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+ diff --git a/api/upload-user-file.html b/api/upload-user-file.html index 7e7ea37b1b..543d2c4abe 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 636aef8278..1824ed77d3 100644 --- a/api/webhook-run-flow.html +++ b/api/webhook-run-flow.html @@ -21,7 +21,7 @@ - + diff --git a/assets/images/component-save-to-file-67ebbb733732670897bedd9fd1b87583.png b/assets/images/component-save-to-file-67ebbb733732670897bedd9fd1b87583.png new file mode 100644 index 0000000000..c767c10b96 Binary files /dev/null and b/assets/images/component-save-to-file-67ebbb733732670897bedd9fd1b87583.png differ diff --git a/assets/js/2ab0d4f5.bcbaf5b9.js b/assets/js/2ab0d4f5.a0e17025.js similarity index 51% rename from assets/js/2ab0d4f5.bcbaf5b9.js rename to assets/js/2ab0d4f5.a0e17025.js index 5cdc590460..bec2f06199 100644 --- a/assets/js/2ab0d4f5.bcbaf5b9.js +++ b/assets/js/2ab0d4f5.a0e17025.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 can be a raw, potentially malformed JSON string produced by language models or other sources that may not fully comply with JSON specifications."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"remove_control_chars"}),(0,d.jsx)(t.td,{children:"Remove Control Characters"}),(0,d.jsx)(t.td,{children:"If set to True, this option removes control characters (ASCII characters 0-31 and 127) from the JSON string. This can help eliminate invisible characters that might cause parsing issues or make the JSON invalid."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"normalize_unicode"}),(0,d.jsx)(t.td,{children:"Normalize Unicode"}),(0,d.jsx)(t.td,{children:"When enabled, this option normalizes Unicode characters in the JSON string to their canonical composition form (NFC). This ensures consistent representation of Unicode characters across different systems and prevents potential issues with character encoding."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"validate_json"}),(0,d.jsx)(t.td,{children:"Validate JSON"}),(0,d.jsx)(t.td,{children:"If set to True, this option attempts to parse the JSON string to ensure it is well-formed before applying the final repair operation. It raises a ValueError if the JSON is invalid, allowing for early detection of major structural issues in the JSON."})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-8",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"output"}),(0,d.jsx)(t.td,{children:"Cleaned JSON String"}),(0,d.jsx)(t.td,{children:"The resulting cleaned, repaired, and validated JSON string that fully complies with the JSON specification."})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"lambda-filter",children:"Lambda filter"}),"\n",(0,d.jsx)(t.p,{children:"This component uses an LLM to generate a Lambda function for filtering or transforming structured data."}),"\n",(0,d.jsxs)(t.p,{children:["To use the ",(0,d.jsx)(t.strong,{children:"Lambda filter"})," component, you must connect it to a ",(0,d.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,d.jsx)(t.strong,{children:"Instructions"})," field."]}),"\n",(0,d.jsxs)(t.p,{children:["This example gets JSON data from the ",(0,d.jsx)(t.code,{children:"https://jsonplaceholder.typicode.com/users"})," API endpoint.\nThe ",(0,d.jsx)(t.strong,{children:"Instructions"})," field in the ",(0,d.jsx)(t.strong,{children:"Lambda filter"})," component specifies the task ",(0,d.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,d.jsx)(t.p,{children:(0,d.jsx)(t.img,{src:n(66539).A+"",width:"1742",height:"1622"})}),"\n",(0,d.jsx)(t.h3,{id:"inputs-9",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"data"}),(0,d.jsx)(t.td,{children:"Data"}),(0,d.jsx)(t.td,{children:"The structured data to filter or transform using a Lambda function."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"llm"}),(0,d.jsx)(t.td,{children:"Language Model"}),(0,d.jsxs)(t.td,{children:["The connection port for a ",(0,d.jsx)(t.a,{href:"/components-models",children:"Model"})," component."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"filter_instruction"}),(0,d.jsx)(t.td,{children:"Instructions"}),(0,d.jsxs)(t.td,{children:["Natural language instructions for how to filter or transform the data using a Lambda function, such as ",(0,d.jsx)(t.code,{children:"Filter the data to only include items where the 'status' is 'active'."