refactor: Migrate base classes to outputs in FrontendNode model
This commit is contained in:
ogabrielluiz
parent
2dddfe4aea
commit
1a03c0d0c7
8 changed files with 620 additions and 414 deletions
|
|
@ -15,6 +15,7 @@ from loguru import logger
|
|||
from sqlmodel import select
|
||||
|
||||
from langflow.base.constants import FIELD_FORMAT_ATTRIBUTES, NODE_FORMAT_ATTRIBUTES, ORJSON_OPTIONS
|
||||
from langflow.graph.graph.base import Graph
|
||||
from langflow.interface.types import aget_all_components
|
||||
from langflow.services.auth.utils import create_super_user
|
||||
from langflow.services.database.models.flow.model import Flow, FlowCreate
|
||||
|
|
@ -48,7 +49,36 @@ def update_projects_components_with_latest_component_versions(project_data, all_
|
|||
if "outputs" in latest_node:
|
||||
node_data["outputs"] = latest_node["outputs"]
|
||||
if node_data["template"]["_type"] != latest_template["_type"]:
|
||||
node_data["template"] = latest_template
|
||||
node_data["template"]["_type"] = latest_template["_type"]
|
||||
if node_data.get("display_name") != "Prompt":
|
||||
node_data["template"] = latest_template
|
||||
else:
|
||||
for key, value in latest_template.items():
|
||||
if key not in node_data["template"]:
|
||||
node_changes_log[node_data["display_name"]].append(
|
||||
{
|
||||
"attr": key,
|
||||
"old_value": None,
|
||||
"new_value": value,
|
||||
}
|
||||
)
|
||||
node_data["template"][key] = value
|
||||
elif isinstance(value, dict) and value.get("value"):
|
||||
node_changes_log[node_data["display_name"]].append(
|
||||
{
|
||||
"attr": key,
|
||||
"old_value": node_data["template"][key],
|
||||
"new_value": value,
|
||||
}
|
||||
)
|
||||
node_data["template"][key]["value"] = value["value"]
|
||||
node_changes_log[node_data["display_name"]].append(
|
||||
{
|
||||
"attr": "_type",
|
||||
"old_value": node_data["template"]["_type"],
|
||||
"new_value": latest_template["_type"],
|
||||
}
|
||||
)
|
||||
else:
|
||||
for attr in NODE_FORMAT_ATTRIBUTES:
|
||||
if attr in latest_node:
|
||||
|
|
@ -91,6 +121,8 @@ def update_projects_components_with_latest_component_versions(project_data, all_
|
|||
|
||||
|
||||
def scape_json_parse(json_string: str) -> dict:
|
||||
if isinstance(json_string, dict):
|
||||
return json_string
|
||||
parsed_string = json_string.replace("œ", '"')
|
||||
return json.loads(parsed_string)
|
||||
|
||||
|
|
@ -149,7 +181,7 @@ def update_new_output(data):
|
|||
deduplicated_outputs.append(output)
|
||||
source_node["data"]["node"]["outputs"] = deduplicated_outputs
|
||||
|
||||
edge["sourceHandle"] = json.dumps(new_source_handle)
|
||||
edge["sourceHandle"] = escape_json_dump(new_source_handle)
|
||||
edge["data"]["sourceHandle"] = new_source_handle
|
||||
edge["data"]["targetHandle"] = new_target_handle
|
||||
# The above sets the edges but some of the sourceHandles do not have valid name
|
||||
|
|
@ -164,8 +196,9 @@ def update_new_output(data):
|
|||
source_handle = scape_json_parse(edge["sourceHandle"])
|
||||
if source_handle["output_types"] == output.get("types") and source_handle["name"] != output["name"]:
|
||||
source_handle["name"] = output["name"]
|
||||
|
||||
edge["sourceHandle"] = json.dumps(source_handle)
|
||||
if isinstance(source_handle, str):
|
||||
source_handle = scape_json_parse(source_handle)
|
||||
edge["sourceHandle"] = escape_json_dump(source_handle)
|
||||
edge["data"]["sourceHandle"] = source_handle
|
||||
|
||||
data_copy = copy.deepcopy(data)
|
||||
|
|
@ -179,7 +212,9 @@ def update_edges_with_latest_component_versions(project_data):
|
|||
project_data_copy = deepcopy(project_data)
|
||||
for edge in project_data_copy.get("edges", []):
|
||||
source_handle = edge.get("data").get("sourceHandle")
|
||||
source_handle = scape_json_parse(source_handle)
|
||||
target_handle = edge.get("data").get("targetHandle")
|
||||
target_handle = scape_json_parse(target_handle)
|
||||
# Now find the source and target nodes in the nodes list
|
||||
source_node = next(
|
||||
(node for node in project_data.get("nodes", []) if node.get("id") == edge.get("source")), None
|
||||
|
|
@ -194,6 +229,17 @@ def update_edges_with_latest_component_versions(project_data):
|
|||
(output for output in source_node_data.get("outputs", []) if output["name"] == source_handle["name"]),
|
||||
None,
|
||||
)
|
||||
if not output_data:
|
||||
output_data = next(
|
||||
(
|
||||
output
|
||||
for output in source_node_data.get("outputs", [])
|
||||
if output["display_name"] == source_handle["name"]
|
||||
),
|
||||
None,
|
||||
)
|
||||
if output_data:
|
||||
source_handle["name"] = output_data["name"]
|
||||
if output_data:
|
||||
if len(output_data.get("types")) == 1:
|
||||
new_output_types = output_data.get("types")
|
||||
|
|
@ -227,20 +273,30 @@ def update_edges_with_latest_component_versions(project_data):
|
|||
target_handle["inputTypes"] = target_node_data.get("template").get(field_name).get("input_types")
|
||||
escaped_source_handle = escape_json_dump(source_handle)
|
||||
escaped_target_handle = escape_json_dump(target_handle)
|
||||
if edge["sourceHandle"] != escaped_source_handle:
|
||||
try:
|
||||
old_escape_source_handle = escape_json_dump(json.loads(edge["sourceHandle"]))
|
||||
|
||||
except json.JSONDecodeError:
|
||||
old_escape_source_handle = edge["sourceHandle"]
|
||||
|
||||
try:
|
||||
old_escape_target_handle = escape_json_dump(json.loads(edge["targetHandle"]))
|
||||
except json.JSONDecodeError:
|
||||
old_escape_target_handle = edge["targetHandle"]
|
||||
if old_escape_source_handle != escaped_source_handle:
|
||||
edge_changes_log[source_node_data["display_name"]].append(
|
||||
{
|
||||
"attr": "sourceHandle",
|
||||
"old_value": edge["sourceHandle"],
|
||||
"old_value": old_escape_source_handle,
|
||||
"new_value": escaped_source_handle,
|
||||
}
|
||||
)
|
||||
