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+ diff --git a/api/update-folder-redirect.html b/api/update-folder-redirect.html index 9fa1257ac3..6a437193f9 100644 --- a/api/update-folder-redirect.html +++ b/api/update-folder-redirect.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-message.html b/api/update-message.html index 92f54fc244..6f47edf356 100644 --- a/api/update-message.html +++ b/api/update-message.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-project-mcp-settings.html b/api/update-project-mcp-settings.html index cc1c1eb3d4..b482ed2b70 100644 --- a/api/update-project-mcp-settings.html +++ b/api/update-project-mcp-settings.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-project.html b/api/update-project.html index c6cac4d643..b8002a97af 100644 --- a/api/update-project.html +++ b/api/update-project.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-session-id.html b/api/update-session-id.html index b866cab4d2..8454e8a8c1 100644 --- a/api/update-session-id.html +++ b/api/update-session-id.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-shared-component.html b/api/update-shared-component.html index 8695b1aa3b..2cde041234 100644 --- a/api/update-shared-component.html +++ b/api/update-shared-component.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-variable.html b/api/update-variable.html index 9f1f61417b..1b0aac3062 100644 --- a/api/update-variable.html +++ b/api/update-variable.html @@ -21,7 +21,7 @@ - + diff --git a/api/upload-file-1.html b/api/upload-file-1.html index dd82fc2e2b..00f38e231b 100644 --- a/api/upload-file-1.html +++ b/api/upload-file-1.html @@ -21,7 +21,7 @@ - + diff --git a/api/upload-file-2.html b/api/upload-file-2.html index b80d5bf7b4..d868dd3bc0 100644 --- a/api/upload-file-2.html +++ b/api/upload-file-2.html @@ -21,7 +21,7 @@ - + diff --git a/api/upload-file-redirect.html b/api/upload-file-redirect.html index 166fefc1c1..1c5847368e 100644 --- a/api/upload-file-redirect.html +++ b/api/upload-file-redirect.html @@ -21,7 +21,7 @@ - + diff --git a/api/upload-file.html b/api/upload-file.html index 66df827238..6230f9a144 100644 --- a/api/upload-file.html +++ b/api/upload-file.html @@ -21,7 +21,7 @@ - + diff --git a/api/upload-user-file-1.html b/api/upload-user-file-1.html index 40fbad9d6f..36f3c11504 100644 --- a/api/upload-user-file-1.html +++ b/api/upload-user-file-1.html @@ -21,7 +21,7 @@ - + diff --git a/api/upload-user-file.html b/api/upload-user-file.html index 5bbccad379..4f206f83e3 100644 --- a/api/upload-user-file.html +++ b/api/upload-user-file.html @@ -21,7 +21,7 @@ - + diff --git a/api/webhook-run-flow.html b/api/webhook-run-flow.html index 3418cf84ce..14641e0c19 100644 --- a/api/webhook-run-flow.html +++ b/api/webhook-run-flow.html @@ -21,7 +21,7 @@ - + diff --git a/assets/js/2ab0d4f5.806a63ef.js b/assets/js/2ab0d4f5.806a63ef.js new file mode 100644 index 0000000000..41f45f4058 --- /dev/null +++ b/assets/js/2ab0d4f5.806a63ef.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[1845],{28453:(e,n,t)=>{t.d(n,{R:()=>a,x:()=>o});var i=t(96540);const s={},r=i.createContext(s);function a(e){const n=i.useContext(r);return i.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:a(e.components),i.createElement(r.Provider,{value:n},e.children)}},83640:(e,n,t)=>{t.r(n),t.d(n,{contentTitle:()=>o,default:()=>c,frontMatter:()=>a,metadata:()=>i,toc:()=>l});const i=JSON.parse('{"type":"api","id":"simplified-run-flow","title":"Simplified Run Flow","description":"","slug":"/simplified-run-flow","frontMatter":{},"api":{"tags":["Base"],"description":"Executes a specified flow by ID with support for streaming and telemetry.\\n\\nThis endpoint executes a flow identified by ID or name, with options for streaming the response\\nand tracking execution metrics. 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The ",(0,r.jsx)(t.strong,{children:"Lambda filter"})," component extracts and flattens the results into a tabular DataFrame. The ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component can then work with the retrieved data."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Dataframe operations with flattened dataframe",src:n(13533).A+"",width:"983",height:"696"})}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["The ",(0,r.jsx)(t.strong,{children:"API Request"})," component retrieves data with only ",(0,r.jsx)(t.code,{children:"source"})," and ",(0,r.jsx)(t.code,{children:"result"})," fields.\nFor this example, the desired data is nested within the ",(0,r.jsx)(t.code,{children:"result"})," field."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Lambda Filter"})," to the API request component, and a ",(0,r.jsx)(t.strong,{children:"Language model"})," to the ",(0,r.jsx)(t.strong,{children:"Lambda Filter"}),". This example connects a ",(0,r.jsx)(t.strong,{children:"Groq"})," model component."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Groq"})," model component, add your ",(0,r.jsx)(t.strong,{children:"Groq"})," API key."]}),"\n",(0,r.jsxs)(t.li,{children:["To filter the data, in the ",(0,r.jsx)(t.strong,{children:"Lambda filter"})," component, in the ",(0,r.jsx)(t.strong,{children:"Instructions"})," field, use natural language to describe how the data should be filtered.\nFor this example, enter:"]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"I want to explode the result column out into a Data object",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.admonition,{type:"tip",children:(0,r.jsxs)(t.p,{children:["Avoid punctuation in the ",(0,r.jsx)(t.strong,{children:"Instructions"})," field, as it can cause errors."]})}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["To run the flow, in the ",(0,r.jsx)(t.strong,{children:"Lambda Filter"})," component, click ",(0,r.jsx)(d.A,{name:"Play","aria-label":"Play icon"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To inspect the filtered data, in the ",(0,r.jsx)(t.strong,{children:"Lambda Filter"})," component, click ",(0,r.jsx)(d.A,{name:"TextSearch","aria-label":"Inspect icon"}),".\nThe result is a structured DataFrame."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"id | name | company | username | email | address | zip",props:{}}]},{tokens:[{content:"---|------------------|----------------------|-----------------|------------------------------------|-------------------|-------",props:{}}]},{tokens:[{content:"1 | Emily Johnson | ABC Corporation | emily_johnson | emily.johnson@abccorporation.com | 123 Main St | 12345",props:{}}]},{tokens:[{content:"2 | Michael Williams | XYZ Corp | michael_williams| michael.williams@xyzcorp.com | 456 Elm Ave | 67890",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"7",children:["\n",(0,r.jsxs)(t.li,{children:["Add the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component, and a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component to the flow."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component, in the ",(0,r.jsx)(t.strong,{children:"Operation"})," field, select ",(0,r.jsx)(t.strong,{children:"Filter"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To apply a filter, in the ",(0,r.jsx)(t.strong,{children:"Column Name"})," field, enter a column to filter on. This example filters by ",(0,r.jsx)(t.code,{children:"name"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Click ",(0,r.jsx)(t.strong,{children:"Playground"}),", and then click ",(0,r.jsx)(t.strong,{children:"Run Flow"}),".\nThe flow extracts the values from the ",(0,r.jsx)(t.code,{children:"name"})," column."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"name",props:{}}]},{tokens:[{content:"Emily Johnson",props:{}}]},{tokens:[{content:"Michael Williams",props:{}}]},{tokens:[{content:"John Smith",props:{}}]},{tokens:[{content:"...",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.h3,{id:"operations",children:"Operations"}),"\n",(0,r.jsxs)(t.p,{children:["This component can perform the following operations on Pandas ",(0,r.jsx)(t.a,{href:"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html",children:"DataFrame"}),"."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Operation"}),(0,r.jsx)(t.th,{children:"Required Inputs"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Add Column"}),(0,r.jsx)(t.td,{children:"new_column_name, new_column_value"}),(0,r.jsx)(t.td,{children:"Adds a new column with a constant value."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Drop Column"}),(0,r.jsx)(t.td,{children:"column_name"}),(0,r.jsx)(t.td,{children:"Removes a specified column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Filter"}),(0,r.jsx)(t.td,{children:"column_name, filter_value"}),(0,r.jsx)(t.td,{children:"Filters rows based on column value."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Head"}),(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsxs)(t.td,{children:["Returns first ",(0,r.jsx)(t.code,{children:"n"})," rows."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Rename Column"}),(0,r.jsx)(t.td,{children:"column_name, new_column_name"}),(0,r.jsx)(t.td,{children:"Renames an existing column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Replace Value"}),(0,r.jsx)(t.td,{children:"column_name, replace_value, replacement_value"}),(0,r.jsx)(t.td,{children:"Replaces values in a column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Select Columns"}),(0,r.jsx)(t.td,{children:"columns_to_select"}),(0,r.jsx)(t.td,{children:"Selects specific columns."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Sort"}),(0,r.jsx)(t.td,{children:"column_name, ascending"}),(0,r.jsx)(t.td,{children:"Sorts DataFrame by column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Tail"}),(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsxs)(t.td,{children:["Returns last ",(0,r.jsx)(t.code,{children:"n"})," rows."]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The input DataFrame to operate on."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operation"}),(0,r.jsx)(t.td,{children:"Operation"}),(0,r.jsx)(t.td,{children:"The DataFrame operation to perform. Options include Add Column, Drop Column, Filter, Head, Rename Column, Replace Value, Select Columns, Sort, and Tail."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"column_name"}),(0,r.jsx)(t.td,{children:"Column Name"}),(0,r.jsx)(t.td,{children:"The column name to use for the operation."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_value"}),(0,r.jsx)(t.td,{children:"Filter Value"}),(0,r.jsx)(t.td,{children:"The value to filter rows by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"ascending"}),(0,r.jsx)(t.td,{children:"Sort Ascending"}),(0,r.jsx)(t.td,{children:"Whether to sort in ascending order."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"new_column_name"}),(0,r.jsx)(t.td,{children:"New Column Name"}),(0,r.jsx)(t.td,{children:"The new column name when renaming or adding a column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"new_column_value"}),(0,r.jsx)(t.td,{children:"New Column Value"}),(0,r.jsx)(t.td,{children:"The value to populate the new column with."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"columns_to_select"}),(0,r.jsx)(t.td,{children:"Columns to Select"}),(0,r.jsx)(t.td,{children:"A list of column names to select."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsx)(t.td,{children:"Number of Rows"}),(0,r.jsx)(t.td,{children:"The number of rows to return for head/tail operations. The default is 5."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"replace_value"}),(0,r.jsx)(t.td,{children:"Value to Replace"}),(0,r.jsx)(t.td,{children:"The value to replace in the column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"replacement_value"}),(0,r.jsx)(t.td,{children:"Replacement Value"}),(0,r.jsx)(t.td,{children:"The value to replace with."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The resulting DataFrame after the operation."