})]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"sample_size"}),(0,d.jsx)(t.td,{children:"Sample Size"}),(0,d.jsx)(t.td,{children:"For large datasets, the number of characters to sample from the dataset head and tail."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"max_size"}),(0,d.jsx)(t.td,{children:"Max Size"}),(0,d.jsxs)(t.td,{children:['The number of characters for the data to be considered "large", which triggers sampling by the ',(0,d.jsx)(t.code,{children:"sample_size"})," value."]})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-9",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"filtered_data"}),(0,d.jsx)(t.td,{children:"Filtered Data"}),(0,d.jsxs)(t.td,{children:["The filtered or transformed ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data object"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"dataframe"}),(0,d.jsx)(t.td,{children:"DataFrame"}),(0,d.jsxs)(t.td,{children:["The filtered data as a ",(0,d.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"}),"."]})]})]})]}),"\n",(0,d.jsx)(t.h2,{id:"llm-router",children:"LLM router"}),"\n",(0,d.jsx)(t.p,{children:"This component routes requests to the most appropriate LLM based on OpenRouter model specifications."}),"\n",(0,d.jsx)(t.h3,{id:"inputs-10",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"models"}),(0,d.jsx)(t.td,{children:"Language Models"}),(0,d.jsx)(t.td,{children:"List of LLMs to route between"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"input_value"}),(0,d.jsx)(t.td,{children:"Input"}),(0,d.jsx)(t.td,{children:"The input message to be routed"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"judge_llm"}),(0,d.jsx)(t.td,{children:"Judge LLM"}),(0,d.jsx)(t.td,{children:"LLM that will evaluate and select the most appropriate model"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"optimization"}),(0,d.jsx)(t.td,{children:"Optimization"}),(0,d.jsx)(t.td,{children:"Optimization preference (quality/speed/cost/balanced)"})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-10",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"output"}),(0,d.jsx)(t.td,{children:"Output"}),(0,d.jsx)(t.td,{children:"The response from the selected model"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"selected_model"}),(0,d.jsx)(t.td,{children:"Selected Model"}),(0,d.jsx)(t.td,{children:"Name of the chosen model"})]})]})]}),"\n",(0,d.jsx)(t.h2,{id:"message-to-data",children:"Message to data"}),"\n",(0,d.jsxs)(t.p,{children:["This component converts ",(0,d.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," objects to ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-11",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"message"}),(0,d.jsx)(t.td,{children:"Message"}),(0,d.jsxs)(t.td,{children:["The ",(0,d.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," object to convert to a ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," object."]})]})})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-11",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"data"}),(0,d.jsx)(t.td,{children:"Data"}),(0,d.jsxs)(t.td,{children:["The converted ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," object."]})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"parser",children:"Parser"}),"\n",(0,d.jsxs)(t.p,{children:["This component formats ",(0,d.jsx)(t.code,{children:"DataFrame"})," or ",(0,d.jsx)(t.code,{children:"Data"})," objects into text using templates, with an option to convert inputs directly to strings using ",(0,d.jsx)(t.code,{children:"stringify"}),"."]}),"\n",(0,d.jsxs)(t.p,{children:["To use this component, create variables for values in the ",(0,d.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,d.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component. For ",(0,d.jsx)(t.code,{children:"DataFrames"}),", use column names, for example ",(0,d.jsx)(t.code,{children:"Name: {Name}"}),". For ",(0,d.jsx)(t.code,{children:"Data"})," objects, use ",(0,d.jsx)(t.code,{children:"{text}"}),"."]}),"\n",(0,d.jsxs)(t.p,{children:["To use the ",(0,d.jsx)(t.strong,{children:"Parser"})," component with a ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component, do the following:"]}),"\n",(0,d.jsxs)(t.ol,{children:["\n",(0,d.jsxs)(t.li,{children:["Connect a ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,d.jsx)(t.strong,{children:"DataFrame"})," output to the ",(0,d.jsx)(t.strong,{children:"Parser"})," component's ",(0,d.jsx)(t.strong,{children:"DataFrame"})," input."]