{
  "data": {
    "id": "WatsonxEmbeddingsComponent-pJfXI",
    "node": {
      "base_classes": [
        "Embeddings"
      ],
      "beta": false,
      "conditional_paths": [],
      "custom_fields": {},
      "description": "Generate embeddings using IBM watsonx.ai models.",
      "display_name": "IBM watsonx.ai Embeddings",
      "documentation": "",
      "edited": false,
      "field_order": [
        "url",
        "project_id",
        "api_key",
        "model_name",
        "truncate_input_tokens",
        "input_text"
      ],
      "frozen": false,
      "icon": "WatsonxAI",
      "last_updated": "2025-09-22T20:11:38.181Z",
      "legacy": false,
      "metadata": {
        "code_hash": "b6c6d50cc7ed",
        "dependencies": {
          "dependencies": [
            {
              "name": "requests",
              "version": "2.32.5"
            },
            {
              "name": "ibm_watsonx_ai",
              "version": "1.3.34"
            },
            {
              "name": "langchain_ibm",
              "version": "0.3.16"
            },
            {
              "name": "pydantic",
              "version": "2.10.6"
            },
            {
              "name": "langflow",
              "version": null
            }
          ],
          "total_dependencies": 5
        },
        "module": "langflow.components.ibm.watsonx_embeddings.WatsonxEmbeddingsComponent"
      },
      "minimized": false,
      "output_types": [],
      "outputs": [
        {
          "allows_loop": false,
          "cache": true,
          "display_name": "Embedding Model",
          "group_outputs": false,
          "method": "build_embeddings",
          "name": "embeddings",
          "options": null,
          "required_inputs": null,
          "selected": "Embeddings",
          "tool_mode": true,
          "types": [
            "Embeddings"
          ],
          "value": "__UNDEFINED__"
        }
      ],
      "pinned": false,
      "template": {
        "_type": "Component",
        "api_key": {
          "_input_type": "SecretStrInput",
          "advanced": false,
          "display_name": "API Key",
          "dynamic": false,
          "info": "The API Key to use for the model.",
          "input_types": [],
          "load_from_db": true,
          "name": "api_key",
          "password": true,
          "placeholder": "",
          "required": true,
          "show": true,
          "title_case": false,
          "type": "str",
          "value": "WATSONX_API_KEY"
        },
        "code": {
          "advanced": true,
          "dynamic": true,
          "fileTypes": [],
          "file_path": "",
          "info": "",
          "list": false,
          "load_from_db": false,
          "multiline": true,
          "name": "code",
          "password": false,
          "placeholder": "",
          "required": true,
          "show": true,
          "title_case": false,
          "type": "code",
          "value": "from typing import Any\n\nimport requests\nfrom ibm_watsonx_ai import APIClient, Credentials\nfrom ibm_watsonx_ai.metanames import EmbedTextParamsMetaNames\nfrom langchain_ibm import WatsonxEmbeddings\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.embeddings.model import LCEmbeddingsModel\nfrom langflow.field_typing import Embeddings\nfrom langflow.io import BoolInput, DropdownInput, IntInput, SecretStrInput, StrInput\nfrom langflow.logging.logger import logger\nfrom langflow.schema.dotdict import dotdict\n\n\nclass WatsonxEmbeddingsComponent(LCEmbeddingsModel):\n    display_name = \"IBM watsonx.ai Embeddings\"\n    description = \"Generate embeddings using IBM watsonx.ai models.\"\n    icon = \"WatsonxAI\"\n    name = \"WatsonxEmbeddingsComponent\"\n\n    # models present in all the regions\n    _default_models = [\n        \"sentence-transformers/all-minilm-l12-v2\",\n        \"ibm/slate-125m-english-rtrvr-v2\",\n        \"ibm/slate-30m-english-rtrvr-v2\",\n        \"intfloat/multilingual-e5-large\",\n    ]\n\n    inputs = [\n        DropdownInput(\n            name=\"url\",\n            display_name=\"watsonx API Endpoint\",\n            info=\"The base URL of the API.\",\n            value=None,\n            options=[\n                \"https://us-south.ml.cloud.ibm.com\",\n                \"https://eu-de.ml.cloud.ibm.com\",\n                \"https://eu-gb.ml.cloud.ibm.com\",\n                \"https://au-syd.ml.cloud.ibm.com\",\n                \"https://jp-tok.ml.cloud.ibm.com\",\n                \"https://ca-tor.ml.cloud.ibm.com\",\n            ],\n            real_time_refresh=True,\n        ),\n        StrInput(\n            name=\"project_id\",\n            display_name=\"watsonx project id\",\n            info=\"The project ID or deployment space ID that is associated with the foundation model.\",\n            required=True,\n        ),\n        SecretStrInput(\n            name=\"api_key\",\n            display_name=\"API Key\",\n            info=\"The API Key to use for the model.\",\n            required=True,\n        ),\n        DropdownInput(\n            name=\"model_name\",\n            display_name=\"Model Name\",\n            options=[],\n            value=None,\n            dynamic=True,\n            required=True,\n        ),\n        IntInput(\n            name=\"truncate_input_tokens\",\n            display_name=\"Truncate Input Tokens\",\n            advanced=True,\n            value=200,\n        ),\n        BoolInput(\n            name=\"input_text\",\n            display_name=\"Include the original text in the output\",\n            value=True,\n            advanced=True,\n        ),\n    ]\n\n    @staticmethod\n    def fetch_models(base_url: str) -> list[str]:\n        \"\"\"Fetch available models from the watsonx.ai API.