diff --git a/docs/docs/Integrations/Google/integrations-setup-google-oauth-langflow.md b/docs/docs/Integrations/Google/integrations-setup-google-oauth-langflow.md index 172de6f8d..ce283b89e 100644 --- a/docs/docs/Integrations/Google/integrations-setup-google-oauth-langflow.md +++ b/docs/docs/Integrations/Google/integrations-setup-google-oauth-langflow.md @@ -21,15 +21,22 @@ Learn how to create an OAuth app in Google Cloud, obtain the necessary credentia 3. To enable APIs for the project, select **APIs & Services**, and then click **Library**. Enable the APIs you need for your project. For example, if your flow uses the Google Drive component, enable the Google Drive API. 4. To navigate to the OAuth consent screen, click **APIs & Services**, and then click **OAuth consent screen**. -5. Populate your OAuth consent screen with the application name, user support email, required [scopes](https://developers.google.com/identity/protocols/oauth2/scopes), and authorized domains. -6. To create an **OAuth Client ID**, navigate to **Clients**, and then click **Create Client**. -7. Choose **Desktop app** as the application type, and then name your client ID. -8. Click **Create**. A Client ID and Client Secret are created. Download the credentials as a JSON file to your local machine and save it securely. +5. Populate your OAuth consent screen with the application name, audience, and user support email. +For audience, select **External**. +This creates a testing application environment that you can add users to. +6. To add users to your OAuth audience, click **Audience**. +Under **Test users**, click **Add users**. +Enter any email addresses you intend to use to authenticate Langflow with OAuth. +These email addresses have access to the application while it's in a **Testing** publishing state. +For more information, see the [Google documentation](https://support.google.com/cloud/answer/13461325?hl=en). +7. To create an **OAuth Client ID**, navigate to **Clients**, and then click **Create Client**. +8. Choose **Desktop app** as the application type, and then name your client ID. +9. Click **Create**. +A Client ID and Client Secret are created. +Download the credentials as a JSON file to your local machine and save it securely. ![OAuth Client ID and Secret](/img/google/create-oauth-client-id.gif) ---- - ## Retrieve Access and Refresh Tokens With your OAuth application configured and your credentials JSON file created, follow these steps to authenticate the Langflow application. @@ -37,14 +44,18 @@ With your OAuth application configured and your credentials JSON file created, f 1. Create a new project in Langflow. 2. Add a **Google OAuth Token** component to your flow. 3. In the **Credentials File** field of the Google OAuth Token component, enter the path to your **Credentials File**, the JSON file containing the Client ID credentials you downloaded from Google in the previous steps. -4. To authenticate your application, in the **Google OAuth Token** component, click **Play**. +4. In the **Scopes** field of the Google Oauth Token component, enter the scope required to access your resources. +For example, to allow your Langflow application to access a user's Google Drive, the scope is `https://www.googleapis.com/auth/drive`. +For more information, see the [Google documentation](https://developers.google.com/identity/protocols/oauth2/scopes). +5. To authenticate your application, in the **Google OAuth Token** component, click **Play**. A new tab opens in the browser to authenticate your application using your Google Cloud account. You must authenticate the application with the same Google account that created the OAuth credentials. :::info If a new tab does not open automatically, check the Langflow **Logs** for the Google authentication URL. Open this URL in your browser to complete the authentication. ::: -5. After successful authentication, your Langflow application can now request and refresh tokens. These tokens enable Langflow to interact with Google services on your behalf and execute the requests you’ve specified. +6. After successful authentication, your Langflow application can request and refresh tokens. +These tokens enable Langflow to interact with Google services on your behalf and execute your specified requests. ## Create a flow with Google Drive loader @@ -55,15 +66,14 @@ In this example, the **Google Drive loader** component loads a text file hosted 1. Download the Google Drive Document Translation Example Flow JSON to your local machine. 2. To import the downloaded JSON to Langflow, click **Options**, and then select **Import**. 3. In the **Credentials File** field of the Google OAuth Token component, enter the path to your **Credentials File**, the JSON file containing the Client ID credentials you downloaded from Google in the previous steps. -4. In the Google Drive loader component, in the `JSON String of the Service Account Token` field, enter the JSON string containing the token returned in the output of the Google OAuth Token component. - +4. In the **Scopes** field of the Google Oauth Token component, enter the scope required to access your resources. +For example, to allow your Langflow application to access a user's Google Drive, the scope is `https://www.googleapis.com/auth/drive`. +For more information, see the [Google documentation](https://developers.google.com/identity/protocols/oauth2/scopes). The example flow includes a **Parse data** component to convert the `data` output of the Google OAuth Token component to the `text` input of the JSON Cleaner component. - -5. To allow the Langflow component to access the file in Google Drive, copy the Google Drive File ID from the document's URL. +5. To allow the Langflow component to access the document in Google Drive, copy the Google Drive `documentID` from the document's URL. :::info -The file ID is located between `/d/` and `/edit` in a Google Drive document's URL. -For example, in the URL `https://drive.google.com/file/d/1a2b3c4D5E6F7gHI8J9klmnopQ/edit`, the File ID is `1a2b3c4D5E6F7gHI8J9klmnopQ`. +The `documentID` is located between `/d/` and `/edit` in a Google Drive document's URL. +For example, in the URL `https://drive.google.com/file/d/1a2b3c4D5E6F7gHI8J9klmnopQ/edit`, the `documentID` is `1a2b3c4D5E6F7gHI8J9klmnopQ`. ::: 6. In the Google Drive loader component, in the **Document ID** field, paste the document URL. -7. Click the **Chat output** component, and then click **Play**. -The chat output should display a translated document. +7. To view the translated document, open the **Playground**. diff --git a/docs/static/files/Google_Drive_Docs_Translation_Example.json b/docs/static/files/Google_Drive_Docs_Translation_Example.json new file mode 100644 index 000000000..fb0ec606e --- /dev/null +++ b/docs/static/files/Google_Drive_Docs_Translation_Example.json @@ -0,0 +1,1810 @@ +{ + "id": "41dcd718-e165-442c-8510-2f01e824d8ad", + "data": { + "nodes": [ + { + "id": "ParseData-rMSd8", + "type": "genericNode", + "position": { + "x": 887.4241915933327, + "y": 180.29809720103816 + }, + "data": { + "type": "ParseData", + "node": { + "template": { + "_type": "Component", + "data": { + "tool_mode": false, + "trace_as_metadata": true, + "list": true, + "list_add_label": "Add More", + "trace_as_input": true, + "required": true, + "placeholder": "", + "show": true, + "name": "data", + "value": "", + "display_name": "Data", + "advanced": false, + "input_types": [ + "Data" + ], + "dynamic": false, + "info": "The data to convert to text.", + "title_case": false, + "type": "other", + "_input_type": "DataInput" + }, + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Data to Message\"\n description = \"Convert Data objects into Messages using any {field_name} from input data.\"\n icon = \"message-square\"\n name = \"ParseData\"\n metadata = {\n \"legacy_name\": \"Parse Data\",\n }\n\n inputs = [\n DataInput(\n name=\"data\",\n display_name=\"Data\",\n info=\"The data to convert to text.\",\n is_list=True,\n required=True,\n ),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n required=True,\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(\n display_name=\"Message\",\n name=\"text\",\n info=\"Data as a single Message, with each input Data separated by Separator\",\n method=\"parse_data\",\n ),\n Output(\n display_name=\"Data List\",\n name=\"data_list\",\n info=\"Data as a list of new Data, each having `text` formatted by Template\",\n method=\"parse_data_as_list\",\n ),\n ]\n\n def _clean_args(self) -> tuple[list[Data], str, str]:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n sep = self.sep\n return data, template, sep\n\n def parse_data(self) -> Message:\n data, template, sep = self._clean_args()\n result_string = data_to_text(template, data, sep)\n self.status = result_string\n return Message(text=result_string)\n\n def parse_data_as_list(self) -> list[Data]:\n data, template, _ = self._clean_args()\n text_list, data_list = data_to_text_list(template, data)\n for item, text in zip(data_list, text_list, strict=True):\n item.set_text(text)\n self.status = data_list\n return data_list\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "sep": { + "tool_mode": false, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "sep", + "value": "\n", + "display_name": "Separator", + "advanced": true, + "dynamic": false, + "info": "", + "title_case": false, + "type": "str", + "_input_type": "StrInput" + }, + "template": { + "tool_mode": false, + "trace_as_input": true, + "multiline": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": true, + "placeholder": "", + "show": true, + "name": "template", + "value": "{data}", + "display_name": "Template", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.", + "title_case": false, + "type": "str", + "_input_type": "MultilineInput" + } + }, + "description": "Convert Data objects into Messages using any {field_name} from input data.", + "icon": "message-square", + "base_classes": [ + "Data", + "Message" + ], + "display_name": "Data to Message", + "documentation": "", + "minimized": false, + "custom_fields": {}, + "output_types": [], + "pinned": false, + "conditional_paths": [], + "frozen": false, + "outputs": [ + { + "types": [ + "Message" + ], + "selected": "Message", + "name": "text", + "hidden": null, + "display_name": "Message", + "method": "parse_data", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": null, + "allows_loop": false, + "tool_mode": true + }, + { + "types": [ + "Data" + ], + "selected": "Data", + "name": "data_list", + "hidden": null, + "display_name": "Data List", + "method": "parse_data_as_list", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": null, + "allows_loop": false, + "tool_mode": true + } + ], + "field_order": [ + "data", + "template", + "sep" + ], + "beta": false, + "legacy": false, + "edited": false, + "metadata": { + "legacy_name": "Parse Data" + }, + "tool_mode": false, + "lf_version": "1.2.0" + }, + "id": "ParseData-rMSd8", + "description": "Convert Data objects into Messages using any {field_name} from input data.", + "display_name": "Data to Message" + }, + "selected": false, + "measured": { + "width": 320, + "height": 341 + } + }, + { + "id": "GoogleDriveComponent-jygsG", + "type": "genericNode", + "position": { + "x": 1738.4161886701863, + "y": 173.90113476475386 + }, + "data": { + "type": "GoogleDriveComponent", + "node": { + "template": { + "_type": "Component", + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "import json\nfrom json.decoder import JSONDecodeError\n\nfrom google.auth.exceptions import RefreshError\nfrom google.oauth2.credentials import Credentials\nfrom langchain_google_community import GoogleDriveLoader\n\nfrom langflow.custom import Component\nfrom langflow.helpers.data import docs_to_data\nfrom langflow.inputs import MessageTextInput\nfrom langflow.io import SecretStrInput\nfrom langflow.schema import Data\nfrom langflow.template import Output\n\n\nclass GoogleDriveComponent(Component):\n display_name = \"Google Drive Loader\"\n description = \"Loads documents from Google Drive using provided credentials.\"\n icon = \"Google\"\n\n inputs = [\n SecretStrInput(\n name=\"json_string\",\n display_name=\"JSON String of the Service Account Token\",\n info=\"JSON string containing OAuth 2.0 access token information for service account access\",\n required=True,\n ),\n MessageTextInput(\n name=\"document_id\", display_name=\"Document ID\", info=\"Single Google Drive document ID\", required=True\n ),\n ]\n\n outputs = [\n Output(display_name=\"Loaded Documents\", name=\"docs\", method=\"load_documents\"),\n ]\n\n def load_documents(self) -> Data:\n class CustomGoogleDriveLoader(GoogleDriveLoader):\n creds: Credentials | None = None\n \"\"\"Credentials object to be passed directly.\"\"\"\n\n def _load_credentials(self):\n \"\"\"Load credentials from the provided creds attribute or fallback to the original method.\"\"\"\n if self.creds:\n return self.creds\n msg = \"No credentials provided.