}),"\n",(0,d.jsxs)(t.li,{children:["Connect the ",(0,d.jsx)(t.strong,{children:"File"})," component to the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,d.jsx)(t.strong,{children:"Message"})," input."]}),"\n",(0,d.jsxs)(t.li,{children:["Connect the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," model component's ",(0,d.jsx)(t.strong,{children:"Language Model"})," output to the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,d.jsx)(t.strong,{children:"Language Model"})," input."]}),"\n"]}),"\n",(0,d.jsx)(t.p,{children:"The flow looks like this:"}),"\n",(0,d.jsx)(t.p,{children:(0,d.jsx)(t.img,{alt:"A parser component connected to OpenAI and structured output",src:n(96218).A+"",width:"2300",height:"1436"})}),"\n",(0,d.jsxs)(t.ol,{start:"4",children:["\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component, click ",(0,d.jsx)(t.strong,{children:"Open Table"}),".\nThis opens a pane for structuring your table.\nThe table contains the rows ",(0,d.jsx)(t.strong,{children:"Name"}),", ",(0,d.jsx)(t.strong,{children:"Description"}),", ",(0,d.jsx)(t.strong,{children:"Type"}),", and ",(0,d.jsx)(t.strong,{children:"Multiple"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["Create a table that maps to the data you're loading from the ",(0,d.jsx)(t.strong,{children:"File"})," loader.\nFor example, to create a table for employees, you might have the rows ",(0,d.jsx)(t.code,{children:"id"}),", ",(0,d.jsx)(t.code,{children:"name"}),", and ",(0,d.jsx)(t.code,{children:"email"}),", all of type ",(0,d.jsx)(t.code,{children:"string"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Template"})," field of the ",(0,d.jsx)(t.strong,{children:"Parser"})," component, enter a template for parsing the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component's DataFrame output into structured text.\nCreate variables for values in the ",(0,d.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,d.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component.\nFor example, to present a table of employees in Markdown:"]}),"\n"]}),"\n",(0,d.jsx)(o.Code,{codeConfig:j,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,d.jsxs)(t.ol,{start:"7",children:["\n",(0,d.jsxs)(t.li,{children:["To run the flow, in the ",(0,d.jsx)(t.strong,{children:"Parser"})," component, click ",(0,d.jsx)(l.A,{name:"Play","aria-label":"Play icon"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["To view your parsed text, in the ",(0,d.jsx)(t.strong,{children:"Parser"})," component, click ",(0,d.jsx)(l.A,{name:"TextSearch","aria-label":"Inspect icon"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["Optionally, connect a ",(0,d.jsx)(t.strong,{children:"Chat Output"})," component, and open the ",(0,d.jsx)(t.strong,{children:"Playground"})," to see the output."]}),"\n"]}),"\n",(0,d.jsxs)(t.p,{children:["For an additional example of using the ",(0,d.jsx)(t.strong,{children:"Parser"})," component to format a DataFrame from a ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component, see the ",(0,d.jsx)(t.strong,{children:"Market Research"})," template flow."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-12",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"mode"}),(0,d.jsx)(t.td,{children:"Mode"}),(0,d.jsx)(t.td,{children:'Tab selection between "Parser" and "Stringify" modes. "Stringify" converts input to a string instead of using a template.'})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"pattern"}),(0,d.jsx)(t.td,{children:"Template"}),(0,d.jsxs)(t.td,{children:["Template for formatting using variables in curly brackets. For DataFrames, use column names, such as ",(0,d.jsx)(t.code,{children:"Name: {Name}"}),". For Data objects, use ",(0,d.jsx)(t.code,{children:"{text}"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"input_data"}),(0,d.jsx)(t.td,{children:"Data or DataFrame"}),(0,d.jsx)(t.td,{children:"The input to parse - accepts either a DataFrame or Data object."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"sep"}),(0,d.jsx)(t.td,{children:"Separator"}),(0,d.jsx)(t.td,{children:"String used to separate rows/items. Default: newline."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"clean_data"}),(0,d.jsx)(t.td,{children:"Clean Data"}),(0,d.jsx)(t.td,{children:"When stringify is enabled, cleans data by removing empty rows and lines."