\"\"\"\n        try:\n            endpoint = f\"{base_url}/ml/v1/foundation_model_specs\"\n            params = {\n                \"version\": \"2024-09-16\",\n                \"filters\": \"function_embedding,!lifecycle_withdrawn:and\",\n            }\n            response = requests.get(endpoint, params=params, timeout=10)\n            response.raise_for_status()\n            data = response.json()\n            models = [model[\"model_id\"] for model in data.get(\"resources\", [])]\n            return sorted(models)\n        except Exception:  # noqa: BLE001\n            logger.exception(\"Error fetching models\")\n            return WatsonxEmbeddingsComponent._default_models\n\n    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):\n        \"\"\"Update model options when URL or API key changes.\"\"\"\n        logger.debug(\n            \"Updating build config. Field name: %s, Field value: %s\",\n            field_name,\n            field_value,\n        )\n\n        if field_name == \"url\" and field_value:\n            try:\n                models = self.fetch_models(base_url=build_config.url.value)\n                build_config.model_name.options = models\n                if build_config.model_name.value:\n                    build_config.model_name.value = models[0]\n                info_message = f\"Updated model options: {len(models)} models found in {build_config.url.value}\"\n                logger.info(info_message)\n            except Exception:  # noqa: BLE001\n                logger.exception(\"Error updating model options.\")\n\n    def build_embeddings(self) -> Embeddings:\n        credentials = Credentials(\n            api_key=SecretStr(self.api_key).get_secret_value(),\n            url=self.url,\n        )\n\n        api_client = APIClient(credentials)\n\n        params = {\n            EmbedTextParamsMetaNames.TRUNCATE_INPUT_TOKENS: self.truncate_input_tokens,\n            EmbedTextParamsMetaNames.RETURN_OPTIONS: {\"input_text\": self.input_text},\n        }\n\n        return WatsonxEmbeddings(\n            model_id=self.model_name,\n            params=params,\n            watsonx_client=api_client,\n            project_id=self.project_id,\n        )\n"
        },
        "input_text": {
          "_input_type": "BoolInput",
          "advanced": true,
          "display_name": "Include the original text in the output",
          "dynamic": false,
          "info": "",
          "list": false,
          "list_add_label": "Add More",
          "name": "input_text",
          "placeholder": "",
          "required": false,
          "show": true,
          "title_case": false,
          "tool_mode": false,
          "trace_as_metadata": true,
          "type": "bool",
          "value": true
        },
        "model_name": {
          "_input_type": "DropdownInput",
          "advanced": false,
          "combobox": false,
          "dialog_inputs": {},
          "display_name": "Model Name",
          "dynamic": true,
          "info": "",
          "name": "model_name",
          "options": [
            "ibm/granite-embedding-107m-multilingual",
            "ibm/granite-embedding-278m-multilingual",
            "ibm/slate-125m-english-rtrvr",
            "ibm/slate-125m-english-rtrvr-v2",
            "ibm/slate-30m-english-rtrvr",
            "ibm/slate-30m-english-rtrvr-v2",
            "intfloat/multilingual-e5-large",
            "sentence-transformers/all-minilm-l6-v2"
          ],
          "options_metadata": [],
          "placeholder": "",
          "required": true,
          "show": true,
          "title_case": false,
          "toggle": false,
          "tool_mode": false,
          "trace_as_metadata": true,
          "type": "str",
          "value": "ibm/granite-embedding-107m-multilingual"
        },
        "project_id": {
          "_input_type": "StrInput",
          "advanced": false,
          "display_name": "watsonx project id",
          "dynamic": false,
          "info": "The project ID or deployment space ID that is associated with the foundation model.",
          "list": false,
          "list_add_label": "Add More",
          "load_from_db": true,
          "name": "project_id",
          "placeholder": "",
          "required": true,
          "show": true,
          "title_case": false,
          "tool_mode": false,
          "trace_as_metadata": true,
          "type": "str",
          "value": "WATSONX_PROJECT_ID"
        },
        "truncate_input_tokens": {
          "_input_type": "IntInput",
          "advanced": true,
          "display_name": "Truncate Input Tokens",
          "dynamic": false,
          "info": "",
          "list": false,
          "list_add_label": "Add More",
          "name": "truncate_input_tokens",
          "placeholder": "",
          "required": false,
          "show": true,
          "title_case": false,
          "tool_mode": false,
          "trace_as_metadata": true,
          "type": "int",
          "value": 200
        },
        "url": {
          "_input_type": "DropdownInput",
          "advanced": false,
          "combobox": false,
          "dialog_inputs": {},
          "display_name": "watsonx API Endpoint",
          "dynamic": false,
          "info": "The base URL of the API.",
          "name": "url",
          "options": [
            "https://us-south.ml.cloud.ibm.com",
            "https://eu-de.ml.cloud.ibm.com",
            "https://eu-gb.ml.cloud.ibm.com",
            "https://au-syd.ml.cloud.ibm.com",
            "https://jp-tok.ml.cloud.ibm.com",
            "https://ca-tor.ml.cloud.ibm.com"
          ],
          "options_metadata": [],
          "placeholder": "",
          "real_time_refresh": true,
          "required": false,
          "show": true,
          "title_case": false,
          "toggle": false,
          "tool_mode": false,
          "trace_as_metadata": true,
          "type": "str",
          "value": "https://us-south.ml.cloud.ibm.com"
        }
      },
      "tool_mode": false
    },
    "showNode": true,
    "type": "WatsonxEmbeddingsComponent"
  },
  "dragging": false,
  "id": "WatsonxEmbeddingsComponent-pJfXI",
  "measured": {
    "height": 467,
    "width": 320
  },
  "position": {
    "x": 364.4406919374723,
    "y": 282.29319267029086
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  "selected": false,
  "type": "genericNode"
}