AXIOM MESH

SYSTEM_READY // 2026.01.20

\n\n

\n \n ${\n raw(\n SERVERS.map((s) => `\n

${s.name}

\n ${s.type}\n

\n ${\n raw(\n s.models.map((m) => {\n // Escape for JS string: replace \\ → \\\\, ' → \\', \" → \\\"\n const safeModel = JSON.stringify(m).slice(1, -1); // JSON escapes properly\n return `\n \n `;\n }).join(\"\"),\n )\n }\n

\n `).join(\"\"),\n )\n }\n \n

\n\n

LIVE LOGS

\n \n

\n\n \n \n \n `);\n});\n\napp.get(\"/logs\", (c) => {\n const stream = new ReadableStream({\n start(controller) {\n const encoder = new TextEncoder();\n\n logs.forEach((log) => {\n controller.enqueue(encoder.encode(`data: ${JSON.stringify(log)}\\n\\n`));\n });\n\n const interval = setInterval(() => {\n controller.enqueue(encoder.encode(\": ping\\n\\n\"));\n }, 15000);\n\n c.req.signal.addEventListener(\"abort\", () => {\n clearInterval(interval);\n controller.close();\n });\n },\n });\n\n return new Response(stream, {\n headers: {\n \"Content-Type\": \"text/event-stream\",\n \"Cache-Control\": \"no-cache\",\n \"Connection\": \"keep-alive\",\n },\n });\n});\n// Prompt to generate 50 candlestick pattern groupings\nasync function generatePatternGroupings() {\n const prompt = `\n Generate 50 unique candlestick pattern groupings. \n Each grouping should have a short name suitable for a URL slug.\n Format as JSON: [{ \"name\": \"Grouping Name\", \"slug\": \"grouping-slug\" }]\n `;\n const raw = await callAI(prompt);\n try {\n return JSON.parse(raw);\n } catch {\n return [];\n }\n}\n\n// Prompt to generate patterns for a grouping\nasync function generatePatternsForGrouping(groupingName) {\n const prompt = `\n List all candlestick patterns in the grouping \"${groupingName}\".\n Provide JSON: [{ \"name\": \"Pattern Name\", \"slug\": \"pattern-slug\" }]\n `;\n const raw = await callAI(prompt);\n try {\n return JSON.parse(raw);\n } catch {\n return [];\n }\n}\n\n// Prompt to generate detailed pattern data\nasync function generatePatternDetails(patternName) {\n const prompt = `\n Provide detailed candlestick analysis for \"${patternName}\":\n - Exact body and wick measurements\n - Typical volume\n - Useful indicators\n - Socioeconomic context\n - Market type (bull, bear, range)\n - Price direction\n - Multi-timeframe interpretations\n - Take profit and stop loss\n - ASCII candle matrix (green/red with wicks on white background)\n Respond in JSON with keys: measurements, volume, indicators, context, market, direction, timeframe, risk, matrix\n `;\n const raw = await callAI(prompt);\n try {\n return JSON.parse(raw);\n } catch {\n return {};\n }\n}\n\n// Main grouping page\napp.get(\"/patterns\", async (c) => {\n const groupings = await generatePatternGroupings();\n return c.html(`\n \n Candlestick Pattern Groupings\n \n

Candlestick Pattern Groupings

${g?.name}

\n \n \n `);\n});\n\n// Grouping page with pattern links\napp.get(\"/patterns/:group\", async (c) => {\n const { group } = c.req.param();\n const patterns = await generatePatternsForGrouping(group);\n return c.html(`\n \n Patterns in ${group}\n \n

Patterns in ${group}

${p.name}

\n \n \n `);\n});\n\n// Individual pattern page with full details\napp.get(\"/patterns/:group/:pattern\", async (c) => {\n const { group, pattern } = c.req.param();\n const details = await generatePatternDetails(pattern);\n return c.html(`\n \n ${pattern}\n \n

${pattern}

Measurements

${\n    JSON.stringify(details.measurements, null, 2)\n  }

Volume

${details.volume}

Indicators

${details.indicators}

Socioeconomic Context

${details.context}

Market / Direction

${details.market} / ${details.direction}

Timeframes

${\n    JSON.stringify(details.timeframe, null, 2)\n  }

Risk (Take Profit / Stop Loss)

${\n    JSON.stringify(details.risk, null, 2)\n  }

Pattern Matrix

${details.matrix}

\n \n \n `);\n});\n\napp.get(\"/test\", async (c) => {\n console.log(`test`);\n const { server, model } = c.req.query();\n console.log(`test ${server},${model}`);\n const node = SERVERS.find((s) => s.id === server);\n if (!node) {\n console.log(`test !node`);\n return c.json({ success: false });\n }\n const ok = await dispatch(\n node,\n model,\n \"Respond exactly OK\",\n \"Strict\",\n new AbortController().signal,\n );\n\n return c.json({ success: ok === \"OK\" });\n});\n\napp.get(\"/tests\", async (c) => {\n const results = await runAllTests();\n return c.json(results);\n});\n\napp.get(\"/health\", (c) => {\n const summary = SERVERS.map((s) => ({\n id: s.id,\n health: s.health.toFixed(2),\n models: s.models.map((m) => ({\n model: m,\n status: s.health > 0.4 ? \"healthy\" : s.health > 0.2 ? \"degraded\" : \"down\",\n })),\n }));\n return c.json({ status: \"ok\", providers: summary });\n});\n\napp.post(\"/chat\", async (c) => {\n const { prompt, system = \"\" } = await c.req.json();\n if (!prompt) return c.json({ error: \"prompt required\" }, 400);\n\n const result = await callAI(prompt, system);\n return c.text(result);\n});\n\nexport default app.fetch;","deleted","label",[99],"permalink","https://www.val.town/x/ziggyware/agentHub/code/mew2.ts","extension","actionData","errors"]