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",props:{style:{color:"#A5D6FF"}}},{content:"{",props:{style:{color:"#79C0FF"}}},{content:"input_number",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" self",props:{style:{color:"#79C0FF"}}},{content:".status ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" processed_text",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" return",props:{style:{color:"#FF7B72"}}},{content:" processed_text",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,n.jsxs)(e.p,{children:["Paste that code into the Custom Component code snippet and click ",(0,n.jsx)(e.strong,{children:"Check & Save."})]}),"\n",(0,n.jsx)(e.p,{children:(0,n.jsx)(e.img,{src:t(8582).A+"",width:"2976",height:"1674"})}),"\n",(0,n.jsx)(e.p,{children:"You should see something like the component below. Double click the name or description areas to edit them."}),"\n",(0,n.jsx)(e.p,{children:(0,n.jsx)(e.img,{src:t(6928).A+"",width:"2144",height:"1206"})}),"\n",(0,n.jsx)(e.h2,{id:"3815589831f24ab792328ed233c8b00d",children:"Input Types"}),"\n",(0,n.jsx)(e.hr,{}),"\n",(0,n.jsx)(e.p,{children:"Langflow provides several higher-level input types to simplify the creation of custom components. These input types standardize how inputs are defined, validated, and used. Here\u2019s a guide on how to use these inputs and their primary purposes:"}),"\n",(0,n.jsx)(e.h3,{id:"fb06c48a326043ffa46badc1ab3ba467",children:(0,n.jsx)(e.strong,{children:"HandleInput"})}),"\n",(0,n.jsxs)(e.p,{children:["Represents an input that has a handle to a specific type (e.g.,\xa0",(0,n.jsx)(e.code,{children:"BaseLanguageModel"}),",\xa0",(0,n.jsx)(e.code,{children:"BaseRetriever"}),", etc.)."]}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Useful for connecting to specific component types in a flow."]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"0e1dcb768e38487180d720b0884a90f5",children:(0,n.jsx)(e.strong,{children:"DataInput"})}),"\n",(0,n.jsxs)(e.p,{children:["Represents an input that receives a\xa0",(0,n.jsx)(e.code,{children:"Data"}),"\xa0object."]}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Ideal for components that process or manipulate data objects."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Data"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"4ec6e68ad9ab4cd194e8e607bc5b3411",children:(0,n.jsx)(e.strong,{children:"StrInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents a standard string input field."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Used for any text input where the user needs to provide a string."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Text"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"9292ac0105e14177af5eff2131b9c71b",children:(0,n.jsx)(e.strong,{children:"MessageInput"})}),"\n",(0,n.jsxs)(e.p,{children:["Represents an input field specifically for\xa0",(0,n.jsx)(e.code,{children:"Message"}),"\xa0objects."]}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Used in components that handle or process messages."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Message"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"5511f5e32b944b4e973379a6bd5405e4",children:(0,n.jsx)(e.strong,{children:"MessageTextInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents a text input for messages."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Suitable for components that need to extract text from message objects."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Message"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"e6d8315b0fb44a2fb8c62c3f3184bbe9",children:(0,n.jsx)(e.strong,{children:"MultilineInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents a text field that supports multiple lines."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Ideal for longer text inputs where the user might need to write extended text."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Text"]'})]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Attributes:"}),"\xa0",(0,n.jsx)(e.code,{children:"multiline=True"})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"2283c13aa5f745b8b0009f7d40e59419",children:(0,n.jsx)(e.strong,{children:"SecretStrInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents a password input field."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Used for sensitive text inputs where the input should be hidden (e.g., passwords, API keys)."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Attributes:"}),"\xa0",(0,n.jsx)(e.code,{children:"password=True"})]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0Does not accept input types, meaning it has no input handles for previous nodes/components to connect to it."]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"612680db6578451daef695bd19827a56",children:(0,n.jsx)(e.strong,{children:"IntInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents an integer input field."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Used for numeric inputs where the value should be an integer."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Integer"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"a15e1fdae15b49fc9bfbf38f8bd7b203",children:(0,n.jsx)(e.strong,{children:"FloatInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents a float input field."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Used for numeric inputs where the value should be a floating-point number."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Float"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"3083671e0e7f4390a03396485114be66",children:(0,n.jsx)(e.strong,{children:"BoolInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents a boolean input field."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Used for true/false or yes/no type inputs."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Boolean"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"2866fc4018e743d8a45afde53f1e57be",children:(0,n.jsx)(e.strong,{children:"NestedDictInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents an input field for nested dictionaries."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Used for more complex data structures where the input needs to be a dictionary."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["NestedDict"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"daa2c2398f694ec199b425e2ed4bcf93",children:(0,n.jsx)(e.strong,{children:"DictInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents an input field for dictionaries."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Suitable for inputs that require a dictionary format."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Dict"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"14dcdef11bab4d3f8127eaf2e36a77b9",children:(0,n.jsx)(e.strong,{children:"DropdownInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents a dropdown input field."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Used where the user needs to select from a predefined list of options."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Attributes:"}),"\xa0",(0,n.jsx)(e.code,{children:"options"}),"\xa0to define the list of selectable options."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["Text"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.h3,{id:"73e6377dc5f446f39517a558a1291410",children:(0,n.jsx)(e.strong,{children:"FileInput"})}),"\n",(0,n.jsx)(e.p,{children:"Represents a file input field."}),"\n",(0,n.jsxs)(e.ul,{children:["\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Usage:"}),"\xa0Used to upload files."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Attributes:"}),"\xa0",(0,n.jsx)(e.code,{children:"file_types"}),"\xa0to specify the types of files that can be uploaded."]}),"\n",(0,n.jsxs)(e.li,{children:[(0,n.jsx)(e.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(e.code,{children:'["File"]'})]}),"\n"]}),"\n",(0,n.jsx)(e.p,{children:"Here is an example of how these inputs can be defined in a custom component:"}),"\n",(0,n.jsx)(d.Code,{codeConfig:a,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"from",props:{style:{color:"#FF7B72"}}},{content:" langflow.custom ",props:{style:{color:"#C9D1D9"}}},{content:"import",props:{style:{color:"#FF7B72"}}},{content:" Component",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"from",props:{style:{color:"#FF7B72"}}},{content:" langflow.inputs ",props:{style:{color:"#C9D1D9"}}},{content:"import",props:{style:{color:"#FF7B72"}}},{content:" StrInput, MultilineInput, SecretStrInput, IntInput, DropdownInput",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"from",props:{style:{color:"#FF7B72"}}},{content:" langflow.template ",props:{style:{color:"#C9D1D9"}}},{content:"import",props:{style:{color:"#FF7B72"}}},{content:" Output, Input",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"class ",props:{style:{color:"#FF7B72"}}},{content:"MyCustomComponent",props:{style:{color:"#FFA657"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"Component",props:{style:{color:"#79C0FF"}}},{content:"):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" display_name ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"My Custom Component"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" description ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"An example of a custom component with various input types."',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" inputs ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" StrInput(",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"username"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" display_name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Username"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" info",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Enter your username."',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ),",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" SecretStrInput(",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"password"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" display_name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Password"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" info",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Enter your password."',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ),",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" MultilineInput(",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"description"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" display_name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Description"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" info",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Enter a detailed description."',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" ),",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" IntInput(",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"age"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" display_name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Age"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" info",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Enter your age."',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ),",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" DropdownInput(",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"gender"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" display_name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Gender"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" options",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"[",props:{style:{color:"#C9D1D9"}}},{content:'"Male"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"Female"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"Other"',props:{style:{color:"#A5D6FF"}}},{content:"],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" info",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Select your gender."',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" )",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" outputs ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" Output(",props:{style:{color:"#C9D1D9"}}},{content:"display_name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Result"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"result"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"method",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"process_inputs"',props:{style:{color:"#A5D6FF"}}},{content:"),",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" def ",props:{style:{color:"#FF7B72"}}},{content:"process_inputs",props:{style:{color:"#D2A8FF"}}},{content:"(self):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" # Your processing logic here",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" return ",props:{style:{color:"#FF7B72"}}},{content:'"Processed"',props:{style:{color:"#A5D6FF"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,n.jsx)(e.p,{children:"By defining inputs this way, Langflow can automatically handle the validation and display of these fields in the user interface, making it easier to create robust and user-friendly custom components."}),"\n",(0,n.jsxs)(e.p,{children:["All of the types detailed above derive from a general class that can also be accessed through the 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Default is\xa0",(0,n.jsx)(e.code,{children:"True"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(e.p,{children:["Below is an example of how to define inputs for a component using the\xa0",(0,n.jsx)(e.code,{children:"Input"}),"\xa0class:"]}),"\n",(0,n.jsx)(d.Code,{codeConfig:a,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"from",props:{style:{color:"#FF7B72"}}},{content:" langflow.template ",props:{style:{color:"#C9D1D9"}}},{content:"import",props:{style:{color:"#FF7B72"}}},{content:" Input, Output",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"from",props:{style:{color:"#FF7B72"}}},{content:" langflow.custom ",props:{style:{color:"#C9D1D9"}}},{content:"import",props:{style:{color:"#FF7B72"}}},{content:" Component",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"from",props:{style:{color:"#FF7B72"}}},{content:" langflow.field_typing ",props:{style:{color:"#C9D1D9"}}},{content:"import",props:{style:{color:"#FF7B72"}}},{content:" 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These methods can access input values using\xa0",(0,n.jsx)(t.code,{children:"self."})," , return processed values and define what to be displayed in the component with the\xa0",(0,n.jsx)(t.code,{children:"self.status"}),"\xa0attribute."]}),"\n"]}),"\n",(0,n.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:" def ",props:{style:{color:"#FF7B72"}}},{content:"build_output",props:{style:{color:"#D2A8FF"}}},{content:"(self) -> Data:",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" data ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" Data(",props:{style:{color:"#C9D1D9"}}},{content:"value",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"self",props:{style:{color:"#79C0FF"}}},{content:".input_value)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" self",props:{style:{color:"#79C0FF"}}},{content:".status ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" data",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" return",props:{style:{color:"#FF7B72"}}},{content:" data",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,n.jsxs)(t.ol,{start:"7",children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Use Proper Annotations"}),": Ensure that output methods are properly annotated with their types. Langflow uses these annotations to validate and handle data correctly. For example, this method is annotated to output ",(0,n.jsx)(t.code,{children:"Data"}),"."]}),"\n"]}),"\n",(0,n.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:" def ",props:{style:{color:"#FF7B72"}}},{content:"build_output",props:{style:{color:"#D2A8FF"}}},{content:"(self) -> Data:",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,n.jsxs)(t.ol,{start:"8",children:["\n",(0,n.jsxs)(t.li,{children:["Click ",(0,n.jsx)(t.strong,{children:"Check & Save"})," to confirm your component works.\nYou now have an operational custom component."]}),"\n"]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:e(2224).A+"",width:"1984",height:"1116"})}),"\n",(0,n.jsx)(t.h2,{id:"add-inputs-and-modify-output-methods",children:"Add inputs and modify output methods"}),"\n",(0,n.jsx)(t.p,{children:"This code defines a custom component that accepts 5 inputs and outputs a 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"""',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" Process the user inputs and return a Message object.",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" Returns:",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" Message: A Message object containing the processed information.",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' """',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" try",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" processed_text ",props:{style:{color:"#C9D1D9"}}},{content:"= f",props:{style:{color:"#FF7B72"}}},{content:'"User ',props:{style:{color:"#A5D6FF"}}},{content:"{self",props:{style:{color:"#79C0FF"}}},{content:".username",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:" (Age: ",props:{style:{color:"#A5D6FF"}}},{content:"{self",props:{style:{color:"#79C0FF"}}},{content:".age",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:", Gender: ",props:{style:{color:"#A5D6FF"}}},{content:"{self",props:{style:{color:"#79C0FF"}}},{content:".gender",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:') "',props:{style:{color:"#A5D6FF"}}},{content:" \\",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" f",props:{style:{color:"#FF7B72"}}},{content:'"sent the following special message: ',props:{style:{color:"#A5D6FF"}}},{content:"{self",props:{style:{color:"#79C0FF"}}},{content:".special_message",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" return",props:{style:{color:"#FF7B72"}}},{content:" Message(",props:{style:{color:"#C9D1D9"}}},{content:"text",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"processed_text)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" except ",props:{style:{color:"#FF7B72"}}},{content:"AttributeError ",props:{style:{color:"#79C0FF"}}},{content:"as",props:{style:{color:"#FF7B72"}}},{content:" e:",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" return",props:{style:{color:"#FF7B72"}}},{content:" Message(",props:{style:{color:"#C9D1D9"}}},{content:"text",props:{style:{color:"#FFA657"}}},{content:"=f",props:{style:{color:"#FF7B72"}}},{content:'"Error processing inputs: ',props:{style:{color:"#A5D6FF"}}},{content:"{str",props:{style:{color:"#79C0FF"}}},{content:"(e)",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:")",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,n.jsxs)(t.p,{children:["Since the component outputs a ",(0,n.jsx)(t.code,{children:"Message"}),", you can wire it into a chat and pass messages to yourself."]}),"\n",(0,n.jsxs)(t.p,{children:["Your Custom Component accepts the Chat Input message through ",(0,n.jsx)(t.code,{children:"MessageTextInput"}),", fills in the variables with the ",(0,n.jsx)(t.code,{children:"process_inputs"})," method, and finally passes the message ",(0,n.jsx)(t.code,{children:"User Username (Age: 49, Gender: Male) sent the following special message: Hello!"})," to Chat Output."]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{src:e(8211).A+"",width:"2662",height:"1394"})}),"\n",(0,n.jsx)(t.p,{children:"By defining inputs this way, Langflow can automatically handle the validation and display of these fields in the user interface, making it easier to create robust and user-friendly custom components."}),"\n",(0,n.jsxs)(t.p,{children:["All of the types detailed above derive from a general class that can also be accessed through the generic\xa0",(0,n.jsx)(t.code,{children:"Input"}),"\xa0class."]}),"\n",(0,n.jsx)(t.admonition,{type:"tip",children:(0,n.jsxs)(t.p,{children:["Use ",(0,n.jsx)(t.code,{children:"MessageInput"})," to get the entire Message object instead of just the text."]})}),"\n",(0,n.jsx)(t.h2,{id:"3815589831f24ab792328ed233c8b00d",children:"Input Types"}),"\n",(0,n.jsx)(t.hr,{}),"\n",(0,n.jsx)(t.p,{children:"Langflow provides several higher-level input types to simplify the creation of custom components. These input types standardize how inputs are defined, validated, and used. Here\u2019s a guide on how to use these inputs and their primary purposes:"}),"\n",(0,n.jsx)(t.h3,{id:"fb06c48a326043ffa46badc1ab3ba467",children:(0,n.jsx)(t.strong,{children:"HandleInput"})}),"\n",(0,n.jsxs)(t.p,{children:["Represents an input that has a handle to a specific type (e.g.,\xa0",(0,n.jsx)(t.code,{children:"BaseLanguageModel"}),",\xa0",(0,n.jsx)(t.code,{children:"BaseRetriever"}),", etc.)."]}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Usage:"}),"\xa0Useful for connecting to specific component types in a flow."]}),"\n"]}),"\n",(0,n.jsx)(t.h3,{id:"0e1dcb768e38487180d720b0884a90f5",children:(0,n.jsx)(t.strong,{children:"DataInput"})}),"\n",(0,n.jsxs)(t.p,{children:["Represents an input that receives a\xa0",(0,n.jsx)(t.code,{children:"Data"}),"\xa0object."]}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Usage:"}),"\xa0Ideal for components that process or manipulate data objects."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(t.code,{children:'["Data"]'})]}),"\n"]}),"\n",(0,n.jsx)(t.h3,{id:"4ec6e68ad9ab4cd194e8e607bc5b3411",children:(0,n.jsx)(t.strong,{children:"StrInput"})}),"\n",(0,n.jsx)(t.p,{children:"Represents a standard string input field."}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Usage:"}),"\xa0Used for any text input where the user needs to provide a string."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(t.code,{children:'["Text"]'})]}),"\n"]}),"\n",(0,n.jsx)(t.h3,{id:"9292ac0105e14177af5eff2131b9c71b",children:(0,n.jsx)(t.strong,{children:"MessageInput"})}),"\n",(0,n.jsxs)(t.p,{children:["Represents an input field specifically for\xa0",(0,n.jsx)(t.code,{children:"Message"}),"\xa0objects."]}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Usage:"}),"\xa0Used in components that handle or process messages."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(t.code,{children:'["Message"]'})]}),"\n"]}),"\n",(0,n.jsx)(t.h3,{id:"5511f5e32b944b4e973379a6bd5405e4",children:(0,n.jsx)(t.strong,{children:"MessageTextInput"})}),"\n",(0,n.jsx)(t.p,{children:"Represents a text input for messages."}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Usage:"}),"\xa0Suitable for components that need to extract text from message objects."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Input 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field."}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Usage:"}),"\xa0Used to upload files."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Attributes:"}),"\xa0",(0,n.jsx)(t.code,{children:"file_types"}),"\xa0to specify the types of files that can be uploaded."]}),"\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.strong,{children:"Input Types:"}),"\xa0",(0,n.jsx)(t.code,{children:'["File"]'})]}),"\n"]}),"\n",(0,n.jsx)(t.h3,{id:"278e2027493e45b68746af0a5b6c06f6",children:"Generic Input"}),"\n",(0,n.jsx)(t.hr,{}),"\n",(0,n.jsxs)(t.p,{children:["Langflow offers native input types, but you can use any type as long as they are properly annotated in the output methods (e.g.,\xa0",(0,n.jsx)(t.code,{children:"-> list[int]"}),")."]}),"\n",(0,n.jsxs)(t.p,{children:["The\xa0",(0,n.jsx)(t.code,{children:"Input"}),"\xa0class is highly customizable, allowing you to specify a wide range of attributes for each input field. 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The first output returns the processed data, while the second output returns the processing function itself."}),"\n",(0,n.jsxs)(t.p,{children:["The\xa0",(0,n.jsx)(t.code,{children:"processing_function"}),"\xa0output can be used in scenarios where the function itself is needed for further processing or dynamic flow control. Notice how both outputs are properly annotated with their respective types, ensuring clarity and type safety."]}),"\n",(0,n.jsx)(t.h2,{id:"special-operations",children:"Special Operations"}),"\n",(0,n.jsx)(t.p,{children:"Advanced methods and attributes offer additional control and functionality. Understanding how to leverage these can enhance your custom components' capabilities."}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:[(0,n.jsx)(t.code,{children:"self.inputs"}),": Access all defined inputs. 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index 6d164f8364..d4435c575f 100644 --- a/components-embedding-models.html +++ b/components-embedding-models.html @@ -10,7 +10,7 @@ - + diff --git a/components-helpers.html b/components-helpers.html index fca164fdc1..6abb708f87 100644 --- a/components-helpers.html +++ b/components-helpers.html @@ -10,7 +10,7 @@ - + diff --git a/components-io.html b/components-io.html index f32bb230d4..d512a1f7ec 100644 --- a/components-io.html +++ b/components-io.html @@ -10,7 +10,7 @@ - + diff --git a/components-loaders.html b/components-loaders.html index 05195f7b40..23d9cfa728 100644 --- a/components-loaders.html +++ b/components-loaders.html @@ -10,7 +10,7 @@ - + diff --git a/components-models.html b/components-models.html index 7c1d4ede95..ee14b5a2fc 100644 --- a/components-models.html +++ b/components-models.html @@ -10,7 +10,7 @@ - + diff --git a/components-prompts.html b/components-prompts.html index 9f04ff1a74..da49aa3144 100644 --- a/components-prompts.html +++ b/components-prompts.html @@ -10,7 +10,7 @@ - + diff --git a/components-rag.html b/components-rag.html index 6d6c68ee7a..beb680e22b 100644 --- a/components-rag.html +++ b/components-rag.html @@ -10,7 +10,7 @@ - + diff --git a/components-vector-stores.html b/components-vector-stores.html index 5abd840de8..f51b7700dd 100644 --- a/components-vector-stores.html +++ b/components-vector-stores.html @@ -10,7 +10,7 @@ - + diff --git a/components.html b/components.html index 062eee634b..e9e3dfb006 100644 --- a/components.html +++ b/components.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-api-keys.html b/configuration-api-keys.html index 3a59c0fdb9..63d878311f 100644 --- a/configuration-api-keys.html +++ b/configuration-api-keys.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-authentication.html b/configuration-authentication.html index 12192176b7..677c46f9fb 100644 --- a/configuration-authentication.html +++ b/configuration-authentication.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-auto-save.html b/configuration-auto-save.html index 5deafef4d0..ecfd87bfd9 100644 --- a/configuration-auto-save.html +++ b/configuration-auto-save.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-backend-only.html b/configuration-backend-only.html index 14fa557770..3d51c3110d 100644 --- a/configuration-backend-only.html +++ b/configuration-backend-only.html @@ -10,7 +10,7 @@ - + diff --git a/configuration-cli.html b/configuration-cli.html index 3f9f3c3542..c796db47d0 100644 --- a/configuration-cli.html +++ b/configuration-cli.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-community.html b/contributing-community.html index 4e7c93ef21..8005759d17 100644 --- a/contributing-community.html +++ b/contributing-community.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-github-issues.html b/contributing-github-issues.html index 104eccc688..79ceb16c3b 100644 --- a/contributing-github-issues.html +++ b/contributing-github-issues.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-how-to-contribute.html b/contributing-how-to-contribute.html index 6dda1795a3..29fe95ef21 100644 --- a/contributing-how-to-contribute.html +++ b/contributing-how-to-contribute.html @@ -10,7 +10,7 @@ - + diff --git a/contributing-telemetry.html b/contributing-telemetry.html index 78c99bc907..555f29bc76 100644 --- a/contributing-telemetry.html +++ b/contributing-telemetry.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-docker.html b/deployment-docker.html index 6857084712..9c53eed0e0 100644 --- a/deployment-docker.html +++ b/deployment-docker.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-gcp.html b/deployment-gcp.html index 080bd9baad..1382b1b49d 100644 --- a/deployment-gcp.html +++ b/deployment-gcp.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-hugging-face-spaces.html b/deployment-hugging-face-spaces.html index caaa79b925..9cf1a97db0 100644 --- a/deployment-hugging-face-spaces.html +++ b/deployment-hugging-face-spaces.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-kubernetes.html b/deployment-kubernetes.html index 0ee0709fa0..ae999e86cf 100644 --- a/deployment-kubernetes.html +++ b/deployment-kubernetes.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-railway.html b/deployment-railway.html index 4c1085ca94..7b405d4144 100644 --- a/deployment-railway.html +++ b/deployment-railway.html @@ -10,7 +10,7 @@ - + diff --git a/deployment-render.html b/deployment-render.html index 7c1bb70042..772c3b0bc6 100644 --- a/deployment-render.html +++ b/deployment-render.html @@ -10,7 +10,7 @@ - + diff --git a/getting-started-common-installation-issues.html b/getting-started-common-installation-issues.html index c327e2850c..cbd256bf3b 100644 --- a/getting-started-common-installation-issues.html +++ b/getting-started-common-installation-issues.html @@ -10,7 +10,7 @@ - + diff --git a/getting-started-installation.html b/getting-started-installation.html index 4b2cccae1c..aafd213c56 100644 --- a/getting-started-installation.html +++ b/getting-started-installation.html @@ -10,7 +10,7 @@ - + diff --git a/getting-started-quickstart.html b/getting-started-quickstart.html index d58c24d142..a82c8d6ede 100644 --- a/getting-started-quickstart.html +++ b/getting-started-quickstart.html @@ -10,7 +10,7 @@ - + diff --git a/guides-chat-memory.html b/guides-chat-memory.html index 0406bbf2cf..d058fe2a32 100644 --- a/guides-chat-memory.html +++ b/guides-chat-memory.html @@ -10,7 +10,7 @@ - + diff --git a/guides-data-message.html b/guides-data-message.html index dbd18f1cf0..914b4ded85 100644 --- a/guides-data-message.html +++ b/guides-data-message.html @@ -10,7 +10,7 @@ - + diff --git a/guides-new-to-llms.html b/guides-new-to-llms.html index dec0e2b9bd..cf7f17b3a6 100644 --- a/guides-new-to-llms.html +++ b/guides-new-to-llms.html @@ -10,7 +10,7 @@ - + diff --git a/index.html b/index.html index dbc146ec8b..db905014ce 100644 --- a/index.html +++ b/index.html @@ -10,7 +10,7 @@ - + diff --git a/integrations-langsmith.html b/integrations-langsmith.html index 4fe1f9611d..8f07d0bdcd 100644 --- a/integrations-langsmith.html +++ b/integrations-langsmith.html @@ -10,7 +10,7 @@ - + diff --git a/integrations-langwatch.html b/integrations-langwatch.html index e7a410c016..40be6d57ae 100644 --- a/integrations-langwatch.html +++ b/integrations-langwatch.html @@ -10,7 +10,7 @@ - + diff --git a/settings-global-variables.html b/settings-global-variables.html index 0afd289e84..6c68f3320f 100644 --- a/settings-global-variables.html +++ b/settings-global-variables.html @@ -10,7 +10,7 @@ - + diff --git a/settings-project-general-settings.html b/settings-project-general-settings.html index 2ec8c069e9..040ac3c90a 100644 --- a/settings-project-general-settings.html +++ b/settings-project-general-settings.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-basic-prompting.html b/starter-projects-basic-prompting.html index eb7a711f80..f3e3729343 100644 --- a/starter-projects-basic-prompting.html +++ b/starter-projects-basic-prompting.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-blog-writer.html b/starter-projects-blog-writer.html index 4487fe141d..6b011c2581 100644 --- a/starter-projects-blog-writer.html +++ b/starter-projects-blog-writer.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-document-qa.html b/starter-projects-document-qa.html index a7f788a691..33e7538f28 100644 --- a/starter-projects-document-qa.html +++ b/starter-projects-document-qa.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-memory-chatbot.html b/starter-projects-memory-chatbot.html index 6dc73ec8d8..de7d318890 100644 --- a/starter-projects-memory-chatbot.html +++ b/starter-projects-memory-chatbot.html @@ -10,7 +10,7 @@ - + diff --git a/starter-projects-vector-store-rag.html b/starter-projects-vector-store-rag.html index 6b9ef6a335..c2c1401b4e 100644 --- a/starter-projects-vector-store-rag.html +++ b/starter-projects-vector-store-rag.html @@ -10,7 +10,7 @@ - + diff --git a/whats-new-a-new-chapter-langflow.html b/whats-new-a-new-chapter-langflow.html index 1198123e00..0d03ec48e2 100644 --- a/whats-new-a-new-chapter-langflow.html +++ b/whats-new-a-new-chapter-langflow.html @@ -10,7 +10,7 @@ - + diff --git a/workspace-api.html b/workspace-api.html index 27d1ca7d26..8d1a77dc0c 100644 --- a/workspace-api.html +++ b/workspace-api.html @@ -10,7 +10,7 @@ - + diff --git a/workspace-logs.html b/workspace-logs.html index da6f04bf92..388ef99ce7 100644 --- a/workspace-logs.html +++ b/workspace-logs.html @@ -10,7 +10,7 @@ - + diff --git a/workspace-playground.html b/workspace-playground.html index 59af44f793..b8c8ecd095 100644 --- a/workspace-playground.html +++ b/workspace-playground.html @@ -10,7 +10,7 @@ - + diff --git a/workspace.html b/workspace.html index f36dee00e4..0e8e1471a7 100644 --- a/workspace.html +++ b/workspace.html @@ -10,7 +10,7 @@ - +

    Custom Components

    -

    Langflow components can be created from within the platform, allowing users to extend the platform's functionality using Python code. They encapsulate are designed to be independent units, reusable across different workflows.

    -

    These components can be easily connected within a language model pipeline, adding freedom and flexibility to what can be included in between user and AI messages.

    -

    -

    Since Langflow operates with Python behind the scenes, you can implement any Python function within a Custom Component. This means you can leverage the power of libraries such as Pandas, Scikit-learn, Numpy, and thousands of packages to create components that handle data processing in unlimited ways.

    -

    Custom Components are not just about extending functionality; they also streamline the development process. By creating reusable and configurable components, you can enhance the capabilities of Langflow, making it a powerful tool for developing complex workflows.

    -

    Key Characteristics:​

    +
    +

    Custom Components

    +

    Custom components are created within Langflow and extend the platform's functionality with custom, resusable Python code.

    +

    Since Langflow operates with Python behind the scenes, you can implement any Python function within a Custom Component. This means you can leverage the power of libraries such as Pandas, Scikit-learn, Numpy, and thousands of other packages to create components that handle data processing in unlimited ways. You can use any type as long as the type is properly annotated in the output methods (e.g., > list[int]).

    +

    Custom Components create reusable and configurable components to enhance the capabilities of Langflow, making it a powerful tool for developing complex processing between user and AI messages.

    +

    How to Create Custom Components​

    +

    Creating custom components in Langflow involves creating a Python class that defines the component's functionality, inputs, and outputs. +The default code provides a working structure for your custom component.

    +

    _25
    # from langflow.field_typing import Data
    _25
    from langflow.custom import Component
    _25
    from langflow.io import MessageTextInput, Output
    _25
    from langflow.schema import Data
    _25
    _25
    _25
    class CustomComponent(Component):
    _25
    display_name = "Custom Component"
    _25
    description = "Use as a template to create your own component."
    _25
    documentation: str = "http://docs.langflow.org/components/custom"
    _25
    icon = "custom_components"
    _25
    name = "CustomComponent"
    _25
    _25
    inputs = [
    _25
    MessageTextInput(name="input_value", display_name="Input Value", value="Hello, World!"),
    _25
    ]
    _25
    _25
    outputs = [
    _25
    Output(display_name="Output", name="output", method="build_output"),
    _25
    ]
    _25
    _25
    def build_output(self) -> Data:
    _25
    data = Data(value=self.input_value)
    _25
    self.status = data
    _25
    return data

    +

    You can create your class in your favorite text editor outside of Langflow and paste it in later, or just follow along in the code pane.

      -
    1. Modular and Reusable: Designed as independent units, components encapsulate specific functionality, making them reusable across different projects and workflows.
      2. -
    2. Integration with Python Libraries: You can import libraries like Pandas, Scikit-learn, Numpy, etc., to build components that handle data processing, machine learning, numerical computations, and more.
      3. -
    3. Flexible Inputs and Outputs: While Langflow offers native input and output types, you can use any type as long as they are properly annotated in the output methods (e.g., > list[int]).
      4. -
    4. Python-Powered: Since Langflow operates with Python behind the scenes, any Python function can be implemented within a custom component.
      5. -
    5. Enhanced Workflow: Custom components serve as reusable building blocks, enabling you to create pre-processing visual blocks with ease and integrate them into your language model pipeline.
      6. +
    6. In Langflow, from under Helpers, drag a Custom Component into the workspace.
      7. +
    7. Open the component's code pane.
      8. +
    8. Import dependencies. +Your custom component inherits from the langflow Component class so you need to include it.
    -

    Why Use Custom Components?​

    -
      -
    • Customization: Tailor the functionality to your specific needs by writing Python code that suits your workflow.
      • -
    • Flexibility: Add any Python-based logic or processing step between user/AI messages, enhancing the flexibility of Langflow.
      • -
    • Efficiency: Streamline your development process by creating reusable, configurable components that can be easily deployed.
      • -
    -

    How to Write Them​

    -
    -

    Writing custom components in Langflow involves creating a Python class that defines the component's functionality, inputs, and outputs. The process involves a few key steps:

    -
      +

      _10
      from langflow.custom import Component
      _10
      from langflow.io import MessageTextInput, Output
      _10
      from langflow.schema import Data

      +
      1. Define the Class: Start by defining a Python class that inherits from Component. This class will encapsulate the functionality of your custom component.
        2. -
      2. Specify Inputs and Outputs: Use Langflow's input and output classes to define the inputs and outputs of your component. They should be declared as class attributes.
        3. -
      3. Implement Output Methods: Implement methods for each output, which contains the logic of your component. These methods can access input values using self.<input_name> , return processed values and define what to be displayed in the component with the self.status attribute.
        4. -
      4. Use Proper Annotations: Ensure that output methods are properly annotated with their types. Langflow uses these annotations to validate and handle data correctly.
      -

      Here's a basic structure of a custom component:

      -

      _31
      from langflow.custom import Component
      _31
      from langflow.inputs import StrInput, IntInput
      _31
      from langflow.template import Output
      _31
      _31
      class MyCustomComponent(Component):
      _31
      icon = "coffee" # check lucide.dev/icons or pass an emoji
      _31
      _31
      inputs = [
      _31
      StrInput(
      _31
      name="input_text",
      _31
      display_name="Input Text",
      _31
      info="Text to be processed.",
      _31
      ),
      _31
      IntInput(
      _31
      name="input_number",
      _31
      display_name="Input Number",
      _31
      info="Number to be processed.",
      _31
      ),
      _31
      ]
      _31
      _31
      outputs = [
      _31
      Output(display_name="Processed Text", name="processed_text", method="process_text"),
      _31
      ]
      _31
      _31
      def process_text(self) -> str:
      _31
      input_text = self.input_text
      _31
      input_number = self.input_number
      _31
      # Implement your logic here
      _31
      processed_text = f"{input_text} processed with number {input_number}"
      _31
      self.status = processed_text
      _31
      return processed_text

      -

      Paste that code into the Custom Component code snippet and click Check & Save.

      -

      -

      You should see something like the component below. Double click the name or description areas to edit them.

      -

      +

      _10
      class CustomComponent(Component):
      _10
      display_name = "Custom Component"
      _10
      description = "Use as a template to create your own component."
      _10
      documentation: str = "http://docs.langflow.org/components/custom"
      _10
      icon = "custom_components"
      _10
      name = "CustomComponent"

      +
        +
      1. Specify Inputs and Outputs: Use Langflow's input and output classes to define the inputs and outputs of your component. They should be declared as class attributes.
        2. +
      +

      _10
      inputs = [
      _10
      MessageTextInput(name="input_value", display_name="Input Value", value="Hello, World!"),
      _10
      ]
      _10
      _10
      outputs = [
      _10
      Output(display_name="Output", name="output", method="build_output"),
      _10
      ]

      +
        +
      1. Implement Output Methods: Implement methods for each output, which contains the logic of your component. These methods can access input values using self.<input_name> , return processed values and define what to be displayed in the component with the self.status attribute.
        2. +
      +

      _10
      def build_output(self) -> Data:
      _10
      data = Data(value=self.input_value)
      _10
      self.status = data
      _10
      return data

      +
        +
      1. Use Proper Annotations: Ensure that output methods are properly annotated with their types. Langflow uses these annotations to validate and handle data correctly. For example, this method is annotated to output Data.
        2. +
      +

      _10
      def build_output(self) -> Data:

      +
        +
      1. Click Check & Save to confirm your component works. +You now have an operational custom component.
        2. +
      +

      +

      Add inputs and modify output methods​

      +

      This code defines a custom component that accepts 5 inputs and outputs a Message.

      +

      Copy and paste it into the Custom Component code pane and click Check & Save.

      +

      _55
      from langflow.custom import Component
      _55
      from langflow.inputs import StrInput, MultilineInput, SecretStrInput, IntInput, DropdownInput
      _55
      from langflow.template import Output, Input
      _55
      from langflow.schema.message import Message
      _55
      _55
      class MyCustomComponent(Component):
      _55
      display_name = "My Custom Component"
      _55
      description = "An example of a custom component with various input types."
      _55
      _55
      inputs = [
      _55
      StrInput(
      _55
      name="username",
      _55
      display_name="Username",
      _55
      info="Enter your username."
      _55
      ),
      _55
      SecretStrInput(
      _55
      name="password",
      _55
      display_name="Password",
      _55
      info="Enter your password."
      _55
      ),
      _55
      MessageTextInput(
      _55
      name="special_message",
      _55
      display_name="special_message",
      _55
      info="Enter a special message.",
      _55
      ),
      _55
      IntInput(
      _55
      name="age",
      _55
      display_name="Age",
      _55
      info="Enter your age."
      _55
      ),
      _55
      DropdownInput(
      _55
      name="gender",
      _55
      display_name="Gender",
      _55
      options=["Male", "Female", "Other"],
      _55
      info="Select your gender."
      _55
      )
      _55
      ]
      _55
      _55
      outputs = [
      _55
      Output(display_name="Result", name="result", method="process_inputs"),
      _55
      ]
      _55
      _55
      def process_inputs(self) -> Message:
      _55
      """
      _55
      Process the user inputs and return a Message object.
      _55
      _55
      Returns:
      _55
      Message: A Message object containing the processed information.
      _55
      """
      _55
      try:
      _55
      processed_text = f"User {self.username} (Age: {self.age}, Gender: {self.gender}) " \
      _55
      f"sent the following special message: {self.special_message}"
      _55
      return Message(text=processed_text)
      _55
      except AttributeError as e:
      _55
      return Message(text=f"Error processing inputs: {str(e)}")

      +

      Since the component outputs a Message, you can wire it into a chat and pass messages to yourself.

      +

      Your Custom Component accepts the Chat Input message through MessageTextInput, fills in the variables with the process_inputs method, and finally passes the message User Username (Age: 49, Gender: Male) sent the following special message: Hello! to Chat Output.

      +

      +

      By defining inputs this way, Langflow can automatically handle the validation and display of these fields in the user interface, making it easier to create robust and user-friendly custom components.

      +

      All of the types detailed above derive from a general class that can also be accessed through the generic Input class.

      +
      tip

      Use MessageInput to get the entire Message object instead of just the text.

      Input Types​

      Langflow provides several higher-level input types to simplify the creation of custom components. These input types standardize how inputs are defined, validated, and used. Here’s a guide on how to use these inputs and their primary purposes:

      @@ -141,10 +154,6 @@
    1. Attributes: file_types to specify the types of files that can be uploaded.
    2. Input Types: ["File"]
      3. -

      Here is an example of how these inputs can be defined in a custom component:

      -

      _44
      from langflow.custom import Component
      _44
      from langflow.inputs import StrInput, MultilineInput, SecretStrInput, IntInput, DropdownInput
      _44
      from langflow.template import Output, Input
      _44
      _44
      class MyCustomComponent(Component):
      _44
      display_name = "My Custom Component"
      _44
      description = "An example of a custom component with various input types."
      _44
      _44
      inputs = [
      _44
      StrInput(
      _44
      name="username",
      _44
      display_name="Username",
      _44
      info="Enter your username."
      _44
      ),
      _44
      SecretStrInput(
      _44
      name="password",
      _44
      display_name="Password",
      _44
      info="Enter your password."
      _44
      ),
      _44
      MultilineInput(
      _44
      name="description",
      _44
      display_name="Description",
      _44
      info="Enter a detailed description.",
      _44
      ),
      _44
      IntInput(
      _44
      name="age",
      _44
      display_name="Age",
      _44
      info="Enter your age."
      _44
      ),
      _44
      DropdownInput(
      _44
      name="gender",
      _44
      display_name="Gender",
      _44
      options=["Male", "Female", "Other"],
      _44
      info="Select your gender."
      _44
      )
      _44
      ]
      _44
      _44
      outputs = [
      _44
      Output(display_name="Result", name="result", method="process_inputs"),
      _44
      ]
      _44
      _44
      def process_inputs(self):
      _44
      # Your processing logic here
      _44
      return "Processed"

      -

      By defining inputs this way, Langflow can automatically handle the validation and display of these fields in the user interface, making it easier to create robust and user-friendly custom components.

      -

      All of the types detailed above derive from a general class that can also be accessed through the generic Input class.

      Generic Input​

      Langflow offers native input types, but you can use any type as long as they are properly annotated in the output methods (e.g., -> list[int]).

      @@ -174,23 +183,33 @@
    3. load_from_db: Boolean indicating if the field should load from the database. Default is False.
    4. title_case: Boolean indicating if the display name should be in title case. Default is True.
      5. -

      Below is an example of how to define inputs for a component using the Input class:

      -

      _48
      from langflow.template import Input, Output
      _48
      from langflow.custom import Component
      _48
      from langflow.field_typing import Text
      _48
      _48
      class ExampleComponent(Component):
      _48
      display_name = "Example Component"
      _48
      description = "An example component demonstrating input fields."
      _48
      _48
      inputs = [
      _48
      Input(
      _48
      name="input_text",
      _48
      display_name="Input Text",
      _48
      field_type="str",
      _48
      required=True,
      _48
      placeholder="Enter some text",
      _48
      multiline=True,
      _48
      info="This is a required text input.",
      _48
      input_types=["Text"]
      _48
      ),
      _48
      Input(
      _48
      name="max_length",
      _48
      display_name="Max Length",
      _48
      field_type="int",
      _48
      required=False,
      _48
      placeholder="Maximum length",
      _48
      info="Enter the maximum length of the text.",
      _48
      range_spec={"min": 0, "max": 1000},
      _48
      ),
      _48
      Input(
      _48
      name="options",
      _48
      display_name="Options",
      _48
      field_type="str",
      _48
      is_list=True,
      _48
      options=["Option 1", "Option 2", "Option 3"],
      _48
      info="Select one or more options."
      _48
      ),
      _48
      ]
      _48
      _48
      outputs = [
      _48
      Output(display_name="Result", name="result", method="process_input"),
      _48
      ]
      _48
      _48
      def process_input(self) -> Text:
      _48
      # Process the inputs and generate output
      _48
      return Text(value=f"Processed: {self.input_text}, Max Length: {self.max_length}, Options: {self.options}")
      _48
      _48
      # Define how to use the inputs and outputs
      _48
      component = ExampleComponent()

      -

      In this example:

      +

      Create a Custom Component with Generic Input​

      +

      Here is an example of how to define inputs for a component using the Input class.

      +

      Copy and paste it into the Custom Component code pane and click Check & Save.

      +

      _76
      from langflow.template import Input, Output
      _76
      from langflow.custom import Component
      _76
      from langflow.field_typing import Text
      _76
      from langflow.schema.message import Message
      _76
      from typing import Dict, Any
      _76
      _76
      class TextAnalyzerComponent(Component):
      _76
      display_name = "Text Analyzer"
      _76
      description = "Analyzes input text and provides basic statistics."
      _76
      _76
      inputs = [
      _76
      Input(
      _76
      name="input_text",
      _76
      display_name="Input Text",
      _76
      field_type="Message",
      _76
      required=True,
      _76
      placeholder="Enter text to analyze",
      _76
      multiline=True,
      _76
      info="The text you want to analyze.",
      _76
      input_types=["Text"]
      _76
      ),
      _76
      Input(
      _76
      name="include_word_count",
      _76
      display_name="Include Word Count",
      _76
      field_type="bool",
      _76
      required=False,
      _76
      info="Whether to include word count in the analysis.",
      _76
      ),
      _76
      Input(
      _76
      name="perform_sentiment_analysis",
      _76
      display_name="Perform Sentiment Analysis",
      _76
      field_type="bool",
      _76
      required=False,
      _76
      info="Whether to perform basic sentiment analysis.",
      _76
      ),
      _76
      ]
      _76
      _76
      outputs = [
      _76
      Output(display_name="Analysis Results", name="results", method="analyze_text"),
      _76
      ]
      _76
      _76
      def analyze_text(self) -> Message:
      _76
      # Extract text from the Message object
      _76
      if isinstance(self.input_text, Message):
      _76
      text = self.input_text.text
      _76
      else:
      _76
      text = str(self.input_text)
      _76
      _76
      results = {
      _76
      "character_count": len(text),
      _76
      "sentence_count": text.count('.') + text.count('!') + text.count('?')
      _76
      }
      _76
      _76
      if self.include_word_count:
      _76
      results["word_count"] = len(text.split())
      _76
      _76
      if self.perform_sentiment_analysis:
      _76
      # Basic sentiment analysis
      _76
      text_lower = text.lower()
      _76
      if "happy" in text_lower or "good" in text_lower:
      _76
      sentiment = "positive"
      _76
      elif "sad" in text_lower or "bad" in text_lower:
      _76
      sentiment = "negative"
      _76
      else:
      _76
      sentiment = "neutral"
      _76
      _76
      results["sentiment"] = sentiment
      _76
      _76
      # Convert the results dictionary to a formatted string
      _76
      formatted_results = "\n".join([f"{key}: {value}" for key, value in results.items()])
      _76
      _76
      # Return a Message object
      _76
      return Message(text=formatted_results)
      _76
      _76
      # Define how to use the inputs and outputs
      _76
      component = TextAnalyzerComponent()

      +

      In this custom component:

        -
      • The input_text input is a required multi-line text field.
        • -
      • The max_length input is an optional integer field with a range specification.
        • -
      • The options input is a list of strings with predefined options.
        • +
      • +

        The input_text input is a required multi-line text field that accepts a Message object or a string. It's used to provide the text for analysis.

        +
        • +
      • +

        The include_word_count input is an optional boolean field. When set to True, it adds a word count to the analysis results.

        +
        • +
      • +

        The perform_sentiment_analysis input is an optional boolean field. When set to True, it triggers a basic sentiment analysis of the input text.

        +
      -

      These attributes allow for a high degree of customization, making it easy to create input fields that suit the needs of your specific component.

      -

      Multiple Outputs​

      +

      The component performs basic text analysis, including character count and sentence count (based on punctuation marks). If word count is enabled, it splits the text and counts the words. If sentiment analysis is enabled, it performs a simple keyword-based sentiment classification (positive, negative, or neutral).

      +

      Since the component inputs and outputs a Message, you can wire the component into a chat and see how the basic custom component logic interacts with your input.

      +

      +

      Create a Custom Component with Multiple Outputs​

      In Langflow, custom components can have multiple outputs. Each output can be associated with a specific method in the component, allowing you to define distinct behaviors for each output path. This feature is particularly useful when you want to route data based on certain conditions or process it in multiple ways.

      1. Definition of Outputs: Each output is defined in the outputs list of the component. Each output is associated with a display name, an internal name, and a method that gets called to generate the output.
      2. Output Methods: The methods associated with outputs are responsible for generating the data for that particular output. These methods are called when the component is executed, and each method can independently produce its result.
      -

      Below is an example of a component with two outputs:

      +

      This example component has two outputs:

      • process_data: Processes the input text (e.g., converts it to uppercase) and returns it.
      • get_processing_function: Returns the process_data method itself to be reused in composition.
        • @@ -198,8 +217,7 @@

        _33
        from typing import Callable
        _33
        from langflow.custom import Component
        _33
        from langflow.inputs import StrInput
        _33
        from langflow.template import Output
        _33
        from langflow.field_typing import Text
        _33
        _33
        class DualOutputComponent(Component):
        _33
        display_name = "Dual Output"
        _33
        description = "Processes input text and returns both the result and the processing function."
        _33
        icon = "double-arrow"
        _33
        _33
        inputs = [
        _33
        StrInput(
        _33
        name="input_text",
        _33
        display_name="Input Text",
        _33
        info="The text input to be processed.",
        _33
        ),
        _33
        ]
        _33
        _33
        outputs = [
        _33
        Output(display_name="Processed Data", name="processed_data", method="process_data"),
        _33
        Output(display_name="Processing Function", name="processing_function", method="get_processing_function"),
        _33
        ]
        _33
        _33
        def process_data(self) -> Text:
        _33
        # Process the input text (e.g., convert to uppercase)
        _33
        processed = self.input_text.upper()
        _33
        self.status = processed
        _33
        return processed
        _33
        _33
        def get_processing_function(self) -> Callable[[], Text]:
        _33
        # Return the processing function itself
        _33
        return self.process_data

        This example shows how to define multiple outputs in a custom component. The first output returns the processed data, while the second output returns the processing function itself.

        The processing_function output can be used in scenarios where the function itself is needed for further processing or dynamic flow control. Notice how both outputs are properly annotated with their respective types, ensuring clarity and type safety.

        -

        Special Operations​

        -
        +

        Special Operations​

        Advanced methods and attributes offer additional control and functionality. Understanding how to leverage these can enhance your custom components' capabilities.

        • self.inputs: Access all defined inputs. Useful when an output method needs to interact with multiple inputs.
          • @@ -207,6 +225,8 @@
        • self.status: Use this to update the component's status or intermediate results. It helps track the component's internal state or store temporary data.
        • self.graph.flow_id: Retrieve the flow ID, useful for maintaining context or debugging.
        • self.stop("output_name"): Use this method within an output function to prevent data from being sent through other components. This method stops next component execution and is particularly useful for specific operations where a component should stop from running based on specific conditions.
          • -

    Hi, how can I help you?

    + +

    Contribute Custom Components to Langflow​

    +

    See How to Contribute to contribute your custom component to Langflow.

    Hi, how can I help you?