\"\n raise ValueError(msg)\n\n class Config:\n arbitrary_types_allowed = True\n\n json_string = self.json_string\n\n document_ids = [self.document_id]\n if len(document_ids) != 1:\n msg = \"Expected a single document ID\"\n raise ValueError(msg)\n\n # TODO: Add validation to check if the document ID is valid\n\n # Load the token information from the JSON string\n try:\n token_info = json.loads(json_string)\n except JSONDecodeError as e:\n msg = \"Invalid JSON string\"\n raise ValueError(msg) from e\n\n # Initialize the custom loader with the provided credentials and document IDs\n loader = CustomGoogleDriveLoader(\n creds=Credentials.from_authorized_user_info(token_info), document_ids=document_ids\n )\n\n # Load the documents\n try:\n docs = loader.load()\n # catch google.auth.exceptions.RefreshError\n except RefreshError as e:\n msg = \"Authentication error: Unable to refresh authentication token. Please try to reauthenticate.\"\n raise ValueError(msg) from e\n except Exception as e:\n msg = f\"Error loading documents: {e}\"\n raise ValueError(msg) from e\n\n if len(docs) != 1:\n msg = \"Expected a single document to be loaded.\"\n raise ValueError(msg)\n\n data = docs_to_data(docs)\n # Return the loaded documents\n self.status = data\n return Data(data={\"text\": data})\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "document_id": { + "tool_mode": false, + "trace_as_input": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": true, + "placeholder": "", + "show": true, + "name": "document_id", + "value": "", + "display_name": "Document ID", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "Single Google Drive document ID", + "title_case": false, + "type": "str", + "_input_type": "MessageTextInput" + }, + "json_string": { + "load_from_db": false, + "required": true, + "placeholder": "", + "show": true, + "name": "json_string", + "value": "", + "display_name": "JSON String of the Service Account Token", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "JSON string containing OAuth 2.0 access token information for service account access", + "title_case": false, + "password": true, + "type": "str", + "_input_type": "SecretStrInput" + } + }, + "description": "Loads documents from Google Drive using provided credentials.", + "icon": "Google", + "base_classes": [ + "Data" + ], + "display_name": "Google Drive Loader", + "documentation": "", + "minimized": false, + "custom_fields": {}, + "output_types": [], + "pinned": false, + "conditional_paths": [], + "frozen": false, + "outputs": [ + { + "types": [ + "Data" + ], + "selected": "Data", + "name": "docs", + "hidden": null, + "display_name": "Loaded Documents", + "method": "load_documents", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": null, + "allows_loop": false, + "tool_mode": true + } + ], + "field_order": [ + "json_string", + "document_id" + ], + "beta": false, + "legacy": false, + "edited": false, + "metadata": {}, + "tool_mode": false + }, + "id": "GoogleDriveComponent-jygsG", + "description": "Loads documents from Google Drive using provided credentials.", + "display_name": "Google Drive Loader" + }, + "selected": false, + "measured": { + "width": 320, + "height": 331 + } + }, + { + "id": "ParseData-oks0N", + "type": "genericNode", + "position": { + "x": 2161.32240981231, + "y": 193.03310035270204 + }, + "data": { + "type": "ParseData", + "node": { + "template": { + "_type": "Component", + "data": { + "tool_mode": false, + "trace_as_metadata": true, + "list": true, + "list_add_label": "Add More", + "trace_as_input": true, + "required": true, + "placeholder": "", + "show": true, + "name": "data", + "value": "", + "display_name": "Data", + "advanced": false, + "input_types": [ + "Data" + ], + "dynamic": false, + "info": "The data to convert to text.", + "title_case": false, + "type": "other", + "_input_type": "DataInput" + }, + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Data to Message\"\n description = \"Convert Data objects into Messages using any {field_name} from input data.\"\n icon = \"message-square\"\n name = \"ParseData\"\n metadata = {\n \"legacy_name\": \"Parse Data\",\n }\n\n inputs = [\n DataInput(\n name=\"data\",\n display_name=\"Data\",\n info=\"The data to convert to text.\",\n is_list=True,\n required=True,\n ),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n required=True,\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(\n display_name=\"Message\",\n name=\"text\",\n info=\"Data as a single Message, with each input Data separated by Separator\",\n method=\"parse_data\",\n ),\n Output(\n display_name=\"Data List\",\n name=\"data_list\",\n info=\"Data as a list of new Data, each having `text` formatted by Template\",\n method=\"parse_data_as_list\",\n ),\n ]\n\n def _clean_args(self) -> tuple[list[Data], str, str]:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n sep = self.sep\n return data, template, sep\n\n def parse_data(self) -> Message:\n data, template, sep = self._clean_args()\n result_string = data_to_text(template, data, sep)\n self.status = result_string\n return Message(text=result_string)\n\n def parse_data_as_list(self) -> list[Data]:\n data, template, _ = self._clean_args()\n text_list, data_list = data_to_text_list(template, data)\n for item, text in zip(data_list, text_list, strict=True):\n item.set_text(text)\n self.status = data_list\n return data_list\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "sep": { + "tool_mode": false, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "sep", + "value": "\n", + "display_name": "Separator", + "advanced": true, + "dynamic": false, + "info": "", + "title_case": false, + "type": "str", + "_input_type": "StrInput" + }, + "template": { + "tool_mode": false, + "trace_as_input": true, + "multiline": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": true, + "placeholder": "", + "show": true, + "name": "template", + "value": "{text}", + "display_name": "Template", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.", + "title_case": false, + "type": "str", + "_input_type": "MultilineInput" + } + }, + "description": "Convert Data objects into Messages using any {field_name} from input data.", + "icon": "message-square", + "base_classes": [ + "Data", + "Message" + ], + "display_name": "Data to Message", + "documentation": "", + "minimized": false, + "custom_fields": {}, + "output_types": [], + "pinned": false, + "conditional_paths": [], + "frozen": false, + "outputs": [ + { + "types": [ + "Message" + ], + "selected": "Message", + "name": "text", + "hidden": null, + "display_name": "Message", + "method": "parse_data", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": null, + "allows_loop": false, + "tool_mode": true + }, + { + "types": [ + "Data" + ], + "selected": "Data", + "name": "data_list", + "hidden": null, + "display_name": "Data List", + "method": "parse_data_as_list", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": null, + "allows_loop": false, + "tool_mode": true + } + ], + "field_order": [ + "data", + "template", + "sep" + ], + "beta": false, + "legacy": false, + "edited": false, + "metadata": { + "legacy_name": "Parse Data" + }, + "tool_mode": false + }, + "id": "ParseData-oks0N", + "description": "Convert Data objects into Messages using any {field_name} from input data.", + "display_name": "Data to Message" + }, + "selected": false, + "measured": { + "width": 320, + "height": 341 + } + }, + { + "id": "OpenAIModel-WVeab", + "type": "genericNode", + "position": { + "x": 3051.376282304743, + "y": 38 + }, + "data": { + "type": "OpenAIModel", + "node": { + "template": { + "_type": "Component", + "api_key": { + "load_from_db": false, + "required": true, + "placeholder": "", + "show": true, + "name": "api_key", + "value": "", + "display_name": "OpenAI API Key", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "The OpenAI API Key to use for the OpenAI model.", + "title_case": false, + "password": true, + "type": "str", + "_input_type": "SecretStrInput" + }, + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "from langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import OPENAI_MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.field_typing.range_spec import RangeSpec\nfrom langflow.inputs import BoolInput, DictInput, DropdownInput, IntInput, SecretStrInput, SliderInput, StrInput\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n name = \"OpenAIModel\"\n\n inputs = [\n *LCModelComponent._base_inputs,\n IntInput(\n name=\"max_tokens\",\n display_name=\"Max Tokens\",\n advanced=True,\n info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n range_spec=RangeSpec(min=0, max=128000),\n ),\n DictInput(\n name=\"model_kwargs\",\n display_name=\"Model Kwargs\",\n advanced=True,\n info=\"Additional keyword arguments to pass to the model.\",\n ),\n BoolInput(\n name=\"json_mode\",\n display_name=\"JSON Mode\",\n advanced=True,\n info=\"If True, it will output JSON regardless of passing a schema.\",\n ),\n DropdownInput(\n name=\"model_name\",\n display_name=\"Model Name\",\n advanced=False,\n options=OPENAI_MODEL_NAMES,\n value=OPENAI_MODEL_NAMES[1],\n combobox=True,\n ),\n StrInput(\n name=\"openai_api_base\",\n display_name=\"OpenAI API Base\",\n advanced=True,\n info=\"The base URL of the OpenAI API. \"\n \"Defaults to https://api.openai.com/v1. \"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n ),\n SecretStrInput(\n name=\"api_key\",\n display_name=\"OpenAI API Key\",\n info=\"The OpenAI API Key to use for the OpenAI model.\",\n advanced=False,\n value=\"OPENAI_API_KEY\",\n required=True,\n ),\n SliderInput(\n name=\"temperature\", display_name=\"Temperature\", value=0.1, range_spec=RangeSpec(min=0, max=1, step=0.01)\n ),\n IntInput(\n name=\"seed\",\n display_name=\"Seed\",\n info=\"The seed controls the reproducibility of the job.\",\n advanced=True,\n value=1,\n ),\n IntInput(\n name=\"max_retries\",\n display_name=\"Max Retries\",\n info=\"The maximum number of retries to make when generating.\",\n advanced=True,\n value=5,\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n info=\"The timeout for requests to OpenAI completion API.\",\n advanced=True,\n value=700,\n ),\n ]\n\n def build_model(self) -> LanguageModel: # type: ignore[type-var]\n openai_api_key = self.api_key\n temperature = self.temperature\n model_name: str = self.model_name\n max_tokens = self.max_tokens\n model_kwargs = self.model_kwargs or {}\n openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n json_mode = self.json_mode\n seed = self.seed\n max_retries = self.max_retries\n timeout = self.timeout\n\n api_key = SecretStr(openai_api_key).get_secret_value() if openai_api_key else None\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature if temperature is not None else 0.1,\n seed=seed,\n max_retries=max_retries,\n request_timeout=timeout,\n )\n if json_mode:\n output = output.bind(response_format={\"type\": \"json_object\"})\n\n return output\n\n def _get_exception_message(self, e: Exception):\n \"\"\"Get a message from an OpenAI exception.\n\n Args:\n e (Exception): The exception to get the message from.\n\n Returns:\n str: The message from the exception.\n \"\"\"\n try:\n from openai import BadRequestError\n except ImportError:\n return None\n if isinstance(e, BadRequestError):\n message = e.body.get(\"message\")\n if message:\n return message\n return None\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "input_value": { + "trace_as_input": true, + "tool_mode": false, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "input_value", + "value": "", + "display_name": "Input", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "", + "title_case": false, + "type": "str", + "_input_type": "MessageInput" + }, + "json_mode": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "json_mode", + "value": false, + "display_name": "JSON Mode", + "advanced": true, + "dynamic": false, + "info": "If True, it will output JSON regardless of passing a schema.", + "title_case": false, + "type": "bool", + "_input_type": "BoolInput" + }, + "max_retries": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "max_retries", + "value": 5, + "display_name": "Max Retries", + "advanced": true, + "dynamic": false, + "info": "The maximum number of retries to make when generating.", + "title_case": false, + "type": "int", + "_input_type": "IntInput" + }, + "max_tokens": { + "tool_mode": false, + "trace_as_metadata": true, + "range_spec": { + "step_type": "float", + "min": 0, + "max": 128000, + "step": 0.1 + }, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "max_tokens", + "value": "", + "display_name": "Max Tokens", + "advanced": true, + "dynamic": false, + "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", + "title_case": false, + "type": "int", + "_input_type": "IntInput" + }, + "model_kwargs": { + "tool_mode": false, + "trace_as_input": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "model_kwargs", + "value": {}, + "display_name": "Model Kwargs", + "advanced": true, + "dynamic": false, + "info": "Additional keyword arguments to pass to the model.", + "title_case": false, + "type": "dict", + "_input_type": "DictInput" + }, + "model_name": { + "tool_mode": false, + "trace_as_metadata": true, + "options": [ + "gpt-4o-mini", + "gpt-4o", + "gpt-4.5-preview", + "gpt-4-turbo", + "gpt-4-turbo-preview", + "gpt-4", + "gpt-3.5-turbo" + ], + "options_metadata": [], + "combobox": true, + "dialog_inputs": {}, + "required": false, + "placeholder": "", + "show": true, + "name": "model_name", + "value": "gpt-4o-mini", + "display_name": "Model Name", + "advanced": false, + "dynamic": false, + "info": "", + "title_case": false, + "type": "str", + "_input_type": "DropdownInput", + "load_from_db": false + }, + "openai_api_base": { + "tool_mode": false, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "openai_api_base", + "value": "", + "display_name": "OpenAI API Base", + "advanced": true, + "dynamic": false, + "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.", + "title_case": false, + "type": "str", + "_input_type": "StrInput" + }, + "seed": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "seed", + "value": 1, + "display_name": "Seed", + "advanced": true, + "dynamic": false, + "info": "The seed controls the reproducibility of the job.", + "title_case": false, + "type": "int", + "_input_type": "IntInput" + }, + "stream": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "stream", + "value": false, + "display_name": "Stream", + "advanced": false, + "dynamic": false, + "info": "Stream the response from the model. Streaming works only in Chat.", + "title_case": false, + "type": "bool", + "_input_type": "BoolInput" + }, + "system_message": { + "tool_mode": false, + "trace_as_input": true, + "multiline": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "system_message", + "value": "", + "display_name": "System Message", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "System message to pass to the model.", + "title_case": false, + "type": "str", + "_input_type": "MultilineInput" + }, + "temperature": { + "tool_mode": false, + "min_label": "", + "max_label": "", + "min_label_icon": "", + "max_label_icon": "", + "slider_buttons": false, + "slider_buttons_options": [], + "slider_input": false, + "range_spec": { + "step_type": "float", + "min": 0, + "max": 1, + "step": 0.01 + }, + "required": false, + "placeholder": "", + "show": true, + "name": "temperature", + "value": 0.1, + "display_name": "Temperature", + "advanced": false, + "dynamic": false, + "info": "", + "title_case": false, + "type": "slider", + "_input_type": "SliderInput" + }, + "timeout": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "timeout", + "value": 700, + "display_name": "Timeout", + "advanced": true, + "dynamic": false, + "info": "The timeout for requests to OpenAI completion API.", + "title_case": false, + "type": "int", + "_input_type": "IntInput" + } + }, + "description": "Generates text using OpenAI LLMs.", + "icon": "OpenAI", + "base_classes": [ + "LanguageModel", + "Message" + ], + "display_name": "OpenAI", + "documentation": "", + "minimized": false, + "custom_fields": {}, + "output_types": [], + "pinned": false, + "conditional_paths": [], + "frozen": false, + "outputs": [ + { + "types": [ + "Message" + ], + "selected": "Message", + "name": "text_output", + "hidden": null, + "display_name": "Message", + "method": "text_response", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": [], + "allows_loop": false, + "tool_mode": true + }, + { + "types": [ + "LanguageModel" + ], + "selected": "LanguageModel", + "name": "model_output", + "hidden": null, + "display_name": "Language Model", + "method": "build_model", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": [ + "api_key" + ], + "allows_loop": false, + "tool_mode": true + } + ], + "field_order": [ + "input_value", + "system_message", + "stream", + "max_tokens", + "model_kwargs", + "json_mode", + "model_name", + "openai_api_base", + "api_key", + "temperature", + "seed", + "max_retries", + "timeout" + ], + "beta": false, + "legacy": false, + "edited": false, + "metadata": {}, + "tool_mode": false + }, + "id": "OpenAIModel-WVeab", + "description": "Generates text using OpenAI LLMs.", + "display_name": "OpenAI" + }, + "selected": false, + "measured": { + "width": 320, + "height": 653 + } + }, + { + "id": "ChatOutput-bDqcn", + "type": "genericNode", + "position": { + "x": 3524.582890221347, + "y": 225.94609501733214 + }, + "data": { + "type": "ChatOutput", + "node": { + "template": { + "_type": "Component", + "input_value": { + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": true, + "placeholder": "", + "show": true, + "name": "input_value", + "value": "", + "display_name": "Text", + "advanced": false, + "input_types": [ + "Data", + "DataFrame", + "Message" + ], + "dynamic": false, + "info": "Message to be passed as output.", + "title_case": false, + "type": "other", + "_input_type": "HandleInput" + }, + "background_color": { + "tool_mode": false, + "trace_as_input": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "background_color", + "value": "", + "display_name": "Background Color", + "advanced": true, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "The background color of the icon.", + "title_case": false, + "type": "str", + "_input_type": "MessageTextInput" + }, + "chat_icon": { + "tool_mode": false, + "trace_as_input": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "chat_icon", + "value": "", + "display_name": "Icon", + "advanced": true, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "The icon of the message.", + "title_case": false, + "type": "str", + "_input_type": "MessageTextInput" + }, + "clean_data": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "clean_data", + "value": true, + "display_name": "Basic Clean Data", + "advanced": true, + "dynamic": false, + "info": "Whether to clean the data", + "title_case": false, + "type": "bool", + "_input_type": "BoolInput" + }, + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "from collections.abc import Generator\nfrom typing import Any\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.inputs.inputs import HandleInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.data import Data\nfrom langflow.schema.dataframe import DataFrame\nfrom langflow.schema.message import Message\nfrom langflow.schema.properties import Source\nfrom langflow.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_AI,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"MessagesSquare\"\n name = \"ChatOutput\"\n minimized = True\n\n inputs = [\n HandleInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n input_types=[\"Data\", \"DataFrame\", \"Message\"],\n required=True,\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=True,\n ),\n BoolInput(\n name=\"clean_data\",\n display_name=\"Basic Clean Data\",\n value=True,\n info=\"Whether to clean the data\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(\n display_name=\"Message\",\n name=\"message\",\n method=\"message_response\",\n ),\n ]\n\n def _build_source(self, id_: str | None, display_name: str | None, source: str | None) -> Source:\n source_dict = {}\n if id_:\n source_dict[\"id\"] = id_\n if display_name:\n source_dict[\"display_name\"] = display_name\n if source:\n # Handle case where source is a ChatOpenAI object\n if hasattr(source, \"model_name\"):\n source_dict[\"source\"] = source.model_name\n elif hasattr(source, \"model\"):\n source_dict[\"source\"] = str(source.model)\n else:\n source_dict[\"source\"] = str(source)\n return Source(**source_dict)\n\n async def message_response(self) -> Message:\n # First convert the input to string if needed\n text = self.convert_to_string()\n # Get source properties\n source, icon, display_name, source_id = self.get_properties_from_source_component()\n background_color = self.background_color\n text_color = self.text_color\n if self.chat_icon:\n icon = self.chat_icon\n\n # Create or use existing Message object\n if isinstance(self.input_value, Message):\n message = self.input_value\n # Update message properties\n message.text = text\n else:\n message = Message(text=text)\n\n # Set message properties\n message.sender = self.sender\n message.sender_name = self.sender_name\n message.session_id = self.session_id\n message.flow_id = self.graph.flow_id if hasattr(self, \"graph\") else None\n message.properties.source = self._build_source(source_id, display_name, source)\n message.properties.icon = icon\n message.properties.background_color = background_color\n message.properties.text_color = text_color\n\n # Store message if needed\n if self.session_id and self.should_store_message:\n stored_message = await self.send_message(message)\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n\n def _validate_input(self) -> None:\n \"\"\"Validate the input data and raise ValueError if invalid.\"\"\"\n if self.input_value is None:\n msg = \"Input data cannot be None\"\n raise ValueError(msg)\n if isinstance(self.input_value, list) and not all(\n isinstance(item, Message | Data | DataFrame | str) for item in self.input_value\n ):\n invalid_types = [\n type(item).__name__\n for item in self.input_value\n if not isinstance(item, Message | Data | DataFrame | str)\n ]\n msg = f\"Expected Data or DataFrame or Message or str, got {invalid_types}\"\n raise TypeError(msg)\n if not isinstance(\n self.input_value,\n Message | Data | DataFrame | str | list | Generator | type(None),\n ):\n type_name = type(self.input_value).__name__\n msg = f\"Expected Data or DataFrame or Message or str, Generator or None, got {type_name}\"\n raise TypeError(msg)\n\n def _safe_convert(self, data: Any) -> str:\n \"\"\"Safely convert input data to string.\"\"\"\n try:\n if isinstance(data, str):\n return data\n if isinstance(data, Message):\n return data.get_text()\n if isinstance(data, Data):\n if data.get_text() is None:\n msg = \"Empty Data object\"\n raise ValueError(msg)\n return data.get_text()\n if isinstance(data, DataFrame):\n if self.clean_data:\n # Remove empty rows\n data = data.dropna(how=\"all\")\n # Remove empty lines in each cell\n data = data.replace(r\"^\\s*$\", \"\", regex=True)\n # Replace multiple newlines with a single newline\n data = data.replace(r\"\\n+\", \"\\n\", regex=True)\n\n # Replace pipe characters to avoid markdown table issues\n processed_data = data.replace(r\"\\|\", r\"\\\\|\", regex=True)\n\n processed_data = processed_data.map(\n lambda x: str(x).replace(\"\\n\", \"
\") if isinstance(x, str) else x\n )\n\n return processed_data.to_markdown(index=False)\n return str(data)\n except (ValueError, TypeError, AttributeError) as e:\n msg = f\"Error converting data: {e!s}\"\n raise ValueError(msg) from e\n\n def convert_to_string(self) -> str | Generator[Any, None, None]:\n \"\"\"Convert input data to string with proper error handling.\"\"\"\n self._validate_input()\n if isinstance(self.input_value, list):\n return \"\\n\".join([self._safe_convert(item) for item in self.input_value])\n if isinstance(self.input_value, Generator):\n return self.input_value\n return self._safe_convert(self.input_value)\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "data_template": { + "tool_mode": false, + "trace_as_input": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "data_template", + "value": "{text}", + "display_name": "Data Template", + "advanced": true, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", + "title_case": false, + "type": "str", + "_input_type": "MessageTextInput" + }, + "sender": { + "tool_mode": false, + "trace_as_metadata": true, + "options": [ + "Machine", + "User" + ], + "options_metadata": [], + "combobox": false, + "dialog_inputs": {}, + "required": false, + "placeholder": "", + "show": true, + "name": "sender", + "value": "Machine", + "display_name": "Sender Type", + "advanced": true, + "dynamic": false, + "info": "Type of sender.", + "title_case": false, + "type": "str", + "_input_type": "DropdownInput" + }, + "sender_name": { + "tool_mode": false, + "trace_as_input": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "sender_name", + "value": "AI", + "display_name": "Sender Name", + "advanced": true, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "Name of the sender.", + "title_case": false, + "type": "str", + "_input_type": "MessageTextInput" + }, + "session_id": { + "tool_mode": false, + "trace_as_input": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "session_id", + "value": "", + "display_name": "Session ID", + "advanced": true, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", + "title_case": false, + "type": "str", + "_input_type": "MessageTextInput" + }, + "should_store_message": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "should_store_message", + "value": true, + "display_name": "Store Messages", + "advanced": true, + "dynamic": false, + "info": "Store the message in the history.", + "title_case": false, + "type": "bool", + "_input_type": "BoolInput" + }, + "text_color": { + "tool_mode": false, + "trace_as_input": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "text_color", + "value": "", + "display_name": "Text Color", + "advanced": true, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "The text color of the name", + "title_case": false, + "type": "str", + "_input_type": "MessageTextInput" + } + }, + "description": "Display a chat message in the Playground.", + "icon": "MessagesSquare", + "base_classes": [ + "Message" + ], + "display_name": "Chat Output", + "documentation": "", + "minimized": true, + "custom_fields": {}, + "output_types": [], + "pinned": false, + "conditional_paths": [], + "frozen": false, + "outputs": [ + { + "types": [ + "Message" + ], + "selected": "Message", + "name": "message", + "hidden": null, + "display_name": "Message", + "method": "message_response", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": null, + "allows_loop": false, + "tool_mode": true + } + ], + "field_order": [ + "input_value", + "should_store_message", + "sender", + "sender_name", + "session_id", + "data_template", + "background_color", + "chat_icon", + "text_color", + "clean_data" + ], + "beta": false, + "legacy": false, + "edited": false, + "metadata": {}, + "tool_mode": false + }, + "id": "ChatOutput-bDqcn", + "description": "Display a chat message in the Playground.", + "display_name": "Chat Output" + }, + "selected": false, + "measured": { + "width": 320, + "height": 191 + } + }, + { + "id": "note-jsGaJ", + "type": "noteNode", + "position": { + "x": 20, + "y": 83.24526776100545 + }, + "data": { + "node": { + "description": "## Langflow OAuth Integration\n\n[Langflow - OAuth Integration Documentation](docs.langflow.org/integrations-setup-google-oauth-langflow)\n\n[Drive API Documentation](https://developers.google.com/drive/api/guides/api-specific-auth)\n\n## Quickstart\n1. Add this scope to the **Google OAuth token component** to grant access to Google Drive.