edge["sourceHandle"] = escaped_source_handle
|
||||
if edge["targetHandle"] != escaped_target_handle:
|
||||
if old_escape_target_handle != escaped_target_handle:
|
||||
edge_changes_log[target_node_data["display_name"]].append(
|
||||
{
|
||||
"attr": "targetHandle",
|
||||
"old_value": edge["targetHandle"],
|
||||
"old_value": old_escape_target_handle,
|
||||
"new_value": escaped_target_handle,
|
||||
}
|
||||
)
|
||||
|
|
@ -498,6 +554,10 @@ async def create_or_update_starter_projects():
|
|||
project_data, all_types_dict
|
||||
)
|
||||
updated_project_data = update_edges_with_latest_component_versions(updated_project_data)
|
||||
try:
|
||||
Graph.from_payload(updated_project_data)
|
||||
except Exception as e:
|
||||
raise ValueError(f"Error loading graph from project {project_name}: {e}")
|
||||
if updated_project_data != project_data:
|
||||
project_data = updated_project_data
|
||||
# We also need to update the project data in the file
|
||||
|
|
|
|||
|
|
@ -36,7 +36,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-uxBqP",
|
||||
"name": "prompt",
|
||||
"name": "Text",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -54,7 +54,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-uxBqP{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-uxBqPœ}-OpenAIModel-k39HS{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-k39HSœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-uxBqP",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-uxBqPœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-uxBqPœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -68,9 +68,7 @@
|
|||
"dataType": "ChatInput",
|
||||
"id": "ChatInput-P3fgL",
|
||||
"name": "message",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
"output_types": []
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "user_input",
|
||||
|
|
@ -86,7 +84,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-ChatInput-P3fgL{œbaseClassesœ:[œobjectœ,œRecordœ,œstrœ,œTextœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-P3fgLœ}-Prompt-uxBqP{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-uxBqPœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "ChatInput-P3fgL",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-P3fgLœ, œoutput_typesœ: [œTextœ], œnameœ: œmessageœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-P3fgLœ, œoutput_typesœ: [], œnameœ: œmessageœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -125,33 +123,22 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [],
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Prompt"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"_type": "CustomComponent",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -168,7 +155,7 @@
|
|||
"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\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 prompt = await Prompt.from_template_and_variables(self.template, self.kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\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 \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"template": {
|
||||
"advanced": false,
|
||||
|
|
@ -189,6 +176,32 @@
|
|||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "prompt",
|
||||
"value": "Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: "
|
||||
},
|
||||
"user_input": {
|
||||
"advanced": false,
|
||||
"display_name": "user_input",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "user_input",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
}
|
||||
|
|
@ -256,15 +269,13 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -533,26 +544,22 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"method": "text_response",
|
||||
"name": "text",
|
||||
"name": "message",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
"Record"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -573,11 +580,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\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 self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -736,26 +743,22 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Record",
|
||||
"method": "message_response",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Message",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
"Record"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -776,11 +779,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Text\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\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 self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Message\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"text\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n },\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
|
|||
|
|
@ -133,7 +133,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-Rse03",
|
||||
"name": "prompt",
|
||||
"name": "Text",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -152,7 +152,7 @@
|
|||
"id": "reactflow__edge-Prompt-Rse03{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-Rse03œ}-OpenAIModel-gi29P{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gi29Pœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"selected": false,
|
||||
"source": "Prompt-Rse03",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-Rse03œ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-Rse03œ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -193,33 +193,22 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [],
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Prompt"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"_type": "CustomComponent",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -236,7 +225,85 @@
|
|||
