Deep Research Agent

Conduct comprehensive research on any topic

\n \n

Researching topic...

This may take a few minutes depending on the research depth.

\n \n

Research Results

\n \n

Executive Summary

\n \n

\n \n \n

\n\n \n\n`;\n\n return new Response(html, {\n headers: {\n \"Content-Type\": \"text/html\"\n }\n });\n}",[],[184],{"_104":193,"_95":99,"_154":194,"_155":-5,"_156":139,"_157":195,"_159":160,"_106":196,"_100":162,"_163":178,"_165":197,"_167":22,"_168":-5,"_169":198,"_98":199},"900259b4-31be-11f0-8ad3-569c3dd06744","8eb9aa3a-31be-11f0-9ca4-569c3dd06744",13,["D",1747335497801],"/**\n * Simple test to verify that HTTP endpoints are working\n */\nexport default function(req: Request): Response {\n const html = `\n\n\n \n \n Simple Test\n \n\n\n

✅ Simple Test Successful!

\n \n

This endpoint is working correctly.

\n \n

Request URL

${req.url}

\n \n

Request Method

${req.method}

\n \n

Current Time

${new Date().toISOString()}

\n \n

Available Endpoints

\n\n`;\n\n return new Response(html, {\n headers: { 'Content-Type': 'text/html' }\n });\n}",[],[99],{"_104":201,"_95":202,"_154":203,"_155":-5,"_156":139,"_157":204,"_159":160,"_106":205,"_100":188,"_163":178,"_165":206,"_167":22,"_168":-5,"_169":207,"_98":208},"88441942-31be-11f0-ace6-569c3dd06744","testAgent.ts","f054e0ee-31bd-11f0-9861-569c3dd06744",11,["D",1747335484807],"/**\n * Test file for the Deep Research Agent\n * This will make a simple request to the agent and log the results\n */\nexport default async function(req: Request): Promise {\n try {\n // Get the URL of the current request to determine the agent URL\n const url = new URL(req.url);\n const baseUrl = `${url.protocol}//${url.host}`;\n const agentUrl = `${baseUrl}/deepResearchAgent`;\n \n console.log(`Testing Deep Research Agent at: ${agentUrl}`);\n \n // Make a simple test request\n const response = await fetch(agentUrl, {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json'\n },\n body: JSON.stringify({\n topic: \"Climate change adaptation strategies\",\n depth: \"light\" // Using light for faster testing\n })\n });\n \n console.log(`Response status: ${response.status}`);\n \n if (!response.ok) {\n const errorText = await response.text();\n console.error(`Error response: ${errorText}`);\n return new Response(JSON.stringify({\n success: false,\n error: `Test failed with status ${response.status}`,\n errorDetails: errorText\n }), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n \n const data = await response.json();\n \n // Log a summary of the results\n console.log(\"Test successful! Research summary:\");\n console.log(`Topic: ${data.topic}`);\n console.log(`Subtopics: ${data.research.subtopics.length}`);\n console.log(`Executive summary length: ${data.research.executiveSummary.length} characters`);\n console.log(`First subtopic: ${data.research.subtopics[0].title}`);\n \n // Create a nice HTML response\n const html = `\n\n\n \n \n Deep Research Agent Test\n \n\n\n

✅ Deep Research Agent Test Successful!

\n \n

The agent is working correctly and returned a complete research report.

\n \n

Research Topic

${data.topic}

\n \n

Number of Subtopics

${data.research.subtopics.length}

\n \n

First Subtopic

${data.research.subtopics[0].title}

\n \n

Executive Summary Preview

${data.research.executiveSummary.substring(0, 150)}...

\n \n

Next Steps

You can now use the Deep Research Agent through:

The web interface: ${baseUrl}/researchInterface
Direct API calls to: ${baseUrl}/deepResearchAgent

\n\n`;\n\n return new Response(html, {\n headers: { 'Content-Type': 'text/html' }\n });\n } catch (error) {\n console.error(\"Test failed:\", error);\n \n return new Response(JSON.stringify({\n success: false,\n error: error.message\n }), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n}",[],[202],"files",[151,172,182,192,200],"counts",{"_213":32,"_214":162,"_215":32,"_216":217},"pulls","branches","forks","envVars",{"_218":32,"_219":32},"count","emptyCount","contents",[],{"_104":193,"_95":99,"_154":194,"_155":-5,"_156":139,"_157":195,"_159":160,"_106":223,"_100":162,"_163":178,"_165":197,"_167":22,"_168":-5,"_98":224},["D",1747335497801],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.code.$",{"_93":94,"_95":96,"_97":43,"_100":101,"_98":99,"_102":233,"_149":238,"_209":254,"_164":255,"_220":257,"_258":-5,"_259":22,"_260":-5,"_261":-5,"_262":-5,"_263":264},{"_104":105,"_95":96,"_106":234,"_108":-5,"_109":22,"_110":111,"_112":-5,"_113":-5,"_14":114,"_115":116,"_117":22,"_118":-5,"_119":32,"_16":120,"_121":122,"_123":122,"_124":125,"_126":125,"_127":125,"_128":122,"_129":122,"_23":235,"_133":236,"_136":237,"_148":22},["D",1747334673999],{"_93":94,"_131":132},{"_93":94,"_135":132},{"_100":138,"_95":43,"_104":139,"_140":105,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":-5,"_146":96,"_147":94},[239,242,245,248,251],{"_104":152,"_95":153,"_154":116,"_155":-5,"_156":139,"_157":158,"_159":160,"_106":161,"_100":162,"_163":164,"_165":166,"_167":22,"_168":-5,"_169":240,"_98":241},[],[153],{"_104":173,"_95":174,"_154":175,"_155":-5,"_156":139,"_157":101,"_159":22,"_106":176,"_100":177,"_163":178,"_165":179,"_167":22,"_168":-5,"_169":243,"_98":244},[],[174],{"_104":183,"_95":184,"_154":185,"_155":-5,"_156":139,"_157":186,"_159":160,"_106":187,"_100":188,"_163":178,"_165":189,"_167":22,"_168":-5,"_169":246,"_98":247},[],[184],{"_104":193,"_95":99,"_154":194,"_155":-5,"_156":139,"_157":195,"_159":160,"_106":196,"_100":162,"_163":178,"_165":197,"_167":22,"_168":-5,"_169":249,"_98":250},[],[99],{"_104":201,"_95":202,"_154":203,"_155":-5,"_156":139,"_157":204,"_159":160,"_106":205,"_100":188,"_163":178,"_165":206,"_167":22,"_168":-5,"_169":252,"_98":253},[],[202],[239,242,245,248,251],{"_104":193,"_95":99,"_154":194,"_155":-5,"_156":139,"_157":195,"_159":160,"_106":223,"_100":162,"_163":178,"_165":197,"_167":22,"_168":-5,"_98":256},[99],[],"upstream","showCompareCallout","pull","ahead","behind","templates",[],"actionData","errors"]

ibrinzila

Idk