refactor: Remove PromptComponent and update langflow components to use Prompt field type

src/backend/base/langflow/components/inputs/Prompt.py

@@ -1,38 +0,0 @@
-from langflow.custom import Component
-from langflow.field_typing import Input, Output
-from langflow.field_typing.prompt import Prompt
-from langflow.schema.record import Record
-
-
-class PromptComponent(Component):
-    display_name: str = "Prompt"
-    description: str = "Create a prompt template with dynamic variables."
-    icon = "prompts"
-
-    def build_config(self):
-        return {
-            "template": Input(display_name="Template"),
-        }
-
-    inputs = [
-        Input(name="template", field_type=Prompt, display_name="Template"),
-    ]
-
-    outputs = [
-        Output(display_name="Prompt", name="prompt", method="build_prompt"),
-        Output(display_name="Text", name="text", method="format_prompt"),
-    ]
-
-    async def format_prompt(self) -> str:
-        prompt = await self.build_prompt()
-        formatted_text = prompt.format_text()
-        self.status = formatted_text
-        return formatted_text
-
-    async def build_prompt(
-        self,
-    ) -> Prompt:
-        kwargs = {k: v for k, v in self._arguments.items() if k != "template"}
-        prompt = await Prompt.from_template_and_variables(self.template, kwargs)
-        self.status = [Record.from_lc_message(message) for message in prompt.messages]
-        return prompt

src/backend/base/langflow/components/inputs/__init__.py

@@ -1,5 +1,4 @@
 from .ChatInput import ChatInput
-from .Prompt import PromptComponent
 from .TextInput import TextInput
 
-__all__ = ["ChatInput", "PromptComponent", "TextInput"]
+__all__ = ["ChatInput", "TextInput"]

src/backend/base/langflow/components/prompts/Prompt.py

@@ -1,24 +1,37 @@
-from langflow.custom import CustomComponent
+from langflow.custom import Component
-from langflow.field_typing import TemplateField
+from langflow.field_typing import Input, Output
 from langflow.field_typing.prompt import Prompt
 
 
-class PromptComponent(CustomComponent):
+class PromptComponent(Component):
-    display_name: str = "Empty Prompt"
+    display_name: str = "Prompt"
     description: str = "Create a prompt template with dynamic variables."
     icon = "prompts"
 
     def build_config(self):
         return {
-            "template": TemplateField(display_name="Template"),
+            "template": Input(display_name="Template"),
-            "code": TemplateField(advanced=True),
         }
 
-    async def build(
+    inputs = [
+        Input(name="template", type=Prompt, display_name="Template"),
+    ]
+
+    outputs = [
+        Output(display_name="Prompt", name="prompt", method="build_prompt"),
+        Output(display_name="Text", name="text", method="format_prompt"),
+    ]
+
+    async def format_prompt(self) -> str:
+        prompt = await self.build_prompt()
+        formatted_text = prompt.format_text()
+        self.status = formatted_text
+        return formatted_text
+
+    async def build_prompt(
         self,
-        template: Prompt,
-        **kwargs,
     ) -> Prompt:
-        prompt = await Prompt.from_template_and_variables(template, kwargs)  # type: ignore
+        kwargs = {k: v for k, v in self._arguments.items() if k != "template"}
+        prompt = await Prompt.from_template_and_variables(self.template, kwargs)
         self.status = prompt.format_text()
         return prompt

src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json

@@ -168,7 +168,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", field_type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = [Record.from_lc_message(message) for message in prompt.messages]\n        return prompt\n"
+                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = prompt.format_text()\n        return prompt\n"
               },
               "template": {
                 "advanced": false,

