retries: int = 0, + socket_options: Iterable[httpcore.SOCKET_OPTION] | None = None, + ): + """Initialize transport with pinned DNS mappings. + + Args: + pinned_ips: Dictionary mapping hostnames to list of validated IP addresses. + Example: {"example.com": ["93.184.216.34", "2606:2800:220:1:248:1893:25c8:1946"]} + verify: SSL verification settings + cert: Client certificate + trust_env: Whether to trust environment variables for proxy config + http1: Enable HTTP/1.1 + http2: Enable HTTP/2 + limits: Connection pool limits + proxy: Proxy configuration + uds: Unix domain socket path + local_address: Local address to bind to + retries: Number of retries + socket_options: Socket options + """ + # Create custom network backend with DNS pinning + network_backend = DNSPinningNetworkBackend(pinned_ips=pinned_ips) + + # Create SSL context (same as parent class) + ssl_context = create_ssl_context(verify=verify, cert=cert, trust_env=trust_env) + + # Handle proxy (same as parent class) + if proxy is not None: + proxy = Proxy(url=proxy) if isinstance(proxy, (str, URL)) else proxy + + # Create pool with our custom network backend + # We replicate the parent's logic but add network_backend parameter + if proxy is None: + self._pool = httpcore.AsyncConnectionPool( + ssl_context=ssl_context, + max_connections=limits.max_connections, + max_keepalive_connections=limits.max_keepalive_connections, + keepalive_expiry=limits.keepalive_expiry, + http1=http1, + http2=http2, + uds=uds, + local_address=local_address, + retries=retries, + socket_options=socket_options, + network_backend=network_backend, # Our custom backend! + ) + else: + # For proxy scenarios, we'd need to handle HTTPProxy/SOCKSProxy + # For now, raise an error as DNS pinning with proxies needs special handling + msg = "DNS pinning with proxies is not currently supported" + raise NotImplementedError(msg) + + self.pinned_ips = pinned_ips + logger.debug(f"Created SSRF protected transport with pinned IPs: {pinned_ips}") + + +def create_ssrf_protected_client( + hostname: str, validated_ips: list[str] | tuple[str, ...], **client_kwargs +) -> httpx.AsyncClient: + """Create an httpx client with DNS pinning for SSRF protection. + + Args: + hostname: The hostname to pin + validated_ips: List of validated IP addresses to use for this hostname. + IPs will be tried in order for dual-stack/load-balanced hosts. + **client_kwargs: Additional arguments for AsyncClient (e.g., timeout, headers) + + Returns: + Configured AsyncClient with DNS pinning + """ + # Convert to list if tuple + ip_list = list(validated_ips) if isinstance(validated_ips, tuple) else validated_ips + transport = SSRFProtectedTransport(pinned_ips={hostname: ip_list}) + return httpx.AsyncClient(transport=transport, **client_kwargs) diff --git a/src/lfx/tests/unit/components/ibm/test_watsonx.py b/src/lfx/tests/unit/components/ibm/test_watsonx.py index 5a4b289a93..d62b84fc32 100644 --- a/src/lfx/tests/unit/components/ibm/test_watsonx.py +++ b/src/lfx/tests/unit/components/ibm/test_watsonx.py @@ -4,6 +4,14 @@ import sys from unittest.mock import MagicMock, Mock, patch import pytest + +try: + import langchain_ibm # noqa: F401 +except ImportError: + # langchain-ibm is gated to python_version<'3.14' in pyproject.toml because + # upstream pins exclude 3.14. Skip these tests on 3.14 until upstream adapts. + pytest.skip("langchain-ibm not available", allow_module_level=True) + from lfx.schema.dotdict import dotdict # Mock the langchain_ibm module before importing the component diff --git a/src/lfx/tests/unit/components/ibm/test_watsonx_embeddings.py b/src/lfx/tests/unit/components/ibm/test_watsonx_embeddings.py index 81be0f6c66..6ab67f9ed6 100644 --- a/src/lfx/tests/unit/components/ibm/test_watsonx_embeddings.py +++ b/src/lfx/tests/unit/components/ibm/test_watsonx_embeddings.py @@ -4,6 +4,16 @@ import sys from unittest.mock import MagicMock, Mock, patch import pytest + +try: + import ibm_watsonx_ai # noqa: F401 + import langchain_ibm # noqa: F401 +except ImportError: + # langchain-ibm and ibm-watsonx-ai are gated to python_version<'3.14' in + # pyproject.toml because upstream pins exclude 3.14. Skip these tests on + # 3.14 until upstream adapts. + pytest.skip("langchain-ibm / ibm-watsonx-ai not available", allow_module_level=True) + from lfx.schema.dotdict import dotdict # Mock the required modules before importing the component diff --git a/src/sdk/pyproject.toml b/src/sdk/pyproject.toml index be10ed05f6..e641f75798 100644 --- a/src/sdk/pyproject.toml +++ b/src/sdk/pyproject.toml @@ -1,9 +1,9 @@ [project] name = "langflow-sdk" -version = "0.1.2" +version = "0.1.3" description = "Python SDK for the Langflow REST API" readme = "README.md" -requires-python = ">=3.10,<3.14" +requires-python = ">=3.10,<3.15" license = "MIT" keywords = ["langflow", "sdk", "ai", "workflow"] @@ -17,7 +17,7 @@ dependencies = [ [project.optional-dependencies] testing = [ - "pytest>=8.0", + "pytest>=9.0.3", "pytest-asyncio>=0.26.0", ] @@ -45,7 +45,7 @@ markers = [ [dependency-groups] dev = [ - "pytest>=8.4.1", + "pytest>=9.0.3", "pytest-asyncio>=0.26.0", "pytest-cov>=7.0.0", "respx>=0.21.0", diff --git a/uv.lock b/uv.lock index 1ddf97fd4e..16455dacc8 100644 --- a/uv.lock +++ b/uv.lock @@ -1,11 +1,14 @@ version = 1 revision = 3 -requires-python = ">=3.10, <3.14" +requires-python = ">=3.10, <3.15" resolution-markers = [ - "python_full_version >= '3.13' and platform_machine == 'arm64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and sys_platform == 'win32'", - "python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'win32'", - "python_full_version >= '3.13' and platform_machine != 'arm64' and sys_platform == 'darwin'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'darwin'", + "python_full_version == '3.13.*' and platform_machine == 'arm64' and sys_platform == 'darwin'", + "python_full_version == '3.13.*' and sys_platform == 'win32'", + "python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'win32'", + "python_full_version == '3.13.*' and platform_machine != 'arm64' and sys_platform == 'darwin'", "python_full_version == '3.12.*' and platform_machine == 'arm64' and sys_platform == 'darwin'", "python_full_version == '3.12.*' and sys_platform == 'win32'", "python_full_version == '3.12.*' and sys_platform != 'darwin' and sys_platform != 'win32'", @@ -30,13 +33,17 @@ members = [ overrides = [ { name = "dynaconf", specifier = ">=3.2.13" }, { name = "gunicorn", specifier = ">=25.3.0" }, + { name = "lxml", specifier = ">=6.1.0,<7.0.0" }, + { name = "mako", specifier = ">=1.3.12,<2.0.0" }, { name = "markdown", specifier = ">=3.8.0" }, { name = "nltk", specifier = ">=3.9.4" }, { name = "orjson", specifier = ">=3.11.6" }, { name = "pillow", specifier = ">=12.1.1" }, { name = "playwright", specifier = ">=1.59.0" }, { name = "pypdf", specifier = ">=6.10.0" }, + { name = "python-liquid", specifier = ">=2.2.0,<3.0.0" }, { name = "python-pptx", specifier = 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"https://download.pytorch.org/whl/cpu" }, marker = "platform_machine != 'arm64' or sys_platform != 'darwin'" }, - { name = "torchvision", version = "0.26.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "platform_machine == 'arm64' and sys_platform == 'darwin'" }, - { name = "torchvision", version = "0.26.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "platform_machine != 'arm64' or sys_platform != 'darwin'" }, + { name = "torch", version = "2.11.