})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-12",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"parsed_text"}),(0,d.jsx)(t.td,{children:"Parsed Text"}),(0,d.jsxs)(t.td,{children:["The resulting formatted text as a ",(0,d.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," object."]})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"parse-dataframe",children:"Parse DataFrame"}),"\n",(0,d.jsx)(t.admonition,{type:"important",children:(0,d.jsxs)(t.p,{children:["This component is in ",(0,d.jsx)(t.strong,{children:"Legacy"}),", which means it is no longer in active development as of Langflow version 1.3.\nInstead, use the ",(0,d.jsx)(t.a,{href:"#parser",children:"Parser"})," component."]})}),"\n",(0,d.jsx)(t.p,{children:"This component converts DataFrames into plain text using templates."}),"\n",(0,d.jsx)(t.h3,{id:"inputs-13",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"df"}),(0,d.jsx)(t.td,{children:"DataFrame"}),(0,d.jsx)(t.td,{children:"The DataFrame to convert to text rows."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"template"}),(0,d.jsx)(t.td,{children:"Template"}),(0,d.jsxs)(t.td,{children:["Template for formatting (use ",(0,d.jsx)(t.code,{children:"{column_name}"})," placeholders)."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"sep"}),(0,d.jsx)(t.td,{children:"Separator"}),(0,d.jsx)(t.td,{children:"String to join rows in output."})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-13",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"text"}),(0,d.jsx)(t.td,{children:"Text"}),(0,d.jsx)(t.td,{children:"All rows combined into single text."})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"parse-json",children:"Parse JSON"}),"\n",(0,d.jsx)(t.admonition,{type:"important",children:(0,d.jsxs)(t.p,{children:["This component is in ",(0,d.jsx)(t.strong,{children:"Legacy"}),", which means it is no longer in active development as of Langflow version 1.1.3."]})}),"\n",(0,d.jsx)(t.p,{children:"This component converts and extracts JSON fields using JQ queries."}),"\n",(0,d.jsx)(t.h3,{id:"inputs-14",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"input_value"}),(0,d.jsx)(t.td,{children:"Input"}),(0,d.jsxs)(t.td,{children:["Data object to filter (",(0,d.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," or ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"}),")."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"query"}),(0,d.jsx)(t.td,{children:"JQ Query"}),(0,d.jsx)(t.td,{children:"JQ Query to filter the 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specified key, filter value, and comparison operator."}),"\n",(0,d.jsx)(t.h3,{id:"inputs-7",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"input_data"}),(0,d.jsx)(t.td,{children:"Input data"}),(0,d.jsx)(t.td,{children:"The list of data items to filter."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"filter_key"}),(0,d.jsx)(t.td,{children:"Filter Key"}),(0,d.jsx)(t.td,{children:"The key to filter on, for example, 'route'."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"filter_value"}),(0,d.jsx)(t.td,{children:"Filter Value"}),(0,d.jsx)(t.td,{children:"The value to filter by, for example, 'CMIP'."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"operator"}),(0,d.jsx)(t.td,{children:"Comparison Operator"}),(0,d.jsx)(t.td,{children:"The operator to apply for comparing the values."})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-7",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"filtered_data"}),(0,d.jsx)(t.td,{children:"Filtered data"}),(0,d.jsx)(t.td,{children:"The resulting list of filtered data items."})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"json-cleaner",children:"JSON cleaner"}),"\n",(0,d.jsx)(t.p,{children:"The JSON cleaner component cleans JSON strings to ensure they are fully compliant with the JSON specification."}),"\n",(0,d.jsx)(t.h3,{id:"inputs-8",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"json_str"}),(0,d.jsx)(t.td,{children:"JSON String"}),(0,d.jsx)(t.td,{children:"The JSON string to be cleaned. This can be a raw, potentially malformed JSON string produced by language models or other sources that may not fully comply with JSON specifications."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"remove_control_chars"}),(0,d.jsx)(t.td,{children:"Remove Control Characters"}),(0,d.jsx)(t.td,{children:"If set to True, this option removes control characters (ASCII characters 0-31 and 127) from the JSON string. This can help eliminate invisible characters that might cause parsing issues or make the JSON invalid."