"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\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 prompt = await Prompt.from_template_and_variables(self.template, self.kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\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 \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"instructions": {
|
||||
"advanced": false,
|
||||
"display_name": "instructions",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "instructions",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"reference_1": {
|
||||
"advanced": false,
|
||||
"display_name": "reference_1",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "reference_1",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"reference_2": {
|
||||
"advanced": false,
|
||||
"display_name": "reference_2",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "reference_2",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"template": {
|
||||
"advanced": false,
|
||||
|
|
@ -257,8 +324,8 @@
|
|||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
"type": "prompt",
|
||||
"value": "Reference 1:\n\n{reference_1}\n\n---\n\nReference 2:\n\n{reference_2}\n\n---\n\n{instructions}\n\nBlog: \n\n\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
|
|
@ -302,15 +369,13 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Record",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Record"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -405,26 +470,22 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"method": "text_response",
|
||||
"name": "text",
|
||||
"name": "message",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
"Record"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -445,11 +506,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\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 self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -618,15 +679,13 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -889,15 +948,13 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Record",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Record"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
|
|||
|
|
@ -8,9 +8,7 @@
|
|||
"dataType": "ChatInput",
|
||||
"id": "ChatInput-MsSJ9",
|
||||
"name": "message",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
"output_types": []
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "Question",
|
||||
|
|
@ -26,7 +24,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-ChatInput-MsSJ9{œbaseClassesœ:[œstrœ,œRecordœ,œTextœ,œobjectœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-MsSJ9œ}-Prompt-tHwPf{œfieldNameœ:œQuestionœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "ChatInput-MsSJ9",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-MsSJ9œ, œoutput_typesœ: [œTextœ], œnameœ: œmessageœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-MsSJ9œ, œoutput_typesœ: [], œnameœ: œmessageœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -71,7 +69,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-tHwPf",
|
||||
"name": "prompt",
|
||||
"name": "Text",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -89,7 +87,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-tHwPf{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-tHwPfœ}-OpenAIModel-Bt067{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-Bt067œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-tHwPf",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-tHwPfœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-tHwPfœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -158,33 +156,74 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [],
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Prompt"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"Document": {
|
||||
"advanced": false,
|
||||
"display_name": "Document",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "Document",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"Question": {
|
||||
"advanced": false,
|
||||
"display_name": "Question",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "Question",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"_type": "CustomComponent",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -201,7 +240,7 @@
|
|||
"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\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 prompt = await Prompt.from_template_and_variables(self.template, self.kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\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 \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"template": {
|
||||
"advanced": false,
|
||||
|
|
@ -222,8 +261,8 @@
|
|||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
"type": "prompt",
|
||||
"value": "Answer user's questions based on the document below:\n\n---\n\n{Document}\n\n---\n\nQuestion:\n{Question}\n\nAnswer:\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
|
|
@ -391,26 +430,22 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Record",
|
||||
"method": "message_response",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Message",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
"Record"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -431,11 +466,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Text\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\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 self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Message\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"text\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n },\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -570,26 +605,22 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"method": "text_response",
|
||||
"name": "text",
|
||||
"name": "message",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
"Record"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -610,11 +641,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\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 self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -788,15 +819,13 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