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version >= '3.14' and sys_platform == 'darwin') or (platform_machine == 'arm64' and sys_platform == 'darwin')" }, + { name = "torch", version = "2.11.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version < '3.14' and platform_machine != 'arm64') or sys_platform != 'darwin'" }, + { name = "torchvision", version = "0.26.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version >= '3.14' and sys_platform == 'darwin') or (platform_machine == 'arm64' and sys_platform == 'darwin')" }, + { name = "torchvision", version = "0.26.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version < '3.14' and platform_machine != 'arm64') or sys_platform != 'darwin'" }, ] local = [ { name = "ctransformers" }, @@ -6275,7 +6877,8 @@ dev = [ { name = "ipykernel" }, { name = "locust" }, { name = "mcp-server-fetch" }, - { name = "onnxruntime" }, + { name = "onnxruntime", version = "1.23.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.14'" }, + { name = "onnxruntime", version = "1.26.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14'" }, { name = "packaging" }, { name = "pre-commit" }, { name = "pyleak" }, @@ -6337,13 +6940,14 @@ dev = [ { name = "httpx", specifier = ">=0.28.1" }, { name = "hypothesis", specifier = ">=6.123.17" }, { name = "ipykernel", specifier = ">=6.29.0" }, - { name = "locust", specifier = "~=2.40.5" }, + { name = "locust", specifier = "~=2.43.4" }, { name = "mcp-server-fetch", specifier = ">=2025.1.17" }, - { name = "onnxruntime", specifier = ">=1.20,<1.24" }, + { name = "onnxruntime", marker = "python_full_version < '3.14'", specifier = ">=1.20,<1.24" }, + { name = "onnxruntime", marker = "python_full_version >= '3.14'", specifier = ">=1.26" }, { name = "packaging", specifier = ">=24.1,<25.0" }, { name = "pre-commit", specifier = ">=3.7.0" }, { name = "pyleak", specifier = ">=0.1.14" }, - { name = "pytest", specifier = ">=8.2.0" }, + { name = "pytest", specifier = ">=9.0.3" }, { name = "pytest-asyncio", specifier = ">=0.23.0" }, { name = "pytest-cov", specifier = ">=5.0.0" }, { name = "pytest-flakefinder", specifier = ">=1.1.0" }, @@ -6367,7 +6971,7 @@ dev = [ [[package]] name = "langflow-base" -version = "0.9.2" +version = "0.9.3" source = { editable = "src/backend/base" } dependencies = [ { name = "aiofile" }, @@ -6399,7 +7003,7 @@ dependencies = [ { name = "gunicorn" }, { name = "httpx", extra = ["http2"] }, { name = "ibm-watsonx-ai", version = "1.3.42", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "ibm-watsonx-ai", version = "1.5.10", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "ibm-watsonx-ai", version = "1.5.10", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11' and python_full_version < '3.14'" }, { name = "jaraco-context" }, { name = "jq", marker = "sys_platform != 'win32'" }, { name = "json-repair" }, @@ -6409,7 +7013,7 @@ dependencies = [ { name = "langchain-community" }, { name = "langchain-core" }, { name = "langchain-experimental" }, - { name = "langchain-ibm" }, + { name = "langchain-ibm", marker = "python_full_version < '3.14'" }, { name = "langchainhub" }, { name = "langgraph-checkpoint" }, { name = "lfx" }, @@ -6420,7 +7024,8 @@ dependencies = [ { name = "nest-asyncio" }, { name = "networkx", version = "3.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, { name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "onnxruntime" }, + { name = "onnxruntime", version = "1.23.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.14'" }, + { name = "onnxruntime", version = "1.26.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14'" }, { name = "opentelemetry-api" }, { name = "opentelemetry-exporter-otlp" }, { name = "opentelemetry-exporter-prometheus" }, @@ -6433,6 +7038,7 @@ dependencies = [ { name = "pip" }, { name = "platformdirs" }, { name = "prometheus-client" }, + { name = "protobuf" }, { name = "pyasn1" }, { name = "pydantic" }, { name = "pydantic-settings" }, @@ -6468,7 +7074,7 @@ aioboto3 = [ ] all = [ { name = "ag2" }, - { name = "agent-lifecycle-toolkit", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" }, + { name = "agent-lifecycle-toolkit", marker = "(python_full_version < '3.14' and platform_machine != 'x86_64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, { name = "aioboto3" }, { name = "apify-client" }, { name = "arize-phoenix-otel" }, @@ -6484,7 +7090,7 @@ all = [ { name = "composio" }, { name = "composio-langchain" }, { name = "couchbase" }, - { name = "cuga", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, + { name = "cuga", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, { name = "datasets" }, { name = "ddgs" }, { name = "docling", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" }, @@ -6492,7 +7098,8 @@ all = [ { name = "dspy-ai" }, { name = "easyocr", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" }, { name = "elasticsearch" }, - { name = "faiss-cpu" }, + { name = "faiss-cpu", version = "1.9.0.post1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.14'" }, + { name = "faiss-cpu", version = "1.13.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14'" }, { name = "fake-useragent" }, { name = "fastavro", version = "1.9.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13'" }, { name = "fastavro", version = "1.12.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13'" }, @@ -6505,8 +7112,8 @@ all = [ { name = "graph-retriever" }, { name = "huggingface-hub" }, { name = "ibm-cloud-sdk-core" }, - { name = "ibm-watsonx-orchestrate-clients", marker = "python_full_version >= '3.11'" }, - { name = "ibm-watsonx-orchestrate-core", marker = "python_full_version >= '3.11'" }, + { name = "ibm-watsonx-orchestrate-clients", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" }, + { name = "ibm-watsonx-orchestrate-core", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" }, { name = "jigsawstack" }, { name = "json-repair" }, { name = "kubernetes" }, @@ -6530,12 +7137,12 @@ all = [ { name = "langchain-nvidia-ai-endpoints" }, { name = "langchain-ollama" }, { name = "langchain-openai" }, - { name = "langchain-pinecone" }, + { name = "langchain-pinecone", marker = "python_full_version < '3.14'" }, { name = "langchain-sambanova" }, { name = "langchain-unstructured" }, - { name = "langfuse" }, + { name = "langfuse", marker = "python_full_version < '3.14'" }, { name = "langsmith" }, - { name = "langwatch" }, + { name = "langwatch", marker = "python_full_version < '3.14'" }, { name = "lark" }, { name = "litellm" }, { name = "markdown" }, @@ -6562,7 +7169,7 @@ all = [ { name = "pytube" }, { name = "qdrant-client" }, { name = "qianfan" }, - { name = "ragstack-ai-knowledge-store" }, + { name = "ragstack-ai-knowledge-store", marker = "python_full_version < '3.13'" }, { name = "redis" }, { name = "scrapegraph-py", version = "1.47.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, { name = "scrapegraph-py", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, @@ -6583,7 +7190,7 @@ all = [ { name = "zep-python" }, ] altk = [ - { name = "agent-lifecycle-toolkit", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" }, + { name = "agent-lifecycle-toolkit", marker = "(python_full_version < '3.14' and platform_machine != 'x86_64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, ] anthropic = [ { name = "langchain-anthropic" }, @@ -6634,7 +7241,7 @@ cohere = [ ] complete = [ { name = "ag2" }, - { name = "agent-lifecycle-toolkit", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" }, + { name = "agent-lifecycle-toolkit", marker = "(python_full_version < '3.14' and platform_machine != 'x86_64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, { name = "aioboto3" }, { name = "apify-client" }, { name = "arize-phoenix-otel" }, @@ -6650,7 +7257,7 @@ complete = [ { name = "composio" }, { name = "composio-langchain" }, { name = "couchbase" }, - { name = "cuga", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, + { name = "cuga", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, { name = "datasets" }, { name = "ddgs" }, { name = "docling", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" }, @@ -6658,7 +7265,8 @@ complete = [ { name = "dspy-ai" }, { name = "easyocr", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" }, { name = "elasticsearch" }, - { name = "faiss-cpu" }, + { name = "faiss-cpu", version = "1.9.0.post1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.14'" }, + { name = "faiss-cpu", version = "1.13.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14'" }, { name = "fake-useragent" }, { name = "fastavro", version = "1.9.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13'" }, { name = "fastavro", version = "1.12.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13'" }, @@ -6671,8 +7279,8 @@ complete = [ { name = "graph-retriever" }, { name = "huggingface-hub" }, { name = "ibm-cloud-sdk-core" }, - { name = "ibm-watsonx-orchestrate-clients", marker = "python_full_version >= '3.11'" }, - { name = "ibm-watsonx-orchestrate-core", marker = "python_full_version >= '3.11'" }, + { name = "ibm-watsonx-orchestrate-clients", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" }, + { name = "ibm-watsonx-orchestrate-core", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" }, { name = "jigsawstack" }, { name = "json-repair" }, { name = "kubernetes" }, @@ -6696,12 +7304,12 @@ complete = [ { name = "langchain-nvidia-ai-endpoints" }, { name = "langchain-ollama" }, { name = "langchain-openai" }, - { name = "langchain-pinecone" }, + { name = "langchain-pinecone", marker = "python_full_version < '3.14'" }, { name = "langchain-sambanova" }, { name = "langchain-unstructured" }, - { name = "langfuse" }, + { name = "langfuse", marker = "python_full_version < '3.14'" }, { name = "langsmith" }, - { name = "langwatch" }, + { name = "langwatch", marker = "python_full_version < '3.14'" }, { name = "lark" }, { name = "litellm" }, { name = "markdown" }, @@ -6728,7 +7336,7 @@ complete = [ { name = "pytube" }, { name = "qdrant-client" }, { name = "qianfan" }, - { name = "ragstack-ai-knowledge-store" }, + { name = "ragstack-ai-knowledge-store", marker = "python_full_version < '3.13'" }, { name = "redis" }, { name = "scrapegraph-py", version = "1.47.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, { name = "scrapegraph-py", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, @@ -6759,7 +7367,7 @@ ctransformers = [ { name = "ctransformers" }, ] cuga = [ - { name = "cuga", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, + { name = "cuga", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, ] datasets = [ { name = "datasets" }, @@ -6785,7 +7393,8 @@ elasticsearch = [ { name = "langchain-elasticsearch" }, ] faiss = [ - { name = "faiss-cpu" }, + { name = "faiss-cpu", version = "1.9.0.post1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.14'" }, + { name = "faiss-cpu", version = "1.13.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14'" }, ] fake-useragent = [ { name = "fake-useragent" }, @@ -6828,8 +7437,8 @@ huggingface = [ ] ibm-watsonx-clients = [ { name = "ibm-cloud-sdk-core" }, - { name = "ibm-watsonx-orchestrate-clients", marker = "python_full_version >= '3.11'" }, - { name = "ibm-watsonx-orchestrate-core", marker = "python_full_version >= '3.11'" }, + { name = "ibm-watsonx-orchestrate-clients", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" }, + { name = "ibm-watsonx-orchestrate-core", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" }, ] jigsawstack = [ { name = "jigsawstack" }, @@ -6850,13 +7459,13 @@ langchain-unstructured = [ { name = "langchain-unstructured" }, ] langfuse = [ - { name = "langfuse" }, + { name = "langfuse", marker = "python_full_version < '3.14'" }, ] langsmith = [ { name = "langsmith" }, ] langwatch = [ - { name = "langwatch" }, + { name = "langwatch", marker = "python_full_version < '3.14'" }, ] lark = [ { name = "lark" }, @@ -6941,7 +7550,7 @@ pgvector = [ { name = "pgvector" }, ] pinecone = [ - { name = "langchain-pinecone" }, + { name = "langchain-pinecone", marker = "python_full_version < '3.14'" }, ] postgresql = [ { name = "sqlalchemy", extra = ["postgresql-psycopg", "postgresql-psycopg2binary"] }, @@ -6962,7 +7571,7 @@ qianfan = [ { name = "qianfan" }, ] ragstack = [ - { name = "ragstack-ai-knowledge-store" }, + { name = "ragstack-ai-knowledge-store", marker = "python_full_version < '3.13'" }, ] redis = [ { name = "redis" }, @@ -7056,7 +7665,7 @@ dev = [ [package.metadata] requires-dist = [ { name = "ag2", marker = "extra == 'ag2'", specifier = ">=0.1.0" }, - { name = "agent-lifecycle-toolkit", marker = "(platform_machine != 'x86_64' and extra == 'altk') or (sys_platform != 'darwin' and extra == 'altk')", specifier = ">=0.10.1,<1.0" }, + { name = "agent-lifecycle-toolkit", marker = "(python_full_version < '3.14' and platform_machine != 'x86_64' and extra == 'altk') or (python_full_version < '3.14' and sys_platform != 'darwin' and extra == 'altk')", specifier = ">=0.10.1,<1.0" }, { name = "aioboto3", marker = "extra == 'aioboto3'", specifier = ">=15.2.0,<16.0.0" }, { name = "aiofile", specifier = ">=3.9.0,<4.0.0" }, { name = "aiofiles", specifier = ">=24.1.0,<25.0.0" }, @@ -7085,8 +7694,8 @@ requires-dist = [ { name = "cryptography", specifier = ">=46.0.7" }, { name = "ctransformers", marker = "extra == 'ctransformers'", specifier = ">=0.2.10" }, { name = "ctransformers", marker = "extra == 'local'", specifier = ">=0.2" }, - { name = "cuga", marker = "platform_machine == 'arm64' and sys_platform == 'darwin' and extra == 'cuga'", specifier = ">=0.2.20,<0.3.0" }, - { name = "cuga", marker = "sys_platform != 'darwin' and extra == 'cuga'", specifier = ">=0.2.20,<0.3.0" }, + { name = "cuga", marker = "python_full_version < '3.14' and platform_machine == 'arm64' and sys_platform == 'darwin' and extra == 'cuga'", specifier = ">=0.2.20,<0.3.0" }, + { name = "cuga", marker = "python_full_version < '3.14' and sys_platform != 'darwin' and extra == 'cuga'", specifier = ">=0.2.20,<0.3.0" }, { name = "datasets", marker = "extra == 'datasets'", specifier = ">2.14.7,<5.0.0" }, { name = "ddgs", marker = "extra == 'duckduckgo'", specifier = ">=9.0.0" }, { name = "defusedxml", specifier = ">=0.7.1,<1.0.0" }, @@ -7103,7 +7712,8 @@ requires-dist = [ { name = "elevenlabs", marker = "python_full_version == '3.12.*'", specifier = "==1.58.1" }, { name = "email-validator", specifier = ">=2.0.0" }, { name = "emoji", specifier = ">=2.12.0,<3.0.0" }, - { name = "faiss-cpu", marker = "extra == 'faiss'", specifier = "==1.9.0.post1" }, + { name = "faiss-cpu", marker = "python_full_version >= '3.14' and extra == 'faiss'", specifier = ">=1.13.2" }, + { name = "faiss-cpu", marker = "python_full_version < '3.14' and extra == 'faiss'", specifier = "==1.9.0.post1" }, { name = "fake-useragent", marker = "extra == 'fake-useragent'", specifier = ">=2.0.0" }, { name = "fastapi", specifier = ">=0.135.0,<1.0.0" }, { name = "fastapi-pagination", specifier = ">=0.13.1,<1.0.0" }, @@ -7114,20 +7724,20 @@ requires-dist = [ { name = "filelock", specifier = ">=3.20.1,<4.0.0" }, { name = "firecrawl-py", specifier = ">=1.0.16,<2.0.0" }, { name = "gassist", marker = "sys_platform == 'win32' and extra == 'gassist'", specifier = ">=0.0.1" }, - { name = "gitpython", marker = "extra == 'gitpython'", specifier = "==3.1.47" }, + { name = "gitpython", marker = "extra == 'gitpython'", specifier = ">=3.1.50" }, { name = "google-api-python-client", marker = "extra == 'google'", specifier = "~=2.161" }, { name = "google-api-python-client", marker = "extra == 'google-api'", specifier = "~=2.161" }, { name = "google-search-results", marker = "extra == 'serpapi'", specifier = ">=2.4.1,<3.0.0" }, { name = "grandalf", specifier = ">=0.8.0,<1.0.0" }, { name = "graph-retriever", marker = "extra == 'graph-retriever'", specifier = "==0.8.0" }, { name = "greenlet", specifier = ">=3.1.1,<4.0.0" }, - { name = "gunicorn", specifier = ">=25.3.0,<26.0.0" }, + { name = "gunicorn", specifier = ">=25.3.0,<27.0.0" }, { name = "httpx", extras = ["http2"], specifier = ">=0.27,<1.0.0" }, { name = "huggingface-hub", extras = ["inference"], marker = "extra == 'huggingface'", specifier = ">=1.0.0,<2.0.0" }, { name = "ibm-cloud-sdk-core", marker = "extra == 'ibm-watsonx-clients'", specifier = "~=3.24.4" }, - { name = "ibm-watsonx-ai", specifier = ">=1.3.1,<2.0.0" }, - { name = "ibm-watsonx-orchestrate-clients", marker = "python_full_version >= '3.11' and extra == 'ibm-watsonx-clients'", specifier = "~=2.8.0" }, - { name = "ibm-watsonx-orchestrate-core", marker = "python_full_version >= '3.11' and extra == 'ibm-watsonx-clients'", specifier = "~=2.8.0" }, + { name = "ibm-watsonx-ai", marker = "python_full_version < '3.14'", specifier = ">=1.3.1,<2.0.0" }, + { name = "ibm-watsonx-orchestrate-clients", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and extra == 'ibm-watsonx-clients'", specifier = "~=2.8.0" }, + { name = "ibm-watsonx-orchestrate-core", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and extra == 'ibm-watsonx-clients'", specifier = "~=2.8.0" }, { name = "jaraco-context", specifier = ">=6.1.0" }, { name = "jigsawstack", marker = "extra == 'jigsawstack'", specifier = "==0.2.7" }, { name = "jq", marker = "sys_platform != 'win32'", specifier = ">=1.7.0,<2.0.0" }, @@ -7143,7 +7753,7 @@ requires-dist = [ { name = "langchain-chroma", marker = "extra == 'chroma'", specifier = "~=0.2.6" }, { name = "langchain-cohere", marker = "extra == 'cohere'", specifier = "~=0.5.0" }, { name = "langchain-community", specifier = "~=0.4.1" }, - { name = "langchain-core", specifier = ">=1.2.28,<2.0.0" }, + { name = "langchain-core", specifier = ">=1.3.3,<2.0.0" }, { name = "langchain-elasticsearch", marker = "extra == 'elasticsearch'", specifier = "~=1.0.0" }, { name = "langchain-experimental", specifier = "~=0.4.1" }, { name = "langchain-google-calendar-tools", marker = "extra == 'google'", specifier = "~=0.0.1" }, @@ -7153,7 +7763,7 @@ requires-dist = [ { name = "langchain-graph-retriever", marker = "extra == 'graph-retriever'", specifier = "==0.8.0" }, { name = "langchain-groq", marker = "extra == 'groq'", specifier = "~=1.1.1" }, { name = "langchain-huggingface", marker = "(platform_machine != 'x86_64' and extra == 'langchain-huggingface') or (sys_platform != 'darwin' and extra == 'langchain-huggingface')", specifier = "~=1.2.0" }, - { name = "langchain-ibm", specifier = "~=1.0.2" }, + { name = "langchain-ibm", marker = "python_full_version < '3.14'", specifier = "~=1.0.2" }, { name = "langchain-mcp-adapters", marker = "extra == 'langchain-mcp-adapters'", specifier = ">=0.1.14,<0.2.0" }, { name = "langchain-milvus", marker = "extra == 'milvus'", 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