\n```\nhttps://www.googleapis.com/auth/drive.readonly\n```\n2. Add your **Credentials File** JSON to the **Google OAuth Token** component.\n3. Add your OpenAI API key to the **OpenAI model component**.\n4. In the **Google Drive loader component**, enter the **Document ID** of the document you want to translate.\n5. Open the **Playground** to view the translated document.", + "display_name": "", + "documentation": "", + "template": { + "backgroundColor": "indigo" + } + }, + "type": "note", + "id": "note-jsGaJ" + }, + "selected": true, + "measured": { + "width": 325, + "height": 676 + }, + "dragging": false + }, + { + "id": "GoogleOAuthToken-GALPA", + "type": "genericNode", + "position": { + "x": 429.1758884715199, + "y": 161.68821125122946 + }, + "data": { + "node": { + "template": { + "_type": "Component", + "oauth_credentials": { + "trace_as_metadata": true, + "file_path": "6b6af4cf-5479-49ae-bce5-05ffc339b7ff/2025-03-06_10-45-51_client_secret_175293191484-6l5jto6uev1c4vjk7fac7g0vg6f6lh3l.apps.googleusercontent.com.json", + "fileTypes": [ + "json" + ], + "list": false, + "required": true, + "placeholder": "", + "show": true, + "name": "oauth_credentials", + "value": "", + "display_name": "Credentials File", + "advanced": false, + "dynamic": false, + "info": "Input OAuth Credentials file (e.g. credentials.json).", + "title_case": false, + "type": "file", + "_input_type": "FileInput" + }, + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "import json\nimport re\nfrom pathlib import Path\n\nfrom google.auth.transport.requests import Request\nfrom google.oauth2.credentials import Credentials\nfrom google_auth_oauthlib.flow import InstalledAppFlow\n\nfrom langflow.custom import Component\nfrom langflow.io import FileInput, MultilineInput, Output\nfrom langflow.schema import Data\n\n\nclass GoogleOAuthToken(Component):\n display_name = \"Google OAuth Token\"\n description = \"Generates a JSON string with your Google OAuth token.\"\n documentation: str = \"https://developers.google.com/identity/protocols/oauth2/web-server?hl=pt-br#python_1\"\n icon = \"Google\"\n name = \"GoogleOAuthToken\"\n\n inputs = [\n MultilineInput(\n name=\"scopes\",\n display_name=\"Scopes\",\n info=\"Input scopes for your application.\",\n required=True,\n ),\n FileInput(\n name=\"oauth_credentials\",\n display_name=\"Credentials File\",\n info=\"Input OAuth Credentials file (e.g. credentials.json).\",\n file_types=[\"json\"],\n required=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Output\", name=\"output\", method=\"build_output\"),\n ]\n\n def validate_scopes(self, scopes):\n pattern = (\n r\"^(https://www\\.googleapis\\.com/auth/[\\w\\.\\-]+\"\n r\"|mail\\.google\\.com/\"\n r\"|www\\.google\\.com/calendar/feeds\"\n r\"|www\\.google\\.com/m8/feeds)\"\n r\"(,\\s*https://www\\.googleapis\\.com/auth/[\\w\\.\\-]+\"\n r\"|mail\\.google\\.com/\"\n r\"|www\\.google\\.com/calendar/feeds\"\n r\"|www\\.google\\.com/m8/feeds)*$\"\n )\n if not re.match(pattern, scopes):\n error_message = \"Invalid scope format.\"\n raise ValueError(error_message)\n\n def build_output(self) -> Data:\n self.validate_scopes(self.scopes)\n\n user_scopes = [scope.strip() for scope in self.scopes.split(\",\")]\n if self.scopes:\n scopes = user_scopes\n else:\n error_message = \"Incorrect scope, check the scopes field.\"\n raise ValueError(error_message)\n\n creds = None\n token_path = Path(\"token.json\")\n\n if token_path.exists():\n with token_path.open(mode=\"r\", encoding=\"utf-8\") as token_file:\n creds = Credentials.from_authorized_user_file(\n str(token_path), scopes)\n\n if not creds or not creds.valid:\n if creds and creds.expired and creds.refresh_token:\n creds.refresh(Request())\n else:\n if self.oauth_credentials:\n client_secret_file = self.oauth_credentials\n else:\n error_message = \"OAuth 2.0 Credentials file not provided.\"\n raise ValueError(error_message)\n\n flow = InstalledAppFlow.from_client_secrets_file(\n client_secret_file, scopes)\n creds = flow.run_local_server(port=0)\n\n with token_path.open(mode=\"w\", encoding=\"utf-8\") as token_file:\n token_file.write(creds.to_json())\n\n creds_json = json.loads(creds.to_json())\n\n return Data(data=creds_json)\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "scopes": { + "trace_as_input": true, + "multiline": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "required": true, + "placeholder": "", + "show": true, + "name": "scopes", + "value": "https://www.googleapis.com/auth/drive.readonly", + "display_name": "Scopes", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "Input scopes for your application.", + "title_case": false, + "type": "str", + "_input_type": "MultilineInput" + } + }, + "description": "Generates a JSON string with your Google OAuth token.", + "icon": "Google", + "base_classes": [ + "Data" + ], + "display_name": "Google OAuth Token", + "documentation": "https://developers.google.com/identity/protocols/oauth2/web-server?hl=pt-br#python_1", + "custom_fields": {}, + "output_types": [], + "pinned": false, + "conditional_paths": [], + "frozen": false, + "outputs": [ + { + "types": [ + "Data" + ], + "selected": "Data", + "name": "output", + "display_name": "Output", + "method": "build_output", + "value": "__UNDEFINED__", + "cache": true + } + ], + "field_order": [ + "scopes", + "oauth_credentials" + ], + "beta": false, + "edited": true, + "metadata": {}, + "lf_version": "1.2.0" + }, + "type": "GoogleOAuthToken", + "id": "GoogleOAuthToken-GALPA", + "description": "A component to generate a json string containing your Google OAuth token.", + "display_name": "Google OAuth Token" + }, + "selected": false, + "measured": { + "width": 320, + "height": 329 + } + }, + { + "id": "JSONCleaner-X6dTW", + "type": "genericNode", + "position": { + "x": 1303.7446232372538, + "y": 118.17675293242377 + }, + "data": { + "node": { + "template": { + "_type": "Component", + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "import json\nimport unicodedata\n\nfrom langflow.custom import Component\nfrom langflow.inputs import BoolInput, MessageTextInput\nfrom langflow.schema.message import Message\nfrom langflow.template import Output\n\n\nclass JSONCleaner(Component):\n icon = \"braces\"\n display_name = \"JSON Cleaner\"\n description = (\n \"Cleans the messy and sometimes incorrect JSON strings produced by LLMs \"\n \"so that they are fully compliant with the JSON spec.\"\n )\n\n inputs = [\n MessageTextInput(\n name=\"json_str\", display_name=\"JSON String\", info=\"The JSON string to be cleaned.\", required=True\n ),\n BoolInput(\n name=\"remove_control_chars\",\n display_name=\"Remove Control Characters\",\n info=\"Remove control characters from the JSON string.\",\n required=False,\n ),\n BoolInput(\n name=\"normalize_unicode\",\n display_name=\"Normalize Unicode\",\n info=\"Normalize Unicode characters in the JSON string.\",\n required=False,\n ),\n BoolInput(\n name=\"validate_json\",\n display_name=\"Validate JSON\",\n info=\"Validate the JSON string to ensure it is well-formed.\",\n required=False,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Cleaned JSON String\", name=\"output\", method=\"clean_json\"),\n ]\n\n def clean_json(self) -> Message:\n try:\n from json_repair import repair_json\n except ImportError as e:\n msg = \"Could not import the json_repair package. Please install it with `pip install json_repair`.\"\n raise ImportError(msg) from e\n\n \"\"\"Clean the input JSON string based on provided options and return the cleaned JSON string.\"\"\"\n json_str = self.json_str\n remove_control_chars = self.remove_control_chars\n normalize_unicode = self.normalize_unicode\n validate_json = self.validate_json\n\n start = json_str.find(\"{\")\n end = json_str.rfind(\"}\")\n if start == -1 or end == -1:\n msg = \"Invalid JSON string: Missing '{' or '}'\"\n raise ValueError(msg)\n try:\n json_str = json_str[start : end + 1]\n\n if remove_control_chars:\n json_str = self._remove_control_characters(json_str)\n if normalize_unicode:\n json_str = self._normalize_unicode(json_str)\n if validate_json:\n json_str = self._validate_json(json_str)\n\n cleaned_json_str = repair_json(json_str)\n result = str(cleaned_json_str)\n\n self.status = result\n return Message(text=result)\n except Exception as e:\n msg = f\"Error cleaning JSON string: {e}\"\n raise ValueError(msg) from e\n\n def _remove_control_characters(self, s: str) -> str:\n \"\"\"Remove control characters from the string.\"\"\"\n return s.translate(self.translation_table)\n\n def _normalize_unicode(self, s: str) -> str:\n \"\"\"Normalize Unicode characters in the string.\"\"\"\n return unicodedata.normalize(\"NFC\", s)\n\n def _validate_json(self, s: str) -> str:\n \"\"\"Validate the JSON string.\"\"\"\n try:\n json.loads(s)\n except json.JSONDecodeError as e:\n msg = f\"Invalid JSON string: {e}\"\n raise ValueError(msg) from e\n return s\n\n def __init__(self, *args, **kwargs):\n # Create a translation table that maps control characters to None\n super().__init__(*args, **kwargs)\n self.translation_table = str.maketrans(\"\", \"\", \"\".join(chr(i) for i in range(32)) + chr(127))\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "json_str": { + "tool_mode": false, + "trace_as_input": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": true, + "placeholder": "", + "show": true, + "name": "json_str", + "value": "", + "display_name": "JSON String", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "The JSON string to be cleaned.", + "title_case": false, + "type": "str", + "_input_type": "MessageTextInput" + }, + "normalize_unicode": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "normalize_unicode", + "value": true, + "display_name": "Normalize Unicode", + "advanced": false, + "dynamic": false, + "info": "Normalize Unicode characters in the JSON string.", + "title_case": false, + "type": "bool", + "_input_type": "BoolInput", + "load_from_db": false + }, + "remove_control_chars": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "remove_control_chars", + "value": false, + "display_name": "Remove Control Characters", + "advanced": false, + "dynamic": false, + "info": "Remove control characters from the JSON string.", + "title_case": false, + "type": "bool", + "_input_type": "BoolInput" + }, + "validate_json": { + "tool_mode": false, + "trace_as_metadata": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "validate_json", + "value": false, + "display_name": "Validate JSON", + "advanced": false, + "dynamic": false, + "info": "Validate the JSON string to ensure it is well-formed.", + "title_case": false, + "type": "bool", + "_input_type": "BoolInput" + } + }, + "description": "Cleans the messy and sometimes incorrect JSON strings produced by LLMs so that they are fully compliant with the JSON spec.", + "icon": "braces", + "base_classes": [ + "Message" + ], + "display_name": "JSON Cleaner", + "documentation": "", + "minimized": false, + "custom_fields": {}, + "output_types": [], + "pinned": false, + "conditional_paths": [], + "frozen": false, + "outputs": [ + { + "types": [ + "Message" + ], + "selected": "Message", + "name": "output", + "hidden": null, + "display_name": "Cleaned JSON String", + "method": "clean_json", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": null, + "allows_loop": false, + "tool_mode": true + } + ], + "field_order": [ + "json_str", + "remove_control_chars", + "normalize_unicode", + "validate_json" + ], + "beta": false, + "legacy": false, + "edited": false, + "metadata": {}, + "tool_mode": false, + "lf_version": "1.2.0" + }, + "type": "JSONCleaner", + "id": "JSONCleaner-X6dTW", + "description": "Cleans the messy and sometimes incorrect JSON strings produced by LLMs so that they are fully compliant with the JSON spec.", + "display_name": "JSON Cleaner" + }, + "selected": false, + "measured": { + "width": 320, + "height": 395 + } + }, + { + "id": "Prompt-VTLxA", + "type": "genericNode", + "position": { + "x": 2603.5288170777358, + "y": 168.30400541077603 + }, + "data": { + "node": { + "template": { + "_type": "Component", + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.inputs.inputs import DefaultPromptField\nfrom langflow.io import MessageTextInput, Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n trace_type = \"prompt\"\n name = \"Prompt\"\n\n inputs = [\n PromptInput(name=\"template\", display_name=\"Template\"),\n MessageTextInput(\n name=\"tool_placeholder\",\n display_name=\"Tool Placeholder\",\n tool_mode=True,\n advanced=True,\n info=\"A placeholder input for tool mode.\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n ]\n\n async def build_prompt(self) -> Message:\n prompt = Message.from_template(**self._attributes)\n self.status = prompt.text\n return prompt\n\n def _update_template(self, frontend_node: dict):\n prompt_template = frontend_node[\"template\"][\"template\"][\"value\"]\n custom_fields = frontend_node[\"custom_fields\"]\n frontend_node_template = frontend_node[\"template\"]\n _ = process_prompt_template(\n template=prompt_template,\n name=\"template\",\n custom_fields=custom_fields,\n frontend_node_template=frontend_node_template,\n )\n return frontend_node\n\n async def update_frontend_node(self, new_frontend_node: dict, current_frontend_node: dict):\n \"\"\"This function is called after the code validation is done.\"\"\"\n frontend_node = await super().update_frontend_node(new_frontend_node, current_frontend_node)\n template = frontend_node[\"template\"][\"template\"][\"value\"]\n # Kept it duplicated for backwards compatibility\n _ = process_prompt_template(\n template=template,\n name=\"template\",\n custom_fields=frontend_node[\"custom_fields\"],\n frontend_node_template=frontend_node[\"template\"],\n )\n # Now that template is updated, we need to grab any values that were set in the current_frontend_node\n # and update the frontend_node with those values\n update_template_values(new_template=frontend_node, previous_template=current_frontend_node[\"template\"])\n return frontend_node\n\n def _get_fallback_input(self, **kwargs):\n return DefaultPromptField(**kwargs)\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "template": { + "tool_mode": false, + "trace_as_input": true, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "template", + "value": "{context}\n\nTranslate the text you receive into Spanish!", + "display_name": "Template", + "advanced": false, + "dynamic": false, + "info": "", + "title_case": false, + "type": "prompt", + "_input_type": "PromptInput", + "load_from_db": false + }, + "tool_placeholder": { + "tool_mode": true, + "trace_as_input": true, + "trace_as_metadata": true, + "load_from_db": false, + "list": false, + "list_add_label": "Add More", + "required": false, + "placeholder": "", + "show": true, + "name": "tool_placeholder", + "value": "", + "display_name": "Tool Placeholder", + "advanced": true, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "A placeholder input for tool mode.", + "title_case": false, + "type": "str", + "_input_type": "MessageTextInput" + }, + "context": { + "field_type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "", + "fileTypes": [], + "file_path": "", + "name": "context", + "display_name": "context", + "advanced": false, + "input_types": [ + "Message" + ], + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "type": "str" + } + }, + "description": "Create a prompt template with dynamic variables.", + "icon": "prompts", + "base_classes": [ + "Message" + ], + "display_name": "Prompt", + "documentation": "", + "minimized": false, + "custom_fields": { + "template": [ + "context" + ] + }, + "output_types": [], + "pinned": false, + "conditional_paths": [], + "frozen": false, + "outputs": [ + { + "types": [ + "Message" + ], + "selected": "Message", + "name": "prompt", + "hidden": null, + "display_name": "Prompt Message", + "method": "build_prompt", + "value": "__UNDEFINED__", + "cache": true, + "required_inputs": null, + "allows_loop": false, + "tool_mode": true + } + ], + "field_order": [ + "template", + "tool_placeholder" + ], + "beta": false, + "legacy": false, + "edited": false, + "metadata": {}, + "tool_mode": false + }, + "type": "Prompt", + "id": "Prompt-VTLxA", + "description": "Create a prompt template with dynamic variables.", + "display_name": "Prompt" + }, + "selected": false, + "measured": { + "width": 320, + "height": 337 + } + } + ], + "edges": [ + { + "source": "GoogleDriveComponent-jygsG", + "target": "ParseData-oks0N", + "sourceHandle": "{œdataTypeœ:œGoogleDriveComponentœ,œidœ:œGoogleDriveComponent-jygsGœ,œnameœ:œdocsœ,œoutput_typesœ:[œDataœ]}", + "targetHandle": "{œfieldNameœ:œdataœ,œidœ:œParseData-oks0Nœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}", + "id": "reactflow__edge-GoogleDriveComponent-jygsG{œdataTypeœ:œGoogleDriveComponentœ,œidœ:œGoogleDriveComponent-jygsGœ,œnameœ:œdocsœ,œoutput_typesœ:[œDataœ]}-ParseData-oks0N{œfieldNameœ:œdataœ,œidœ:œParseData-oks0Nœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}", + "data": { + "sourceHandle": { + "dataType": "GoogleDriveComponent", + "id": "GoogleDriveComponent-jygsG", + "name": "docs", + "output_types": [ + "Data" + ] + }, + "targetHandle": { + "fieldName": "data", + "id": "ParseData-oks0N", + "inputTypes": [ + "Data" + ], + "type": "other" + } + }, + "selected": false, + "animated": false + }, + { + "source": "GoogleOAuthToken-GALPA", + "target": "ParseData-rMSd8", + "sourceHandle": "{œdataTypeœ:œGoogleOAuthTokenœ,œidœ:œGoogleOAuthToken-GALPAœ,œnameœ:œoutputœ,œoutput_typesœ:[œDataœ]}", + "targetHandle": "{œfieldNameœ:œdataœ,œidœ:œParseData-rMSd8œ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}", + "id": "reactflow__edge-GoogleOAuthToken-GALPA{œdataTypeœ:œGoogleOAuthTokenœ,œidœ:œGoogleOAuthToken-GALPAœ,œnameœ:œoutputœ,œoutput_typesœ:[œDataœ]}-ParseData-rMSd8{œfieldNameœ:œdataœ,œidœ:œParseData-rMSd8œ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}", + "data": { + "sourceHandle": { + "dataType": "GoogleOAuthToken", + "id": "GoogleOAuthToken-GALPA", + "name": "output", + "output_types": [ + "Data" + ] + }, + "targetHandle": { + "fieldName": "data", + "id": "ParseData-rMSd8", + "inputTypes": [ + "Data" + ], + "type": "other" + } + }, + "selected": false, + "animated": false + }, + { + "source": "ParseData-rMSd8", + "target": "JSONCleaner-X6dTW", + "sourceHandle": "{œdataTypeœ:œParseDataœ,œidœ:œParseData-rMSd8œ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}", + "targetHandle": "{œfieldNameœ:œjson_strœ,œidœ:œJSONCleaner-X6dTWœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", + "id": "reactflow__edge-ParseData-rMSd8{œdataTypeœ:œParseDataœ,œidœ:œParseData-rMSd8œ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-JSONCleaner-X6dTW{œfieldNameœ:œjson_strœ,œidœ:œJSONCleaner-X6dTWœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", + "data": { + "sourceHandle": { + "dataType": "ParseData", + "id": "ParseData-rMSd8", + "name": "text", + "output_types": [ + "Message" + ] + }, + "targetHandle": { + "fieldName": "json_str", + "id": "JSONCleaner-X6dTW", + "inputTypes": [ + "Message" + ], + "type": "str" + } + }, + "selected": false, + "animated": false + }, + { + "source": "JSONCleaner-X6dTW", + "target": "GoogleDriveComponent-jygsG", + "sourceHandle": "{œdataTypeœ:œJSONCleanerœ,œidœ:œJSONCleaner-X6dTWœ,œnameœ:œoutputœ,œoutput_typesœ:[œMessageœ]}", + "targetHandle": "{œfieldNameœ:œjson_stringœ,œidœ:œGoogleDriveComponent-jygsGœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", + "id": "reactflow__edge-JSONCleaner-X6dTW{œdataTypeœ:œJSONCleanerœ,œidœ:œJSONCleaner-X6dTWœ,œnameœ:œoutputœ,œoutput_typesœ:[œMessageœ]}-GoogleDriveComponent-jygsG{œfieldNameœ:œjson_stringœ,œidœ:œGoogleDriveComponent-jygsGœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", + "data": { + "sourceHandle": { + "dataType": "JSONCleaner", + "id": "JSONCleaner-X6dTW", + "name": "output", + "output_types": [ + "Message" + ] + }, + "targetHandle": { + "fieldName": "json_string", + "id": "GoogleDriveComponent-jygsG", + "inputTypes": [ + "Message" + ], + "type": "str" + } + }, + "selected": false, + "animated": false + }, + { + "source": "Prompt-VTLxA", + "target": "OpenAIModel-WVeab", + "sourceHandle": "{œdataTypeœ:œPromptœ,œidœ:œPrompt-VTLxAœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-WVeabœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", + "id": "reactflow__edge-Prompt-VTLxA{œdataTypeœ:œPromptœ,œidœ:œPrompt-VTLxAœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-WVeab{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-WVeabœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", + "data": { + "sourceHandle": { + "dataType": "Prompt", + "id": "Prompt-VTLxA", + "name": "prompt", + "output_types": [ + "Message" + ] + }, + "targetHandle": { + "fieldName": "input_value", + "id": "OpenAIModel-WVeab", + "inputTypes": [ + "Message" + ], + "type": "str" + } + }, + "selected": false, + "animated": false + }, + { + "source": "OpenAIModel-WVeab", + "target": "ChatOutput-bDqcn", + "sourceHandle": "{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-WVeabœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-bDqcnœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œotherœ}", + "id": "reactflow__edge-OpenAIModel-WVeab{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-WVeabœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-bDqcn{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-bDqcnœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œotherœ}", + "data": { + "sourceHandle": { + "dataType": "OpenAIModel", + "id": "OpenAIModel-WVeab", + "name": "text_output", + "output_types": [ + "Message" + ] + }, + "targetHandle": { + "fieldName": "input_value", + "id": "ChatOutput-bDqcn", + "inputTypes": [ + "Data", + "DataFrame", + "Message" + ], + "type": "other" + } + }, + "selected": false, + "animated": false + }, + { + "source": "ParseData-oks0N", + "target": "Prompt-VTLxA", + "sourceHandle": "{œdataTypeœ:œParseDataœ,œidœ:œParseData-oks0Nœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}", + "targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-VTLxAœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", + "id": "reactflow__edge-ParseData-oks0N{œdataTypeœ:œParseDataœ,œidœ:œParseData-oks0Nœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-VTLxA{œfieldNameœ:œcontextœ,œidœ:œPrompt-VTLxAœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", + "data": { + "sourceHandle": { + "dataType": "ParseData", + "id": "ParseData-oks0N", + "name": "text", + "output_types": [ + "Message" + ] + }, + "targetHandle": { + "fieldName": "context", + "id": "Prompt-VTLxA", + "inputTypes": [ + "Message" + ], + "type": "str" + } + }, + "selected": false, + "animated": false + } + ], + "viewport": { + "x": 64.13391804241229, + "y": 126.91202290205894, + "zoom": 0.8231388776345974 + } + }, + "description": "Create Powerful Connections, Boost Business Value.", + "name": "Google_Drive", + "last_tested_version": "1.2.0", + "endpoint_name": null, + "is_component": false +} \ No newline at end of file diff --git a/docs/static/files/Google_Drive_Docs_Translations_Example.json b/docs/static/files/Google_Drive_Docs_Translations_Example.json deleted file mode 100644 index ca3c6dc7b..000000000 --- a/docs/static/files/Google_Drive_Docs_Translations_Example.json +++ /dev/null @@ -1,1580 +0,0 @@ -{ - "id": "bc2cbf16-ed92-4ef6-a4a5-1526af21d044", - "data": { - "nodes": [ - { - "id": "ParseData-LFq8b", - "type": "genericNode", - "position": { - "x": 1068.0112494649502, - "y": 237.00462961615915 - }, - "data": { - "type": "ParseData", - "node": { - "template": { - "_type": "Component", - "data": { - "trace_as_metadata": true, - "list": false, - "trace_as_input": true, - "required": false, - "placeholder": "", - "show": true, - "name": "data", - "value": "", - "display_name": "Data", - "advanced": false, - "input_types": [ - "Data" - ], - "dynamic": false, - "info": "The data to convert to text.", - "title_case": false, - "type": "other", - "_input_type": "DataInput" - }, - "code": { - "type": "code", - "required": true, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n ]\n\n def parse_data(self) -> Message:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n\n result_string = data_to_text(template, data, sep=self.sep)\n self.status = result_string\n return Message(text=result_string)\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "sep": { - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "sep", - "value": "\n", - "display_name": "Separator", - "advanced": true, - "dynamic": false, - "info": "", - "title_case": false, - "type": "str", - "_input_type": "StrInput" - }, - "template": { - "trace_as_input": true, - "multiline": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "template", - "value": "{data}", - "display_name": "Template", - "advanced": false, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.", - "title_case": false, - "type": "str", - "_input_type": "MultilineInput" - } - }, - "description": "Convert Data into plain text following a specified template.", - "icon": "braces", - "base_classes": [ - "Message" - ], - "display_name": "Parse Data", - "documentation": "", - "custom_fields": {}, - "output_types": [], - "pinned": false, - "conditional_paths": [], - "frozen": false, - "outputs": [ - { - "types": [ - "Message" - ], - "selected": "Message", - "name": "text", - "display_name": "Text", - "method": "parse_data", - "value": "__UNDEFINED__", - "cache": true - } - ], - "field_order": [ - "data", - "template", - "sep" - ], - "beta": false, - "edited": false, - "metadata": {}, - "lf_version": "1.0.19.post2" - }, - "id": "ParseData-LFq8b" - }, - "selected": false, - "width": 384, - "height": 353, - "positionAbsolute": { - "x": 1068.0112494649502, - "y": 237.00462961615915 - }, - "dragging": false - }, - { - "id": "GoogleDriveComponent-x1jHz", - "type": "genericNode", - "position": { - "x": 1919.003246541804, - "y": 230.60766717987485 - }, - "data": { - "type": "GoogleDriveComponent", - "node": { - "template": { - "_type": "Component", - "code": { - "type": "code", - "required": true, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "import json\nfrom json.decoder import JSONDecodeError\n\nfrom google.auth.exceptions import RefreshError\nfrom google.oauth2.credentials import Credentials\nfrom langchain_google_community import GoogleDriveLoader\n\nfrom langflow.custom import Component\nfrom langflow.helpers.data import docs_to_data\nfrom langflow.inputs import MessageTextInput\nfrom langflow.io import SecretStrInput\nfrom langflow.schema import Data\nfrom langflow.template import Output\n\n\nclass GoogleDriveComponent(Component):\n display_name = \"Google Drive Loader\"\n description = \"Loads documents from Google Drive using provided credentials.