|
|||
|
|
@ -41,9 +41,7 @@
|
|||
"dataType": "ChatInput",
|
||||
"id": "ChatInput-t7F8v",
|
||||
"name": "message",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
"output_types": []
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "user_message",
|
||||
|
|
@ -60,7 +58,7 @@
|
|||
"id": "reactflow__edge-ChatInput-t7F8v{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-t7F8vœ}-Prompt-ODkUx{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"selected": false,
|
||||
"source": "ChatInput-t7F8v",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-t7F8vœ, œoutput_typesœ: [œTextœ], œnameœ: œmessageœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-t7F8vœ, œoutput_typesœ: [], œnameœ: œmessageœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -73,7 +71,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-ODkUx",
|
||||
"name": "prompt",
|
||||
"name": "Text",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -91,7 +89,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-ODkUx{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-ODkUxœ}-OpenAIModel-9RykF{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-9RykFœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-ODkUx",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-ODkUxœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-ODkUxœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -187,26 +185,22 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Record",
|
||||
"method": "message_response",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Message",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
"Record"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -227,11 +221,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Text\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\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 self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Message\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"text\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n },\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -366,26 +360,22 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"method": "text_response",
|
||||
"name": "text",
|
||||
"name": "message",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
"Record"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -406,11 +396,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\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 self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -573,15 +563,13 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -791,33 +779,22 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [],
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Prompt"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"_type": "CustomComponent",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -834,7 +811,33 @@
|
|||
"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\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 prompt = await Prompt.from_template_and_variables(self.template, self.kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\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 \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"context": {
|
||||
"advanced": false,
|
||||
"display_name": "context",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "context",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"template": {
|
||||
"advanced": false,
|
||||
|
|
@ -855,6 +858,32 @@
|
|||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "prompt",
|
||||
"value": "{context}\n\nUser: {user_message}\nAI: "
|
||||
},
|
||||
"user_message": {
|
||||
"advanced": false,
|
||||
"display_name": "user_message",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "user_message",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
}
|
||||
|
|
@ -920,15 +949,13 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
|
|||
|
|
@ -8,9 +8,7 @@
|
|||
"dataType": "TextInput",
|
||||
"id": "TextInput-sptaH",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
"output_types": []
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "document",
|
||||
|
|
@ -26,7 +24,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-TextInput-sptaH{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-sptaHœ}-Prompt-amqBu{œfieldNameœ:œdocumentœ,œidœ:œPrompt-amqBuœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "TextInput-sptaH",
|
||||
"sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-sptaHœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-sptaHœ, œoutput_typesœ: [], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -40,7 +38,9 @@
|
|||
"dataType": "Prompt",
|
||||
"id": "Prompt-amqBu",
|
||||
"name": "Text",
|
||||
"output_types": []
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "input_value",
|
||||
|
|
@ -54,7 +54,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-amqBu{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-amqBuœ}-TextOutput-2MS4a{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-2MS4aœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-amqBu",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-amqBuœ, œoutput_typesœ: [], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-amqBuœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -67,7 +67,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-amqBu",
|
||||
"name": "prompt",
|
||||
"name": "Text",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -85,7 +85,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-amqBu{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-amqBuœ}-OpenAIModel-uYXZJ{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-uYXZJœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-amqBu",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-amqBuœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-amqBuœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -160,7 +160,9 @@