src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json

@@ -8,12 +8,19 @@
             "dataType": "URL",
             "id": "URL-HYPkR",
             "name": "record",
-            "output_types": ["Record"]
+            "output_types": [
+              "Record"
+            ]
           },
           "targetHandle": {
             "fieldName": "reference_2",
             "id": "Prompt-Rse03",
-            "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+            "inputTypes": [
+              "Document",
+              "BaseOutputParser",
+              "Record",
+              "Text"
+            ],
             "type": "str"
           }
         },
@@ -34,12 +41,16 @@
             "dataType": "OpenAIModel",
             "id": "OpenAIModel-gi29P",
             "name": "text",
-            "output_types": ["Text"]
+            "output_types": [
+              "Text"
+            ]
           },
           "targetHandle": {
             "fieldName": "input_value",
             "id": "ChatOutput-JPlxl",
-            "inputTypes": ["Text"],
+            "inputTypes": [
+              "Text"
+            ],
             "type": "str"
           }
         },
@@ -59,12 +70,19 @@
             "dataType": "URL",
             "id": "URL-2cX90",
             "name": "record",
-            "output_types": ["Record"]
+            "output_types": [
+              "Record"
+            ]
           },
           "targetHandle": {
             "fieldName": "reference_1",
             "id": "Prompt-Rse03",
-            "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+            "inputTypes": [
+              "Document",
+              "BaseOutputParser",
+              "Record",
+              "Text"
+            ],
             "type": "str"
           }
         },
@@ -84,12 +102,19 @@
             "dataType": "TextInput",
             "id": "TextInput-og8Or",
             "name": "Text",
-            "output_types": ["Text"]
+            "output_types": [
+              "Text"
+            ]
           },
           "targetHandle": {
             "fieldName": "instructions",
             "id": "Prompt-Rse03",
-            "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
+            "inputTypes": [
+              "Document",
+              "BaseOutputParser",
+              "Record",
+              "Text"
+            ],
             "type": "str"
           }
         },
@@ -109,12 +134,18 @@
             "dataType": "Prompt",
             "id": "Prompt-Rse03",
             "name": "prompt",
-            "output_types": ["Prompt"]
+            "output_types": [
+              "Prompt"
+            ]
           },
           "targetHandle": {
             "fieldName": "input_value",
             "id": "OpenAIModel-gi29P",
-            "inputTypes": ["Text", "Record", "Prompt"],
+            "inputTypes": [
+              "Text",
+              "Record",
+              "Prompt"
+            ],
             "type": "str"
           }
         },
@@ -136,10 +167,18 @@
           "display_name": "Prompt",
           "id": "Prompt-Rse03",
           "node": {
-            "base_classes": ["object", "Text", "str"],
+            "base_classes": [
+              "object",
+              "Text",
+              "str"
+            ],
             "beta": false,
             "custom_fields": {
-              "template": ["reference_1", "reference_2", "instructions"]
+              "template": [
+                "reference_1",
+                "reference_2",
+                "instructions"
+              ]
             },
             "description": "Create a prompt template with dynamic variables.",
             "display_name": "Prompt",
@@ -162,7 +201,9 @@
                 "method": "build_prompt",
                 "name": "prompt",
                 "selected": "Prompt",
-                "types": ["Prompt"],
+                "types": [
+                  "Prompt"
+                ],
                 "value": "__UNDEFINED__"
               },
               {
@@ -171,7 +212,9 @@
                 "method": "format_prompt",
                 "name": "text",
                 "selected": "Text",
-                "types": ["Text"],
+                "types": [
+                  "Text"
+                ],
                 "value": "__UNDEFINED__"
               }
             ],
@@ -193,7 +236,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", field_type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = [Record.from_lc_message(message) for message in prompt.messages]\n        return prompt\n"
+                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = prompt.format_text()\n        return prompt\n"
               },
               "instructions": {
                 "advanced": false,
@@ -280,7 +323,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": false,
@@ -316,7 +361,9 @@
         "data": {
           "id": "URL-HYPkR",
           "node": {
-            "base_classes": ["Record"],
+            "base_classes": [
+              "Record"
+            ],
             "beta": false,
             "custom_fields": {
               "urls": null
@@ -328,7 +375,9 @@
             "field_order": [],
             "frozen": false,
             "icon": "layout-template",
-            "output_types": ["Record"],
+            "output_types": [
+              "Record"
+            ],
             "outputs": [
               {
                 "cache": true,
@@ -336,7 +385,9 @@
                 "method": null,
                 "name": "record",
                 "selected": "Record",
-                "types": ["Record"],
+                "types": [
+                  "Record"
+                ],
                 "value": "__UNDEFINED__"
               }
             ],
@@ -367,7 +418,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": true,
                 "load_from_db": false,
                 "multiline": false,
@@ -405,7 +458,12 @@
         "data": {
           "id": "ChatOutput-JPlxl",
           "node": {
-            "base_classes": ["Text", "Record", "object", "str"],
+            "base_classes": [
+              "Text",
+              "Record",
+              "object",
+              "str"
+            ],
             "beta": false,
             "custom_fields": {
               "input_value": null,
@@ -430,7 +488,9 @@
                 "method": "text_response",
                 "name": "text",
                 "selected": "Text",
-                "types": ["Text"],
+                "types": [
+                  "Text"
+                ],
                 "value": "__UNDEFINED__"
               },
               {
@@ -439,7 +499,9 @@
                 "method": "message_response",
                 "name": "message",
                 "selected": "Message",
-                "types": ["Message"],
+                "types": [
+                  "Message"
+                ],
                 "value": "__UNDEFINED__"
               }
             ],
@@ -470,7 +532,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "Message to be passed as output.",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": true,
@@ -490,7 +554,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": false,
@@ -510,12 +576,17 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "Type of sender.",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": true,
                 "load_from_db": false,
                 "multiline": false,
                 "name": "sender",
-                "options": ["Machine", "User"],
+                "options": [
+                  "Machine",
+                  "User"
+                ],
                 "password": false,
                 "placeholder": "",
                 "required": false,
@@ -531,7 +602,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "Name of the sender.",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": false,
@@ -551,7 +624,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "Session ID for the message.",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": false,
@@ -582,7 +657,11 @@
         "data": {
           "id": "OpenAIModel-gi29P",
           "node": {
-            "base_classes": ["str", "Text", "object"],
+            "base_classes": [
+              "str",
+              "Text",
+              "object"
+            ],
             "beta": false,
             "custom_fields": {
               "input_value": null,
@@ -612,7 +691,9 @@
             ],
             "frozen": false,
             "icon": "OpenAI",
-            "output_types": ["Text"],
+            "output_types": [
+              "Text"
+            ],
             "outputs": [
               {
                 "cache": true,
@@ -620,7 +701,9 @@
                 "method": null,
                 "name": "text",
                 "selected": "Text",
-                "types": ["Text"],
+                "types": [
+                  "Text"
+                ],
                 "value": "__UNDEFINED__"
               }
             ],
@@ -651,7 +734,11 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "",
-                "input_types": ["Text", "Record", "Prompt"],
+                "input_types": [
+                  "Text",
+                  "Record",
+                  "Prompt"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": false,
@@ -708,7 +795,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": true,
                 "load_from_db": false,
                 "multiline": false,
@@ -735,7 +824,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": false,
@@ -754,7 +845,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "The OpenAI API Key to use for the OpenAI model.",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": false,
@@ -793,7 +886,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "System message to pass to the model.",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": false,
@@ -853,7 +948,9 @@
         "data": {
           "id": "URL-2cX90",
           "node": {
-            "base_classes": ["Record"],
+            "base_classes": [
+              "Record"
+            ],
             "beta": false,
             "custom_fields": {
               "urls": null
@@ -865,7 +962,9 @@
             "field_order": [],
             "frozen": false,
             "icon": "layout-template",
-            "output_types": ["Record"],
+            "output_types": [
+              "Record"
+            ],
             "outputs": [
               {
                 "cache": true,
@@ -873,7 +972,9 @@
                 "method": null,
                 "name": "record",
                 "selected": "Record",
-                "types": ["Record"],
+                "types": [
+                  "Record"
+                ],
                 "value": "__UNDEFINED__"
               }
             ],
@@ -904,7 +1005,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": true,
                 "load_from_db": false,
                 "multiline": false,
@@ -915,7 +1018,9 @@
                 "show": true,
                 "title_case": false,
                 "type": "str",
-                "value": ["https://www.promptingguide.ai/introduction/basics"]
+                "value": [
+                  "https://www.promptingguide.ai/introduction/basics"
+                ]
               }
             }
           },
@@ -940,7 +1045,11 @@
         "data": {
           "id": "TextInput-og8Or",
           "node": {
-            "base_classes": ["object", "Text", "str"],
+            "base_classes": [
+              "object",
+              "Text",
+              "str"
+            ],
             "beta": false,
             "custom_fields": {
               "input_value": null,
@@ -953,12 +1062,16 @@
             "field_order": [],
             "frozen": false,
             "icon": "type",
-            "output_types": ["Text"],
+            "output_types": [
+              "Text"
+            ],
             "outputs": [
               {
                 "name": "Text",
                 "selected": "Text",
-                "types": ["Text"]
+                "types": [
+                  "Text"
+                ]
               }
             ],
             "template": {
@@ -988,7 +1101,10 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "Text or Record to be passed as input.",
-                "input_types": ["Record", "Text"],
+                "input_types": [
+                  "Record",
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": false,
@@ -1008,7 +1124,9 @@
                 "fileTypes": [],
                 "file_path": "",
                 "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
-                "input_types": ["Text"],
+                "input_types": [
+                  "Text"
+                ],
                 "list": false,
                 "load_from_db": false,
                 "multiline": true,

src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json

@@ -253,7 +253,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", field_type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = [Record.from_lc_message(message) for message in prompt.messages]\n        return prompt\n"
+                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = prompt.format_text()\n        return prompt\n"
               },
               "template": {
                 "advanced": false,

src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json

@@ -834,7 +834,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", field_type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = [Record.from_lc_message(message) for message in prompt.messages]\n        return prompt\n"
+                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = prompt.format_text()\n        return prompt\n"
               },
               "context": {
                 "advanced": false,

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

@@ -320,7 +320,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", field_type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = [Record.from_lc_message(message) for message in prompt.messages]\n        return prompt\n"
+                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = prompt.format_text()\n        return prompt\n"
               },
               "document": {
                 "advanced": false,
@@ -462,7 +462,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", field_type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = [Record.from_lc_message(message) for message in prompt.messages]\n        return prompt\n"
+                "value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n    display_name: str = \"Prompt\"\n    description: str = \"Create a prompt template with dynamic variables.\"\n    icon = \"prompts\"\n\n    def build_config(self):\n        return {\n            \"template\": Input(display_name=\"Template\"),\n        }\n\n    inputs = [\n        Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n    ]\n\n    outputs = [\n        Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n    ]\n\n    async def format_prompt(self) -> str:\n        prompt = await self.build_prompt()\n        formatted_text = prompt.format_text()\n        self.status = formatted_text\n        return formatted_text\n\n    async def build_prompt(\n        self,\n    ) -> Prompt:\n        kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n        prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n        self.status = prompt.format_text()\n        return prompt\n"
               },
               "summary": {
                 "advanced": false,