\"\n icon = \"Google\"\n\n inputs = [\n SecretStrInput(\n name=\"json_string\",\n display_name=\"JSON String of the Service Account Token\",\n info=\"JSON string containing OAuth 2.0 access token information for service account access\",\n required=True,\n ),\n MessageTextInput(\n name=\"document_id\", display_name=\"Document ID\", info=\"Single Google Drive document ID\", required=True\n ),\n ]\n\n outputs = [\n Output(display_name=\"Loaded Documents\", name=\"docs\", method=\"load_documents\"),\n ]\n\n def load_documents(self) -> Data:\n class CustomGoogleDriveLoader(GoogleDriveLoader):\n creds: Credentials | None = None\n \"\"\"Credentials object to be passed directly.\"\"\"\n\n def _load_credentials(self):\n \"\"\"Load credentials from the provided creds attribute or fallback to the original method.\"\"\"\n if self.creds:\n return self.creds\n msg = \"No credentials provided.\"\n raise ValueError(msg)\n\n class Config:\n arbitrary_types_allowed = True\n\n json_string = self.json_string\n\n document_ids = [self.document_id]\n if len(document_ids) != 1:\n msg = \"Expected a single document ID\"\n raise ValueError(msg)\n\n # TODO: Add validation to check if the document ID is valid\n\n # Load the token information from the JSON string\n try:\n token_info = json.loads(json_string)\n except JSONDecodeError as e:\n msg = \"Invalid JSON string\"\n raise ValueError(msg) from e\n\n # Initialize the custom loader with the provided credentials and document IDs\n loader = CustomGoogleDriveLoader(\n creds=Credentials.from_authorized_user_info(token_info), document_ids=document_ids\n )\n\n # Load the documents\n try:\n docs = loader.load()\n # catch google.auth.exceptions.RefreshError\n except RefreshError as e:\n msg = \"Authentication error: Unable to refresh authentication token. Please try to reauthenticate.\"\n raise ValueError(msg) from e\n except Exception as e:\n msg = f\"Error loading documents: {e}\"\n raise ValueError(msg) from e\n\n assert len(docs) == 1, \"Expected a single document to be loaded.\"\n\n data = docs_to_data(docs)\n # Return the loaded documents\n self.status = data\n return Data(data={\"text\": data})\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "document_id": { - "trace_as_input": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": true, - "placeholder": "", - "show": true, - "name": "document_id", - "value": "YOUR-DOCUMENT-ID-HERE", - "display_name": "Document ID", - "advanced": false, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "Single Google Drive document ID", - "title_case": false, - "type": "str", - "_input_type": "MessageTextInput" - }, - "json_string": { - "load_from_db": true, - "required": true, - "placeholder": "", - "show": true, - "name": "json_string", - "value": "", - "display_name": "JSON String of the Service Account Token", - "advanced": false, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "JSON string containing OAuth 2.0 access token information for service account access", - "title_case": false, - "password": true, - "type": "str", - "_input_type": "SecretStrInput" - } - }, - "description": "Loads documents from Google Drive using provided credentials.", - "icon": "Google", - "base_classes": [ - "Data" - ], - "display_name": "Google Drive Loader", - "documentation": "", - "custom_fields": {}, - "output_types": [], - "pinned": false, - "conditional_paths": [], - "frozen": false, - "outputs": [ - { - "types": [ - "Data" - ], - "selected": "Data", - "name": "docs", - "display_name": "Loaded Documents", - "method": "load_documents", - "value": "__UNDEFINED__", - "cache": true - } - ], - "field_order": [ - "json_string", - "document_id" - ], - "beta": false, - "edited": false, - "metadata": {}, - "lf_version": "1.0.19.post2" - }, - "id": "GoogleDriveComponent-x1jHz", - "description": "Loads documents from Google Drive using provided credentials.", - "display_name": "Google Drive Loader" - }, - "selected": false, - "width": 384, - "height": 389, - "positionAbsolute": { - "x": 1919.003246541804, - "y": 230.60766717987485 - }, - "dragging": false - }, - { - "id": "ParseData-7qhmP", - "type": "genericNode", - "position": { - "x": 2341.9094676839277, - "y": 249.73963276782303 - }, - "data": { - "type": "ParseData", - "node": { - "template": { - "_type": "Component", - "data": { - "trace_as_metadata": true, - "list": false, - "trace_as_input": true, - "required": false, - "placeholder": "", - "show": true, - "name": "data", - "value": "", - "display_name": "Data", - "advanced": false, - "input_types": [ - "Data" - ], - "dynamic": false, - "info": "The data to convert to text.", - "title_case": false, - "type": "other", - "_input_type": "DataInput" - }, - "code": { - "type": "code", - "required": true, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n ]\n\n def parse_data(self) -> Message:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n\n result_string = data_to_text(template, data, sep=self.sep)\n self.status = result_string\n return Message(text=result_string)\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "sep": { - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "sep", - "value": "\n", - "display_name": "Separator", - "advanced": true, - "dynamic": false, - "info": "", - "title_case": false, - "type": "str", - "_input_type": "StrInput" - }, - "template": { - "trace_as_input": true, - "multiline": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "template", - "value": "{text}", - "display_name": "Template", - "advanced": false, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.", - "title_case": false, - "type": "str", - "_input_type": "MultilineInput" - } - }, - "description": "Convert Data into plain text following a specified template.", - "icon": "braces", - "base_classes": [ - "Message" - ], - "display_name": "Parse Data", - "documentation": "", - "custom_fields": {}, - "output_types": [], - "pinned": false, - "conditional_paths": [], - "frozen": false, - "outputs": [ - { - "types": [ - "Message" - ], - "selected": "Message", - "name": "text", - "display_name": "Text", - "method": "parse_data", - "value": "__UNDEFINED__", - "cache": true - } - ], - "field_order": [ - "data", - "template", - "sep" - ], - "beta": false, - "edited": false, - "metadata": {}, - "lf_version": "1.0.19.post2" - }, - "id": "ParseData-7qhmP" - }, - "selected": false, - "width": 384, - "height": 353, - "positionAbsolute": { - "x": 2341.9094676839277, - "y": 249.73963276782303 - }, - "dragging": false - }, - { - "id": "OpenAIModel-YUM1a", - "type": "genericNode", - "position": { - "x": 3231.963340176361, - "y": 94.70653241512102 - }, - "data": { - "type": "OpenAIModel", - "node": { - "template": { - "_type": "Component", - "output_parser": { - "trace_as_metadata": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "output_parser", - "value": "", - "display_name": "Output Parser", - "advanced": true, - "input_types": [ - "OutputParser" - ], - "dynamic": false, - "info": "The parser to use to parse the output of the model", - "title_case": false, - "type": "other", - "_input_type": "HandleInput" - }, - "api_key": { - "load_from_db": true, - "required": false, - "placeholder": "", - "show": true, - "name": "api_key", - "value": "", - "display_name": "OpenAI API Key", - "advanced": false, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "The OpenAI API Key to use for the OpenAI model.", - "title_case": false, - "password": true, - "type": "str", - "_input_type": "SecretStrInput" - }, - "code": { - "type": "code", - "required": true, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import OPENAI_MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.field_typing.range_spec import RangeSpec\nfrom langflow.inputs import (\n BoolInput,\n DictInput,\n DropdownInput,\n FloatInput,\n IntInput,\n SecretStrInput,\n StrInput,\n)\nfrom langflow.inputs.inputs import HandleInput\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n name = \"OpenAIModel\"\n\n inputs = [\n *LCModelComponent._base_inputs,\n IntInput(\n name=\"max_tokens\",\n display_name=\"Max Tokens\",\n advanced=True,\n info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n range_spec=RangeSpec(min=0, max=128000),\n ),\n DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n BoolInput(\n name=\"json_mode\",\n display_name=\"JSON Mode\",\n advanced=True,\n info=\"If True, it will output JSON regardless of passing a schema.\",\n ),\n DictInput(\n name=\"output_schema\",\n is_list=True,\n display_name=\"Schema\",\n advanced=True,\n info=\"The schema for the Output of the model. \"\n \"You must pass the word JSON in the prompt. \"\n \"If left blank, JSON mode will be disabled.\",\n ),\n DropdownInput(\n name=\"model_name\",\n display_name=\"Model Name\",\n advanced=False,\n options=OPENAI_MODEL_NAMES,\n value=OPENAI_MODEL_NAMES[0],\n ),\n StrInput(\n name=\"openai_api_base\",\n display_name=\"OpenAI API Base\",\n advanced=True,\n info=\"The base URL of the OpenAI API. \"\n \"Defaults to https://api.openai.com/v1. \"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n ),\n SecretStrInput(\n name=\"api_key\",\n display_name=\"OpenAI API Key\",\n info=\"The OpenAI API Key to use for the OpenAI model.\",\n advanced=False,\n value=\"OPENAI_API_KEY\",\n ),\n FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n IntInput(\n name=\"seed\",\n display_name=\"Seed\",\n info=\"The seed controls the reproducibility of the job.\",\n advanced=True,\n value=1,\n ),\n HandleInput(\n name=\"output_parser\",\n display_name=\"Output Parser\",\n info=\"The parser to use to parse the output of the model\",\n advanced=True,\n input_types=[\"OutputParser\"],\n ),\n ]\n\n def build_model(self) -> LanguageModel: # type: ignore[type-var]\n # self.output_schema is a list of dictionaries\n # let's convert it to a dictionary\n output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})\n openai_api_key = self.api_key\n temperature = self.temperature\n model_name: str = self.model_name\n max_tokens = self.max_tokens\n model_kwargs = self.model_kwargs or {}\n openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n json_mode = bool(output_schema_dict) or self.json_mode\n seed = self.seed\n\n api_key = SecretStr(openai_api_key) if openai_api_key else None\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature if temperature is not None else 0.1,\n seed=seed,\n )\n if json_mode:\n if output_schema_dict:\n output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\")\n else:\n output = output.bind(response_format={\"type\": \"json_object\"})\n\n return output\n\n def _get_exception_message(self, e: Exception):\n \"\"\"\n Get a message from an OpenAI exception.\n\n Args:\n exception (Exception): The exception to get the message from.\n\n Returns:\n str: The message from the exception.\n \"\"\"\n\n try:\n from openai import BadRequestError\n except ImportError:\n return None\n if isinstance(e, BadRequestError):\n message = e.body.get(\"message\")\n if message:\n return message\n return None\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "input_value": { - "trace_as_input": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "input_value", - "value": "", - "display_name": "Input", - "advanced": false, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "", - "title_case": false, - "type": "str", - "_input_type": "MessageInput" - }, - "json_mode": { - "trace_as_metadata": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "json_mode", - "value": false, - "display_name": "JSON Mode", - "advanced": true, - "dynamic": false, - "info": "If True, it will output JSON regardless of passing a schema.", - "title_case": false, - "type": "bool", - "_input_type": "BoolInput" - }, - "max_tokens": { - "trace_as_metadata": true, - "range_spec": { - "step_type": "float", - "min": 0, - "max": 128000, - "step": 0.1 - }, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "max_tokens", - "value": "", - "display_name": "Max Tokens", - "advanced": true, - "dynamic": false, - "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", - "title_case": false, - "type": "int", - "_input_type": "IntInput" - }, - "model_kwargs": { - "trace_as_input": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "model_kwargs", - "value": {}, - "display_name": "Model Kwargs", - "advanced": true, - "dynamic": false, - "info": "", - "title_case": false, - "type": "dict", - "_input_type": "DictInput" - }, - "model_name": { - "trace_as_metadata": true, - "options": [ - "gpt-4o-mini", - "gpt-4o", - "gpt-4-turbo", - "gpt-4-turbo-preview", - "gpt-4", - "gpt-3.5-turbo", - "gpt-3.5-turbo-0125" - ], - "combobox": false, - "required": false, - "placeholder": "", - "show": true, - "name": "model_name", - "value": "gpt-4o-mini", - "display_name": "Model Name", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "type": "str", - "_input_type": "DropdownInput" - }, - "openai_api_base": { - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "openai_api_base", - "value": "", - "display_name": "OpenAI API Base", - "advanced": true, - "dynamic": false, - "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.", - "title_case": false, - "type": "str", - "_input_type": "StrInput" - }, - "output_schema": { - "trace_as_input": true, - "list": true, - "required": false, - "placeholder": "", - "show": true, - "name": "output_schema", - "value": {}, - "display_name": "Schema", - "advanced": true, - "dynamic": false, - "info": "The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.", - "title_case": false, - "type": "dict", - "_input_type": "DictInput" - }, - "seed": { - "trace_as_metadata": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "seed", - "value": 1, - "display_name": "Seed", - "advanced": true, - "dynamic": false, - "info": "The seed controls the reproducibility of the job.", - "title_case": false, - "type": "int", - "_input_type": "IntInput" - }, - "stream": { - "trace_as_metadata": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "stream", - "value": false, - "display_name": "Stream", - "advanced": true, - "dynamic": false, - "info": "Stream the response from the model. Streaming works only in Chat.", - "title_case": false, - "type": "bool", - "_input_type": "BoolInput" - }, - "system_message": { - "trace_as_input": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "system_message", - "value": "", - "display_name": "System Message", - "advanced": true, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "System message to pass to the model.", - "title_case": false, - "type": "str", - "_input_type": "MessageTextInput" - }, - "temperature": { - "trace_as_metadata": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "temperature", - "value": 0.1, - "display_name": "Temperature", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "type": "float", - "_input_type": "FloatInput" - } - }, - "description": "Generates text using OpenAI LLMs.", - "icon": "OpenAI", - "base_classes": [ - "LanguageModel", - "Message" - ], - "display_name": "OpenAI", - "documentation": "", - "custom_fields": {}, - "output_types": [], - "pinned": false, - "conditional_paths": [], - "frozen": false, - "outputs": [ - { - "types": [ - "Message" - ], - "selected": "Message", - "name": "text_output", - "display_name": "Text", - "method": "text_response", - "value": "__UNDEFINED__", - "cache": true, - "required_inputs": [ - "input_value", - "stream", - "system_message" - ] - }, - { - "types": [ - "LanguageModel" - ], - "selected": "LanguageModel", - "name": "model_output", - "display_name": "Language Model", - "method": "build_model", - "value": "__UNDEFINED__", - "cache": true, - "required_inputs": [ - "api_key", - "json_mode", - "max_tokens", - "model_kwargs", - "model_name", - "openai_api_base", - "output_schema", - "seed", - "temperature" - ] - } - ], - "field_order": [ - "input_value", - "system_message", - "stream", - "max_tokens", - "model_kwargs", - "json_mode", - "output_schema", - "model_name", - "openai_api_base", - "api_key", - "temperature", - "seed", - "output_parser" - ], - "beta": false, - "edited": false, - "metadata": {}, - "lf_version": "1.0.19.post2" - }, - "id": "OpenAIModel-YUM1a", - "description": "Generates text using OpenAI LLMs.", - "display_name": "OpenAI" - }, - "selected": false, - "width": 384, - "height": 587, - "positionAbsolute": { - "x": 3231.963340176361, - "y": 94.70653241512102 - }, - "dragging": false - }, - { - "id": "ChatOutput-c4k0L", - "type": "genericNode", - "position": { - "x": 3669.141671875754, - "y": 248.4257650261032 - }, - "data": { - "type": "ChatOutput", - "node": { - "template": { - "_type": "Component", - "code": { - "type": "code", - "required": true, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "data_template": { - "trace_as_input": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "data_template", - "value": "{text}", - "display_name": "Data Template", - "advanced": true, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "title_case": false, - "type": "str", - "_input_type": "MessageTextInput" - }, - "input_value": { - "trace_as_input": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "input_value", - "value": "", - "display_name": "Text", - "advanced": false, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "Message to be passed as output.", - "title_case": false, - "type": "str", - "_input_type": "MessageTextInput" - }, - "sender": { - "trace_as_metadata": true, - "options": [ - "Machine", - "User" - ], - "combobox": false, - "required": false, - "placeholder": "", - "show": true, - "name": "sender", - "value": "Machine", - "display_name": "Sender Type", - "advanced": true, - "dynamic": false, - "info": "Type of sender.", - "title_case": false, - "type": "str", - "_input_type": "DropdownInput" - }, - "sender_name": { - "trace_as_input": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "sender_name", - "value": "AI", - "display_name": "Sender Name", - "advanced": true, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "Name of the sender.", - "title_case": false, - "type": "str", - "_input_type": "MessageTextInput" - }, - "session_id": { - "trace_as_input": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "session_id", - "value": "", - "display_name": "Session ID", - "advanced": true, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "title_case": false, - "type": "str", - "_input_type": "MessageTextInput" - }, - "should_store_message": { - "trace_as_metadata": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "should_store_message", - "value": true, - "display_name": "Store Messages", - "advanced": true, - "dynamic": false, - "info": "Store the message in the history.", - "title_case": false, - "type": "bool", - "_input_type": "BoolInput" - } - }, - "description": "Display a chat message in the Playground.", - "icon": "ChatOutput", - "base_classes": [ - "Message" - ], - "display_name": "Chat Output", - "documentation": "", - "custom_fields": {}, - "output_types": [], - "pinned": false, - "conditional_paths": [], - "frozen": false, - "outputs": [ - { - "types": [ - "Message" - ], - "selected": "Message", - "name": "message", - "display_name": "Message", - "method": "message_response", - "value": "__UNDEFINED__", - "cache": true - } - ], - "field_order": [ - "input_value", - "should_store_message", - "sender", - "sender_name", - "session_id", - "data_template" - ], - "beta": false, - "edited": false, - "metadata": {}, - "lf_version": "1.0.19.post2" - }, - "id": "ChatOutput-c4k0L", - "description": "Display a chat message in the Playground.", - "display_name": "Chat Output" - }, - "selected": false, - "width": 384, - "height": 289, - "positionAbsolute": { - "x": 3669.141671875754, - "y": 248.4257650261032 - }, - "dragging": false - }, - { - "id": "note-9ynW0", - "type": "noteNode", - "position": { - "x": -4, - "y": 38 - }, - "data": { - "node": { - "description": "**Google Drive Example Scopes**\n\n**Langflow - OAuth Integration Documentation**\n\n```\ndocs.langflow.org/integrations-setup-google-oauth-langflow\n```\n\n**Drive API Documentation**\n\nhttps://developers.google.com/drive/api/guides/api-specific-auth\n\n**Scope Used in This Example**\n\nPermission to view and download all your Drive files.\n\n```\nhttps://www.googleapis.com/auth/drive.readonly\n```\n\n**Example of How to Enter Scopes**\n\n```\nhttps://www.googleapis.com/auth/drive.apps.readonly, https://www.googleapis.com/auth/drive, https://www.googleapis.com/auth/drive.readonly, https://www.googleapis.com/auth/drive.activity\n```", - "display_name": "", - "documentation": "", - "template": { - "backgroundColor": "indigo" - } - }, - "type": "note", - "id": "note-9ynW0" - }, - "selected": false, - "width": 584, - "height": 673, - "dragging": false, - "style": { - "width": 584, - "height": 673 - }, - "resizing": false - }, - { - "id": "GoogleOAuthToken-piWFF", - "type": "genericNode", - "position": { - "x": 609.7629463431374, - "y": 218.39474366635045 - }, - "data": { - "node": { - "template": { - "_type": "Component", - "oauth_credentials": { - "trace_as_metadata": true, - "file_path": "bc2cbf16-ed92-4ef6-a4a5-1526af21d044/2024-11-06_15-06-14_client_secret_998884801917-hsjq3alo0vfqih74fe635k01khqi74d3.apps.googleusercontent.com.json", - "fileTypes": [ - "json" - ], - "list": false, - "required": true, - "placeholder": "", - "show": true, - "name": "oauth_credentials", - "value": "", - "display_name": "Credentials File", - "advanced": false, - "dynamic": false, - "info": "Input OAuth Credentials file (e.g. credentials.json).", - "title_case": false, - "type": "file", - "_input_type": "FileInput" - }, - "code": { - "type": "code", - "required": true, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "import json\nimport re\nfrom pathlib import Path\n\nfrom google.auth.transport.requests import Request\nfrom google.oauth2.credentials import Credentials\nfrom google_auth_oauthlib.flow import InstalledAppFlow\n\nfrom langflow.custom import Component\nfrom langflow.io import FileInput, MultilineInput, Output\nfrom langflow.schema import Data\n\n\nclass GoogleOAuthToken(Component):\n display_name = \"Google OAuth Token\"\n description = \"Generates a JSON string with your Google OAuth token.\"\n documentation: str = \"https://developers.google.com/identity/protocols/oauth2/web-server?hl=pt-br#python_1\"\n icon = \"Google\"\n name = \"GoogleOAuthToken\"\n\n inputs = [\n MultilineInput(\n name=\"scopes\",\n display_name=\"Scopes\",\n info=\"Input scopes for your application.\",\n required=True,\n ),\n FileInput(\n name=\"oauth_credentials\",\n display_name=\"Credentials File\",\n info=\"Input OAuth Credentials file (e.g. credentials.json).\",\n file_types=[\"json\"],\n required=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Output\", name=\"output\", method=\"build_output\"),\n ]\n\n def validate_scopes(self, scopes):\n pattern = (\n r\"^(https://www\\.googleapis\\.com/auth/[\\w\\.\\-]+\"\n r\"|mail\\.google\\.com/\"\n r\"|www\\.google\\.com/calendar/feeds\"\n r\"|www\\.google\\.com/m8/feeds)\"\n r\"(,\\s*https://www\\.googleapis\\.com/auth/[\\w\\.\\-]+\"\n r\"|mail\\.google\\.com/\"\n r\"|www\\.google\\.com/calendar/feeds\"\n r\"|www\\.google\\.com/m8/feeds)*$\"\n )\n if not re.match(pattern, scopes):\n error_message = \"Invalid scope format.\"\n raise ValueError(error_message)\n\n def build_output(self) -> Data:\n self.validate_scopes(self.scopes)\n\n user_scopes = [scope.strip() for scope in self.scopes.split(\",\")]\n if self.scopes:\n scopes = user_scopes\n else:\n error_message = \"Incorrect scope, check the scopes field.\"\n raise ValueError(error_message)\n\n creds = None\n token_path = Path(\"token.json\")\n\n if token_path.exists():\n with token_path.open(mode=\"r\", encoding=\"utf-8\") as token_file:\n creds = Credentials.from_authorized_user_file(\n str(token_path), scopes)\n\n if not creds or not creds.valid:\n if creds and creds.expired and creds.refresh_token:\n creds.refresh(Request())\n else:\n if self.oauth_credentials:\n client_secret_file = self.oauth_credentials\n else:\n error_message = \"OAuth 2.0 Credentials file not provided.\"\n raise ValueError(error_message)\n\n flow = InstalledAppFlow.from_client_secrets_file(\n client_secret_file, scopes)\n creds = flow.run_local_server(port=0)\n\n with token_path.open(mode=\"w\", encoding=\"utf-8\") as token_file:\n token_file.write(creds.to_json())\n\n creds_json = json.loads(creds.to_json())\n\n return Data(data=creds_json)\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "scopes": { - "trace_as_input": true, - "multiline": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": true, - "placeholder": "", - "show": true, - "name": "scopes", - "value": "https://www.googleapis.com/auth/drive.readonly", - "display_name": "Scopes", - "advanced": false, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "Input scopes for your application.", - "title_case": false, - "type": "str", - "_input_type": "MultilineInput" - } - }, - "description": "Generates a JSON string with your Google OAuth token.", - "icon": "Google", - "base_classes": [ - "Data" - ], - "display_name": "Google OAuth Token", - "documentation": "https://developers.google.com/identity/protocols/oauth2/web-server?hl=pt-br#python_1", - "custom_fields": {}, - "output_types": [], - "pinned": false, - "conditional_paths": [], - "frozen": false, - "outputs": [ - { - "types": [ - "Data" - ], - "selected": "Data", - "name": "output", - "display_name": "Output", - "method": "build_output", - "value": "__UNDEFINED__", - "cache": true - } - ], - "field_order": [ - "scopes", - "oauth_credentials" - ], - "beta": false, - "edited": true, - "metadata": {}, - "lf_version": "1.0.19.post2" - }, - "type": "GoogleOAuthToken", - "id": "GoogleOAuthToken-piWFF", - "description": "A component to generate a json string containing your Google OAuth token.", - "display_name": "Google OAuth Token" - }, - "selected": true, - "width": 384, - "height": 391, - "dragging": false, - "positionAbsolute": { - "x": 609.7629463431374, - "y": 218.39474366635045 - } - }, - { - "id": "JSONCleaner-N4p7F", - "type": "genericNode", - "position": { - "x": 1484.3316811088714, - "y": 174.88328534754476 - }, - "data": { - "node": { - "template": { - "_type": "Component", - "code": { - "type": "code", - "required": true, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "import json\nimport re\nimport unicodedata\n\nfrom langflow.custom import Component\nfrom langflow.inputs import BoolInput, MessageTextInput\nfrom langflow.schema.message import Message\nfrom langflow.template import Output\n\n\nclass JSONCleaner(Component):\n display_name = \"JSON Cleaner\"\n description = (\n \"Cleans the messy and sometimes incorrect JSON strings produced by LLMs \"\n \"so that they are fully compliant with the JSON spec.\"\n )\n icon = \"custom_components\"\n\n inputs = [\n MessageTextInput(\n name=\"json_str\", display_name=\"JSON String\", info=\"The JSON string to be cleaned.\", required=True\n ),\n BoolInput(\n name=\"remove_control_chars\",\n display_name=\"Remove Control Characters\",\n info=\"Remove control characters from the JSON string.\",\n required=False,\n ),\n BoolInput(\n name=\"normalize_unicode\",\n display_name=\"Normalize Unicode\",\n info=\"Normalize Unicode characters in the JSON string.\",\n required=False,\n ),\n BoolInput(\n name=\"validate_json\",\n display_name=\"Validate JSON\",\n info=\"Validate the JSON string to ensure it is well-formed.\",\n required=False,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Cleaned JSON String\", name=\"output\", method=\"clean_json\"),\n ]\n\n def clean_json(self) -> Message:\n try:\n from json_repair import repair_json\n except ImportError as e:\n msg = \"Could not import the json_repair package. Please install it with `pip install json_repair`.\"\n raise ImportError(msg) from e\n\n \"\"\"Clean the input JSON string based on provided options and return the cleaned JSON string.\"\"\"\n json_str = self.json_str\n remove_control_chars = self.remove_control_chars\n normalize_unicode = self.normalize_unicode\n validate_json = self.validate_json\n\n try:\n start = json_str.find(\"{\")\n end = json_str.rfind(\"}\")\n if start == -1 or end == -1:\n msg = \"Invalid JSON string: Missing '{' or '}'\"\n raise ValueError(msg)\n json_str = json_str[start : end + 1]\n\n if remove_control_chars:\n json_str = self._remove_control_characters(json_str)\n if normalize_unicode:\n json_str = self._normalize_unicode(json_str)\n if validate_json:\n json_str = self._validate_json(json_str)\n\n cleaned_json_str = repair_json(json_str)\n result = str(cleaned_json_str)\n\n self.status = result\n return Message(text=result)\n except Exception as e:\n msg = f\"Error cleaning JSON string: {e}\"\n raise ValueError(msg) from e\n\n def _remove_control_characters(self, s: str) -> str:\n \"\"\"Remove control characters from the string.\"\"\"\n return re.sub(r\"[\\x00-\\x1F\\x7F]\", \"\", s)\n\n def _normalize_unicode(self, s: str) -> str:\n \"\"\"Normalize Unicode characters in the string.\"\"\"\n return unicodedata.normalize(\"NFC\", s)\n\n def _validate_json(self, s: str) -> str:\n \"\"\"Validate the JSON string.\"\"\"\n try:\n json.loads(s)\n return s\n except json.JSONDecodeError as e:\n msg = f\"Invalid JSON string: {e}\"\n raise ValueError(msg) from e\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "json_str": { - "trace_as_input": true, - "trace_as_metadata": true, - "load_from_db": false, - "list": false, - "required": true, - "placeholder": "", - "show": true, - "name": "json_str", - "value": "", - "display_name": "JSON String", - "advanced": false, - "input_types": [ - "Message" - ], - "dynamic": false, - "info": "The JSON string to be cleaned.", - "title_case": false, - "type": "str", - "_input_type": "MessageTextInput" - }, - "normalize_unicode": { - "trace_as_metadata": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "normalize_unicode", - "value": true, - "display_name": "Normalize Unicode", - "advanced": false, - "dynamic": false, - "info": "Normalize Unicode characters in the JSON string.", - "title_case": false, - "type": "bool", - "_input_type": "BoolInput", - "load_from_db": false - }, - "remove_control_chars": { - "trace_as_metadata": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "remove_control_chars", - "value": false, - "display_name": "Remove Control Characters", - "advanced": false, - "dynamic": false, - "info": "Remove control characters from the JSON string.", - "title_case": false, - "type": "bool", - "_input_type": "BoolInput" - }, - "validate_json": { - "trace_as_metadata": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "validate_json", - "value": false, - "display_name": "Validate JSON", - "advanced": false, - "dynamic": false, - "info": "Validate the JSON string to ensure it is well-formed.", - "title_case": false, - "type": "bool", - "_input_type": "BoolInput" - } - }, - "description": "Cleans the messy and sometimes incorrect JSON strings produced by LLMs so that they are fully compliant with the JSON spec.", - "icon": "custom_components", - "base_classes": [ - "Message" - ], - "display_name": "JSON Cleaner", - "documentation": "", - "custom_fields": {}, - "output_types": [], - "pinned": false, - "conditional_paths": [], - "frozen": false, - "outputs": [ - { - "types": [ - "Message" - ], - "selected": "Message", - "name": "output", - "display_name": "Cleaned JSON String", - "method": "clean_json", - "value": "__UNDEFINED__", - "cache": true - } - ], - "field_order": [ - "json_str", - "remove_control_chars", - "normalize_unicode", - "validate_json" - ], - "beta": false, - "edited": false, - "metadata": {}, - "lf_version": "1.0.19.post2" - }, - "type": "JSONCleaner", - "id": "JSONCleaner-N4p7F", - "description": "Cleans the messy and sometimes incorrect JSON strings produced by LLMs so that they are fully compliant with the JSON spec.", - "display_name": "JSON Cleaner" - }, - "selected": false, - "width": 384, - "height": 537, - "positionAbsolute": { - "x": 1484.3316811088714, - "y": 174.88328534754476 - }, - "dragging": false - }, - { - "id": "Prompt-uk0Fr", - "type": "genericNode", - "position": { - "x": 2784.1158749493534, - "y": 225.01053782589702 - }, - "data": { - "node": { - "template": { - "_type": "Component", - "code": { - "type": "code", - "required": true, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.inputs.inputs import DefaultPromptField\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n trace_type = \"prompt\"\n name = \"Prompt\"\n\n inputs = [\n PromptInput(name=\"template\", display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n ]\n\n async def build_prompt(\n self,\n ) -> Message:\n prompt = await Message.from_template_and_variables(**self._attributes)\n self.status = prompt.text\n return prompt\n\n def _update_template(self, frontend_node: dict):\n prompt_template = frontend_node[\"template\"][\"template\"][\"value\"]\n custom_fields = frontend_node[\"custom_fields\"]\n frontend_node_template = frontend_node[\"template\"]\n _ = process_prompt_template(\n template=prompt_template,\n name=\"template\",\n custom_fields=custom_fields,\n frontend_node_template=frontend_node_template,\n )\n return frontend_node\n\n def post_code_processing(self, new_frontend_node: dict, current_frontend_node: dict):\n \"\"\"\n This function is called after the code validation is done.\n \"\"\"\n frontend_node = super().post_code_processing(new_frontend_node, current_frontend_node)\n template = frontend_node[\"template\"][\"template\"][\"value\"]\n # Kept it duplicated for backwards compatibility\n _ = process_prompt_template(\n template=template,\n name=\"template\",\n custom_fields=frontend_node[\"custom_fields\"],\n frontend_node_template=frontend_node[\"template\"],\n )\n # Now that template is updated, we need to grab any values that were set in the current_frontend_node\n # and update the frontend_node with those values\n update_template_values(new_template=frontend_node, previous_template=current_frontend_node[\"template\"])\n return frontend_node\n\n def _get_fallback_input(self, **kwargs):\n return DefaultPromptField(**kwargs)\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "template": { - "trace_as_input": true, - "list": false, - "required": false, - "placeholder": "", - "show": true, - "name": "template", - "value": "{context}\n\nTranslate the text you receive into Spanish!", - "display_name": "Template", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "type": "prompt", - "_input_type": "PromptInput", - "load_from_db": false - }, - "context": { - "field_type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "", - "fileTypes": [], - "file_path": "", - "name": "context", - "display_name": "context", - "advanced": false, - "input_types": [ - "Message", - "Text" - ], - "dynamic": false, - "info": "", - "load_from_db": false, - "title_case": false, - "type": "str" - } - }, - "description": "Create a prompt template with dynamic variables.", - "icon": "prompts", - "base_classes": [ - "Message" - ], - "display_name": "Prompt", - "documentation": "", - "custom_fields": { - "template": [ - "context" - ] - }, - "output_types": [], - "pinned": false, - "conditional_paths": [], - "frozen": false, - "outputs": [ - { - "types": [ - "Message" - ], - "selected": "Message", - "name": "prompt", - "display_name": "Prompt Message", - "method": "build_prompt", - "value": "__UNDEFINED__", - "cache": true - } - ], - "field_order": [ - "template" - ], - "beta": false, - "edited": false, - "metadata": {}, - "lf_version": "1.0.19.post2" - }, - "type": "Prompt", - "id": "Prompt-uk0Fr", - "description": "Create a prompt template with dynamic variables.", - "display_name": "Prompt" - }, - "selected": false, - "width": 384, - "height": 391, - "positionAbsolute": { - "x": 2784.1158749493534, - "y": 225.01053782589702 - }, - "dragging": false - } - ], - "edges": [ - { - "source": "GoogleDriveComponent-x1jHz", - "target": "ParseData-7qhmP", - "sourceHandle": "{œdataTypeœ:œGoogleDriveComponentœ,œidœ:œGoogleDriveComponent-x1jHzœ,œnameœ:œdocsœ,œoutput_typesœ:[œDataœ]}", - "targetHandle": "{œfieldNameœ:œdataœ,œidœ:œParseData-7qhmPœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}", - "id": "reactflow__edge-GoogleDriveComponent-x1jHz{œdataTypeœ:œGoogleDriveComponentœ,œidœ:œGoogleDriveComponent-x1jHzœ,œnameœ:œdocsœ,œoutput_typesœ:[œDataœ]}-ParseData-7qhmP{œfieldNameœ:œdataœ,œidœ:œParseData-7qhmPœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}", - "data": { - "targetHandle": { - "fieldName": "data", - "id": "ParseData-7qhmP", - "inputTypes": [ - "Data" - ], - "type": "other" - }, - "sourceHandle": { - "dataType": "GoogleDriveComponent", - "id": "GoogleDriveComponent-x1jHz", - "name": "docs", - "output_types": [ - "Data" - ] - } - }, - "selected": false, - "animated": false, - "className": "" - }, - { - "source": "OpenAIModel-YUM1a", - "target": "ChatOutput-c4k0L", - "sourceHandle": "{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-YUM1aœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}", - "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-c4k0Lœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", - "id": "reactflow__edge-OpenAIModel-YUM1a{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-YUM1aœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-c4k0L{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-c4k0Lœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", - "data": { - "targetHandle": { - "fieldName": "input_value", - "id": "ChatOutput-c4k0L", - "inputTypes": [ - "Message" - ], - "type": "str" - }, - "sourceHandle": { - "dataType": "OpenAIModel", - "id": "OpenAIModel-YUM1a", - "name": "text_output", - "output_types": [ - "Message" - ] - } - }, - "selected": false, - "animated": false, - "className": "" - }, - { - "source": "GoogleOAuthToken-piWFF", - "sourceHandle": "{œdataTypeœ:œGoogleOAuthTokenœ,œidœ:œGoogleOAuthToken-piWFFœ,œnameœ:œoutputœ,œoutput_typesœ:[œDataœ]}", - "target": "ParseData-LFq8b", - "targetHandle": "{œfieldNameœ:œdataœ,œidœ:œParseData-LFq8bœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}", - "data": { - "targetHandle": { - "fieldName": "data", - "id": "ParseData-LFq8b", - "inputTypes": [ - 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"output_types": [ - "Message" - ] - } - }, - "id": "reactflow__edge-ParseData-LFq8b{œdataTypeœ:œParseDataœ,œidœ:œParseData-LFq8bœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-JSONCleaner-N4p7F{œfieldNameœ:œjson_strœ,œidœ:œJSONCleaner-N4p7Fœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", - "animated": false, - "className": "" - }, - { - "source": "JSONCleaner-N4p7F", - "sourceHandle": "{œdataTypeœ:œJSONCleanerœ,œidœ:œJSONCleaner-N4p7Fœ,œnameœ:œoutputœ,œoutput_typesœ:[œMessageœ]}", - "target": "GoogleDriveComponent-x1jHz", - "targetHandle": "{œfieldNameœ:œjson_stringœ,œidœ:œGoogleDriveComponent-x1jHzœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", - "data": { - "targetHandle": { - "fieldName": "json_string", - "id": "GoogleDriveComponent-x1jHz", - "inputTypes": [ - "Message" - ], - "type": "str" - }, - "sourceHandle": { - "dataType": "JSONCleaner", - "id": "JSONCleaner-N4p7F", - "name": "output", - "output_types": [ - "Message" - ] - } - }, - "id": "reactflow__edge-JSONCleaner-N4p7F{œdataTypeœ:œJSONCleanerœ,œidœ:œJSONCleaner-N4p7Fœ,œnameœ:œoutputœ,œoutput_typesœ:[œMessageœ]}-GoogleDriveComponent-x1jHz{œfieldNameœ:œjson_stringœ,œidœ:œGoogleDriveComponent-x1jHzœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", - 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