|
|||
"dataType": "Prompt",
|
||||
"id": "Prompt-gTNiz",
|
||||
"name": "Text",
|
||||
"output_types": []
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "input_value",
|
||||
|
|
@ -174,7 +176,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-gTNiz{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-gTNizœ}-TextOutput-MUDOR{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-MUDORœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-gTNiz",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-gTNizœ, œoutput_typesœ: [], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-gTNizœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -187,7 +189,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-gTNiz",
|
||||
"name": "prompt",
|
||||
"name": "Text",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -205,7 +207,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-gTNiz{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-gTNizœ}-OpenAIModel-XawYB{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-XawYBœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-gTNiz",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-gTNizœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-gTNizœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -273,33 +275,22 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [],
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Prompt"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"_type": "CustomComponent",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -316,7 +307,33 @@
|
|||
"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\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 prompt = await Prompt.from_template_and_variables(self.template, self.kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\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 \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"document": {
|
||||
"advanced": false,
|
||||
"display_name": "document",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "document",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"template": {
|
||||
"advanced": false,
|
||||
|
|
@ -337,8 +354,8 @@
|
|||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
"type": "prompt",
|
||||
"value": "You are a helpful assistant. Given a long document, your task is to create a concise summary that captures the main points and key details. The summary should be clear, accurate, and succinct. Please provide the summary in the format below:\n####\n{document}\n####\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
|
|
@ -389,33 +406,22 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [],
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Prompt"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"_type": "CustomComponent",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -432,7 +438,33 @@
|
|||
"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\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 prompt = await Prompt.from_template_and_variables(self.template, self.kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\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 \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"summary": {
|
||||
"advanced": false,
|
||||
"display_name": "summary",
|
||||
"dynamic": false,
|
||||
"field_type": "str",
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "summary",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"template": {
|
||||
"advanced": false,
|
||||
|
|
@ -453,8 +485,8 @@
|
|||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
"type": "prompt",
|
||||
"value": "Given a summary of an article, please create two multiple-choice questions that cover the key points and details mentioned. Ensure the questions are clear and provide three options (A, B, C), with one correct answer.\n####\n{summary}\n####"
|
||||
}
|
||||
}
|
||||
},
|
||||
|
|
@ -500,26 +532,22 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"method": "text_response",
|
||||
"name": "text",
|
||||
"name": "message",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
"Record"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -540,11 +568,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\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 self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -700,26 +728,22 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"method": "text_response",
|
||||
"name": "text",
|
||||
"name": "message",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
"Record"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -740,11 +764,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\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 self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -894,15 +918,13 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "text_response",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -1140,15 +1162,13 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -1539,15 +1559,13 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -76,11 +76,10 @@ class FrontendNode(BaseModel):
|
|||
name = result.pop("name")
|
||||
|
||||
# Migrate base classes to outputs
|
||||
if "output_types" in result:
|
||||
if "output_types" in result and not result.get("outputs"):
|
||||
for base_class in result["output_types"]:
|
||||
output = Output(
|
||||
name=base_class,
|
||||
types=[base_class],
|
||||
display_name=base_class, name=base_class.lower(), types=[base_class], selected=base_class
|
||||
)
|
||||
result["outputs"].append(output.model_dump())
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue