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 978cb1ec75..3ab0afcc72 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 @@ -245,7 +245,7 @@ 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/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 ba5d4a76cc..a144103b61 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..cf1955b098 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 diff --git a/.secrets.baseline b/.secrets.baseline index c1dc789fb8..ad06605130 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -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": [ @@ -2368,6 +2376,14 @@ "hashed_secret": "d6e6d7b4b115cd3b9d172623199f8c403055fecc", "is_verified": false, "line_number": 3789 + }, + { + "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 } ], "src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json": [ @@ -2385,6 +2401,14 @@ "hashed_secret": "d6e6d7b4b115cd3b9d172623199f8c403055fecc", "is_verified": false, "line_number": 650 + }, + { + "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 } ], "src/backend/base/langflow/initial_setup/starter_projects/Social Media 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", diff --git a/docker/build_and_push.Dockerfile b/docker/build_and_push.Dockerfile index d64d6f984e..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-bookworm-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:3.12.13-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 f9e1dc9690..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-bookworm-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:3.12.13-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 3fa479929f..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=$BUILDPLATFORM because the pydantic binaries must be resolved for the final architecture # Use a Python image with uv pre-installed -FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS builder +FROM ghcr.io/astral-sh/uv:python3.14-trixie-slim AS builder # Install the project into `/app` WORKDIR /app @@ -77,7 +77,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \ # RUNTIME # Setup user, utilities and copy the virtual environment only ################################ -FROM python:3.12.13-slim-trixie AS runtime +FROM python:3.14-slim-trixie AS runtime RUN apt-get update \ diff --git a/docker/build_and_push_ep.Dockerfile b/docker/build_and_push_ep.Dockerfile index fef744f730..b88a14fae5 100644 --- a/docker/build_and_push_ep.Dockerfile +++ b/docker/build_and_push_ep.Dockerfile @@ -9,7 +9,7 @@ # 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved # 2. do not add --platform=$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-bookworm-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:3.12.13-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 b022017d9c..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-bookworm-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:3.12.13-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/pyproject.toml b/pyproject.toml index bd650211fb..60924cfe38 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -2,7 +2,7 @@ name = "langflow" version = "1.9.2" 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" @@ -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]] 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/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/pyproject.toml b/src/backend/base/pyproject.toml index c6db3a0a14..d5104e0041 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -2,7 +2,7 @@ name = "langflow-base" version = "0.9.2" 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" @@ -90,13 +90,14 @@ 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", @@ -194,7 +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 = [ @@ -202,7 +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"] @@ -231,7 +235,7 @@ ctransformers = ["ctransformers>=0.2.10"] # Individual monitoring providers langfuse = ["langfuse~=3.8"] -langwatch = ["langwatch~=0.10.0"] +langwatch = ["langwatch~=0.10.0; python_version < '3.14'"] langsmith = ["langsmith>=0.3.42,<1.0.0"] arize = ["arize-phoenix-otel>=0.6.1"] @@ -285,7 +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"] @@ -302,7 +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"] @@ -339,8 +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'", @@ -362,8 +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/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/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/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 103ce8cd00..d0b7ba9dd2 100644 --- a/src/lfx/pyproject.toml +++ b/src/lfx/pyproject.toml @@ -6,7 +6,7 @@ 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", diff --git a/src/lfx/src/lfx/_assets/component_index.json b/src/lfx/src/lfx/_assets/component_index.json index 3bac0a9c44..fcca0426f0 100644 --- a/src/lfx/src/lfx/_assets/component_index.json +++ b/src/lfx/src/lfx/_assets/component_index.json @@ -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", @@ -118101,6 +118101,6 @@ "num_components": 355, "num_modules": 97 }, - "sha256": "3a101632bdf455f8b0936f73acc5a1ae07deed3c2909a49465b85839f8e4f0d5", + "sha256": "9f07471d53b13443be5f928057f47000fac40d687dbfc96ac40c655881d6f050", "version": "0.4.2" } 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 3828cb6228..ede8aa4b8d 100644 --- a/src/lfx/src/lfx/services/settings/base.py +++ b/src/lfx/src/lfx/services/settings/base.py @@ -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/sdk/pyproject.toml b/src/sdk/pyproject.toml index 84709050a5..5d63298854 100644 --- a/src/sdk/pyproject.toml +++ b/src/sdk/pyproject.toml @@ -3,7 +3,7 @@ name = "langflow-sdk" version = "0.1.2" 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"] diff --git a/uv.lock b/uv.lock index 803279b425..44f73fb5c8 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'", @@ -50,14 +53,14 @@ version = "1.0.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "culsans", marker = "(python_full_version < '3.13' and platform_machine == 'arm64') or (python_full_version < '3.13' and sys_platform != 'darwin')" }, - { name = "google-api-core", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, - { name = "googleapis-common-protos", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, - { name = "httpx", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, - { name = "httpx-sse", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, - { name = "json-rpc", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, - { name = "packaging", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, - { name = "protobuf", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, - { name = "pydantic", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, + { name = "google-api-core", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, + { name = "googleapis-common-protos", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, + { name = "httpx", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, + { name = "httpx-sse", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, + { name = "json-rpc", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, + { name = "packaging", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, + { name = "protobuf", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, + { name = "pydantic", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/88/f3/1c312eae0298542eef1a096be378a3ad2d20b171ea0ac6be26b81f542720/a2a_sdk-1.0.2.tar.gz", hash = "sha256:e4ee4dd509894c32c9a6df728319875fa4f049e70ae82476fa447353e3a4b648", size = 375193, upload-time = "2026-04-24T13:50:24.303Z" } wheels = [ @@ -66,8 +69,8 @@ wheels = [ [package.optional-dependencies] http-server = [ - { name = "sse-starlette", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, - { name = "starlette", marker = "platform_machine == 'arm64' or sys_platform != 'darwin'" }, + { name = "sse-starlette", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, + { name = "starlette", marker = "(python_full_version < '3.14' and platform_machine == 'arm64') or (python_full_version < '3.14' and sys_platform != 'darwin')" }, ] [[package]] @@ -82,8 +85,8 @@ 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"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" }, @@ -6413,7 +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" }, @@ -6424,7 +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" }, @@ -6473,7 +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" }, @@ -6489,7 +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'" }, @@ -6497,7 +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'" }, @@ -6510,8 +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" }, @@ -6535,12 +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 = "langsmith" }, - { name = "langwatch" }, + { name = "langwatch", marker = "python_full_version < '3.14'" }, { name = "lark" }, { name = "litellm" }, { name = "markdown" }, @@ -6567,7 +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'" }, @@ -6588,7 +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" }, @@ -6639,7 +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" }, @@ -6655,7 +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'" }, @@ -6663,7 +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'" }, @@ -6676,8 +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" }, @@ -6701,12 +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 = "langsmith" }, - { name = "langwatch" }, + { name = "langwatch", marker = "python_full_version < '3.14'" }, { name = "lark" }, { name = "litellm" }, { name = "markdown" }, @@ -6733,7 +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'" }, @@ -6764,7 +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" }, @@ -6790,7 +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" }, @@ -6833,8 +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" }, @@ -6861,7 +7465,7 @@ langsmith = [ { name = "langsmith" }, ] langwatch = [ - { name = "langwatch" }, + { name = "langwatch", marker = "python_full_version < '3.14'" }, ] lark = [ { name = "lark" }, @@ -6946,7 +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"] }, @@ -6967,7 +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" }, @@ -7061,7 +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" }, @@ -7090,8 +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" }, @@ -7108,7 +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" }, @@ -7130,9 +7735,9 @@ requires-dist = [ { 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" }, @@ -7158,7 +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'", specifier = "~=0.3.2" }, { name = "langchain-mistralai", marker = "extra == 'mistral'", specifier = "~=1.1.1" }, @@ -7166,7 +7771,7 @@ requires-dist = [ { name = "langchain-nvidia-ai-endpoints", marker = "extra == 'nvidia'", specifier = "~=1.0.0" }, { name = "langchain-ollama", marker = "extra == 'ollama'", specifier = "~=0.3.10" }, { name = "langchain-openai", marker = "extra == 'openai'", specifier = ">=1.1.6" }, - { name = "langchain-pinecone", marker = "extra == 'pinecone'", specifier = "~=0.2.13" }, + { name = "langchain-pinecone", marker = "python_full_version < '3.14' and extra == 'pinecone'", specifier = "~=0.2.13" }, { name = "langchain-sambanova", marker = "extra == 'sambanova'", specifier = "~=1.0.0" }, { name = "langchain-unstructured", marker = "extra == 'langchain-unstructured'", specifier = "~=1.0.0" }, { name = "langchainhub", specifier = "~=0.1.15" }, @@ -7273,7 +7878,7 @@ requires-dist = [ { name = "langfuse", marker = "extra == 'langfuse'", specifier = "~=3.8" }, { name = "langgraph-checkpoint", specifier = ">4.0.0,<5.0.0" }, { name = "langsmith", marker = "extra == 'langsmith'", specifier = ">=0.3.42,<1.0.0" }, - { name = "langwatch", marker = "extra == 'langwatch'", specifier = "~=0.10.0" }, + { name = "langwatch", marker = "python_full_version < '3.14' and extra == 'langwatch'", specifier = "~=0.10.0" }, { name = "lark", marker = "extra == 'lark'", specifier = "==1.2.2" }, { name = "lfx", editable = "src/lfx" }, { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.83.0" }, @@ -7296,7 +7901,8 @@ requires-dist = [ { name = "networkx", specifier = ">=3.4.2,<4.0.0" }, { name = "nltk", marker = "extra == 'nltk'", specifier = ">=3.9.4" }, { name = "numexpr", marker = "extra == 'numexpr'", specifier = "==2.10.2" }, - { 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 = "openai", marker = "extra == 'openai'", specifier = ">=1.68.2,<3.0.0" }, { name = "openinference-instrumentation-langchain", marker = "extra == 'openinference'", specifier = ">=0.1.29" }, { name = "openlayer", marker = "extra == 'openlayer'", specifier = ">=0.9.0,<1.0.0" }, @@ -7331,7 +7937,7 @@ requires-dist = [ { name = "pytube", marker = "extra == 'pytube'", specifier = "==15.0.0" }, { name = "qdrant-client", marker = "extra == 'qdrant'", specifier = "==1.9.2" }, { name = "qianfan", marker = "extra == 'qianfan'", specifier = "==0.3.5" }, - { name = "ragstack-ai-knowledge-store", marker = "extra == 'ragstack'", specifier = "==0.2.1" }, + { name = "ragstack-ai-knowledge-store", marker = "python_full_version < '3.13' and extra == 'ragstack'", specifier = "==0.2.1" }, { name = "redis", marker = "extra == 'redis'", specifier = ">=7.4.0,<8.0.0" }, { name = "rich", specifier = ">=13.7.0,<14.0.0" }, { name = "scipy", specifier = ">=1.15.2,<2.0.0" }, @@ -7548,26 +8154,26 @@ name = "langwatch" version = "0.10.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "attrs" }, - { name = "coolname" }, - { name = "deprecated" }, - { name = "httpx" }, - { name = "langchain-core" }, - { name = "nanoid" }, - { name = "openinference-instrumentation-haystack" }, - { name = "openinference-instrumentation-langchain" }, - { name = "openinference-instrumentation-openai" }, - { name = "openinference-semantic-conventions" }, - { name = 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