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"data-operations",children:"Data operations"}),"\n",(0,r.jsxs)(t.p,{children:["This component performs operations on ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects, including selecting keys, evaluating literals, combining data, filtering values, appending/updating data, removing keys, and renaming keys."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," to the ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component's input.\nAll operations in the component require at least one ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Operations"})," field, select the operation you want to perform.\nFor example, send this request to the ",(0,r.jsx)(t.strong,{children:"Webhook"})," component.\nReplace ",(0,r.jsx)(t.code,{children:"YOUR_FLOW_ID"})," with your flow ID."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:'POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-H ",props:{style:{color:"#C9D1D9"}}},{content:"'Content-Type: application/json' ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-d ",props:{style:{color:"#C9D1D9"}}},{content:"'{",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "id": 1,',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "name": "Leanne Graham",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "username": "Bret",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "email": "Sincere@april.biz",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "address": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "street": "Kulas Light",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "suite": "Apt. 556",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "city": "Gwenborough",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "zipcode": "92998-3874",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "geo": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "lat": "-37.3159",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "lng": "81.1496"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" },",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "phone": "1-770-736-8031 x56442",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "website": "hildegard.org",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "company": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "name": "Romaguera-Crona",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "catchPhrase": "Multi-layered client-server neural-net",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "bs": "harness real-time e-markets"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}'",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"3",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component, select the ",(0,r.jsx)(t.strong,{children:"Select Keys"})," operation to extract specific user information.\nTo add additional keys, click ",(0,r.jsx)(d.A,{name:"Plus","aria-label":"Add"})," ",(0,r.jsx)(t.strong,{children:"Add More"}),".\n",(0,r.jsx)(t.img,{alt:"A webhook and data operations component",src:n(46445).A+"",width:"4000",height:"1920"})]}),"\n",(0,r.jsxs)(t.li,{children:["Filter by ",(0,r.jsx)(t.code,{children:"name"}),", ",(0,r.jsx)(t.code,{children:"username"}),", and ",(0,r.jsx)(t.code,{children:"email"})," to select the values from the request."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Leanne Graham"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "username"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Bret"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "email"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Sincere@april.biz"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,r.jsx)(t.h3,{id:"operations-1",children:"Operations"}),"\n",(0,r.jsxs)(t.p,{children:["The component supports the following operations.\nAll operations in the ",(0,r.jsx)(t.strong,{children:"Data operations"})," component require at least one ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," input."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Operation"}),(0,r.jsx)(t.th,{children:"Required Inputs"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Select Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"select_keys_input"})}),(0,r.jsx)(t.td,{children:"Selects specific keys from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Literal Eval"}),(0,r.jsx)(t.td,{children:"None"}),(0,r.jsx)(t.td,{children:"Evaluates string values as Python literals."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Combine"}),(0,r.jsx)(t.td,{children:"None"}),(0,r.jsx)(t.td,{children:"Combines multiple data objects into one."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Filter Values"}),(0,r.jsxs)(t.td,{children:[(0,r.jsx)(t.code,{children:"filter_key"}),", ",(0,r.jsx)(t.code,{children:"filter_values"}),", ",(0,r.jsx)(t.code,{children:"operator"})]}),(0,r.jsx)(t.td,{children:"Filters data based on key-value pair."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Append or Update"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"append_update_data"})}),(0,r.jsx)(t.td,{children:"Adds or updates key-value pairs."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Remove 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Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The converted Data object."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"parser",children:"Parser"}),"\n",(0,r.jsxs)(t.p,{children:["This component formats ",(0,r.jsx)(t.code,{children:"DataFrame"})," or ",(0,r.jsx)(t.code,{children:"Data"})," objects into text using templates, with an option to convert inputs directly to strings using ",(0,r.jsx)(t.code,{children:"stringify"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["To use this component, create variables for values in the ",(0,r.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component. For ",(0,r.jsx)(t.code,{children:"DataFrames"}),", use column names, for example ",(0,r.jsx)(t.code,{children:"Name: {Name}"}),". For ",(0,r.jsx)(t.code,{children:"Data"})," objects, use ",(0,r.jsx)(t.code,{children:"{text}"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"Parser"})," component with a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, do the following:"]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output to the ",(0,r.jsx)(t.strong,{children:"Parser"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"File"})," component to the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"Message"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"OpenAI"})," model component's ",(0,r.jsx)(t.strong,{children:"Language Model"})," output to the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"Language Model"})," input."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"The flow looks like this:"}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A parser component connected to OpenAI and structured output",src:n(96218).A+"",width:"2300",height:"1436"})}),"\n",(0,r.jsxs)(t.ol,{start:"4",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, click ",(0,r.jsx)(t.strong,{children:"Open Table"}),".\nThis opens a pane for structuring your table.\nThe table contains the rows ",(0,r.jsx)(t.strong,{children:"Name"}),", ",(0,r.jsx)(t.strong,{children:"Description"}),", ",(0,r.jsx)(t.strong,{children:"Type"}),", and ",(0,r.jsx)(t.strong,{children:"Multiple"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Create a table that maps to the data you're loading from the ",(0,r.jsx)(t.strong,{children:"File"})," loader.\nFor example, to create a table for employees, you might have the rows ",(0,r.jsx)(t.code,{children:"id"}),", ",(0,r.jsx)(t.code,{children:"name"}),", and ",(0,r.jsx)(t.code,{children:"email"}),", all of type ",(0,r.jsx)(t.code,{children:"string"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Template"})," field of the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, enter a template for parsing the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's DataFrame output into structured text.\nCreate variables for values in the ",(0,r.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component.\nFor example, to present a table of employees in Markdown:"]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"# Employee Profile",props:{}}]},{tokens:[{content:"## Personal Information",props:{}}]},{tokens:[{content:"- **Name:** {name}",props:{}}]},{tokens:[{content:"- **ID:** {id}",props:{}}]},{tokens:[{content:"- **Email:** {email}",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"7",children:["\n",(0,r.jsxs)(t.li,{children:["To run the flow, in the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, click ",(0,r.jsx)(d.A,{name:"Play","aria-label":"Play icon"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To view your parsed text, in the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, click ",(0,r.jsx)(d.A,{name:"TextSearch","aria-label":"Inspect icon"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Optionally, connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component, and open the ",(0,r.jsx)(t.strong,{children:"Playground"})," to see the output."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["For an additional example of using the ",(0,r.jsx)(t.strong,{children:"Parser"})," component to format a DataFrame from a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, see the ",(0,r.jsx)(t.strong,{children:"Market Research"})," template flow."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"mode"}),(0,r.jsx)(t.td,{children:"Mode"}),(0,r.jsx)(t.td,{children:'The tab selection between "Parser" and "Stringify" modes. "Stringify" converts input to a string instead of using a template.'})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"pattern"}),(0,r.jsx)(t.td,{children:"Template"}),(0,r.jsxs)(t.td,{children:["The template for formatting using variables in curly brackets. For DataFrames, use column names, such as ",(0,r.jsx)(t.code,{children:"Name: {Name}"}),". For Data objects, use ",(0,r.jsx)(t.code,{children:"{text}"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_data"}),(0,r.jsx)(t.td,{children:"Data or DataFrame"}),(0,r.jsx)(t.td,{children:"The input to parse. Accepts either a DataFrame or Data object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"sep"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsx)(t.td,{children:"The string used to separate rows or items. The default is a newline."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"clean_data"}),(0,r.jsx)(t.td,{children:"Clean Data"}),(0,r.jsx)(t.td,{children:"When stringify is enabled, this option cleans data by removing empty rows and lines."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"parsed_text"}),(0,r.jsx)(t.td,{children:"Parsed Text"}),(0,r.jsxs)(t.td,{children:["The resulting formatted text as a ",(0,r.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," object."]})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"regex-extractor",children:"Regex extractor"}),"\n",(0,r.jsx)(t.p,{children:"This component extracts patterns from text using regular expressions. It can be used to find and extract specific patterns or information from text data."}),"\n",(0,r.jsx)(t.p,{children:"To use this component in a flow:"}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"Regex Extractor"})," to a ",(0,r.jsx)(t.strong,{children:"URL"})," component and a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Regex extractor connected to url component",src:n(8886).A+"",width:"1606",height:"848"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Regex Extractor"})," tool, enter a pattern to extract text from the ",(0,r.jsx)(t.strong,{children:"URL"}),' component\'s raw output.\nThis example extracts the first paragraph from the "In the News" section of ',(0,r.jsx)(t.code,{children:"https://en.wikipedia.org/wiki/Main_Page"}),":"]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"In the news\\s*\\n(.*?)(?=\\n\\n)",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.p,{children:"Result:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Peruvian writer and Nobel Prize in Literature laureate Mario Vargas Llosa (pictured) dies at the age of 89.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.h2,{id:"save-to-file",children:"Save to File"}),"\n",(0,r.jsxs)(t.p,{children:["This component saves ",(0,r.jsx)(t.a,{href:"/concepts-objects",children:"DataFrames, Data, or Messages"})," to various file formats."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/concepts-objects",children:"DataFrames, Data, or Messages"})," to the ",(0,r.jsx)(t.strong,{children:"Save to File"})," component's input.\nThe following example connects a ",(0,r.jsx)(t.strong,{children:"Webhook"})," component to two ",(0,r.jsx)(t.strong,{children:"Save to File"})," components to demonstrate the different outputs."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Two Save-to File components connected to a webhook",src:n(35073).A+"",width:"1458",height:"1732"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Save to File"})," component's ",(0,r.jsx)(t.strong,{children:"Input Type"})," field, select the expected input type.\nThis example expects ",(0,r.jsx)(t.strong,{children:"Data"})," from the ",(0,r.jsx)(t.strong,{children:"Webhook"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"File Format"})," field, select the file type for your saved file.\nThis example uses ",(0,r.jsx)(t.code,{children:".md"})," in one ",(0,r.jsx)(t.strong,{children:"Save to File"})," component, and ",(0,r.jsx)(t.code,{children:".xlsx"})," in another."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"File Path"})," field, enter the path for your saved file.\nThis example uses ",(0,r.jsx)(t.code,{children:"./output/employees.xlsx"})," and ",(0,r.jsx)(t.code,{children:"./output/employees.md"})," to save the files in a directory relative to where Langflow is running.\nThe component accepts both relative and absolute paths, and creates any necessary directories if they don't exist."]}),"\n"]}),"\n",(0,r.jsx)(t.admonition,{type:"tip",children:(0,r.jsxs)(t.p,{children:["If you enter a format in the ",(0,r.jsx)(t.code,{children:"file_path"})," that is not accepted, the component appends the proper format to the file.\nFor example, if the selected ",(0,r.jsx)(t.code,{children:"file_format"})," is ",(0,r.jsx)(t.code,{children:"csv"}),", and you enter ",(0,r.jsx)(t.code,{children:"file_path"})," as ",(0,r.jsx)(t.code,{children:"./output/test.txt"}),", the file is saved as ",(0,r.jsx)(t.code,{children:"./output/test.txt.csv"})," so the file is not corrupted."]})}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Send a POST request to the ",(0,r.jsx)(t.strong,{children:"Webhook"})," containing your JSON data.\nReplace ",(0,r.jsx)(t.code,{children:"YOUR_FLOW_ID"})," with your flow ID.\nThis example uses the default Langflow server address."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \\',props:{}}]},{tokens:[{content:"-H 'Content-Type: application/json' \\",props:{}}]},{tokens:[{content:"-d '{",props:{}}]},{tokens:[{content:' "Name": ["Alex Cruz", "Kalani Smith", "Noam Johnson"],',props:{}}]},{tokens:[{content:' "Role": ["Developer", "Designer", "Manager"],',props:{}}]},{tokens:[{content:' "Department": ["Engineering", "Design", "Management"]',props:{}}]},{tokens:[{content:"}'",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"6",children:["\n",(0,r.jsxs)(t.li,{children:["In your local filesystem, open the ",(0,r.jsx)(t.code,{children:"outputs"})," directory.\nYou should see two files created from the data you've sent: one in ",(0,r.jsx)(t.code,{children:".xlsx"})," for structured spreadsheets, and one in Markdown."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"| Name | Role | Department |",props:{}}]},{tokens:[{content:"|:-------------|:----------|:-------------|",props:{}}]},{tokens:[{content:"| Alex Cruz | Developer | Engineering |",props:{}}]},{tokens:[{content:"| Kalani Smith | Designer | Design |",props:{}}]},{tokens:[{content:"| Noam Johnson | Manager | Management |",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.h3,{id:"file-input-format-options",children:"File input format options"}),"\n",(0,r.jsxs)(t.p,{children:["For ",(0,r.jsx)(t.code,{children:"DataFrame"})," and ",(0,r.jsx)(t.code,{children:"Data"})," inputs, the component can create:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"csv"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"excel"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"json"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"markdown"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"pdf"})}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["For ",(0,r.jsx)(t.code,{children:"Message"})," inputs, the component can create:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"txt"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"json"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"markdown"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"pdf"})}),"\n"]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_text"}),(0,r.jsx)(t.td,{children:"Input Text"}),(0,r.jsx)(t.td,{children:"The text to analyze and extract patterns from."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"pattern"}),(0,r.jsx)(t.td,{children:"Regex Pattern"}),(0,r.jsx)(t.td,{children:"The regular expression pattern to match in the text."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_type"}),(0,r.jsx)(t.td,{children:"Input Type"}),(0,r.jsx)(t.td,{children:"The type of input to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The DataFrame to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The Data object to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"message"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"The Message to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"file_format"}),(0,r.jsx)(t.td,{children:"File Format"}),(0,r.jsx)(t.td,{children:"The file format to save the input in."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"file_path"}),(0,r.jsx)(t.td,{children:"File Path"}),(0,r.jsx)(t.td,{children:"The full file path including filename and extension."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"A list of extracted matches as Data objects."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"The extracted matches formatted as a Message object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"confirmation"}),(0,r.jsx)(t.td,{children:"Confirmation"}),(0,r.jsx)(t.td,{children:"The confirmation message after saving the file."})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"split-text",children:"Split text"}),"\n",(0,r.jsx)(t.p,{children:"This component splits text into chunks based on specified criteria. It's ideal for chunking data to be tokenized and embedded into vector databases."}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Split Text"})," component outputs ",(0,r.jsx)(t.strong,{children:"Chunks"})," or ",(0,r.jsx)(t.strong,{children:"DataFrame"}),".\nThe ",(0,r.jsx)(t.strong,{children:"Chunks"})," output returns a list of individual text chunks.\nThe ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output returns a structured data format, with additional ",(0,r.jsx)(t.code,{children:"text"})," and ",(0,r.jsx)(t.code,{children:"metadata"})," columns applied."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/concepts-objects",children:"Data or DataFrame"})," to the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component's ",(0,r.jsx)(t.strong,{children:"Data"})," port.\nThis example uses the ",(0,r.jsx)(t.strong,{children:"URL"})," component, which is fetching JSON placeholder data."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Split text component and chroma-db",src:n(49823).A+"",width:"2198",height:"1626"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component, define your data splitting parameters."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["This example splits incoming JSON data at the separator ",(0,r.jsx)(t.code,{children:"},"}),", so each chunk contains one JSON object."]}),"\n",(0,r.jsxs)(t.p,{children:["The order of precedence is ",(0,r.jsx)(t.strong,{children:"Separator"}),", then ",(0,r.jsx)(t.strong,{children:"Chunk Size"}),", and then ",(0,r.jsx)(t.strong,{children:"Chunk Overlap"}),".\nIf any segment after separator splitting is longer than ",(0,r.jsx)(t.code,{children:"chunk_size"}),", it is split again to fit within ",(0,r.jsx)(t.code,{children:"chunk_size"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["After ",(0,r.jsx)(t.code,{children:"chunk_size"}),", ",(0,r.jsx)(t.strong,{children:"Chunk Overlap"})," is applied between chunks to maintain context."]}),"\n",(0,r.jsxs)(t.ol,{start:"3",children:["\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component to the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output to view its output."]}),"\n",(0,r.jsxs)(t.li,{children:["Click ",(0,r.jsx)(t.strong,{children:"Playground"}),", and then click ",(0,r.jsx)(t.strong,{children:"Run Flow"}),".\nThe output contains a table of JSON objects split at ",(0,r.jsx)(t.code,{children:"},"}),"."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{}}]},{tokens:[{content:'"userId": 1,',props:{}}]},{tokens:[{content:'"id": 1,',props:{}}]},{tokens:[{content:'"title": "Introduction to Artificial Intelligence",',props:{}}]},{tokens:[{content:'"body": "Learn the basics of Artificial Intelligence and its applications in various industries.",',props:{}}]},{tokens:[{content:'"link": "https://example.com/article1",',props:{}}]},{tokens:[{content:'"comment_count": 8',props:{}}]},{tokens:[{content:"},",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'"userId": 2,',props:{}}]},{tokens:[{content:'"id": 2,',props:{}}]},{tokens:[{content:'"title": "Web Development with React",',props:{}}]},{tokens:[{content:'"body": "Build modern web applications using React.js and explore its powerful features.",',props:{}}]},{tokens:[{content:'"link": "https://example.com/article2",',props:{}}]},{tokens:[{content:'"comment_count": 12',props:{}}]},{tokens:[{content:"},",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Clear the ",(0,r.jsx)(t.strong,{children:"Separator"})," field, and then run the flow again.\nInstead 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Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data_inputs"}),(0,r.jsx)(t.td,{children:"Input Documents"}),(0,r.jsxs)(t.td,{children:["The data to split. The component accepts ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," or ",(0,r.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"})," objects."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_overlap"}),(0,r.jsx)(t.td,{children:"Chunk Overlap"}),(0,r.jsxs)(t.td,{children:["The number of characters to overlap between chunks. Default: ",(0,r.jsx)(t.code,{children:"200"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_size"}),(0,r.jsx)(t.td,{children:"Chunk Size"}),(0,r.jsxs)(t.td,{children:["The maximum number of characters in each chunk. Default: ",(0,r.jsx)(t.code,{children:"1000"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"separator"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsxs)(t.td,{children:["The character to split on. Default: ",(0,r.jsx)(t.code,{children:"newline"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsxs)(t.td,{children:["The key to use for the text column. Default: ",(0,r.jsx)(t.code,{children:"text"}),"."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunks"}),(0,r.jsx)(t.td,{children:"Chunks"}),(0,r.jsxs)(t.td,{children:["A list of split text chunks as ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"dataframe"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsxs)(t.td,{children:["A list of split text chunks as ",(0,r.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"})," objects."]})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"update-data",children:"Update data"}),"\n",(0,r.jsx)(t.p,{children:"This component dynamically updates or appends data with specified fields."}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"old_data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The records to update."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"number_of_fields"}),(0,r.jsx)(t.td,{children:"Number of Fields"}),(0,r.jsx)(t.td,{children:"The number of fields to add. The maximum is 15."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsx)(t.td,{children:"The key for text content."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key_validator"}),(0,r.jsx)(t.td,{children:"Text Key Validator"}),(0,r.jsx)(t.td,{children:"Validates the text key presence."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The updated Data objects."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"legacy-components",children:"Legacy components"}),"\n",(0,r.jsxs)(t.p,{children:[(0,r.jsx)(t.strong,{children:"Legacy"})," components are available for use but are no longer supported."]}),"\n",(0,r.jsx)(t.h3,{id:"alter-metadata",children:"Alter metadata"}),"\n",(0,r.jsxs)(t.p,{children:["This component modifies metadata of input objects. It can add new metadata, update existing metadata, and remove specified metadata fields. The component works with both ",(0,r.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," and ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects, and can also create a new Data object from user-provided text."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_value"}),(0,r.jsx)(t.td,{children:"Input"}),(0,r.jsx)(t.td,{children:"Objects to which Metadata should be added"})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_in"}),(0,r.jsx)(t.td,{children:"User Text"}),(0,r.jsxs)(t.td,{children:["Text input; the value is contained in the 'text' attribute of the ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," object. 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Let's combine text!",props:{}}]},{tokens:[{content:"end first text",props:{}}]},{tokens:[{content:"start second text",props:{}}]},{tokens:[{content:"Here's the second part. We'll see how combining text works.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"first_text"}),(0,r.jsx)(t.td,{children:"First Text"}),(0,r.jsx)(t.td,{children:"The first text input to concatenate."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"second_text"}),(0,r.jsx)(t.td,{children:"Second Text"}),(0,r.jsx)(t.td,{children:"The second text input to concatenate."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"delimiter"}),(0,r.jsx)(t.td,{children:"Delimiter"}),(0,r.jsx)(t.td,{children:"A string used to separate the two text inputs. The default is a space."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"message"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"A Message object containing the combined text."})]})})]})]}),"\n",(0,r.jsx)(t.h3,{id:"create-data",children:"Create data"}),"\n",(0,r.jsx)(t.admonition,{type:"important",children:(0,r.jsxs)(t.p,{children:["This component is in ",(0,r.jsx)(t.strong,{children:"Legacy"}),", which means it is no longer in active development as of Langflow version 1.1.3."]})}),"\n",(0,r.jsxs)(t.p,{children:["This component dynamically creates a ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," object with a specified number of fields."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"number_of_fields"}),(0,r.jsx)(t.td,{children:"Number of Fields"}),(0,r.jsx)(t.td,{children:"The number of fields to be added to the record."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsx)(t.td,{children:"Key that identifies the field to be used as the text content."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key_validator"}),(0,r.jsx)(t.td,{children:"Text Key Validator"}),(0,r.jsxs)(t.td,{children:["If enabled, checks if the given ",(0,r.jsx)(t.code,{children:"Text Key"})," is present in the given ",(0,r.jsx)(t.code,{children:"Data"}),"."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsxs)(t.td,{children:["A ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," object created with the specified fields and text key."]})]})})]})]}),"\n",(0,r.jsx)(t.h3,{id:"json-cleaner",children:"JSON cleaner"}),"\n",(0,r.jsx)(t.p,{children:"The JSON cleaner component cleans JSON strings to ensure they are fully compliant with the JSON specification."}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"json_str"}),(0,r.jsx)(t.td,{children:"JSON String"}),(0,r.jsx)(t.td,{children:"The JSON string to be cleaned. This can be a raw, potentially malformed JSON string produced by language models or other sources that may not fully comply with JSON specifications."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"remove_control_chars"}),(0,r.jsx)(t.td,{children:"Remove Control Characters"}),(0,r.jsx)(t.td,{children:"If set to True, this option removes control characters (ASCII characters 0-31 and 127) from the JSON string. This can help eliminate invisible characters that might cause parsing issues or make the JSON invalid."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"normalize_unicode"}),(0,r.jsx)(t.td,{children:"Normalize Unicode"}),(0,r.jsx)(t.td,{children:"When enabled, this option normalizes Unicode characters in the JSON string to their canonical composition form (NFC). This ensures consistent representation of Unicode characters across different systems and prevents potential issues with character encoding."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"validate_json"}),(0,r.jsx)(t.td,{children:"Validate JSON"}),(0,r.jsx)(t.td,{children:"If set to True, this option attempts to parse the JSON string to ensure it is well-formed before applying the final repair operation. It raises a ValueError if the JSON is invalid, allowing for early detection of major structural issues in the JSON."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"Cleaned JSON String"}),(0,r.jsx)(t.td,{children:"The resulting cleaned, repaired, and validated JSON string that fully complies with the JSON specification."})]})})]})]}),"\n",(0,r.jsx)(t.h3,{id:"parse-dataframe",children:"Parse DataFrame"}),"\n",(0,r.jsx)(t.admonition,{type:"important",children:(0,r.jsxs)(t.p,{children:["This component is in ",(0,r.jsx)(t.strong,{children:"Legacy"}),", which means it is no longer in active development as of Langflow version 1.3.\nInstead, use the 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Options include Add Column, Drop Column, Filter, Head, Rename Column, Replace Value, Select Columns, Sort, and Tail."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"column_name"}),(0,r.jsx)(t.td,{children:"Column Name"}),(0,r.jsx)(t.td,{children:"The column name to use for the operation."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_value"}),(0,r.jsx)(t.td,{children:"Filter Value"}),(0,r.jsx)(t.td,{children:"The value to filter rows by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"ascending"}),(0,r.jsx)(t.td,{children:"Sort Ascending"}),(0,r.jsx)(t.td,{children:"Whether to sort in ascending order."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"new_column_name"}),(0,r.jsx)(t.td,{children:"New Column Name"}),(0,r.jsx)(t.td,{children:"The new column name when renaming or adding a column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"new_column_value"}),(0,r.jsx)(t.td,{children:"New Column Value"}),(0,r.jsx)(t.td,{children:"The value to populate the new column with."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"columns_to_select"}),(0,r.jsx)(t.td,{children:"Columns to Select"}),(0,r.jsx)(t.td,{children:"A list of column names to select."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsx)(t.td,{children:"Number of Rows"}),(0,r.jsx)(t.td,{children:"The number of rows to return for head/tail operations. The default is 5."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"replace_value"}),(0,r.jsx)(t.td,{children:"Value to Replace"}),(0,r.jsx)(t.td,{children:"The value to replace in the column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"replacement_value"}),(0,r.jsx)(t.td,{children:"Replacement Value"}),(0,r.jsx)(t.td,{children:"The value to replace with."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The resulting DataFrame after the operation."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"data-operations",children:"Data operations"}),"\n",(0,r.jsxs)(t.p,{children:["This component performs operations on ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects, including selecting keys, evaluating literals, combining data, filtering values, appending/updating data, removing keys, and renaming keys."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," to the ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component's input.\nAll operations in the component require at least one ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Operations"})," field, select the operation you want to perform.\nFor example, send this request to the ",(0,r.jsx)(t.strong,{children:"Webhook"})," component.\nReplace ",(0,r.jsx)(t.code,{children:"YOUR_FLOW_ID"})," with your flow ID."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:'POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-H ",props:{style:{color:"#C9D1D9"}}},{content:"'Content-Type: application/json' ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-d ",props:{style:{color:"#C9D1D9"}}},{content:"'{",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "id": 1,',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "name": "Leanne Graham",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "username": "Bret",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "email": "Sincere@april.biz",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "address": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "street": "Kulas Light",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "suite": "Apt. 556",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "city": "Gwenborough",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "zipcode": "92998-3874",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "geo": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "lat": "-37.3159",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "lng": "81.1496"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" },",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "phone": "1-770-736-8031 x56442",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "website": "hildegard.org",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "company": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "name": "Romaguera-Crona",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "catchPhrase": "Multi-layered client-server neural-net",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:' "bs": "harness real-time e-markets"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}'",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"3",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component, select the ",(0,r.jsx)(t.strong,{children:"Select Keys"})," operation to extract specific user information.\nTo add additional keys, click ",(0,r.jsx)(d.A,{name:"Plus","aria-label":"Add"})," ",(0,r.jsx)(t.strong,{children:"Add More"}),".\n",(0,r.jsx)(t.img,{alt:"A webhook and data operations component",src:n(46445).A+"",width:"4000",height:"1920"})]}),"\n",(0,r.jsxs)(t.li,{children:["Filter by ",(0,r.jsx)(t.code,{children:"name"}),", ",(0,r.jsx)(t.code,{children:"username"}),", and ",(0,r.jsx)(t.code,{children:"email"})," to select the values from the request."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Leanne Graham"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "username"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Bret"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "email"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Sincere@april.biz"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,r.jsx)(t.h3,{id:"operations-1",children:"Operations"}),"\n",(0,r.jsxs)(t.p,{children:["The component supports the following operations.\nAll operations in the ",(0,r.jsx)(t.strong,{children:"Data operations"})," component require at least one ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," input."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Operation"}),(0,r.jsx)(t.th,{children:"Required Inputs"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Select Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"select_keys_input"})}),(0,r.jsx)(t.td,{children:"Selects specific keys from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Literal Eval"}),(0,r.jsx)(t.td,{children:"None"}),(0,r.jsx)(t.td,{children:"Evaluates string values as Python literals."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Combine"}),(0,r.jsx)(t.td,{children:"None"}),(0,r.jsx)(t.td,{children:"Combines multiple data objects into one."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Filter Values"}),(0,r.jsxs)(t.td,{children:[(0,r.jsx)(t.code,{children:"filter_key"}),", ",(0,r.jsx)(t.code,{children:"filter_values"}),", ",(0,r.jsx)(t.code,{children:"operator"})]}),(0,r.jsx)(t.td,{children:"Filters data based on key-value pair."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Append or Update"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"append_update_data"})}),(0,r.jsx)(t.td,{children:"Adds or updates key-value pairs."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Remove Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"remove_keys_input"})}),(0,r.jsx)(t.td,{children:"Removes specified keys from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Rename Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"rename_keys_input"})}),(0,r.jsx)(t.td,{children:"Renames keys in the data."})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsxs)(t.td,{children:["The ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," object to operate on."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operations"}),(0,r.jsx)(t.td,{children:"Operations"}),(0,r.jsx)(t.td,{children:"The operation to perform on the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"select_keys_input"}),(0,r.jsx)(t.td,{children:"Select Keys"}),(0,r.jsx)(t.td,{children:"A list of keys to select from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_key"}),(0,r.jsx)(t.td,{children:"Filter Key"}),(0,r.jsx)(t.td,{children:"The key to filter by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operator"}),(0,r.jsx)(t.td,{children:"Comparison Operator"}),(0,r.jsx)(t.td,{children:"The operator to apply for comparing values."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_values"}),(0,r.jsx)(t.td,{children:"Filter Values"}),(0,r.jsx)(t.td,{children:"A list of values to filter by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"append_update_data"}),(0,r.jsx)(t.td,{children:"Append or Update"}),(0,r.jsx)(t.td,{children:"The data to append or update the existing data with."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"remove_keys_input"}),(0,r.jsx)(t.td,{children:"Remove Keys"}),(0,r.jsx)(t.td,{children:"A list of keys to remove from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"rename_keys_input"}),(0,r.jsx)(t.td,{children:"Rename Keys"}),(0,r.jsx)(t.td,{children:"A list of keys to rename in the data."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data_output"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The resulting Data object after the operation."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"data-to-dataframe",children:"Data to DataFrame"}),"\n",(0,r.jsxs)(t.p,{children:["This component converts one or multiple ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects into a ",(0,r.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"}),". Each Data object corresponds to one row in the resulting DataFrame. Fields from the ",(0,r.jsx)(t.code,{children:".data"})," attribute become columns, and the ",(0,r.jsx)(t.code,{children:".text"})," field (if present) is placed in a 'text' column."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," to the ",(0,r.jsx)(t.strong,{children:"Data to Dataframe"})," component's input.\nThis example connects a ",(0,r.jsx)(t.strong,{children:"Webhook"})," component to convert ",(0,r.jsx)(t.code,{children:"text"})," and ",(0,r.jsx)(t.code,{children:"data"})," into a DataFrame."]}),"\n",(0,r.jsxs)(t.li,{children:["To view the flow's output, connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component to the ",(0,r.jsx)(t.strong,{children:"Data to Dataframe"})," component."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A webhook and data to dataframe",src:n(45709).A+"",width:"1221",height:"468"})}),"\n",(0,r.jsxs)(t.ol,{start:"3",children:["\n",(0,r.jsxs)(t.li,{children:["Send a POST request to the ",(0,r.jsx)(t.strong,{children:"Webhook"})," containing your JSON data.\nReplace ",(0,r.jsx)(t.code,{children:"YOUR_FLOW_ID"})," with your flow ID.\nThis example uses the default Langflow server address."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \\',props:{}}]},{tokens:[{content:"-H 'Content-Type: application/json' \\",props:{}}]},{tokens:[{content:"-d '{",props:{}}]},{tokens:[{content:' "text": "Alex Cruz - Employee Profile",',props:{}}]},{tokens:[{content:' "data": {',props:{}}]},{tokens:[{content:' "Name": "Alex Cruz",',props:{}}]},{tokens:[{content:' "Role": "Developer",',props:{}}]},{tokens:[{content:' "Department": "Engineering"',props:{}}]},{tokens:[{content:" }",props:{}}]},{tokens:[{content:"}'",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"4",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Playground"}),", view the output of your flow.\nThe ",(0,r.jsx)(t.strong,{children:"Data to DataFrame"})," component converts the webhook request into a ",(0,r.jsx)(t.code,{children:"DataFrame"}),", with ",(0,r.jsx)(t.code,{children:"text"})," and ",(0,r.jsx)(t.code,{children:"data"})," fields as columns."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"| text | data |",props:{}}]},{tokens:[{content:"|:-----------------------------|:------------------------------------------------------------------------|",props:{}}]},{tokens:[{content:"| Alex Cruz - Employee Profile | {'Name': 'Alex Cruz', 'Role': 'Developer', 'Department': 'Engineering'} |",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsx)(t.li,{children:"Send another employee data object."}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \\',props:{}}]},{tokens:[{content:"-H 'Content-Type: application/json' \\",props:{}}]},{tokens:[{content:"-d '{",props:{}}]},{tokens:[{content:' "text": "Kalani Smith - Employee Profile",',props:{}}]},{tokens:[{content:' "data": {',props:{}}]},{tokens:[{content:' "Name": "Kalani Smith",',props:{}}]},{tokens:[{content:' "Role": "Designer",',props:{}}]},{tokens:[{content:' "Department": "Design"',props:{}}]},{tokens:[{content:" }",props:{}}]},{tokens:[{content:"}'",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"6",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Playground"}),", this request is also converted to ",(0,r.jsx)(t.code,{children:"DataFrame"}),"."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"| text | data |",props:{}}]},{tokens:[{content:"|:--------------------------------|:---------------------------------------------------------------------|",props:{}}]},{tokens:[{content:"| Kalani Smith - Employee Profile | {'Name': 'Kalani Smith', 'Role': 'Designer', 'Department': 'Design'} |",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data_list"}),(0,r.jsx)(t.td,{children:"Data or Data List"}),(0,r.jsx)(t.td,{children:"One or multiple Data objects to transform into a DataFrame."})]})})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"dataframe"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"A DataFrame built from each Data object's fields plus a text column."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"lambda-filter",children:"Lambda filter"}),"\n",(0,r.jsx)(t.p,{children:"This component uses an LLM to generate a Lambda function for filtering or transforming structured data."}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"Lambda filter"})," component, you must connect it to a ",(0,r.jsx)(t.a,{href:"/components-models#language-model",children:"Language Model"})," component, which the component uses to generate a function based on the natural language instructions in the ",(0,r.jsx)(t.strong,{children:"Instructions"})," field."]}),"\n",(0,r.jsxs)(t.p,{children:["This example gets JSON data from the ",(0,r.jsx)(t.code,{children:"https://jsonplaceholder.typicode.com/users"})," API endpoint.\nThe ",(0,r.jsx)(t.strong,{children:"Instructions"})," field in the ",(0,r.jsx)(t.strong,{children:"Lambda filter"})," component specifies the task ",(0,r.jsx)(t.code,{children:"extract emails"}),".\nThe connected LLM creates a filter based on the instructions, and successfully extracts a list of email addresses from the JSON data."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{src:n(66539).A+"",width:"1742",height:"1622"})}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The structured data to filter or transform using a Lambda function."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"llm"}),(0,r.jsx)(t.td,{children:"Language Model"}),(0,r.jsxs)(t.td,{children:["The connection port for a ",(0,r.jsx)(t.a,{href:"/components-models",children:"Model"})," component."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_instruction"}),(0,r.jsx)(t.td,{children:"Instructions"}),(0,r.jsxs)(t.td,{children:["The natural language instructions for how to filter or transform the data using a Lambda function, such as ",(0,r.jsx)(t.code,{children:"Filter the data to only include items where the 'status' is 'active'"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"sample_size"}),(0,r.jsx)(t.td,{children:"Sample Size"}),(0,r.jsx)(t.td,{children:"For large datasets, the number of characters to sample from the dataset head and tail."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"max_size"}),(0,r.jsx)(t.td,{children:"Max Size"}),(0,r.jsxs)(t.td,{children:['The number of characters for the data to be considered "large", which triggers sampling by the ',(0,r.jsx)(t.code,{children:"sample_size"})," value."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filtered_data"}),(0,r.jsx)(t.td,{children:"Filtered Data"}),(0,r.jsxs)(t.td,{children:["The filtered or transformed ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data object"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"dataframe"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsxs)(t.td,{children:["The filtered data as a ",(0,r.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"}),"."]})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"llm-router",children:"LLM router"}),"\n",(0,r.jsx)(t.p,{children:"This component routes requests to the most appropriate LLM based on OpenRouter model specifications."}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"models"}),(0,r.jsx)(t.td,{children:"Language Models"}),(0,r.jsx)(t.td,{children:"A list of LLMs to route between."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_value"}),(0,r.jsx)(t.td,{children:"Input"}),(0,r.jsx)(t.td,{children:"The input message to be routed."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"judge_llm"}),(0,r.jsx)(t.td,{children:"Judge LLM"}),(0,r.jsx)(t.td,{children:"The LLM that evaluates and selects the most appropriate model."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"optimization"}),(0,r.jsx)(t.td,{children:"Optimization"}),(0,r.jsx)(t.td,{children:"The optimization preference between quality, speed, cost, or balanced."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"Output"}),(0,r.jsx)(t.td,{children:"The response from the selected model."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"selected_model"}),(0,r.jsx)(t.td,{children:"Selected Model"}),(0,r.jsx)(t.td,{children:"The name of the chosen model."})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"message-to-data",children:"Message to data"}),"\n",(0,r.jsxs)(t.p,{children:["This component converts ",(0,r.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," objects to ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"message"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"The Message object to convert to a Data object."})]})})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The converted Data object."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"parser",children:"Parser"}),"\n",(0,r.jsxs)(t.p,{children:["This component formats ",(0,r.jsx)(t.code,{children:"DataFrame"})," or ",(0,r.jsx)(t.code,{children:"Data"})," objects into text using templates, with an option to convert inputs directly to strings using ",(0,r.jsx)(t.code,{children:"stringify"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["To use this component, create variables for values in the ",(0,r.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component. For ",(0,r.jsx)(t.code,{children:"DataFrames"}),", use column names, for example ",(0,r.jsx)(t.code,{children:"Name: {Name}"}),". For ",(0,r.jsx)(t.code,{children:"Data"})," objects, use ",(0,r.jsx)(t.code,{children:"{text}"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"Parser"})," component with a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, do the following:"]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output to the ",(0,r.jsx)(t.strong,{children:"Parser"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"File"})," component to the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"Message"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"OpenAI"})," model component's ",(0,r.jsx)(t.strong,{children:"Language Model"})," output to the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"Language Model"})," input."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"The flow looks like this:"}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A parser component connected to OpenAI and structured output",src:n(96218).A+"",width:"2300",height:"1436"})}),"\n",(0,r.jsxs)(t.ol,{start:"4",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, click ",(0,r.jsx)(t.strong,{children:"Open Table"}),".\nThis opens a pane for structuring your table.\nThe table contains the rows ",(0,r.jsx)(t.strong,{children:"Name"}),", ",(0,r.jsx)(t.strong,{children:"Description"}),", ",(0,r.jsx)(t.strong,{children:"Type"}),", and ",(0,r.jsx)(t.strong,{children:"Multiple"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Create a table that maps to the data you're loading from the ",(0,r.jsx)(t.strong,{children:"File"})," loader.\nFor example, to create a table for employees, you might have the rows ",(0,r.jsx)(t.code,{children:"id"}),", ",(0,r.jsx)(t.code,{children:"name"}),", and ",(0,r.jsx)(t.code,{children:"email"}),", all of type ",(0,r.jsx)(t.code,{children:"string"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Template"})," field of the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, enter a template for parsing the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's DataFrame output into structured text.\nCreate variables for values in the ",(0,r.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component.\nFor example, to present a table of employees in Markdown:"]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"# Employee Profile",props:{}}]},{tokens:[{content:"## Personal Information",props:{}}]},{tokens:[{content:"- **Name:** {name}",props:{}}]},{tokens:[{content:"- **ID:** {id}",props:{}}]},{tokens:[{content:"- **Email:** {email}",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"7",children:["\n",(0,r.jsxs)(t.li,{children:["To run the flow, in the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, click ",(0,r.jsx)(d.A,{name:"Play","aria-label":"Play icon"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To view your parsed text, in the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, click ",(0,r.jsx)(d.A,{name:"TextSearch","aria-label":"Inspect icon"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Optionally, connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component, and open the ",(0,r.jsx)(t.strong,{children:"Playground"})," to see the output."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["For an additional example of using the ",(0,r.jsx)(t.strong,{children:"Parser"})," component to format a DataFrame from a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, see the ",(0,r.jsx)(t.strong,{children:"Market Research"})," template flow."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"mode"}),(0,r.jsx)(t.td,{children:"Mode"}),(0,r.jsx)(t.td,{children:'The tab selection between "Parser" and "Stringify" modes. "Stringify" converts input to a string instead of using a template.'})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"pattern"}),(0,r.jsx)(t.td,{children:"Template"}),(0,r.jsxs)(t.td,{children:["The template for formatting using variables in curly brackets. For DataFrames, use column names, such as ",(0,r.jsx)(t.code,{children:"Name: {Name}"}),". For Data objects, use ",(0,r.jsx)(t.code,{children:"{text}"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_data"}),(0,r.jsx)(t.td,{children:"Data or DataFrame"}),(0,r.jsx)(t.td,{children:"The input to parse. Accepts either a DataFrame or Data object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"sep"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsx)(t.td,{children:"The string used to separate rows or items. The default is a newline."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"clean_data"}),(0,r.jsx)(t.td,{children:"Clean Data"}),(0,r.jsx)(t.td,{children:"When stringify is enabled, this option cleans data by removing empty rows and lines."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"parsed_text"}),(0,r.jsx)(t.td,{children:"Parsed Text"}),(0,r.jsxs)(t.td,{children:["The resulting formatted text as a ",(0,r.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," object."]})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"regex-extractor",children:"Regex extractor"}),"\n",(0,r.jsx)(t.p,{children:"This component extracts patterns from text using regular expressions. It can be used to find and extract specific patterns or information from text data."}),"\n",(0,r.jsx)(t.p,{children:"To use this component in a flow:"}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"Regex Extractor"})," to a ",(0,r.jsx)(t.strong,{children:"URL"})," component and a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Regex extractor connected to url component",src:n(8886).A+"",width:"1606",height:"848"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Regex Extractor"})," tool, enter a pattern to extract text from the ",(0,r.jsx)(t.strong,{children:"URL"}),' component\'s raw output.\nThis example extracts the first paragraph from the "In the News" section of ',(0,r.jsx)(t.code,{children:"https://en.wikipedia.org/wiki/Main_Page"}),":"]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"In the news\\s*\\n(.*?)(?=\\n\\n)",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.p,{children:"Result:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Peruvian writer and Nobel Prize in Literature laureate Mario Vargas Llosa (pictured) dies at the age of 89.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.h2,{id:"save-to-file",children:"Save to File"}),"\n",(0,r.jsxs)(t.p,{children:["This component saves ",(0,r.jsx)(t.a,{href:"/concepts-objects",children:"DataFrames, Data, or Messages"})," to various file formats."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/concepts-objects",children:"DataFrames, Data, or Messages"})," to the ",(0,r.jsx)(t.strong,{children:"Save to File"})," component's input.\nThe following example connects a ",(0,r.jsx)(t.strong,{children:"Webhook"})," component to two ",(0,r.jsx)(t.strong,{children:"Save to File"})," components to demonstrate the different outputs."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Two Save-to File components connected to a webhook",src:n(35073).A+"",width:"1458",height:"1732"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Save to File"})," component's ",(0,r.jsx)(t.strong,{children:"Input Type"})," field, select the expected input type.\nThis example expects ",(0,r.jsx)(t.strong,{children:"Data"})," from the ",(0,r.jsx)(t.strong,{children:"Webhook"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"File Format"})," field, select the file type for your saved file.\nThis example uses ",(0,r.jsx)(t.code,{children:".md"})," in one ",(0,r.jsx)(t.strong,{children:"Save to File"})," component, and ",(0,r.jsx)(t.code,{children:".xlsx"})," in another."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"File Path"})," field, enter the path for your saved file.\nThis example uses ",(0,r.jsx)(t.code,{children:"./output/employees.xlsx"})," and ",(0,r.jsx)(t.code,{children:"./output/employees.md"})," to save the files in a directory relative to where Langflow is running.\nThe component accepts both relative and absolute paths, and creates any necessary directories if they don't exist."]}),"\n"]}),"\n",(0,r.jsx)(t.admonition,{type:"tip",children:(0,r.jsxs)(t.p,{children:["If you enter a format in the ",(0,r.jsx)(t.code,{children:"file_path"})," that is not accepted, the component appends the proper format to the file.\nFor example, if the selected ",(0,r.jsx)(t.code,{children:"file_format"})," is ",(0,r.jsx)(t.code,{children:"csv"}),", and you enter ",(0,r.jsx)(t.code,{children:"file_path"})," as ",(0,r.jsx)(t.code,{children:"./output/test.txt"}),", the file is saved as ",(0,r.jsx)(t.code,{children:"./output/test.txt.csv"})," so the file is not corrupted."]})}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Send a POST request to the ",(0,r.jsx)(t.strong,{children:"Webhook"})," containing your JSON data.\nReplace ",(0,r.jsx)(t.code,{children:"YOUR_FLOW_ID"})," with your flow ID.\nThis example uses the default Langflow server address."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \\',props:{}}]},{tokens:[{content:"-H 'Content-Type: application/json' \\",props:{}}]},{tokens:[{content:"-d '{",props:{}}]},{tokens:[{content:' "Name": ["Alex Cruz", "Kalani Smith", "Noam Johnson"],',props:{}}]},{tokens:[{content:' "Role": ["Developer", "Designer", "Manager"],',props:{}}]},{tokens:[{content:' "Department": ["Engineering", "Design", "Management"]',props:{}}]},{tokens:[{content:"}'",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"6",children:["\n",(0,r.jsxs)(t.li,{children:["In your local filesystem, open the ",(0,r.jsx)(t.code,{children:"outputs"})," directory.\nYou should see two files created from the data you've sent: one in ",(0,r.jsx)(t.code,{children:".xlsx"})," for structured spreadsheets, and one in Markdown."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"| Name | Role | Department |",props:{}}]},{tokens:[{content:"|:-------------|:----------|:-------------|",props:{}}]},{tokens:[{content:"| Alex Cruz | Developer | Engineering |",props:{}}]},{tokens:[{content:"| Kalani Smith | Designer | Design |",props:{}}]},{tokens:[{content:"| Noam Johnson | Manager | Management |",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.h3,{id:"file-input-format-options",children:"File input format options"}),"\n",(0,r.jsxs)(t.p,{children:["For ",(0,r.jsx)(t.code,{children:"DataFrame"})," and ",(0,r.jsx)(t.code,{children:"Data"})," inputs, the component can create:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"csv"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"excel"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"json"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"markdown"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"pdf"})}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["For ",(0,r.jsx)(t.code,{children:"Message"})," inputs, the component can create:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"txt"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"json"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"markdown"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"pdf"})}),"\n"]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_text"}),(0,r.jsx)(t.td,{children:"Input Text"}),(0,r.jsx)(t.td,{children:"The text to analyze and extract patterns from."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"pattern"}),(0,r.jsx)(t.td,{children:"Regex Pattern"}),(0,r.jsx)(t.td,{children:"The regular expression pattern to match in the text."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_type"}),(0,r.jsx)(t.td,{children:"Input Type"}),(0,r.jsx)(t.td,{children:"The type of input to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The DataFrame to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The Data object to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"message"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"The Message to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"file_format"}),(0,r.jsx)(t.td,{children:"File Format"}),(0,r.jsx)(t.td,{children:"The file format to save the input in."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"file_path"}),(0,r.jsx)(t.td,{children:"File Path"}),(0,r.jsx)(t.td,{children:"The full file path including filename and extension."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"A list of extracted matches as Data objects."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"The extracted matches formatted as a Message object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"confirmation"}),(0,r.jsx)(t.td,{children:"Confirmation"}),(0,r.jsx)(t.td,{children:"The confirmation message after saving the file."})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"split-text",children:"Split text"}),"\n",(0,r.jsx)(t.p,{children:"This component splits text into chunks based on specified criteria. It's ideal for chunking data to be tokenized and embedded into vector databases."}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Split Text"})," component outputs ",(0,r.jsx)(t.strong,{children:"Chunks"})," or ",(0,r.jsx)(t.strong,{children:"DataFrame"}),".\nThe ",(0,r.jsx)(t.strong,{children:"Chunks"})," output returns a list of individual text chunks.\nThe ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output returns a structured data format, with additional ",(0,r.jsx)(t.code,{children:"text"})," and ",(0,r.jsx)(t.code,{children:"metadata"})," columns applied."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/concepts-objects",children:"Data or DataFrame"})," to the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component's ",(0,r.jsx)(t.strong,{children:"Data"})," port.\nThis example uses the ",(0,r.jsx)(t.strong,{children:"URL"})," component, which is fetching JSON placeholder data."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Split text component and chroma-db",src:n(49823).A+"",width:"2198",height:"1626"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component, define your data splitting parameters."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["This example splits incoming JSON data at the separator ",(0,r.jsx)(t.code,{children:"},"}),", so each chunk contains one JSON object."]}),"\n",(0,r.jsxs)(t.p,{children:["The order of precedence is ",(0,r.jsx)(t.strong,{children:"Separator"}),", then ",(0,r.jsx)(t.strong,{children:"Chunk Size"}),", and then ",(0,r.jsx)(t.strong,{children:"Chunk Overlap"}),".\nIf any segment after separator splitting is longer than ",(0,r.jsx)(t.code,{children:"chunk_size"}),", it is split again to fit within ",(0,r.jsx)(t.code,{children:"chunk_size"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["After ",(0,r.jsx)(t.code,{children:"chunk_size"}),", ",(0,r.jsx)(t.strong,{children:"Chunk Overlap"})," is applied between chunks to maintain context."]}),"\n",(0,r.jsxs)(t.ol,{start:"3",children:["\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component to the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output to view its output."]}),"\n",(0,r.jsxs)(t.li,{children:["Click ",(0,r.jsx)(t.strong,{children:"Playground"}),", and then click ",(0,r.jsx)(t.strong,{children:"Run Flow"}),".\nThe output contains a table of JSON objects split at ",(0,r.jsx)(t.code,{children:"},"}),"."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{}}]},{tokens:[{content:'"userId": 1,',props:{}}]},{tokens:[{content:'"id": 1,',props:{}}]},{tokens:[{content:'"title": "Introduction to Artificial Intelligence",',props:{}}]},{tokens:[{content:'"body": "Learn the basics of Artificial Intelligence and its applications in various industries.",',props:{}}]},{tokens:[{content:'"link": "https://example.com/article1",',props:{}}]},{tokens:[{content:'"comment_count": 8',props:{}}]},{tokens:[{content:"},",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'"userId": 2,',props:{}}]},{tokens:[{content:'"id": 2,',props:{}}]},{tokens:[{content:'"title": "Web Development with React",',props:{}}]},{tokens:[{content:'"body": "Build modern web applications using React.js and explore its powerful features.",',props:{}}]},{tokens:[{content:'"link": "https://example.com/article2",',props:{}}]},{tokens:[{content:'"comment_count": 12',props:{}}]},{tokens:[{content:"},",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Clear the ",(0,r.jsx)(t.strong,{children:"Separator"})," field, and then run the flow again.\nInstead of JSON objects, the output contains 50-character lines of text with 10 characters of overlap."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'First chunk: "title": "Introduction to Artificial Intelligence""',props:{}}]},{tokens:[{content:'Second chunk: "elligence", "body": "Learn the basics of Artif"',props:{}}]},{tokens:[{content:'Third chunk: "s of Artificial Intelligence and its applications"',props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data_inputs"}),(0,r.jsx)(t.td,{children:"Input Documents"}),(0,r.jsxs)(t.td,{children:["The data to split. The component accepts ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," or ",(0,r.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"})," objects."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_overlap"}),(0,r.jsx)(t.td,{children:"Chunk Overlap"}),(0,r.jsxs)(t.td,{children:["The number of characters to overlap between chunks. Default: ",(0,r.jsx)(t.code,{children:"200"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_size"}),(0,r.jsx)(t.td,{children:"Chunk Size"}),(0,r.jsxs)(t.td,{children:["The maximum number of characters in each chunk. Default: ",(0,r.jsx)(t.code,{children:"1000"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"separator"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsxs)(t.td,{children:["The character to split on. Default: ",(0,r.jsx)(t.code,{children:"newline"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsxs)(t.td,{children:["The key to use for the text column. Default: ",(0,r.jsx)(t.code,{children:"text"}),"."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunks"}),(0,r.jsx)(t.td,{children:"Chunks"}),(0,r.jsxs)(t.td,{children:["A list of split text chunks as ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"dataframe"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsxs)(t.td,{children:["A list of split text chunks as ",(0,r.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"})," objects."]})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"update-data",children:"Update data"}),"\n",(0,r.jsx)(t.p,{children:"This component dynamically updates or appends data with specified fields."}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"old_data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The records to update."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"number_of_fields"}),(0,r.jsx)(t.td,{children:"Number of Fields"}),(0,r.jsx)(t.td,{children:"The number of fields to add. The maximum is 15."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsx)(t.td,{children:"The key for text content."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key_validator"}),(0,r.jsx)(t.td,{children:"Text Key Validator"}),(0,r.jsx)(t.td,{children:"Validates the text key presence."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The updated Data objects."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"legacy-components",children:"Legacy components"}),"\n",(0,r.jsxs)(t.p,{children:[(0,r.jsx)(t.strong,{children:"Legacy"})," components are available for use but are no longer supported."]}),"\n",(0,r.jsx)(t.h3,{id:"alter-metadata",children:"Alter metadata"}),"\n",(0,r.jsx)(t.admonition,{type:"important",children:(0,r.jsxs)(t.p,{children:["This component is in ",(0,r.jsx)(t.strong,{children:"Legacy"}),", which means it is available for use but no longer in active development.\nInstead, use the ",(0,r.jsx)(t.a,{href:"#data-operations",children:"Data operations"})," component."]})}),"\n",(0,r.jsxs)(t.p,{children:["This component modifies metadata of input objects. It can add new metadata, update existing metadata, and remove specified metadata fields. The component works with both ",(0,r.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," and ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects, and can also create a new Data object from user-provided text."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_value"}),(0,r.jsx)(t.td,{children:"Input"}),(0,r.jsx)(t.td,{children:"Objects to which Metadata should be added."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_in"}),(0,r.jsx)(t.td,{children:"User Text"}),(0,r.jsxs)(t.td,{children:["Text input; the value is contained in the 'text' attribute of the ",(0,r.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," object. 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b/components-bundle-components.html @@ -21,7 +21,7 @@ - + diff --git a/components-custom-components.html b/components-custom-components.html index d1781fe69a..0b2b44d70b 100644 --- a/components-custom-components.html +++ b/components-custom-components.html @@ -21,7 +21,7 @@ - + diff --git a/components-data.html b/components-data.html index 578ba89081..362537acd7 100644 --- a/components-data.html +++ b/components-data.html @@ -21,7 +21,7 @@ - + diff --git a/components-embedding-models.html b/components-embedding-models.html index 554fa40e2d..42573afc70 100644 --- a/components-embedding-models.html +++ b/components-embedding-models.html @@ -21,7 +21,7 @@ - + diff --git a/components-helpers.html b/components-helpers.html index 43123a1634..d83e65a739 100644 --- a/components-helpers.html +++ b/components-helpers.html @@ -21,7 +21,7 @@ - + diff --git a/components-io.html b/components-io.html index 05a4213e30..141a1ac2d9 100644 --- a/components-io.html +++ b/components-io.html @@ -21,7 +21,7 @@ - + diff --git a/components-logic.html b/components-logic.html index d38213d771..c8d0b13690 100644 --- a/components-logic.html +++ b/components-logic.html @@ -21,7 +21,7 @@ - + diff --git a/components-memories.html b/components-memories.html index 62cca270c2..24ef5c1f65 100644 --- a/components-memories.html +++ b/components-memories.html @@ -21,7 +21,7 @@ - + diff --git a/components-models.html b/components-models.html index 6bebd04cdd..d49cb973e0 100644 --- a/components-models.html +++ b/components-models.html @@ -21,7 +21,7 @@ - + diff --git a/components-processing.html b/components-processing.html index 7acc5fe999..270aae48d4 100644 --- a/components-processing.html +++ b/components-processing.html @@ -21,7 +21,7 @@ - + @@ -40,11 +40,6 @@

The Split Text processing component in this flow splits the incoming Data into chunks to be embedded into the vector store component.

The component offers control over chunk size, overlap, and separator, which affect context and granularity in vector store retrieval results.

-

Combine data​

-
important

Prior to Langflow version 1.1.3, this component was named Merge Data.

-

This component combines multiple data sources into a single unified Data object.

-

The component iterates through the input list of data objects, merging them into a single data object. If the input list is empty, it returns an empty data object. If there's only one input data object, it returns that object unchanged. The merging process uses the addition operator to combine data objects.

-
Parameters

Inputs

NameDisplay NameInfo
dataDataA list of data objects to be merged.

Outputs

NameDisplay NameInfo
merged_dataMerged DataA single Data object containing the combined information from all input data objects.

DataFrame operations​

This component performs operations on DataFrame rows and columns.

To use this component in a flow, connect a component that outputs DataFrame to the DataFrame Operations component.

@@ -128,14 +123,6 @@ The Data to DataFrame component converts the webhook request in

_10
| text | data |
_10
|:--------------------------------|:---------------------------------------------------------------------|
_10
| Kalani Smith - Employee Profile | {'Name': 'Kalani Smith', 'Role': 'Designer', 'Department': 'Design'} |

Parameters

Inputs

NameDisplay NameInfo
data_listData or Data ListOne or multiple Data objects to transform into a DataFrame.

Outputs

NameDisplay NameInfo
dataframeDataFrameA DataFrame built from each Data object's fields plus a text column.
-

Filter data​

-
important

This component is in Beta as of Langflow version 1.1.3, and is not yet fully supported.

-

This component filters a Data object based on a list of keys.

-
Parameters

Inputs

NameDisplay NameInfo
dataDataThe Data object to filter.
filter_criteriaFilter CriteriaA list of keys to filter by.

Outputs

NameDisplay NameInfo
filtered_dataFiltered DataA new Data object containing only the key-value pairs that match the filter criteria.
-

Filter values​

-
important

This component is in Beta as of Langflow version 1.1.3, and is not yet fully supported.

-

The Filter values component filters a list of data items based on a specified key, filter value, and comparison operator.

-
Parameters

Inputs

NameDisplay NameInfo
input_dataInput dataThe list of data items to filter.
filter_keyFilter KeyThe key to filter on.
filter_valueFilter ValueThe value to filter by.
operatorComparison OperatorThe operator to apply for comparing the values.

Outputs

NameDisplay NameInfo
filtered_dataFiltered dataThe resulting list of filtered data items.

Lambda filter​

This component uses an LLM to generate a Lambda function for filtering or transforming structured data.

To use the Lambda filter component, you must connect it to a Language Model component, which the component uses to generate a function based on the natural language instructions in the Instructions field.

@@ -274,11 +261,18 @@ Instead of JSON objects, the output contains 50-character lines of text with 10

Legacy components​

Legacy components are available for use but are no longer supported.

Alter metadata​

+
important

This component is in Legacy, which means it is available for use but no longer in active development. +Instead, use the Data operations component.

This component modifies metadata of input objects. It can add new metadata, update existing metadata, and remove specified metadata fields. The component works with both Message and Data objects, and can also create a new Data object from user-provided text.

-
Parameters

Inputs

NameDisplay NameInfo
input_valueInputObjects to which Metadata should be added
text_inUser TextText input; the value is contained in the 'text' attribute of the Data object. Empty text entries are ignored.
metadataMetadataMetadata to add to each object
remove_fieldsFields to RemoveMetadata fields to remove

Outputs

NameDisplay NameInfo
dataDataList of Input objects, each with added metadata
+
Parameters

Inputs

NameDisplay NameInfo
input_valueInputObjects to which Metadata should be added.
text_inUser TextText input; the value is contained in the 'text' attribute of the Data object. Empty text entries are ignored.
metadataMetadataMetadata to add to each object.
remove_fieldsFields to RemoveMetadata fields to remove.

Outputs

NameDisplay NameInfo
dataDataList of Input objects, each with added metadata.
+

Combine data​

+
important

This component is in Legacy, which means it is available for use but no longer in active development. +Prior to Langflow version 1.1.3, this component was named Merge Data.

+

This component combines multiple data sources into a single unified Data object.

+

The component iterates through the input list of data objects, merging them into a single data object. If the input list is empty, it returns an empty data object. If there's only one input data object, it returns that object unchanged. The merging process uses the addition operator to combine data objects.

+
Parameters

Inputs

NameDisplay NameInfo
dataDataA list of data objects to be merged.

Outputs

NameDisplay NameInfo
merged_dataMerged DataA single Data object containing the combined information from all input data objects.

Combine text​

-
important

This component is in Legacy, which means it is no longer in active development. -Instead, use the Combine data component.

+
important

This component is in Legacy, which means it is available for use but no longer in active development.

This component concatenates two text sources into a single text chunk using a specified delimiter.

  1. To use this component in a flow, connect two components that output Messages to the Combine Text component's First Text and Second Text inputs. @@ -297,25 +291,36 @@ The combined text appears in the Playground.

    2. _10
    This is the first text. Let's combine text!
    _10
    end first text
    _10
    start second text
    _10
    Here's the second part. We'll see how combining text works.

    Parameters

    Inputs

    NameDisplay NameInfo
    first_textFirst TextThe first text input to concatenate.
    second_textSecond TextThe second text input to concatenate.
    delimiterDelimiterA string used to separate the two text inputs. The default is a space.

    Outputs

    NameDisplay NameInfo
    messageMessageA Message object containing the combined text.

    Create data​

    -
    important

    This component is in Legacy, which means it is no longer in active development as of Langflow version 1.1.3.

    +
    important

    This component is in Legacy, which means it is available for use but no longer in active development.

    This component dynamically creates a Data object with a specified number of fields.

    Parameters

    Inputs

    NameDisplay NameInfo
    number_of_fieldsNumber of FieldsThe number of fields to be added to the record.
    text_keyText KeyKey that identifies the field to be used as the text content.
    text_key_validatorText Key ValidatorIf enabled, checks if the given Text Key is present in the given Data.

    Outputs

    NameDisplay NameInfo
    dataDataA Data object created with the specified fields and text key.
    +

    Filter data​

    +
    important

    This component is in Legacy, which means it is available for use but no longer in active development. +Instead, use the Data operations component.

    +

    This component filters a Data object based on a list of keys.

    +
    Parameters

    Inputs

    NameDisplay NameInfo
    dataDataThe Data object to filter.
    filter_criteriaFilter CriteriaA list of keys to filter by.

    Outputs

    NameDisplay NameInfo
    filtered_dataFiltered DataA new Data object containing only the key-value pairs that match the filter criteria.
    +

    Filter values​

    +
    important

    This component is in Legacy, which means it is available for use but no longer in active development. +Instead, use the Data operations component.

    +

    The Filter values component filters a list of data items based on a specified key, filter value, and comparison operator.

    +
    Parameters

    Inputs

    NameDisplay NameInfo
    input_dataInput dataThe list of data items to filter.
    filter_keyFilter KeyThe key to filter on.
    filter_valueFilter ValueThe value to filter by.
    operatorComparison OperatorThe operator to apply for comparing the values.

    Outputs

    NameDisplay NameInfo
    filtered_dataFiltered dataThe resulting list of filtered data items.

    JSON cleaner​

    +
    important

    This component is in Legacy, which means it is available for use but no longer in active development.

    The JSON cleaner component cleans JSON strings to ensure they are fully compliant with the JSON specification.

    Parameters

    Inputs

    NameDisplay NameInfo
    json_strJSON StringThe JSON string to be cleaned. This can be a raw, potentially malformed JSON string produced by language models or other sources that may not fully comply with JSON specifications.
    remove_control_charsRemove Control CharactersIf set to True, this option removes control characters (ASCII characters 0-31 and 127) from the JSON string. This can help eliminate invisible characters that might cause parsing issues or make the JSON invalid.
    normalize_unicodeNormalize UnicodeWhen enabled, this option normalizes Unicode characters in the JSON string to their canonical composition form (NFC). This ensures consistent representation of Unicode characters across different systems and prevents potential issues with character encoding.
    validate_jsonValidate JSONIf set to True, this option attempts to parse the JSON string to ensure it is well-formed before applying the final repair operation. It raises a ValueError if the JSON is invalid, allowing for early detection of major structural issues in the JSON.

    Outputs

    NameDisplay NameInfo
    outputCleaned JSON StringThe resulting cleaned, repaired, and validated JSON string that fully complies with the JSON specification.

    Parse DataFrame​

    -
    important

    This component is in Legacy, which means it is no longer in active development as of Langflow version 1.3. +

    important

    This component is in Legacy, which means it is available for use but no longer in active development. Instead, use the Parser component.

    This component converts DataFrames into plain text using templates.

    Parameters

    Inputs

    NameDisplay NameInfo
    dfDataFrameThe DataFrame to convert to text rows.
    templateTemplateTemplate for formatting (use {column_name} placeholders).
    sepSeparatorString to join rows in output.

    Outputs

    NameDisplay NameInfo
    textTextAll rows combined into single text.

    Parse JSON​

    -
    important

    This component is in Legacy, which means it is no longer in active development as of Langflow version 1.1.3.

    +
    important

    This component is in Legacy, which means it is available for use but no longer in active development.

    This component converts and extracts JSON fields using JQ queries.

    Parameters

    Inputs

    NameDisplay NameInfo
    input_valueInputData object to filter (Message or Data).
    queryJQ QueryJQ Query to filter the data

    Outputs

    NameDisplay NameInfo
    filtered_dataFiltered DataFiltered data as list of Data objects.

    Select data​

    -
    important

    This component is in Legacy, which means it is no longer in active development as of Langflow version 1.1.3.

    +
    important

    This component is in Legacy, which means it is available for use but no longer in active development.

    This component selects a single Data item from a list.

    -
    Parameters

    Inputs

    NameDisplay NameInfo
    data_listData ListList of data to select from
    data_indexData IndexIndex of the data to select

    Outputs

    NameDisplay NameInfo
    selected_dataSelected DataThe selected Data object.