Merge branch 'release-1.8.1' into dk/le-558

Author: dkaushik94

docker/build_and_push.Dockerfile

@@ -81,6 +81,8 @@ RUN apt-get update \
     && apt-get install --no-install-recommends -y curl git libpq5 gnupg xz-utils \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
+COPY --from=builder /usr/local/bin/uv /usr/local/bin/uv
+COPY --from=builder /usr/local/bin/uvx /usr/local/bin/uvx
 RUN ARCH=$(dpkg --print-architecture) \
     && if [ "$ARCH" = "amd64" ]; then NODE_ARCH="x64"; \
        elif [ "$ARCH" = "arm64" ]; then NODE_ARCH="arm64"; \

docker/build_and_push_backend.Dockerfile

@@ -55,7 +55,8 @@ RUN apt-get update \
         xz-utils \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
-
+COPY --from=builder /usr/local/bin/uv /usr/local/bin/uv
+COPY --from=builder /usr/local/bin/uvx /usr/local/bin/uvx
 # Install Node.js (required for npx-based MCP stdio servers)
 RUN ARCH=$(dpkg --print-architecture) \
     && if [ "$ARCH" = "amd64" ]; then NODE_ARCH="x64"; \

docker/build_and_push_base.Dockerfile

@@ -82,6 +82,8 @@ RUN apt-get update \
     && apt-get install --no-install-recommends -y curl git libpq5 gnupg xz-utils \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
+COPY --from=builder /usr/local/bin/uv /usr/local/bin/uv
+COPY --from=builder /usr/local/bin/uvx /usr/local/bin/uvx
 RUN ARCH=$(dpkg --print-architecture) \
     && if [ "$ARCH" = "amd64" ]; then NODE_ARCH="x64"; \
        elif [ "$ARCH" = "arm64" ]; then NODE_ARCH="arm64"; \

docker/build_and_push_ep.Dockerfile

@@ -77,6 +77,8 @@ RUN apt-get update \
     && apt-get install --no-install-recommends -y curl git libpq5 gnupg xz-utils \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
+COPY --from=builder /usr/local/bin/uv /usr/local/bin/uv
+COPY --from=builder /usr/local/bin/uvx /usr/local/bin/uvx
 RUN ARCH=$(dpkg --print-architecture) \
     && if [ "$ARCH" = "amd64" ]; then NODE_ARCH="x64"; \
        elif [ "$ARCH" = "arm64" ]; then NODE_ARCH="arm64"; \

docker/build_and_push_with_extras.Dockerfile

@@ -78,6 +78,8 @@ RUN apt-get update \
     && apt-get install --no-install-recommends -y curl git libpq5 gnupg xz-utils \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
+COPY --from=builder /usr/local/bin/uv /usr/local/bin/uv
+COPY --from=builder /usr/local/bin/uvx /usr/local/bin/uvx
 RUN ARCH=$(dpkg --print-architecture) \
     && if [ "$ARCH" = "amd64" ]; then NODE_ARCH="x64"; \
        elif [ "$ARCH" = "arm64" ]; then NODE_ARCH="arm64"; \

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langflow"
-version = "1.8.0"
+version = "1.8.1"
 description = "A Python package with a built-in web application"
 requires-python = ">=3.10,<3.14"
 license = "MIT"
@@ -17,7 +17,7 @@ maintainers = [
 ]
 # Define your main dependencies here
 dependencies = [
-    "langflow-base[complete]~=0.8.0",
+    "langflow-base[complete]~=0.8.1",
 ]
 
 

src/backend/base/langflow/api/utils/core.py

@@ -68,6 +68,17 @@ def has_api_terms(word: str):
     return "api" in word and ("key" in word or ("token" in word and "tokens" not in word))
 
 
+def _get_provider_from_template(template: dict) -> str | None:
+    """Return provider name from template's model field, if any."""
+    model_field = template.get("model")
+    if not isinstance(model_field, dict):
+        return None
+    raw = model_field.get("value")
+    if isinstance(raw, list) and len(raw) > 0 and isinstance(raw[0], dict):
+        return raw[0].get("provider")
+    return None
+
+
 def remove_api_keys(flow: dict):
     """Remove api keys from flow data."""
     for node in flow.get("data", {}).get("nodes", []):

src/backend/base/langflow/initial_setup/starter_projects/Basic Prompt Chaining.json

@@ -1033,7 +1033,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from lfx.base.models.model import LCModelComponent\nfrom lfx.base.models.unified_models import (\n    apply_provider_variable_config_to_build_config,\n    get_language_model_options,\n    get_llm,\n    update_model_options_in_build_config,\n)\nfrom lfx.base.models.watsonx_constants import IBM_WATSONX_URLS\nfrom lfx.field_typing import LanguageModel\nfrom lfx.field_typing.range_spec import RangeSpec\nfrom lfx.inputs.inputs import BoolInput, DropdownInput, StrInput\nfrom lfx.io import IntInput, MessageInput, ModelInput, MultilineInput, SecretStrInput, SliderInput\n\nDEFAULT_OLLAMA_URL = \"http://localhost:11434\"\n\n\nclass LanguageModelComponent(LCModelComponent):\n    display_name = \"Language Model\"\n    description = \"Runs a language model given a specified provider.\"\n    documentation: str = \"https://docs.langflow.org/components-models\"\n    icon = \"brain-circuit\"\n    category = \"models\"\n\n    inputs = [\n        ModelInput(\n            name=\"model\",\n            display_name=\"Language Model\",\n            info=\"Select your model provider\",\n            real_time_refresh=True,\n            required=True,\n        ),\n        SecretStrInput(\n            name=\"api_key\",\n            display_name=\"API Key\",\n            info=\"Model Provider API key\",\n            required=False,\n            show=True,\n            real_time_refresh=True,\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"base_url_ibm_watsonx\",\n            display_name=\"watsonx API Endpoint\",\n            info=\"The base URL of the API (IBM watsonx.ai only)\",\n            options=IBM_WATSONX_URLS,\n            value=IBM_WATSONX_URLS[0],\n            show=False,\n            real_time_refresh=True,\n        ),\n        StrInput(\n            name=\"project_id\",\n            display_name=\"watsonx Project ID\",\n            info=\"The project ID associated with the foundation model (IBM watsonx.ai only)\",\n            show=False,\n            required=False,\n        ),\n        StrInput(\n            name=\"ollama_base_url\",\n            display_name=\"Ollama API URL\",\n            info=f\"Endpoint of the Ollama API (Ollama only). Defaults to {DEFAULT_OLLAMA_URL}\",\n            value=DEFAULT_OLLAMA_URL,\n            show=False,\n            real_time_refresh=True,\n        ),\n        MessageInput(\n            name=\"input_value\",\n            display_name=\"Input\",\n            info=\"The input text to send to the model\",\n        ),\n        MultilineInput(\n            name=\"system_message\",\n            display_name=\"System Message\",\n            info=\"A system message that helps set the behavior of the assistant\",\n            advanced=False,\n        ),\n        BoolInput(\n            name=\"stream\",\n            display_name=\"Stream\",\n            info=\"Whether to stream the response\",\n            value=False,\n            advanced=True,\n        ),\n        SliderInput(\n            name=\"temperature\",\n            display_name=\"Temperature\",\n            value=0.1,\n            info=\"Controls randomness in responses\",\n            range_spec=RangeSpec(min=0, max=1, step=0.01),\n            advanced=True,\n        ),\n        IntInput(\n            name=\"max_tokens\",\n            display_name=\"Max Tokens\",\n            info=\"Maximum number of tokens to generate. Field name varies by provider.\",\n            advanced=True,\n            range_spec=RangeSpec(min=1, max=128000, step=1, step_type=\"int\"),\n        ),\n    ]\n\n    def build_model(self) -> LanguageModel:\n        return get_llm(\n            model=self.model,\n            user_id=self.user_id,\n            api_key=self.api_key,\n            temperature=self.temperature,\n            stream=self.stream,\n            max_tokens=getattr(self, \"max_tokens\", None),\n            watsonx_url=getattr(self, \"base_url_ibm_watsonx\", None),\n            watsonx_project_id=getattr(self, \"project_id\", None),\n            ollama_base_url=getattr(self, \"ollama_base_url\", None),\n        )\n\n    def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None):\n        \"\"\"Dynamically update build config with user-filtered model options.\"\"\"\n        # Update model options\n        build_config = update_model_options_in_build_config(\n            component=self,\n            build_config=build_config,\n            cache_key_prefix=\"language_model_options\",\n            get_options_func=get_language_model_options,\n            field_name=field_name,\n            field_value=field_value,\n        )\n\n        # Hide all provider-specific fields by default\n        for field in [\"api_key\", \"base_url_ibm_watsonx\", \"project_id\", \"ollama_base_url\"]:\n            if field in build_config:\n                build_config[field][\"show\"] = False\n                build_config[field][\"required\"] = False\n\n        # Show/configure provider-specific fields based on selected model\n        # Get current model value - from field_value if model is being changed, otherwise from build_config\n        current_model_value = field_value if field_name == \"model\" else build_config.get(\"model\", {}).get(\"value\")\n        if isinstance(current_model_value, list) and len(current_model_value) > 0:\n            selected_model = current_model_value[0]\n            provider = selected_model.get(\"provider\", \"\")\n\n            if provider:\n                # Apply provider variable configuration (required_for_component, advanced, env var fallback)\n                build_config = apply_provider_variable_config_to_build_config(build_config, provider)\n\n        return build_config\n"
+                "value": "from lfx.base.models.model import LCModelComponent\nfrom lfx.base.models.unified_models import (\n    apply_provider_variable_config_to_build_config,\n    get_language_model_options,\n    get_llm,\n    get_provider_for_model_name,\n    update_model_options_in_build_config,\n)\nfrom lfx.base.models.watsonx_constants import IBM_WATSONX_URLS\nfrom lfx.field_typing import LanguageModel\nfrom lfx.field_typing.range_spec import RangeSpec\nfrom lfx.inputs.inputs import BoolInput, DropdownInput, StrInput\nfrom lfx.io import IntInput, MessageInput, ModelInput, MultilineInput, SecretStrInput, SliderInput\n\nDEFAULT_OLLAMA_URL = \"http://localhost:11434\"\n\n\nclass LanguageModelComponent(LCModelComponent):\n    display_name = \"Language Model\"\n    description = \"Runs a language model given a specified provider.\"\n    documentation: str = \"https://docs.langflow.org/components-models\"\n    icon = \"brain-circuit\"\n    category = \"models\"\n\n    inputs = [\n        ModelInput(\n            name=\"model\",\n            display_name=\"Language Model\",\n            info=\"Select your model provider\",\n            real_time_refresh=True,\n            required=True,\n        ),\n        SecretStrInput(\n            name=\"api_key\",\n            display_name=\"API Key\",\n            info=\"Model Provider API key\",\n            required=False,\n            show=True,\n            real_time_refresh=True,\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"base_url_ibm_watsonx\",\n            display_name=\"watsonx API Endpoint\",\n            info=\"The base URL of the API (IBM watsonx.ai only)\",\n            options=IBM_WATSONX_URLS,\n            value=IBM_WATSONX_URLS[0],\n            show=False,\n            real_time_refresh=True,\n        ),\n        StrInput(\n            name=\"project_id\",\n            display_name=\"watsonx Project ID\",\n            info=\"The project ID associated with the foundation model (IBM watsonx.ai only)\",\n            show=False,\n            required=False,\n        ),\n        StrInput(\n            name=\"ollama_base_url\",\n            display_name=\"Ollama API URL\",\n            info=f\"Endpoint of the Ollama API (Ollama only). Defaults to {DEFAULT_OLLAMA_URL}\",\n            value=DEFAULT_OLLAMA_URL,\n            show=False,\n            real_time_refresh=True,\n        ),\n        MessageInput(\n            name=\"input_value\",\n            display_name=\"Input\",\n            info=\"The input text to send to the model\",\n        ),\n        MultilineInput(\n            name=\"system_message\",\n            display_name=\"System Message\",\n            info=\"A system message that helps set the behavior of the assistant\",\n            advanced=False,\n        ),\n        BoolInput(\n            name=\"stream\",\n            display_name=\"Stream\",\n            info=\"Whether to stream the response\",\n            value=False,\n            advanced=True,\n        ),\n        SliderInput(\n            name=\"temperature\",\n            display_name=\"Temperature\",\n            value=0.1,\n            info=\"Controls randomness in responses\",\n            range_spec=RangeSpec(min=0, max=1, step=0.01),\n            advanced=True,\n        ),\n        IntInput(\n            name=\"max_tokens\",\n            display_name=\"Max Tokens\",\n            info=\"Maximum number of tokens to generate. Field name varies by provider.\",\n            advanced=True,\n            range_spec=RangeSpec(min=1, max=128000, step=1, step_type=\"int\"),\n        ),\n    ]\n\n    def build_model(self) -> LanguageModel:\n        return get_llm(\n            model=self.model,\n            user_id=self.user_id,\n            api_key=self.api_key,\n            temperature=self.temperature,\n            stream=self.stream,\n            max_tokens=getattr(self, \"max_tokens\", None),\n            watsonx_url=getattr(self, \"base_url_ibm_watsonx\", None),\n            watsonx_project_id=getattr(self, \"project_id\", None),\n            ollama_base_url=getattr(self, \"ollama_base_url\", None),\n        )\n\n    def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None):\n        \"\"\"Dynamically update build config with user-filtered model options.\"\"\"\n        # Update model options\n        build_config = update_model_options_in_build_config(\n            component=self,\n            build_config=build_config,\n            cache_key_prefix=\"language_model_options\",\n            get_options_func=get_language_model_options,\n            field_name=field_name,\n            field_value=field_value,\n        )\n\n        current_model_value = field_value if field_name == \"model\" else build_config.get(\"model\", {}).get(\"value\")\n        provider = \"\"\n        if isinstance(current_model_value, list) and current_model_value:\n            selected_model = current_model_value[0]\n            provider = (selected_model.get(\"provider\") or \"\").strip()\n            if not provider and selected_model.get(\"name\"):\n                provider = get_provider_for_model_name(str(selected_model[\"name\"]))\n\n        if provider:\n            build_config = apply_provider_variable_config_to_build_config(build_config, provider)\n\n        return build_config\n"
               },
               "input_value": {
                 "_input_type": "MessageInput",