[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_164":165,"_166":167},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_103":85,"_27":104,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":25,"_118":119,"_120":49,"_121":-5,"_122":-5,"_123":124},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":49,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":31,"_57":49,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",89,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.tsx","latestPath","fileId","cb801564-26db-11f0-a5b3-569c3dd06744","name","fileType","http","content","import { generateMerchantTransactionData } from \"https://esm.town/v/mjweaver01/generateMerchantTransactionData\";\nimport { prompt } from \"https://esm.town/v/mjweaver01/merchantAnalysisPrompt\";\n\nimport { Hono } from \"npm:hono\";\nimport { OpenAI } from \"npm:openai\";\n\nconst trendGPT = async (data, onData) => {\n const openai = new OpenAI();\n\n const chatStream = await openai.chat.completions.create({\n messages: [\n { role: \"system\", content: prompt.replaceAll(\"\\n\", \"\") },\n { role: \"user\", content: JSON.stringify(data) },\n ],\n model: \"chatgpt-4o-latest\",\n max_tokens: 4000,\n temperature: 0,\n stream: true,\n });\n\n let result = \"\";\n try {\n for await (const chunk of chatStream) {\n const content = chunk.choices?.[0]?.delta?.content || \"\";\n result += content;\n if (onData) onData(result);\n }\n } catch (err) {\n console.error(\"Error during stream processing:\", err);\n throw new Error(\"An error occurred while streaming the response.\");\n }\n\n return result;\n};\n\nconst trendsData = generateMerchantTransactionData();\nconst app = new Hono();\n\napp.get(\"/\", async (c) => {\n const { readable, writable } = new TransformStream();\n const writer = writable.getWriter();\n const encoder = new TextEncoder();\n\n writer.write(encoder.encode(`\n \n \n \n \n \n \n \n

\n \n \n \n \n `));\n\n let previousContent = \"\";\n trendGPT(JSON.stringify(trendsData), (streamedData) => {\n const newContent = streamedData.slice(previousContent.length);\n previousContent = streamedData;\n writer.write(encoder.encode(`\n \n `));\n }).then(() => {\n writer.close();\n }).catch((error) => {\n console.error(\"Error while rendering:\", error);\n writer.write(encoder.encode(\"

An error occurred while rendering the response.

\"));\n writer.close();\n });\n\n return new Response(readable, {\n headers: {\n \"Content-Type\": \"text/html; charset=utf-8\",\n \"Transfer-Encoding\": \"chunked\",\n },\n });\n});\n\napp.post(\"/ask\", async (c) => {\n const body = await c.req.parseBody() ?? trendsData;\n let responseText = \"\";\n\n try {\n await trendGPT(JSON.stringify(body), (streamedData) => {\n responseText = streamedData;\n });\n } catch (error) {\n console.error(\"Error while processing request:\", error);\n return c.text(\"An error occurred while processing your request.\", 500);\n }\n\n return c.text(responseText);\n});\n\nexport default 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FraudTrendsGPT\n\n> Generate real-time Fraud Trend Reports using GPT-4o\n\n## Goal\n\nThis agent is designed to find trends in merchant transaction reports, and produce a real time report.\n\nReports are complete with relevant data tables and Mermaid charts.\n\n## Semi-Data-Agnostic\n\nThis agent is semi-agnostic to the data provided. \n\nMeaning, it will provide a report so long as the provided data is shaped similarly, or the prompt is updated to support the new data shape.\n\n## Agent Reusability\n\nMoreover, this agent can be rewritten for any number of use cases. \n\nWith some variable renaming, and rewriting of the prompt, this should produce very accurate data analytic reports for any data provided.\n\n![Screenshot 2024-08-22 at 7.32.16 PM.png](https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/fb6a3ff0-59ff-441d-9c36-3db88cdce200/public)\n![Screenshot 2024-08-22 at 7.33.22 PM.png](https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/94532123-291c-4208-0482-c28c64f51400/public)\n\n\nMigrated from folder: 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