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"normalize_unicode"}),(0,d.jsx)(t.td,{children:"Normalize Unicode"}),(0,d.jsx)(t.td,{children:"When enabled, this option normalizes Unicode characters in the JSON string to their canonical composition form (NFC). This ensures consistent representation of Unicode characters across different systems and prevents potential issues with character encoding."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"validate_json"}),(0,d.jsx)(t.td,{children:"Validate JSON"}),(0,d.jsx)(t.td,{children:"If set to True, this option attempts to parse the JSON string to ensure it is well-formed before applying the final repair operation. It raises a ValueError if the JSON is invalid, allowing for early detection of major structural issues in the JSON."})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-8",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"output"}),(0,d.jsx)(t.td,{children:"Cleaned JSON String"}),(0,d.jsx)(t.td,{children:"The resulting cleaned, repaired, and validated JSON string that fully complies with the JSON specification."})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"lambda-filter",children:"Lambda filter"}),"\n",(0,d.jsx)(t.p,{children:"This component uses an LLM to generate a Lambda function for filtering or transforming structured data."}),"\n",(0,d.jsxs)(t.p,{children:["To use the ",(0,d.jsx)(t.strong,{children:"Lambda filter"})," component, you must connect it to a ",(0,d.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,d.jsx)(t.strong,{children:"Instructions"})," field."]}),"\n",(0,d.jsxs)(t.p,{children:["This example gets JSON data from the ",(0,d.jsx)(t.code,{children:"https://jsonplaceholder.typicode.com/users"})," API endpoint.\nThe ",(0,d.jsx)(t.strong,{children:"Instructions"})," field in the ",(0,d.jsx)(t.strong,{children:"Lambda filter"})," component specifies the task ",(0,d.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,d.jsx)(t.p,{children:(0,d.jsx)(t.img,{src:s(66539).A+"",width:"1742",height:"1622"})}),"\n",(0,d.jsx)(t.h3,{id:"inputs-9",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"data"}),(0,d.jsx)(t.td,{children:"Data"}),(0,d.jsx)(t.td,{children:"The structured data to filter or transform using a Lambda function."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"llm"}),(0,d.jsx)(t.td,{children:"Language Model"}),(0,d.jsxs)(t.td,{children:["The connection port for a ",(0,d.jsx)(t.a,{href:"/components-models",children:"Model"})," component."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"filter_instruction"}),(0,d.jsx)(t.td,{children:"Instructions"}),(0,d.jsxs)(t.td,{children:["Natural language instructions for how to filter or transform the data using a Lambda function, such as ",(0,d.jsx)(t.code,{children:"Filter the data to only include items where the 'status' is 'active'."})]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"sample_size"}),(0,d.jsx)(t.td,{children:"Sample Size"}),(0,d.jsx)(t.td,{children:"For large datasets, the number of characters to sample from the dataset head and tail."})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"max_size"}),(0,d.jsx)(t.td,{children:"Max Size"}),(0,d.jsxs)(t.td,{children:['The number of characters for the data to be considered "large", which triggers sampling by the ',(0,d.jsx)(t.code,{children:"sample_size"})," value."]})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-9",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"filtered_data"}),(0,d.jsx)(t.td,{children:"Filtered Data"}),(0,d.jsxs)(t.td,{children:["The filtered or transformed ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data object"}),"."]})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"dataframe"}),(0,d.jsx)(t.td,{children:"DataFrame"}),(0,d.jsxs)(t.td,{children:["The filtered data as a ",(0,d.jsx)(t.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"}),"."]})]})]})]}),"\n",(0,d.jsx)(t.h2,{id:"llm-router",children:"LLM router"}),"\n",(0,d.jsx)(t.p,{children:"This component routes requests to the most appropriate LLM based on OpenRouter model specifications."}),"\n",(0,d.jsx)(t.h3,{id:"inputs-10",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"models"}),(0,d.jsx)(t.td,{children:"Language Models"}),(0,d.jsx)(t.td,{children:"List of LLMs to route between"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"input_value"}),(0,d.jsx)(t.td,{children:"Input"}),(0,d.jsx)(t.td,{children:"The input message to be routed"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"judge_llm"}),(0,d.jsx)(t.td,{children:"Judge LLM"}),(0,d.jsx)(t.td,{children:"LLM that will evaluate and select the most appropriate model"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"optimization"}),(0,d.jsx)(t.td,{children:"Optimization"}),(0,d.jsx)(t.td,{children:"Optimization preference (quality/speed/cost/balanced)"})]})]})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-10",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"output"}),(0,d.jsx)(t.td,{children:"Output"}),(0,d.jsx)(t.td,{children:"The response from the selected model"})]}),(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"selected_model"}),(0,d.jsx)(t.td,{children:"Selected Model"}),(0,d.jsx)(t.td,{children:"Name of the chosen model"})]})]})]}),"\n",(0,d.jsx)(t.h2,{id:"message-to-data",children:"Message to data"}),"\n",(0,d.jsxs)(t.p,{children:["This component converts ",(0,d.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," objects to ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," objects."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-11",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"message"}),(0,d.jsx)(t.td,{children:"Message"}),(0,d.jsxs)(t.td,{children:["The ",(0,d.jsx)(t.a,{href:"/concepts-objects#message-object",children:"Message"})," object to convert to a ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," object."]})]})})]}),"\n",(0,d.jsx)(t.h3,{id:"outputs-11",children:"Outputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsx)(t.tbody,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"data"}),(0,d.jsx)(t.td,{children:"Data"}),(0,d.jsxs)(t.td,{children:["The converted ",(0,d.jsx)(t.a,{href:"/concepts-objects#data-object",children:"Data"})," object."]})]})})]}),"\n",(0,d.jsx)(t.h2,{id:"parser",children:"Parser"}),"\n",(0,d.jsxs)(t.p,{children:["This component formats ",(0,d.jsx)(t.code,{children:"DataFrame"})," or ",(0,d.jsx)(t.code,{children:"Data"})," objects into text using templates, with an option to convert inputs directly to strings using ",(0,d.jsx)(t.code,{children:"stringify"}),"."]}),"\n",(0,d.jsxs)(t.p,{children:["To use this component, create variables for values in the ",(0,d.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,d.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component. For ",(0,d.jsx)(t.code,{children:"DataFrames"}),", use column names, for example ",(0,d.jsx)(t.code,{children:"Name: {Name}"}),". For ",(0,d.jsx)(t.code,{children:"Data"})," objects, use ",(0,d.jsx)(t.code,{children:"{text}"}),"."]}),"\n",(0,d.jsxs)(t.p,{children:["To use the ",(0,d.jsx)(t.strong,{children:"Parser"})," component with a ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component, do the following:"]}),"\n",(0,d.jsxs)(t.ol,{children:["\n",(0,d.jsxs)(t.li,{children:["Connect a ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,d.jsx)(t.strong,{children:"DataFrame"})," output to the ",(0,d.jsx)(t.strong,{children:"Parser"})," component's ",(0,d.jsx)(t.strong,{children:"DataFrame"})," input."]}),"\n",(0,d.jsxs)(t.li,{children:["Connect the ",(0,d.jsx)(t.strong,{children:"File"})," component to the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,d.jsx)(t.strong,{children:"Message"})," input."]}),"\n",(0,d.jsxs)(t.li,{children:["Connect the ",(0,d.jsx)(t.strong,{children:"OpenAI"})," model component's ",(0,d.jsx)(t.strong,{children:"Language Model"})," output to the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,d.jsx)(t.strong,{children:"Language Model"})," input."]}),"\n"]}),"\n",(0,d.jsx)(t.p,{children:"The flow looks like this:"}),"\n",(0,d.jsx)(t.p,{children:(0,d.jsx)(t.img,{alt:"A parser component connected to OpenAI and structured output",src:s(96218).A+"",width:"2300",height:"1436"})}),"\n",(0,d.jsxs)(t.ol,{start:"4",children:["\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component, click ",(0,d.jsx)(t.strong,{children:"Open Table"}),".\nThis opens a pane for structuring your table.\nThe table contains the rows ",(0,d.jsx)(t.strong,{children:"Name"}),", ",(0,d.jsx)(t.strong,{children:"Description"}),", ",(0,d.jsx)(t.strong,{children:"Type"}),", and ",(0,d.jsx)(t.strong,{children:"Multiple"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["Create a table that maps to the data you're loading from the ",(0,d.jsx)(t.strong,{children:"File"})," loader.