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+ diff --git a/api/save-store-api-key.html b/api/save-store-api-key.html index 1d58ea09af..110ffa5f0c 100644 --- a/api/save-store-api-key.html +++ b/api/save-store-api-key.html @@ -21,7 +21,7 @@ - + diff --git a/api/share-component.html b/api/share-component.html index 33a3db3448..be21a46586 100644 --- a/api/share-component.html +++ b/api/share-component.html @@ -21,7 +21,7 @@ - + diff --git a/api/simplified-run-flow.html b/api/simplified-run-flow.html index 8f2ac91d68..85276aa4e3 100644 --- a/api/simplified-run-flow.html +++ b/api/simplified-run-flow.html @@ -21,7 +21,7 @@ - + diff --git a/api/stream-logs.html b/api/stream-logs.html index 62cf112885..80a6d3a1b4 100644 --- a/api/stream-logs.html +++ b/api/stream-logs.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-flow.html b/api/update-flow.html index 71ca96d9d2..8bce3857f6 100644 --- a/api/update-flow.html +++ b/api/update-flow.html @@ -21,7 +21,7 @@ - + diff --git a/api/update-folder-redirect.html b/api/update-folder-redirect.html index 99e193bedb..1549710b4c 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 cd0daaa44c..b2a66f9677 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 d4796ef19f..e20047b7fd 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 c04c4ba2ab..ff77d3c460 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 c29c565820..1d0c090e13 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 000167dcaf..fa08cb9a06 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 c6a4c89922..6230024ff2 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 29474de9d3..147b168e1b 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 dd33824ff7..6e5d948da0 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 6444ab774f..f54daf27d3 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 ffb5c44c68..07943f17a5 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 c54ebc1c4b..7c4975fcd1 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 31bcad3d02..446be83e87 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 16b40a09bf..3306144018 100644 --- a/api/webhook-run-flow.html +++ b/api/webhook-run-flow.html @@ -21,7 +21,7 @@ - + diff --git a/assets/js/2ab0d4f5.8ef339a6.js b/assets/js/2ab0d4f5.e2cf26bf.js similarity index 50% rename from assets/js/2ab0d4f5.8ef339a6.js rename to assets/js/2ab0d4f5.e2cf26bf.js index 50d8e76109..40172e9284 100644 --- a/assets/js/2ab0d4f5.8ef339a6.js +++ b/assets/js/2ab0d4f5.e2cf26bf.js @@ -1 +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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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:"Smart function"})," 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:"Smart function"})," 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:"Smart function"})," 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://localhost: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://localhost: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://localhost: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:"smart-function",children:"Smart function"}),"\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:"Smart function"})," 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:"Smart function"})," 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 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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://localhost: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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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://localhost: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://localhost: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://localhost: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:"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://localhost: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:"smart-function",children:"Smart function"}),"\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:"Smart function"})," 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:"Smart function"})," 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:"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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diff --git a/components-io.html b/components-io.html index 5e3ba14ae7..ff0debd0ab 100644 --- a/components-io.html +++ b/components-io.html @@ -21,7 +21,7 @@ - + diff --git a/components-logic.html b/components-logic.html index d22f4cc23a..44a8d589f0 100644 --- a/components-logic.html +++ b/components-logic.html @@ -21,7 +21,7 @@ - + diff --git a/components-memories.html b/components-memories.html index ce69620b32..cac0f20930 100644 --- a/components-memories.html +++ b/components-memories.html @@ -21,7 +21,7 @@ - + diff --git a/components-models.html b/components-models.html index 7df3e526a6..09c1ef48c6 100644 --- a/components-models.html +++ b/components-models.html @@ -21,7 +21,7 @@ - + diff --git a/components-processing.html b/components-processing.html index 0ec3beb723..00f719d63a 100644 --- a/components-processing.html +++ b/components-processing.html @@ -21,7 +21,7 @@ - + @@ -123,14 +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.
-

Smart function​

-

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

-

To use the Smart function 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.

-

This example gets JSON data from the https://jsonplaceholder.typicode.com/users API endpoint. -The Instructions field in the Smart function component specifies the task extract emails. -The connected LLM creates a filter based on the instructions, and successfully extracts a list of email addresses from the JSON data.

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Parameters

Inputs

NameDisplay NameInfo
dataDataThe structured data to filter or transform using a Lambda function.
llmLanguage ModelThe connection port for a Model component.
filter_instructionInstructionsThe natural language instructions for how to filter or transform the data using a Lambda function, such as Filter the data to only include items where the 'status' is 'active'.
sample_sizeSample SizeFor large datasets, the number of characters to sample from the dataset head and tail.
max_sizeMax SizeThe number of characters for the data to be considered "large", which triggers sampling by the sample_size value.

Outputs

NameDisplay NameInfo
filtered_dataFiltered DataThe filtered or transformed Data object.
dataframeDataFrameThe filtered data as a DataFrame.

LLM router​

This component routes requests to the most appropriate LLM based on OpenRouter model specifications.

Parameters

Inputs

NameDisplay NameInfo
modelsLanguage ModelsA list of LLMs to route between.
input_valueInputThe input message to be routed.
judge_llmJudge LLMThe LLM that evaluates and selects the most appropriate model.
optimizationOptimizationThe optimization preference between quality, speed, cost, or balanced.

Outputs

NameDisplay NameInfo
outputOutputThe response from the selected model.
selected_modelSelected ModelThe name of the chosen model.
@@ -226,6 +218,14 @@ You should see two files created from the data you've sent: one in .x
  • pdf
    • Parameters

    Inputs

    NameDisplay NameInfo
    input_textInput TextThe text to analyze and extract patterns from.
    patternRegex PatternThe regular expression pattern to match in the text.
    input_typeInput TypeThe type of input to save.
    dfDataFrameThe DataFrame to save.
    dataDataThe Data object to save.
    messageMessageThe Message to save.
    file_formatFile FormatThe file format to save the input in.
    file_pathFile PathThe full file path including filename and extension.

    Outputs

    NameDisplay NameInfo
    dataDataA list of extracted matches as Data objects.
    textMessageThe extracted matches formatted as a Message object.
    confirmationConfirmationThe confirmation message after saving the file.
    +

    Smart function​

    +

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

    +

    To use the Smart function 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.

    +

    This example gets JSON data from the https://jsonplaceholder.typicode.com/users API endpoint. +The Instructions field in the Smart function component specifies the task extract emails. +The connected LLM creates a filter based on the instructions, and successfully extracts a list of email addresses from the JSON data.

    +

    +
    Parameters

    Inputs

    NameDisplay NameInfo
    dataDataThe structured data to filter or transform using a Lambda function.
    llmLanguage ModelThe connection port for a Model component.
    filter_instructionInstructionsThe natural language instructions for how to filter or transform the data using a Lambda function, such as Filter the data to only include items where the 'status' is 'active'.
    sample_sizeSample SizeFor large datasets, the number of characters to sample from the dataset head and tail.
    max_sizeMax SizeThe number of characters for the data to be considered "large", which triggers sampling by the sample_size value.

    Outputs

    NameDisplay NameInfo
    filtered_dataFiltered DataThe filtered or transformed Data object.
    dataframeDataFrameThe filtered data as a DataFrame.

    Split text​

    This component splits text into chunks based on specified criteria. It's ideal for chunking data to be tokenized and embedded into vector databases.

    The Split Text component outputs Chunks or DataFrame. @@ -320,7 +320,7 @@ Instead, use the Parser component.

    Select data​

    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.

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    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.