POLLINATIONS_FUNCTIONAL

// CLASSIFIED_FUNCTIONAL_NODES_V9

\n \n

\n\n JSON.stringify({messages: [{role:\"user\", content: p}], model: \"openai\"}),\n OAI_NO_MODEL: (p) => JSON.stringify({messages: [{role:\"user\", content: p}]}),\n RAW_TEXT: (p) => p,\n FORM_DATA: (p) => \"prompt=\" + encodeURIComponent(p),\n NONE: () => null\n };\n\n function init() {\n const root = document.getElementById('matrix-root');\n let html = '';\n FUNCTIONAL_GROUPS.forEach(group => {\n group.configs.forEach((c, i) => {\n const id = \\`\\${group.tag}-\\${i}\\`;\n html += \\`\n

\n \\${group.name}\n

\\${c.m} | \\${c.ep.replace('https://','')}

IDLE...

\\`;\n });\n });\n root.innerHTML = html;\n }\n\n async function runFunctionalMatrix() {\n for (const group of FUNCTIONAL_GROUPS) {\n group.configs.forEach(async (c, i) => {\n const id = \\`\\${group.tag}-\\${i}\\`;\n const resBox = document.getElementById(\"res-\" + id);\n resBox.innerText = \"PROBING...\";\n\n try {\n const r = await fetch(c.ep, {\n method: c.m,\n headers: c.v === \"RAW_TEXT\" ? {\"Content-Type\":\"text/plain\"} : {\"Content-Type\":\"application/json\"},\n body: Payloads[c.v](P)\n });\n const raw = await r.text();\n let display = raw;\n let thought = \"\";\n\n try {\n const json = JSON.parse(raw);\n display = json.choices?.[0]?.message?.content || json.content || raw;\n if(json.choices?.[0]?.message?.reasoning_content) {\n thought = json.choices[0].message.reasoning_content;\n }\n } catch(e) {}\n\n resBox.innerHTML = \\`

\\${display}

\\` + \n (thought ? \\`REASONING: \\${thought.substring(0,150)}...\\` : \"\");\n } catch(err) {\n resBox.innerText = \"OFFLINE: \" + err.message;\n }\n });\n }\n }\n\n init();\n `,\n }}\n />\n \n ,\n );\n});\n\nexport default app.fetch;","deleted","label",[99],"permalink","https://www.val.town/x/ziggyware/agentHub/code/new-file-7150.tsx","extension","actionData","errors"]