\nFor example, to create a table for employees, you might have the rows ",(0,d.jsx)(t.code,{children:"id"}),", ",(0,d.jsx)(t.code,{children:"name"}),", and ",(0,d.jsx)(t.code,{children:"email"}),", all of type ",(0,d.jsx)(t.code,{children:"string"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["In the ",(0,d.jsx)(t.strong,{children:"Template"})," field of the ",(0,d.jsx)(t.strong,{children:"Parser"})," component, enter a template for parsing the ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component's DataFrame output into structured text.\nCreate variables for values in the ",(0,d.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,d.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component.\nFor example, to present a table of employees in Markdown:"]}),"\n"]}),"\n",(0,d.jsx)(o.Code,{codeConfig:j,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,d.jsxs)(t.ol,{start:"7",children:["\n",(0,d.jsxs)(t.li,{children:["To run the flow, in the ",(0,d.jsx)(t.strong,{children:"Parser"})," component, click ",(0,d.jsx)(l.A,{name:"Play","aria-label":"Play icon"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["To view your parsed text, in the ",(0,d.jsx)(t.strong,{children:"Parser"})," component, click ",(0,d.jsx)(l.A,{name:"TextSearch","aria-label":"Inspect icon"}),"."]}),"\n",(0,d.jsxs)(t.li,{children:["Optionally, connect a ",(0,d.jsx)(t.strong,{children:"Chat Output"})," component, and open the ",(0,d.jsx)(t.strong,{children:"Playground"})," to see the output."]}),"\n"]}),"\n",(0,d.jsxs)(t.p,{children:["For an additional example of using the ",(0,d.jsx)(t.strong,{children:"Parser"})," component to format a DataFrame from a ",(0,d.jsx)(t.strong,{children:"Structured Output"})," component, see the ",(0,d.jsx)(t.strong,{children:"Market Research"})," template flow."]}),"\n",(0,d.jsx)(t.h3,{id:"inputs-12",children:"Inputs"}),"\n",(0,d.jsxs)(t.table,{children:[(0,d.jsx)(t.thead,{children:(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.th,{children:"Name"}),(0,d.jsx)(t.th,{children:"Display Name"}),(0,d.jsx)(t.th,{children:"Info"})]})}),(0,d.jsxs)(t.tbody,{children:[(0,d.jsxs)(t.tr,{children:[(0,d.jsx)(t.td,{children:"mode"}),(0,d.jsx)(t.td,{children:"Mode"}),(0,d.jsx)(t.td,{children:'Tab selection between "Parser" and "Stringify" modes. 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b/components-bundle-components.html @@ -21,7 +21,7 @@ - + diff --git a/components-custom-components.html b/components-custom-components.html index eca0898dcd..0802c3afb0 100644 --- a/components-custom-components.html +++ b/components-custom-components.html @@ -21,7 +21,7 @@ - + diff --git a/components-data.html b/components-data.html index 3d882649ca..349da027e0 100644 --- a/components-data.html +++ b/components-data.html @@ -21,7 +21,7 @@ - + diff --git a/components-embedding-models.html b/components-embedding-models.html index e10c7c858f..959a09e980 100644 --- a/components-embedding-models.html +++ b/components-embedding-models.html @@ -21,7 +21,7 @@ - + diff --git a/components-helpers.html b/components-helpers.html index 9717a8e4d0..c8ce06cb5b 100644 --- a/components-helpers.html +++ b/components-helpers.html @@ -21,7 +21,7 @@ - + diff --git a/components-io.html b/components-io.html index 756bd9dcd9..ffd9a2b937 100644 --- a/components-io.html +++ b/components-io.html @@ -21,7 +21,7 @@ - + diff --git a/components-loaders.html b/components-loaders.html index 5c052cd2c2..be55a204ee 100644 --- a/components-loaders.html +++ b/components-loaders.html @@ -21,7 +21,7 @@ - + diff --git a/components-logic.html b/components-logic.html index 7b32ad9b44..7806ef0630 100644 --- a/components-logic.html +++ b/components-logic.html @@ -21,7 +21,7 @@ - + diff --git a/components-memories.html b/components-memories.html index 9df50e58b1..85e3648130 100644 --- a/components-memories.html +++ b/components-memories.html @@ -21,7 +21,7 @@ - + diff --git a/components-models.html b/components-models.html index a710078914..ac7211c497 100644 --- a/components-models.html +++ b/components-models.html @@ -21,7 +21,7 @@ - + diff --git a/components-processing.html b/components-processing.html index 086fd8f1e7..8f4a7486bd 100644 --- a/components-processing.html +++ b/components-processing.html @@ -21,7 +21,7 @@ - + @@ -174,25 +174,74 @@ Instead, use the Parser component.

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

Outputs​

NameDisplay NameInfo
filtered_dataFiltered DataFiltered data as list of Data objects.
+

Save to File​

+

This component saves DataFrames, Data, or Messages to various file formats.

+
    +
  1. To use this component in a flow, connect a component that outputs DataFrames, Data, or Messages to the Save to File component's input. +The following example connects a Webhook component to two Save to File components to demonstrate the different outputs.
    2. +
+

Two Save-to File components connected to a webhook

+
    +
  1. In the Save to File component's Input Type field, select the expected input type. +This example expects Data from the Webhook.
    2. +
  2. In the File Format field, select the file type for your saved file. +This example uses .md in one Save to File component, and .xlsx in another.
    3. +
  3. In the File Path field, enter the path for your saved file. +This example uses ./output/employees.xlsx and ./output/employees.md to save the files in a directory relative to where Langflow is running. +The component accepts both relative and absolute paths, and creates any necessary directories if they don't exist.
    4. +
+
tip

If you enter a format in the file_path that is not accepted, the component appends the proper format to the file. +For example, if the selected file_format is csv, and you enter file_path as ./output/test.txt, the file will be saved as ./output/test.txt.csv so the file is not corrupted.

+
    +
  1. Send a POST request to the Webhook containing your JSON data. +Replace YOUR_FLOW_ID with your flow ID. +This example uses the default Langflow server address.
    2. +
+

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curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \
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-H 'Content-Type: application/json' \
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-d '{
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"Name": ["Alex Cruz", "Kalani Smith", "Noam Johnson"],
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"Role": ["Developer", "Designer", "Manager"],
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"Department": ["Engineering", "Design", "Management"]
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}'

+
    +
  1. In your local filesystem, open the outputs directory. +You should see two files created from the data you've sent: one in .xlsx for structured spreadsheets, and one in Markdown.
    2. +
+

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| Name | Role | Department |
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|:-------------|:----------|:-------------|
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| Alex Cruz | Developer | Engineering |
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| Kalani Smith | Designer | Design |
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| Noam Johnson | Manager | Management |

+

File input format options​

+

For DataFrame and Data inputs, the component can create:

+
    +
  • csv
    • +
  • excel
    • +
  • json
    • +
  • markdown
    • +
  • pdf
    • +
+

For Message inputs, the component can create:

+
    +
  • txt
    • +
  • json
    • +
  • markdown
    • +
  • pdf
    • +
+

Inputs​

+
NameDisplay NameInfo
input_typeInput TypeSelect the type of input to save.
dfDataFrameThe DataFrame to save.
dataDataThe Data object to save.
messageMessageThe Message to save.
file_formatFile FormatSelect the file format to save the input.
file_pathFile PathThe full file path including filename and extension.
+

Outputs​

+
NameDisplay NameInfo
confirmationConfirmationConfirmation message after saving the file.

Select data​

important

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

This component selects a single Data item from a list.

-

Inputs​

+

Inputs​

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

Outputs​

+

Outputs​

NameDisplay NameInfo
selected_dataSelected DataThe selected Data object.

Split text​

This component splits text into chunks based on specified criteria.

-

Inputs​

+

Inputs​

NameDisplay NameInfo
data_inputsInput DocumentsThe data to split.The component accepts Data or DataFrame objects.
chunk_overlapChunk OverlapThe number of characters to overlap between chunks. Default: 200.
chunk_sizeChunk SizeThe maximum number of characters in each chunk. Default: 1000.
separatorSeparatorThe character to split on. Default: newline.
text_keyText KeyThe key to use for the text column (advanced). Default: text.
-

Outputs​

+

Outputs​

NameDisplay NameInfo
chunksChunksList of split text chunks as Data objects.
dataframeDataFrameList of split text chunks as DataFrame objects.

Update data​

This component dynamically updates or appends data with specified fields.

-

Inputs​

+

Inputs​

NameDisplay NameInfo
old_dataDataThe records to update
number_of_fieldsNumber of FieldsNumber of fields to add (max 15)
text_keyText KeyKey for text content
text_key_validatorText Key ValidatorValidates text key presence
-

Outputs​

-
NameDisplay NameInfo
dataDataUpdated Data objects.